A Decentralized Token-Based Negotiation Approach for Multi-Agent Path Finding. - Cihan Eran; Mehmet Onur Keskin; Furkan Cantürk; Reyhan Aydogan (EUMAS, 2021)

Explainable Active Learning for Preference Elicitation. - Furkan Cantürk; Reyhan Aydogan (CoRR, 2023)

Symbolic knowledge extraction for explainable nutritional recommenders. - Matteo Magnini; Giovanni Ciatto; Furkan Cantürk; Reyhan Aydogan; Andrea Omicini (Comput. Methods Programs Biomed., 2023)

Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization. - Furkan Cantürk; Taha Varol; Reyhan Aydogan; Okan Örsan Özener (J. Artif. Intell. Res., 2024)

Decentralized multi-agent path finding framework and strategies based on automated negotiation. - Mehmet Onur Keskin; Furkan Cantürk; Cihan Eran; Reyhan Aydogan (Auton. Agents Multi Agent Syst., 2024)