Palavras-chave:
- · Trust · Blockchain · Clinical Trials
- 4-part harmonization
- A2A Registries
- Abstract Framework
- active aging
- Agent data privacy
- agent chatbots
- Agent data interactions
- agent interoperability
- Agent Local Scheduler
- Agent Skills
- Agent-based AI
- agent-based chatbots
- Agent-based Virtual Assistants
- Agent2Agent protocol
- Agentic AI
- Aggregation method resilience
- Aggregation Methods
- AI ethics
- AI Governance
- Algorithmic Accountability
- AML
- Anthropomorphism
- anthropomorphization
- Anti-money laundering
- Argumentation
- artificial intelligence
- Assistive Systems
- auditable AI
- automated energy negotiation
- autonomous agents
- autonomous vehicle
- autonomy
- BDI
- BDI model
- binary neural networks
- Bitcoin
- blockchain
- Blockchain Analytics
- Blockchain Forensics
- bots
- Business Process Management
- ChatBot
- Chatbot Framework
- chatbots
- Chist-Era IV
- CIU
- clinical-trials
- cognitive agents
- Communication Efficiency
- compliance automation
- Computational persuasioneHealthBehavior changeEthicsLegal implicationsSystematic literature review
- contextualized recommendation
- Control Theory
- conversational agent.
- conversational agents
- conversational assistants
- cooperative intelligent transport systems (C-ITS)
- cooperative intersection management
- CPS
- crypto-asset markets
- Cyber-Physical Agents
- Cyber-Physical Systems
- Data privacy
- Data Protection.
- Data-driven models
- Deadline Miss Ratio
- Deadline Missing-Rate
- Decentralisation
- Decision-system
- Deep Learning
- Dependency
- Difficulty assessment
- digital rehabilitation
- Directory Facilitator
- distributed decision-making
- DLT
- Drills Evacuation
- Dynamic Consent
- Dynamic Consent Management
- Dynamic Informed Consent
- Edge Computing
- EEG
- Effect of Communication Medium
- eHealth
- Emergency simulation User behavio
- end-user satisfaction
- energy balancing groups
- Ethical Nutrition Virtual Coaching
- ethics
- eTourism
- eTourism systems
- Event Calculus
- Evolutionary rule extraction
- Expectation
- explainability
- Explainable AI
- explainable artificial intelligence
- eXplainable Artificial Intelligence (XAI)
- eXplainable Autonomous Agents
- eXplainable BDI model
- explainable negotiations
- Explainable Recommendations
- eXplanable AI
- Explanation Evaluation
- explanation formulation
- Explanation Strategies
- FASTER
- Feature ranking
- FedAVG
- federated learning
- FedGP
- Finance
- Financial Fraud
- food chatbot
- Food Recommender Systems
- fraud detection
- Function approximation
- Genetic Programming
- geo-fencing
- Global explainability
- global explanations
- goal-based XAI
- Graph-TemporalFeatures
- health recommender systems
- Healthcare
- Heterogeneous data processing
- Hiking tourism
- hospitality
- HPV status explanation. TNM explanation
- HRI
- human-dignity
- Human-Robot Interaction
- Hybrid AI
- imagination
- Immersive Virtual Reality
- Industry focus group
- inertial sensors
- Informed Consent
- Intelligent Agents
- Interactive
- interpretability
- IoT
- Knowledge Graphs
- Large Language Models
- Large Language Models (LLMs)
- LBA
- limb tracking
- linear model
- LLM-based Agents
- LLMs.
- Local explainability
- Local explainability · Global explainability · Feature rank- ing · rule extraction
- location-based services
- machine learning
- manipulation
- markets in Crypto- Assets Regulation (MiCAR)
- MAS
- MAS analysis
- MAS negotiation timing compliant
- MAS Simulator
- MCP Tools
- Microscopic traffic simulation
- Model Aggregation
- Model Context Protocol
- Models Aggregation
- Modular architecture
- Money laundering typologies
- Multi-agent systems
- Multi-Agent Real-Time BDI Architecture
- Multi-Agent Real-Time BDI Simulation
- Multi-Agent Simulator
- Multi-Agent Systems
- Multi-Agent Systems Real-Time Systems
- Multi-Agents System
- multiagent systems
- Negotiation
- Neuro-Symbolic AI
- NLP
- nutrition coaching
- Nutrition Coaching Legal Concerns
- Nutrition virtual coach
- off-chain due diligence
- one-to-many negotiation mechanism
- Optical Music Recognition
- Performance Analysis
- Personal- ized Recommender Systems
- Personalisation
- Personalized AI
- Personalized Education
- personalized virtual assistant
- Persuasion
- persuasion technology
- Pervasive Healthcare
- point of interest
- Preference modeling
- privacy agents
- Privacy ontologies
- Privacy- preservation
- Quality of Experience
- RDF stream processing
- real-time MAS
- Real-time Multi-agent systems
- Real-time multi-agent systems · RT-MAS · Timing predictability · Timing reliability
- real-time multi-agents
- Real-Time Negotiation
- Real-Time Scheduler
- real-time sensors.
