Christos Sardianos https://validator.w3.org/feed/docs/rss2.html Hackathon #Apodeiksi MOS Citius Cityfab ICT4Growth $ whoami DemocracIT Resume Contact Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study A driving profile recommender system for autonomous driving using sensor data and reinforcement learning AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving Research Training-Certifications Fortissimo Certs Multiple ASpects TrajEctoRy management and analysis (MASTER) WORKS Publications Archive “I want to…. change”: Micro-moment based recommendations can change users’ energy habits A Framework for the Detection of Search and Rescue Patterns Using Shapelet Classification A novel similarity measure for multiple aspect trajectory clustering Blockchain-based recommender systems: Applications, challenges and future opportunities Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution Smart fusion of sensor data and human feedback for personalized energy-saving recommendations Dependable Integration Concepts for Human-Centric AI-Based Systems TEACHING – Trustworthy autonomous cyber-physical applications through human-centred intelligence A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects Stop and move sequence expressions over semantic trajectories The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency Marketability of building energy efficiency systems based on behavioral change: A case study of a novel micro-moments based solution Real-time personalised energy saving recommendations REHAB-C: Recommendations for Energy HABits Change On the Applicability of 2D Local Binary Patterns for Identifying Electrical Appliances in Non-intrusive Load Monitoring Data analytics, automations, and micro-moment based recommendations for energy efficiency A micro-moment system for domestic energy efficiency analysis A model for predicting room occupancy based on motion sensor data Mining Habitual User Choices from Google Maps History Logs Endorsing domestic energy saving behavior using micro-moment classification Smart Energy Usage and Visualization Based on Micro-moments Boosting Domestic Energy Efficiency Through Accurate Consumption Data Collection Optimizing parallel Collaborative Filtering approaches for improving recommendation systems performance The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving Towards Domestic Energy Efficiency: Using micro-moments for personalized behavior change recommendations 127.0.0.1 Simulating Appliance-based Power consumption Records for Energy Efficiency Awareness Detecting Search and Rescue missions from AIS data Extracting user habits from Google maps history logs A Survey on the Scalability of Recommender Systems for Social Networks BLOG