Jonas Vlasselaer

According to our database, Jonas Vlasselaer authored at least 14 papers between 2014 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification.

Laura Isabel Galindez Olascoaga, Komail M. H. Badami, Jonas Vlasselaer, Wannes Meert, Marian Verhelst

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

Towards Resource-Efficient Classifiers for Always-On Monitoring.

Jonas Vlasselaer, Wannes Meert, Marian Verhelst

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

Feature noise tuning for resource efficient Bayesian Network Classifiers.

Laura Isabel Galindez Olascoaga, Jonas Vlasselaer, Wannes Meert, Marian Verhelst

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

2017

BEHAVE - Behavioral Analysis of Visual Events for Assisted Living Scenarios.

Jonas Vlasselaer, Carlos Fernando Crispim Junior, François Brémond, Anton Dries

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Probabilistic Inference for Dynamic and Relational Models ; Probabilistische inferentie voor dynamische en relationele modellen.

Jonas Vlasselaer

PhD thesis, 2016

T_P-Compilation for inference in probabilistic logic programs.

Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt

Int. J. Approx. Reason., 2016

Exploiting local and repeated structure in Dynamic Bayesian Networks.

Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt

Artif. Intell., 2016

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

Jonas Vlasselaer, Angelika Kimmig, Anton Dries, Wannes Meert, Luc De Raedt

Proceedings of the Beyond NP, 2016

2015

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

Rocco Langone, Carlos Alzate, Bart De Ketelaere, Jonas Vlasselaer, Wannes Meert, Johan A. K. Suykens

Eng. Appl. Artif. Intell., 2015

ProbLog2: Probabilistic Logic Programming.

Anton Dries, Angelika Kimmig, Wannes Meert, Joris Renkens, Guy Van den Broeck, Jonas Vlasselaer, Luc De Raedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Anytime Inference in Probabilistic Logic Programs with Tp-Compilation.

Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt

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

2014

The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions.

Dimitar Sht. Shterionov, Joris Renkens, Jonas Vlasselaer, Angelika Kimmig, Wannes Meert, Gerda Janssens

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

Condition Monitoring with Incomplete Observations.

Jonas Vlasselaer, Wannes Meert, Rocco Langone, Luc De Raedt

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.

Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt

Proceedings of the Statistical Relational Artificial Intelligence, 2014