Vassilis Moustakis

According to our database, Vassilis Moustakis authored at least 43 papers between 1993 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

MinePath: Mining for Phenotype Differential Sub-paths in Molecular Pathways.

Lefteris Koumakis, Alexandros Kanterakis, Evgenia Kartsaki, Maria Chatzimina, Michalis E. Zervakis, Manolis Tsiknakis, Despoina Vassou, Dimitris Kafetzopoulos, Kostas Marias, Vassilis Moustakis, George Potamias

PLoS Comput. Biol., 2016

2015

Bridging miRNAs and pathway analysis in clinical decision support: a case study in nephroblastoma.

Lefteris Koumakis, Kamana Sigdel, George Potamias, Stelios Sfakianakis, Jasper van Leeuwen, George Zacharioudakis, Vassilis Moustakis, Michalis E. Zervakis, Anca I. D. Bucur, Kostas Marias, Norbert M. Graf, Manolis Tsiknakis

Netw. Model. Anal. Health Informatics Bioinform., 2015

2014

An empirical investigation of Technology Readiness among medical staff based in Greek hospitals.

Christos D. Melas, Leonidas A. Zampetakis, Anastasia Dimopoulou, Vassilis Moustakis

Eur. J. Inf. Syst., 2014

The significance of attitudes towards evidence-based practice in information technology use in the health sector: an empirical investigation.

Christos D. Melas, Leonidas A. Zampetakis, Anastasia Dimopoulou, Vassilis Moustakis

Behav. Inf. Technol., 2014

miRNA Based Pathway Analysis Tool in Nephroblastoma as a Proof of Principle for other Cancer Domains.

Lefteris Koumakis, George Potamias, Stelios Sfakianakis, Vassilis Moustakis, Michalis E. Zervakis, Norbert M. Graf, Manolis Tsiknakis

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2012

Nanoinformatics: developing new computing applications for nanomedicine.

Victor Maojo, Martin Fritts, Fernando Martín-Sánchez, Diana de la Iglesia, Raul E. Cachau, Miguel García-Remesal, José Crespo, Joyce A. Mitchell, Alberto Anguita, Nathan A. Baker, José María Barreiro, Sonia E. Benitez, Guillermo de la Calle, Julio C. Facelli, Peter Ghazal, Antoine Geissbühler, Fernando D. González Nilo, Norbert M. Graf, Pierre Grangeat, Isabel Hermosilla, Rada Hussein, Josipa Kern, Sabine Koch, Yannick Legré, Victoria López-Alonso, Guillermo López-Campos, Luciano Milanesi, Vassilis Moustakis, Cristian R. Munteanu, Paula Otero, Alejandro Pazos, David Pérez-Rey, George Potamias, Ferran Sanz, Casimir A. Kulikowski

Computing, 2012

Coupling Regulatory Networks and Microarays: Revealing Molecular Regulations of Breast Cancer Treatment Responses.

Lefteris Koumakis, Vassilis Moustakis, Michalis E. Zervakis, Dimitris Kafetzopoulos, George Potamias

Proceedings of the Artificial Intelligence: Theories and Applications, 2012

2011

Modeling the acceptance of clinical information systems among hospital medical staff: An extended TAM model.

Christos D. Melas, Leonidas A. Zampetakis, Anastasia Dimopoulou, Vassilis Moustakis

J. Biomed. Informatics, 2011

2010

Towards the Discovery of Reliable Biomarkers from Gene-Expression Profiles: An Iterative Constraint Satisfaction Learning Approach.

George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Vassilis Moustakis

Proceedings of the Artificial Intelligence: Theories, 2010

2009

A framework for BPML assessment and improvement: A case study using IDEF0 and eEPC.

Loukas Tsironis, Kiriakos Anastasiou, Vassilis Moustakis

Bus. Process. Manag. J., 2009

Nanoinformatics: New Challenges for Biomedical Informatics at the Nano Level.

Diana de la Iglesia, Stefano Chiesa, Josipa Kern, Victor Maojo, Fernando Martín-Sánchez, George Potamias, Vassilis Moustakis, Joyce A. Mitchell

Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009

BMIINT Editorial.

George Potamias, Vassilis Moustakis

Proceedings of the Workshops of the 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI-2009), 2009

Discovery of Genotype-to-Phenotype Associations: A Grid-enabled Scientific Workflow Setting.

Lefteris Koumakis, Stelios Sfakianakis, Vassilis Moustakis, George Potamias

Proceedings of the Workshops of the 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI-2009), 2009

Revealing Disease Mechanisms via Coupling Molecular Pathways Scaffolds and Microarrays: A Study on the Wilm's Tumor Disease.

Alexandros Kanterakis, Vassilis Moustakis, Dimitris Kafetzopoulos, George Potamias

Proceedings of the Workshops of the 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI-2009), 2009

2008

The assessment of user-perceived web quality: Application of a satisfaction benchmarking approach.

Evangelos Grigoroudis, Charalambos Litos, Vassilis Moustakis, Yannis Politis, Loukas Tsironis

Eur. J. Oper. Res., 2008

Mining Gene Expression Profiles and Gene Regulatory Networks: Identification of Phenotype-Specific Molecular Mechanisms.

Alexandros Kanterakis, Dimitris Kafetzopoulos, Vassilis Moustakis, George Potamias

Proceedings of the Artificial Intelligence: Theories, 2008

2007

Mining Interesting Clinico-Genomic Associations: The HealthObs Approach.

