Wannes Meert

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Elastic Product Quantization for Time Series.

[BibT_eX]

[DOI]

Pieter Robberechts

Proceedings of the Discovery Science - 25th International Conference, 2022

Discrete Samplers for Approximate Inference in Probabilistic Machine Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Machine Learning, 2022

2021

Evaluation of Automated Hypnogram Analysis on Multi-Scored Polysomnographies.

[BibT_eX]

[DOI]

Frontiers Digit. Health, 2021

DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable Posit Arithmetic in 28nm.

[BibT_eX]

[DOI]

Shirui Zhao

CoRR, 2021

Verifying Tree Ensembles by Reasoning about Potential Instances.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Shirui Zhao

Proceedings of the IEEE International Solid-State Circuits Conference, 2021

Versatile Verification of Tree Ensembles.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Know Your Limits: Machine Learning with Rejection for Vehicle Engineering.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Automated Reasoning and Learning for Automated Payroll Management.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

An Automated Engineering Assistant: Learning Parsers for Technical Drawings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DTAIDistance.

[BibT_eX]

[DOI]

Kilian Hendrickx

Pieter Robberechts

Dataset, August, 2020

Crowdsourced Wireless Spectrum Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2020

Additive Tree Ensembles: Reasoning About Potential Instances.

[BibT_eX]

[DOI]

CoRR, 2020

"Now you see it, now you don't!" Detecting Suspicious Pattern Absences in Continuous Time Series.

[BibT_eX]

[DOI]

Vincent Vercruyssen

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits.

[BibT_eX]

[DOI]

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Acceleration of probabilistic reasoning through custom processor architecture.

[BibT_eX]

[DOI]

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection.

[BibT_eX]

[DOI]

Vincent Vercruyssen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Unsupervised Wireless Spectrum Anomaly Detection With Interpretable Features.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2019

A general anomaly detection framework for fleet-based condition monitoring of machines.

[BibT_eX]

[DOI]

Konstantinos C. Gryllias

CoRR, 2019

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

[BibT_eX]

[DOI]

Mathias Van Herreweghe

Mathias Verbeke

Tom Jacobs

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.

[BibT_eX]

[DOI]

Proceedings of the New Frontiers in Mining Complex Patterns - 8th International Workshop, 2019

Pattern-Based Anomaly Detection in Mixed-Type Time Series.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Fast Gradient Boosting Decision Trees with Bit-Level Data Structures.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Learning Parsers for Technical Drawings.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Towards Hardware-Aware Tractable Learning of Probabilistic Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Learning Relational Representations with Auto-encoding Logic Programs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ProbLP: A framework for low-precision probabilistic inference.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2018

Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series.

[BibT_eX]

[DOI]

CoRR, 2018

Towards Resource-Efficient Classifiers for Always-On Monitoring.

[BibT_eX]

[DOI]

Jonas Vlasselaer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Query Log Analysis: Detecting Anomalies in DNS Traffic at a TLD Resolver.

[BibT_eX]

[DOI]

Proceedings of the ECML PKDD 2018 Workshops, 2018

Interactive Time Series Clustering with COBRASTS.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion.

[BibT_eX]

[DOI]

Tim Op De Beéck

Kurt Schütte

Benedicte Vanwanseele

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised Anomaly Detection with an Application to Water Analytics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Feature noise tuning for resource efficient Bayesian Network Classifiers.

[BibT_eX]

[DOI]

Jonas Vlasselaer

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018

COBRASTS: A New Approach to Semi-supervised Clustering of Time Series.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors.

[BibT_eX]

[DOI]

CoRR, 2017

Transfer Learning for Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Vincent Vercruyssen

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

Power and spreading factor control in low power wide area networks.

[BibT_eX]

[DOI]

Brecht Reynders

Sofie Pollin

Proceedings of the IEEE International Conference on Communications, 2017

2016

Lifted generative learning of Markov logic networks.

[BibT_eX]

[DOI]

Mach. Learn., 2016

A 90 nm CMOS, 6µW Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection.

[BibT_eX]

[DOI]

IEEE J. Solid State Circuits, 2016

T<sub>P</sub>-Compilation for inference in probabilistic logic programs.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2016

Theory reconstruction: a representation learning view on predicate invention.

[BibT_eX]

[DOI]

CoRR, 2016

Exploiting local and repeated structure in Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

Artif. Intell., 2016

Energy consumption profiling using Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Range and coexistence analysis of long range unlicensed communication.

[BibT_eX]

[DOI]

Brecht Reynders

Sofie Pollin

Proceedings of the 23rd International Conference on Telecommunications, 2016

Extending Naive Bayes with Precision-tunable Feature Variables for Resource-efficient Sensor Fusion.

[BibT_eX]

[DOI]

Herman Bruyninckx

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.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Knowledge Compilation and Weighted Model Counting for Inference in Probabilistic Logic Programs.

[BibT_eX]

[DOI]

Proceedings of the Beyond NP, 2016

2015

Optimal resource usage in ultra-low-power sensor interfaces through context- and resource-cost-aware machine learning.

[BibT_eX]

[DOI]

Neurocomputing, 2015

LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

ProbLog2: Probabilistic Logic Programming.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015

Anytime Inference in Probabilistic Logic Programs with Tp-Compilation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Inhibited Effects in CP-Logic.

[BibT_eX]

[DOI]

Joost Vennekens

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Skolemization for Weighted First-Order Model Counting.

[BibT_eX]

[DOI]

Guy Van den Broeck

Adnan Darwiche

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.

[BibT_eX]

[DOI]

Dimitar Sht. Shterionov

Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Context- and cost-aware feature selection in ultra-low-power sensor interfaces.

[BibT_eX]

[DOI]

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Condition Monitoring with Incomplete Observations.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Efficient Probabilistic Inference for Dynamic Relational Models.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013

Bitsquatting: exploiting bit-flips for fun, or profit?

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

Rule-based Hand Posture Recognition using Qualitative Finger Configurations Acquired with the Kinect.

[BibT_eX]

Proceedings of the ICPRAM 2013, 2013

Lifted Generative Parameter Learning.

[BibT_eX]

[DOI]

Guy Van den Broeck

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).

[BibT_eX]

[DOI]

PhD thesis, 2011

Lifted Probabilistic Inference by First-Order Knowledge Compilation.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

SessionShield: Lightweight Protection against Session Hijacking.

[BibT_eX]

[DOI]

Proceedings of the Engineering Secure Software and Systems - Third International Symposium, 2011

2010

CHR(PRISM)-based probabilistic logic learning.

[BibT_eX]

[DOI]

Theory Pract. Log. Program., 2010

First-Order Bayes-Ball.

[BibT_eX]

[DOI]

Nima Taghipour

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.

[BibT_eX]

[DOI]

Jan Struyf

Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

2008

Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques.

[BibT_eX]

[DOI]

Jan Struyf

Fundam. Informaticae, 2008

2006

Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks.

[BibT_eX]

[DOI]