Robert Burduk

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 44

Top Topics

Base Classifiers

Support Vector Machine

Scoring Functions

Top Venues

J. Univers. Comput. Sci.

Publications

Pawel Majewski, Mariusz Mrzyglód, Piotr Lampa, Robert Burduk, Jacek Reiner
Monitoring the growth of insect larvae using a regression convolutional neural network and knowledge transfer. Eng. Appl. Artif. Intell. 127 (Part B) (2024)
Pawel Majewski, Piotr Lampa, Robert Burduk, Jacek Reiner
Improved Pest Detection in Insect Larvae Rearing with Pseudo-Labelling and Spatio-Temporal Masking. VISIGRAPP (2): VISAPP (2024)
Pawel Trajdos, Robert Burduk, Andrzej Kasprzak
Combining Linear Classifiers Using Score Function Based on Distance to Decision Boundary. ICAISC (2) (2023)
Pawel Majewski, Piotr Lampa, Robert Burduk, Jacek Reiner
Mixing Augmentation and Knowledge-Based Techniques in Unsupervised Domain Adaptation for Segmentation of Edible Insect States. VISIGRAPP (5: VISAPP) (2023)
Pawel Parczyk, Robert Burduk
Battery Management System for Polish Hybrid Residential Photovoltaic Power Plants. CORES/IP&C (2023)
Pawel Majewski, Piotr Lampa, Robert Burduk, Jacek Reiner
Prediction of the remaining time of the foraging activity of honey bees using spatio-temporal correction and periodic model re-fitting. Comput. Electron. Agric. 205 (2023)
Robert Burduk
Recall and Selectivity Normalized in Class Labels as a Classification Performance Metric. ICDM (Workshops) (2023)
Robert Burduk
Relearning Ensemble Selection Based on New Generated Features. ACIIDS (2) (2022)
Bartosz Poskart, Grzegorz Iskierka, Kamil Krot, Robert Burduk, Pawel Gwizdal, Arkadiusz Gola
Multi-Parameter Predictive Model of Mobile Robot's Battery Discharge for Intelligent Mission Planning in Multi-Robot Systems. Sensors 22 (24) (2022)
Michal Choras, Robert Burduk, Rafal Kozik, Jörg Keller
Advances and Practical Applications of Deep and Shallow Machine Learning. J. Univers. Comput. Sci. 28 (3) (2022)
Michal Choras, Robert Burduk, Agata Gielczyk, Rafal Kozik, Tomasz Marciniak
Advances in Computer Recognition, Image Processing and Communications. Entropy 24 (1) (2022)
Robert Burduk, Jedrzej Biedrzycki
Subspace-based decision trees integration. Inf. Sci. 592 (2022)
Pawel Trajdos, Robert Burduk
Probability-driven scoring functions in combining linear classifiers. J. Univers. Comput. Sci. 28 (3) (2022)
Pawel Ksieniewicz, Pawel Zyblewski, Robert Burduk
Fusion of linear base classifiers in geometric space. Knowl. Based Syst. 227 (2021)
Jakub Klikowski, Robert Burduk
Distance Metrics in Clustering and Weighted Scoring Algorithm. CORES/IP&C/ACS (2021)
Jakub Klikowski, Robert Burduk
Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters. ICCS (3) (2021)
Pawel Trajdos, Robert Burduk
Linear classifier combination via multiple potential functions. Pattern Recognit. 111 (2021)
Robert Burduk
Relearning ensemble selection based on new generated features. CoRR (2021)
Pawel Trajdos, Robert Burduk
Probability-driven scoring functions in combining linear classifiers. CoRR (2021)
Pawel Trajdos, Robert Burduk
Combining Linear Classifiers Using Probability-Based Potential Functions. IEEE Access 8 (2020)
Robert Burduk
Classification Performance Metric for Imbalance Data Based on Recall and Selectivity Normalized in Class Labels. CoRR (2020)
Jedrzej Biedrzycki, Robert Burduk
Decision Tree Integration Using Dynamic Regions of Competence. Entropy 22 (10) (2020)
Jedrzej Biedrzycki, Robert Burduk
Integration of Decision Trees Using Distance to Centroid and to Decision Boundary. J. Univers. Comput. Sci. 26 (6) (2020)
Jedrzej Biedrzycki, Robert Burduk
Weighted Scoring in Geometric Space for Decision Tree Ensemble. IEEE Access 8 (2020)
Pawel Ksieniewicz, Robert Burduk
Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification. ICCS (4) (2020)
Paulina Heda, Izabela Rojek, Robert Burduk
Dynamic Ensemble Selection - Application to Classification of Cutting Tools. CISIM (2020)
Pawel Trajdos, Robert Burduk
Linear Classifier Combination via Multiple Potential Functions. CoRR (2020)
Robert Burduk, Wojciech Bozejko, Szymon Zacher
Novel Approach to Gentle AdaBoost Algorithm with Linear Weak Classifiers. ACIIDS (1) (2020)
Robert Burduk, Wojciech Bozejko
Gentle AdaBoost Algorithm with Score Function Dependent on the Distance to Decision Boundary. CISIM (2019)
Pawel Trajdos, Robert Burduk
Combination of linear classifiers using score function - analysis of possible combination strategies. CoRR (2019)
Robert Burduk, Jedrzej Biedrzycki
Integration and Selection of Linear SVM Classifiers in Geometric Space. J. Univers. Comput. Sci. 25 (6) (2019)
Pawel Trajdos, Robert Burduk
Combination of Linear Classifiers Using Score Function - Analysis of Possible Combination Strategies. CORES (2019)
Robert Burduk, Wojciech Bozejko
Modified Score Function and Linear Weak Classifiers in LogitBoost Algorithm. IP&C (2019)
