Publications

Scientific publications are an important output of FAIR research, covering advances in artificial intelligence as well as research across different application domains.

This page brings together publications resulting from FAIR research. Annual publication overviews can be downloaded as PDF files, while the detailed lists below provide the individual publications for each year.

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Abels2025a	Abels, A., Trianni, V., Nowé, A., & Lenaerts, T. (2025). Collective Intelligence in Decision-Making with Non-Stationary Experts. Journal of Artificial Intelligence Research, 83, 1-27. Article 9.
Abels2025b	Abels, A., & Lenaerts, T. (2025). Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds. In J. Kwok (Ed.), Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25 (pp. 321-329). (IJCAI International Joint Conference on Artificial Intelligence). International Joint Conferences on Artificial Intelligence Organization.
Ablanque2025	Ablanque, Nicolas, Nasrulloh Ratu Bagus Satrio Loka, Santiago Torras, Sriram Gurumurthy, Joaquim Rigola, Carles Oliet, Ivo Couckuyt, Tom Dhaene, and Antonello Monti. 2025. “Vapor Compression System Data-Driven Surrogate Models for Aircraft Environmental Control Systems.” INTERNATIONAL JOURNAL OF REFRIGERATION 178: 336–46.
Achten2025	Sonny Achten, Zander Op de Beeck, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens, HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity, ICANN 2025.
Adriaensen2025	R. Adriaensen, J. Maene, "Extracting Moore Machines from Transformers Using Queries and Counterexamples", Advances in Intelligent Data Analysis XXIII; 2025; Vol. 15669; pp. 419 - 431, 2025
Algaba2025	Algaba, A., Mazijn, C., Holst, V. T., Tori, F. J., Wenmackers, S., & Ginis, V. (2024). Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias. Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL).
Ally2025a	Ally, S., Daems, P.-J., Verstraeten, T., Nowe, A., & Helsen, J. (2025). Modular deep learning approach for wind farm power forecasting and wake loss prediction. Wind Energy Science, 10(4), 779-812.
Ally2025b	Ally, S., Verstraeten, T., Nowé, A., & Helsen, J. (2025). Day-ahead trading and power control for hybrid wind-hydrogen plants with multi-agent reinforcement learning. Applied Energy, 401(part A), 1-20. Article 126588. https://doi.org/10.1016/j.apenergy.2025.126588
Ally2025c	Ally, S., Verstraeten, T., Nowé, A., & Helsen, J. (2025). Optimal day-ahead trading and power control for a hybrid wind-hydrogen plant with multi-agent reinforcement learning. Journal of Physics: Conference Series, 3025(1), Article 012022.
Amini2025a	Amini, Sasan, Antonio Candelieri, and Inneke Van Nieuwenhuyse. “Decision Maker Preferences in Surrogate-Based Multi-Objective Optimization: A Survey.” In Learning and Intelligent Optimization, edited by Yingqian Zhang, Milan Hladik, and Hossein Moosaei. Springer Nature Switzerland, 2026.
AnL2025	An, Lixuan, Bernard De Baets, and Stijn Luca. 2025. “The Extreme Value Support Measure Machine for Group Anomaly Detection.” MATHEMATICS 13 (11).
Avalos2025a	Avalos, R., Bargiacchi, E., Nowe, A., Roijers, D., & Oliehoek, F. A. (2025). Online Planning in POMDPs with State-Requests. Reinforcement Learning Journal, 1, 108-129.
Avila2025a	Jara Avila, F. J., Verstraeten, T., Daems, P.-J., Nowe, A., & Helsen, J. (2025). A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data. Energies, 18(14), 1-23. Article 3764. https://doi.org/10.3390/en18143764
AvilaCampos2025	Avila-Campos, Pablo, Jetmir Haxhibeqiri, Xianjun Jiao, Ingrid Moerman, and Jeroen Hoebeke. 2025. “Traffic Pattern-Based Scheduling for Wireless Non-TSN End Nodes.” In 2025 IEEE 21ST INTERNATIONAL CONFERENCE ON FACTORY COMMUNICATION SYSTEMS, WFCS, 1–2. IEEE. .
Azmani2025	Azmani, H., Rosseau, A., Blondeel, M., & Nowe, A. (2025). A JAX-Accelerated Simulation Framework for Multi-Agent Energy Management in Energy Communities. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, 3003-3005.
Baert2025a	Baert, Mattijs, Pietro Mazzaglia, Sam Leroux, and Pieter Simoens. 2025. “Maximum Causal Entropy Inverse Constrained Reinforcement Learning.” MACHINE LEARNING 114 (4). .
Baert2025b	Baert, Mattijs, Sam Leroux, and Pieter Simoens. 2025. “Reward Machine Inference for Robotic Manipulation.” In 8th Workshop on Generalization in Planning (GenPlan), Part of AAAI2025, Proceedings
Baert2025c	Baert, Mattijs, Sam Leroux, and Pieter Simoens. 2025. “Learning Task Specifications from Demonstrations as Probabilistic Automata.” In 2025 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), edited by C Ott, 8267–74. NEW YORK: IEEE.
Bagot2025a	Louis Bagot, Lynn D’eer, Steven Latré, Tom De Schepper & Kevin Mets. "GPI-tree search: algorithms for decision-time planning with the general policy improvement theorem". Neural Computing and Applications, July 2025.
Bagot2025b	Bagot, L., Alegre, L. N., Latré, S., Mets, K., & da Silva, B. C. (2025). Successor Clusters: A Behavior Basis for Unsupervised Zero-Shot Reinforcement Learning. Transactions on Machine Learning Research.
Barfuss2025	Barfuss, W., Flack, J., Gokhale, C. S., Hammond, L., Hilbe, C., Hughes, E., Leibo, J. Z., Lenaerts, T., Leonard, N., Levin, S., Madhushani Sehwag, U., McAvoy, A., Meylahn, J. M., & Santos, F. P. (2025). Collective cooperative intelligence. Proceedings of the National Academy of Sciences of the United States of America, 122(25), 1-10. Article e2319948121. https://doi.org/10.1073/pnas.2319948121
Beigrezaei2025	A. Beigrezaei, A. Vroman. Transfer learning and uncertainty estimation for data-driven battery state of health estimation. Machine Learning and Principles and Practice of Knowledge Discovery in Databases – International Workshops of ECML PKDD 2025, Porto, Portugal, September 15-19, 2025
Bhat25a	Bhattacharya, A., Stumpf, S., De Croon, R., & Verbert, K. (2025, April). Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-20).
Bhattacharya2025	Bhattacharya, A., Vanherwegen, T., Verbert, K. (2025). Show Me How: Benefits and Challenges of Agent-Augmented Counterfactual Explanations for Non-Expert Users. In 33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2025) (pp. 174 - 184).
Blockeel2025	H. Blockeel, D. Van Wesenbeeck, A. Al Warrad, "Evidence Accumulation as a Combining Rule for Decision Forests", Challenges and Algorithms for Knowledge Discovery from Data; 2025; Vol. 16067; pp. 127 - 144, 2025
Bocklandt2025	S. Bocklandt, W. Meert, L. De Raedt, V. Derkinderen, K. Vanderstraeten, W. Pijpops, K. Jaspers, "Queryable and Interpretable PU Learning through Probabilistic Circuits", ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases; 2025; Vol. 16015; pp. 425 - 442, 2025
Bollen2025	Bollen, Jeroen; Van den Bussche, Jan; Vansummeren, Stijn; Virtema, Jonni. "Halting Recurrent GNNs and the Graded μ-Calculus". Proceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning (KR) 2025.
Booth2025	Booth, B., Leroux, S., Verhees, D., Vandecasteele, M., Blanc, C., Bey-Temsamani, A., & Philips, W. (2025). Hybrid data fusion for low-cost high-speed monitoring in powder bed fusion 3D printing. 2025 17TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING, ICCAE. Presented at the The 17th International Conference on Computer and Automation Engineering (ICCAE 2025), Perth, Australia.
Botman2025	Botman, L., Lago Garcia, J., Becker, T., Vanthournout, K., De Moor, B. (2025). A global probabilistic approach for short-term forecasting of individual households electricity concumption. In Applied Energy (Vol. 382).
Botoko2025	Botoko Ekila, J., Verheyen, L., Beuls, K., & Van Eecke, P. (2025). Constructions All the Way Up: From Sensory Experiences to Construction Grammars. In C. Bonial, M. Torgbi, L. Weissweiler, A. Blodgett, K. Beuls, P. Van Eecke, & H. T. Madabushi (Eds.), Proceedings of the Second International Workshop on Construction Grammars and NLP (pp. 84-95). Association for Computational Linguistics (ACL).
Bransen2025	L. Bransen, J. Davis, "Measuring player pace of play in elite female association football", International Journal Of Sports Science & Coaching; 2025; Vol. 20; iss. 4; pp. 1541 - 1548, 2025
Bruninx2025	Bruninx, M., Verstraeten, T., Kazempour, J., & Helsen, J. (2025). Day-Ahead Bidding Strategies for Wind Farm Operators Under a One-Price Balancing Scheme. In E-Energy '25: Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems (blz. 719-726). (E-ENERGY 2025 - Proceedings of the 2025 16th ACM International Conference on Future and Sustainable Energy Systems). ACM Digital Library.
Buyl2025a	Buyl, Maarten, Alexander Rogiers, Sander Noels, Iris Dominguez-Catena, Edith Heiter, Raphaël Romero, Iman Johary, Alexandru-Cristian Mara, Jefrey Lijffijt, and Tijl De Bie. 2024. “Large Language Models Reflect the Ideology of Their Creators.”
Buyl2025b	Buyl, Maarten, Hadi Khalaf, Claudio Mayrink Verdun, Lucas Monteiro Paes, Caio C. Vieira Machado, and Flavio du Pin Calmon. 2025. “AI Alignment at Your Discretion.” In PROCEEDINGS OF THE 2025 ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, ACM FACCT 2025, 3046–74. Association for Computing Machinery (ACM).
