| 2007 |
| 20 | 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 |
| 19 | | Grigoris Antoniou,
George Potamias,
Costas Spyropoulos,
Dimitris Plexousakis:
Advances in Artificial Intelligence, 4th Helenic Conference on AI, SETN 2006, Heraklion, Crete, Greece, May 18-20, 2006, Proceedings
Springer 2006 |
| 18 | EE | Michael May,
George Potamias,
Stefan Rüping:
Grid-Based Knowledge Discovery in Clinico-Genomic Data.
ISBMDA 2006: 219-230 |
| 17 | EE | Anastasia Analyti,
Haridimos Kondylakis,
Dimitris Manakanatas,
Manos Kalaitzakis,
Dimitris Plexousakis,
George Potamias:
Integrating Clinical and Genomic Information Through the PrognoChip Mediator.
ISBMDA 2006: 250-261 |
| 16 | EE | Lefteris Koumakis,
Vassilis Moustakis,
Alexandros Kanterakis,
George Potamias:
Mining Time Series with Mine Time.
SETN 2006: 158-168 |
| 15 | EE | Despoina Antonakaki,
Alexandros Kanterakis,
George Potamias:
Biomedical Literature Mining for Text Classification and Construction of Gene Networks.
SETN 2006: 469-473 |
| 14 | EE | Alexandros Kanterakis,
George Potamias:
Supporting Clinico-Genomic Knowledge Discovery: A Multi-strategy Data Mining Process.
SETN 2006: 520-524 |
| 2005 |
| 13 | | George Potamias,
Lefteris Koumakis,
Vassilis Moustakis:
Mining XML Clinical Data: the HealthObs System.
Ingénierie des Systèmes d'Information 10(1): 59-79 (2005) |
| 2004 |
| 12 | EE | George Potamias:
Knowledgeable Clustering of Microarray Data.
ISBMDA 2004: 491-497 |
| 11 | EE | George Potamias,
Vassilis Moustakis:
Learning In-between Concept Descriptions Using Iterative Induction.
SETN 2004: 164-173 |
| 10 | EE | George Potamias,
Lefteris Koumakis,
Vassilis Moustakis:
Gene Selection via Discretized Gene-Expression Profiles and Greedy Feature-Elimination.
SETN 2004: 256-266 |
| 9 | EE | George Potamias,
Catherine R. Dermon:
Protein synthesis profiling in the developing brain: a graph theoretic clustering approach.
Computer Methods and Programs in Biomedicine 76(2): 115-129 (2004) |
| 2002 |
| 8 | EE | George Potamias:
Distance and Feature-Based Clustering of Time Series: An Application on Neurophysiology.
SETN 2002: 237-248 |
| 2001 |
| 7 | EE | George Potamias:
Content-Based Similarity Assessment in Multi-segmented Medical Image Data Bases.
MLDM 2001: 347-362 |
| 6 | EE | George Potamias:
Adaptive Classification of Web Documents to Users Interests.
Panhellenic Conference on Informatics 2001: 147-158 |
| 1999 |
| 5 | EE | George Potamias:
MICSL: Multiple Iterative Constraint Satisfaction based Learning.
Intell. Data Anal. 3(4): 245-265 (1999) |
| 1998 |
| 4 | 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 |
| 3 | | Saso Dzeroski,
George Potamias,
Vassilis Moustakis,
Giorgos Charissis:
Automated Revision of Expert Rules for Treating Acute Abdominal Pain in Children.
AIME 1997: 98-109 |
| 2 | EE | George Potamias,
Vassilis Moustakis,
Giorgos Charissis:
Interactive Knowledge Based Construction and Maintenance.
Applied Artificial Intelligence 11(7-8): 697-717 (1997) |
| 1994 |
| 1 | | Katharina Morik,
George Potamias,
Vassilis Moustakis,
Giorgos Charissis:
Knowledgeable learning using MOBAL: A medical case study.
Applied Artificial Intelligence 8(4): 579-592 (1994) |