Modeling Consumer Decision Making Process with Triangular Norms. - Agnieszka Jastrzebska; Wladyslaw Homenda (CISIM, 2012)

Modeling consumer's choice theory using fuzzy sets and their generalizations. - Wladyslaw Homenda; Agnieszka Jastrzebska (FUZZ-IEEE, 2012)

On Structuring of the Space of Needs in the Framework of Fuzzy Sets Theory. - Agnieszka Jastrzebska; Wladyslaw Homenda (ICCCI (1), 2012)

Similarities in Spaces of Features and Concepts: Towards Semantic Evaluations. - Wladyslaw Homenda; Agnieszka Jastrzebska (FedCSIS, 2013)

Optical Music Recognition as the Case of Imbalanced Pattern Recognition: A Study of Complex Classifiers. - Agnieszka Jastrzebska; Wojciech Lesinski (ICSS, 2013)

Complementarity and Similarity of Complementary Structures in Spaces of Features and Concepts. - Wladyslaw Homenda; Agnieszka Jastrzebska (KICSS, 2013)

Modeling in Feature and Concept Spaces: Exclusion Relations and Similarities of Features Related with Exclusions. - Agnieszka Jastrzebska; Wojciech Lesinski (KICSS, 2013)

Optical Music Recognition as the Case of Imbalanced Pattern Recognition: A Study of Single Classifiers. - Agnieszka Jastrzebska; Wojciech Lesinski (KICSS, 2013)

Joining Concept's Based Fuzzy Cognitive Map Model with Moving Window Technique for Time Series Modeling. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz (CISIM, 2014)

Time Series Modeling with Fuzzy Cognitive Maps: Simplification Strategies - The Case of a Posteriori Removal of Nodes and Weights. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz (CISIM, 2014)

Similarities in structured spaces of sets. - Wladyslaw Homenda; Agnieszka Jastrzebska (FUZZ-IEEE, 2014)

Modeling time series with fuzzy cognitive maps. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz (FUZZ-IEEE, 2014)

Granular Cognitive Maps reconstruction. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz (FUZZ-IEEE, 2014)

Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz (ICAART (1), 2014)

Granular Cognitive Map Reconstruction - Adjusting Granularity Parameters. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz (ICEIS (2), 2014)

Nodes Selection Criteria for Fuzzy Cognitive Maps Designed to Model Time Series. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz (IEEE Conf. on Intelligent Systems (2), 2014)

A Geometrical Approach to Rejecting Option in Pattern Recognition Problem. - Jakub Ciecierski; Bartomiej Dybisz; Agnieszka Jastrzebska; Witold Pedrycz (CISIM, 2015)

Modelling Human Cognitive Processes - Unipolar vs Bipolar Uncertainty. - Agnieszka Jastrzebska; Wojciech Lesinski; Mariusz Rybnik (CISIM, 2015)

Optical Music Recognition: Standard and Cost-Sensitive Learning with Imbalanced Data. - Wojciech Lesinski; Agnieszka Jastrzebska (CISIM, 2015)

Rejecting Foreign Elements in Pattern Recognition Problem - Reinforced Training of Rejection Level. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz (ICAART (2), 2015)

Time Series Modelling with Fuzzy Cognitive Maps - Study on an Alternative Concept's Representation Method. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz (ICAART (2), 2015)

Global, local and embedded architectures for multiclass classification with foreign elements rejection: An overview. - Wladyslaw Homenda; Agnieszka Jastrzebska (SoCPaR, 2015)

A Study on Fuzzy Cognitive Map Optimization Using Metaheuristics. - Aleksander Cislak; Wladyslaw Homenda; Agnieszka Jastrzebska (CISIM, 2016)

Pattern Recognition with Rejection - Combining Standard Classification Methods with Geometrical Rejecting. - Wladyslaw Homenda; Agnieszka Jastrzebska; Piotr Waszkiewicz; Anna Zawadzka (CISIM, 2016)

Multicriteria decision making inspired by human cognitive processes. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz (Appl. Math. Comput., 2016)

Design of Fuzzy Cognitive Maps for Modeling Time Series. - Witold Pedrycz; Agnieszka Jastrzebska; Wladyslaw Homenda (IEEE Trans. Fuzzy Syst., 2016)

Pattern Classification with Rejection Using Cellular Automata-Based Filtering. - Agnieszka Jastrzebska; Rafael Toro Sluzhenko (CISIM, 2017)

Foreign Patterns Rejection Using Clustering and Classification. - Wladyslaw Homenda; Agnieszka Jastrzebska (IIAI-AAI, 2017)