Cannoodt2025	Cannoodt, Robrecht, Louise Deconinck, Artuur Couckuyt, Nikolay S. Markov*, Luke Zappia, Malte D. Luecken, Marta Interlandi, Yvan Saeys, and Wouter Saelens. 2025. “Funkyheatmap : Visualising Data Frames with Mixed Data Types.” JOURNAL OF OPEN SOURCE SOFTWARE 10 (108).
Cardinaels2025	Dries Cardinaels, Tom Veuskens, Raf Ramakers, and Kris Luyten. 2025. Challenges and Opportunities for Delay-Invariant Telerobotic Interactions. In Companion Proceedings of the 30th International Conference on Intelligent User Interfaces (IUI '25 Companion). Association for Computing Machinery, New York, NY, USA, 26–30.
Cardoen2025	Cardoen, Thorsten, Patricia Soster de Carvalho, Gunther Antonissen, Frank A. M. Tuyttens, Sam Leroux, and Pieter Simoens. 2025. “Multi-Camera Detection and Tracking for Individual Broiler Monitoring.” COMPUTERS AND ELECTRONICS IN AGRICULTURE 237 (Part A).
Carpentier2025	L. Carpentier, W. Meert, M. Verbeke, "InTimeAD: Interactive Time Series Anomaly Detection", The 40th Annual AAAI Conference on Artificial Intelligence, 2026
Cascioli2025	Cascioli, L., Jain, C., Steinmetz, M., Davis, J., Hoffmann, J. (2025). Safety Debugging of Tree-Ensemble Action Policies in AI Planning: From Fault Detection to Fault Fixing. In Proceedings of the ICAPS'25 Workshop on Reliability In Planning and Learning (RIPL).
Cassiman2025	Cassiman, S., Proesmans, M., Tuytelaars, T., & Van Gool, L. (2025). Model Weights Reflect a Continuous Space of Input Image Domains. Winter Conference on Applications of Computer Vision Workshops (pp. 644-653).
Cedro2025	Cedro, M. and Martens, D., 2025, July. GraphXAIN: narratives to explain graph neural networks. In World Conference on Explainable Artificial Intelligence (pp. 91-114). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-08327-2_5
Chamiti2025	Chamiti, T., Di Bella, L., Munteanu, A., & Deligiannis, N. (2025). ReferGPT: Towards Zero-Shot Referring Multi-Object Tracking. In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops WDFM-AD (pp. 3849-3858). IEEE.
Chen2025a	Chen, C., D'hondt, R., Vens, C., van den Noortgate, W. (2025). Factor Retention in Exploratory Multidimensional Item Response Theory. In Educational And Psychological Measurement (Vol. 85, Number 4, pp. 672 - 695).
Chen2025b	Chen, L., Kuuliala, L., Walgraeve, C., Demeestere, K., Devlieghere, F., & De Baets, B. (2025). Multi-target prediction in volatolomics with deep neural networks : modeling volatile organic compounds produced by Brochothrix thermosphacta under modified atmospheres. FOOD RESEARCH INTERNATIONAL, 222(part 1).
ChenG2025b	Chen, Guangan ; Truong, Anh Minh ; Lin, Hanhe ; Vlaminck, Michiel ; Philips, Wilfried ; Luong, Hiep, Improving novel view synthesis of 360° scenes in extremely sparse views by jointly training hemisphere sampled synthetic images, 2025, 2025 IEEE International Conference on Image Processing (ICIP). 2025. IEEE. p.821-826
Claes2025	Claes, Evan, Tommy Heck, Roger Dalmau-Diaz, Mark Duerkop, Filip Donvil, Anais Schaschkow, Britt Van Ballaer, Jan Verwaeren, and Jan Schrooten. 2025. “Digital Model-Driven Cell & Gene Therapy Process Development.” BIOTECHNOLOGY AND BIOENGINEERING 122 (12): 3271–84
Coenen2025	Tanguy Coenen, Michiel Fierens, Beatriz Esteves, Esther De Loof, "A perspective on the use of personal data stores in data spaces to support multiparty data access as required by the data Act." Data in Brief, Vol 62, 2025, 111949.
Colleman2025	Colleman, S., Nardi-Dei, A., Geilen, M. C., Stuijk, S., & Goedemé, T. (2025). A Flexible Multi-Core Hardware Architecture for Stereo-Based Depth Estimation CNNs. Electronics, 14(22), 4425.
Coppens2025	Coppens, Ine, Toon De Pessemier, and Luc Martens. 2025. “Investigating Different Recommender Algorithms in the Domain of Physical Activity Recommendations : A Longitudinal between-Subjects User Study.” USER MODELING AND USER-ADAPTED INTERACTION 35 (1). https://doi.org/10.1007/s11257-025-09427-3
Cornelissen2025	Cornelissen, Ciem, Sam Leroux, and Pieter Simoens. 2025. “Adaptive Clustering for Efficient Phenotype Segmentation of UAV Hyperspectral Data.” In 2025 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION WORKSHOPS, WACVW, 422–31. IEEE.
Cornelissen2025b	Cornelissen, Ciem, De Coninck, S., Willekens, A., Leroux S., Simoens P. “In-Field Mapping of Grape Yield and Quality with Illumination invariant Deep Learning”. IEEE Internet of Things Journal vol. 12(23), Dec. 2025
Cuyckens2025a	Cuyckens, S., Antonio, R., Fang, C., & Verhelst, M. (2025). iEEG Seizure Detection with a Sparse Hyperdimensional Computing Accelerator. In 2025 20th International Conference on PhD Research in Microelectronics and Electronics (PRIME).
Cuyckens2025b	S. Cuyckens, X. Yi, N. S. Murthy, C. Fang and M. Verhelst, "Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning," 2025 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), Reykjavík, Iceland, 2025, pp. 1-7, doi: 10.1109/ISLPED65674.2025.11261796.
D’hondt2025	R. D’hondt, L. Van Kleunen, P. Ilidio, C. Vens, “Challenging the Binary Classification Paradigm in Longitudinal Health Data Settings”, PharML workshop at ECML-PKDD, 2025.
Daems2025	Daems, R., Opper, M., Crevecoeur, G., & Birdal, T. (2025). Efficient training of neural SDEs using stochastic optimal control. ESANN 2025 : 33rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Proceedings, 693–698.
Daenens2025a	Daenens, S., Verstraeten, T., Daems, P.-J., Nowe, A., & Helsen, J. (2025). Power Prediction in Offshore Wind Farms using Transferable Multi-Task Graph Neural Networks. Journal of Physics: Conference Series, 3016, Article 012021.
Daenens2025b	Daenens, S., Verstraeten, T., Daems, P.-J., Nowe, A., & Helsen, J. (2025). Spatio-temporal graph neural networks for power prediction in offshore wind farms using SCADA data. Wind Energy Science, 10(6), 1137-1152.
Daniels2025	T. Daniels, M. Bosteels, P. Robberechts, J. Davis, "RegCheck: A Real-Time Approach for Flagging Potentially Malicious Domain Name Registrations", Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2; 2025
Davis2025	Davis, J., Robberechts, P. (2025). Expected Metrics as a Measure of Skill: Reflections on Finishing in Soccer. In Proceedings of the 10th Workshop on Machine Learning and Data Mining for Sports Analytics.
DeBaer2025	J. De Baer, A.S. Doğruöz, T. Demeester and C. Develder, "Single- vs. dual-prompt dialogue generation with LLMs for job interviews in human Resources", in Proc. 4th Generation Evaluation & Metrics (GEM) workshop at ACL 2025, Vienna, Austria, 31 Jul. 2025, pp. 947-957.
Deberdt 2025	Deberdt, G., Rabaey, P., Van Damme, S., Quenon, L., Decat, P., & Demeester, T. (2025) Using causal effect estimation to evaluate occupational stress factors during a weekend on-call shift among general practitioners in training. BMC Primary Care.
Debot2025	Debot, David, Gabriele Venturato, Giuseppe Marra, and Luc De Raedt. "Neurosymbolic Reinforcement Learning: Playing MiniHack With Probabilistic Logic Shields." In AAAI 2025.
DeConinck2025a	De Coninck, S., Leroux, S., & Simoens, P. (2025). Exploring correlated facial attributes in text-to-image models : unintended consequences in synthetic face generation. 2025 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION WORKSHOPS, WACVW, 1302–1311.
DeConinck2025b	De Coninck, Sander, Emilio Gamba, Bart Van Doninck, Abdellatif Bey-Temsamani, Sam Leroux, and Pieter Simoens. 2025. “Enabling Privacy-Aware AI-Based Ergonomic Analysis.” In PROCEDIA CIRP, 136:371–76. (35th CIRP Design 2025)
Decorte2025	Decorte, Jens-Joris, Jeroen Van Hautte, Chris Develder, and Thomas Demeester. 2025. “Efficient Text Encoders for Labor Market Analysis.” IEEE ACCESS 13: 133596–608.
Defrance2025	Defrance, Marybeth, and Tijl De Bie. 2025. “Maximal Combinations of Fairness Definitions.” JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH 82: 1495–1579.
Defrance2025b	Defrance, M., Buyl, M., & De Bie, T. (2025). ABCFair : an adaptable benchmark approach for comparing fairness methods. In H. Weerts, M. Pechenizkiy, D. Allhutter, A. M. Corrêa, T. Grote, & C. Liem (Eds.), PROCEEDINGS OF MACHINE LEARNING RESEARCH (Vol. 294, pp. 383–388). PMLR.
Defre2025	Marianne Defresne , Jayanta Mandi and Tias Guns. “Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation.” In IJCAI 2025.
Dekker2025	Dekker, P., Klamer, M., & de Boer, B. (2025). Phonotactic mechanisms behind contact-induced morphological simplification in Alorese: An agent-based model of intergenerational transmission. Language dynamics and change, 15(1), 1-39. Article 1.
