Výsledky vyhledávání - "Demirović, E."

Talking Trucks: Decentralized Collaborative Multi-Agent Order Scheduling for Self-Organizing Logistics

Autor: Pingen, Geert L.J., van Ommeren, Christian R., van Leeuwen, Cornelis J., Fransen, Ruben W., Elfrink, Tijmen, de Vries, Yorick C., Karunakaran, Janarthanan, Demirović, E., Yorke-Smith, N., Kumar, Akshat, Thiebaux, Sylvie, Varakantham, Pradeep, Yeoh, William

Publikováno v: Proceedings of the 32nd International Conference on Automated Planning and Scheduling, ICAPS 2022

Logistics planning is a complex optimization problem involving multiple decision makers. Automated scheduling systems offer support to human planners; however state-of-the-art approaches often employ a centralized control paradigm. While these approa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c73ab2ef058e7ccb4ccd266f9da0c32a
https://doi.org/10.1609/icaps.v32i1.19834

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Fair and Optimal Decision Trees: A Dynamic Programming Approach

Autor: van der Linden, J.G.M., de Weerdt, M.M., Demirović, E., Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A.

Publikováno v: Advances in Neural Information Processing Systems 35 (NeurIPS 2022): 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

Interpretable and fair machine learning models are required for many applications, such as credit assessment and in criminal justice. Decision trees offer this interpretability, especially when they are small. Optimal decision trees are of particular

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::eb763004fdad38063cc95859b4f3ed47
http://resolver.tudelft.nl/uuid:fc510292-c656-46a2-855e-1bf9b71a051a

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MurTree: Optimal Decision Trees via Dynamic Programming and Search

Autor: Demirović, E., Lukina, A., Hebrard, E., Jeffrey Chan, Bailey, J., Leckie, C., Ramamohanarao, K., Stuckey, P. J.

Publikováno v: Journal of Machine Learning Research
Journal of Machine Learning Research, 2022, 23 (26), pp.1-47
Scopus-Elsevier
Journal of Machine Learning Research, 23(26)

International audience; Decision tree learning is a widely used approach in machine learning, favoured in applications that require concise and interpretable models. Heuristic methods are traditionally used to quickly produce models with reasonably h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::49251c1929a248b74b8f2560ff4632a8
https://hal.laas.fr/hal-03597741/file/20-520.pdf

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Partial Robustness in Team Formation: Bridging the Gap between Robustness and Resilience

Autor: Schwind, Nicolas, Inoue, Katsumi, Demirović, E.

Publikováno v: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems

Team formation is the problem of deploying the least expensive team of agents while covering a set of skills. Once a team has been formed, some of the agents considered at start may be finally defective and some skills may become uncovered. Two solut

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http://resolver.tudelft.nl/uuid:d60730cd-3882-4ca0-b475-5613c57968c4

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Learning Variable Activity Initialisation for Lazy Clause Generation Solvers

Autor: van Driel, Ronald, Demirović, E., Yorke-Smith, N., Stuckey, Peter J.

Publikováno v: Integration of Constraint Programming, Artificial Intelligence, and Operations Research-18th International Conference, CPAIOR 2021, Proceedings: 18th International Conference Proceedings
Integration of Constraint Programming, Artificial Intelligence, and Operations Research-18th International Conference, CPAIOR 2021, Proceedings
Integration of Constraint Programming, Artificial Intelligence, and Operations Research ISBN: 9783030782290
CPAIOR

Contemporary research explores the possibilities of integrating machine learning (ML) approaches with traditional combinatorial optimisation solvers. Since optimisation hybrid solvers, which combine propositional satisfiability (SAT) and constraint p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::358223edc2ae0a672754af581a7a9fff
http://resolver.tudelft.nl/uuid:561e8938-1258-4128-9e7c-ace92eec18a0

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