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Rafal Doroz
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2020 – today
- 2024
- [j17]Piotr Porwik, Krzysztof Wrobel, Tomasz Orczyk, Rafal Doroz:
FBDD: feature-based drift detector for batch processing data. Clust. Comput. 27(5): 6805-6822 (2024) - 2023
- [c26]Tomasz Orczyk, Piotr Porwik, Rafal Doroz:
A preliminary study on the dispersed classification system for recognizing safety of drivers' maneuvers. KES 2023: 2604-2613 - 2022
- [j16]Rafal Doroz, Krzysztof Wrobel, Tomasz Orczyk, Piotr Porwik, Marcin Cholewa:
Multidimensional nearest neighbors classification based system for incomplete lip print identification. Expert Syst. Appl. 202: 117137 (2022) - [j15]Rafal Doroz, Krzysztof Wrobel, Piotr Porwik, Tomasz Orczyk:
A New Hand-Movement-Based Authentication Method Using Feature Importance Selection with the Hotelling's Statistic. J. Artif. Intell. Soft Comput. Res. 12(1): 41-59 (2022) - [c25]Piotr Porwik, Tomasz Orczyk, Rafal Doroz:
A Stable Method for Detecting Driver Maneuvers Using a Rule Classifier. ACIIDS (1) 2022: 156-165 - [c24]Krzysztof Wrobel, Rafal Doroz, Piotr Porwik, Tomasz Orczyk, Agnieszka Betkowska Cavalcante, Monika Grajzer:
Features of Hand-Drawn Spirals for Recognition of Parkinson's Disease. ACIIDS (2) 2022: 458-469 - [c23]Krzysztof Wrobel, Rafal Doroz:
Diagnosing Parkinson's disease using features of hand-drawn spirals. KES 2022: 3413-3420 - 2021
- [j14]Piotr Porwik, Rafal Doroz, Tomasz Emanuel Wesolowski:
Dynamic keystroke pattern analysis and classifiers with competence for user recognition. Appl. Soft Comput. 99: 106902 (2021) - [j13]Piotr Porwik, Rafal Doroz:
Adaptation of the idea of concept drift to some behavioral biometrics: Preliminary studies. Eng. Appl. Artif. Intell. 99: 104135 (2021) - [c22]Tomasz Orczyk, Rafal Doroz, Piotr Porwik:
Missing Value Imputation Method Using Separate Features Nearest Neighbors Algorithm. ICCS (3) 2021: 128-141 - [c21]Piotr Porwik, Tomasz Orczyk, Rafal Doroz:
Classifier learning from difficult data on the example of missing features. IJCNN 2021: 1-8
2010 – 2019
- 2019
- [j12]Piotr Porwik, Rafal Doroz, Krzysztof Wrobel:
An ensemble learning approach to lip-based biometric verification, with a dynamic selection of classifiers. Expert Syst. Appl. 115: 673-683 (2019) - [c20]Tomasz Orczyk, Rafal Doroz, Piotr Porwik:
Combined kNN Classifier for Classification of Incomplete Data. CORES 2019: 21-26 - 2018
- [j11]Rafal Doroz, Krzysztof Wrobel, Piotr Porwik:
An accurate fingerprint reference point determination method based on curvature estimation of separated ridges. Int. J. Appl. Math. Comput. Sci. 28(1): 209-225 (2018) - [j10]Rafal Doroz, Przemyslaw Kudlacik, Piotr Porwik:
Online signature verification modeled by stability oriented reference signatures. Inf. Sci. 460-461: 151-171 (2018) - [j9]Krzysztof Wrobel, Rafal Doroz, Piotr Porwik, Marcin Bernas:
Personal identification utilizing lip print furrow based patterns. A new approach. Pattern Recognit. 81: 585-600 (2018) - [j8]Rafal Doroz:
The Method of Automatic Knuckle Image Acquisition for Continuous Verification Systems. Symmetry 10(11): 624 (2018) - 2017
- [j7]Krzysztof Wrobel, Rafal Doroz, Piotr Porwik, Jacek Naruniec, Marek Kowalski:
Using a Probabilistic Neural Network for lip-based biometric verification. Eng. Appl. Artif. Intell. 64: 112-127 (2017) - [c19]Tomasz Emanuel Wesolowski, Rafal Doroz, Krzysztof Wrobel, Hossein Safaverdi:
Keystroke Dynamics and Finger Knuckle Imaging Fusion for Continuous User Verification. CISIM 2017: 141-152 - [c18]Rafal Doroz, Krzysztof Wrobel, Piotr Porwik, Hossein Safaverdi:
The Method of Person Verification by Use of Finger Knuckle Images. CORES 2017: 248-257 - [c17]Hossein Safaverdi, Tomasz Emanuel Wesolowski, Rafal Doroz, Krzysztof Wrobel, Piotr Porwik:
Computer User Verification Based on Typing Habits and Finger-Knuckle Analysis. ICCCI (2) 2017: 161-170 - 2016
- [j6]Tomasz Emanuel Wesolowski, Piotr Porwik, Rafal Doroz:
