Selection of Fuzzy-Valued Loss Function in Two Stage Binary Classifier. - Robert Burduk (CORES, 2005)

Probability of Misclassification in Bayesian Hierarchical Classifier. - Robert Burduk (Intelligent Information Systems, 2005)

Two-stage binary classifier with fuzzy-valued loss function. - Robert Burduk; Marek Kurzynski (Pattern Anal. Appl., 2006)

Fuzzy Data in Local Optimal Strategy of Multistage Recognition. - Robert Burduk (CISIM, 2007)

Classification Accuracy in Local Optimal Strategy of Multistage Recognition with Fuzzy Data. - Robert Burduk (Computer Recognition Systems 2, 2008)

Possibility of Use a Fuzzy Loss Function in Medical Diagnostics. - Robert Burduk (Information Technologies in Biomedicine, 2008)

Stage-Dependent Fuzzy-valued Loss Function in Two-Stage Binary Classifier. - Robert Burduk (Innovations in Hybrid Intelligent Systems, 2008)

Probability Error in Global Optimal Hierarchical Classifier with Intuitionistic Fuzzy Observations. - Robert Burduk (HAIS, 2009)

Probability Error in Bayes Optimal Classifier with Intuitionistic Fuzzy Observations. - Robert Burduk (ICIAR, 2009)

Bayes Multistage Classifier and Boosted C4.5 Algorithm in Acute Abdominal Pain Diagnosis. - Robert Burduk; Michal Wozniak 001 (ICMMI, 2009)

Interval-Valued Fuzzy Observations in Bayes Classifier. - Robert Burduk (IDEAL, 2009)

Intuitionistic Fuzzy Observations in Local Optimal Hierarchical Classifier. - Robert Burduk (Computer Recognition Systems 3, 2009)

Randomness and Fuzziness in Bayes Multistage Classifier. - Robert Burduk (HAIS (1), 2010)

A Partition of Feature Space Based on Information Energy in Classification with Fuzzy Observations. - Robert Burduk (IP&C, 2010)

Some characteristics of an error in the two-class problem with fuzzy observations. - Robert Burduk (ISDA, 2010)

Classification error in Bayes multistage recognition task with fuzzy observations. - Robert Burduk (Pattern Anal. Appl., 2010)

Costs-Sensitive Classification in Multistage Classifier with Fuzzy Observations of Object Features. - Robert Burduk (HAIS (2), 2011)

Estimations of the Error in Bayes Classifier with Fuzzy Observations. - Robert Burduk (ICCCI (1), 2011)

Costs-Sensitive Classification in Two-Stage Binary Classifier. - Robert Burduk; Andrzej Kasprzak (IP&C, 2011)

Some Properties of Binary Classifier with Fuzzy-Valued Loss Function. - Robert Burduk (Computer Recognition Systems 4, 2011)

Comparison of Cost for Zero-One and Stage-Dependent Fuzzy Loss Function. - Robert Burduk (ACIIDS (1), 2012)

Decomposition of Classification Task with Selection of Classifiers on the Medical Diagnosis Example. - Robert Burduk; Marcin Zmyslony (HAIS (2), 2012)

Recognition Task with Feature Selection and Weighted Majority Voting Based on Interval-Valued Fuzzy Sets. - Robert Burduk (ICCCI (1), 2012)

New AdaBoost Algorithm Based on Interval-Valued Fuzzy Sets. - Robert Burduk (IDEAL, 2012)

On the Bounds on Optimal Bayes Error in the Task of Multiple Data Sources. - Robert Burduk (IP&C, 2012)

Imprecise information in Bayes classifier. - Robert Burduk (Pattern Anal. Appl., 2012)

Construction of Sequential Classifier Using Confusion Matrix. - Robert Burduk; Pawel Trajdos (CISIM, 2013)

The Method of Improving the Structure of the Decision Tree Given by the Experts. - Robert Burduk (CORES, 2013)

Construction of Sequential Classifier Based on Broken Stick Model. - Robert Burduk; Pawel Trajdos (HAIS, 2013)

Construction of Sequential Classifier Based on MacArthur's Overlapping Niches Model. - Robert Burduk; Pawel Trajdos (IP&C, 2013)

