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2010 – 2019
- 2016
[j21]Lefteris Koumakis
, Alexandros Kanterakis, Evgenia Kartsaki, Maria Chatzimina, Michalis E. Zervakis, Manolis Tsiknakis, Despoina Vassou, Dimitris Kafetzopoulos, Kostas Marias, Vassilis Moustakis, George Potamias:
MinePath: Mining for Phenotype Differential Sub-paths in Molecular Pathways. PLoS Comput. Biol. 12(11) (2016)- 2015
- [j20]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:
Bridging miRNAs and pathway analysis in clinical decision support: a case study in nephroblastoma. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 30 (2015) - 2014
- [j19]Christos D. Melas, Leonidas A. Zampetakis, Anastasia Dimopoulou, Vassilis Moustakis:
The significance of attitudes towards evidence-based practice in information technology use in the health sector: an empirical investigation. Behav. Inf. Technol. 33(12): 1248-1260 (2014) - [j18]Christos D. Melas, Leonidas A. Zampetakis, Anastasia Dimopoulou, Vassilis Moustakis:
An empirical investigation of Technology Readiness among medical staff based in Greek hospitals. Eur. J. Inf. Syst. 23(6): 672-690 (2014) - [c22]Lefteris Koumakis, George Potamias, Stelios Sfakianakis, Vassilis Moustakis, Michalis E. Zervakis, Norbert M. Graf, Manolis Tsiknakis:
miRNA Based Pathway Analysis Tool in Nephroblastoma as a Proof of Principle for other Cancer Domains. BIBE 2014: 179-184 - 2012
- [j17]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:
Nanoinformatics: developing new computing applications for nanomedicine. Computing 94(6): 521-539 (2012) - [c21]Lefteris Koumakis, Vassilis Moustakis, Michalis E. Zervakis, Dimitris Kafetzopoulos, George Potamias:
Coupling Regulatory Networks and Microarays: Revealing Molecular Regulations of Breast Cancer Treatment Responses. SETN 2012: 239-246 - 2011
- [j16]Christos D. Melas, Leonidas A. Zampetakis, Anastasia Dimopoulou, Vassilis Moustakis:
Modeling the acceptance of clinical information systems among hospital medical staff: An extended TAM model. J. Biomed. Informatics 44(4): 553-564 (2011) - 2010
- [c20]George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Vassilis Moustakis:
Towards the Discovery of Reliable Biomarkers from Gene-Expression Profiles: An Iterative Constraint Satisfaction Learning Approach. SETN 2010: 233-242
2000 – 2009
- 2009
- [j15]Loukas Tsironis, Kiriakos Anastasiou, Vassilis Moustakis:
A framework for BPML assessment and improvement: A case study using IDEF0 and eEPC. Bus. Process. Manag. J. 15(3): 430-461 (2009) - [c19]George Potamias, Vassilis Moustakis:
BMIINT Editorial. AIAI Workshops 2009: 1-3 - [c18]Lefteris Koumakis, Stelios Sfakianakis, Vassilis Moustakis, George Potamias:
Discovery of Genotype-to-Phenotype Associations: A Grid-enabled Scientific Workflow Setting. AIAI Workshops 2009: 48-59 - [c17]Alexandros Kanterakis, Vassilis Moustakis, Dimitris Kafetzopoulos, George Potamias:
Revealing Disease Mechanisms via Coupling Molecular Pathways Scaffolds and Microarrays: A Study on the Wilm's Tumor Disease. AIAI Workshops 2009: 88-99 - [c16]Diana de la Iglesia, Stefano Chiesa, Josipa Kern, Victor Maojo, Fernando Martín-Sánchez, George Potamias, Vassilis Moustakis, Joyce A. Mitchell:
Nanoinformatics: New Challenges for Biomedical Informatics at the Nano Level. MIE 2009: 987-991 - 2008
- [j14]Evangelos Grigoroudis, Charalambos Litos, Vassilis Moustakis, Yannis Politis, Loukas Tsironis:
The assessment of user-perceived web quality: Application of a satisfaction benchmarking approach. Eur. J. Oper. Res. 187(3): 1346-1357 (2008) - [c15]Alexandros Kanterakis, Dimitris Kafetzopoulos, Vassilis Moustakis, George Potamias:
Mining Gene Expression Profiles and Gene Regulatory Networks: Identification of Phenotype-Specific Molecular Mechanisms. SETN 2008: 97-109 - 2007
- [c14]George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Stelios Sfakianakis, Anastasia Analyti, Vassilis Moustakis, Dimitris Kafetzopoulos, Stefan Rüping, Manolis Tsiknakis:
Knowledge Discovery Scientific Workflows in Clinico-Genomics. ICTAI (1) 2007: 91-95 - [c13]George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Vassilis Moustakis, Dimitris Kafetzopoulos, Manolis Tsiknakis:
Mining Interesting Clinico-Genomic Associations: The HealthObs Approach. AIAI 2007: 137-145 - 2006