- real-time systems
- recommender systems
- regulatory technology (RegTech)
- Reputation
- review
- road map
- rule compilation \and pedagogical review
- rule extraction
- Rule-based systems
- rules extraction
- rules induction
- scalability
- scheduling
- Scheduling Algorithms
- Scheduling Simulation
- selective attention
- Semantic agents
- Semantic Web.
- semantics
- SHAP
- Skill Discovery
- small language models
- Smart Contracts
- SME Default
- smoking cessation
- Social chatbots
- socio-technical systems
- Software Engineering
- Startup assessment
- stream processing agents
- stream reasoning
- Structured simulations
- Survival analysis
- sustainability
- Synthetic Data Generation \and Explainable AI (XAI)
- Systematic exploration
- Systematic Literature Review
- Systematic Review
- TabNet
- Task-Set Generator
- telerehabilitation
- Temporal Planning
- Timing-Reliability
- tourism
- Tourism academia
- Tourism industry
- Traffic control
- Transaction networks
- Transaction tracing
- transparency
- Trust
- UAV
- Uncertainty reasoning
- understandability
- User Studies
- User Study
- Virtual Agents
- Virtual Assistants
- virtual platooning
- Wallet Classification
- wearable Multi-agent systems
- Web streams
- wireless sensor networks
- XAI
- XAI · Deception · Vulnerability
- XAI · Manipulation · Persuasion
- XAI· responsible AI· anthropomorphization· persuasion· formal- ization
- XAI.
- XMAS
- YOLOv9
Publicações de Davide Calvaresi
2023
| , , , , and , Study-Buddy: A Knowledge Graph-Powered Learning Companion for School Students, in: The Semantic Web: ESWC 2023 Satellite Events, páginas 133--137, Springer Nature Switzerland, 2023 |
[DOI] |
2022
| , , , , , , and , A DEXiRE for Extracting Propositional Rules from Neural Networks via Binarization (2022), in: MDPI Electronics, 11:24 |
[DOI] [URL] |
| , , , , , , , , , , , , , , and , A Global Taxonomy of Interpretable AI: Unifying the Terminology for the Technical and Social Sciences (2022), in: Artificial Intelligence Review, 56(3473–3504) |
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| , , , , , , and , Ethical and Legal Considerations for Nutrition Virtual Coaches Ethical and Legal Considerations for Nutrition Virtual Coaches (2022), in: AI and Ethics |
[DOI] [URL] |
| , , and , Explainable and Transparent AI and Multi-Agent Systems, Springer, 2022 |
[DOI] [URL] |
| , , , , and , Explanation-Based Negotiation Protocol for Nutrition Virtual Coaching, in: International Conference on Principles and Practice of Multi-Agent Systems, 2022 |
[DOI] |
| , and , GB-Flex: Automated and Distributed Decision-Making in Energy Balancing Groups, in: Proceedings of Energy Informatics 2022, 2022 |
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| , and , Human-Social Robots Interaction: the blurred line between necessary anthropomorphization and manipulation, 2022 |
[DOI] |
| , and , Integration of local and global features explanation with global rules extraction and generation tools (2022), in: Post-proceedings of EXTRAAMAS 2022 |
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| , , , , and , Real-Time BDI Agents: A Model and Its Implementation, 2022 |
[DOI] |
| , and , Risk and Exposure of XAI in Persuasion and Argumentation: The case of Manipulation (2022), in: Post-proceedings of EXTRAAMAS 2022 |
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2021
| , , , , , , and , A Human-Agent Architecture for Explanation Formulation, in: proceedings of BNAIC, 2021 |
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| , , , and , A personalized agent-based chatbot for nutritional coaching, in: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Melbourne, VIC, Australia, páginas 682–687, ACM, 2021 |
[DOI] [URL] |
| , , and , A Platform for Difficulty Assessment and Recommendation of Hiking Trails, in: Information and Communication Technologies in Tourism (ENTER 2021), 2021 |
[DOI] |
| , , , and , Cohort and Trajectory Analysis in Multi-Agent Support Systems for Cancer Survivors (2021), in: Journal of Medical Systems, 45:109 |
[DOI] |
| , , , , , and , EREBOTS: Privacy-Compliant Agent-Based Platform for Multi-Scenario Personalized Health-Assistant Chatbots (2021), in: MDPI - Electronics, Special Issue "Autonomous Agents and Multi-Agent Systems Applied in Healthcare" |
[URL] |
| , , , , , and , Expectation: Personalized Explainable ArtificialIntelligence for Decentralized Agents withHeterogeneous Knowledge, in: Proceedings of the 3rd International Workshop on Explainable and Transparent AI and Multi-Agent Systems (EXTRAAMAS 2021), 2021 |
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| , , , , and , Leveraging inter-tourists interactions via chatbots to bridge academia, tourism industries and future societies (2021), in: Journal of Tourism Futures |
[DOI] [URL] |
| , , and , On Explainable Negotiations via Argumentation, in: Proceedings of BNAIC, 2021 |
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| , , , , , , and , One-to-Many Negotiation QoE Management Mechanism for End-user Satisfaction (2021), in: IEEE Access |
[DOI] [URL] |