Classifier fusion with interval-valued weights. - Robert Burduk (Pattern Recognit. Lett., 2013)

The AdaBoost Algorithm with the Imprecision Determine the Weights of the Observations. - Robert Burduk (ACIIDS (2), 2014)

Method of Static Classifiers Selection Using the Weights of Base Classifiers. - Robert Burduk (ACS, 2014)

Static Classifier Selection with Interval Weights of Base Classifiers. - Robert Burduk; Krzysztof Walkowiak (ACIIDS (1), 2015)

Discriminant Function Selection in Binary Classification Task. - Robert Burduk (CORES, 2015)

Ensemble Selection Based on Discriminant Functions in Binary Classification Task. - Paulina Baczynska; Robert Burduk (IDEAL, 2015)

Classifier Selection Uses Decision Profiles in Binary Classification Task. - Paulina Baczynska; Robert Burduk (IP&C, 2015)

Homogeneous Ensemble Selection - Experimental Studies. - Robert Burduk; Paulina Heda (ACS, 2016)

Ensemble of Classifiers with Modification of Confidence Values. - Robert Burduk; Paulina Baczynska (CISIM, 2016)

Dynamic Ensemble Selection Using Discriminant Functions and Normalization Between Class Labels - Approach to Binary Classification. - Robert Burduk; Paulina Baczynska (ICAISC (1), 2016)

Active Learning Algorithm Using the Discrimination Function of the Base Classifiers. - Robert Burduk (IP&C, 2016)

Classifier Selection for Motor Imagery Brain Computer Interface. - Izabela Rejer; Robert Burduk (CISIM, 2017)

Drift Detection Algorithm Using the Discriminant Function of the Base Classifiers. - Robert Burduk (CORES, 2017)

Integration Base Classifiers Based on Their Decision Boundary. - Robert Burduk (ICAISC (2), 2017)

The AdaBoost Algorithm with Linear Modification of the Weights. - Robert Burduk (IP&C, 2017)

The Use of Geometric Mean in the Process of Integration of Three Base Classifiers. - Robert Burduk; Andrzej Kasprzak (CISIM, 2018)

Integration Base Classifiers in Geometry Space by Harmonic Mean. - Robert Burduk (ICAISC (1), 2018)

Integration of Linear SVM Classifiers in Geometric Space Using the Median. - Robert Burduk; Jedrzej Biedrzycki (IP&C, 2018)

Gentle AdaBoost Algorithm with Score Function Dependent on the Distance to Decision Boundary. - Robert Burduk; Wojciech Bozejko (CISIM, 2019)

Combination of Linear Classifiers Using Score Function - Analysis of Possible Combination Strategies. - Pawel Trajdos; Robert Burduk (CORES, 2019)

Modified Score Function and Linear Weak Classifiers in LogitBoost Algorithm. - Robert Burduk; Wojciech Bozejko (IP&C, 2019)

Integration and Selection of Linear SVM Classifiers in Geometric Space. - Robert Burduk; Jedrzej Biedrzycki (J. Univers. Comput. Sci., 2019)

Novel Approach to Gentle AdaBoost Algorithm with Linear Weak Classifiers. - Robert Burduk; Wojciech Bozejko; Szymon Zacher (ACIIDS (1), 2020)

Dynamic Ensemble Selection - Application to Classification of Cutting Tools. - Paulina Heda; Izabela Rojek; Robert Burduk (CISIM, 2020)

Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification. - Pawel Ksieniewicz; Robert Burduk (ICCS (4), 2020)

Weighted Scoring in Geometric Space for Decision Tree Ensemble. - Jedrzej Biedrzycki; Robert Burduk (IEEE Access, 2020)

Combining Linear Classifiers Using Probability-Based Potential Functions. - Pawel Trajdos; Robert Burduk (IEEE Access, 2020)

Classification Performance Metric for Imbalance Data Based on Recall and Selectivity Normalized in Class Labels. - Robert Burduk (CoRR, 2020)

Decision Tree Integration Using Dynamic Regions of Competence. - Jedrzej Biedrzycki; Robert Burduk (Entropy, 2020)