Delaeter2025	Delaeter, Thomas, Xianlu Li, Nicolas Nadisic, and Aleksandra Pizurica. 2025. “Semi-Supervised Deep Subspace Clustering for Hyperspectral Images.” In EUVIP 2025 : 13th European Workshop on Visual Information Processing.
Delgrange2025a	Delgrange, F., Avni, G., Lukina, A., Schilling, C., Nowe, A., & Pérez, G. (2025). Composing Reinforcement Learning Policies, with Formal Guarantees. In Composing Reinforcement Learning Policies, with Formal Guarantees (Vol. Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, pp. 574-583). ACM.
Delgrange2025b	Delgrange, F., Avni, G., Lukina, A., Schilling, C., Nowe, A., & Pérez, G. A. (2025). Controller Synthesis from Deep Reinforcement Learning Policies. Paper presented at PRL Workshop Series , Philadelphia, Pennsylvania, United States.
DeMeulemeester2025	De Meulemeester, H., De Smet, F., van Dorst, J., Derroitte, E., De Moor, B. (2025). Explainable unsupervised anomaly detection for healthcare insurance data. In Bmc Medical Informatics And Decision Making (Vol. 25, Number 1).
DePessemier2025	De Pessemier, T, Willems, B. & Martens, L, “Active learning algorithm for alleviating the user cold start problem of recommender systems”. Sci Rep 15, 24493, 2025.s41598-025-09708-2
Depoortere2025	Depoortere, J., Driesen, J., Suykens, J., Kazmi, H. (2025). SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe. In International Journal Of Forecasting (Vol. 41, Number 3).
Deprez2025	Deprez, B., Wei, W., Verbeke, W., Baesens, B., Mets, K., & Verdonck, T. (2025). Advances in continual graph learning for anti‐money laundering systems : a comprehensive review. Wiley Interdisciplinary Reviews: Computational Statistics, 17(3), 1–28. https://doi.org/10.1002/WICS.70040
Deproost2025a	Deproost, S., Steckelmacher, D., & Nowe, A. (2025). Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution. . In Communications in Computer and Information Science: BNAIC/BeNeLearn 2024 post-proceedings (CCIS). Springer.
Desmedt2025	Desmedt, C., Budts, W., De Vos, M., Moons, P. (2025). Artificial intelligence-generated podcasts open new doors to make science accessible: a mixed-method evaluation of quality and the potential for science communication. In European Journal Of Cardiovascular Nursing (Vol. 24, Number 6, pp. 885 - 895).
DeSmet2025	De Smet, Lennert, Gabriele Venturato, Luc De Raedt, and Giuseppe Marra. "Relational neurosymbolic Markov models." In AAAI 2025.
deTinguy2025	de Tinguy, D., Verbelen, T., Gamba, E., & Dhoedt, B. (2025). Bio-inspired topological autonomous navigation with active inference in robotics. 2025 25th International Conference on Control, Automation and Systems (ICCAS), 1698–1705
Devogel2025	Devogel A., De Lathauwer L., "Blind identification of underdetermined mixtures via reduced tensor decomposition", Tech. Report 25-67, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2025. In Proceedings of the 33rd European Signal Processing Conference (EUSIPCO 2025), Palermo, Italy, 2025.
DeVogelaere2025	De Vogelaere, R., Van Dessel, K., Vennekens, J. (2025). A practical approach to handling tabular data in logic. In: Lecture Notes in Computer Science. Presented at the Practical Aspects of Declarative Languages (PADL), Denver, Colorado, USA, 20 Jan 2025-21 Jan 2025.
Devos2025	L. Devos, T. Martens, D. C. Oruç, W. Meert, H. Blockeel, J. Davis, “Compressing Tree Ensembles Through Level-Wise Optimization and Pruning”, Proceedings of the 42nd International Conference on Machine Learning (ICML), PMLR.
DeWaele2025	De Waele, Gaetan, Gerben Menschaert, Peter Vandamme, and Willem Waegeman. 2025. “Pre-Trained Maldi Transformers Improve MALDI-TOF MS-Based Prediction.” COMPUTERS IN BIOLOGY AND MEDICINE 186.
DeWinne2025	J. De Winne, S. Willems. S. Luthman, D. Babin, H. Luong, W. Ceelen. "Clinical validation of deep learning for real-time tissue oxygenation estimation using spectral imaging." 28th international conference on medical image computing and computer aided interventions (MICCAI 2025) 23-27 September, 2025. Proceedings, Part X, 15969, 119–126.
Dewolf2025	Dewolf, Nicolas, Bernard De Baets, and Willem Waegeman. 2025. “Conditional Validity of Heteroskedastic Conformal Regression.” INFORMATION AND INFERENCE-A JOURNAL OF THE IMA 14 (2).
Dewulf2025	Dewulf, Pieter, Bernard De Baets, and Michiel Stock. 2025. “The Hyperdimensional Transform for Distributional Modeling, Regression and Classification.” NEURAL COMPUTING & APPLICATIONS 37 (23): 19393–422.
Dewulf2025	Dewulf, Q., Manhaeve, R., Meert, W., De Raedt, L. (2025). Neurosymbolic OCR for Handwritten Tax Forms. In 28th European Conference on Artificial Intelligence (ECAI) (Vol. 413, pp. 5100 - 5103).
Dewulf2025b	Dewulf, P., Stock, M., & De Baets, B. (2025). The hyperdimensional transform : a holographic representation of functions. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 19(1), 3–18.
Dhondt2025a	D'hondt, R., de Boer, J., Vens, C. (2025). Multi-Event Survival-Informed Clustering for Time-to-Worsening in Multiple Sclerosis. In: Lecture Notes in Computer Science, (77-87). Presented at the International Conference on Artificial Intelligence in Medicine, Pavia, Italy. doi: 10.1007/978-3-031-95838-0_8
Dhondt2025b	D'hondt, R., Dedja, K., Aerts, S., Van Wijmeersch, B., Kalincik, T., Reddel, S., Havrdova, E.K., Lugaresi, A., Weinstock-Guttman, B., Mrabet, S., Lalive, P., Kermode, A.G., Ozakbas, S., Patti, F., Prat, A., Tomassini, V., Roos, I., Alroughani, R., Gerlach, O., Khoury, S.J., van Pesch, V., Sa, M.J., Prevost, J., Spitaleri, D., Mccombe, P., Solaro, C., van der Walt, A., Al-Asmi, H.B A., Laureys, G., Sanchez-Menoyo, J.L., de Gans, K., Al-Asmi, A., Deri, N., Csepany, T., Al-Harbi, T., Carroll, W.M., Rozsa, C., Singhal, B., Hardy, T.A., Ramanathan, S., Peeters, L., Vens, C., MSBase Study Grp, M.S. with D'hondt, R. (corresp. author) (2025). Explainable time-to-progression predictions in multiple sclerosis. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 263, Art.No. ARTN 108624. doi: 10.1016/j.cmpb.2025.108624
Dhondt2025c	D'hondt, R., Vens, C. (2025). BellatrExplorer: An Interactive Random Forest Local Explainability Dashboard. In: Lecture Notes in Computer Science. Presented at the ECML/PKDD 2025, Porto, Portugal.
Dhont2025	, M. Dhont, Munteanu, A., & Tsiporkova, E. (2025) Forecasting Traffic Progression in Terms of Semantically Interpretable States by Exploring Multiple Data Representations. IEEE Transactions on Intelligent Transportation Systems
Diels2025	Laurens Diels, Michiel Vlaminck, Bas Boom, Wilfried Philips and Hiep Luong, "Towards High-Quality 3D Scans of Orchards for Automated Pruning," 2025 18th International Conference on Machine Vision (ICMV 2025), Oct.19-22, Paris, France.
DominguezCatena2025	Dominguez-Catena, Iris, Daniel Paternain, Mikel Galar, Marybeth Defrance, Maarten Buyl, and Tijl De Bie. 2025. “Biased Heritage : How Datasets Shape Models in Facial Expression Recognition.”
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Pandey 2022a	Pandey A, De Meulemeester H, De Plaen H, De Moor B, Suykens J, "Recurrent Restricted Kernel Machines for Time-series Forecasting", in Proceedings of the European symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022), 2022.
Pandey 2022b	Pandey A, Fanuel M, Schreurs J, Suykens J, "Disentangled representation learning and generation with manifold optimization", Neural Computation, 2022.
Park2022	Park J Y, Dedja K, Pliakos K, Kim J, Joo S, Cornillie F, Vens C, Van den Noortgate W, "Comparing the prediction performance of item response theory and machine learning methods on item responses for educational assessments", Behavior Research Methods, 2022.
Peelman2022	Milan Peelman, Antoon Bronselaer, Guy De Tré. Search-based Reinforcement Learning through Bandit Linear Optimization. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. Main Track. Pages 3380-3386.
Peng 2022a	Peng D, Liu Ch, Desmet W, Gryllias K, “Condition monitoring of wind turbines based on anomaly detection using deep support vector data description”, In Proceedings of ASME Turbo Expo 2022, Turbomachinery Technical Conference and Exposition (GT2022), 2022.
Peng 2022b	Peng D, Liu Ch, Mauricio Al, Desmet W, Gryllias K, “A transfer learning-based rolling bearing fault diagnosis across machines”, In Proceddings of the 14th Annual Conference of the Prognostics and Health Management Society, 2022.
Peng 2022c	Peng D, Liu C, Desmet W, Gryllias K, “Semi-supervised CNN-based SVDD anomaly detection for wind turbines”, in Proceedings of the ASME 2022, 4th International Offshore Wind Technical Conference (IOWTC2022), 2022
Perez2022	Perez Sanjines, Fabian Ramiro; Verstraeten, Timothy; Nowe, Ann; Helsen, Jan. Deep ensemble with Neural Networks to model power-curve uncertainty. Journal of Physics: Conference Series: 17th EERA DeepWind 2022 offshore wind R&I conference 19–21 January 2022, Trondheim, Norway. 2022.
