2008 |
15 | EE | Eleftheria Tzamali,
Martin Reczko:
The benefit of cooperation: Identifying growth-efficient interacting strains of Escherichia coli using metabolic flux balance models.
BIBE 2008: 1-6 |
2007 |
14 | EE | Trias Thireou,
Martin Reczko:
Bidirectional Long Short-Term Memory Networks for Predicting the Subcellular Localization of Eukaryotic Proteins.
IEEE/ACM Trans. Comput. Biology Bioinform. 4(3): 441-446 (2007) |
2006 |
13 | | Karol Szafranski,
Molly Megraw,
Martin Reczko,
Artemis G. Hatzigeorgiou:
Support Vector Machines for Predicting microRNA Hairpins.
BIOCOMP 2006: 270-276 |
12 | EE | Alkiviadis Symeonidis,
Ioannis G. Tollis,
Martin Reczko:
Visualization of Functional Aspects of microRNA Regulatory Networks Using the Gene Ontology.
ISBMDA 2006: 13-24 |
2005 |
11 | EE | Adam Arvelakis,
Martin Reczko,
Alexandros Stamatakis,
Alkiviadis Symeonidis,
Ioannis G. Tollis:
Using Treemaps to Visualize Phylogenetic Trees.
ISBMDA 2005: 283-293 |
2002 |
10 | EE | Martin Reczko,
Petko Fiziev,
Eike Staub,
Artemis G. Hatzigeorgiou:
Finding Signal Peptides in Human Protein Sequences Using Recurrent Neural Networks.
WABI 2002: 60-67 |
2001 |
9 | | Artemis G. Hatzigeorgiou,
Petko Fiziev,
Martin Reczko:
DIANA-EST: a statistical analysis.
Bioinformatics 17(10): 913-919 (2001) |
8 | | Martin Reczko,
Dimitris A. Karras,
Basil G. Mertzios,
D. Graveron-Demilly,
D. van Ormondt:
Improved MR image reconstruction from sparsely sampled scans based on neural networks.
Pattern Recognition Letters 22(1): 35-46 (2001) |
2000 |
7 | EE | Dimitris A. Karras,
Martin Reczko,
Basil G. Mertzios,
D. Graveron-Demilly,
D. van Ormondt:
MR Image Reconstruction from Sparsely Sampled Scans Based on Multilayer Perceptrons and Using Regularization Techniques.
IJCNN (1) 2000: 336-341 |
6 | EE | Christian Derst,
Martin Reczko,
Artemis G. Hatzigeorgiou:
Prediction of human transnational initiation sites using a multiple neural network approach.
Int. J. Comput. Syst. Signal 1(2): 169-179 (2000) |
1999 |
5 | | Janet Grassmann,
Martin Reczko,
Sándor Suhai,
Lutz Edler:
Protein Fold Class Prediction: New Methods of Statistical Classification.
ISMB 1999: 106-112 |
4 | EE | Martin Reczko,
Dimitris A. Karras,
V. Mertzios,
D. Graveron-Demilly,
D. van Ormondt:
Neural Networks in MR Image Estimation from Sparsely Sampled Scans.
MLDM 1999: 75-86 |
1997 |
3 | | Martin Reczko,
Dimitris A. Karras,
Henrik Bohr:
An update of the DEF database of protein fold class predictions.
Nucleic Acids Research 25(1): 235 (1997) |
1996 |
2 | | Niels Mache,
Paul Levi,
Artemis G. Hatzigeorgiou,
Martin Reczko:
Detection of Eukaryotic POL II Promoters with Multi-State Time-Delay Neural Networks.
German Conference on Bioinformatics 1996: 264-267 |
1995 |
1 | | Martin Reczko,
Artemis G. Hatzigeorgiou,
Niels Mache,
Andreas Zell,
Sándor Suhai:
A parallel neural network simulator on the connection machine CM-5.
Computer Applications in the Biosciences 11(3): 309-315 (1995) |