“NOW YOU SEE IT, NOW YOU DON'T!” DETECTING SUSPICIOUS PATTERN ABSENCES IN CONTINUOUS TIME SERIES

von Vercruyssen, Vincent
Veröffentlicht in SIAM International Conference on Data Mining SIAM International Conference on Data Mining 2020 (2021)

Verifying Tree Ensembles by Reasoning about Potential Instances

von Devos, Laurens
Veröffentlicht in SIAM International Conference on Data Mining (2021 : Online) SIAM International Conference on Data Mining (SDM21) (2021)

VERSATILE VERIFICATION OF TREE ENSEMBLES

von DEVOS, LAURENS
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 4 of 16 (2022)

Estimating Dynamic Time Warping Distance Between Time Series with Missing Data

von Yurtman, Aras
Veröffentlicht in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2023 : Turin) Machine learning and knowledge discovery in databases ; Part 5: Research track (2023)

Know Your Limits: Machine Learning with Rejection for Vehicle Engineering

von Hendrickx, Kilian
Veröffentlicht in ADMA (17. : 2021 : Sydney) Advanced data mining and applications ; Part 1 (2022)

Bitpaths: Compressing Datasets Without Decreasing Predictive Performance

von Nuyts, Loren
Veröffentlicht in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2022 : Grenoble) Machine learning and principles and practice of knowledge discovery in databases ; Part 1 (2023)

Detecting Evasion Attacks in Deployed Tree Ensembles

von Devos, Laurens
Veröffentlicht in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2023 : Turin) Machine learning and knowledge discovery in databases ; Part 5: Research track (2023)

A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes

von Van Herreweghe, Mathias
Veröffentlicht in ECML PKDD (4. : 2019 : Würzburg) Machine learning and knowledge discovery in databases ; Part 2 (2020)

Learning Parsers for Technical Drawings

von Daele, Dries van
Veröffentlicht in ECML PKDD (4. : 2019 : Würzburg) Machine learning and knowledge discovery in databases ; Part 1 (2020)

A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs

von Feremans, Len
Veröffentlicht in NFMCP (8. : 2019 : Würzburg) New frontiers in mining complex patterns (2020)

Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits

von Olascoaga, Laura I. Galindez
Veröffentlicht in IoT Streams (2. : 2020 : Online) IoT streams for data-driven predictive maintenance and IoT, edge, and mobile for embedded machine learning (2020)

Parameter Learning in ProbLog with Annotated Disjunctions

von Yang, Wen-Chi
Veröffentlicht in IDA (20. : 2022 : Rennes) Advances in intelligent data analysis XX (2022)

TOWARDS HARDWARE-AWARE TRACTABLE LEARNING OF PROBABILISTIC MODELS

von Olascoaga, Laura I. Galindez
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 18 of 20 (2020)

Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams

von Olascoaga, Laura Isabel Galindez
Veröffentlicht in IDA (18. : 2020 : Online) Advances in intelligent data analysis XVIII (2020)

Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming

von Goyal, Kshitij
Veröffentlicht in BNAIC/Benelearn (34. : 2022 : Mecheln) Artificial intelligence and machine learning (2023)