Perez2022b	Perez Sanjines, Fabian Ramiro; Peeters, Cédric; Verstraeten, Timothy; Antoni, Jérôme; Nowe, Ann; Helsen, Jan. Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence. In: Mechanical Systems and Signal Processing, Vol. 185, 15.02.2023.
Perini2022	Perini L, Vercruyssen V, Davis J, “Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity”, In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022.
Phan 2022a	Phan H, Chen OY, Tran MC, Koch P, Mertins A, De Vos M, "XSleepNet : Multi-View Sequential Model for Automatic Sleep Staging", IEEE Transactions On Pattern Analysis And Machine Intelligence, vol. 14, pp. 5903-5915, 2022.
Pieters 2022	Pieters, O. ; De Swaef, T. ; Stock, M. ; wyffels, F. , "Leveraging plant physiological dynamics using physical reservoir computing", Sci Rep. 2022. 12 (1), 2022
Poncelet 2022	Poncelet J, Van hamme H, “Learning to jointly transcribe and subtitle for end-to-end spontaneous speech recognition”, In Proceedings of SLT 2022, 2022.
Popordanoska 2022a	Popordanoska T, Blaschko M B, “KU Leuven at LeQua 2022: Model Calibration in Quantification Learning”, In proceedings of the Conference and Labs of the Evaluation Forum (CLEF), 2022.
Popordanoska 2022b	T. Popordanoska, R. Sayer, M.B. Blaschko, “A consistent and differentiable Lp canonical calibration error estimator”, NeurIPS 2022, 2022.
Presenti 2022a	A. Presenti, Liang, Z., Alves Pereira, L. F., Sijbers, J., and De Beenhouwer, J., “Automatic anomaly detection from X-ray images based on autoencoder”, Nondestructive Testing and Evaluation, vol. 37, no. 5, 2022
Presenti 2022b	A. Presenti, Liang, Z., Alves Pereira, L. F., Sijbers, J., and De Beenhouwer, J., “CNN-based pose estimation from a single X-ray projection for 3D inspection of manufactured objects”, in 11th Conference on Industrial Computed Tomography, 2022
QI 2022	Qi J, Van hamme H, “Weak-Supervised Dysarthria-Invariant Features for Spoken Language Understanding using an FHVAE and Adversarial Training”, In Proceedings of SLT 2022, 2022.
Qin2022	X, Qin, T. H. Do, J. Hofman, E. Rodrigo Bonet, V. Panzica La Manna, N. Deligiannis, W. Philips, Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic density. Remote Sensing, 2022.
Qing2022a	Qing, J. ; Knudde, N. ; Garbuglia, F. ; Spina, D. ; Couckuyt, I. ; Dhaene, T. , "Adaptive sampling with automatic stopping for feasible region identification in engineering design", 2022, Eng. Comput. 2022.
Qing2022b	J. Qing, T. Dhaene, and I. Couckuyt. 2022. “Spectral Representation of Robustness Measures for Optimization under Input Uncertainty.”, In ICML2022, the 39th International Conference on Machine Learning, 1–26, 2022.
Qing2022c	Jixiang Qing, Henry B Moss, Tom Dhaene, and Ivo Couckuyt. "{P F }2es: Parallel feasible pareto frontier entropy search for multi-objective bayesian optimization under unknown constraints.", Journal of Global Optimization 2022, arXiv preprint
Qing2022d	Jixiang Qing, Ivo Couckuyt, and Tom Dhaene. A robust multi-objective bayesian optimization framework considering input uncertainty. arXiv preprint Journal of Global Optimization 2022 arXiv:2202.12848, 2022a.
Rabaey 2022	Rabaey, P. ; De Boom, C. ; Demeester, T. , "Neural Bayesian network understudy", presented at the NeurIPS2022, the 36th Conference on Neural Information Processing Systems, New Orleans, USA, 2022.
Radevski 2022	Radevski G, Grujicic D, Blaschko M, Moens M-F, Tuytelaar T,“Students taught by multimodal teachers are superior action recognizers”, in Proceedings of the 2nd International Ego4D Workshop, 2022.
Radulescu2022	Rădulescu, R., Verstraeten, T., Zhang, Y., Mannion, P., Roijers, D. M., & Nowé, A. (2022). Opponent learning awareness and modelling in multi-objective normal form games. Neural Computing and Applications, 34(3), 1759-1781.
Rajeswar 2022	Rajeswar, S. ; Mazzaglia, P. ; Verbelen, T. ; Piché, A. ; Dhoedt, B. ; Courville, A. ; Lacoste, A. , "Unsupervised Model-based Pre-training for Data-efficient Reinforcement Learning from Pixels", 2022, Decision Awareness in Reinforcement Learning Workshop at ICML 2022. 2022. p.1-16
Robberechts 2022	Robberechts P, Meert W, Davis J, “Elastic Product Quantization for Time Series”, In Proceedings of 25th International Conference on Discovery Science, 2022.
RodrigoBonet2022a	E. Rodrigo Bonet, T. H. Do, X, Qin, J. Hofman, V. Panzica La Manna, W. Philips, N. Deligiannis, “Explaining Graph Convolutional Neural Networks with Topology-Aware Node Selection: Application in Air Quality Inference”, IEEE Transactions on Signal and Information Processing Over Networks, vol. 8, pp. 499-513, 2022.
RodrigoBonet2022b	E. Rodrigo Bonet, T. H. Do, X, Qin, J. Hofman, V. Panzica La Manna, W. Philips, N. Deligiannis. Conditioned Variational Graph Autoencoder for Air Quality Forecasting. European Signal Processing Conference (EUSIPCO), 2022.
RojasGonzalez2022qind	Afsar, B., Fieldsend, J., Guerreiro, A., Miettinen, K., Rojas-Gonzalez, S., & Sato, H. (2022). Chapter 5: Many-objective Quality Measures. In R. Purshouse, D. Brockoff, B. Naujoks and M. Emmerich (Eds.), Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present Challenges, and Future Perspectives. Springer Natural Computing Series.
Romero 2022	Romero M, Nakano F K, Flinke J, Rocha C, Vens C, “Leveraging class hierarchy for detecting missing annotations on hierarchical multi-label classification”, Computers in Biology and Medicine”, vol. 152, Art.No. 106423, 2022.
Romero 2022	Romero, R. ; Kang, B. ; De Bie, T. , "Graph-survival: A survival analysis framework for machine learning on temporal networks", presented at the ECML-PKDD 2022 PhD Forum, Grenoble, France, 2022.
Ropke2022	Röpke, Willem; Radulescu, Roxana; Nowe, Ann; Roijers, Diederik M. Commitment and Cyclic Strategies in Multi-Objective Games. Paper presented at Adaptive and Learning Agents Workshop 2022.
Ropke2022b	Röpke, Willem; Roijers, Diederik M.; Nowe, Ann; Radulescu, Roxana. On Nash Equilibria in Normal-Form Games With Vectorial Payoffs. In: Autonomous Agents and Multi-Agent Systems, 2022.
Ropke2022c	Röpke, Willem; Roijers, Diederik M.; Nowe, Ann; Radulescu, Roxana. Preference Communication in Multi-Objective Normal-Form Games. In: Neural Computing & Applications, Vol. 2022, 20.07.2022.
Roy2022	Roy B, Stepisnik T, The Pooled Resource Open-Acces ALS Clinical Trials, Vens C, Dzeroski S, "Survival analysis with semi-supervised predictive clustering trees", Computers In Biology And Medicine, vol. 141, Art.No. 105001, 2022.
Rozo 2022	Rozo A, Moeyersons J, Morales J, Garcia van der Westen R, Lijnen L, Smeets C, Jantzen S, Monpellier V, Ruttens D, Van Hoof C, Van Huffel S, Groenendaal W, Varon C, "Data Augmentation and Transfer Learning for Data Quality Assessment in Respiratory Monitoring", Frontiers in Bioengineering and Biotechnology, vol. 10, pp. , 2022.
Safa 2022	Safa, A. ; Verbelen, T. ; Ocket, I. ; Bourdoux, A. ; Catthoor, F. ; Gielen, G. G. E. , "Fail-safe human detection for drones using a multi-modal curriculum learning approach", IEEE Robot. Autom. Lett. 2022. 7 (1) p.303-310, 2022
Sartori 2022a	Sartori C S, Smet P, Vanden Berghe G, "Scheduling truck drivers with interdependent routes under European Union regulations", European Journal of Operational Research, vol 298(1), pp. 76-88, 2022.
Sartori 2022b	Sartori C S, Smet P, Vanden Berghe G, "Truck driver scheduling with interdependent routes and working time constraints", EURO Journal on Transportation and Logistics, 2022.
Schelles 2022	Schelles M, Wouters J, Asamoah B, Mc Laughlin M, Bertrand A, "Objective evaluation of stimulation artefact removal techniques in the context of neural spike sorting", Journal of Neural Engineering, vol. 19/1, 2022.
Schouterden2022	Schouterden J, Bekker J, Davis J, Blockeel H, “Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias”, In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022.
Scott 2022a	Scott K, Delobelle P, Berendt B, “Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium”, Computational Linguistics in the Netherlands Journal, vol. 11, pp. 161-171, 2022
Scott 2022b	Scott K, Wang S M, Milagros M, Delobelle P, Sztandar-Sztanderska K, Berendt B, “Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective” In Proceedings of FAccT ’22, 2022.
