Tias Guns

143 papers A* 23A 19B 10Journal 63Unranked 17
YearRankTypeTitle / Venue / Authors
2026 A* conf
Preference Elicitation for Step-Wise Explanations in Logic Puzzles.
AAAI
Marco Foschini, Marianne Defresne, Emilio Gamba, Bart Bogaerts, Tias Guns
2026 J jnl
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning.
J. Artif. Intell. Res.
Mattia Silvestri, Senne Berden, Gaetano Signorelli, Ali Irfan Mahmutogullari, Jayanta Mandi, Brandon Amos, Tias Guns, Michele Lombardi
2026 A* conf
Using Certifying Constraint Solvers for Generating Step-wise Explanations.
AAAI
Ignace Bleukx, Maarten Flippo, Bart Bogaerts, Emir Demirovic, Tias Guns
2025 J jnl
A Divide, Align and Conquer Strategy For Program Synthesis.
J. Artif. Intell. Res.
Jonas Witt, Sebastijan Dumancic, Tias Guns, Claus-Christian Carbon
2025 A conf
CP-Bench: Evaluating Large Language Models for Constraint Modelling.
ECAI
Kostis Michailidis, Dimos Tsouros, Tias Guns
2025 J jnl
CP-Bench: Evaluating Large Language Models for Constraint Modelling.
CoRR
Kostis Michailidis, Dimos Tsouros, Tias Guns
2025 J jnl
Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities.
J. Artif. Intell. Res.
Quentin Cappart, Tias Guns, Michele Lombardi, Gilles Pesant, Dimos Tsouros
2025 J jnl
Data science meets optimization II.
Ann. Math. Artif. Intell.
Yingqian Zhang, Tias Guns, Michele Lombardi, Patrick De Causmaecker
2025 A* conf
Exploiting Symmetries in MUS Computation.
AAAI
Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts, Tias Guns
2025 J jnl
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints.
CoRR
Jayanta Mandi, Marianne Defresne, Senne Berden, Tias Guns
2025 A* conf
Generalizing Constraint Models in Constraint Acquisition.
AAAI
Dimos Tsouros, Senne Berden, Steven Prestwich, Tias Guns
2025 A conf
Improving Reduction Techniques in Pseudo-Boolean Conflict Analysis.
SAT
Orestis Lomis, Jo Devriendt, Hendrik Bierlee, Tias Guns
2025 A conf
Minimizing Surrogate Losses for Decision-Focused Learning Using Differentiable Optimization.
ECAI
Jayanta Mandi, Ali Irfan Mahmutogullari, Senne Berden, Tias Guns
2025 J jnl
Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization.
CoRR
Jayanta Mandi, Ali Irfan Mahmutogullari, Senne Berden, Tias Guns
2025 A conf
Modeling and Explaining an Industrial Workforce Allocation and Scheduling Problem.
CP
Ignace Bleukx, Ryma Boumazouza, Tias Guns, Nadine Laage, Guillaume Povéda
2025 A* conf
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation.
IJCAI
Marianne Defresne, Jayanta Mandi, Tias Guns
2025 J jnl
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation.
CoRR
Marianne Defresne, Jayanta Mandi, Tias Guns
2025 J jnl
Preference Elicitation for Step-Wise Explanations in Logic Puzzles.
CoRR
Marco Foschini, Marianne Defresne, Emilio Gamba, Bart Bogaerts, Tias Guns
2025 J jnl
Solver-Free Decision-Focused Learning for Linear Optimization Problems.
CoRR
Senne Berden, Ali Irfan Mahmutogullari, Dimos Tsouros, Tias Guns
2025 J jnl
To change or not to change the lead time in a dynamic order-up-to inventory system?
J. Oper. Res. Soc.
Jente Van Belle, Ruben Crevits, Tias Guns, Wouter Verbeke
2025 J jnl
Using Certifying Constraint Solvers for Generating Step-wise Explanations.
