| 2026 | AAAI | InTimeAD: Interactive Time Series Anomaly Detection. | Louis Carpentier, Wannes Meert, Mathias Verbeke |
| 2025 | ECAI | Neurosymbolic OCR for Handwritten Tax Forms. | Quinten Dewulf, Robin Manhaeve, Wannes Meert, Luc De Raedt |
| 2025 | ICML | Compressing tree ensembles through Level-wise Optimization and Pruning. | Laurens Devos, Timo Martens, Deniz Can Oruc, Wannes Meert, Hendrik Blockeel, Jesse Davis |
| 2024 | SDM | Pattern-based Time Series Semantic Segmentation with Gradual State Transitions. | Louis Carpentier, Len Feremans, Wannes Meert, Mathias Verbeke |
| 2023 | SDM | A novel reject option applied to sleep stage scoring. | Dries Van der Plas, Wannes Meert, Johan Verbraecken, Jesse Davis |
| 2022 | DATE | Discrete Samplers for Approximate Inference in Probabilistic Machine Learning. | Shirui Zhao, Nimish Shah, Wannes Meert, Marian Verhelst |
| 2022 | DIS | Elastic Product Quantization for Time Series. | Pieter Robberechts, Wannes Meert, Jesse Davis |
| 2022 | IJCAI | Evaluating Sports Analytics Models: Challenges, Approaches, and Lessons Learned. | Jesse Davis, Lotte Bransen, Laurens Devos, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy |
| 2022 | IDA | Parameter Learning in ProbLog with Annotated Disjunctions. | Wen-Chi Yang, Arcchit Jain, Luc De Raedt, Wannes Meert |
| 2022 | MICRO | DPU-v2: Energy-efficient execution of irregular directed acyclic graphs. | Nimish Shah, Wannes Meert, Marian Verhelst |
| 2021 | AAAI | An Automated Engineering Assistant: Learning Parsers for Technical Drawings. | Dries Van Daele, Nicholas Decleyre, Herman Dubois, Wannes Meert |
| 2021 | AAAI | Automated Reasoning and Learning for Automated Payroll Management. | Sebastijan Dumancic, Wannes Meert, Stijn Goethals, Tim Stuyckens, Jelle Huygen, Koen Denies |
| 2021 | ADMA | Know Your Limits: Machine Learning with Rejection for Vehicle Engineering. | Kilian Hendrickx, Wannes Meert, Bram Cornelis, Jesse Davis |
| 2021 | ICML | Versatile Verification of Tree Ensembles. | Laurens Devos, Wannes Meert, Jesse Davis |
| 2021 | SDM | Verifying Tree Ensembles by Reasoning about Potential Instances. | Laurens Devos, Wannes Meert, Jesse Davis |
| 2020 | AAAI | Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection. | Vincent Vercruyssen, Wannes Meert, Jesse Davis |
| 2020 | DATE | Acceleration of probabilistic reasoning through custom processor architecture. | Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst |
| 2020 | IDA | Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams. | Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst |
| 2020 | SDM | "Now you see it, now you don't!" Detecting Suspicious Pattern Absences in Continuous Time Series. | Vincent Vercruyssen, Wannes Meert, Jesse Davis |
| 2019 | DAC | ProbLP: A framework for low-precision probabilistic inference. | Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst |
| 2019 | IJCAI | Learning Relational Representations with Auto-encoding Logic Programs. | Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel |
| 2018 | DIS | COBRASTS: A New Approach to Semi-supervised Clustering of Time Series. | Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel |
| 2018 | ESANN | Feature noise tuning for resource efficient Bayesian Network Classifiers. | Laura Isabel Galindez Olascoaga, Jonas Vlasselaer, Wannes Meert, Marian Verhelst |
| 2018 | ICDM | Semi-Supervised Anomaly Detection with an Application to Water Analytics. | Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis |
| 2018 | KDD | Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion. | Tim Op De Beck, Wannes Meert, Kurt Schtte, Benedicte Vanwanseele, Jesse Davis |
| 2016 | AAAI | Knowledge Compilation and Weighted Model Counting for Inference in Probabilistic Logic Programs. | Jonas Vlasselaer, Angelika Kimmig, Anton Dries, Wannes Meert, Luc De Raedt |
| 2016 | ACSSC | Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends. | Laura Isabel Galindez Olascoaga, Komail M. H. Badami, V. Rajesh Pamula, Steven Lauwereins, Wannes Meert, Marian Verhelst |
| 2016 | ECAI | Extending Naive Bayes with Precision-tunable Feature Variables for Resource-efficient Sensor Fusion. | Laura Isabel Galindez Olascoaga, Wannes Meert, Herman Bruyninckx, Marian Verhelst |
| 2015 | IJCAI | Anytime Inference in Probabilistic Logic Programs with Tp-Compilation. | Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt |
| 2014 | AAAI | Efficient Probabilistic Inference for Dynamic Relational Models. | Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt |
| 2014 | ECAI | Condition Monitoring with Incomplete Observations. | Jonas Vlasselaer, Wannes Meert, Rocco Langone, Luc De Raedt |
| 2014 | ESANN | Context- and cost-aware feature selection in ultra-low-power sensor interfaces. | Steven Lauwereins, Komail M. H. Badami, Wannes Meert, Marian Verhelst |
| 2014 | ILP | The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions. | Dimitar Sht. Shterionov, Joris Renkens, Jonas Vlasselaer, Angelika Kimmig, Wannes Meert, Gerda Janssens |
| 2014 | KR | Skolemization for Weighted First-Order Model Counting. | Guy Van den Broeck, Wannes Meert, Adnan Darwiche |
| 2013 | AAAI | Lifted Generative Parameter Learning. | Guy Van den Broeck, Wannes Meert, Jesse Davis |
| 2013 | ICPRAM | Rule-based Hand Posture Recognition using Qualitative Finger Configurations Acquired with the Kinect. | Lieven Billiet, Jos Oramas M., McElory Hoffmann, Wannes Meert, Laura Antanas |
| 2013 | WWW | Bitsquatting: exploiting bit-flips for fun, or profit? | Nick Nikiforakis, Steven Van Acker, Wannes Meert, Lieven Desmet, Frank Piessens, Wouter Joosen |
| 2011 | IJCAI | Lifted Probabilistic Inference by First-Order Knowledge Compilation. | Guy Van den Broeck, Nima Taghipour, Wannes Meert, Jesse Davis, Luc De Raedt |
| 2009 | ILP | CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods. | Wannes Meert, Jan Struyf, Hendrik Blockeel |
| 2006 | ILP | Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks. | Hendrik Blockeel, Wannes Meert |