Seabra2022	Seabra, S. G., Libin, P. J. K., Theys, K., Zhukova, A., Potter, B. I., Nebenzahl-Guimaraes, H., Gorbalenya, A. E., Sidorov, I. A., Pimentel, V., Pingarilho, M., de Vasconcelos, A. T. R., Dellicour, S., Khouri, R., Gascuel, O., Vandamme, A-M., Baele, G., Cuypers, L., & Abecasis, A. B. (2022). Genome-wide diversity of Zika virus: Exploring spatio-temporal dynamics to guide a new nomenclature proposal. Virus Evolution, 8(1), 1-15. [veac029]
Seeuws 2022	Seeuws N, De Vos M, Bertrand A, "Electrocardiogram Quality Assessment using Unsupervised Deep Learning", IEEE Transactions on Biomedical Engineering, vol. 69, no. 2, pp. 882-893, 2022.
Shi 2022a	Shi X, Nikolic G, Fischaber S, Black M, Rankin D, Epelde G, Beristain A, Alvarez R, Arrue M, Pita Costa J, Grobelnik M, Stopar L, Pajula J, Umer A, Poliwoda P, Wallace J, Carlin P, Paakkonen J, De Moor B, "System Architecture of a European Platform for Health Policy Decision Making: MIDAS", Frontiers in Public Health, vol. 10, pp. , 2022.
Shi 2022b	Shi X, Qu T, Van Pottelbergh G, van den Akker M, De Moor B, "A Resampling Method to Improve the Prognostic Model of End-Stage Kidney Disease: A Better Strategy for Imbalanced Data", Fronties in Medicine, vol. 9, 2022.
Simm 2022	Simm J, Arany A, De Brouwer E, Moreau Y, "Expressive Graph Informer Networks", in Proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science (LOD) / 1st Symposium on Artificial Intelligence and Neuroscience (ACAIN), pp. 198-212, 2022.
Simpson-Yap 2022	Simpson-Yap S, Pirmani A, Kalincik T, De Brouwer E, Geys L, Parciak T, Helme A, Rijke N, Hillert JA, Moreau Y, Edan G, Sharmin S, Spelman T, McBurney R, Schmidt H, Bergmann AB, Braune S, Stahmann A, Middleton RM, Salter A, Bebo B, van der Walt A, Butzkueven H, Ozakbas S, Boz C, Karabudak R, Alroughani R, Rojas J, van der Mei IA, do Olival GS, Magyari M, Alonso RN, Nicholas RS, Chertcoff AS, de Torres AZ, Arrambide G, Nag N, Descamps A, Costers L, Dobson R, Miller A, Rodrigues P, Prckovska V, Comi G, Peeters LM, "Updated Results of the COVID-19 in MS Global Data Sharing Initiative Anti-CD20 and Other Risk Factors Associated With COVID-19 Severity", NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION, vol. 9/6, pp. , 2022.
Simpson-Yap2022a	S. Simpson-Yap, A. Pirmani, E. De Brouwer, et al. "Severity of COVID19 infection amongst patients with multiple sclerosis treated with interferon-β, MS and Related Disorders, Vol 66, 104072, 2022.
Singh2022	Singh, Akash, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, and Steven Latré. 2022. “Deep Set Conditioned Latent Representations for Action Recognition”. In 17th International Joint Conference on Computer Vision, Imaging And, Computer Graphics Theory and Applications (VISIGRAPP) / 17th, International Conference on Computer Vision Theory and Applications, (VISAPP), 2022.
Sizyakin 2022a	Sizyakin, R. ; Voronin, V. ; Pizurica, A. , "Virtual restoration of paintings based on deep learning", 2022, Fourteenth International Conference on Machine Vision (ICMV 2021). 2022. SPIE. 12084
Sizyakin 2022b	Sizyakin, R. ; Voronin, V. ; Zelensky, A. ; Pizurica, A. , "Virtual restoration of paintings using adaptive adversarial neural network", 2022, J. Electron. Imaging. 2022.
Steassens2022	T. Staessens, T. Lefebvre, and G. Crevecoeur. "Adaptive control of a mechatronic system using constrained residual reinforcement learning." IEEE Transactions on Industrial Electronics, vol. 69, no. 10, pp. 10447-10456, 2022.
Steels2022a	Steels, L., Verheyen, L., van Trijp, R. An experiment in measuring understanding. In Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, pp 241-242. 2022.
Steels2022b	Steels, L., Verheyen, L. Quantifying the contribution of different knowledge source in narrative-based understanding. Accepted at BNAIC/BENELEARN 2022.
Tang 2022a	M. Tang, R. Perez-Fernandez and B. De Baets, Ordinal classification with a spectrum of information sources, Expert Systems with Applications 208 (2022), 118163.
Tang 2022b	M. Tang, R. Perez-Fernandez and B. De Baets, A comparative study of machine learning methods for ordinal classification with absolute and relative information, Internat. J. Knowledge-Based Systems 230 (2021), 107358.
Temsamani2022	Abdellatif Bey Temsamani, Anil Kumar Chavali, Ward Vervoort, Tinne Tuytelaars, Gorjan Radevski, Hugo Van hamme, Kevin Mets, Matthias Hutsebaut-Buysse, Tom De Schepper, and Steven Latré. "A multimodal AI approach for intuitively instructable autonomous systems: a case study of an autonomous off-highway vehicle" The Eighteenth International Conference on Autonomic and Autonomous Systems (ICAS), 2022.
Terrucha 2022	Terrucha, I. ; Dmingos, E. F. ; Santos, F. C. ; Simoens, P. ; Lenaerts, T. , "The art of compensation : how hybrid teams solve collective risk dilemmas", ALA 2020 : workshop at AAMAS 2022. 2022., 2022
Theodorakos 2022a	Theodorakos K, Agudelo O M, Espinoza M, De Moor B, "Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity demand forecasting", IEEE Open Access Journal of Power and Energy, vol. 9, pp. 241-253, 2022.
Tilborghs 2022a	Tilborghs S, Bogaert J, Maes F, "Shape-constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI", Medical Image Analysis, vol. 81, 2022.
Tilborghs 2022b	Tilborghs S, Bertels J, Robben D, Vandermeulen D, Maes F, "The Dice loss in the context of missing or empty labels: introducing psi and epsilon", in Lecture Notes in Computer Science, Proceedings of MICCAI 2022, 2022.
Tiulpin 2022	Tiulpin A, Blaschko M B, "Greedy Bayesian Posterior Approximation with Deep Ensembles", Transactions on Machine Learning Research, 2022.
Tokpo 2022	Ewoenam Kwaku Tokpo and Toon Calders. 2022. Text Style Transfer for Bias Mitigation using Masked Language Modeling. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, pages 163–171, Hybrid: Seattle, Washington + Online. Association for Computational Linguistics.
Torneri2022	Torneri, A., Willem, L., Colizza, V., Kremer, C., Meuris, C., Darcis, G., Hens, N., & Libin, P. J. K. (2022). Controlling SARS- CoV-2 in schools using repetitive testing strategies. eLife, 11, [e75593].
Ueyoshi 2022	Ueyoshi K, Papistas I A, Houshmand P, Sarda G M, Jain V, Shi M, Zheng Q, Giraldo S, Vranckx P, Doevenspeck J, Bhattacharjee D, Cosemans S, Mallik, A, Debacker P, Verkest D, Verhelst M, “DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC”, In Proceedings of the 2022 IEEE International Conference on Solid-State Circuits (ISSCC), vol. 65, 2022. doi: 10.1109/ISSCC42614.2022.9731716
Valkiers 2022	Valkiers S, de Vrij N, Gielis S, Verbandt S, Ogunjimi B, Laukens K, Meysman P. Recent advances in T-cell receptor repertoire analysis: bridging the gap with multimodal single-cell RNA sequencing. ImmunoInformatics. 2022 Jan 25:100009.
Vamplew2022	Vamplew, Peter; Smith, Benjamin J.; Källström, Johan; De Oliveira Ramos, Gabriel; Radulescu, Roxana; Roijers, Diederik M.; Hayes, Conor F.; Heintz, Fredrik; Mannion, Patrick; Libin, Pieter; Dazeley, Richard; Foale, Cameron. Scalar reward is not enough : A response to Silver, Singh, Precup and Sutton (2021). In: Autonomous Agents and Multi-Agent Systems, Vol. 36, 41, 16.07.2022, p. 1-19.
Van Daele 2022	Van Daele, D. ; Weytjens, B. ; De Raedt, L. ; Marchal, K. , "OMEN : network-based driver gene identification using mutual exclusivity", Bioinformatics. 2022
Van de Maele 2022	Van de Maele, T. ; Ferraro, S. ; Verbelen, T. ; Dhoedt, B. , "Enforcing object permanence using hierarchical, object-centric generative models", presented at the NeurIPS2022, the 36th Conference on Neural Information Processing Systems, New Orleans, USA, 2022.
Van de Maele 2022	Van de Maele, T. ; Verbelen, T. ; Catal, O. ; Dhoedt, B. , "Embodied object representation learning and recognition", Front. Neurorobotics. 2022. 16, 2022
Van Hauwermeiren2022	Van Hauwermeiren W, Hou Y, Filipan K, Botteldooren D. Sensor characterization for supporting de-noising and auto-calibration of sensor data. In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE; 2022
VanBaelen 2022	Van Baelen Q, Karsmakers P, "Constraint Guided Gradient Descent: Guided Training with Inequality Constraints". In Proceedings of the 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2022
Vanbesien 2022	Vanbesien L, Bruynooghe M, Denecker M, “Analyzing Semantics of Aggregate Answer Set Programming Using Approximation Fixpoint Theory”, Theory and practice of Logic programing, 2022.
Vandaele 2022a	Vandaele, R., Kang, B., De Bie, T., & Saeys, Y. (2022). The curse revisited : when are distances informative for the ground truth in noisy high-dimensional data? In G. Camps-Valls (Ed.), International Conference on Artificial Intelligence and Statistics, vol 151
Vandaele 2022b	R. Vandaele, B. Kang, J. Lijffijt, T. De Bie, Y. Saeys: Topologically Regularized Data Embeddings. ICLR 2022
Vandecappelle 2022a	Vandecappelle M, De Lathauwer L, "From multilinear SVD to multilinear UTV decomposition", Signal Processing, vol. 198, 2022.
