Agnieszka Jastrzebska

85 papers B 8C 1Misc 1Journal 43Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Forecast what matters, when it matters: Introducing Maynard, a tool for modern nowcasting. SoftwareX Elzbieta Jowik, Agnieszka Jastrzebska, Michal Gamrot
2026	J	`jnl`	Sparseness-Optimized Feature Importance for Time Series Classification. IEEE Access Isel Grau, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2025	J	`jnl`	A Review on Fuzzy Cognitive Mapping: Recent Advances and Algorithms. Big Data Cogn. Comput. Gonzalo Nápoles, Agnieszka Jastrzebska, Isel Grau, Yamisleydi Salgueiro, Maikel León
2025	—	`conf`	A Survey on Algorithms Used for Drone Energy Consumption Modelling. ICAISC (3) Agnieszka Jastrzebska, Zofia Lagiewka, Piotr Sieczka, Jacek Zalewski
2025	J	`jnl`	Data Classification with Dynamically Growing and Shrinking Neural Networks. CoRR Szymon Swiderski, Agnieszka Jastrzebska
2025	J	`jnl`	Data classification with dynamically growing and shrinking neural networks. J. Comput. Sci. Szymon Swiderski, Agnieszka Jastrzebska
2025	—	`conf`	Dynamic Neural Network with Matrix-Extended Residual Connections. ICCS (2) Szymon Swiderski, Agnieszka Jastrzebska
2025	J	`jnl`	Estimating the limit state space of quasi-nonlinear Fuzzy Cognitive Maps. Appl. Soft Comput. Leonardo Concepción, Gonzalo Nápoles, Agnieszka Jastrzebska, Isel Grau, Yamisleydi Salgueiro
2025	J	`jnl`	Learning-based aggregation of Quasi-Nonlinear Fuzzy Cognitive Maps. Neurocomputing Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2025	J	`jnl`	Macroeconomic nowcasting (st)ability: Evidence from vintages of time-series data. Expert Syst. Appl. Elzbieta Jowik, Agnieszka Jastrzebska, Gonzalo Nápoles
2024	—	`conf`	A New Symbolic Time Series Representation Method Based on Data Fuzzification. ISD Agnieszka Jastrzebska, Zofia Matusiewicz, Gonzalo Nápoles
2024	J	`jnl`	Backpropagation through time learning for recurrence-aware long-term cognitive networks. Knowl. Based Syst. Gonzalo Nápoles, Agnieszka Jastrzebska, Isel Grau, Yamisleydi Salgueiro
2024	J	`jnl`	Data-driven human and bot recognition from web activity logs based on hybrid learning techniques. Digit. Commun. Networks Marek Gajewski, Olgierd Hryniewicz, Agnieszka Jastrzebska, Mariusz Kozakiewicz, Karol R. Opara, Jan W. Owsinski, Slawomir Zadrozny, Tomasz Zwierzchowski
2024	—	`conf`	Dynamic Growing and Shrinking of Neural Networks with Monte Carlo Tree Search. ICCS (1) Szymon Swiderski, Agnieszka Jastrzebska
2024	J	`jnl`	Forward Composition Propagation for Explainable Neural Reasoning. IEEE Comput. Intell. Mag. Isel Grau, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro, Agnieszka Jastrzebska
2024	J	`jnl`	On the Improvements of Metaheuristic Optimization-Based Strategies for Time Series Structural Break Detection. Informatica Mateusz Burczaniuk, Agnieszka Jastrzebska
2024	J	`jnl`	Time series classification with their image representation. Neurocomputing Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Mariusz Wrzesien
2023	J	`jnl`	CALIMERA: A new early time series classification method. Inf. Process. Manag. Jakub Michal Bilski, Agnieszka Jastrzebska
2023	J	`jnl`	Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models. IEEE Access Jakub Bartak, Agnieszka Jastrzebska
2023	J	`jnl`	Fuzzy Cognitive Map-Driven Comprehensive Time-Series Classification. IEEE Trans. Cybern. Agnieszka Jastrzebska, Gonzalo Nápoles, Wladyslaw Homenda, Koen Vanhoof