CoRR
Ignace Bleukx, Maarten Flippo, Bart Bogaerts, Emir Demirovic, Tias Guns
2024 — conf
An Efficient Structured Perceptron for NP-Hard Combinatorial Optimization Problems.
CPAIOR (2)
Bastián Véjar, Gaël Aglin, Ali Irfan Mahmutogullari, Siegfried Nijssen, Pierre Schaus, Tias Guns
2024 — conf
Benchmarking in Neuro-Symbolic AI.
IJCLR
Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Singh Dhami, Michelangelo Diligenti, Sebastijan Dumancic, Boi Faltings, Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola, Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Salvatore Lorello, Emanuele Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi, Stefano Teso, Neil Yorke-Smith, Marco Lippi
2024 A conf
Constraint Modelling with LLMs Using In-Context Learning.
CP
Kostis Michailidis, Dimos Tsouros, Tias Guns
2024 A conf
Decision-Focused Learning to Predict Action Costs for Planning.
ECAI
Jayanta Mandi, Marco Foschini, Daniel Höller, Sylvie Thiébaux, Jörg Hoffmann, Tias Guns
2024 J jnl
Decision-Focused Learning to Predict Action Costs for Planning.
CoRR
Jayanta Mandi, Marco Foschini, Daniel Höller, Sylvie Thiébaux, Jörg Hoffmann, Tias Guns
2024 J jnl
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities.
J. Artif. Intell. Res.
Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
2024 J jnl
Exploiting Symmetries in MUS Computation (Extended version).
CoRR
Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts, Tias Guns
2024 J jnl
Generalizing Constraint Models in Constraint Acquisition.
CoRR
Dimos Tsouros, Senne Berden, Steven Prestwich, Tias Guns
2024 A* conf
Learning to Learn in Interactive Constraint Acquisition.
AAAI
Dimosthenis C. Tsouros, Senne Berden, Tias Guns
2024 J jnl
Machine Learning Augmented Algorithms for Combinatorial Optimization Problems (Dagstuhl Seminar 24441).
Dagstuhl Reports
Deepak Ajwani, Bistra Dilkina, Tias Guns, Ulrich Carsten Meyer
2024 A conf
Mutational Fuzz Testing for Constraint Modeling Systems.
CP
Wout Vanroose, Ignace Bleukx, Jo Devriendt, Dimos Tsouros, Hélène Verhaeghe, Tias Guns
2024 J jnl
Perception-based constraint solving for sudoku images.
Constraints An Int. J.
Maxime Mulamba, Jayanta Mandi, Ali Irfan Mahmutogullari, Tias Guns
2024 J jnl
Probability estimation and structured output prediction for learning preferences in last mile delivery.
Comput. Ind. Eng.
Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Maxime Mulamba, Yves Molenbruch, Tias Guns
2024 — conf
Trustworthiness of AI in Planning and Scheduling: The Experience of the TUPLES Project.
DSA ISC (2)
Angelo Gordini, Matteo Pozzi, Michele Lombardi, Thomas Sergeys, Tias Guns, Andrea De Cesarei, Sofia Morandini, Sylvie Thiébaux
2024 J jnl
Trustworthy and Explainable Decision-Making for Workforce allocation.
CoRR
Guillaume Povéda, Ryma Boumazouza, Andreas Strahl, Mark Hall, Santiago Quintana-Amate, Nahum Álvarez, Ignace Bleukx, Dimos Tsouros, Hélène Verhaeghe, Tias Guns
2023 J jnl
A Divide-Align-Conquer Strategy for Program Synthesis.
CoRR
Jonas Witt, Stef Rasing, Sebastijan Dumancic, Tias Guns, Claus-Christian Carbon
2023 J jnl
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities.
CoRR
Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
2023 J jnl
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization (extended algorithms and examples).
CoRR
Emilio Gamba, Bart Bogaerts, Tias Guns
2023 J jnl
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization.