Vandecappelle 2022b	Vandecappelle M, De Lathauwer L, "Updating the multilinear UTV decomposition", IEEE Transactions on Signal Processing, vol. 70, pp. 3551-3565, 2022.
Vandenberghe 2022	Vandenberghe A, Wamba Momo L, Scheltjens V, De Moor B, "Multimodal Deep Learning for Early Length of Stay Prediction using Patient Similarity Embeddings", in Proceedings of the BNAIC/BeNeLearn 2022, 2022.
Vander Mijnsbrugge2022	D. Vander Mijnsbrugge, F. Ongenae, S. Van Hoecke, Context-Aware Deep Learning with Dynamically Assembled Weight Matrices. Vander Mijnsbrugge, David and Ongenae, Femke and Van Hoecke, Sofie, Context-Aware Deep Learning with Dynamically Assembled Weight Matrices. Available at SSRN: https://ssrn.com/abstract=4182104 or http://dx.doi.org/10.2139/ssrn.4182104
VanderAa2022	Tom Vander Aa, Tom Haber, Thomas J. Ashby, Roel Wuyts, Wilfried Verachtert, “Virtual Screening on FPGA: Performance and Energy versus Effort” accepted for publication in Eighth International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'22)
Vandeurzen2022	B. van Deurzen, H. Bruyninckx, & K. Luyten, Choreobot: A reference framework and online visual dashboard for supporting the design of intelligible robotic systems,Proc. ACM Hum. Comput. Interact. 6, 151:1–151:24. (was already reported before)
Vandevelde 2022a	Vandevelde S, Callewaert B, Vennekens J, "Context-Aware Verification of DMN", HICSS, online
Vandevelde 2022b	Vandevelde S, Jordens J, Van Doninck B, Witters M, Vennekens J, “Knowledge-Based Support for Adhesive Selection”, In proceedings of the International Conference on Logic Programming and Nonmonotonic Reasoning, 2022. (https://link.springer.com/chapter/10.1007/978-3-031-15707-3_34#citeas)
Vandevelde 2022c	Vandevelde S, Callewaert B, Vennekens J, “ Interactive Feature Modeling with Background Knowledge for Validation and Configuration”, In Proceedings of the International Workshop on Configuration, 2022
Vandewinckele 2022	Vandewinckele L, Willems S, Lambrecht M, Berkovic P, Maes F, Crijns W, "Treatment plan prediction for lung IMRT using deep learning based fluence map generation", Physica Medica, vol. 99, pp. 44-54, 2022.
VanHauwermeiren2022a	Van Hauwermeiren, W., Filipan, K., Botteldooren, D., & De Coensel, B. (2022). "A scalable, self supervised calibration and confounder removal model for opportunistic monitoring of road degradation". Computer-Aided Civil and Infrastructure Engineering.
VanHauwermeiren2022b	van Hauwermeiren, W., Hou, Y., Filipan, K., & Botteldooren, D. (2022, July). Sensor characterization for supporting de-noising and auto-calibration of sensor data. In 2022 International Joint Conference on Neural Networks (IJCNN). IEEE.
VanHoutte2022	Van Houtte, Jeroen, Emmanuel Audenaert, Guoyan Zheng, and Jan Sijbers. “Deep Learning-based 2D/3D Registration of an Atlas to Biplanar X-ray Images”. International Journal of Computer Assisted Radiology and Surgery 17 (7): 1333–42, 2022.
VanHuffel 2022a	K. Van Huffel, M. Stock and B. De Baets, BioCCP.jl: Collecting Coupons in combinatorial biotechnology, Bioinformatics 38 (2022), 1144-1145.
VanHuffel 2022b	K. Van Huffel, M. Stock, T. Ruttink and B. De Baets, Covering the combinatorial design space of multiplex CRISPR/Cas experiments in plants, Frontiers in Plant Science 13 (2022), 907095.
Vaulet 2022a	Vaulet T, Al-Memar M, Fourie H, Bobdiwala S, Saso S, Pipi M, Stalder C, Bennett P, Timmerman D, Bourne T, De Moor B, "Gradient boosted trees with individual explanations : an alternative to logistic regression for viability prediction in the first trimester of pregnancy", Computer Methods And Programs In Biomedicine, vol. 213, 2022.
Vaulet 2022b	Vaulet T, Divard G, Thaunat O, Koshy P, Lerut E, Senev A, Aubert O, Van Loon E, Callemeyn J, Emonds M-P, Van Craenenbroeck A, De Vusser K, Sprangers B, Rabeyrin M, Dubois V, Kuypers D, De Vos M, Loupy A, De Moor B, Naesens M, "Data-Driven Chronic Allograft Phenotypes: A Novel and Validated Complement for Histologic Assessment of Kidney Transplant Biopsies", JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, vol. , pp. , 2022.
Venturini 2022a	Venturini M, Nakano F K, Vens C, "PT-MESS: a Problem-Transformation approach for Multi-Event Survival analysis", In Proceedings of the Workshop on Scarce Data in Artificial Intelligence for Healthcare at IJCAI/ECAI, 2022.
Venturini 2022b	Venturini M, Van Keilegom I, De Corte W, Vens C, "A Novel Survival Analysis Approach to Predict the Need for Intubation in Intensive Care Units" In proceedings of Artificial Intelligence In Medicine, vol. 13263, 2022.
Verbelen 2022	Verbelen, T. ; de Tinguy, D. ; Mazzaglia, P. ; Catal, O. ; Safron, A. , "Chunking space and time with information geometry",presented at the NeurIPS2022, the 36th Conference on Neural Information Processing Systems, New Orleans, USA, 2022.
Vercruyssen 2022	Vercruyssen V, Perini L, Meert W, Davis J, “Multi-domain Active Learning for Semi-supervised Anomaly Detection”, In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.
Verheyen2022a	Verheyen, L., Botoko Ekila, J., Nevens, J., Van Eecke, P. & Beuls, K. Hybrid Procedural Semantics for Visual Dialogue: An Interactive Web Demonstration. In Proceedings of the First Workshop on Semantic Techniques for Narrative-based Understanding. 2022.
Verheyen2022b	Verheyen, L., Botoko Ekila, J., Nevens, J., Van Eecke, P. & Beuls, K. Hybrid Procedural Semantics for Visual Dialogue. Accepted CLIN32 (computational linguistics in the Netherlands), 2022.
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Chakroun2021a	Chakroun, I.; Vander Aa, Tom; Wuyts, Roel; Verachtert, Wilfried, "Distributing intelligence for object detection using edge computing", in IEEE CLOUDS, 2021
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Deschepper 2021a	Deschepper, M. ; Labeau, S. ; Waegeman, W. ; Blot, S. , "Heterogeneity hampers the identification of general pressure injury risk factors in intensive care populations : a predictive modelling analysis", Intensive Crit. Care Nurs. 2021., 2021
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Dhont 2021a	M.Dhont, E.Tsiporkova, V.Boeva. Advanced Discretisation and Visualisation Methods for Performance Profiling of Wind Turbines. Energies, special issue: Wind Turbine Monitoring through Operation Data Analysis, 2021. Accepted.
Dhont 2021b	M.Dhont, E.Tsiporkova, V.Boeva. Performance Profiling of Operating Modes via Multi-View Analysis Using Non-Negative Matrix Factorisation. Springer-Verlag, Recent Advancements in Multi-View Data Analytics
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Dimitrievski 2021	Dimitrievski, M. ; Shopovska, I. ; Van Hamme, D. ; Veelaert, P. ; Philips, W. , "Automatic labeling of vulnerable road users in multi-sensor data", 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). 2021. IEEE. p.2623-2630, 2021
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Eyckerman2021	Eyckerman, Reinout, Philippe Reiter, Siegfried Mercelis, Steven Latré, Johann Marquez-Barja, and Peter Hellinckx. "A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop." In 2021 International Conference on Information and Communication Technology Convergence (ICTC), pp. 779-784. IEEE, 2021.
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Geirnaert 2021a	Geirnaert S, Francart T, Bertrand A, "Unsupervised Self-Adaptive Auditory Attention Decoding", Accepted for publication in IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 10, 2021.
Geirnaert 2021b	Geirnaert S, Vandecappelle S, Alickovic E, de Cheveigne A, Lalor E, Meyer BT, Miran S, Francart T, Bertrand A, "Reinforcement Learning in Reproducing Kernel Hilbert Spaces: Enabling Continuous Brain?Machine Interface Adaptation", IEEE Signal Processing Magazine, vol. 38/4, pp. 89-102, 2021.
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Geirnaert 2021d	Geirnaert S, Francart T, Bertrand A, "Fast EEG-based decoding of the directional focus of auditory attention using common spatial patterns", IEEE Transactions On Biomedical Engineering, vol. 68/5, pp. 1557-1568, 2021.
Geirnaert 2021e	Geirnaert S, Francart T, Bertrand A, "Riemannian geometry-based decoding of the directional focus of auditory attention using EEG", Accepted for publication in the 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1115-1119, 2021.
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Gharahighehi 2021b	Gharahighehi, A., Vens, C. , "Diversification in Session-based News Recommender Systems.", Personal and Ubiquitous Computing , pp. 1-11, 2021
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Giraldo 2021a	Giraldo, JSP, Verhelst M, “Hardware Acceleration for Embedded Keyword Spotting: Tutorial and Survey”, ACM Transactions on Embedded Computing Systems (TECS), vol. 20, no. 6, pp. 1-25, 2021.
