Jonas Vlasselaer

Publication Activity (10 Years)

Years Active: 2014-2018
Publications (10 Years): 7

Top Venues

ECML/PKDD (3)

ESANN

IEEE J. Emerg. Sel. Topics Circuits Syst.

Int. J. Approx. Reason.

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Jonas Vlasselaer, Wannes Meert, Marian Verhelst
Towards Resource-Efficient Classifiers for Always-On Monitoring. ECML/PKDD (3) (2018)
Laura Isabel Galindez Olascoaga, Jonas Vlasselaer, Wannes Meert, Marian Verhelst
Feature noise tuning for resource efficient Bayesian Network Classifiers. ESANN (2018)
Laura Isabel Galindez Olascoaga, Komail M. H. Badami, Jonas Vlasselaer, Wannes Meert, Marian Verhelst
Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (4) (2018)
Jonas Vlasselaer, Carlos Fernando Crispim Junior, François Brémond, Anton Dries
BEHAVE - Behavioral Analysis of Visual Events for Assisted Living Scenarios. ICCV Workshops (2017)
Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt
-Compilation for inference in probabilistic logic programs. Int. J. Approx. Reason. 78 (2016)
Jonas Vlasselaer, Angelika Kimmig, Anton Dries, Wannes Meert, Luc De Raedt
Knowledge Compilation and Weighted Model Counting for Inference in Probabilistic Logic Programs. AAAI Workshop: Beyond NP (2016)
Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt
Exploiting local and repeated structure in Dynamic Bayesian Networks. Artif. Intell. 232 (2016)
Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt
Anytime Inference in Probabilistic Logic Programs with Tp-Compilation. IJCAI (2015)
Anton Dries, Angelika Kimmig, Wannes Meert, Joris Renkens, Guy Van den Broeck, Jonas Vlasselaer, Luc De Raedt
ProbLog2: Probabilistic Logic Programming. ECML/PKDD (3) (2015)
Rocco Langone, Carlos Alzate, Bart De Ketelaere, Jonas Vlasselaer, Wannes Meert, Johan A. K. Suykens
LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines. Eng. Appl. Artif. Intell. 37 (2015)
Dimitar Sht. Shterionov, Joris Renkens, Jonas Vlasselaer, Angelika Kimmig, Wannes Meert, Gerda Janssens
The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions. ILP (2014)
Jonas Vlasselaer, Wannes Meert, Rocco Langone, Luc De Raedt
Condition Monitoring with Incomplete Observations. ECAI (2014)
Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt
Efficient Probabilistic Inference for Dynamic Relational Models. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)

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Publication Activity (10 Years)

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Jonas Vlasselaer