J. Artif. Intell. Res.
Emilio Gamba, Bart Bogaerts, Tias Guns
2023 B conf
Electricity Price Forecasting based on Order Books: a differentiable optimization approach.
DSAA
Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet
2023 A conf
Guided Bottom-Up Interactive Constraint Acquisition.
CP
Dimosthenis C. Tsouros, Senne Berden, Tias Guns
2023 J jnl
Guided Bottom-Up Interactive Constraint Acquisition.
CoRR
Dimosthenis C. Tsouros, Senne Berden, Tias Guns
2023 J jnl
Holy Grail 2.0: From Natural Language to Constraint Models.
CoRR
Dimosthenis C. Tsouros, Hélène Verhaeghe, Serdar Kadioglu, Tias Guns
2023 J jnl
Learn and route: learning implicit preferences for vehicle routing.
Constraints An Int. J.
Rocsildes Canoy, Víctor Bucarey, Jayanta Mandi, Tias Guns
2023 J jnl
Learning to Learn in Interactive Constraint Acquisition.
CoRR
Dimos Tsouros, Senne Berden, Tias Guns
2023 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
ECML/PKDD (1)
Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II
ECML/PKDD (2)
Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III
ECML/PKDD (3)
Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV
ECML/PKDD (4)
Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part V
ECML/PKDD (5)
Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI
ECML/PKDD (6)
Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023 J jnl
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning.
CoRR
Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Irfan Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi
2023 A conf
Simplifying Step-Wise Explanation Sequences.
CP
Ignace Bleukx, Jo Devriendt, Emilio Gamba, Bart Bogaerts, Tias Guns
2023 A* conf
Sudoku Assistant - an AI-Powered App to Help Solve Pen-and-Paper Sudokus.
AAAI
Tias Guns, Emilio Gamba, Maxime Mulamba, Ignace Bleukx, Senne Berden, Milan Pesa
2022 J jnl
Baseband-Function Placement With Multi-Task Traffic Prediction for 5G Radio Access Networks.
IEEE Trans. Netw. Serv. Manag.
Ligia Maria Moreira Zorello, Laurens Bliek, Sebastian Troia, Tias Guns, Sicco Verwer, Guido Maier
2022 J jnl
Cost-sensitive learning for profit-driven credit scoring.
J. Oper. Res. Soc.
George Petrides, Darie Moldovan, Lize Coenen, Tias Guns, Wouter Verbeke
2022 A* conf
Decision-Focused Learning: Through the Lens of Learning to Rank.
ICML
Jayanta Mandi, Víctor Bucarey, Maxime Mulamba Ke Tchomba, Tias Guns
2022 — conf
From Inductive Databases to a Modeling Language for Pattern Mining, to a Next-Generation Library for Constraint Solving (extended abstract).
KDID
Tias Guns
2022 A conf
Learning Constraint Programming Models from Data Using Generate-And-Aggregate.
CP
Mohit Kumar, Samuel Kolb, Tias Guns
2022 A conf
Learning MAX-SAT Models from Examples Using Genetic Algorithms and Knowledge Compilation.
CP
Senne Berden, Mohit Kumar, Samuel Kolb, Tias Guns
2022 J jnl
Learning to Rank for Uplift Modeling.
IEEE Trans. Knowl. Data Eng.
Floris Devriendt, Jente Van Belle, Tias Guns, Wouter Verbeke
2022 J jnl
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens.
CoRR
Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini
2022 J jnl
Machine learning methods for short-term probability of default: A comparison of classification, regression and ranking methods.
J. Oper. Res. Soc.
Lize Coenen, Wouter Verbeke, Tias Guns
2022 B conf
Model-Based Algorithm Configuration with Adaptive Capping and Prior Distributions.
CPAIOR
Ignace Bleukx, Senne Berden, Lize Coenen, Nicholas Decleyre, Tias Guns
2022 J jnl
Probability estimation and structured output prediction for learning preferences in last mile delivery.
