The Jeep Problem, searching for the best strategy with a genetic algorithm. - Przemyslaw Klesk (Information Processing and Security Systems, 2005)

Algorithm for Automatic Definition of Validated and Non-Validated Region in Multi-Dimensional Space. - Przemyslaw Klesk (Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems, 2005)

Maximal Margin Estimation with Perceptron-Like Algorithm. - Marcin Korzen; Przemyslaw Klesk (ICAISC, 2008)

Market Trajectory Recognition and Trajectory Prediction Using Markov Models. - Przemyslaw Klesk; Antoni Wilinski (ICAISC (1), 2010)

Probabilities of discrepancy between minima of cross-validation, Vapnik bounds and true risks. - Przemyslaw Klesk (Int. J. Appl. Math. Comput. Sci., 2010)

A Relationship between Cross-validation and Vapnik Bounds on Generalization of Learning Machines. - Przemyslaw Klesk (ICAART (1), 2011)

Probabilistic Connection between Cross-Validation and Vapnik Bounds. - Przemyslaw Klesk (ICAART (Revised Selected Papers), 2011)

Sets of approximating functions with finite Vapnik-Chervonenkis dimension for nearest-neighbors algorithms. - Przemyslaw Klesk; Marcin Korzen (Pattern Recognit. Lett., 2011)

Probabilistic Estimation of Vapnik-Chervonenkis Dimension. - Przemyslaw Klesk (ICAART (1), 2012)

A Comparison of Complexity Selection Approaches for Polynomials Based on: Vapnik-Chervonenkis Dimension, Rademacher Complexity and Covering Numbers. - Przemyslaw Klesk (ICAISC (2), 2012)

Sample Complexity of Linear Learning Machines with Different Restrictions over Weights. - Marcin Korzen; Przemyslaw Klesk (ICAISC (2), 2012)

Landmine Detection in 3D Images from Ground Penetrating Radar Using Haar-Like Features. - Przemyslaw Klesk; Andrzej Godziuk; Mariusz Kapruziak; Bogdan Olech (ICAISC (1), 2013)

Logistic regression with weight grouping priors. - Marcin Korzen; Szymon Jaroszewicz; Przemyslaw Klesk (Comput. Stat. Data Anal., 2013)

Boosted Classifiers for Antitank Mine Detection in C-Scans from Ground-Penetrating Radar. - Przemyslaw Klesk; Mariusz Kapruziak; Bogdan Olech (ACS, 2014)

A Comparison of Shallow Decision Trees Under Real-Boost Procedure with Application to Landmine Detection Using Ground Penetrating Radar. - Przemyslaw Klesk; Mariusz Kapruziak; Bogdan Olech (ICAISC (1), 2015)

Fast Analysis of C-Scans From Ground Penetrating Radar via 3-D Haar-Like Features With Application to Landmine Detection. - Przemyslaw Klesk; Andrzej Godziuk; Mariusz Kapruziak; Bogdan Olech (IEEE Trans. Geosci. Remote. Sens., 2015)

Quick Real-Boost with: Weight Trimming, Exponential Impurity, Bins, and Pruning. - Przemyslaw Klesk (ICAISC (1), 2016)

Fast Extraction of 3D Fourier Moments via Multiple Integral Images: An Application to Antitank Mine Detection in GPR C-Scans. - Przemyslaw Klesk; Mariusz Kapruziak; Bogdan Olech (ICCVG, 2016)

Constant-Time Fourier Moments for Face Detection - Can Accuracy of Haar-Like Features Be Beaten? - Przemyslaw Klesk (ICAISC (1), 2017)

Constant-time Extraction of Statistical Moments for Object Detection Procedures. - Przemyslaw Klesk; Aneta Bera (ICPRAM, 2018)

Notes on Expected Computational Cost of Classifiers Cascade: A Geometric View. - Dariusz Sychel; Przemyslaw Klesk; Aneta Bera (ICPRAM, 2018)

Statistical moments calculated via integral images in application to landmine detection from Ground Penetrating Radar 3D scans. - Przemyslaw Klesk; Mariusz Kapruziak; Bogdan Olech (Pattern Anal. Appl., 2018)

From Synthetic Images Towards Detectors of Real Objects: A Case Study on Road Sign Detection. - Przemyslaw Klesk (ICAISC (2), 2019)

Constant-Time Calculation of Zernike Moments for Detection with Rotational Invariance. - Aneta Bera; Przemyslaw Klesk; Dariusz Sychel (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Relaxed Per-Stage Requirements for Training Cascades of Classifiers. - Dariusz Sychel; Przemyslaw Klesk; Aneta Bera (ECAI, 2020)

Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images. - Przemyslaw Klesk; Aneta Bera; Dariusz Sychel (ICCS (3), 2020)

Branch-and-Bound Search for Training Cascades of Classifiers. - Dariusz Sychel; Przemyslaw Klesk; Aneta Bera (ICCS (4), 2020)

Logarithmic Least Squares criterion revisited for general matrices of pairwise comparisons. - Przemyslaw Klesk (KES, 2021)

Extended Zernike invariants backed with complex-valued integral images for detection tasks. - Przemyslaw Klesk; Aneta Bera; Dariusz Sychel (KES, 2021)

Can Boosted Randomness Mimic Learning Algorithms of Geometric Nature? Example of a Simple Algorithm That Converges in Probability to Hard-Margin SVM. - Przemyslaw Klesk; Marcin Korzen (IEEE Trans. Neural Networks Learn. Syst., 2021)

Rotationally Invariant Object Detection on Video Using Zernike Moments Backed with Integral Images and Frame Skipping Technique. - Aneta Bera; Dariusz Sychel; Przemyslaw Klesk (ICCS (2), 2024)

Cascade Training as a Tree Search with Dijkstra's Algorithm. - Dariusz Sychel; Aneta Bera; Przemyslaw Klesk (ICCS (2), 2024)

FastRealBoostBins: An ensemble classifier for fast predictions implemented in Python via numba.jit and numba.cuda. - Przemyslaw Klesk (SoftwareX, 2024)

Double Q-Learning for a Simple Parking Problem: Propositions of Reward Functions and State Representations. - Przemyslaw Klesk (ICAART (1), 2025)

MCTS-NC: A thorough GPU parallelization of Monte Carlo Tree Search implemented in Python via numba.cuda. - Przemyslaw Klesk (SoftwareX, 2025)