Georgi I. Nalbantov

According to our database, Georgi I. Nalbantov authored at least 21 papers between 2005 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Optimal Linear Combination of Classifiers.

Georgi Nalbantov, Svetoslav Ivanov

CoRR, 2021

Predictive Maintenance Tool for Non-Intrusive Inspection Systems.

Georgi Nalbantov, Dimitar Todorov, Nikolay Zografov, Stefan Georgiev, Nadia Bojilova

CoRR, 2021

Pathologies Prediction on Short ECG Signals with Focus on Feature Extraction Based on Beat Morphology and Image Deformation.

Jeffrey Van Prehn, Svetoslav Ivanov, Georgi Nalbantov

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Multi-Class Classification of Pathologies Found on Short ECG Signals.

Georgi Nalbantov, Svetoslav Ivanov, Jeffrey Van Prehn

Proceedings of the Computing in Cardiology, 2020

2019

Tutorial on Implied Posterior Probability for SVMs.

Georgi Nalbantov, Svetoslav Ivanov

CoRR, 2019

A Note on Posterior Probability Estimation for Classifiers.

Georgi Nalbantov, Svetoslav Ivanov

CoRR, 2019

2012

Sentence-based classification of free-text breast cancer radiology reports.

Aisan Maghsoodi, Merlijn Sevenster, Johannes Scholtes, Georgi I. Nalbantov

Proceedings of CBMS 2012, 2012

2011

Minimally-Sized Balanced Decomposition Schemes for Multi-class Classification.

Evgueni N. Smirnov, Matthijs Moed, Georgi I. Nalbantov, Ida G. Sprinkhuizen-Kuyper

Proceedings of the Ensembles in Machine Learning Applications, 2011

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.

Georgi I. Nalbantov, Andre Dekker, Dirk De Ruysscher, Philippe Lambin, Evgueni N. Smirnov

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

<i>k</i>-Version-Space Multi-class Classification Based on <i>k</i>-Consistency Tests.

Evgueni N. Smirnov, Georgi I. Nalbantov, Nikolay I. Nikolaev

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Image Mining for Intelligent Autonomous Coal Mining.

Georgi I. Nalbantov, Evgueni N. Smirnov, Dilyan I. Nalbantov, Gerhard Weiss, Karl Nienhaus, Manuel Warcholik, Fiona Mavroudis

Proceedings of the Advances in Data Mining. 10th Industrial Conference, 2010

Soft Nearest Convex Hull Classifier.

Georgi I. Nalbantov, Evgueni N. Smirnov

Proceedings of the ECAI 2010, 2010

Single-Stacking Conformity Approach to Reliable Classification.

Evgueni N. Smirnov, Nikolay I. Nikolaev, Georgi I. Nalbantov

Proceedings of the Artificial Intelligence: Methodology, 2010

2009

Meta-conformity approach to reliable classification.

Evgueni N. Smirnov, Georgi I. Nalbantov, A. M. Kaptein

Intell. Data Anal., 2009

2008

SVM-Maj: a majorization approach to linear support vector machines with different hinge errors.

Patrick J. F. Groenen, Georgi I. Nalbantov, Jan C. Bioch

Adv. Data Anal. Classif., 2008

Description Identification and the Consistency Problem.

Evgueni N. Smirnov, Nikolay Y. Nikolaev, Georgi I. Nalbantov

Proceedings of the Research and Development in Intelligent Systems XXV, 2008

2006

Nonlinear Support Vector Machines Through Iterative Majorization and I-Splines.

Patrick J. F. Groenen, Georgi I. Nalbantov, J. Cor Bioch

Proceedings of the Advances in Data Analysis, 2006

Classification with Support Hyperplanes.

Georgi I. Nalbantov, Jan C. Bioch, Patrick J. F. Groenen

Proceedings of the Machine Learning: ECML 2006, 2006

Version Space Support Vector Machines.

Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi I. Nalbantov, Stijn Vanderlooy

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

Reliable Instance Classification with Version Spaces.

Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi I. Nalbantov

Proceedings of the Research and Development in Intelligent Systems XXII, 2005

Solving and Interpreting Binary Classification Problems in Marketing with SVMs.

Georgi I. Nalbantov, Jan C. Bioch, Patrick J. F. Groenen

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005