CoRR
Rocsildes Canoy, Victor Bucarey, Yves Molenbruch, Maxime Mulamba, Jayanta Mandi, Tias Guns
2021 J jnl
A framework for step-wise explaining how to solve constraint satisfaction problems.
Artif. Intell.
Bart Bogaerts, Emilio Gamba, Tias Guns
2021 A* conf
Contrastive Losses and Solution Caching for Predict-and-Optimize.
IJCAI
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
2021 A conf
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP.
CP
Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey, Tias Guns
2021 J jnl
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP.
CoRR
Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey, Tias Guns
2021 A* conf
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization.
IJCAI
Emilio Gamba, Bart Bogaerts, Tias Guns
2021 J jnl
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization.
CoRR
Emilio Gamba, Bart Bogaerts, Tias Guns
2021 A* conf
Knowledge Refactoring for Inductive Program Synthesis.
AAAI
Sebastijan Dumancic, Tias Guns, Andrew Cropper
2021 J jnl
Learn-n-Route: Learning implicit preferences for vehicle routing.
CoRR
Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Tias Guns
2021 J jnl
Predict and Optimize: Through the Lens of Learning to Rank.
CoRR
Jayanta Mandi, Víctor Bucarey, Maxime Mulamba, Tias Guns
2021 B conf
Prediction-Based Fleet Relocation for Free Floating Car Sharing Services.
ICTAI
Gregory Martin, Matthieu Donain, Élisa Fromont, Tias Guns, Laurence Rozé, Alexandre Termier
2021 J jnl
Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains.
Eur. J. Oper. Res.
Jente Van Belle, Tias Guns, Wouter Verbeke
2020 J jnl
A framework for step-wise explaining how to solve constraint satisfaction problems.
CoRR
Bart Bogaerts, Emilio Gamba, Tias Guns
2020 J jnl
Discrete solution pools and noise-contrastive estimation for predict-and-optimize.
CoRR
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
2020 A* conf
Dynamic Programming for Predict+Optimise.
AAAI
Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan
2020 A conf
Exploiting Incomparability in Solution Dominance: Improving General Purpose Constraint-Based Mining.
ECAI
Gökberk Koçak, Özgür Akgün, Tias Guns, Ian Miguel
2020 B conf
Hybrid Classification and Reasoning for Image-Based Constraint Solving.
CPAIOR
Maxime Mulamba, Jayanta Mandi, Rocsildes Canoy, Tias Guns
2020 J jnl
Hybrid Classification and Reasoning for Image-based Constraint Solving.
CoRR
Maxime Mulamba, Jayanta Mandi, Rocsildes Canoy, Tias Guns
2020 A* conf
Interior Point Solving for LP-based prediction+optimisation.
NeurIPS
Jayanta Mandi, Tias Guns
2020 J jnl
Interior Point Solving for LP-based prediction+optimisation.
CoRR
Jayanta Mandi, Tias Guns
2020 J jnl
Learning to rank for uplift modeling.
CoRR
Floris Devriendt, Tias Guns, Wouter Verbeke
2020 B conf
Probability of default estimation, with a reject option.
DSAA
Lize Coenen, Ahmed K. A. Abdullah, Tias Guns
2020 A* conf
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems.
AAAI
Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns
2020 A conf
Step-Wise Explanations of Constraint Satisfaction Problems.
ECAI
Bart Bogaerts, Emilio Gamba, Jens Claes, Tias Guns
2019 B conf
An Investigation into Prediction + Optimisation for the Knapsack Problem.
CPAIOR
Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns
2019 A* conf
Learning Relational Representations with Auto-encoding Logic Programs.
IJCAI
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
2019 J jnl
Learning Relational Representations with Auto-encoding Logic Programs.
CoRR
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
2019 J jnl
Monitoring Urban-Freight Transport Based on GPS Trajectories of Heavy-Goods Vehicles.
IEEE Trans. Intell. Transp. Syst.
Sheida Hadavi, Sara Verlinde, Wouter Verbeke, Cathy Macharis, Tias Guns
2019 A* conf
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions.
