Christos Sardianos

Orcid: 0000-0001-7262-7310

According to our database1, Christos Sardianos authored at least 36 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study.
CoRR, 2024

Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions.
IEEE Access, 2024

2023
Using big data and federated learning for generating energy efficiency recommendations.
Int. J. Data Sci. Anal., September, 2023

Recommender systems with real-life applications
PhD thesis, 2023

Current Challenges and Future Research Directions in Multimodal Explainable Artificial Intelligence.
ERCIM News, 2023

AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Blockchain-based recommender systems: Applications, challenges and future opportunities.
Comput. Sci. Rev., 2022

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

2021
A Micro-Moment System for Domestic Energy Efficiency Analysis.
IEEE Syst. J., 2021

A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects.
Inf. Fusion, 2021

The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency.
Int. J. Intell. Syst., 2021

Stop-and-move sequence expressions over semantic trajectories.
Int. J. Geogr. Inf. Sci., 2021


A novel similarity measure for multiple aspect trajectory clustering.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

A driving profile recommender system for autonomous driving using sensor data and reinforcement learning.
Proceedings of the PCI 2021: 25th Pan-Hellenic Conference on Informatics, Volos, Greece, November 26, 2021


2020
REHAB-C: Recommendations for Energy HABits Change.
Future Gener. Comput. Syst., 2020

The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency.
CoRR, 2020

Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations.
IEEE Access, 2020

Real-time personalised energy saving recommendations.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

On the Applicability of 2D Local Binary Patterns for Identifying Electrical Appliances in Non-intrusive Load Monitoring.
Proceedings of the Intelligent Systems and Applications, 2020

A model for predicting room occupancy based on motion sensor data.
Proceedings of the IEEE International Conference on Informatics, 2020

Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency.
Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020

2019
The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving.
IEEE Syst. J., 2019

Optimizing Parallel Collaborative Filtering Approaches for Improving Recommendation Systems Performance.
Inf., 2019

A Framework for the Detection of Search and Rescue Patterns Using Shapelet Classification.
Future Internet, 2019

Boosting Domestic Energy Efficiency Through Accurate Consumption Data Collection.
Proceedings of the 2019 IEEE SmartWorld, 2019

"I Want to ... Change": Micro-moment based Recommendations can Change Users' Energy Habits.
Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems, 2019

Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study.
Proceedings of the Smart Cities, Green Technologies and Intelligent Transport Systems, 2019

Smart Energy Usage and Visualization Based on Micro-moments.
Proceedings of the Intelligent Systems and Applications, 2019

2018
Detecting Search and Rescue Missions from AIS Data.
Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

Extracting User Habits from Google Maps History Logs.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
PaloPro: a platform for knowledge extraction from big social data and the news.
Int. J. Big Data Intell., 2017

Scaling Collaborative Filtering to Large-Scale Bipartite Rating Graphs Using Lenskit and Spark.
Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

2015
Argument Extraction from News.
Proceedings of the 2nd Workshop on Argumentation Mining, 2015

2014
A scalable solution for personalized recommendations in large-scale social networks.
Proceedings of the 18th Panhellenic Conference on Informatics, 2014


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