P. Porwik

发表

THE SPECTRAL TEST OF THE BOOLEAN FUNCTION LINEARITY

P. Porwik, 2003 .

Efficient algorithmofaffin eformsearchingfo rweaklyspecified Booleanfunction

P. Porwik, 2007 .

DEDICATED SPECTRAL METHOD OF BOOLEAN FUNCTION DECOMPOSITION

Radomir S. Stankovic, Piotr Porwik, R. Stankovic, 2006 .

WALSH COEFFICIENTS DISTRIBUTION FOR SOME TYPES OF BOOLEAN FUNCTION

P. Porwik, 2005 .

Efficient spectral method of identification of linear Boolean function

Piotr Porwik, P. Porwik, 2004 .

EFFICIENT CALCULATION OF THE REED-MULLER FORM BY MEANS OF THE WALSH TRANSFORM

Piotr Porwik, P. Porwik, 2002 .

Multidimensional nearest neighbors classification based system for incomplete lip print identification

M. Cholewa, P. Porwik, K. Wrobel, 2022, Expert Systems with Applications.

Detection of data drift in a two-dimensional stream using the Kolmogorov-Smirnov test

P. Porwik, Benjamin Mensah Dadzie, 2022, KES.

Fuzzy approach for intrusion detection based on user’s commands

Tomasz E. Wesolowski, P. Porwik, P. Kudlacik, 2015, Soft Computing.

A new approach to signature recognition using the fuzzy method

P. Porwik, P. Kudlacik, 2014, Pattern Analysis and Applications.

The Haar – Wavelet Transform in Digital Image Processing : Its Status and Achievements

Piotr Porwik, Agnieszka Lisowska, A. Lisowska, 2004 .

Personal identification utilizing lip print furrow based patterns. A new approach

Rafal Doroz, Piotr Porwik, Krzysztof Wrobel, 2018, Pattern Recognit..

Using a Probabilistic Neural Network for lip-based biometric verification

Rafal Doroz, Piotr Porwik, Marek Kowalski, 2017, Eng. Appl. Artif. Intell..

An accurate fingerprint reference point determination method based on curvature estimation of separated ridges

Rafal Doroz, Piotr Porwik, Krzysztof Wrobel, 2018, Int. J. Appl. Math. Comput. Sci..

Adaptation of the idea of concept drift to some behavioral biometrics: Preliminary studies

Rafal Doroz, Piotr Porwik, P. Porwik, 2021, Eng. Appl. Artif. Intell..

Dynamic keystroke pattern analysis and classifiers with competence for user recognition

Rafal Doroz, Piotr Porwik, Tomasz Emanuel Wesołowski, 2020, Appl. Soft Comput..

Fuzzy approach for intrusion detection based on user’s commands

Przemyslaw Kudlacik, Piotr Porwik, Tomasz E. Wesolowski, 2016, Soft Comput..

A new approach to signature recognition using the fuzzy method

Przemyslaw Kudlacik, Piotr Porwik, P. Porwik, 2014, Pattern Analysis and Applications.

Liver fibrosis diagnosis support using the Dempster-Shafer theory extended for fuzzy focal elements

Piotr Porwik, Ewa Straszecka, Tomasz Orczyk, 2018, Eng. Appl. Artif. Intell..

The lip print recognition using Hough transform

Piotr Porwik, Ëukasz Smacki, Krzysztof Tomaszycki, 2010 .

Dynamic signature verification method based on association of features with similarity measures

Rafal Doroz, Piotr Porwik, Tomasz Orczyk, 2016, Neurocomputing.

Feature projection k-NN classifier model for imbalanced and incomplete medical data

Piotr Porwik, Tomasz Orczyk, Marcin Cholewa, 2016 .

Liver Fibrosis Diagnosis Support System Using Machine Learning Methods

Piotr Porwik, Tomasz Orczyk, P. Porwik, 2015, ACSS.

Medical diagnosis support system based on the ensemble of single-parameter classifiers

Piotr Porwik, Tomasz Orczyk, Marcin Bernaś, 2014 .

E-medical diagnosis support system for non-invasive liver fibrosis recognition

Bartosz Krawczyk, Tomasz Orczyk, Michal Wozniak, 2013, Stud. Inform. Univ..

Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage

Piotr Porwik, Bartosz Krawczyk, Michal Wozniak, 2013, CORES.

An ensemble learning approach to lip-based biometric verification, with a dynamic selection of classifiers

Rafal Doroz, Piotr Porwik, Krzysztof Wrobel, 2019, Expert Syst. Appl..

An attempt to improve Eigenface algorithm efficiency for colour images

Piotr Porwik, Tomasz Orczyk, P. Porwik, 2010 .

THE NEW RULE BASED COLOUR CLASSIFIER IN THE PROBLEM OF HUMAN SKIN COLOUR DETECTION

D. Głowacki, P. Porwik, T. Orczyk, 2010 .

DTW and Voting-Based Lip Print Recognition System

Piotr Porwik, Tomasz Orczyk, P. Porwik, 2012, CISIM.

Lip print recognition based on DTW algorithm

Piotr Porwik, Krzysztof Wrobel, Lukasz Smacki, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Effective Lip Prints Preprocessing and Matching Methods

Rafal Doroz, Piotr Porwik, Krzysztof Wrobel, 2015, CORES.

Design challenges for home telemonitoring of pregnancy as a medical cyber-physical system

Piotr Porwik, Adam Pawlak, Janusz Jezewski, 2014 .

