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Christos Sardianos
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2020 – today
- 2024
- [j13]Nikolaos Rodis, Christos Sardianos, Panagiotis I. Radoglou-Grammatikis, Panagiotis G. Sarigiannidis, Iraklis Varlamis, Georgios Th. Papadopoulos:
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions. IEEE Access 12: 159794-159820 (2024) - [i9]Christos Sardianos, Chrysostomos Symvoulidis, Matthias Schlögl, Iraklis Varlamis, Georgios Th. Papadopoulos:
Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study. CoRR abs/2404.15757 (2024) - 2023
- [b1]Christos Sardianos:
Recommender systems with real-life applications. Harokopio University, Greece, 2023 - [j12]Iraklis Varlamis, Christos Sardianos, Christos Chronis, George J. Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Using big data and federated learning for generating energy efficiency recommendations. Int. J. Data Sci. Anal. 16(3): 353-369 (2023) - [c19]Vincenzo Lomonaco, Valerio De Caro, Claudio Gallicchio, Antonio Carta
, Christos Sardianos, Iraklis Varlamis, Konstantinos Tserpes, Massimo Coppola, Mina Marmpena, Sevasti Politi, Erwin Schoitsch, Davide Bacciu:
AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. ICASSP Workshops 2023: 1-5 - [i8]Nikolaos Rodis, Christos Sardianos, Georgios Th. Papadopoulos, Panagiotis I. Radoglou-Grammatikis, Panagiotis G. Sarigiannidis, Iraklis Varlamis:
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions. CoRR abs/2306.05731 (2023) - [i7]Nikolaos Rodis, Christos Sardianos, Georgios Th. Papadopoulos:
Current Challenges and Future Research Directions in Multimodal Explainable Artificial Intelligence. ERCIM News 2023(134) (2023) - 2022
- [j11]Yassine Himeur
Blockchain-based recommender systems: Applications, challenges and future opportunities. Comput. Sci. Rev. 43: 100439 (2022) - [c18]Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. PerCom Workshops 2022: 91-93 - [i6]Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu:
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. CoRR abs/2202.01645 (2022) - 2021
- [j10]Yenier Torres Izquierdo
Stop-and-move sequence expressions over semantic trajectories. Int. J. Geogr. Inf. Sci. 35(4): 793-818 (2021) - [j9]Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira:
The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency. Int. J. Intell. Syst. 36(2): 656-680 (2021) - [j8]Yassine Himeur
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects. Inf. Fusion 72: 1-21 (2021) - [j7]Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali
A Micro-Moment System for Domestic Energy Efficiency Analysis. IEEE Syst. J. 15(1): 1256-1263 (2021) - [c17]Davide Bacciu, Siranush Akarmazyan, Eric Armengaud
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS 2021: 1-6 - [c16]Christos Chronis, Christos Sardianos, Iraklis Varlamis, Dimitrios Michail, Konstantinos Tserpes:
A driving profile recommender system for autonomous driving using sensor data and reinforcement learning. PCI 2021: 33-38 - [c15]Iraklis Varlamis, Christos Sardianos, Vania Bogorny, Luis Otávio Alvares, Jônata Tyska Carvalho
A novel similarity measure for multiple aspect trajectory clustering. SAC 2021: 551-558 - [c14]Georg Macher
Dependable Integration Concepts for Human-Centric AI-Based Systems. SAFECOMP Workshops 2021: 11-23 - [i5]Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji, Faycal Bensaali, Abbes Amira, Christos Sardianos, George Dimitrakopoulos, Iraklis Varlamis:
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects. CoRR abs/2102.07654 (2021) - [i4]Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR abs/2107.06543 (2021) - [i3]Yassine Himeur, Aya Nabil Sayed, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos:
Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities. CoRR abs/2111.11509 (2021) - 2020
- [j6]Abdullah Alsalemi
Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations. IEEE Access 8: 15047-15055 (2020) - [j5]Christos Sardianos
REHAB-C: Recommendations for Energy HABits Change. Future Gener. Comput. Syst. 112: 394-407 (2020) - [c13]Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency. BigDataService 2020: 96-103 - [c12]Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
A model for predicting room occupancy based on motion sensor data. ICIoT 2020: 394-399 - [c11]Yassine Himeur
On the Applicability of 2D Local Binary Patterns for Identifying Electrical Appliances in Non-intrusive Load Monitoring. IntelliSys (3) 2020: 188-205 - [c10]Christos Sardianos, Christos Chronis, Iraklis Varlamis, George Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali
Real-time personalised energy saving recommendations. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 366-371 - [i2]Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira:
Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study. CoRR abs/2010.04693 (2020) - [i1]Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira:
The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency. CoRR abs/2010.04990 (2020)
2010 – 2019
- 2019
- [j4]Konstantinos Kapadais, Iraklis Varlamis
A Framework for the Detection of Search and Rescue Patterns Using Shapelet Classification. Future Internet 11(9): 192 (2019) - [j3]Christos Sardianos
Optimizing Parallel Collaborative Filtering Approaches for Improving Recommendation Systems Performance. Inf. 10(5): 155 (2019) - [j2]Abdullah Alsalemi
The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving. IEEE Syst. J. 13(3): 3376-3387 (2019) - [c9]Abdullah Alsalemi, Faycal Bensaali
Smart Energy Usage and Visualization Based on Micro-moments. IntelliSys (2) 2019: 557-566 - [c8]Christos Sardianos
"I Want to ... Change": Micro-moment based Recommendations can Change Users' Energy Habits. SMARTGREENS 2019: 30-39 - [c7]Christos Sardianos, Iraklis Varlamis
Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study. SMARTGREENS/VEHITS (Selected Papers) 2019: 65-84 - [c6]Abdullah Alsalemi, Mona Ramadan, Faycal Bensaali
Boosting Domestic Energy Efficiency Through Accurate Consumption Data Collection. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1468-1472 - 2018
- [c5]Christos Sardianos
Extracting User Habits from Google Maps History Logs. ASONAM 2018: 690-697 - [c4]Iraklis Varlamis
Detecting Search and Rescue Missions from AIS Data. ICDE Workshops 2018: 60-65 - 2017
- [j1]Nantia Makrynioti, Andreas Grivas, Christos Sardianos, Nikos Tsirakis, Iraklis Varlamis, Vasilis Vassalos, Vassilis Poulopoulos, Panagiotis Tsantilas:
PaloPro: a platform for knowledge extraction from big social data and the news. Int. J. Big Data Intell. 4(1): 3-22 (2017) - [c3]Christos Sardianos
Scaling Collaborative Filtering to Large-Scale Bipartite Rating Graphs Using Lenskit and Spark. BigDataService 2017: 70-79 - 2015
- [c2]Christos Sardianos, Ioannis Manousos Katakis, Georgios Petasis, Vangelis Karkaletsis:
Argument Extraction from News. ArgMining@HLT-NAACL 2015: 56-66 - 2014
- [c1]Christos Sardianos
A scalable solution for personalized recommendations in large-scale social networks. Panhellenic Conference on Informatics 2014: 7:1-7:6
Coauthor Index
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