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Robert Burduk
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2020 – today
- 2024
- [j19]Pawel Majewski
, Mariusz Mrzyglód, Piotr Lampa
Monitoring the growth of insect larvae using a regression convolutional neural network and knowledge transfer. Eng. Appl. Artif. Intell. 127(Part B): 107358 (2024) - [j18]Pawel Trajdos
Ensemble of classifiers based on score function defined by clusters and decision boundary of linear base learners. Knowl. Based Syst. 303: 112411 (2024) - [c55]Pawel Parczyk
Optimisation of Battery Energy Storage Systems Capacity for Purpose to Reduce Energy Cost. CISIM 2024: 414-427 - [c54]Pawel Majewski, Piotr Lampa, Robert Burduk, Jacek Reiner:
End-to-end Solution for Tenebrio Molitor Rearing Monitoring with Uncertainty Estimation and Domain Shift Detection. CVPR Workshops 2024: 5498-5507 - [c53]Pawel Majewski
Improved Pest Detection in Insect Larvae Rearing with Pseudo-Labelling and Spatio-Temporal Masking. VISIGRAPP (2): VISAPP 2024: 349-356 - 2023
- [j17]Pawel Majewski
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: 107596 (2023) - [c52]Pawel Parczyk
Battery Management System for Polish Hybrid Residential Photovoltaic Power Plants. CORES/IP&C 2023: 201-209 - [c51]Pawel Trajdos
Combining Linear Classifiers Using Score Function Based on Distance to Decision Boundary. ICAISC (2) 2023: 402-411 - [c50]Robert Burduk:
Recall and Selectivity Normalized in Class Labels as a Classification Performance Metric. ICDM (Workshops) 2023: 894-902 - [c49]Pawel Majewski
Mixing Augmentation and Knowledge-Based Techniques in Unsupervised Domain Adaptation for Segmentation of Edible Insect States. VISIGRAPP (5: VISAPP) 2023: 380-387 - [e7]Robert Burduk, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Tomasz Marciniak, Pawel Trajdos:
Progress on Pattern Classification, Image Processing and Communications - Proceedings of the CORES and IP&C Conferences 2023, Wrocław, Poland. Lecture Notes in Networks and Systems 766, Springer 2023, ISBN 978-3-031-41629-3 [contents] - 2022
- [j16]Michal Choras, Robert Burduk
Advances in Computer Recognition, Image Processing and Communications. Entropy 24(1): 108 (2022) - [j15]Robert Burduk, Jedrzej Biedrzycki:
Subspace-based decision trees integration. Inf. Sci. 592: 215-226 (2022) - [j14]Michal Choras, Robert Burduk, Rafal Kozik, Jörg Keller
Advances and Practical Applications of Deep and Shallow Machine Learning. J. Univers. Comput. Sci. 28(3): 225-226 (2022) - [j13]Pawel Trajdos
Probability-driven scoring functions in combining linear classifiers. J. Univers. Comput. Sci. 28(3): 269-291 (2022) - [j12]Bartosz Poskart, Grzegorz Iskierka
Multi-Parameter Predictive Model of Mobile Robot's Battery Discharge for Intelligent Mission Planning in Multi-Robot Systems. Sensors 22(24): 9861 (2022) - [c48]Robert Burduk
Relearning Ensemble Selection Based on New Generated Features. ACIIDS (2) 2022: 282-291 - 2021
- [j11]Pawel Ksieniewicz
Fusion of linear base classifiers in geometric space. Knowl. Based Syst. 227: 107231 (2021) - [j10]Pawel Trajdos
Linear classifier combination via multiple potential functions. Pattern Recognit. 111: 107681 (2021) - [c47]Jakub Klikowski
Distance Metrics in Clustering and Weighted Scoring Algorithm. CORES/IP&C/ACS 2021: 23-33 - [c46]Jakub Klikowski
Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters. ICCS (3) 2021: 40-49 - [i5]Robert Burduk:
Relearning ensemble selection based on new generated features. CoRR abs/2106.06761 (2021) - [i4]Pawel Trajdos, Robert Burduk:
Probability-driven scoring functions in combining linear classifiers. CoRR abs/2109.07815 (2021) - 2020
- [j9]Jedrzej Biedrzycki
Weighted Scoring in Geometric Space for Decision Tree Ensemble. IEEE Access 8: 82100-82107 (2020) - [j8]Pawel Trajdos
Combining Linear Classifiers Using Probability-Based Potential Functions. IEEE Access 8: 207947-207961 (2020) - [j7]Jedrzej Biedrzycki
Decision Tree Integration Using Dynamic Regions of Competence. Entropy 22(10): 1129 (2020) - [j6]Jedrzej Biedrzycki, Robert Burduk:
Integration of Decision Trees Using Distance to Centroid and to Decision Boundary. J. Univers. Comput. Sci. 26(6): 720-733 (2020) - [c45]Robert Burduk
Novel Approach to Gentle AdaBoost Algorithm with Linear Weak Classifiers. ACIIDS (1) 2020: 600-611 - [c44]Paulina Heda, Izabela Rojek
Dynamic Ensemble Selection - Application to Classification of Cutting Tools. CISIM 2020: 345-354 - [c43]Pawel Ksieniewicz
Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification. ICCS (4) 2020: 128-140 - [e6]Robert Burduk, Marek Kurzynski, Michal Wozniak:
Progress in Computer Recognition Systems, International Conference on Computer Recognition Systems, CORES 2019, Polanica-Zdrój, Poland, 20-22 May, 2019. Advances in Intelligent Systems and Computing 977, Springer 2020, ISBN 978-3-030-19737-7 [contents] - [i3]Robert Burduk:
Classification Performance Metric for Imbalance Data Based on Recall and Selectivity Normalized in Class Labels. CoRR abs/2006.13319 (2020) - [i2]Pawel Trajdos, Robert Burduk:
Linear Classifier Combination via Multiple Potential Functions. CoRR abs/2010.00844 (2020)
2010 – 2019
- 2019
- [j5]Robert Burduk, Jedrzej Biedrzycki:
Integration and Selection of Linear SVM Classifiers in Geometric Space. J. Univers. Comput. Sci. 25(6): 718-730 (2019) - [c42]Robert Burduk
Gentle AdaBoost Algorithm with Score Function Dependent on the Distance to Decision Boundary. CISIM 2019: 303-310 - [c41]Pawel Trajdos, Robert Burduk:
Combination of Linear Classifiers Using Score Function - Analysis of Possible Combination Strategies. CORES 2019: 348-359 - [c40]Robert Burduk
Modified Score Function and Linear Weak Classifiers in LogitBoost Algorithm. IP&C 2019: 49-56 - [i1]Pawel Trajdos, Robert Burduk:
Combination of linear classifiers using score function - analysis of possible combination strategies. CoRR abs/1905.09522 (2019) - 2018
- [c39]Robert Burduk, Andrzej Kasprzak:
The Use of Geometric Mean in the Process of Integration of Three Base Classifiers. CISIM 2018: 246-253 - [c38]Robert Burduk:
Integration Base Classifiers in Geometry Space by Harmonic Mean. ICAISC (1) 2018: 585-592 - [c37]Robert Burduk, Jedrzej Biedrzycki:
Integration of Linear SVM Classifiers in Geometric Space Using the Median. IP&C 2018: 30-36 - [e5]Marek Kurzynski, Michal Wozniak, Robert Burduk
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, Polanica Zdroj, Poland, 22-24 May 2017. Advances in Intelligent Systems and Computing 578, 2018, ISBN 978-3-319-59161-2 [contents] - 2017
- [c36]Izabela Rejer
Classifier Selection for Motor Imagery Brain Computer Interface. CISIM 2017: 122-130 - [c35]Robert Burduk:
Drift Detection Algorithm Using the Discriminant Function of the Base Classifiers. CORES 2017: 491-498 - [c34]Robert Burduk:
Integration Base Classifiers Based on Their Decision Boundary. ICAISC (2) 2017: 13-20 - [c33]Robert Burduk:
The AdaBoost Algorithm with Linear Modification of the Weights. IP&C 2017: 82-87 - 2016
- [c32]Robert Burduk, Paulina Heda:
Homogeneous Ensemble Selection - Experimental Studies. ACS 2016: 58-67 - [c31]Robert Burduk, Paulina Baczynska:
Ensemble of Classifiers with Modification of Confidence Values. CISIM 2016: 473-480 - [c30]Robert Burduk, Paulina Baczynska:
Dynamic Ensemble Selection Using Discriminant Functions and Normalization Between Class Labels - Approach to Binary Classification. ICAISC (1) 2016: 563-570 - [c29]Robert Burduk:
Active Learning Algorithm Using the Discrimination Function of the Base Classifiers. IP&C 2016: 120-127 - [e4]Robert Burduk
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, Wroclaw, Poland, 25-27 May 2015. Advances in Intelligent Systems and Computing 403, Springer 2016, ISBN 978-3-319-26225-3 [contents] - 2015
- [c28]Robert Burduk, Krzysztof Walkowiak
Static Classifier Selection with Interval Weights of Base Classifiers. ACIIDS (1) 2015: 494-502 - [c27]Robert Burduk:
Discriminant Function Selection in Binary Classification Task. CORES 2015: 265-273 - [c26]Paulina Baczynska, Robert Burduk:
Ensemble Selection Based on Discriminant Functions in Binary Classification Task. IDEAL 2015: 61-68 - [c25]Paulina Baczynska, Robert Burduk:
Classifier Selection Uses Decision Profiles in Binary Classification Task. IP&C 2015: 3-10 - [e3]Konrad Jackowski, Robert Burduk, Krzysztof Walkowiak, Michal Wozniak, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2015 - 16th International Conference Wroclaw, Poland, October 14-16, 2015, Proceedings. Lecture Notes in Computer Science 9375, Springer 2015, ISBN 978-3-319-24833-2 [contents] - 2014
- [c24]Robert Burduk:
The AdaBoost Algorithm with the Imprecision Determine the Weights of the Observations. ACIIDS (2) 2014: 110-116 - [c23]Robert Burduk:
Method of Static Classifiers Selection Using the Weights of Base Classifiers. ACS 2014: 85-94 - 2013
- [j4]Robert Burduk:
Classifier fusion with interval-valued weights. Pattern Recognit. Lett. 34(14): 1623-1629 (2013) - [c22]Robert Burduk, Pawel Trajdos:
Construction of Sequential Classifier Using Confusion Matrix. CISIM 2013: 401-407 - [c21]Robert Burduk:
The Method of Improving the Structure of the Decision Tree Given by the Experts. CORES 2013: 161-167 - [c20]Robert Burduk, Pawel Trajdos:
Construction of Sequential Classifier Based on Broken Stick Model. HAIS 2013: 132-139 - [c19]Robert Burduk, Pawel Trajdos:
Construction of Sequential Classifier Based on MacArthur's Overlapping Niches Model. IP&C 2013: 255-262 - [e2]Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michal Wozniak
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, Milkow, Poland, 27-29 May 2013. Advances in Intelligent Systems and Computing 226, Springer 2013, ISBN 978-3-319-00968-1 [contents] - 2012
- [j3]Robert Burduk:
Imprecise information in Bayes classifier. Pattern Anal. Appl. 15(2): 147-153 (2012) - [c18]Robert Burduk:
Comparison of Cost for Zero-One and Stage-Dependent Fuzzy Loss Function. ACIIDS (1) 2012: 385-392 - [c17]Robert Burduk, Marcin Zmyslony:
Decomposition of Classification Task with Selection of Classifiers on the Medical Diagnosis Example. HAIS (2) 2012: 569-577 - [c16]Robert Burduk:
Recognition Task with Feature Selection and Weighted Majority Voting Based on Interval-Valued Fuzzy Sets. ICCCI (1) 2012: 204-209 - [c15]Robert Burduk:
New AdaBoost Algorithm Based on Interval-Valued Fuzzy Sets. IDEAL 2012: 794-801 - [c14]Robert Burduk:
On the Bounds on Optimal Bayes Error in the Task of Multiple Data Sources. IP&C 2012: 201-208 - 2011
- [c13]Robert Burduk:
Costs-Sensitive Classification in Multistage Classifier with Fuzzy Observations of Object Features. HAIS (2) 2011: 245-252 - [c12]Robert Burduk:
Estimations of the Error in Bayes Classifier with Fuzzy Observations. ICCCI (1) 2011: 123-131 - [c11]Robert Burduk, Andrzej Kasprzak:
Costs-Sensitive Classification in Two-Stage Binary Classifier. IP&C 2011: 235-241 - [p5]Robert Burduk:
Some Properties of Binary Classifier with Fuzzy-Valued Loss Function. Computer Recognition Systems 4 2011: 219-225 - [e1]Robert Burduk, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek:
Computer Recognition Systems 4. Advances in Intelligent and Soft Computing 95, Springer 2011, ISBN 978-3-642-20319-0 [contents] - 2010
- [j2]Robert Burduk:
Classification error in Bayes multistage recognition task with fuzzy observations. Pattern Anal. Appl. 13(1): 85-91 (2010) - [c10]Robert Burduk:
Randomness and Fuzziness in Bayes Multistage Classifier. HAIS (1) 2010: 532-539 - [c9]Robert Burduk:
A Partition of Feature Space Based on Information Energy in Classification with Fuzzy Observations. IP&C 2010: 159-166 - [c8]Robert Burduk:
Some characteristics of an error in the two-class problem with fuzzy observations. ISDA 2010: 1001-1004
2000 – 2009
- 2009
- [c7]Robert Burduk:
Probability Error in Global Optimal Hierarchical Classifier with Intuitionistic Fuzzy Observations. HAIS 2009: 533-540 - [c6]Robert Burduk:
Probability Error in Bayes Optimal Classifier with Intuitionistic Fuzzy Observations. ICIAR 2009: 359-368 - [c5]Robert Burduk, Michal Wozniak
Bayes Multistage Classifier and Boosted C4.5 Algorithm in Acute Abdominal Pain Diagnosis. ICMMI 2009: 371-378 - [c4]Robert Burduk:
Interval-Valued Fuzzy Observations in Bayes Classifier. IDEAL 2009: 672-678 - [p4]Robert Burduk:
Intuitionistic Fuzzy Observations in Local Optimal Hierarchical Classifier. Computer Recognition Systems 3 2009: 303-310 - 2008
- [p3]Robert Burduk:
Stage-Dependent Fuzzy-valued Loss Function in Two-Stage Binary Classifier. Innovations in Hybrid Intelligent Systems 2008: 48-55 - [p2]Robert Burduk:
Classification Accuracy in Local Optimal Strategy of Multistage Recognition with Fuzzy Data. Computer Recognition Systems 2 2008: 364-370 - [p1]Robert Burduk:
Possibility of Use a Fuzzy Loss Function in Medical Diagnostics. Information Technologies in Biomedicine 2008: 476-481 - 2007
- [c3]Robert Burduk:
Fuzzy Data in Local Optimal Strategy of Multistage Recognition. CISIM 2007: 251-254 - 2006
- [j1]Robert Burduk, Marek Kurzynski:
Two-stage binary classifier with fuzzy-valued loss function. Pattern Anal. Appl. 9(4): 353-358 (2006) - 2005
- [c2]Robert Burduk:
Selection of Fuzzy-Valued Loss Function in Two Stage Binary Classifier. CORES 2005: 121-128 - [c1]Robert Burduk:
Probability of Misclassification in Bayesian Hierarchical Classifier. Intelligent Information Systems 2005: 341-348
Coauthor Index
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last updated on 2024-10-11 18:19 CEST by the dblp team
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