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Guo 2021a	Guo, Z. ; Xiao, Y. ; Liao, W. ; Veelaert, P. ; Philips, W. , "FLOPs-efficient filter pruning via transfer scale for neural network acceleration", J. Comput. Sci. 2021. 55, 2021
Guo 2021b	Guo, Z. ; Liao, W. ; Xiao, Y. ; Veelaert, P. ; Philips, W. , "Weak segmentation supervised deep neural networks for pedestrian detection", Pattern Recognit. 2021. 119, 2021
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Hanssens 2021a	Hanssens, D. ; Van De Vijver, E. ; Waegeman, W. ; Everett, M. E. ; Moffat, I. ; Sarris, A. ; De Smedt, P. , "Ambient temperature and relative humidity-based drift correction in frequency domain electromagnetics using machine learning", Near Surf. Geophys. 2021. 19 (5) p.541-556, 2021
Hanssens 2021b	Hanssens, D. ; Waegeman, W. ; Declercq, Y. ; Dierckx, H. ; Verschelde, H. ; De Smedt, P. , "High-resolution surveying with small-loop requency-domain electromagnetic systems : efficient survey design and adaptive processing", IEEE Geosci. Remote Sens. Mag. 2021. 9 (1) p.167-183, 2021
Hautecoeur 2021	Hautecoeur C, Glineur F, De Lathauwer L, "Hierarchical Alternating Nonlinear Least Squares for Non-negative Matrix Factorization Using Rational Functions", Accepted for publication in the 29th European Signal Processing Conference (EUSIPCO), 2021.
Haxhibeqiri 2021a	Haxhibeqiri, J. ; Bhat, R. V. ; Moerman, I. ; Hoebeke, J. , "Age-of-information aware in-band network telemetry for better network predictability", 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). 2021. IEEE. p.42-47, 2021
Haxhibeqiri 2021b	Haxhibeqiri, J. ; Jiao, X. ; Municio, E. ; Marquez-Barja, J. M. ; Moerman, I. ; Hoebeke, J. , "Bringing time-sensitive networking to wireless professional private networks filling gaps and bridging the innovation", Wirel. Pers. Commun. 2021., 2021
Haxhibeqiri 2021c	Haxhibeqiri, J. ; Jiao, X. ; Aslam, M. ; Moerman, I. ; Hoebeke, J. , "Enabling TSN over IEEE 802.11 : low-overhead time synchronization for Wi-Fi clients", 2021 22ND IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT). 2021. IEEE. p.1068-1073, 2021
Haxhibeqiri 2021d	Haxhibeqiri, J. ; Isolani, P. H. ; Marquez-Barja, J. M. ; Moerman, I. ; Hoebeke, J. , "In-band network monitoring technique to support SDN-based wireless networks", IEEE Trans. Netw. Serv. Manag. 2021. 18 (1) p.627-641, 2021
Haxhibeqiri 2021e	Haxhibeqiri, J. ; Seferagic, A. ; Bhat, R. V. ; Moerman, I. ; Hoebeke, J. , "Tighter application-network interfacing to drive innovation in networked systems", Proceedings of the ACM SIGCOMM 2021 Workshop on Network-Application Integration, 2021
Hayes2021	Hayes, C. F., Reymond, M., Roijers, D. M., Howley, E., & Mannion, P. (2021). Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning. In The 20th International Conference on Autonomous Agents and Multiagent Systems.
Hemeling 2021b	Hemelings R, Elen B, Blaschko M B, Jacob J, Stalmans I, De Boever P, "Pathological myopia classification with simultaneous lesion segmentation using deep learning", Computer Methods and Programs in Biomedicine, 2021.
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Hendrikx 2021	Hendrikx D, Costerus S, Ijsselmuiden J, Zahn K, Perez-Ortiz A, Van Huffel S, flint R, Caicedo A, Wijnen R, Wessel L, de Graaff J, Tibboel D, Naulaers G, "Cerebral oxygenation and activity during surgical repair of neonates with congenital diaphragmatic hernia: a comparative analysis", Frontiers in Pediatrics, 2021.
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Heyse 2021	Heyse, J. ; Schattenberg, F. ; Rubbens, P. ; Müller, S. ; Waegeman, W. ; Boon, N. ; Props, R. , "Predicting the presence and abundance of bacterial taxa in environmental communities through flow cytometric fingerprinting", mSystems. 2021. 6 (5), 2021
Hofman 2021	Hofman, J. ; Do, T. H. ; Qin, X. ; Rodrigo, E. ; Nikolaou, M. E. ; Philips, W. ; Deligiannis, N. ; Panzica La Manna, V. , "Spatiotemporal air quality inference of low-cost sensor data : application on a cycling monitoring network", Pattern recognition, ICPR international workshops and challenges, Proceedings, Part VI. 2021. Springer. 12666 p.139-147, 2021
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Huang 2021a	S. Huang, H. Zhang, A. Pizurica, "A Structural Subspace Clustering Approach for Hyperspectral Band Selection", IEEE Transactions on Geoscience and Remote Sensing, 2021 (Early access: DOI: 10.1109/TGRS.)
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HutsebautBuysse2021	Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets, and Steven Latré, Disagreement Options: Task Adaptation Through Temporally Extended Actions, ECML-PKDD, 2021.
Huybrechts2021	Huybrechts, Thomas; Reiter, Philippe; Mercelis, Siegfired; Farmaey, Jeroen; Latré, Steven, Hellinckx, Peter, "Automated Testbench for Hybrid Machine Learning-Based Worst-Case Energy Consumption Analysis on Batteryless IoT Devices", in MDPI Energies 14, no 13(2021): 3914, 2021
Huysmans 2021a	Huysmans D, Borzee P, Buyse B, Testelmans D, Van Huffel S, Varon C, "Sleep Diagnostics for Home Monitoring of Sleep Apnea Patients", Frontiers in Digital Health, vol. 3, pp. 1-13, 2021.
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Irfan2021	Irfan, B. ; Ortiz, M. G. ; Lyubova, N. ; Belpaeme, T. , "Multi-modal open world user identification", ACM trans. hum. robot interact. 2022. 11 (1), 2022
Jain 2021	A. Jain, C. Gautrais, A. Kimmig, L. De Raedt: "Learning CNF Theories using MDL and Predicate Invention", IJCAI 2021.
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Jeunen2021a	Pessimistic Reward Models for Off-Policy Learning in Recommendation. 2021. Olivier Jeunen and Bart Goethals. ACM RecSys ’21.
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Kang 2021	B. Kang, J. Lijffijt, and T. De Bie, "Explanations for Network Embedding-based Link Predictions", In Proceedings of the 3rd ECML-PKDD Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD), 2021.
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Kumar 2021a	M. Kumar, S. Kolb, C. Gautrais, L. De Raedt: "Democratizing Constraint Satisfaction Problems through Machine Learning", Demo@AAAI 2021.
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Laengle 2021	Laengle, S. ; Lobos, V. ; Merigo, J. M. ; Herrera-Viedma, E. ; Cobo, M. J. ; De Baets, B. , "Forty years of fuzzy sets and systems : a bibliometric analysis", Fuzzy Sets Syst. 2021. 402 p.155-183, 2021
Lavanga 2021a	Lavanga M, Bollen B, Caicedo A, Dereymaeker A, Jansen K, Ortibus E, Van Huffel S, Naulaers G, "The effect of early procedural pain in preterm infants on the maturation of electroencephalogram and heart rate variability", PAIN, vol. 162/5, pp. 1556-1566, 2021.
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Liu & Gryllias 2021a	Liu C, Gryllias K, “Simulation-driven Domain Adaptation for Rolling Element Bearing Fault Diagnosis”, IEEE Transactions on Industrial Informatics, 2021
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Ropke2021	Röpke, W., Radulescu, R., Roijers, D. M., & Nowe, A. (2021). Communication Strategies in Multi-Objective Normal-Form Games. Paper presented at Adaptive and Learning Agents Workshop 2021.
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Seifi 2021	S. Seifi, A. Jha, and T. Tuytelaars, Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration, IEEE International Conference on Computer Vision, 2021.
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Medico 2020	Medico, Roberto ; De Baets, Leen ; Gao, Jingkun ; Giri, Suman ; Kara, Emre ; Dhaene, Tom ; Develder, Chris ; Berges, Mario ; Deschrijver, Dirk, “A voltage and current measurement dataset for plug load appliance identification in households”, SCIENTIFIC DATA, Vol. and Number 7-1.
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Tang 2020	Tang, Mengzi; Perez-Fernandez, Raoul; De Baets, Benard, “Combining absolute and relative information with frequency distributions for ordinal classification”, IPMU 2020, pp. 594-602.
Tefera 2020	Tefera Y, Meire M, Luca S, Karsmakers P, "Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring using Acoustic and Vibration Signals: A Comparison Based On a Toy Data Set From a Coffee Vending Machine", accepted for publication in proceedings of IoT Stream for Data Driven Predictive Maintenance Workshop at ECMLPKDD, 2020.
Tilborghs 2020a	Tilborghs S, Dresselaers T, Claus P, Bogaert J, Maes F,”3D left ventricular segmentation from 2D cardiac MR images using spatial context”, In Lecture Notes in Computer Science, vol. 12009, pp. 90-99, 2020
Tilborghs 2020b	Tilborghs S, Maes F, “Left ventricular parameter regression from deep feature maps of a jointly trained segmentation CNN”, In Lecture Notes in Computer Science, vol. 12009, pp. 395-404, 2020
Tilborghs 2020c	Tilborghs S, Dresselaers T, Claus P, Bogaert J, Maes F, “Shape constrained CNN for cardiac MR segmentation with simultaneous prediction of shape and pose parameters”, accepted for publication in STACOM'20, held in conjunction with MICCAI 2020.
Tilborghs 2020d	Tilborghs S, Dirks I, Fidon L, Willems S, Eelbode T, Bertels J, Ilsen B, Brys A, Dubbeldam A, Buls A, Gonidakis P, Sánchez S, Snoeckx A, Parizel P, De Mey J, Vandermeulen D, Vercauteren T, Robben D, Smeets D, Maes F, Vandemeulebroucke J, Suetens P, “Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients”, arXiv:2007.15546, 2020.
