Event Detection in Financial Time Series by Immune-Based Approach. - Tomasz Pelech; Jan T. Duda (Intelligent Information Systems, 2006)

A Two-level algorithm of time series change detection based on a unique deviations similarity method. - Tomasz Pelech-Pilichowski; Jan T. Duda (IMCSIT, 2010)

A Hybrid Algorithm for Detecting Changes in Diagnostic Signals Received From Technical Devices. - Tomasz Pelech-Pilichowski (FedCSIS, 2011)

On Problems of Automatic Legal Texts Processing and Information Acquiring from Normative Acts. - Tomasz Pelech-Pilichowski; Wojciech Cyrul; Piotr Potiopa (ABICT, 2012)

Problems of automatic processing and analysis of information from legal texts. - Tomasz Pelech-Pilichowski; Piotr Potiopa; Wojciech Cyrul (FedCSIS, 2012)

Moving Trend Based Filters Design in Frequency Domain. - Jan T. Duda; Tomasz Pelech-Pilichowski (FedCSIS, 2013)

Enhancements of Moving Trend Based Filters Aimed at Time Series Prediction. - Jan Tadeusz Duda; Tomasz Pelech-Pilichowski (ICSS, 2013)

Computer-Aided Legislation Based on Immune-Like Processing of Legal Texts. - Tomasz Pelech-Pilichowski; Wojciech Cyrul (Logic in the Theory and Practice of Lawmaking, 2015)

A two-level detector of short-term unique changes in time series based on a similarity method. - Tomasz Pelech-Pilichowski; Jan T. Duda (Expert Syst. J. Knowl. Eng., 2015)

Low-Frequency Signal Reconstruction and Abrupt Change Detection in Non-stationary Time Series by Enhanced Moving Trend Based Filters. - Tomasz Pelech-Pilichowski; Jan T. Duda (Advances in ICT for Business, Industry and Public Sector, 2015)

Advances in Fuzzy Decision Making - Theory and Practice - Beata Basiura; Jerzy Duda; Bartlomiej Gawel; Janusz Opila; Tomasz Pelech-Pilichowski; Bogdan Rebiasz; Iwona Skalna (Springer, 2015)

Detection of Periodic Components from Seasonal Time Series with Moving Trend Method and Low Pass Filtering. - Jan T. Duda; Tomasz Pelech-Pilichowski (DPS, 2017)

Remarks on visualization of fuzziness of cardiac data. - Janusz Opila; Tomasz Pelech-Pilichowski (MIPRO, 2017)

Visualization of irregular datasets using kernel density estimation function. - Janusz Opila; Tomasz Pelech-Pilichowski (MIPRO, 2018)

On adaptive prediction of nonstationary and inconsistent large time series data. - Tomasz Pelech-Pilichowski (MIPRO, 2018)

Visual Analysis of Similarity and Relationships Between Legal Texts. - Janusz Opila; Tomasz Pelech-Pilichowski (MIPRO, 2020)

Acquisition, Storing, and Processing System for Interdisciplinary Research in Earth Sciences. - Robert Brzoza-Woch; Tomasz Pelech-Pilichowski; Agnieszka Rudnicka; Jacek Dajda; Ewa Adamiec; Elzbieta Jarosz-Krzeminska; Marek Kisiel-Dorohinicki (ICCS (4), 2022)

Neural-Network Based Adaptation of Variation Operators' Parameters for Metaheuristics. - Tymoteusz Dobrzanski; Aleksandra Urbanczyk; Tomasz Pelech-Pilichowski; Marek Kisiel-Dorohinicki; Aleksander Byrski (ICCS (1), 2022)

Analysis of Virtual Reality Based on the Internet of Things on Human Psychology 'Internet of Thoughts' (IoThs) for Rich Content Extraction Applied Natural Language Processing and Deep Learning. - Pascal Muam Mah; Iwona Skalna; Tomasz Pelech-Pilichowski; Tomasz Derlecki; Mahmoud Nasr; Eric Munyeshuri; Gilly Njoh Amuzang; Micheal Blake Somaah Itoe; Ning Frida Tah (ICOST, 2023)

Automated Prediction of Air Pollution Conditions in Environment Monitoring Systems. - Dawid Bialka; Malgorzata Zajecka; Ada Brzoza-Zajecka; Tomasz Pelech-Pilichowski (ICCS (7), 2024)

Case ID detection based on time series data - the mining use case. - Edyta Brzychczy; Tomasz Pelech-Pilichowski; Ziemowit Dworakowski (CoRR, 2024)

AI-Based Facial-Age Detection and IoT for Enhanced Data Security in Social Media. - Pascal Muam Mah; Iwona Skalna; Tomasz Pelech-Pilichowski (AAAI Spring Symposia, 2025)