 | 2009 |
|---|
| 41 |       | Bogdan Gabrys:
Learning with Missing or Incomplete Data.
ICIAP 2009: 1-4 |
| 40 | | Mark Eastwood,
Bogdan Gabrys:
A Non-sequential Representation of Sequential Data for Churn Prediction.
KES (1) 2009: 209-218 |
| 39 | | Silvia Riedel,
Bogdan Gabrys:
Pooling for Combination of Multilevel Forecasts.
IEEE Trans. Knowl. Data Eng. 21(12): 1753-1766 (2009) |
| 38 | | Bogdan Gabrys,
Davide Anguita:
Nature-inspired learning and adaptive systems.
Natural Computing 8(2): 197-198 (2009) |
| 37 | | Dymitr Ruta,
Bogdan Gabrys:
A framework for machine learning based on dynamic physical fields.
Natural Computing 8(2): 219-237 (2009) |
| 2008 |
|---|
| 36 | | Christiane Lemke,
Bogdan Gabrys:
Do we need experts for time series forecasting?.
ESANN 2008: 253-258 |
| 35 | | Bogdan Gabrys:
Do Smart Adaptive Systems Exist? Hybrid Intelligent Systems Perspective.
HAIS 2008: 2-3 |
| 34 | | Petr Kadlec,
Bogdan Gabrys:
Soft Sensor Based on Adaptive Local Learning.
ICONIP (1) 2008: 1172-1179 |
| 33 | | Katarzyna Musial,
Krzysztof Juszczyszyn,
Bogdan Gabrys,
Przemyslaw Kazienko:
Patterns of Interactions in Complex Social Networks Based on Coloured Motifs Analysis.
ICONIP (2) 2008: 607-614 |
| 32 | | Petr Kadlec,
Bogdan Gabrys:
Learnt Topology Gating Artificial Neural Networks.
IJCNN 2008: 2604-2611 |
| 31 | | Krzysztof Juszczyszyn,
Przemyslaw Kazienko,
Katarzyna Musial,
Bogdan Gabrys:
Temporal Changes in Connection Patterns of an Email-Based Social Network.
Web Intelligence/IAT Workshops 2008: 9-12 |
| 30 | | Petr Kadlec,
Bogdan Gabrys:
Gating Artificial Neural Network Based Soft Sensor.
New Challenges in Applied Intelligence Technologies 2008: 193-202 |
| 2007 |
|---|
| 29 | | Abdelhamid Bouchachia,
Bogdan Gabrys,
Zoheir Sahel:
Overview of Some Incremental Learning Algorithms.
FUZZ-IEEE 2007: 1-6 |
| 28 | | Dymitr Ruta,
Bogdan Gabrys:
Neural Network Ensembles for Time Series Prediction.
IJCNN 2007: 1204-1209 |
| 27 | | Silvia Riedel,
Bogdan Gabrys:
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning.
IJCNN 2007: 454-459 |
| 26 | | Martin Macas,
Bogdan Gabrys,
Dymitr Ruta,
Lenka Lhotská:
Particle Swarm Optimisation of Multiple Classifier Systems.
IWANN 2007: 333-340 |
| 25 | | Zoheir Sahel,
Abdelhamid Bouchachia,
Bogdan Gabrys,
Paul Rogers:
Adaptive Mechanisms for Classification Problems with Drifting Data.
KES (2) 2007: 419-426 |
| 24 | | Honghai Liu,
Robert J. Howlett,
Bogdan Gabrys:
Special issue: Extended papers selected from KES-2006.
KES Journal 11(4): 199-200 (2007) |
| 23 | | Mark Eastwood,
Bogdan Gabrys:
The Dynamics of Negative Correlation Learning.
VLSI Signal Processing 49(2): 251-263 (2007) |
| 22 | | Silvia Riedel,
Bogdan Gabrys:
Combination of Multi Level Forecasts.
VLSI Signal Processing 49(2): 265-280 (2007) |
| 2006 |
|---|
| 21 |  | Bogdan Gabrys,
Robert J. Howlett,
Lakhmi C. Jain:
Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part I
Springer 2006 |
| 20 | | Bogdan Gabrys,
Robert J. Howlett,
Lakhmi C. Jain:
Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part II
Springer 2006 |
| 19 | | Bogdan Gabrys,
Robert J. Howlett,
Lakhmi C. Jain:
Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part III
Springer 2006 |
| 18 | | Emilio Corchado,
Bruno Baruque,
Bogdan Gabrys:
Maximum Likelihood Topology Preserving Ensembles.
IDEAL 2006: 1434-1442 |
| 17 | | Edward Tersoo Apeh,
Bogdan Gabrys:
Clustering for Data Matching.
KES (1) 2006: 1216-1225 |
| 16 | | Bogdan Gabrys,
Bruno Baruque,
Emilio Corchado:
Outlier Resistant PCA Ensembles.
KES (3) 2006: 432-440 |
| 15 | | Bogdan Gabrys,
Dymitr Ruta:
Genetic algorithms in classifier fusion.
Appl. Soft Comput. 6(4): 337-347 (2006) |
| 2005 |
|---|
| 14 | | Dymitr Ruta,
Bogdan Gabrys:
Classifier selection for majority voting.
Information Fusion 6(1): 63-81 (2005) |
| 2004 |
|---|
| 13 | | Silvia Riedel,
Bogdan Gabrys:
Hierarchical Multilevel Approaches of Forecast Combination.
OR 2004: 479-486 |
| 12 | | Bogdan Gabrys:
Learning hybrid neuro-fuzzy classifier models from data: to combine or not to combine?
Fuzzy Sets and Systems 147(1): 39-56 (2004) |
| 11 | | Bogdan Gabrys:
Special issue on integration of methods and hybrid systems.
Int. J. Approx. Reasoning 35(3): 203-204 (2004) |
| 10 | | Bogdan Gabrys,
Lina Petrakieva:
Combining labelled and unlabelled data in the design of pattern classification systems.
Int. J. Approx. Reasoning 35(3): 251-273 (2004) |
| 2003 |
|---|
| 9 | | Dymitr Ruta,
Bogdan Gabrys:
Physical field models for pattern classification.
Soft Comput. 8(2): 126-141 (2003) |
| 2002 |
|---|
| 8 | | Dymitr Ruta,
Bogdan Gabrys:
New Measure of Classifier Dependency in Multiple Classifier Systems.
Multiple Classifier Systems 2002: 127-136 |
| 7 | | Dymitr Ruta,
Bogdan Gabrys:
Static Field Approach for Pattern Classification.
Soft-Ware 2002: 232-246 |
| 6 | | Bogdan Gabrys:
Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems.
Int. J. Approx. Reasoning 30(3): 149-179 (2002) |
| 5 | | Colin Fyfe,
Bogdan Gabrys:
Guest editorial introduction.
Knowl.-Based Syst. 15(1-2): 1-2 (2002) |
| 4 | | Dymitr Ruta,
Bogdan Gabrys:
A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems.
Pattern Anal. Appl. 5(4): 333-350 (2002) |
| 3 | | Bogdan Gabrys:
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network.
VLSI Signal Processing 32(1-2): 67-82 (2002) |
| 2001 |
|---|
| 2 | | Dymitr Ruta,
Bogdan Gabrys:
Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting.
Multiple Classifier Systems 2001: 399-408 |
| 2000 |
|---|
| 1 | | Bogdan Gabrys:
Pattern classification for incomplete data.
KES 2000: 454-457 |
