Trefwoorden:
- · Trust · Blockchain · Clinical Trials
- Abstract Framework
- accelerometer
- Access Control
- Agent data privacy
- agent chatbots
- Agent data interactions
- Agent Environment
- Agent Local Scheduler
- agent-based chatbots
- Agent-based Virtual Assistants
- Agreement technologies
- Ambient Assisted Living
- Anonymity
- anonymization
- Argumentation
- Artificial Institutions
- artificial intelligence
- artificial snow optimization
- Assistive Systems
- Automated TDM
- binary neural networks
- blockchain
- blood glucose monitoring
- bots
- Carbohydrates
- CDA Document
- Cessation
- ChatBot
- Chatbot Framework
- chatbots
- Chist-Era IV
- clinical data
- clinical information system
- clinical-trials
- Complex patient
- Component-based system development
- compressive sensing
- Computational persuasioneHealthBehavior changeEthicsLegal implicationsSystematic literature review
- Constraint Satisfaction
- contextualized recommendation
- conversational agent.
- conversational agents
- Cooperative Agents
- Coordination
- COPD
- CPS
- Cyber-Physical Systems
- Data privacy
- Data Integration
- Data Protection.
- Deadline Miss Ratio
- Deadline Missing-Rate
- Decentralisation
- Decentralized healthcare data
- Decision-system
- Deep Learning
- Diabetes
- Diabetes management Wearable devices Glucose ECG Accelerometers Annotated food pictures
- Diabetes Monitoring
- Diabetes type 2
- Diagnostic aid
- Dimensionality reduction
- Distributed Agent Environments
- Distributed systems
- Document Exchange
- Dossier Patient
- Drills Evacuation
- Dynamic Consent Management
- Dynamic Data Aggregation
- dynamic EHR
- dynamic health record exchange
- Dynamic Informed Consent
- e-Health Interoperability
- e-tourism
- ECG
- eHealth
- EHR
- Electronic Health Records
- Emergency simulation User behavio
- EMR
- Energy Markets
- environment
- Ethical Nutrition Virtual Coaching
- ethics
- eTourism
- evaluation
- Event Calculus
- Expectation
- explainability
- Explainable AI
- explainable artificial intelligence
- eXplainable Artificial Intelligence (XAI)
- eXplainable Autonomous Agents
- eXplainable BDI model
- eXplanable AI
- Feature ranking
- features
- flows
- food chatbot
- framework
- General Regression Neural Network
- geo-fencing
- Gestational Diabetes Mellitus
- Global explainability
- global explanations
- goal-based XAI
- graphs
- grid search
- Guidelines
- health interoperability standards
- health support
- Healthcare
- Heterogeneous data processing
- Home Care Services
- Hospital
- hospitality
- HPV status explanation. TNM explanation
- human in the loop
- Hypoglycemia
- IHE
- Immersive Virtual Reality
- Industry focus group
- Informatics
- Informatique médicale
- Innovation
- Insulin
- Integrating the Healthcare Enterprize
- Intelligent Agents
- Interopérabilité.
- Interoperability
- interpretability
- IoT
- Kernel methods
- large - scale systems
- LBA
- Local explainability
- Local explainability · Global explainability · Feature rank- ing · rule extraction
- location-based services
- Logic Programming
- machine learning
- MAS
- MAS analysis
- MAS negotiation timing compliant
- MAS Simulator
- Medical
- Medicine identification technologies
- Metadata
- Methodology
- Middleware
- mobile platforms
- Modular architecture
- multi - agent systems
- Multi-agent based simulation
- Multi-Agent Simulator
- Multi-Agent Systems
- Multi-label classification
- Multiagent simulation
- multiagent simulations
- Multiagent system
- Negotiation
- Norm
- Normative Systems
- nutrition coaching
- Nutrition Coaching Legal Concerns
- Open source
- open systems
- Organization
- OWL
- Peer-to-peer systems
- Performance Analysis
- Personal data streams
- Personal Health Systems
- Personalisation
- personalized medicine
- personalized virtual assistant
- Persuasion
- pervasive computing
- Pervasive Healthcare
- physiological signals
- Planning
- point of interest
- Pre-Experiment
- Prediction
- Preference modeling
- Privacy
- privacy agents
- Privacy ontologies
- Pseudonymization
- python
- Quasi-Experiment
- queues
- radiation oncology
- real-time MAS
- Real-time Multi-agent systems
- Real-time multi-agent systems · RT-MAS · Timing predictability · Timing reliability
- Real-Time Negotiation
- Real-Time Scheduler
- real-time systems
- recommender systems
- Records
- Reputation
- review
- rule extraction
- rules extraction
- rules induction
- scalability
- Scheduling Algorithms
- Scheduling Simulation
- SCRUM
- Security
- Self-Healing
- self-management
- Self-Organization
- Semantic
- Semantic agents
- Semantic Interoperability
- Semantic streams
- semantic web
- Semantic Web Services
- Semantic Web.