George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Vassilis Moustakis, Dimitris Kafetzopoulos, Manolis Tsiknakis

Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007

Knowledge Discovery Scientific Workflows in Clinico-Genomics.

George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Stelios Sfakianakis, Anastasia Analyti, Vassilis Moustakis, Dimitris Kafetzopoulos, Stefan Rüping, Manolis Tsiknakis

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

2006

Post Supervised Based Learning of Feature Weight Values.

Vassilis Moustakis

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Mining Time Series with Mine Time.

Lefteris Koumakis, Vassilis Moustakis, Alexandros Kanterakis, George Potamias

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Defining the Main Factors of Quality of Service in Mobile Telephony.

Angelos Amanatiadis, Konstantinos Drakatos, Loukas Tsironis, Vassilis Moustakis

Proceedings of the Second International Conference on Wireless and Mobile Communications (ICWMC'06), 2006

2005

Mining XML Clinical Data: the HealthObs System.

George Potamias, Lefteris Koumakis, Vassilis Moustakis

Ingénierie des Systèmes d Inf., 2005

2004

Learning In-between Concept Descriptions Using Iterative Induction.

George Potamias, Vassilis Moustakis

Proceedings of the Methods and Applications of Artificial Intelligence, 2004

Gene Selection via Discretized Gene-Expression Profiles and Greedy Feature-Elimination.

George Potamias, Lefteris Koumakis, Vassilis Moustakis

Proceedings of the Methods and Applications of Artificial Intelligence, 2004

Website Quality Assessment Criteria.

Vassilis Moustakis, Charalambos Litos, Andreas Dalivigas, Loukas Tsironis

Proceedings of the Ninth International Conference on Information Quality (ICIQ 2004), 2004

2003

Supporting Population Centered Medical Decision Making: Design Recommendations and Preliminary Assessment.

George Potamias, Lefteris Koumakis, Giorgos Charissis, Vassilis Moustakis, Manolis Tsiknakis, Stelios C. Orphanoudakis

Proceedings of the Human-Computer Interaction: Universal Access in HCI: Inclusive Design in the Information Society, 2003

2002

An experimental evaluation of comprehensibility aspects of knowledge structures derived through induction techniques: a case study of industrial fault diagnosis.

Tom Kontogiannis, Vassilis Moustakis

Behav. Inf. Technol., 2002

2001

Machine learning based feature extraction for quality control in a production line.

Georgios Dounias, Georgios Tselentis, Vassilis Moustakis

Integr. Comput. Aided Eng., 2001

1998

Assessment of Boolean Minimization in Symbolic Empirical Learning.

Vassilis Moustakis, Michalis Blazadonakis, Manolis Marazakis, George Potamias

Appl. Artif. Intell., 1998

1997

Interactive Knowledge Based Construction and Maintenance.

George Potamias, Vassilis Moustakis, Giorgos Charissis

Appl. Artif. Intell., 1997

Where Do Machine Learning and Human-Computer Interaction Meet?

Vassilis Moustakis, Jürgen Herrmann

Appl. Artif. Intell., 1997

Do People in HCI Use Machine Learning?

Vassilis Moustakis

Proceedings of the Design of Computing Systems: Social and Ergonomic Considerations, 1997

Automated Revision of Expert Rules for Treating Acute Abdominal Pain in Children.

Saso Dzeroski, George Potamias, Vassilis Moustakis, Giorgos Charissis

Proceedings of the Artificial Intelligence Medicine, 1997

1996

Survey of expert opinion: Which machine learning method may be used for which task?

Vassilis Moustakis, Mark R. Lehto, Gavriel Salvendy

Int. J. Hum. Comput. Interact., 1996

Introduction: ML meets HCI.

Vassilis Moustakis

Int. J. Hum. Comput. Interact., 1996

Identifying decision maker's preferences through a prototype based inductive learning method: A medical case study.

Panayotis Vassilakis, Vassilis Moustakis

Behav. Inf. Technol., 1996

Evaluation of automatic knowledge acquisition techniques in the diagnosis of acute abdominal pain - Acute Abdominal Pain Study Group.

Christian Ohmann, Vassilis Moustakis, Q. Yang, Konrad Lang

Artif. Intell. Medicine, 1996

Deep assessment of machine learning techniques using patient treatment in acute abdominal pain in children.

Michalis Blazadonakis, Vassilis Moustakis, Giorgos Charissis

Artif. Intell. Medicine, 1996

Knowledge Quality Assurance in Data Mining.

Vassilis Moustakis, Loukas Tsironis

Proceedings of the Conference on Information Quality (IQ 1996), 1996

1995

Machine Learning Techniques Applied to the Diagnosis of Acute Abdominal Pain.

Christian Ohmann, Q. Yang, Vassilis Moustakis, Konrad Lang, P. J. van Elk

Proceedings of the Artificial Intelligence Medicine, 1995

1994

Knowledgeable learning using MOBAL: A medical case study.

Katharina Morik, George Potamias, Vassilis Moustakis, Giorgos Charissis

Appl. Artif. Intell., 1994

Can machine learning solve my problem?

Yves Kodratoff, Vassilis Moustakis, Nicolas Graner

Appl. Artif. Intell., 1994

1993

IDDD: An Inductive, Domain Dependent Decision Algorithm.

Lena Gaga, Vassilis Moustakis, Giorgos Charissis, Stelios C. Orphanoudakis

Proceedings of the Machine Learning: ECML-93, 1993