2023	—	`conf`	Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task. FUZZ Jakub Michal Bilski, Agnieszka Jastrzebska
2023	J	`jnl`	Presumably correct decision sets. Pattern Recognit. Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2023	J	`jnl`	Prolog-based agnostic explanation module for structured pattern classification. Inf. Sci. Gonzalo Nápoles, Fabian Hoitsma, Andreas Knoben, Agnieszka Jastrzebska, Maikel León Espinosa
2023	J	`jnl`	Training Novel Adaptive Fuzzy Cognitive Map by Knowledge-Guidance Learning Mechanism for Large-Scale Time-Series Forecasting. IEEE Trans. Cybern. Yihan Wang, Fusheng Yu, Wladyslaw Homenda, Witold Pedrycz, Agnieszka Jastrzebska, Xiao Wang
2022	—	`conf`	ARIMA Feature-Based Approach to Time Series Classification. ICCS (1) Agnieszka Jastrzebska, Wladyslaw Homenda, Witold Pedrycz
2022	B	`conf`	Assessing Similarities of Business Cycles with Fuzzy Concept-Based Models. FUZZ-IEEE Jakub Bartak, Agnieszka Jastrzebska
2022	B	`conf`	COSTI: a New Classifier for Sequences of Temporal Intervals. DSAA Jakub Michal Bilski, Agnieszka Jastrzebska
2022	J	`jnl`	COSTI: a New Classifier for Sequences of Temporal Intervals. CoRR Jakub Michal Bilski, Agnieszka Jastrzebska
2022	J	`jnl`	Evaluating time series similarity using concept-based models. Knowl. Based Syst. Agnieszka Jastrzebska, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof
2022	J	`jnl`	Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task. CoRR Jakub Michal Bilski, Agnieszka Jastrzebska
2022	J	`jnl`	Long short-term cognitive networks. Neural Comput. Appl. Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2022	J	`jnl`	Online learning of windmill time series using Long Short-term Cognitive Networks. Expert Syst. Appl. Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof
2022	—	`conf`	Supervised Identification of Writer's Native Language Based on Their English Word Usage. ISD Agnieszka Jastrzebska, Wladyslaw Homenda
2022	J	`jnl`	The Trend-Fuzzy-Granulation-Based Adaptive Fuzzy Cognitive Map for Long-Term Time Series Forecasting. IEEE Trans. Fuzzy Syst. Yihan Wang, Fusheng Yu, Wladyslaw Homenda, Witold Pedrycz, Yuqing Tang, Agnieszka Jastrzebska, Fang Li
2022	—	`conf`	Time Series Classification Using Images. ISD Wladyslaw Homenda, Agnieszka Jastrzebska, Mariusz Wrzesien
2022	J	`jnl`	Time series classification through visual pattern recognition. J. King Saud Univ. Comput. Inf. Sci. Agnieszka Jastrzebska
2022	J	`jnl`	Time-series classification with SAFE: Simple and fast segmented word embedding-based neural time series classifier. Inf. Process. Manag. Nuzhat Tabassum, Sujeendran Menon, Agnieszka Jastrzebska
2022	J	`jnl`	Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of Incident Detection. IEEE Access Agnieszka Bier, Agnieszka Jastrzebska, Pawel Olszewski
2021	J	`jnl`	Examining GDP Growth and Its Volatility: An Episodic Approach. Entropy Jakub Bartak, Lukasz Jablonski, Agnieszka Jastrzebska
2021	J	`jnl`	Long Short-term Cognitive Networks. CoRR Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2021	J	`jnl`	Measuring Wind Turbine Health Using Drifting Concepts. CoRR Agnieszka Jastrzebska, Alejandro Morales Hernández, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof
2021	J	`jnl`	Online learning of windmill time series using Long Short-term Cognitive Networks. CoRR Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof
2021	J	`jnl`	Pattern classification with Evolving Long-term Cognitive Networks. Inf. Sci. Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2021	J	`jnl`	Prolog-based agnostic explanation module for structured pattern classification. CoRR Gonzalo Nápoles, Fabian Hoitsma, Andreas Knoben, Agnieszka Jastrzebska, Maikel León Espinosa
2021	—	`conf`	Text-Based Delay Prediction in a Public Transport Monitoring System. SIGSPATIAL/GIS Agnieszka Jastrzebska, Wladyslaw Homenda
2020	J	`jnl`	Combining Classifiers for Foreign Pattern Rejection. J. Artif. Intell. Soft Comput. Res. Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Fusheng Yu
2020	J	`jnl`	Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches. Neural Networks Gonzalo Nápoles, Agnieszka Jastrzebska, Carlos Mosquera, Koen Vanhoof, Wladyslaw Homenda
2020	B	`conf`	Information Granules and Granular Models: Selected Design Investigations. FUZZ-IEEE Witold Pedrycz, Wladyslaw Homenda, Agnieszka Jastrzebska, Fusheng Yu
2020	J	`jnl`	Lagged encoding for image-based time series classification using convolutional neural networks. Stat. Anal. Data Min. Agnieszka Jastrzebska
2020	B	`conf`	Multicriteria Decision Making: Scale, Polarity, Symmetry, Interpretability. FUZZ-IEEE Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Fusheng Yu, Yihan Wang
2020	J	`jnl`	Time-Series Classification Using Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. Wladyslaw Homenda, Agnieszka Jastrzebska
2019	Misc	`conf`	A New Adaptive Fuzzy Cognitive Map-Based Forecasting Model for Time Series. ISKE Yihan Wang, Fusheng Yu, Wladyslaw Homenda, Agnieszka Jastrzebska, Xiao Wang
2019	J	`jnl`	Interpretation-aware Cognitive Map construction for time series modeling. Fuzzy Sets Syst. Agnieszka Jastrzebska, Aleksander Cislak
2017	—	`conf`	A Practical Study on Feature Selection Methods in Pattern Recognition: Examples of Handwritten Digits and Printed Musical Notation. IIAI-AAI Wladyslaw Homenda, Agnieszka Jastrzebska
2017	J	`jnl`	Clustering techniques for Fuzzy Cognitive Map design for time series modeling. Neurocomputing Wladyslaw Homenda, Agnieszka Jastrzebska
2017	—	`conf`	Decision Making Beyond Pattern Recognition: Classification or Rejection. KES-IDT (1) Wladyslaw Homenda, Agnieszka Jastrzebska, Piotr Waszkiewicz
2017	—	`conf`	Foreign Patterns Rejection Using Clustering and Classification. IIAI-AAI Wladyslaw Homenda, Agnieszka Jastrzebska
2017	—	`conf`	Pattern Classification with Rejection Using Cellular Automata-Based Filtering. CISIM Agnieszka Jastrzebska, Rafael Toro Sluzhenko
2017	J	`jnl`	Unsupervised Mode of Rejection of Foreign Patterns. Appl. Soft Comput. Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2016	—	`conf`	A Study on Fuzzy Cognitive Map Optimization Using Metaheuristics. CISIM Aleksander Cislak, Wladyslaw Homenda, Agnieszka Jastrzebska
2016	J	`jnl`	Design of Fuzzy Cognitive Maps for Modeling Time Series. IEEE Trans. Fuzzy Syst. Witold Pedrycz, Agnieszka Jastrzebska, Wladyslaw Homenda
2016	J	`jnl`	Multicriteria decision making inspired by human cognitive processes. Appl. Math. Comput. Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2016	—	`conf`	Pattern Recognition with Rejection - Combining Standard Classification Methods with Geometrical Rejecting. CISIM Wladyslaw Homenda, Agnieszka Jastrzebska, Piotr Waszkiewicz, Anna Zawadzka
