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2020 – today
- 2024
[j19]Irena Roterman
, Leszek Konieczny, Katarzyna Stapor:
The outer-membrane componentof the multi-drug efflux system -a structural analysis based onhydrophobicity distribution. Bio Algorithms Med Syst. 20(1): 1-14 (2024)- [i1]Krzysztof Kotowski, Irena Roterman, Katarzyna Stapor:
Protein intrinsic disorder prediction using Attention U-Net and ProtTrans protein language model. CoRR abs/2404.08108 (2024) - 2023
- [j18]Irena Roterman, Katarzyna Stapor, Leszek Konieczny:
Ab initio protein structure prediction: the necessary presence of external force field as it is delivered by Hsp40 chaperone. BMC Bioinform. 24(1): 418 (2023) - [j17]Irena Roterman, Katarzyna Stapor, Leszek Konieczny:
Role of environmental specificity in CASP results. BMC Bioinform. 24(1): 425 (2023) - [j16]Krzysztof Kotowski, Jeremi K. Ochab, Katarzyna Stapor, Werner Sommer:
The importance of ocular artifact removal in single-trial ERP analysis: The case of the N250 in face learning. Biomed. Signal Process. Control. 79(Part): 104115 (2023) - 2022
- [j15]Katarzyna Stapor, Krzysztof Kotowski, Tomasz Smolarczyk, Irena Roterman:
Lightweight ProteinUnet2 network for protein secondary structure prediction: a step towards proper evaluation. BMC Bioinform. 23(1): 100 (2022) - 2021
- [j14]Katarzyna Stapor, Pawel Ksieniewicz, Salvador García, Michal Wozniak:
How to design the fair experimental classifier evaluation. Appl. Soft Comput. 104: 107219 (2021) - [j13]Mateusz Banach, Katarzyna Stapor, Piotr Fabian, Leszek Konieczny, Irena Roterman:
Divergence Entropy-Based Evaluation of Hydrophobic Core in Aggressive and Resistant Forms of Transthyretin. Entropy 23(4): 458 (2021) - [j12]Krzysztof Kotowski, Tomasz Smolarczyk, Irena Roterman-Konieczna, Katarzyna Stapor:
ProteinUnet - An efficient alternative to SPIDER3-single for sequence-based prediction of protein secondary structures. J. Comput. Chem. 42(1): 50-59 (2021) - 2020
- [b1]Katarzyna Stapor:
Introduction to Probabilistic and Statistical Methods with Examples in R. Intelligent Systems Reference Library 176, Springer 2020, ISBN 978-3-030-45798-3, pp. 1-149 - [j11]Piotr Fabian, Katarzyna Stapor, Mateusz Banach, Magdalena Ptak-Kaczor, Leszek Konieczny, Irena Roterman:
Alternative Hydrophobic Core in Proteins - The Effect of Specific Synergy. Symmetry 12(2): 273 (2020) - [j10]Mateusz Banach, Piotr Fabian, Katarzyna Stapor, Leszek Konieczny, Magdalena Ptak-Kaczor, Irena Roterman:
The Status of Edge Strands in Ferredoxin-Like Fold. Symmetry 12(6): 1032 (2020)
2010 – 2019
- 2019
- [j9]Tomasz Smolarczyk, Katarzyna Stapor, Irena Roterman-Konieczna:
Backbone dihedral angles prediction servers for protein early-stage structure prediction. Bio Algorithms Med Syst. 15(4) (2019) - [p4]Katarzyna Stapor, Irena Roterman-Konieczna, Piotr Fabian:
Machine Learning Methods for the Protein Fold Recognition Problem. Machine Learning Paradigms 2019: 101-127 - 2018
- [c16]Krzysztof Kotowski, Katarzyna Stapor:
Deep Learning Features for Face Age Estimation: Better Than Human? BDAS 2018: 376-389 - 2017
- [c15]Katarzyna Stapor:
Evaluating and Comparing Classifiers: Review, Some Recommendations and Limitations. CORES 2017: 12-21 - [c14]Katarzyna Stapor:
Evaluation of classifiers: current methods and future research directions. FedCSIS (Position Papers) 2017: 37-40 - [c13]Piotr Fabian, Katarzyna Stapor:
Developing an SVM classifier for extended ES protein structure prediction. FedCSIS 2017: 169-172 - 2016
- [j8]Wieslaw Chmielnicki, Katarzyna Stapor:
Using the one-versus-rest strategy with samples balancing to improve pairwise coupling classification. Int. J. Appl. Math. Comput. Sci. 26(1): 191 (2016) - [c12]Katarzyna Stapor, Piotr Fabian:
Classification of Protein Interactions Based on Sparse Discriminant Analysis and Energetic Features. CISIM 2016: 530-537 - 2015
