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ORCIDGeorgi I. Nalbantov
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2020 – today
- 2021
[c14]Jeffrey Van Prehn, Svetoslav Ivanov, Georgi Nalbantov:
Pathologies Prediction on Short ECG Signals with Focus on Feature Extraction Based on Beat Morphology and Image Deformation. CinC 2021: 1-4- [i4]Georgi Nalbantov, Dimitar Todorov, Nikolay Zografov, Stefan Georgiev, Nadia Bojilova:
Predictive Maintenance Tool for Non-Intrusive Inspection Systems. CoRR abs/2103.01044 (2021) - [i3]Georgi Nalbantov, Svetoslav Ivanov:
Optimal Linear Combination of Classifiers. CoRR abs/2103.01109 (2021) - 2020
- [c13]Georgi Nalbantov, Svetoslav Ivanov, Jeffrey Van Prehn:
Multi-Class Classification of Pathologies Found on Short ECG Signals. CinC 2020: 1-4
2010 – 2019
- 2019
- [i2]Georgi Nalbantov, Svetoslav Ivanov:
A Note on Posterior Probability Estimation for Classifiers. CoRR abs/1909.05894 (2019) - [i1]Georgi Nalbantov, Svetoslav Ivanov:
Tutorial on Implied Posterior Probability for SVMs. CoRR abs/1910.00062 (2019) - 2012
- [c12]Aisan Maghsoodi, Merlijn Sevenster, Johannes Scholtes, Georgi I. Nalbantov:
Sentence-based classification of free-text breast cancer radiology reports. CBMS 2012: 1-4 - 2011
- [c11]Georgi I. Nalbantov, Andre Dekker
, Dirk De Ruysscher, Philippe Lambin, Evgueni N. Smirnov:
The Combination of Clinical, Dose-Related and Imaging Features Helps Predict Radiation-Induced Normal-Tissue Toxicity in Lung-cancer Patients - An in-silico Trial Using Machine Learning Techniques. ICMLA (2) 2011: 220-224 - [p1]Evgueni N. Smirnov, Matthijs Moed, Georgi I. Nalbantov, Ida G. Sprinkhuizen-Kuyper:
Minimally-Sized Balanced Decomposition Schemes for Multi-class Classification. Ensembles in Machine Learning Applications 2011: 39-58 - 2010
- [c10]Evgueni N. Smirnov, Nikolay I. Nikolaev, Georgi I. Nalbantov:
Single-Stacking Conformity Approach to Reliable Classification. AIMSA 2010: 161-170 - [c9]Georgi I. Nalbantov, Evgueni N. Smirnov:
Soft Nearest Convex Hull Classifier. ECAI 2010: 841-846 - [c8]Georgi I. Nalbantov, Evgueni N. Smirnov, Dilyan I. Nalbantov, Gerhard Weiss, Karl Nienhaus, Manuel Warcholik, Fiona Mavroudis:
Image Mining for Intelligent Autonomous Coal Mining. ICDM (Poster and Industry Proceedings) 2010: 17-23 - [c7]Evgueni N. Smirnov, Georgi I. Nalbantov, Nikolay I. Nikolaev:
k-Version-Space Multi-class Classification Based on k-Consistency Tests. ECML/PKDD (3) 2010: 277-292
2000 – 2009
- 2009
- [j2]Evgueni N. Smirnov, Georgi I. Nalbantov, A. M. Kaptein:
Meta-conformity approach to reliable classification. Intell. Data Anal. 13(6): 901-915 (2009) - 2008
- [j1]Patrick J. F. Groenen, Georgi I. Nalbantov, Jan C. Bioch:
SVM-Maj: a majorization approach to linear support vector machines with different hinge errors. Adv. Data Anal. Classif. 2(1): 17-43 (2008) - [c6]Evgueni N. Smirnov, Nikolay Y. Nikolaev, Georgi I. Nalbantov:
Description Identification and the Consistency Problem. SGAI Conf. 2008: 61-74 - 2006
- [c5]Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi I. Nalbantov, Stijn Vanderlooy:
Version Space Support Vector Machines. ECAI 2006: 809-810 - [c4]Georgi I. Nalbantov, Jan C. Bioch, Patrick J. F. Groenen:
Classification with Support Hyperplanes. ECML 2006: 703-710 - [c3]Patrick J. F. Groenen, Georgi I. Nalbantov, J. Cor Bioch:
Nonlinear Support Vector Machines Through Iterative Majorization and I-Splines. GfKl 2006: 149-161 - 2005
- [c2]Georgi I. Nalbantov, Jan C. Bioch, Patrick J. F. Groenen:
Solving and Interpreting Binary Classification Problems in Marketing with SVMs. GfKl 2005: 566-573 - [c1]Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi I. Nalbantov:
Reliable Instance Classification with Version Spaces. SGAI Conf. 2005: 288-301
Coauthor Index
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