Todorov 2020	Todorov, Helena ; Cannoodt, Robrecht ; Saelens, Wouter ; Saeys, Yvan, “TinGa: fast and flexible trajectory inference with Growing Neural Gas”, 28th Annual Conference on Intelligent Systems for Molecular Biology (ISMB), Vol. 36, pp. 66-74.
Torneri2020	Torneri, A., Libin, P., Vanderlocht, J. et al. A prospect on the use of antiviral drugs to control local outbreaks of COVID-19. BMC Med 18, 191 (2020). https://doi.org/10.1186/s12916-020-01636-4
Uyttenhove 2020	Uyttenhove, Thomas; Maes, Aren; Van Steenkiste, Tom; Deschrijver, Dirk; Dhaene, Tom, “Interpretable epilepsy detection in routine, interictal EEG data using deep learning”, Proceedings of the Machine Learning for Health NeurIPS Workshop, pp. 355-366.
Van de Maele2020	Van de Maele, Toon ; Verbelen, Tim ; Catal, Ozan ; De Boom, Cedric ; Dhoedt, Bart, “You only look as much as you have to: Using the free energy principle for active vision”, IWAI2020, International Workshop on Active Inference, pp. 1-10.
Van Eyndhoven 2020	Van Eyndhoven S, Dupont P, Tousseyn S, Vervliet N, Van Paesschen W, Van Huffel S, Hunyadi B, "Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data.", Neuroimage, vol. 228, 2020.
Van houtven 2020	Van Houtven J., Boonen K., Baggerman G., Askenazi M., Laukens K., Hooyberghs J., Valkenborg D. “PRiSM: A prototype for exhaustive, restriction-free database searching for mass spectrometry-based identification.” Rapid Communications in Mass Spectrometry (2020)
Van Soom2020	Van Soom, M. & de Boer, B., Detrending the Waveforms of Steady-State Vowels, Entropy, 2020.
Van Steenkiste 2020a	Van Steenkiste, Tom; Deschrijver, Dirk; Dhaene, Tom, “Sensor fusion using backward shortcut connections for sleep apnea detection in multi-modal data”, Proceedings of the Machine Learning for Health NeurIPS Workshop, pp. 112-125.
Van Steenkiste 2020b	Van Steenkiste, Tom ; Groenendaal, Willemijn ; Dreesen, Pauline ; Lee, Seulki ; Klerkx, Susie ; de Francisco, Ruben ; Deschrijver, Dirk ; Dhaene, Tom, “Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning”, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol. and Number 24-9, pp. 2589-2598.
Van Wolputte 2020	Van Wolputte E, Blockeel H, "Missing value imputation with MERCS: a faster alternative to MissForest", in Proceedings of the 23rd International Conference on Discovery Science (DS2020), pp. 502-516, 2020.
Vandaele 2020	Vandaele, Robin ; Saeys, Yvan ; De Bie, Tijl, “Mining topological structure in graphs through forest representations”, JOURNAL OF MACHINE LEARNING RESEARCH, Vol. and Number 21.
Vande Veire 2021a	Len Vande Veire, Cedric De Boom and Tijl De Bie, "Adapted NMFD update procedure for removing double hits in drum mixture decompositions" (2020), MML2020, 13th International Workshop on Machine Learning and Music at ECML PKDD 2020, Proceedings. p.10-14
Vandecappelle 2020a	Vandecappelle M, De Lathauwer L, "Low Multilinear Rank Updating", in Proceedings of the Asilomar Conference on Signals Systems and Computers, pp. 437-441, 2020.
Vandecappelle 2020b	Vandecappelle M, Vervliet N, De Lathauwer L, "A second-order method for fitting the canonical polyadic decomposition with non-least-squares cost", IEEE Transactions on Signal Processing, vol. 68, pp. 4454-4465, 2020.
Vandecappelle 2020c	Vandecappelle M, Vervliet N, De Lathauwer L, "Inexact generalized Gauss–Newton for scaling the canonical polyadic decomposition with non-least-squares cost functions", Accepted for publication in IEEE Journal of Selected Topics In Signal Processing, 2020.
Vandecasteele 2020	Vandecasteele K, De Cooman T, Dan J, Cleeren E, Van Huffel S, Hunyadi B, Van Paesschen W, "Visual seizure annotation and automated seizure detection using behind-the-ear electroencephalographic channels", EPILEPSIA, vol. 61/4, pp. 766-775, 2020.
Vandenhende 2020a	Vandenhende S, Georgoulis S, De Brabandere b, Van Gool L, “Branched Multi-Task Network: Deciding What Layers To Share”, BMVC2020, 2020
Vandenhende 2020b	Vandenhende S, Georgoulis S, Van Gool L, “MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning”, ECCV 2020, 2020
Vandevelde 2020	Vandevelde S, Vennekens J, “A Multifunctional, Interactive DMN Decision Modelling Tool”, BNAIC 2020, 2020.
VanGansbeke 2020	Van Gansbeke W, Vandenhende S, Georgoulis S, Proesmans M, Van Gool L, “SCAN: Learning To Classify Images Without Labels”, ECCV 2020, 2020
VanLaere 2020	David Van Laere, Marisse Meeus, Charlie Beirnaert, Victor Sonck, Kris Laukens, Ludo Mahieu, Antonius Mulder. Machine Learning to Support Hemodynamic Intervention in the Neonatal Intensive Care Unit. Clinics in Perinatology (2020) Volume 47, Issue 3, Pages 435-448.
Verbruggen 2020	Verbruggen, De Raedt L, Gulwani, "FlashBack: Programming by Example with Semantic Background Knowledge", 2020 (submitted)
Vercruyssen 2020a	Vercruyssen V, Meert W, Davis J, "Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection", in Proceedings of the 34th AAAI Conference on Artificial Intelligence, pp. 6054-6061, 2020.
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Verstraeten2020a	Verstraeten, T., Libin, P., & Nowe, A. Fleet Control using Coregionalized Gaussian Process Policy Iteration. In the 24th European Conference on Artificial Intelligence (ECAI 2020).
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Vervliet 2020	Vervliet N, Themelis A, Patrinos P, De Lathauwer L, "A quadratically convergent proximal algorithm for nonnegative tensor decomposition", in Proceedings of the 28th European Signal Processing Conference (EUSIPCO 2020), 2020.
Vuegen 2020	Vuegen L, Karsmakers P, "On-edge adaptive acoustic models: an application to acoustic person presence detection", in Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2020.
Wauthier2020	Wauthier, Samuel ; Catal, Ozan ; De Boom, Cedric ; Verbelen, Tim ; Dhoedt, Bart, “Sleep: Model reduction in deep active inference”, IWAI2020, International Workshop on Active Inference, Proceedings.
Winters 2020	Winters, T., Delobelle, P. (2020). Dutch Humor Detection by Generating Negative Examples. In: Proceedings of the 32st Benelux Conference on Artificial Intelligence (BNAIC 2020) and the 29th Belgian Dutch Conference on Machine Learning (Benelearn 2020), (313-323). Presented at the BNAIC/BeneLearn 2020, Leiden, 19 Nov 2020-20 Nov 2020. Leiden. Open Access
Wouters 2020	Wouters J, Kloosterman F, Bertrand A, "SHYBRID: A graphical tool for generating hybrid ground-truth spiking data for evaluating spike sorting performance", Neuroinformatics, 2020.
Yang2020a	Y Yang, P. Xiao, B. Liao, N. Deligiannis, “A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements,” European Signal Processing Conference (EUSIPCO), 2020.
Yperman 2020a	J. Yperman, T. Becker, D. Valkenborg, V. Popescu, N. Hellings, B. Van Wijmeersch, L. M. Peeters, “Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis”, BMC Neurology (2020)
Yperman 2020b	J. Yperman, T. Becker, D. Valkenborg, N. Hellings, M. Cambron, D. Dive, G. Laureys, V. Popescu, B. Van Wijmeersch, L. M. Peeters, “Deciphering the morphology of motor evoked potentials”, Frontiers in Neuroinformatics (2020)
Yurtman 2020	A. Yurtman, B. Barshan, S. Redif, "Position Invariance for Wearables: Interchangeability and Single-Unit Usage via Machine Learning:". IEEE Internet of Things Journal, 8(10), 8328-8342, 2020
Žižakić 2020a	Žižakić, Nina; Pizurica, Aleksandra, “Learned BRIEF – transferring the knowledge from hand-crafted to learning-based descriptors”, 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP).
Žižakić 2020b	Žižakić, Nina; Pizurica, Aleksandra, “Invertible local image descriptors learned with variational autoencoders”, IEICE Information and Communication Technology Forum (ICTF) 2020, Proceedings.

Galindez Olascoaga 2019	L. I. Galindez Olascoaga , W. Meert , N. Shah, M. Verhelst, G. Van den Broeck, "Towards Hardware-Aware Tractable Learning of Probabilistic Models", In. Proceedings of the Neural Information Processing Systems Conference (NeurIPS) 2019
Mara 2019	A.C. Mara, J. Lijffijt and T. De Bie, "EvalNE : a framework for Evaluating Network Embeddings on link prediction", Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SDM 2019. In CEUR workshop proceedings 2436. p.5-13, 2019.
Sarafijanovic-Djukic 2019	N Sarafijanovic-Djukic, J. Davis, "Fast Distance-Based Anomaly Detection in Images Using an Inception-Like Autoencoder", In Proceedings of the 22nd International Conference on Discovery Science, 2019
Schouterden 2019	J. Schouterden, J. Davis, H. Blockeel, "LazyBum: Decision tree learning using lazy propositionalization", International Conference on Inductive Logic Programming (ILP 2019), 2019
Winant2019	D Winant, J Schreurs, JAK Suykens, Latent space exploration using generative kernel PCA, Artificial Intelligence and Machine Learning, 70-82, 2019

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