- [j7]Irena Roterman-Konieczna, Piotr Fabian, Katarzyna Stapor:
A method of predicting the secondary protein structure based on dictionaries. Bio Algorithms Med Syst. 11(3): 163-170 (2015) - [j6]Barbara Kalinowska, Piotr Fabian, Katarzyna Stapor, Irena Roterman:
Statistical dictionaries for hypothetical in silico model of the early-stage intermediate in protein folding. J. Comput. Aided Mol. Des. 29(7): 609-618 (2015) - [c11]Wieslaw Chmielnicki, Katarzyna Stapor:
Combining One-Versus-One and One-Versus-All Strategies to Improve Multiclass SVM Classifier. CORES 2015: 37-45 - 2012
- [j5]Katarzyna Stapor:
Protein fold classification based on machine learning paradigm - a review. Bio Algorithms Med Syst. 8(1): 53-76 (2012) - [j4]Wieslaw Chmielnicki, Irena Roterman-Konieczna, Katarzyna Stapor:
An improved protein fold recognition with support vector machines. Expert Syst. J. Knowl. Eng. 29(2): 200-211 (2012) - [j3]Wieslaw Chmielnicki, Katarzyna Stapor:
A hybrid discriminative/generative approach to protein fold recognition. Neurocomputing 75(1): 194-198 (2012) - 2011
- [j2]Wieslaw Chmielnicki, Katarzyna Stapor:
A combined SVM-RDA classifier for protein fold recognition. Bio Algorithms Med Syst. 7(1): 67-70 (2011) - [c10]Wieslaw Chmielnicki, Katarzyna Stapor:
An Effective Feature Selection Algorithm Based on the Class Similarity Used with a SVM-RDA Classifier to Protein Fold Recognition. HAIS (2) 2011: 205-212 - [p3]Wieslaw Chmielnicki, Katarzyna Stapor:
A New Approach to Multi-class SVM-Based Classification Using Error Correcting Output Codes. Computer Recognition Systems 4 2011: 499-506 - 2010
- [j1]Wieslaw Chmielnicki, Katarzyna Stapor:
A combined SVM-RDA classifier for protein fold recognition. Bio Algorithms Med Syst. 6(12-S): 51-52 (2010) - [c9]Wieslaw Chmielnicki, Katarzyna Stapor:
Protein Fold Recognition with Combined SVM-RDA Classifier. HAIS (1) 2010: 162-169 - [c8]Wieslaw Chmielnicki, Katarzyna Stapor, Irena Roterman-Konieczna:
An Efficient Multi-class Support Vector Machine Classifier for Protein Fold Recognition. IWPACBB 2010: 77-84
2000 – 2009
- 2009
- [p2]Pawel Blaszczyk, Katarzyna Stapor:
A New Feature Extraction Method Based on the Partial Least Squares Algorithm and Its Applications. Computer Recognition Systems 3 2009: 179-186 - 2008
- [c7]Karol Kozak, Katarzyna Stapor:
Classes of Kernels for Hit Definition in Compound Screening. ICAISC 2008: 609-619 - [p1]Karol Kozak, Marta Kozak, Katarzyna Stapor:
Optimization of the SVM Screening Kernel-Application to Hit Definition in Compound Screening. Computer Recognition Systems 2 2008: 224-231 - 2007
- [c6]Karol Kozak, Marta Kozak, Katarzyna Stapor:
Kernels for Chemical Compounds in Biological Screening. ICANNGA (2) 2007: 327-337 - 2005
- [c5]Katarzyna Stapor, Adrian Brueckner:
Mean Shift Segmentation, Genetic Algorithms and Support Vector Machines for Identification of Glaucoma in Fundus Eye Images. CORES 2005: 679-685 - 2004
- [c4]Katarzyna Stapor, Leslaw Pawlaczyk, Radim Chrástek, Heinrich Niemann, Georg Michelson:
Automatic Segmentation and Classification of Fundus Eye Images for Glaucoma Diagnosis. Bildverarbeitung für die Medizin 2004: 65-69 - [c3]Katarzyna Stapor, Adam Switonski, Radim Chrástek, Georg Michelson:
Segmentation of Fundus Eye Images Using Methods of Mathematical Morphology for Glaucoma Diagnosis. International Conference on Computational Science 2004: 41-48 - [c2]Katarzyna Stapor, Leslaw Pawlaczyk, Radim Chrástek, Georg Michelson:
Automatic Detection of Glaucomatous Changes Using Adaptive Thresholding and Neural Networks. International Conference on Computational Science 2004: 49-55 - [c1]Katarzyna Stapor, Adrian Brueckner, Adam Switonski:
Mathematical Morphology and Support Vector Machines for Diagnosis of Glaucoma on Fundus eye Images. ICCVG 2004: 888-893
Coauthor Index
aka: Irena Roterman
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