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ORCIDBehrouz Babaki
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2020 – today
- 2022
[j3]Anna L. D. Latour
, Behrouz Babaki, Daniël Fokkinga, Marie Anastacio, Holger H. Hoos, Siegfried Nijssen:
Exact stochastic constraint optimisation with applications in network analysis. Artif. Intell. 304: 103650 (2022)- 2021
- [j2]Duy-Hoang Tran, Behrouz Babaki, Dries Van Daele, Pieter Leyman, Patrick De Causmaecker:
Local search for constrained graph clustering in biological networks. Comput. Oper. Res. 132: 105299 (2021) - [c16]Golnoosh Farnadi, William St-Arnaud, Behrouz Babaki, Margarida Carvalho:
Individual Fairness in Kidney Exchange Programs. AAAI 2021: 11496-11505 - 2020
- [c15]YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck:
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. AAAI 2020: 10077-10084 - [c14]Behrouz Babaki, Bilel Omrani, Gilles Pesant:
Combinatorial Search in CP-Based Iterated Belief Propagation. CP 2020: 21-36 - [c13]Behrouz Babaki, Gilles Pesant:
Parallel Planning using a Lazy Clause Generation Solver. ICTAI 2020: 272-276 - [c12]Behrouz Babaki, Gilles Pesant, Claude-Guy Quimper:
Solving Classical AI Planning Problems Using Planning-Independent CP Modeling and Search. SOCS 2020: 2-10 - [c11]Golnoosh Farnadi, Behrouz Babaki, Michel Gendreau:
A Unifying Framework for Fairness-Aware Influence Maximization. WWW (Companion Volume) 2020: 714-722
2010 – 2019
- 2019
- [j1]Golnoosh Farnadi, Behrouz Babaki, Lise Getoor:
A Declarative Approach to Fairness in Relational Domains. IEEE Data Eng. Bull. 42(3): 36-48 (2019) - [c10]Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor:
Lifted Hinge-Loss Markov Random Fields. AAAI 2019: 7975-7983 - [c9]Anna Louise D. Latour, Behrouz Babaki, Siegfried Nijssen:
Stochastic Constraint Propagation for Mining Probabilistic Networks. BNAIC/BENELEARN 2019 - [c8]Anna Louise D. Latour, Behrouz Babaki, Siegfried Nijssen:
Stochastic Constraint Propagation for Mining Probabilistic Networks. IJCAI 2019: 1137-1145 - [i3]YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck:
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. CoRR abs/1906.03843 (2019) - [i2]Behrouz Babaki, Golnoosh Farnadi, Gilles Pesant:
Compiling Stochastic Constraint Programs to And-Or Decision Diagrams. CoRR abs/1909.10622 (2019) - 2018
- [c7]Golnoosh Farnadi, Behrouz Babaki, Lise Getoor:
Fairness-Aware Relational Learning and Inference. AAAI Workshops 2018: 333-335 - [c6]Golnoosh Farnadi, Behrouz Babaki, Lise Getoor:
Fairness in Relational Domains. AIES 2018: 108-114 - [i1]Anna L. D. Latour, Behrouz Babaki, Siegfried Nijssen:
Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams. CoRR abs/1807.01079 (2018) - 2017
- [b1]Behrouz Babaki:
On Constraints, Optimisation, Probability and Data Mining ; Over constraints, optimisatie, probability en data mining. Katholieke Universiteit Leuven, Belgium, 2017 - [c5]Anna L. D. Latour, Behrouz Babaki, Anton Dries, Angelika Kimmig, Guy Van den Broeck, Siegfried Nijssen:
Combining Stochastic Constraint Optimization and Probabilistic Programming - From Knowledge Compilation to Constraint Solving. CP 2017: 495-511 - [c4]Behrouz Babaki, Tias Guns, Luc De Raedt:
Stochastic Constraint Programming with And-Or Branch-and-Bound. IJCAI 2017: 539-545 - [c3]Van Son Nguyen, Behrouz Babaki, Anton Dries, Pham Quang Dung, Nguyen Xuan:
Prediction-based optimization for online People and Parcels share a ride taxis. KSE 2017: 42-47 - 2016
- [p1]Anton Dries, Tias Guns, Siegfried Nijssen, Behrouz Babaki, Thanh Le Van, Benjamin Négrevergne, Sergey Paramonov, Luc De Raedt:
Modeling in MiningZinc. Data Mining and Constraint Programming 2016: 257-281 - 2015
- [c2]Behrouz Babaki, Tias Guns, Siegfried Nijssen, Luc De Raedt:
Constraint-Based Querying for Bayesian Network Exploration. IDA 2015: 13-24 - 2014
- [c1]Behrouz Babaki, Tias Guns, Siegfried Nijssen:
Constrained Clustering Using Column Generation. CPAIOR 2014: 438-454
Coauthor Index
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