IJCAI
Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns
2019 J jnl
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems.
CoRR
Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns
2019 J jnl
Towards Improving Solution Dominance with Incomparability Conditions: A case-study using Generator Itemset Mining.
CoRR
Gökberk Koçak, Özgür Akgün, Tias Guns, Ian Miguel
2019 — conf
Vehicle Routing by Learning from Historical Solutions.
BNAIC/BENELEARN
Rocsildes Canoy, Tias Guns
2019 A conf
Vehicle Routing by Learning from Historical Solutions.
CP
Rocsildes Canoy, Tias Guns
2019 J jnl
Vehicle routing by learning from historical solutions.
CoRR
Rocsildes Canoy, Tias Guns
2019 — conf
ZebraTutor: Explaining How to Solve Logic Grid Puzzles.
BNAIC/BENELEARN
Jens Claes, Bart Bogaerts, Rocsildes Canoy, Emilio Gamba, Tias Guns
2018 B conf
Finding Probabilistic Rule Lists using the Minimum Description Length Principle.
DS
John O. R. Aoga, Tias Guns, Siegfried Nijssen, Pierre Schaus
2018 J jnl
Solution Dominance over Constraint Satisfaction Problems.
CoRR
Tias Guns, Peter J. Stuckey, Guido Tack
2017 A conf
CoverSize: A Global Constraint for Frequency-Based Itemset Mining.
CP
Pierre Schaus, John O. R. Aoga, Tias Guns
2017 — conf
Generic Mining of Condensed Pattern Representations under Constraints.
YSIP
Sergey Paramonov, Tao Chen, Tias Guns
2017 J jnl
Introduction to the special issue on Combining Constraint Solving with Mining and Learning.
Artif. Intell.
Andrea Passerini, Guido Tack, Tias Guns
2017 J jnl
Learning constraints in spreadsheets and tabular data.
Mach. Learn.
Samuel Kolb, Sergey Paramonov, Tias Guns, Luc De Raedt
2017 J jnl
Mining Time-constrained Sequential Patterns with Constraint Programming.
Constraints An Int. J.
John O. R. Aoga, Tias Guns, Pierre Schaus
2017 J jnl
MiningZinc: A declarative framework for constraint-based mining.
Artif. Intell.
Tias Guns, Anton Dries, Siegfried Nijssen, Guido Tack, Luc De Raedt
2017 A* conf
Stochastic Constraint Programming with And-Or Branch-and-Bound.
IJCAI
Behrouz Babaki, Tias Guns, Luc De Raedt
2017 A conf
TaCLe: Learning Constraints in Tabular Data.
CIKM
Sergey Paramonov, Samuel Kolb, Tias Guns, Luc De Raedt
2017 J jnl
The Inductive Constraint Programming Loop.
IEEE Intell. Syst.
Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis
2016 — conf
An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming.
ECML/PKDD (2)
John O. R. Aoga, Tias Guns, Pierre Schaus
2016 J jnl
An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming.
CoRR
John O. R. Aoga, Tias Guns, Pierre Schaus
2016 A* conf
Direct Mining of Subjectively Interesting Relational Patterns.
ICDM
Tias Guns, Achille Aknin, Jefrey Lijffijt, Tijl De Bie
2016 — ch.
Learning Constraint Satisfaction Problems: An ILP Perspective.
Data Mining and Constraint Programming
Luc De Raedt, Anton Dries, Tias Guns, Christian Bessiere
2016 — ch.
Modeling in MiningZinc.
Data Mining and Constraint Programming
Anton Dries, Tias Guns, Siegfried Nijssen, Behrouz Babaki, Thanh Le Van, Benjamin Négrevergne, Sergey Paramonov, Luc De Raedt
2016 — conf
On Declarative Modeling of Structured Pattern Mining.
AAAI Workshop: Declarative Learning Based Programming
Tias Guns, Sergey Paramonov, Benjamin Négrevergne
2016 — ch.
