Vassilis Moustakis Vis

*	2009
25	EE	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
24	EE	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
23	EE	Evangelos 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
22	EE	George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Vassilis Moustakis, Dimitris Kafetzopoulos, Manolis Tsiknakis: Mining Interesting Clinico-Genomic Associations: The HealthObs Approach. AIAI 2007: 137-145
21	EE	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
	2006
20	EE	Angelos Amanatiadis, Konstantinos Drakatos, Loukas Tsironis, Vassilis Moustakis: Defining the Main Factors of Quality of Service in Mobile Telephony. ICWMC 2006: 23
19	EE	Lefteris Koumakis, Vassilis Moustakis, Alexandros Kanterakis, George Potamias: Mining Time Series with Mine Time. SETN 2006: 158-168
18	EE	Vassilis 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
15	EE	George Potamias, Vassilis Moustakis: Learning In-between Concept Descriptions Using Iterative Induction. SETN 2004: 164-173
14	EE	George Potamias, Lefteris Koumakis, Vassilis Moustakis: Gene Selection via Discretized Gene-Expression Profiles and Greedy Feature-Elimination. SETN 2004: 256-266
	2002
13	EE	Tom 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
12	EE	Vassilis 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
9	EE	Vassilis Moustakis, Jürgen Herrmann: Where Do Machine Learning and Human-Computer Interaction Meet? Applied Artificial Intelligence 11(7-8): 595-609 (1997)
8	EE	George 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, Konrad 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, Konrad 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	EE	Lena Gaga, Vassilis Moustakis, Giorgos Charissis, Stelios C. Orphanoudakis: IDDD: An Inductive, Domain Dependent Decision Algorithm. ECML 1993: 408-413

Coauthor Index

1	Angelos Amanatiadis	[20]
2	Anastasia Analyti	[21]
3	Michalis Blazadonakis	[5] [12]
4	Giorgos Charissis	[1] [2] [5] [8] [11]
5	Stefano Chiesa	[25]
6	Andreas Dalivigas	[16]
7	Konstantinos Drakatos	[20]
8	Saso Dzeroski	[11]
9	P. J. van Elk	[4]
10	Lena Gaga	[1]
11	Nicolas Graner	[3]
12	Evangelos Grigoroudis	[23]
13	Jürgen Herrmann	[9]
14	Diana de la Iglesia	[25]
15	Dimitris Kafetzopoulos	[21] [22] [24]
16	Alexandros Kanterakis	[19] [21] [22] [24]
17	Josipa Kern	[25]
18	Yves Kodratoff	[3]
19	Tom Kontogiannis	[13]
20	Lefteris Koumakis	[14] [17] [19] [21] [22]
21	Konrad Lang	[4] [6]
22	Charalambos Litos	[16] [23]
23	Victor Maojo	[25]
24	Manolis Marazakis	[12]
25	Fernando Martín-Sánchez	[25]
26	Joyce A. Mitchell	[25]
27	Katharina Morik	[2]
28	Christian Ohmann	[4] [6]
29	Stelios C. Orphanoudakis	[1]
30	Yannis Politis	[23]
31	George Potamias	[2] [8] [11] [12] [14] [15] [17] [19] [21] [22] [24] [25]
32	Stefan Rüping	[21]
33	Stelios Sfakianakis	[21]
34	Manolis Tsiknakis	[21] [22]
35	Loukas Tsironis	[7] [16] [20] [23]
36	Q. Yang	[4] [6]

Colors in the list of coauthors