- sensors
- Service Composition
- service design
- service directories
- Service Oriented
- Shift Planning
- ski area
- Smart Contracts
- Smoking
- smoking cessation
- Snowmaking
- Social chatbots
- Social Networks
- Software Engineering
- spatial prediction
- Standards
- Startup assessment
- supply-chains
- Survival analysis
- sustainability
- Systematic Literature Review
- Systematic Review
- Systèmes d’Information
- Systems
- Task-Set Generator
- Telemedicine
- telerehabilitation
- textile
- Timing-Reliability
- tourism
- Tourism academia
- Tourism industry
- traceability
- transparency
- Trust
- TuCSoN
- Tuple Space
- UAV
- Uncertainty reasoning
- understandability
- Universal Design
- User Study
- Validation
- Virtual Agents
- Virtual Assistants
- virtual nursing intervention
- vital signs
- wearable Multi-agent systems
- XAI
- XMAS
Publicaties van Michael Schumacher gesorteerd op eerste auteur
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| , , , , en , The Good, the Bad, and the Ethical Implications of Bridging Blockchain and Multi-Agent Systems (2019), in: Information (ISSN 2078-2489) |
[DOI] |
| , , , , , en , 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] |
| , , , , , , en , Ethical and Legal Considerations for Nutrition Virtual Coaches Ethical and Legal Considerations for Nutrition Virtual Coaches (2022), in: AI and Ethics |
[DOI] [URL] |
| , , , , , , , en , Computational persuasion technologies, explainability, and ethical-legal implications: A systematic literature review (2025), in: Computers in Human Behavior Reports, 17(100577) |
[DOI] [URL] |
| , , , , en , Real‑time multi‑agent systems: rationality, formal model, and empirical results (2021), in: Autonomous Agents and Multi-Agent Systems |
[DOI] |
| , en , Social Network Chatbots for Smoking Cessation:Towards a Multi-Agent Framework, in: In proceedings of International Conference on Web and Social Media 2018, 2018 |
| , , , en , Multi-Agent Systems and Blockchain: Results from a Systematic Literature Review, in: Proceedings of Practical Applications of Agents and Multi-Agent Systems (PAAMS 2018), pagina's 110-126, Springer, 2018 |
[DOI] |
| , , , en , Trusted Registration, Negotiation, and Service Evaluation in Multi-Agent Systems throughout the Blockchain Technology, 2018 |
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| , , , en , A personalized agent-based chatbot for nutritional coaching, in: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Melbourne, VIC, Australia, pagina's 682–687, ACM, 2021 |
[DOI] [URL] |
| , , , en , Exploring agent-based chatbots: a systematic literature review (2023), in: Journal of Ambient Intelligence and Humanized Computing |
[DOI] [URL] |
| , , , , , en , 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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| , , , , en , Leveraging inter-tourists interactions via chatbots to bridge academia, tourism industries and future societies (2021), in: Journal of Tourism Futures |
[DOI] [URL] |
| , , , , en , The Evolution of Chatbots in Tourism: a Systematic Literature Review, in: Information and Communication Technologies in Tourism (ENTER 2021), 2021 |
[DOI] |
| , , , , , en , Multi-Agent Systems’ Negotiation Protocols for Cyber-Physical Systems: Results from a Systematic Literature Review, in: Proceedings of 10th International conference on agents and artificial intelligence (ICAART 2018), 2018 |
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| , , , en , Trust in Tourism via Blockchain Technology: Results from a Systematic Review, 2019 |
[DOI] [URL] |
| , , , en , Real-Time Multi-Agent Systems for Telerehabilitation Scenarios (2019), in: Artificial Intelligence in Medicine |
[DOI] |
| , , , , , , en , Local Scheduling in Multi-Agent Systems: getting ready for safety-critical scenarios, in: Proceedings of 15th European Conference on Multi-Agent Systems EUMAS 2017, Springer, 2017 |
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| , , , en , The Challenge of Real-Time Multi-Agent Systems for Enabling IoT and CPS (2017), in: in proceedings of IEEE/WIC/ACM International Conference on Web Intelligence (WI'17) |
[DOI] |
| , , , en , Reputation Management in Multi-Agent Systems using Permissioned Blockchain Technology, 2018 |
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| , , , en , Explainable Multi-Agent Systems through Blockchain Technology, 2019 |
[URL] |
| , , , , , en , 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, pagina's 5-16, Springer, 2020 |
[DOI] |
| , en , 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, pagina's 55-67, 2020 |
[DOI] |
| , en , Agent-based Modeling for Ontology-driven Analysis of Patient Trajectories (2020), in: Journal of Medical Systems, 44:9(1-11) |
[DOI] |
| , , , , en , Agent-based systems for telerehabilitation: strengths, limitations and future challenges, in: X Workshop on Agents Applied in Health Care, A2HC 2017, 2017 |
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| , , , en , 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] |