- [c12]Angelos Amanatiadis, Konstantinos Drakatos, Loukas Tsironis, Vassilis Moustakis:
Defining the Main Factors of Quality of Service in Mobile Telephony. ICWMC 2006: 23 - [c11]Lefteris Koumakis, Vassilis Moustakis, Alexandros Kanterakis, George Potamias:
Mining Time Series with Mine Time. SETN 2006: 158-168 - [c10]Vassilis Moustakis:
Post Supervised Based Learning of Feature Weight Values. SETN 2006: 279-289 - 2005
- [j13]George Potamias, Lefteris Koumakis, Vassilis Moustakis:
Mining XML Clinical Data: the HealthObs System. Ingénierie des Systèmes d Inf. 10(1): 59-79 (2005) - 2004
- [c9]Vassilis Moustakis, Charalambos Litos, Andreas Dalivigas, Loukas Tsironis:
Website Quality Assessment Criteria. ICIQ 2004: 59-73 - [c8]George Potamias, Vassilis Moustakis:
Learning In-between Concept Descriptions Using Iterative Induction. SETN 2004: 164-173 - [c7]George Potamias, Lefteris Koumakis, Vassilis Moustakis:
Gene Selection via Discretized Gene-Expression Profiles and Greedy Feature-Elimination. SETN 2004: 256-266 - 2003
- [c6]George Potamias, Lefteris Koumakis, Giorgos Charissis, Vassilis Moustakis, Manolis Tsiknakis, Stelios C. Orphanoudakis:
Supporting Population Centered Medical Decision Making: Design Recommendations and Preliminary Assessment. HCI (4) 2003: 795-799 - 2002
- [j12]Tom Kontogiannis, Vassilis Moustakis:
An experimental evaluation of comprehensibility aspects of knowledge structures derived through induction techniques: a case study of industrial fault diagnosis. Behav. Inf. Technol. 21(2): 117-135 (2002) - 2001
- [j11]Georgios Dounias, Georgios Tselentis, Vassilis Moustakis:
Machine learning based feature extraction for quality control in a production line. Integr. Comput. Aided Eng. 8(4): 325-336 (2001)
1990 – 1999
- 1998
- [j10]Vassilis Moustakis, Michalis Blazadonakis, Manolis Marazakis, George Potamias:
Assessment of Boolean Minimization in Symbolic Empirical Learning. Appl. Artif. Intell. 12(4): 329-342 (1998) - 1997
- [j9]Vassilis Moustakis, Jürgen Herrmann:
Where Do Machine Learning and Human-Computer Interaction Meet? Appl. Artif. Intell. 11(7-8): 595-609 (1997) - [j8]George Potamias, Vassilis Moustakis, Giorgos Charissis:
Interactive Knowledge Based Construction and Maintenance. Appl. Artif. Intell. 11(7-8): 697-717 (1997) - [c5]Saso Dzeroski, George Potamias, Vassilis Moustakis, Giorgos Charissis:
Automated Revision of Expert Rules for Treating Acute Abdominal Pain in Children. AIME 1997: 98-109 - [c4]Vassilis Moustakis:
Do People in HCI Use Machine Learning? HCI (2) 1997: 95-98 - 1996
- [j7]Christian Ohmann, Vassilis Moustakis, Q. Yang, Konrad Lang:
Evaluation of automatic knowledge acquisition techniques in the diagnosis of acute abdominal pain - Acute Abdominal Pain Study Group. Artif. Intell. Medicine 8(1): 23-36 (1996) - [j6]Michalis Blazadonakis, Vassilis Moustakis, Giorgos Charissis:
Deep assessment of machine learning techniques using patient treatment in acute abdominal pain in children. Artif. Intell. Medicine 8(6): 527-542 (1996) - [j5]Panayotis Vassilakis, Vassilis Moustakis:
Identifying decision maker's preferences through a prototype based inductive learning method: A medical case study. Behav. Inf. Technol. 15(2): 113-122 (1996) - [j4]Vassilis Moustakis:
Introduction: ML meets HCI. Int. J. Hum. Comput. Interact. 8(3): 217-219 (1996) - [j3]Vassilis Moustakis, Mark R. Lehto, Gavriel Salvendy:
Survey of expert opinion: Which machine learning method may be used for which task? Int. J. Hum. Comput. Interact. 8(3): 221-236 (1996) - [c3]Vassilis Moustakis, Loukas Tsironis:
Knowledge Quality Assurance in Data Mining. IQ 1996: 107-116 - 1995
- [c2]Christian Ohmann, Q. Yang, Vassilis Moustakis, Konrad Lang, P. J. van Elk:
Machine Learning Techniques Applied to the Diagnosis of Acute Abdominal Pain. AIME 1995: 276-281 - 1994
- [j2]Yves Kodratoff, Vassilis Moustakis, Nicolas Graner:
Can machine learning solve my problem? Appl. Artif. Intell. 8(1): 1-31 (1994) - [j1]Katharina Morik, George Potamias, Vassilis Moustakis, Giorgos Charissis:
Knowledgeable learning using MOBAL: A medical case study. Appl. Artif. Intell. 8(4): 579-592 (1994) - 1993
- [c1]Lena Gaga, Vassilis Moustakis, Giorgos Charissis, Stelios C. Orphanoudakis:
IDDD: An Inductive, Domain Dependent Decision Algorithm. ECML 1993: 408-413
Coauthor Index
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