| , , , , and , ORCHESTRATING TOURISM ACTORS' NETWORK VIA THE "N-1 N+1 TOUCHPOINTS" ALGORITHM: A B2B CHATBOT TO IMPROVE CUSTOMERS JOURNEYS, in: Proceedings of the 19th International Conference e-Society, 2021 |
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| , , , , and , Real‑time multi‑agent systems: rationality, formal model, and empirical results (2021), in: Autonomous Agents and Multi-Agent Systems |
[DOI] |
| , , , and , Study of Context-based Personalized Recommendations for Points of Interest, in: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Melbourne, VIC, Australia, páginas 482–487, ACM, 2021 |
[DOI] [URL] |
| , , , , and , The Evolution of Chatbots in Tourism: a Systematic Literature Review, in: Information and Communication Technologies in Tourism (ENTER 2021), 2021 |
[DOI] |
| , , , , , , and , The Quest of Parsimonious XAI: a Human-Agent Architecture for Explanation Formulation (2021), in: Artificial Intelligence |
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| , , and , To Pay or Not to Pay Attention: Classifying and Interpreting Visual Selective Attention Frequency Features, 2021 |
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| , and , Towards Collaborative Creativity in Persuasive Multi-agent Systems, in: Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, páginas 40-51, Springer, 2021 |
[DOI] |
| , , and , Towards Explainable Visionary Agents: License to Dare and Imagine, in: Explainable and Transparent AI and Multi-Agent Systems EXTRAAMAS 2021, páginas 139--157, Springer, 2021 |
[DOI] |
2020
| , , and , Agent-Based Explanations in AI: Towards an Abstract Framework, in: Post-Proceedings o EXTRAAMAS 2020, Springer, 2020 |
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| , and , Agent-based Modeling for Ontology-driven Analysis of Patient Trajectories (2020), in: Journal of Medical Systems, 44:9(1-11) |
[DOI] |
| , , and , An Abstract Framework for Agent-Based Explanations in AI, in: Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems 2020, 2020 |
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| , and , Decentralized Management of Patient Profiles and Trajectories through Semantic Web Agents, in: Proceedings of the Third International Workshop on Semantic Web Meets Health Data Management (SWH 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), páginas 19--29, CEUR-WS.org, 2020 |
[URL] |
| , , and , Dynamic Consent Management for Clinical Trials via Private Blockchain Technology (2020), in: Journal of Ambient Intelligence and Humanized Computing(1-18) |
[DOI] |
| , , , , , and , Ethical Concerns and Opportunities in Binding Intelligent Systems and Blockchain Technology, in: Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness, The PAAMS Collection, páginas 5-16, Springer, 2020 |
[DOI] |
| , , , and , In-time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap, in: Post-Proceedings o EXTRAAMAS 2020, 2020 |
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| , and , Personal Data Privacy Semantics in Multi-Agent Systems Interactions, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, Aquila, Italy, páginas 55-67, 2020 |
[DOI] |
| and , Real-Time Compliant Stream Processing Agents for Physical Rehabilitation (2020), in: MDPI Sensors 20(3):746 |
[DOI] |
| , , and , RT-BDI: A Real-Time BDI model, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2020 |
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| , , and , SEAMLESS: Simulation and Analysis for Multi-Agent System in Time-Constrained Environments, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, Aquila, Italy, páginas 392-397, Springer, 2020 |
[DOI] |
| , , , , and , Semantic Data Models for Hiking Trail Difficulty Assessment, in: ENTER Information and Communication Technologies in Tourism, páginas 295-306, Springer, 2020 |
[DOI] |
2019
| , , , and , A Startup Assessment Approach based on Multi-Agent and Blockchain Technologies, in: Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS, 2019 |
[DOI] |
| , , and , Explainable agents and robots: Results from a systematic literature review, in: Proceedings of AAMAS 2019, 2019 |
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| , , , and , Explainable Multi-Agent Systems through Blockchain Technology, 2019 |
[URL] |
| , , , and , Real-Time Multi-Agent Systems for Telerehabilitation Scenarios (2019), in: Artificial Intelligence in Medicine |
[DOI] |
| , , , and , Social Network Chatbots for Smoking Cessation: Agent and Multi-Agent Frameworks, 2019 |
[DOI] |
| , and , Stream Reasoning Agents, in: Proceeding of International Conference on Autonomous Agent and Multi-Agent Systems (AAMAS 2019), 2019 |
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| , , , , and , The Good, the Bad, and the Ethical Implications of Bridging Blockchain and Multi-Agent Systems (2019), in: Information (ISSN 2078-2489) |
[DOI] |
| , , and , Towards Profile and Domain Modelling in Agent-based Applications for Behavior Change, in: Proc of the 17th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), páginas 16-28, Springer Verlag, 2019 |
[DOI] |