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Vassilis Moustakis

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2008
24EEAlexandros 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
23EEEvangelos Grigoroudis, Charalambos Litos, Vassilis Moustakis, Yannis Politis, Loukas Tsironis: The assessment of user-perceived web quality: Application of a satisfaction benchmarking approach. European Journal of Operational Research 187(3): 1346-1357 (2008)
2007
22EEGeorge Potamias, Lefteris Koumakis, Alexandros Kanterakis, Vassilis Moustakis, Dimitris Kafetzopoulos, Manolis Tsiknakis: Mining Interesting Clinico-Genomic Associations: The HealthObs Approach. AIAI 2007: 137-145
21EEGeorge 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
2006
20EEAngelos Amanatiadis, Konstantinos Drakatos, Loukas Tsironis, Vassilis Moustakis: Defining the Main Factors of Quality of Service in Mobile Telephony. ICWMC 2006: 23
19EELefteris Koumakis, Vassilis Moustakis, Alexandros Kanterakis, George Potamias: Mining Time Series with Mine Time. SETN 2006: 158-168
18EEVassilis Moustakis: Post Supervised Based Learning of Feature Weight Values. SETN 2006: 279-289
2005
17 George Potamias, Lefteris Koumakis, Vassilis Moustakis: Mining XML Clinical Data: the HealthObs System. Ingénierie des Systèmes d'Information 10(1): 59-79 (2005)
2004
16 Vassilis Moustakis, Charalambos Litos, Andreas Dalivigas, Loukas Tsironis: Website Quality Assessment Criteria. IQ 2004: 59-73
15EEGeorge Potamias, Vassilis Moustakis: Learning In-between Concept Descriptions Using Iterative Induction. SETN 2004: 164-173
14EEGeorge Potamias, Lefteris Koumakis, Vassilis Moustakis: Gene Selection via Discretized Gene-Expression Profiles and Greedy Feature-Elimination. SETN 2004: 256-266
2002
13EETom Kontogiannis, Vassilis Moustakis: An experimental evaluation of comprehensibility aspects of knowledge structures derived through induction techniques: a case study of industrial fault diagnosis. Behaviour & IT 21(2): 117-135 (2002)
1998
12EEVassilis Moustakis, Michalis Blazadonakis, Manolis Marazakis, George Potamias: Assessment of Boolean Minimization in Symbolic Empirical Learning. Applied Artificial Intelligence 12(4): 329-342 (1998)
1997
11 Saso Dzeroski, George Potamias, Vassilis Moustakis, Giorgos Charissis: Automated Revision of Expert Rules for Treating Acute Abdominal Pain in Children. AIME 1997: 98-109
10 Vassilis Moustakis: Do People in HCI Use Machine Learning? HCI (2) 1997: 95-98
9EEVassilis Moustakis, Jürgen Herrmann: Where Do Machine Learning and Human-Computer Interaction Meet? Applied Artificial Intelligence 11(7-8): 595-609 (1997)
8EEGeorge Potamias, Vassilis Moustakis, Giorgos Charissis: Interactive Knowledge Based Construction and Maintenance. Applied Artificial Intelligence 11(7-8): 697-717 (1997)
1996
7 Vassilis Moustakis, Loukas Tsironis: Knowledge Quality Assurance in Data Mining. IQ 1996: 107-116
6 Christian Ohmann, Vassilis Moustakis, Q. Yang, K. Lang: Evaluation of automatic knowledge acquisition techniques in the diagnosis of acute abdominal pain - Acute Abdominal Pain Study Group. Artificial Intelligence in Medicine 8(1): 23-36 (1996)
5 Michalis Blazadonakis, Vassilis Moustakis, Giorgos Charissis: Deep assessment of machine learning techniques using patient treatment in acute abdominal pain in children. Artificial Intelligence in Medicine 8(6): 527-542 (1996)
1995
4 Christian Ohmann, Q. Yang, Vassilis Moustakis, K. Lang, P. J. van Elk: Machine Learning Techniques Applied to the Diagnosis of Acute Abdominal Pain. AIME 1995: 276-281
1994
3 Yves Kodratoff, Vassilis Moustakis, Nicolas Graner: Can machine learning solve my problem? Applied Artificial Intelligence 8(1): 1-31 (1994)
2 Katharina Morik, George Potamias, Vassilis Moustakis, Giorgos Charissis: Knowledgeable learning using MOBAL: A medical case study. Applied Artificial Intelligence 8(4): 579-592 (1994)
1993
1 Lena Gaga, Vassilis Moustakis, Giorgos Charissis, Stelios C. Orphanoudakis: IDDD: An Inductive, Domain Dependent Decision Algorithm. ECML 1993: 408-413

Coauthor Index

1Angelos Amanatiadis [20]
2Anastasia Analyti [21]
3Michalis Blazadonakis [5] [12]
4Giorgos Charissis [1] [2] [5] [8] [11]
5Andreas Dalivigas [16]
6Konstantinos Drakatos [20]
7Saso Dzeroski [11]
8P. J. van Elk [4]
9Lena Gaga [1]
10Nicolas Graner [3]
11Evangelos Grigoroudis [23]
12Jürgen Herrmann [9]
13Dimitris Kafetzopoulos [21] [22] [24]
14Alexandros Kanterakis [19] [21] [22] [24]
15Yves Kodratoff [3]
16Tom Kontogiannis [13]
17Lefteris Koumakis [14] [17] [19] [21] [22]
18K. Lang [4] [6]
19Charalambos Litos [16] [23]
20Manolis Marazakis [12]
21Katharina Morik [2]
22Christian Ohmann [4] [6]
23Stelios C. Orphanoudakis [1]
24Yannis Politis [23]
25George Potamias [2] [8] [11] [12] [14] [15] [17] [19] [21] [22] [24]
26Stefan Rüping [21]
27Stelios Sfakianakis [21]
28Manolis Tsiknakis [21] [22]
29Loukas Tsironis [7] [16] [20] [23]
30Q. Yang [4] [6]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)