Wannes Meert
Orcid: 0000-0001-9560-3872Affiliations:
- KU Leuven, Department of Computer Science, Belgium
According to our database1,
Wannes Meert
authored at least 93 papers
between 2006 and 2023.
Collaborative distances:
Collaborative distances:
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Online presence:
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on kuleuven.be
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on orcid.org
On csauthors.net:
Bibliography
2023
CoRR, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
2022
IEEE Trans. Parallel Distributed Syst., 2022
DPU: DAG Processing Unit for Irregular Graphs With Precision-Scalable Posit Arithmetic in 28 nm.
IEEE J. Solid State Circuits, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022
Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming.
Proceedings of the Artificial Intelligence and Machine Learning, 2022
2021
Frontiers Digit. Health, 2021
DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable Posit Arithmetic in 28nm.
CoRR, 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
9.4 PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Cogn. Commun. Netw., 2020
"Now you see it, now you don't!" Detecting Suspicious Pattern Absences in Continuous Time Series.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Cogn. Commun. Netw., 2019
A general anomaly detection framework for fleet-based condition monitoring of machines.
CoRR, 2019
A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs.
Proceedings of the New Frontiers in Mining Complex Patterns - 8th International Workshop, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
On Hardware-Aware Probabilistic Frameworks for Resource Constrained Embedded Applications.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
2018
Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors.
IEEE Trans. Cogn. Commun. Netw., 2018
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the ECML PKDD 2018 Workshops, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018
Proceedings of the Discovery Science - 21st International Conference, 2018
2017
Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors.
CoRR, 2017
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017
Proceedings of the IEEE International Conference on Communications, 2017
2016
A 90 nm CMOS, 6µW Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection.
IEEE J. Solid State Circuits, 2016
Int. J. Approx. Reason., 2016
CoRR, 2016
Artif. Intell., 2016
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016
Proceedings of the 23rd International Conference on Telecommunications, 2016
Extending Naive Bayes with Precision-tunable Feature Variables for Resource-efficient Sensor Fusion.
Proceedings of the 2nd Workshop on Artificial Intelligence and Internet of Things co-located with the 22nd European Conference on Artificial Intelligence (ECAI 2016), 2016
Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
Knowledge Compilation and Weighted Model Counting for Inference in Probabilistic Logic Programs.
Proceedings of the Beyond NP, 2016
2015
Optimal resource usage in ultra-low-power sensor interfaces through context- and resource-cost-aware machine learning.
Neurocomputing, 2015
LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines.
Eng. Appl. Artif. Intell., 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
24.2 Context-aware hierarchical information-sensing in a 6μW 90nm CMOS voice activity detector.
Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
2014
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014
The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions.
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014
Proceedings of the Statistical Relational Artificial Intelligence, 2014
2013
Proceedings of the 22nd International World Wide Web Conference, 2013
Rule-based Hand Posture Recognition using Qualitative Finger Configurations Acquired with the Kinect.
Proceedings of the ICPRAM 2013, 2013
Proceedings of the Statistical Relational Artificial Intelligence, 2013
2011
Inference and Learning for Directed Probabilistic Logic Models (Inferentie en leren voor gerichte probabilistische logische modellen).
PhD thesis, 2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the Engineering Secure Software and Systems - Third International Symposium, 2011
2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
2009
CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods.
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009
2008
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques.
Fundam. Informaticae, 2008
2006
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006