On the representation of training tables in a K-valued code and the construction of empirical regularities. - Ventzeslav Valev (ICPR, 1988)

Integer-valued problems of transforming the training tables in k-valued code in pattern recognition problems. - Ventzeslav Valev; Jurey Ivanovich Zhuravlev (Pattern Recognit., 1991)

A method of solving pattern or image recognition problems by learning Boolean formulas. - Ventzeslav Valev; Petia Radeva (ICPR (2), 1992)

Pictorial pattern recognition by Boolean formulas. - Ventzeslav Valev (Theoretical Foundations of Computer Vision, 1992)

A Model-Based Image Quantization Technique for Supervised Image Recognition. - Ventzeslav Valev (CAIP, 1993)

Construction of Boolean decision rules for ECG recognition by non-reducible descriptors. - Ventzeslav Valev; Petia Radeva (ICPR, 1996)

Set Partition Principles Revisited. - Ventzeslav Valev (SSPR/SPR, 1998)

Generalized Non-Reducible Descriptors. - Ventzeslav Valev; Bülent Sankur; Petia Radeva (ICPR, 2000)

A Decision-Tree Approach to the Discovery of Empirical Regularities. - Asai Asaithambi; Ventzeslav Valev (IRI, 2001)

Multidimensional pattern recognition problems and combining classifiers. - Ventzeslav Valev; Asai Asaithambi (Pattern Recognit. Lett., 2001)

On Computational Complexity of Non-Reducible Descriptors. - Ventzeslav Valev; Asai Asaithambi (IRI, 2003)

Supervised Pattern Recognition with Heterogeneous Features. - Ventzeslav Valev (CIARP, 2004)

Construction of all non-reducible descriptors. - Asai Asaithambi; Ventzeslav Valev (Pattern Recognit., 2004)

Supervised pattern recognition by parallel feature partitioning. - Ventzeslav Valev (Pattern Recognit., 2004)

Generalized non-reducible descriptors. - Ventzeslav Valev; Bülent Sankur (Pattern Recognit., 2004)

Machine learning of syndromes for different types of features. - Ventzeslav Valev (HPCS, 2011)

Classification using graph partitioning. - Ventzeslav Valev; Nicola Yanev (ICPR, 2012)

Classification algorithm of retina images of diabetic patients based on exudates detection. - Vesna Zeljkovic; Milena Bojic; Claude Tameze; Ventzeslav Valev (HPCS, 2012)

A framework for TV logos learning using linear inverse diffusion filters for noise removal. - Julián Ramos Cózar; Vesna Zeljkovic; José María González-Linares; Nicolás Guil; Claude Tameze; Ventzeslav Valev (HPCS, 2013)

Pre-Ictal phase detection algorithm based on one dimensional EEG signals and two dimensional formed images analysis. - Vesna Zeljkovic; Ventzeslav Valev; Claude Tameze; Milena Bojic (HPCS, 2013)

Exudates Detection and Classification Algorithm of Diabetic patients' Retina Images. - Vesna Zeljkovic; Milena Bojic; Claude Tameze; Ventzeslav Valev (J. Circuits Syst. Comput., 2013)

A new approach for binary feature selection and combining classifiers. - Asai Asaithambi; Ventzeslav Valev; Adam Krzyzak; Vesna Zeljkovic (HPCS, 2014)

Pre-ictal phase detection with SVMs. - Julián Ramos Cózar; Vesna Zeljkovic; José María González-Linares; Nicolás Guil; Milena Bojic; Ventzeslav Valev (HPCS, 2014)

Personal access control system using moving object detection and face recognition. - Vesna Zeljkovic; Du Zhang; Ventzeslav Valev; Zhongyu Zhang; Shengjie Zhu; Junjie Li (HPCS, 2014)

From binary features to Non-Reducible Descriptors in supervised pattern recognition problems. - Ventzeslav Valev (Pattern Recognit. Lett., 2014)

Automated nanostructure microscopic image characterization and analysis. - Vesna Zeljkovic; Claude Tameze; Darrin J. Pochan; Yingchao Chen; Ventzeslav Valev (HPCS, 2015)

Exudates and optic disk detection in retinal images of diabetic patients. - Vesna Zeljkovic; Milena Bojic; Shengwei Zhao; Claude Tameze; Ventzeslav Valev (Concurr. Comput. Pract. Exp., 2015)

A new geometrical approach for solving the supervised pattern recognition problem. - Ventzeslav Valev; Nicola Yanev; Adam Krzyzak (ICPR, 2016)

Supervised Classification Using Feature Space Partitioning. - Ventzeslav Valev; Nicola Yanev; Adam Krzyzak; Karima Ben Suliman (S+SSPR, 2018)

Supervised Classification Box Algorithm Based on Graph Partitioning. - Ventzeslav Valev; Nicola Yanev; Adam Krzyzak; Karima Ben Suliman (CORES, 2019)

Supervised classification using graph-based space partitioning. - Nicola Yanev; Ventzeslav Valev; Adam Krzyzak; Karima Ben Suliman (Pattern Recognit. Lett., 2019)

Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems. - Nicola Yanev; Ventzeslav Valev; Karima Ben Suliman; Adam Krzyzak (ICPR, 2020)

Taking Advantage of Typical Testor Algorithms for Computing Non-reducible Descriptors. - Manuel S. Lazo-Cortés; José Fco. Martínez-Trinidad; Jesús Ariel Carrasco-Ochoa; Ventzeslav Valev; Mohammad Amin Shamshiri; Adam Krzyzak (ICPRAM, 2022)

A New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts. - Guangyi Chen 001; Adam Krzyzak; Ventzeslav Valev (S+SSPR, 2022)

A Robust Preprocessing Method for Measuring Image Visual Quality Using Log-Polar FFT Features. - Guang Yi Chen 001; Adam Krzyzak; Ventzeslav Valev (IWAIPR, 2023)

Palmprint Classification via Filter Faces and Feature Extraction. - Guang Yi Chen 001; Adam Krzyzak; Ventzeslav Valev (ANNPR, 2024)