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Emir Demirovic
Person information
- affiliation: Delft University of Technology, The Netherlands
- affiliation (former): University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2024
- [c34]Tim Huisman, Jacobus G. M. van der Linden, Emir Demirovic:
Optimal Survival Trees: A Dynamic Programming Approach. AAAI 2024: 12680-12688 - [c33]Konstantin Sidorov, Gonçalo Homem De Almeida Correia, Mathijs de Weerdt, Emir Demirovic:
Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths. AAAI 2024: 20794-20802 - [c32]Emir Demirovic, Ciaran McCreesh, Matthew J. McIlree, Jakob Nordström, Andy Oertel, Konstantin Sidorov:
Pseudo-Boolean Reasoning About States and Transitions to Certify Dynamic Programming and Decision Diagram Algorithms. CP 2024: 9:1-9:21 - [c31]Maarten Flippo, Konstantin Sidorov, Imko Marijnissen, Jeff Smits, Emir Demirovic:
A Multi-Stage Proof Logging Framework to Certify the Correctness of CP Solvers. CP 2024: 11:1-11:20 - [c30]Mim van den Bos, Jacobus G. M. van der Linden, Emir Demirovic:
Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach. ICML 2024 - [i8]Tim Huisman, Jacobus G. M. van der Linden, Emir Demirovic:
Optimal Survival Trees: A Dynamic Programming Approach. CoRR abs/2401.04489 (2024) - [i7]Emir Demirovic, Christian Schilling, Anna Lukina:
In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search. CoRR abs/2409.03260 (2024) - [i6]Jacobus G. M. van der Linden, Daniël Vos, Mathijs Michiel de Weerdt, Sicco Verwer, Emir Demirovic:
Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance. CoRR abs/2409.12788 (2024) - 2023
- [j6]Nicolas Schwind, Emir Demirovic, Katsumi Inoue, Jean-Marie Lagniez:
Algorithms for partially robust team formation. Auton. Agents Multi Agent Syst. 37(2): 22 (2023) - [c29]Matthias Horn, Emir Demirovic, Neil Yorke-Smith:
Parallel Batch Processing for the Coating Problem. ICAPS 2023: 171-179 - [c28]Matthias Horn, Emir Demirovic, Neil Yorke-Smith:
Solving the Multi-Choice Two Dimensional Shelf Strip Packing Problem with Time Windows. ICAPS 2023: 491-499 - [c27]Emir Demirovic, Emmanuel Hebrard, Louis Jean:
Blossom: an Anytime Algorithm for Computing Optimal Decision Trees. ICML 2023: 7533-7562 - [c26]Christian Schilling, Anna Lukina, Emir Demirovic, Kim Guldstrand Larsen:
Safety Verification of Decision-Tree Policies in Continuous Time. NeurIPS 2023 - [c25]Jacobus G. M. van der Linden, Mathijs de Weerdt, Emir Demirovic:
Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming. NeurIPS 2023 - [i5]Jacobus G. M. van der Linden, Mathijs Michiel de Weerdt, Emir Demirovic:
Optimal Decision Trees for Separable Objectives: Pushing the Limits of Dynamic Programming. CoRR abs/2305.19706 (2023) - 2022
- [j5]Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey:
MurTree: Optimal Decision Trees via Dynamic Programming and Search. J. Mach. Learn. Res. 23: 26:1-26:47 (2022) - [c24]Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey:
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. AAAI 2022: 3749-3757 - [c23]Geert L. J. Pingen, Christian R. van Ommeren, Cornelis J. van Leeuwen, Ruben W. Fransen, Tijmen Elfrink, Yorick C. de Vries, Janarthanan Karunakaran, Emir Demirovic, Neil Yorke-Smith:
Talking Trucks: Decentralized Collaborative Multi-Agent Order Scheduling for Self-Organizing Logistics. ICAPS 2022: 480-489 - [c22]Jacobus G. M. van der Linden, Mathijs de Weerdt, Emir Demirovic:
Fair and Optimal Decision Trees: A Dynamic Programming Approach. NeurIPS 2022 - [c21]Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Rao Kotagiri:
Modelling Zeros in Blockmodelling. PAKDD (2) 2022: 187-198 - 2021
- [c20]Emir Demirovic, Peter J. Stuckey:
Optimal Decision Trees for Nonlinear Metrics. AAAI 2021: 3733-3741 - [c19]Jo Devriendt, Stephan Gocht, Emir Demirovic, Jakob Nordström, Peter J. Stuckey:
Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with Cutting Planes Reasoning. AAAI 2021: 3750-3758 - [c18]Nicolas Schwind, Emir Demirovic, Katsumi Inoue, Jean-Marie Lagniez:
Partial Robustness in Team Formation: Bridging the Gap between Robustness and Resilience. AAMAS 2021: 1154-1162 - [c17]Ronald van Driel, Emir Demirovic, Neil Yorke-Smith:
