Charalampos Vassiliou

ORCID: 0000-0002-4210-1008
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About
Contact & Profiles
Research Areas
  • Multimedia Communication and Technology
  • Solar and Space Plasma Dynamics
  • Service-Oriented Architecture and Web Services
  • Recommender Systems and Techniques
  • Video Analysis and Summarization
  • Semantic Web and Ontologies
  • Cancer-related cognitive impairment studies
  • Cognitive Computing and Networks
  • Music and Audio Processing
  • Ionosphere and magnetosphere dynamics
  • Cancer survivorship and care
  • Image Retrieval and Classification Techniques
  • Academic integrity and plagiarism
  • Service and Product Innovation
  • Context-Aware Activity Recognition Systems
  • Geomagnetism and Paleomagnetism Studies
  • Advanced Database Systems and Queries
  • Cardiac Health and Mental Health
  • Healthcare Systems and Public Health
  • Digital Mental Health Interventions
  • Telemedicine and Telehealth Implementation
  • Lung Cancer Diagnosis and Treatment
  • Palliative Care and End-of-Life Issues
  • Web Data Mining and Analysis
  • Business Process Modeling and Analysis

Algosystems (Greece)
2023

SingularLogic (Greece)
2018

INTRASOFT International (Greece)
2013

National and Kapodistrian University of Athens
2002-2011

Europe is being severely challenged by the ageing of population, and although for well over a decade now looking strategies to effectively increase labour force participation older workers reduce rates early retirement market exit, unemployment amongst people remains particularly high. The design realization age-friendly living working environments huge challenge that we have just only started address as number citizens who are want continue active members society live independently...

10.1145/3316782.3322766 article EN 2019-05-24

According to Europe's Beating Cancer Plan, the number of cancer survivors is growing every year and now estimated at over 12 million in Europe. A main objective European Commission ensure that can enjoy a high quality life, underlining role digital technology eHealth apps tools achieve this.The this study development user-centered artificial intelligence system facilitate input integration patient-related biopsychosocial data improve posttreatment well-being, health outcomes examine...

10.2196/45475 article EN cc-by JMIR Research Protocols 2023-01-31

This paper aims at demonstrating the validity of a hybrid content-based clustering architecture that combines personalisation techniques. The describes for adaptive web-sites using an advanced process, emphasising in personalising multimedia content. overall process is described following all stages and experimental results statistical analysis presented indicate this achieves more successful recommendations, thus reduces uncertainty recommendations. Finally, suggests enhancement current...

10.1504/ijista.2006.009911 article EN International Journal of Intelligent Systems Technologies and Applications 2006-01-01

<sec> <title>BACKGROUND</title> According to Europe’s Beating Cancer Plan, the number of cancer survivors is growing every year and now estimated at over 12 million in Europe. A main objective European Commission ensure that can enjoy a high quality life, underlining role digital technology eHealth apps tools achieve this. </sec> <title>OBJECTIVE</title> The this study development user-centered artificial intelligence system facilitate input integration patient-related biopsychosocial data...

10.2196/preprints.45475 preprint EN 2023-01-12

Differences in the structure and semantics of data that is created maintained by various actors within a business network make its exchange utilization problematic task. This an important issue facing organizations undertaking knowledge management initiatives. We argue ontologies can contribute towards solution problem aiding conceptualization design translation service between units. A model for implementation such offered based on process specification language (PSL).

10.1109/dexa.2000.875166 article EN Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004. 2002-11-07

Abstract This publication presents a solution approach to oncological aftercare for cancer patients by means of artificial intelligence (AI) methods. shall support in overcoming the after-effects therapy effectively with suitable supportive actions and health-care professionals goal-oriented planning these actions. Different AI methods are used analyzing patients’ needs depending on available health data monitoring Decision effective based results analysis. The is realized form web...

10.1007/s00521-023-08765-w article EN cc-by Neural Computing and Applications 2023-07-04

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10.1097/or9.0000000000000084 article EN cc-by Journal of Psychosocial Oncology Research and Practice 2022-08-01
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