Robert Burduk, Jedrzej Biedrzycki
Integration of Linear SVM Classifiers in Geometric Space Using the Median. IP&C (2018)
Robert Burduk, Andrzej Kasprzak
The Use of Geometric Mean in the Process of Integration of Three Base Classifiers. CISIM (2018)
Robert Burduk
Integration Base Classifiers in Geometry Space by Harmonic Mean. ICAISC (1) (2018)
Robert Burduk
Drift Detection Algorithm Using the Discriminant Function of the Base Classifiers. CORES (2017)
Robert Burduk
The AdaBoost Algorithm with Linear Modification of the Weights. IP&C (2017)
Robert Burduk
Integration Base Classifiers Based on Their Decision Boundary. ICAISC (2) (2017)
Izabela Rejer, Robert Burduk
Classifier Selection for Motor Imagery Brain Computer Interface. CISIM (2017)
Robert Burduk, Paulina Baczynska
Ensemble of Classifiers with Modification of Confidence Values. CISIM (2016)
Robert Burduk, Paulina Heda
Homogeneous Ensemble Selection - Experimental Studies. ACS (2016)
Robert Burduk
Active Learning Algorithm Using the Discrimination Function of the Base Classifiers. IP&C (2016)
Robert Burduk, Paulina Baczynska
Dynamic Ensemble Selection Using Discriminant Functions and Normalization Between Class Labels - Approach to Binary Classification. ICAISC (1) (2016)
Paulina Baczynska, Robert Burduk
Ensemble Selection Based on Discriminant Functions in Binary Classification Task. IDEAL (2015)
Robert Burduk, Krzysztof Walkowiak
Static Classifier Selection with Interval Weights of Base Classifiers. ACIIDS (1) (2015)
Paulina Baczynska, Robert Burduk
Classifier Selection Uses Decision Profiles in Binary Classification Task. IP&C (2015)
Robert Burduk
Discriminant Function Selection in Binary Classification Task. CORES (2015)
Robert Burduk
The AdaBoost Algorithm with the Imprecision Determine the Weights of the Observations. ACIIDS (2) (2014)
Robert Burduk
Method of Static Classifiers Selection Using the Weights of Base Classifiers. ACS (2014)
Robert Burduk, Pawel Trajdos
Construction of Sequential Classifier Based on MacArthur's Overlapping Niches Model. IP&C (2013)
Robert Burduk, Pawel Trajdos
Construction of Sequential Classifier Using Confusion Matrix. CISIM (2013)
Robert Burduk
The Method of Improving the Structure of the Decision Tree Given by the Experts. CORES (2013)
Robert Burduk, Pawel Trajdos
Construction of Sequential Classifier Based on Broken Stick Model. HAIS (2013)
Robert Burduk
Classifier fusion with interval-valued weights. Pattern Recognit. Lett. 34 (14) (2013)
Robert Burduk
On the Bounds on Optimal Bayes Error in the Task of Multiple Data Sources. IP&C (2012)
Robert Burduk
Recognition Task with Feature Selection and Weighted Majority Voting Based on Interval-Valued Fuzzy Sets. ICCCI (1) (2012)
Robert Burduk, Marcin Zmyslony
Decomposition of Classification Task with Selection of Classifiers on the Medical Diagnosis Example. HAIS (2) (2012)
Robert Burduk
Imprecise information in Bayes classifier. Pattern Anal. Appl. 15 (2) (2012)
Robert Burduk
Comparison of Cost for Zero-One and Stage-Dependent Fuzzy Loss Function. ACIIDS (1) (2012)
Robert Burduk
New AdaBoost Algorithm Based on Interval-Valued Fuzzy Sets. IDEAL (2012)
Robert Burduk
Costs-Sensitive Classification in Multistage Classifier with Fuzzy Observations of Object Features. HAIS (2) (2011)
Robert Burduk, Andrzej Kasprzak
Costs-Sensitive Classification in Two-Stage Binary Classifier. IP&C (2011)
Robert Burduk
Estimations of the Error in Bayes Classifier with Fuzzy Observations. ICCCI (1) (2011)
Robert Burduk
Some characteristics of an error in the two-class problem with fuzzy observations. ISDA (2010)
Robert Burduk
A Partition of Feature Space Based on Information Energy in Classification with Fuzzy Observations. IP&C (2010)
Robert Burduk
Classification error in Bayes multistage recognition task with fuzzy observations. Pattern Anal. Appl. 13 (1) (2010)
Robert Burduk
Randomness and Fuzziness in Bayes Multistage Classifier. HAIS (1) (2010)
Robert Burduk
Interval-Valued Fuzzy Observations in Bayes Classifier. IDEAL (2009)
Robert Burduk
Probability Error in Global Optimal Hierarchical Classifier with Intuitionistic Fuzzy Observations. HAIS (2009)
Robert Burduk
Probability Error in Bayes Optimal Classifier with Intuitionistic Fuzzy Observations. ICIAR (2009)
Robert Burduk, Michal Wozniak
Bayes Multistage Classifier and Boosted C4.5 Algorithm in Acute Abdominal Pain Diagnosis. ICMMI (2009)
Robert Burduk
Fuzzy Data in Local Optimal Strategy of Multistage Recognition. CISIM (2007)
Robert Burduk, Marek Kurzynski
Two-stage binary classifier with fuzzy-valued loss function. Pattern Anal. Appl. 9 (4) (2006)
Robert Burduk
Selection of Fuzzy-Valued Loss Function in Two Stage Binary Classifier. CORES (2005)
Robert Burduk
Probability of Misclassification in Bayesian Hierarchical Classifier. Intelligent Information Systems (2005)