Partition-Based Clustering Using Constraint Optimization.
Data Mining and Constraint Programming
Valerio Grossi, Tias Guns, Anna Monreale, Mirco Nanni, Siegfried Nijssen
2016 A conf
Repetitive Branch-and-Bound Using Constraint Programming for Constrained Minimum Sum-of-Squares Clustering.
ECAI
Tias Guns, Thi-Bich-Hanh Dao, Christel Vrain, Khanh-Chuong Duong
2016 — ch.
The Inductive Constraint Programming Loop.
Data Mining and Constraint Programming
Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis
2016 — conf
Towards generic and efficient constraint-based mining, a constraint programming approach.
EGC
Tias Guns
2015 B conf
Constraint-Based Querying for Bayesian Network Exploration.
IDA
Behrouz Babaki, Tias Guns, Siegfried Nijssen, Luc De Raedt
2015 B conf
Constraint-Based Sequence Mining Using Constraint Programming.
CPAIOR
Benjamin Négrevergne, Tias Guns
2015 J jnl
Constraint-based sequence mining using constraint programming.
CoRR
Benjamin Négrevergne, Tias Guns
2015 J jnl
Declarative pattern mining using constraint programming.
Constraints An Int. J.
Tias Guns
2015 A conf
MiniSearch: A Solver-Independent Meta-Search Language for MiniZinc.
CP
Andrea Rendl, Tias Guns, Peter J. Stuckey, Guido Tack
2015 J jnl
The Inductive Constraint Programming Loop.
CoRR
Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis
2014 B conf
Constrained Clustering Using Column Generation.
CPAIOR
Behrouz Babaki, Tias Guns, Siegfried Nijssen
2013 A* conf
Dominance Programming for Itemset Mining.
ICDM
Benjamin Négrevergne, Anton Dries, Tias Guns, Siegfried Nijssen
2013 A* conf
MiningZinc: A Modeling Language for Constraint-Based Mining.
IJCAI
Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt
2013 — conf
The MiningZinc Framework for Constraint-Based Itemset Mining.
ICDM Workshops
Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt
2013 J jnl
k-Pattern Set Mining under Constraints.
IEEE Trans. Knowl. Data Eng.
Tias Guns, Siegfried Nijssen, Luc De Raedt
2012 — conf
Mining Local Staircase Patterns in Noisy Data.
ICDM Workshops
Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal
2011 — conf
Constraint-Based Pattern Mining in Multi-relational Databases.
ICDM Workshops
Siegfried Nijssen, Aída Jiménez, Tias Guns
2011 — conf
Declarative Heuristic Search for Pattern Set Mining.
ICDM Workshops
Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt
2011 — conf
Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework.
PAKDD (2)
Tias Guns, Siegfried Nijssen, Luc De Raedt
2011 J jnl
Itemset mining: A constraint programming perspective.
Artif. Intell.
Tias Guns, Siegfried Nijssen, Luc De Raedt
2010 — conf
Cis-regulatory module detection using constraint programming.
BIBM
Tias Guns, Hong Sun, Kathleen Marchal, Siegfried Nijssen
2010 A* conf
Constraint Programming for Data Mining and Machine Learning.
AAAI
Luc De Raedt, Tias Guns, Siegfried Nijssen
2010 — ch.
Generalizing Itemset Mining in a Constraint Programming Setting.
Inductive Databases and Constraint-Based Data Mining
Jérémy Besson, Jean-François Boulicaut, Tias Guns, Siegfried Nijssen
2010 — conf
Integrating Constraint Programming and Itemset Mining.
ECML/PKDD (2)
Siegfried Nijssen, Tias Guns
2009 A* conf
Correlated itemset mining in ROC space: a constraint programming approach.
KDD
Siegfried Nijssen, Tias Guns, Luc De Raedt
2008 A* conf
Constraint programming for itemset mining.
KDD
Luc De Raedt, Tias Guns, Siegfried Nijssen