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Wannes Meert
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Publications
- 2023
- [c65]Laurens Devos, Lorenzo Perini, Wannes Meert, Jesse Davis:
Detecting Evasion Attacks in Deployed Tree Ensembles. ECML/PKDD (5) 2023: 120-136 - [c63]Dries Van der Pias, Wannes Meert, Johan Verbraecken, Jesse Davis:
A novel reject option applied to sleep stage scoring. SDM 2023: 820-828 - 2022
- [c60]Pieter Robberechts, Wannes Meert, Jesse Davis:
Elastic Product Quantization for Time Series. DS 2022: 157-172 - [c58]Jesse Davis, Lotte Bransen, Laurens Devos, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy:
Evaluating Sports Analytics Models: Challenges, Approaches, and Lessons Learned. EBeM@IJCAI 2022 - [c56]Loren Nuyts, Laurens Devos, Wannes Meert, Jesse Davis:
Bitpaths: Compressing Datasets Without Decreasing Predictive Performance. PKDD/ECML Workshops (1) 2022: 261-268 - [c55]Vincent Vercruyssen, Lorenzo Perini, Wannes Meert, Jesse Davis:
Multi-domain Active Learning for Semi-supervised Anomaly Detection. ECML/PKDD (4) 2022: 485-501 - [i20]Pieter Robberechts, Wannes Meert, Jesse Davis:
Elastic Product Quantization for Time Series. CoRR abs/2201.01856 (2022) - [i19]Laurens Devos, Wannes Meert, Jesse Davis:
Adversarial Example Detection in Deployed Tree Ensembles. CoRR abs/2206.13083 (2022) - 2021
- [j13]Dries Van der Plas, Johan Verbraecken, Marc Willemen, Wannes Meert, Jesse Davis:
Evaluation of Automated Hypnogram Analysis on Multi-Scored Polysomnographies. Frontiers Digit. Health 3: 707589 (2021) - [c52]Kilian Hendrickx, Wannes Meert, Bram Cornelis, Jesse Davis:
Know Your Limits: Machine Learning with Rejection for Vehicle Engineering. ADMA 2021: 273-288 - [c51]Laurens Devos, Wannes Meert, Jesse Davis:
Versatile Verification of Tree Ensembles. ICML 2021: 2654-2664 - [c49]Laurens Devos, Wannes Meert, Jesse Davis:
Verifying Tree Ensembles by Reasoning about Potential Instances. SDM 2021: 450-458 - [i13]Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas, Wannes Meert, Jesse Davis:
Machine Learning with a Reject Option: A survey. CoRR abs/2107.11277 (2021) - 2020
- [c48]Vincent Vercruyssen, Wannes Meert, Jesse Davis:
Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection. AAAI 2020: 6054-6061 - [c44]Vincent Vercruyssen, Wannes Meert, Jesse Davis:
"Now you see it, now you don't!" Detecting Suspicious Pattern Absences in Continuous Time Series. SDM 2020: 127-135 - [i11]Laurens Devos, Wannes Meert, Jesse Davis:
Additive Tree Ensembles: Reasoning About Potential Instances. CoRR abs/2001.11905 (2020) - [i10]Laurens Devos, Wannes Meert, Jesse Davis:
Versatile Verification of Tree Ensembles. CoRR abs/2010.13880 (2020) - 2019
- [c34]Laurens Devos, Wannes Meert, Jesse Davis:
Fast Gradient Boosting Decision Trees with Bit-Level Data Structures. ECML/PKDD (1) 2019: 590-606 - [i6]Kilian Hendrickx, Wannes Meert, Yves Mollet, Johan Gyselinck, Bram Cornelis, Konstantinos C. Gryllias, Jesse Davis:
A general anomaly detection framework for fleet-based condition monitoring of machines. CoRR abs/1912.12941 (2019) - 2018
- [c30]Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis:
Semi-Supervised Anomaly Detection with an Application to Water Analytics. ICDM 2018: 527-536 - [c29]Tim Op De Beéck, Wannes Meert, Kurt Schütte, Benedicte Vanwanseele, Jesse Davis:
Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion. KDD 2018: 606-615 - [c28]Pieter Robberechts, Maarten Bosteels, Jesse Davis, Wannes Meert:
Query Log Analysis: Detecting Anomalies in DNS Traffic at a TLD Resolver. DMLE/IOTSTREAMING@PKDD/ECML 2018: 55-67 - 2017
- [c24]Vincent Vercruyssen, Wannes Meert, Jesse Davis:
Transfer Learning for Time Series Anomaly Detection. IAL@PKDD/ECML 2017: 27-36 - 2016
- [j5]Jan Van Haaren, Guy Van den Broeck, Wannes Meert, Jesse Davis:
Lifted generative learning of Markov logic networks. Mach. Learn. 103(1): 27-55 (2016) - 2013
- [c8]Guy Van den Broeck, Wannes Meert, Jesse Davis:
Lifted Generative Parameter Learning. StarAI@AAAI 2013 - 2011
- [c4]Guy Van den Broeck, Nima Taghipour, Wannes Meert, Jesse Davis, Luc De Raedt:
Lifted Probabilistic Inference by First-Order Knowledge Compilation. IJCAI 2011: 2178-2185
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last updated on 2023-12-13 20:39 CET by the dblp team
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