Electronic Health Record Security Based on Ensemble Classification of Keystroke Dynamics. Appl. Artif. Intell. 30(6): 521-540 (2016) - [j5]Rafal Doroz, Piotr Porwik, Tomasz Orczyk:
Dynamic signature verification method based on association of features with similarity measures. Neurocomputing 171: 921-931 (2016) - [j4]Piotr Porwik, Rafal Doroz, Tomasz Orczyk:
Signatures verification based on PNN classifier optimised by PSO algorithm. Pattern Recognit. 60: 998-1014 (2016) - [c16]Krzysztof Wrobel, Rafal Doroz, Piotr Porwik:
Fingerprint Reference Point Detection Based on High Curvature Points. DMBD 2016: 538-547 - [c15]Pawel Popielski, Robert Koprowski, Zygmunt Wróbel, Slawomir Wilczynski, Rafal Doroz, Krzysztof Wrobel, Piotr Porwik:
The Matching Method for Rectified Stereo Images Based on Minimal Element Distance and RGB Component Analysis. ICCCI (2) 2016: 482-493 - [c14]Rafal Doroz, Krzysztof Wrobel, Piotr Porwik, Hossein Safaverdi, Michal Senejko, Janusz Jezewski, Pawel Popielski, Slawomir Wilczynski, Robert Koprowski, Zygmunt Wróbel:
A New Personal Verification Technique Using Finger-Knuckle Imaging. ICCCI (2) 2016: 515-524 - 2015
- [j3]Piotr Porwik, Rafal Doroz, Tomasz Orczyk:
The k-NN classifier and self-adaptive Hotelling data reduction technique in handwritten signatures recognition. Pattern Anal. Appl. 18(4): 983-1001 (2015) - [c13]Krzysztof Wrobel, Rafal Doroz, Malgorzata Palys:
Lip Print Recognition Method Using Bifurcations Analysis. ACIIDS (2) 2015: 72-81 - [c12]Rafal Doroz, Krzysztof Wrobel, Malgorzata Palys:
Detecting the Reference Point in Fingerprint Images with the Use of the High Curvature Points. ACIIDS (2) 2015: 82-91 - [c11]Krzysztof Wrobel, Piotr Porwik, Rafal Doroz:
Effective Lip Prints Preprocessing and Matching Methods. CORES 2015: 347-357 - [c10]Rafal Doroz, Piotr Porwik, Hossein Safaverdi:
The New Multilayer Ensemble Classifier for Verifying Users Based on Keystroke Dynamics. ICCCI (2) 2015: 598-605 - 2014
- [c9]Rafal Doroz, Krzysztof Wrobel, Mateusz Watroba:
A Hybrid System of Signature Recognition Using Video and Similarity Measures. HAIS 2014: 211-220 - [c8]Piotr Porwik, Rafal Doroz:
Self-adaptive Biometric Classifier Working on the Reduced Dataset. HAIS 2014: 377-388 - 2013
- [c7]Malgorzata Palys, Rafal Doroz, Piotr Porwik:
Statistical Analysis in Signature Recognition System Based on Levenshtein Distance. CORES 2013: 217-226 - [c6]Piotr Porwik, Rafal Doroz:
Biometric Features Selection with k-Nearest Neighbours Technique and Hotelling Adaptation Method. CORES 2013: 247-256 - 2012
- [c5]Rafal Doroz, Krzysztof Wrobel:
Dynamic Signature Recognition Based on Modified Windows Technique. CISIM 2012: 158-167 - 2011
- [c4]Rafal Doroz, Piotr Porwik:
Handwritten Signature Recognition with Adaptive Selection of Behavioral Features. CISIM 2011: 128-136 - [c3]Krzysztof Wrobel, Rafal Doroz:
The method for finding a reference point in fingerprint images basing on an analysis of characteristic points. NaBIC 2011: 504-508 - [p2]Iwona Kostorz, Rafal Doroz:
On-Line Signature Recognition Based on Reduced Set of Points. Computer Recognition Systems 4 2011: 3-11 - 2010
- [j2]Rafal Doroz, Krzysztof Wrobel:
Determining the similarity of signatures on the basis of characteristic points analysis. Int. J. Biom. 2(3): 282-294 (2010)
2000 – 2009
- 2009
- [c2]Rafal Doroz, Krzysztof Wrobel:
Method of signature recognition with the use of the mean differences. ITI 2009: 231-236 - [c1]Piotr Porwik, Rafal Doroz, Krzysztof Wrobel:
A New Signature Similarity Measure. NaBIC 2009: 1022-1027 - [p1]Piotr Porwik, Krzysztof Wrobel, Rafal Doroz:
The Polish Coins Denomination Counting by Using Oriented Circular Hough Transform. Computer Recognition Systems 3 2009: 569-576 - 2008
- [j1]Rafal Doroz, Piotr Porwik, Tomasz Para, Krzysztof Wrobel:
Dynamic signature recognition based on velocity changes of some features. Int. J. Biom. 1(1): 47-62 (2008)
Coauthor Index
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last updated on 2024-08-27 22:58 CEST by the dblp team
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