A Practical Study on Feature Selection Methods in Pattern Recognition: Examples of Handwritten Digits and Printed Musical Notation. - Wladyslaw Homenda; Agnieszka Jastrzebska (IIAI-AAI, 2017)

Decision Making Beyond Pattern Recognition: Classification or Rejection. - Wladyslaw Homenda; Agnieszka Jastrzebska; Piotr Waszkiewicz (KES-IDT (1), 2017)

Unsupervised Mode of Rejection of Foreign Patterns. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz (Appl. Soft Comput., 2017)

Clustering techniques for Fuzzy Cognitive Map design for time series modeling. - Wladyslaw Homenda; Agnieszka Jastrzebska (Neurocomputing, 2017)

A New Adaptive Fuzzy Cognitive Map-Based Forecasting Model for Time Series. - Yihan Wang; Fusheng Yu; Wladyslaw Homenda; Agnieszka Jastrzebska; Xiao Wang 008 (ISKE, 2019)

Interpretation-aware Cognitive Map construction for time series modeling. - Agnieszka Jastrzebska; Aleksander Cislak (Fuzzy Sets Syst., 2019)

Multicriteria Decision Making: Scale, Polarity, Symmetry, Interpretability. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz; Fusheng Yu; Yihan Wang (FUZZ-IEEE, 2020)

Information Granules and Granular Models: Selected Design Investigations. - Witold Pedrycz; Wladyslaw Homenda; Agnieszka Jastrzebska; Fusheng Yu (FUZZ-IEEE, 2020)

Combining Classifiers for Foreign Pattern Rejection. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz; Fusheng Yu (J. Artif. Intell. Soft Comput. Res., 2020)

Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches. - Gonzalo Nápoles; Agnieszka Jastrzebska; Carlos Mosquera; Koen Vanhoof; Wladyslaw Homenda (Neural Networks, 2020)

Lagged encoding for image-based time series classification using convolutional neural networks. - Agnieszka Jastrzebska (Stat. Anal. Data Min., 2020)

Time-Series Classification Using Fuzzy Cognitive Maps. - Wladyslaw Homenda; Agnieszka Jastrzebska (IEEE Trans. Fuzzy Syst., 2020)

Text-Based Delay Prediction in a Public Transport Monitoring System. - Agnieszka Jastrzebska; Wladyslaw Homenda (SIGSPATIAL/GIS, 2021)

Measuring Wind Turbine Health Using Drifting Concepts. - Agnieszka Jastrzebska; Alejandro Morales Hernández; Gonzalo Nápoles; Yamisleydi Salgueiro; Koen Vanhoof (CoRR, 2021)

Examining GDP Growth and Its Volatility: An Episodic Approach. - Jakub Bartak; Lukasz Jablonski; Agnieszka Jastrzebska (Entropy, 2021)

Pattern classification with Evolving Long-term Cognitive Networks. - Gonzalo Nápoles; Agnieszka Jastrzebska; Yamisleydi Salgueiro (Inf. Sci., 2021)

COSTI: a New Classifier for Sequences of Temporal Intervals. - Jakub Michal Bilski; Agnieszka Jastrzebska (DSAA, 2022)

Assessing Similarities of Business Cycles with Fuzzy Concept-Based Models. - Jakub Bartak; Agnieszka Jastrzebska (FUZZ-IEEE, 2022)

ARIMA Feature-Based Approach to Time Series Classification. - Agnieszka Jastrzebska; Wladyslaw Homenda; Witold Pedrycz (ICCS (1), 2022)

Time Series Classification Using Images. - Wladyslaw Homenda; Agnieszka Jastrzebska; Mariusz Wrzesien (ISD, 2022)

Supervised Identification of Writer's Native Language Based on Their English Word Usage. - Agnieszka Jastrzebska; Wladyslaw Homenda (ISD, 2022)

Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of Incident Detection. - Agnieszka Bier; Agnieszka Jastrzebska; Pawel Olszewski (IEEE Access, 2022)

Online learning of windmill time series using Long Short-term Cognitive Networks. - Alejandro Morales Hernández; Gonzalo Nápoles; Agnieszka Jastrzebska; Yamisleydi Salgueiro; Koen Vanhoof (Expert Syst. Appl., 2022)

Time-series classification with SAFE: Simple and fast segmented word embedding-based neural time series classifier. - Nuzhat Tabassum; Sujeendran Menon; Agnieszka Jastrzebska (Inf. Process. Manag., 2022)

Time series classification through visual pattern recognition. - Agnieszka Jastrzebska (J. King Saud Univ. Comput. Inf. Sci., 2022)

