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Dive into the research topics where Tias Guns is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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FWOAL1002: FRESCO: A FRamework for Explainable Solving and Constraint Optimization
1/01/21 → 31/12/24
Project: Fundamental
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BRGRD51: Joint R&D 2020: " RECONCILE: gReenEr produCtiON sCheduling by automatIcally Learning from Experts"
1/07/20 → 30/06/23
Project: Applied
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IOF3010: GEAR: Transitioning to future sustainable transport systems Supporting a sector in full transition: valorisation of the MOBI expertise
Macharis, C., Van Mierlo, J., Coosemans, T., Hegazy, O., Vanhaverbeke, L., Crispeels, T., Verbeke, W. & Guns, T.
1/01/20 → 31/12/24
Project: Applied
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BRGDOC9: Applied PhD 2019: MISTic: Multi-source trend analytics for intelligent transportation systems
1/01/20 → 31/12/21
Project: Fundamental
Research output
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Contrastive Losses and Solution Caching for Predict-and-Optimize
Mulamba, M., Mandi, J., Diligenti, M., Lombardi, M., Bucarey Lopez, V. & Guns, T., 19 Aug 2021, Contrastive Losses and Solution Caching for Predict-and-Optimize. Zhou, Z-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 2833-2840Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access -
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP
Mandi, J., Canoy, R., Bucarey Lopez, V. & Guns, T., 15 Oct 2021, Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Vol. 210. p. 42:1-42:17 17 p. (Leibniz International Proceedings in Informatics (LIPIcs)).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
Open Access -
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
Gamba, E., Bogaerts, B. & Guns, T., 2021, Efficiently Explaining CSPs with Unsatisfiable Subset Optimization . IJCAI, p. 1381-1388 191Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile6 Downloads (Pure) -
Improving vehicle routing by learning demand uncertainties from historic data: a case study
Mertens, S., Abdullah, A. K. A., Molenbruch, Y., Braekers, K., Caris, A. & Guns, T., 2021.Research output: Unpublished contribution to conference › Unpublished abstract
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TSP with Learned Zone Preferences for Last-Mile Vehicle Dispatching
Canoy, R., Mandi, J., Bucarey Lopez, V., Gamba, E., Mulamba, M. & Guns, T., 2 Sep 2021, Technical Proceedings of the Amazon Last Mile Routing Research Challenge. Winkenbach, M., Parks, S. & Noszek, J. (eds.). MIT Libraries, p. XXX.1-XXX.9Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
Activities
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Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
Emilio Gamba (Speaker), Tias Guns (Contributor), Bart Bogaerts (Contributor)21 Sep 2021Activity: Talk or presentation › Talk or presentation at a workshop/seminar
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Interior Point Solving for LP-based prediction+optimisation
Jayanta Mandi (Speaker), Tias Guns (Speaker)8 Jan 2021Activity: Talk or presentation › Talk or presentation at a workshop/seminar
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Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
Emilio Gamba (Speaker), Tias Guns (Contributor), Bart Bogaerts (Contributor)Aug 2021Activity: Talk or presentation › Talk or presentation at a conference
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Doctoral Program at the 26th International Conference on Principles and Practice of Constraint Programming
Emilio Gamba (Participant), Bart Bogaerts (Supervisor), Tias Guns (Supervisor)7 Sep 2020Activity: Participating in or organising an event › Participation in conference
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Differentiable Optimization Layer with an Interior Point Approach
Jayanta Mandi (Speaker), Tias Guns (Speaker)7 Sep 2020Activity: Talk or presentation › Talk or presentation at a conference
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Thesis
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A Blockchain immigration system for refugees and asylum-seekers in the European Union Zone.
Author: Nava Nuñez, C. A., 2020Supervisor: Guns, T. (Promotor) & Coenen, L. (Jury)
Student thesis: Master's Thesis
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A Distributed Logic Reactive Programming Model: and its Application to Monitoring Security
Author: Renaux, T., 28 Mar 2019Supervisor: De Meuter, W. (Promotor), De Koster, J. (Promotor), Jonckers, V. (Jury), Beuls, K. (Jury), Guns, T. (Jury), De Roover, C. (Jury), Erdweg, S. (External person) (Jury) & Hirschfeld, R. (External person) (Jury)
Student thesis: Doctoral Thesis
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A literature study on Optimization techniques for sustainable internal fleet operation in manufacturing and distribution industry.
Author: Govindasamy Manoharan, S., 2020Supervisor: Guns, T. (Promotor) & Heuninckx, S. (Jury)
Student thesis: Master's Thesis
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Analysis of Customer Purchase Decision Making on EVs - Considering Financial Attribute, Infrastructure Attribute and Technical Attribute.
Author: Ye, W. & Guns, T., 2019Supervisor: Guns, T. (Promotor) & De Clerck, Q. (Jury)
Student thesis: Master's Thesis
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An Exploratory Market Study on the Requirements and Feautures of Vehicle Routing and Scheduling Software in Flanders.
Author: Cardoze, G. R. A., 2020Supervisor: Guns, T. (Promotor) & Pauwelyn, P. (Jury)
Student thesis: Master's Thesis