Palavras-chave:
- 6G networks
- Agent-based and Multi-agent Systems: MAS: Agreement technologies: Negotiation and contract-based systems Agent-based and Multi-agent Systems: MAS: Human-agent interaction
- Agent-based Virtual Assistants
- AI ethics
- Chatbot Framework
- Computational persuasioneHealthBehavior changeEthicsLegal implicationsSystematic literature review
- Data Protection.
- digital rehabilitation
- Dynamic Informed Consent
- Edge Computing
- Effect of Communication Medium
- eHealth
- energy efficiency
- Explainable AI
- Explainable Recommendations
- Explanation Evaluation
- Explanation Strategies
- federated learning
- Food Recommender Systems
- green networking
- Healthcare
- Human-Robot Interaction
- Interactive
- IoT
- Large Language Models
- Large Language Models (LLMs)
- manipulation
- Nutrition virtual coach
- Open RAN
- Personal- ized Recommender Systems
- recommender systems
- semantics
- Synthetic Data Generation \and Explainable AI (XAI)
- User Studies
- User Study
- XAI
Publicações de Berk Buzcu
2026
| and , Advances on Unified Architecture for Open RAN-Enabled Distributed and Scalable 6G Networks, IEEE, 2026 |
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| , and , Energy-Aware Multi-Domain Orchestration Architecture for Sustainable 6G Networks (2026), in: IEEE WONS 2026 |
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2025
| , , , and , Beyond Technical Transparency: Explainability as a Safeguard Against Manipulative AI*, in: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (IEEE MetroXRAINE), IEEE, Ancona (Italy), 2025 |
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| , , , , , , , and , Computational persuasion technologies, explainability, and ethical-legal implications: A systematic literature review (2025), in: Computers in Human Behavior Reports, 17(100577) |
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| , , , and , Consent Understanding and Verification for Personalized Assistive Systems, in: Proceedings of the 17th International Conference on Agents and Artificial Intelligence: ICAART, INSTICC, Porto, Portugal, páginas 694-701, SciTePress, 2025 |
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| , , and , Explaining Federated Learning-based Movie Recommendations, in: IEEE MetroXRAINE 2025, Ancona, IEEE, 2025 |
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| , , and , LLM-based Evaluation Methodology of Explanation Strategies, 2025 |
2024
| , , , , and , A Framework for Explainable Multi-purpose Virtual Assistants: A Nutrition-Focused Case Study, in: In post-proceedings of the 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, páginas 58-78, Springer Nature Switzerland, 2024 |
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| , , , , , and , Effects of Communication Channels on Explainable Food Recommendation Systems, in: In post proceedings of 8th EAI International Conference on Robotic Sensor Networks, páginas 15, 2024 |
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| , , and , Evaluation of the User-centric Explanation Strategies for Interactive Recommenders, in: Post-proceedings in the 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, 2024 |
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| , , , , and , NEGOTIATOR: A Comprehensive Framework for Human-Agent Negotiation Integrating Preferences, Interaction, and Emotion, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track, páginas 8700-8703, International Joint Conferences on Artificial Intelligence Organization, 2024 |
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| , , and , Towards Dynamic Self-Organizing Wearables for Head and Neck Digital Rehabilitation, in: Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems, ACM, 2024 |
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| , , , , , and , Towards interactive explanation-based nutrition virtual coaching systems (2024), in: Autonomous Agents and Multi-Agent Systems |
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2022
| , , , , and , Explanation-Based Negotiation Protocol for Nutrition Virtual Coaching, in: International Conference on Principles and Practice of Multi-Agent Systems, 2022 |
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