| , , en , Coopération implicite et Performance, in: 6ème colloque de l'Association pour la Recherche Cognitive (ARC), Villeneuve d'Ascq (France), 1996 |
| , , , en , Autonomous Agents: from Concepts to Implementations, in: Proceeding of the 14th European Meeting on Cybernetics and Systems Research (EMCSR '98), Track: From Agent Theory to Agent Implementation, Vienna, Austria, 1998 |
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| , , , , , , en , Exploiter les données du dossier médical informatisé pour améliorer la qualité des soins en ambulatoire (2021), in: Revue Medicale Suisse, 760 |
[URL] |
| , , , , en , Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification, in: Explainable and Transparent AI and Multi-Agent Systems, 2023 |
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| , , , , , , en , A DEXiRE for Extracting Propositional Rules from Neural Networks via Binarization (2022), in: MDPI Electronics, 11:24 |
[DOI] [URL] |
| , en , Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models, in: Post-proceedings of the 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, 2024 |
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| , en , 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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| , , , , , en , L'échange des données de santé entre hôpitaux et acteurs de la santé - le projet MediCoordination (2014), in: Journal de l'Association Suisse des Techniciens en Radiologie Médicale |
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| , , , , , en , MediCoordination - Le projet de développement de l'interopérabilité entre hôpitaux et fournisseurs de soins externes., Clinicum Romandie, 2009 |
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en , Sensor monitoring of physical activity to improve glucose management in diabetic patients: a review (2016), in: Sensors, 16:4
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[DOI] |
| , , en , D1NAMO, A Personal Health System for Glycemic Events Detection, in: Workshop Artificial Intelligence for Diabetes, 22nd European Conference on Artificial Intelligence (ECAI 2016), ECAI, The Hague, Netherlands, 2016 |
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| , en , A Python Framework for Exhaustive Machine Learning Algorithms and Features Evaluations, IEEE, Crans-Montana, Switzerland, pagina's 987-993, 2016 |
[DOI] |
| , en , A Chatbot engine for personalized health support programmes, in: First Workshop on Chatbot held during the International Conference on Web and Social Media 2018, 2018 |
| , , en , Negative results for the prediction of postprandial hypoglycemias from insulin intakes and carbohydrates: analysis and comparison with simulated data, in: Workshop Artificial Intelligence for Diabetes, 16th Conference on Artificial Intelligence in Medicine (AIME 2017), AIME, Vienna, Austria, 2017 |
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| , , , , en , The open D1NAMO dataset: A multi-modal dataset for research on non-invasive type 1 diabetes management (2018), in: Informatics in Medicine Unlocked, 13(92-100) |
[DOI] |
| , , en , Going beyond the relapse peak on social networks smoking cessation programs: ChatBot opportunities (2017), in: Swiss Medical Informatics |
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| , , , , , , , , , , , , , en , ACTION-EHR: Patient-Centric Blockchain-Based Electronic Health Record Data Management for Cancer Care (2020), in: Journal of Medical Internet Research, 22:8 |
[DOI] [URL] |
| , , , en , TUCUXI – An Intelligent System for Personalized Medicine: from Individualization of Treatments to Research Databases and Back, ACM Digital Library, 2017 |
[DOI] |
| , en , Essais Clinique Multicentriques: Transparence et Contrôle de la Qualité Grâce à la Blockchain et aux Systèmes Multi-Agents (2018), in: Swiss Medical Informatics 2018(32) |
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| , , , , , en , Intelligent Healthcare Data Management using Blockchain: Current Limitation and Future Research Agenda, in: Proceedings of the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare, worshop of the 45th International Conference on Very Large Data Bases (VLDB 2019), Springer, 2019 |
[DOI] [URL] |
| , , en , An Agent Framework for Dynamic Health Data Aggregation for Research Purposes, IX Workshop on Agents Applied in Health Care, held in conjunction with AAMAS 2015, 2015 |
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, , , en , A Multiagent System for Dynamic Data Aggregation in Medical Research (2016), in: BioMed Research International, 2016
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[DOI] [URL] |
| , , , , , , en , Privacy Preserving Interoperability for Personalized Medicine (2014), in: Swiss Medical Informatics, 30 |
[URL] |
| , , , en , A Cloud-based eHealth Architecture for Privacy Preserving Data Integration, in: 30th IFIP TC-11 SEC 2015 International Information Security and Privacy Conference, IFIP, Springer Science and Business Media, 2015 |
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