Anton Dries
Anton Dries
Nokia Bell Labs
Zweryfikowany adres z nokia-bell-labs.com - Strona główna
Cytowane przez
Cytowane przez
Adaptive concept drift detection
A Dries, U Rückert
Statistical Analysis and Data Mining: The ASA Data Science Journal 2 (5‐6 …, 2009
Inducing probabilistic relational rules from probabilistic examples
L De Raedt, A Dries, I Thon, G Van den Broeck, M Verbeke
Twenty-fourth international joint conference on artificial intelligence, 2015
A query language for analyzing networks
A Dries, S Nijssen, L De Raedt
Proceedings of the 18th ACM conference on Information and knowledge …, 2009
Problog2: Probabilistic logic programming
A Dries, A Kimmig, W Meert, J Renkens, GV Broeck, J Vlasselaer, ...
Joint european conference on machine learning and knowledge discovery in …, 2015
MiningZinc: A Modeling Language for Constraint-Based Mining.
T Guns, A Dries, G Tack, S Nijssen, L De Raedt
IJCAI 13, 1365-1372, 2013
Dominance programming for itemset mining
B Negrevergne, A Dries, T Guns, S Nijssen
2013 IEEE 13th International Conference on Data Mining, 557-566, 2013
Miningzinc: A declarative framework for constraint-based mining
T Guns, A Dries, S Nijssen, G Tack, L De Raedt
Artificial Intelligence 244, 6-29, 2017
Exact and approximate weighted model integration with probability density functions using knowledge compilation
PZ Dos Martires, A Dries, L De Raedt
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7825-7833, 2019
Combining stochastic constraint optimization and probabilistic programming
ALD Latour, B Babaki, A Dries, A Kimmig, G Van den Broeck, S Nijssen
International Conference on Principles and Practice of Constraint …, 2017
Mining patterns in networks using homomorphism
A Dries, S Nijssen
Proceedings of the 2012 SIAM International Conference on Data Mining, 260-271, 2012
Solving probability problems in natural language
A Dries, A Kimmig, J Davis, V Belle, L De Raedt
Proceedings Twenty-Sixth International Joint Conference on Artificial …, 2017
Mining predictive k-CNF expressions
A Dries, L De Raedt, S Nijssen
IEEE transactions on knowledge and data engineering 22 (5), 743-748, 2009
Analyzing graph databases by aggregate queries
A Dries, S Nijssen
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 37-45, 2010
Learning constraint satisfaction problems: An ILP perspective
LD Raedt, A Dries, T Guns, C Bessiere
Data Mining and Constraint Programming, 96-112, 2016
BiQL: a query language for analyzing information networks
A Dries, S Nijssen, LD Raedt
Bisociative Knowledge Discovery, 147-165, 2012
Towards clausal discovery for stream mining
A Dries, LD Raedt
International Conference on Inductive Logic Programming, 9-16, 2009
Knowledge compilation and weighted model counting for inference in probabilistic logic programs
J Vlasselaer, A Kimmig, A Dries, W Meert, L De Raedt
Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016
The MiningZinc framework for constraint-based itemset mining
T Guns, A Dries, G Tack, S Nijssen, L De Raedt
2013 IEEE 13th International Conference on Data Mining Workshops, 1081-1084, 2013
Predictive spreadsheet autocompletion with constraints
S Kolb, S Teso, A Dries, L De Raedt
Machine Learning 109 (2), 307-325, 2020
Ontology-mediated queries over probabilistic data via probabilistic logic programming
T Van Bremen, A Dries, JC Jung
Proceedings of the 28th ACM International Conference on Information and …, 2019
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20