2015	—	`conf`	A Geometrical Approach to Rejecting Option in Pattern Recognition Problem. CISIM Jakub Ciecierski, Bartomiej Dybisz, Agnieszka Jastrzebska, Witold Pedrycz
2015	—	`conf`	Global, local and embedded architectures for multiclass classification with foreign elements rejection: An overview. SoCPaR Wladyslaw Homenda, Agnieszka Jastrzebska
2015	—	`conf`	Modelling Human Cognitive Processes - Unipolar vs Bipolar Uncertainty. CISIM Agnieszka Jastrzebska, Wojciech Lesinski, Mariusz Rybnik
2015	—	`conf`	Optical Music Recognition: Standard and Cost-Sensitive Learning with Imbalanced Data. CISIM Wojciech Lesinski, Agnieszka Jastrzebska
2015	—	`conf`	Rejecting Foreign Elements in Pattern Recognition Problem - Reinforced Training of Rejection Level. ICAART (2) Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2015	—	`conf`	Time Series Modelling with Fuzzy Cognitive Maps - Study on an Alternative Concept's Representation Method. ICAART (2) Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2014	—	`conf`	Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments. ICAART (1) Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2014	—	`conf`	Granular Cognitive Map Reconstruction - Adjusting Granularity Parameters. ICEIS (2) Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2014	B	`conf`	Granular Cognitive Maps reconstruction. FUZZ-IEEE Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2014	—	`conf`	Joining Concept's Based Fuzzy Cognitive Map Model with Moving Window Technique for Time Series Modeling. CISIM Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2014	B	`conf`	Modeling time series with fuzzy cognitive maps. FUZZ-IEEE Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2014	—	`conf`	Nodes Selection Criteria for Fuzzy Cognitive Maps Designed to Model Time Series. IEEE Conf. on Intelligent Systems (2) Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2014	B	`conf`	Similarities in structured spaces of sets. FUZZ-IEEE Wladyslaw Homenda, Agnieszka Jastrzebska
2014	—	`conf`	Time Series Modeling with Fuzzy Cognitive Maps: Simplification Strategies - The Case of a Posteriori Removal of Nodes and Weights. CISIM Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2013	—	`conf`	Complementarity and Similarity of Complementary Structures in Spaces of Features and Concepts. KICSS Wladyslaw Homenda, Agnieszka Jastrzebska
2013	—	`conf`	Modeling in Feature and Concept Spaces: Exclusion Relations and Similarities of Features Related with Exclusions. KICSS Agnieszka Jastrzebska, Wojciech Lesinski
2013	—	`conf`	Optical Music Recognition as the Case of Imbalanced Pattern Recognition: A Study of Complex Classifiers. ICSS Agnieszka Jastrzebska, Wojciech Lesinski
2013	—	`conf`	Optical Music Recognition as the Case of Imbalanced Pattern Recognition: A Study of Single Classifiers. KICSS Agnieszka Jastrzebska, Wojciech Lesinski
2013	C	`conf`	Similarities in Spaces of Features and Concepts: Towards Semantic Evaluations. FedCSIS Wladyslaw Homenda, Agnieszka Jastrzebska
2012	—	`conf`	Modeling Consumer Decision Making Process with Triangular Norms. CISIM Agnieszka Jastrzebska, Wladyslaw Homenda
2012	B	`conf`	Modeling consumer's choice theory using fuzzy sets and their generalizations. FUZZ-IEEE Wladyslaw Homenda, Agnieszka Jastrzebska
2012	—	`conf`	On Structuring of the Space of Needs in the Framework of Fuzzy Sets Theory. ICCCI (1) Agnieszka Jastrzebska, Wladyslaw Homenda