Integration of Decision Trees Using Distance to Centroid and to Decision Boundary. - Jedrzej Biedrzycki; Robert Burduk (J. Univers. Comput. Sci., 2020)

Distance Metrics in Clustering and Weighted Scoring Algorithm. - Jakub Klikowski; Robert Burduk (CORES/IP&C/ACS, 2021)

Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters. - Jakub Klikowski; Robert Burduk (ICCS (3), 2021)

Fusion of linear base classifiers in geometric space. - Pawel Ksieniewicz; Pawel Zyblewski; Robert Burduk (Knowl. Based Syst., 2021)

Linear classifier combination via multiple potential functions. - Pawel Trajdos; Robert Burduk (Pattern Recognit., 2021)

Relearning Ensemble Selection Based on New Generated Features. - Robert Burduk (ACIIDS (2), 2022)

Advances in Computer Recognition, Image Processing and Communications. - Michal Choras; Robert Burduk; Agata Gielczyk; Rafal Kozik; Tomasz Marciniak (Entropy, 2022)

Subspace-based decision trees integration. - Robert Burduk; Jedrzej Biedrzycki (Inf. Sci., 2022)

Advances and Practical Applications of Deep and Shallow Machine Learning. - Michal Choras; Robert Burduk; Rafal Kozik; Jörg Keller 001 (J. Univers. Comput. Sci., 2022)

Probability-driven scoring functions in combining linear classifiers. - Pawel Trajdos; Robert Burduk (J. Univers. Comput. Sci., 2022)

Multi-Parameter Predictive Model of Mobile Robot's Battery Discharge for Intelligent Mission Planning in Multi-Robot Systems. - Bartosz Poskart; Grzegorz Iskierka; Kamil Krot; Robert Burduk; Pawel Gwizdal; Arkadiusz Gola (Sensors, 2022)

Battery Management System for Polish Hybrid Residential Photovoltaic Power Plants. - Pawel Parczyk; Robert Burduk (CORES/IP&C, 2023)

Combining Linear Classifiers Using Score Function Based on Distance to Decision Boundary. - Pawel Trajdos; Robert Burduk; Andrzej Kasprzak (ICAISC (2), 2023)

Recall and Selectivity Normalized in Class Labels as a Classification Performance Metric. - Robert Burduk (ICDM (Workshops), 2023)

Mixing Augmentation and Knowledge-Based Techniques in Unsupervised Domain Adaptation for Segmentation of Edible Insect States. - Pawel Majewski; Piotr Lampa; Robert Burduk; Jacek Reiner (VISIGRAPP (5: VISAPP), 2023)

Prediction of the remaining time of the foraging activity of honey bees using spatio-temporal correction and periodic model re-fitting. - Pawel Majewski; Piotr Lampa; Robert Burduk; Jacek Reiner (Comput. Electron. Agric., 2023)

Optimisation of Battery Energy Storage Systems Capacity for Purpose to Reduce Energy Cost. - Pawel Parczyk; Robert Burduk (CISIM, 2024)

End-to-end Solution for Tenebrio Molitor Rearing Monitoring with Uncertainty Estimation and Domain Shift Detection. - Pawel Majewski; Piotr Lampa; Robert Burduk; Jacek Reiner (CVPR Workshops, 2024)

On the classification of weather based on the production of photovoltaic installations. - Pawel Parczyk; Tobiasz Puslecki; Robert Burduk (ICDM (Workshops), 2024)

Improved Pest Detection in Insect Larvae Rearing with Pseudo-Labelling and Spatio-Temporal Masking. - Pawel Majewski; Piotr Lampa; Robert Burduk; Jacek Reiner (VISIGRAPP (2): VISAPP, 2024)

Ensemble of classifiers based on score function defined by clusters and decision boundary of linear base learners. - Pawel Trajdos; Robert Burduk (Knowl. Based Syst., 2024)

Monitoring the growth of insect larvae using a regression convolutional neural network and knowledge transfer. - Pawel Majewski; Mariusz Mrzyglód; Piotr Lampa; Robert Burduk; Jacek Reiner (Eng. Appl. Artif. Intell., 2024)