SIMPLE AND NON-INVASIVE LIVER FIBROSIS STAGE PREDICTION METHOD

Piotr Porwik, Tomasz Orczyk, Joanna Musialik, 2011 .

The k-NN classifier and self-adaptive Hotelling data reduction technique in handwritten signatures recognition

P. Porwik, R. Doroz, T. Orczyk, 2015, Pattern Analysis and Applications.

Self-adaptive Biometric Classifier Working on the Reduced Dataset

Rafal Doroz, Piotr Porwik, P. Porwik, 2014, HAIS.

A New Hand-Movement-Based Authentication Method Using Feature Importance Selection with the Hotelling’s Statistic

P. Porwik, K. Wrobel, R. Doroz, 2021, J. Artif. Intell. Soft Comput. Res..

Online signature verification modeled by stability oriented reference signatures

Rafal Doroz, Przemyslaw Kudlacik, Piotr Porwik, 2018, Inf. Sci..

Signatures verification based on PNN classifier optimised by PSO algorithm

Rafal Doroz, Piotr Porwik, Tomasz Orczyk, 2016, Pattern Recognit..

Electronic Health Record Security Based on Ensemble Classification of Keystroke Dynamics

Rafal Doroz, Piotr Porwik, Tomasz E. Wesolowski, 2016, Appl. Artif. Intell..

Fusion of Granular Computing and k -NN Classifiers for Medical Data Support System

Piotr Porwik, Tomasz Orczyk, Marcin Bernas, 2015, ACIIDS.

User verification based on the analysis of keystrokes while using various software

Tomasz Emanuel Wesołowski, Tomasz E. Wesolowski, Piotr Porwik, 2015 .

Computer User Profiling Based on Keystroke Analysis

Piotr Porwik, Tomasz E. Wesolowski, Tomasz Wesolowski, 2015, ACSS.

The New Multilayer Ensemble Classifier for Verifying Users Based on Keystroke Dynamics

Rafal Doroz, Piotr Porwik, Hossein Safaverdi, 2015, ICCCI.

Person verification based on keystroke dynamics

Rafal Doroz, Hossein Safaverdi, Piotr Porwik, 2015 .

Keystroke Data Classification for Computer User Profiling and Verification

Piotr Porwik, Tomasz E. Wesolowski, Tomasz Wesolowski, 2015, ICCCI.

Signature Recognition Based on Voting Schemes

Rafal Doroz, Piotr Porwik, Krzysztof Wrobel, 2013, 2013 International Conference on Biometrics and Kansei Engineering.

On-Line Signature Recognition Based on an Analysis of Dynamic Feature

Rafal Doroz, Piotr Porwik, Malgorzata Palys, 2013, 2013 International Conference on Biometrics and Kansei Engineering.

A new signature similarity measure

Rafal Doroz, Piotr Porwik, Krzysztof Wrobel, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

The Compact Three Stages Method of the Signature Recognition

Piotr Porwik, P. Porwik, 2007, 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07).

Segmentation of vehicle detector data for improved k-nearest neighbours-based traffic flow prediction

Marcin Bernaś, Teresa Pamuła, Bartłomiej Płaczek, 2015 .

A Survey of Big Data Issues in Electronic Health Record Analysis

Piotr Porwik, Manuel Graña, Bartosz Krawczyk, 2016, Appl. Artif. Intell..

The k-NN classifier and self-adaptive Hotelling data reduction technique in handwritten signatures recognition

Rafal Doroz, Piotr Porwik, Tomasz Orczyk, 2014, Pattern Analysis and Applications.

Molecular identification and chromosomal localization of new powdery mildew resistance gene Pm11 in oat Title: The k-NN classifier and self-adaptive Hotelling data reduction technique in handwritten signatures recognition

P. Porwik, R. Doroz, T. Orczyk, 2015 .

Conditions of the Affine Extension of an Incompletely Defined Boolean Function

Piotr Porwik, P. Porwik, 2012 .

Efficient Algorithm of Affine Form Searching forWeakly Specified Boolean Function

Piotr Porwik, P. Porwik, 2007, Fundam. Informaticae.

ISOLATED WORD DESCRIPTORS AS CONTROL PARAMETERS OF THE COMPUTER APPLICATIONS

Piotr Porwik, P. Porwik, 2006 .

DIAGNOSING PARKINSON'S DISEASE USING THE CLASSIFICATION OF SPEECH SIGNALS

Piotr Porwik, Krzysztof Wrobel, Wojciech Froelich, 2014 .

The Matching Method for Rectified Stereo Images Based on Minimal Element Distance and RGB Component Analysis

Rafal Doroz, Piotr Porwik, Zygmunt Wróbel, 2016, ICCCI.

Classifier learning from difficult data on the example of missing features

P. Porwik, R. Doroz, T. Orczyk, 2021, IEEE International Joint Conference on Neural Network.

Intelligent Methods Applied to Health-Care Information Systems

Piotr Porwik, Manuel Graña, Michal Wozniak, 2016, Appl. Artif. Intell..

Missing Value Imputation Method Using Separate Features Nearest Neighbors Algorithm

Rafal Doroz, Piotr Porwik, Tomasz Orczyk, 2021, ICCS.

THE ATTEMPT OF THE BLOOD VESSEL CONTRACTIBILITY ESTIMATION ON THE BASIS OF THE COMPUTED TOMOGRAPHY IMAGING 3

Piotr Porwik, Krzysztof Wrobel, Maciej Sosnowski, 2011 .