Learning Variable Activity Initialisation for Lazy Clause Generation Solvers. CPAIOR 2021: 62-71 - 2020
- [c16]Emir Demirovic, Nicolas Schwind:
Representative Solutions for Bi-Objective Optimisation. AAAI 2020: 1436-1443 - [c15]Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan:
Dynamic Programming for Predict+Optimise. AAAI 2020: 1444-1451 - [c14]Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns:
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems. AAAI 2020: 1603-1610 - [c13]Graeme Gange, Jeremias Berg, Emir Demirovic, Peter J. Stuckey:
Core-Guided and Core-Boosted Search for CP. CPAIOR 2020: 205-221 - [c12]Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic:
Improving Single and Multi-View Blockmodelling by Algebraic Simplification. IJCNN 2020: 1-7 - [d1]Jo Devriendt, Stephan Gocht, Emir Demirovic, Jakob Nordström, Peter J. Stuckey:
Experimental Repository for "Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with Cutting Planes Reasoning". Zenodo, 2020 - [i4]Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey:
MurTree: Optimal Classification Trees via Dynamic Programming and Search. CoRR abs/2007.12652 (2020) - [i3]Emir Demirovic, Peter J. Stuckey:
Optimal Decision Trees for Nonlinear Metrics. CoRR abs/2009.06921 (2020) - [i2]Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey:
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize. CoRR abs/2012.02342 (2020)
2010 – 2019
- 2019
- [j4]Emir Demirovic, Nysret Musliu, Felix Winter:
Modeling and solving staff scheduling with partial weighted maxSAT. Ann. Oper. Res. 275(1): 79-99 (2019) - [c11]Felix Winter, Nysret Musliu, Emir Demirovic, Christoph Mrkvicka:
Solution Approaches for an Automotive Paint Shop Scheduling Problem. ICAPS 2019: 573-581 - [c10]Emir Demirovic, Peter J. Stuckey:
Techniques Inspired by Local Search for Incomplete MaxSAT and the Linear Algorithm: Varying Resolution and Solution-Guided Search. CP 2019: 177-194 - [c9]Jeremias Berg, Emir Demirovic, Peter J. Stuckey:
Core-Boosted Linear Search for Incomplete MaxSAT. CPAIOR 2019: 39-56 - [c8]Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns:
An Investigation into Prediction + Optimisation for the Knapsack Problem. CPAIOR 2019: 241-257 - [c7]Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns:
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. IJCAI 2019: 1078-1085 - [i1]Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns:
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems. CoRR abs/1911.10092 (2019) - 2018
- [c6]Emir Demirovic, Nicolas Schwind, Tenda Okimoto, Katsumi Inoue:
Recoverable Team Formation: Building Teams Resilient to Change. AAMAS 2018: 1362-1370 - [c5]Emir Demirovic, Geoffrey Chu, Peter J. Stuckey:
Solution-Based Phase Saving for CP: A Value-Selection Heuristic to Simulate Local Search Behavior in Complete Solvers. CP 2018: 99-108 - [c4]Emir Demirovic, Peter J. Stuckey:
Constraint Programming for High School Timetabling: A Scheduling-Based Model with Hot Starts. CPAIOR 2018: 135-152 - [c3]Tenda Okimoto, Nicolas Schwind, Emir Demirovic, Katsumi Inoue, Pierre Marquis:
Robust Coalition Structure Generation. PRIMA 2018: 140-157 - 2017
- [j3]Emir Demirovic, Nysret Musliu:
Modeling high school timetabling with bitvectors. Ann. Oper. Res. 252(2): 215-238 (2017) - [j2]Emir Demirovic, Nysret Musliu:
MaxSAT-based large neighborhood search for high school timetabling. Comput. Oper. Res. 78: 172-180 (2017) - [c2]Emir Demirovic:
SAT-Based Approaches for the General High School Timetabling Problem. IJCAI 2017: 5175-5176 - 2012
- [j1]Haris Gavranovic, Mirsad Buljubasic, Emir Demirovic:
Variable Neighborhood Search for Google Machine Reassignment problem. Electron. Notes Discret. Math. 39: 209-216 (2012) - [c1]Emir Demirovic, Haris Gavranovic:
An Efficient Method for Solving UNSAT 3-SAT and Similar Instances via Static Decomposition - (Poster Presentation). SAT 2012: 489-490
Coauthor Index
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last updated on 2024-10-18 20:27 CEST by the dblp team
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