Evaluating time series similarity using concept-based models. - Agnieszka Jastrzebska; Gonzalo Nápoles; Yamisleydi Salgueiro; Koen Vanhoof (Knowl. Based Syst., 2022)

Long short-term cognitive networks. - Gonzalo Nápoles; Isel Grau; Agnieszka Jastrzebska; Yamisleydi Salgueiro (Neural Comput. Appl., 2022)

The Trend-Fuzzy-Granulation-Based Adaptive Fuzzy Cognitive Map for Long-Term Time Series Forecasting. - Yihan Wang; Fusheng Yu; Wladyslaw Homenda; Witold Pedrycz; Yuqing Tang 002; Agnieszka Jastrzebska; Fang Li (IEEE Trans. Fuzzy Syst., 2022)

Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task. - Jakub Michal Bilski; Agnieszka Jastrzebska (FUZZ, 2023)

Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models. - Jakub Bartak; Agnieszka Jastrzebska (IEEE Access, 2023)

Fuzzy Cognitive Map-Driven Comprehensive Time-Series Classification. - Agnieszka Jastrzebska; Gonzalo Nápoles; Wladyslaw Homenda; Koen Vanhoof (IEEE Trans. Cybern., 2023)

Training Novel Adaptive Fuzzy Cognitive Map by Knowledge-Guidance Learning Mechanism for Large-Scale Time-Series Forecasting. - Yihan Wang; Fusheng Yu; Wladyslaw Homenda; Witold Pedrycz; Agnieszka Jastrzebska; Xiao Wang 008 (IEEE Trans. Cybern., 2023)

Prolog-based agnostic explanation module for structured pattern classification. - Gonzalo Nápoles; Fabian Hoitsma; Andreas Knoben; Agnieszka Jastrzebska; Maikel León Espinosa (Inf. Sci., 2023)

CALIMERA: A new early time series classification method. - Jakub Michal Bilski; Agnieszka Jastrzebska (Inf. Process. Manag., 2023)

Presumably correct decision sets. - Gonzalo Nápoles; Isel Grau; Agnieszka Jastrzebska; Yamisleydi Salgueiro (Pattern Recognit., 2023)

Dynamic Growing and Shrinking of Neural Networks with Monte Carlo Tree Search. - Szymon Swiderski; Agnieszka Jastrzebska (ICCS (1), 2024)

A New Symbolic Time Series Representation Method Based on Data Fuzzification. - Agnieszka Jastrzebska; Zofia Matusiewicz; Gonzalo Nápoles (ISD, 2024)

Data-driven human and bot recognition from web activity logs based on hybrid learning techniques. - Marek Gajewski; Olgierd Hryniewicz; Agnieszka Jastrzebska; Mariusz Kozakiewicz; Karol R. Opara; Jan W. Owsinski; Slawomir Zadrozny; Tomasz Zwierzchowski (Digit. Commun. Networks, 2024)

On the Improvements of Metaheuristic Optimization-Based Strategies for Time Series Structural Break Detection. - Mateusz Burczaniuk; Agnieszka Jastrzebska (Informatica, 2024)

Backpropagation through time learning for recurrence-aware long-term cognitive networks. - Gonzalo Nápoles; Agnieszka Jastrzebska; Isel Grau; Yamisleydi Salgueiro (Knowl. Based Syst., 2024)

Forward Composition Propagation for Explainable Neural Reasoning. - Isel Grau; Gonzalo Nápoles; Marilyn Bello; Yamisleydi Salgueiro; Agnieszka Jastrzebska (IEEE Comput. Intell. Mag., 2024)

Time series classification with their image representation. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz; Mariusz Wrzesien (Neurocomputing, 2024)

Dynamic Neural Network with Matrix-Extended Residual Connections. - Szymon Swiderski; Agnieszka Jastrzebska (ICCS (2), 2025)

Estimating the limit state space of quasi-nonlinear Fuzzy Cognitive Maps. - Leonardo Concepción; Gonzalo Nápoles; Agnieszka Jastrzebska; Isel Grau; Yamisleydi Salgueiro (Appl. Soft Comput., 2025)

Macroeconomic nowcasting (st)ability: Evidence from vintages of time-series data. - Elzbieta Jowik; Agnieszka Jastrzebska; Gonzalo Nápoles (Expert Syst. Appl., 2025)

Learning-based aggregation of Quasi-Nonlinear Fuzzy Cognitive Maps. - Gonzalo Nápoles; Isel Grau; Agnieszka Jastrzebska; Yamisleydi Salgueiro (Neurocomputing, 2025)

Data classification with dynamically growing and shrinking neural networks. - Szymon Swiderski; Agnieszka Jastrzebska (J. Comput. Sci., 2025)