Przemysław Klęsk

About Przemysław Klęsk

Przemysław Klęsk, With an exceptional h-index of 7 and a recent h-index of 5 (since 2020), a distinguished researcher at Zachodniopomorski Uniwersytet Technologiczny w Szczecinie, specializes in the field of pattern recognition, machine learning, search algorithms, computer science.

His recent articles reflect a diverse array of research interests and contributions to the field:

FastRealBoostBins: An ensemble classifier for fast predictions implemented in Python via numba. jit and numba. cuda

Logarithmic Least Squares criterion revisited for general matrices of pairwise comparisons

Extended Zernike invariants backed with complex-valued integral images for detection tasks

Can Boosted Randomness Mimic Learning Algorithms of Geometric Nature? Example of a Simple Algorithm That Converges in Probability to Hard-Margin SVM

Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images

Branch-and-bound search for training cascades of classifiers

Relaxed Per-Stage Requirements for Training Cascades of Classifiers

Przemysław Klęsk Information

University

Position

Poland

Citations(all)

187

Citations(since 2020)

104

Cited By

136

hIndex(all)

7

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Przemysław Klęsk Skills & Research Interests

pattern recognition

machine learning

search algorithms

computer science

Top articles of Przemysław Klęsk

Title

Journal

Author(s)

Publication Date

FastRealBoostBins: An ensemble classifier for fast predictions implemented in Python via numba. jit and numba. cuda

SoftwareX

Przemysław Klęsk

2024/5/1

Logarithmic Least Squares criterion revisited for general matrices of pairwise comparisons

Procedia Computer Science

Przemysław Klęsk

2021/1/1

Extended Zernike invariants backed with complex-valued integral images for detection tasks

Procedia Computer Science

Przemysław Klęsk

Aneta Bera

Dariusz Sychel

2021/1/1

Can Boosted Randomness Mimic Learning Algorithms of Geometric Nature? Example of a Simple Algorithm That Converges in Probability to Hard-Margin SVM

IEEE Transactions on Neural Networks and Learning Systems

Przemysław Klęsk

Marcin Korzeń

2021/3/17

Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images

Przemysław Klęsk

Aneta Bera

Dariusz Sychel

2020/6/3

Branch-and-bound search for training cascades of classifiers

Dariusz Sychel

Przemysław Klęsk

Aneta Bera

2020/6/3

Relaxed Per-Stage Requirements for Training Cascades of Classifiers

Dariusz Sychel

Przemysław Klȩsk

Aneta Bera

2020

See List of Professors in Przemysław Klęsk University(Zachodniopomorski Uniwersytet Technologiczny w Szczecinie)

Co-Authors

academic-engine