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2020 – today
- 2024
[j28]Isel Grau
, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro, Agnieszka Jastrzebska:
Forward Composition Propagation for Explainable Neural Reasoning. IEEE Comput. Intell. Mag. 19(1): 26-35 (2024)- [j27]Marek Gajewski, Olgierd Hryniewicz, Agnieszka Jastrzebska, Mariusz Kozakiewicz, Karol R. Opara, Jan W. Owsinski, Slawomir Zadrozny, Tomasz Zwierzchowski:
Data-driven human and bot recognition from web activity logs based on hybrid learning techniques. Digit. Commun. Networks 10(4): 1178-1188 (2024) - [j26]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Mariusz Wrzesien:
Time series classification with their image representation. Neurocomputing 573: 127214 (2024) - [j25]Gonzalo Nápoles, Agnieszka Jastrzebska, Isel Grau, Yamisleydi Salgueiro:
Backpropagation through time learning for recurrence-aware long-term cognitive networks. Knowl. Based Syst. 295: 111825 (2024) - [c40]Szymon Swiderski, Agnieszka Jastrzebska:
Dynamic Growing and Shrinking of Neural Networks with Monte Carlo Tree Search. ICCS (1) 2024: 362-377 - [c39]Agnieszka Jastrzebska, Zofia Matusiewicz, Gonzalo Nápoles:
A New Symbolic Time Series Representation Method Based on Data Fuzzification. ISD 2024 - 2023
- [j24]Jakub Bartak, Agnieszka Jastrzebska:
Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models. IEEE Access 11: 11664-11674 (2023) - [j23]Jakub Michal Bilski, Agnieszka Jastrzebska:
CALIMERA: A new early time series classification method. Inf. Process. Manag. 60(5): 103465 (2023) - [j22]Gonzalo Nápoles, Fabian Hoitsma, Andreas Knoben, Agnieszka Jastrzebska, Maikel León Espinosa:
Prolog-based agnostic explanation module for structured pattern classification. Inf. Sci. 622: 1196-1227 (2023) - [j21]Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro:
Presumably correct decision sets. Pattern Recognit. 141: 109640 (2023) - [j20]Agnieszka Jastrzebska, Gonzalo Nápoles, Wladyslaw Homenda, Koen Vanhoof:
Fuzzy Cognitive Map-Driven Comprehensive Time-Series Classification. IEEE Trans. Cybern. 53(2): 1348-1359 (2023) - [j19]Yihan Wang, Fusheng Yu, Wladyslaw Homenda, Witold Pedrycz, Agnieszka Jastrzebska, Xiao Wang:
Training Novel Adaptive Fuzzy Cognitive Map by Knowledge-Guidance Learning Mechanism for Large-Scale Time-Series Forecasting. IEEE Trans. Cybern. 53(7): 4665-4676 (2023) - [c38]Jakub Michal Bilski, Agnieszka Jastrzebska:
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task. FUZZ 2023: 1-7 - 2022
- [j18]Agnieszka Bier, Agnieszka Jastrzebska, Pawel Olszewski:
Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of Incident Detection. IEEE Access 10: 95701-95715 (2022) - [j17]Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof:
Online learning of windmill time series using Long Short-term Cognitive Networks. Expert Syst. Appl. 205: 117721 (2022) - [j16]Nuzhat Tabassum, Sujeendran Menon, Agnieszka Jastrzebska:
Time-series classification with SAFE: Simple and fast segmented word embedding-based neural time series classifier. Inf. Process. Manag. 59(5): 103044 (2022) - [j15]Agnieszka Jastrzebska:
Time series classification through visual pattern recognition. J. King Saud Univ. Comput. Inf. Sci. 34(2): 134-142 (2022) - [j14]Agnieszka Jastrzebska, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof:
Evaluating time series similarity using concept-based models. Knowl. Based Syst. 238: 107811 (2022) - [j13]Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro:
Long short-term cognitive networks. Neural Comput. Appl. 34(19): 16959-16971 (2022) - [j12]Yihan Wang, Fusheng Yu, Wladyslaw Homenda, Witold Pedrycz, Yuqing Tang, Agnieszka Jastrzebska, Fang Li:
The Trend-Fuzzy-Granulation-Based Adaptive Fuzzy Cognitive Map for Long-Term Time Series Forecasting. IEEE Trans. Fuzzy Syst. 30(12): 5166-5180 (2022) - [c37]Jakub Michal Bilski, Agnieszka Jastrzebska:
COSTI: a New Classifier for Sequences of Temporal Intervals. DSAA 2022: 1-10 - [c36]Jakub Bartak, Agnieszka Jastrzebska:
Assessing Similarities of Business Cycles with Fuzzy Concept-Based Models. FUZZ-IEEE 2022: 1-8 - [c35]Agnieszka Jastrzebska, Wladyslaw Homenda, Witold Pedrycz:
ARIMA Feature-Based Approach to Time Series Classification. ICCS (1) 2022: 192-199 - [c34]Wladyslaw Homenda, Agnieszka Jastrzebska, Mariusz Wrzesien:
Time Series Classification Using Images. ISD 2022 - [c33]Agnieszka Jastrzebska, Wladyslaw Homenda:
Supervised Identification of Writer's Native Language Based on Their English Word Usage. ISD 2022 - [i6]Jakub Michal Bilski, Agnieszka Jastrzebska:
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task. CoRR abs/2204.13455 (2022) - [i5]Jakub Michal Bilski, Agnieszka Jastrzebska:
COSTI: a New Classifier for Sequences of Temporal Intervals. CoRR abs/2204.13467 (2022) - 2021
- [j11]Jakub Bartak, Lukasz Jablonski, Agnieszka Jastrzebska:
Examining GDP Growth and Its Volatility: An Episodic Approach. Entropy 23(7): 890 (2021) - [j10]Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro:
Pattern classification with Evolving Long-term Cognitive Networks. Inf. Sci. 548: 461-478 (2021) - [c32]Agnieszka Jastrzebska, Wladyslaw Homenda:
Text-Based Delay Prediction in a Public Transport Monitoring System. SIGSPATIAL/GIS 2021: 25-28 - [i4]Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro:
Long Short-term Cognitive Networks. CoRR abs/2106.16233 (2021) - [i3]Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof:
Online learning of windmill time series using Long Short-term Cognitive Networks. CoRR abs/2107.00425 (2021) - [i2]Agnieszka Jastrzebska, Alejandro Morales Hernández, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof:
Measuring Wind Turbine Health Using Drifting Concepts. CoRR abs/2112.04933 (2021) - [i1]Gonzalo Nápoles, Fabian Hoitsma, Andreas Knoben, Agnieszka Jastrzebska, Maikel León Espinosa:
Prolog-based agnostic explanation module for structured pattern classification. CoRR abs/2112.12641 (2021) - 2020
- [j9]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Fusheng Yu:
Combining Classifiers for Foreign Pattern Rejection. J. Artif. Intell. Soft Comput. Res. 10(2): 75-94 (2020) - [j8]Gonzalo Nápoles, Agnieszka Jastrzebska, Carlos Mosquera, Koen Vanhoof, Wladyslaw Homenda:
Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches. Neural Networks 124: 258-268 (2020) - [j7]Agnieszka Jastrzebska:
Lagged encoding for image-based time series classification using convolutional neural networks. Stat. Anal. Data Min. 13(3): 245-260 (2020) - [j6]Wladyslaw Homenda, Agnieszka Jastrzebska:
Time-Series Classification Using Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 28(7): 1383-1394 (2020) - [c31]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Fusheng Yu, Yihan Wang:
Multicriteria Decision Making: Scale, Polarity, Symmetry, Interpretability. FUZZ-IEEE 2020: 1-8 - [c30]Witold Pedrycz, Wladyslaw Homenda, Agnieszka Jastrzebska, Fusheng Yu:
Information Granules and Granular Models: Selected Design Investigations. FUZZ-IEEE 2020: 1-8
2010 – 2019
- 2019
- [j5]Agnieszka Jastrzebska, Aleksander Cislak:
Interpretation-aware Cognitive Map construction for time series modeling. Fuzzy Sets Syst. 361: 33-55 (2019) - [c29]Yihan Wang, Fusheng Yu, Wladyslaw Homenda, Agnieszka Jastrzebska, Xiao Wang:
A New Adaptive Fuzzy Cognitive Map-Based Forecasting Model for Time Series. ISKE 2019: 1112-1118 - 2017
- [j4]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Unsupervised Mode of Rejection of Foreign Patterns. Appl. Soft Comput. 57: 615-626 (2017) - [j3]Wladyslaw Homenda, Agnieszka Jastrzebska:
Clustering techniques for Fuzzy Cognitive Map design for time series modeling. Neurocomputing 232: 3-15 (2017) - [c28]Agnieszka Jastrzebska, Rafael Toro Sluzhenko:
Pattern Classification with Rejection Using Cellular Automata-Based Filtering. CISIM 2017: 3-14 - [c27]Wladyslaw Homenda, Agnieszka Jastrzebska:
Foreign Patterns Rejection Using Clustering and Classification. IIAI-AAI 2017: 1031-1034 - [c26]Wladyslaw Homenda, Agnieszka Jastrzebska:
A Practical Study on Feature Selection Methods in Pattern Recognition: Examples of Handwritten Digits and Printed Musical Notation. IIAI-AAI 2017: 1035-1038 - [c25]Wladyslaw Homenda, Agnieszka Jastrzebska, Piotr Waszkiewicz:
Decision Making Beyond Pattern Recognition: Classification or Rejection. KES-IDT (1) 2017: 173-183 - 2016
- [j2]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Multicriteria decision making inspired by human cognitive processes. Appl. Math. Comput. 290: 392-411 (2016) - [j1]Witold Pedrycz, Agnieszka Jastrzebska, Wladyslaw Homenda:
Design of Fuzzy Cognitive Maps for Modeling Time Series. IEEE Trans. Fuzzy Syst. 24(1): 120-130 (2016) - [c24]Aleksander Cislak, Wladyslaw Homenda, Agnieszka Jastrzebska:
A Study on Fuzzy Cognitive Map Optimization Using Metaheuristics. CISIM 2016: 577-588 - [c23]Wladyslaw Homenda, Agnieszka Jastrzebska, Piotr Waszkiewicz, Anna Zawadzka:
Pattern Recognition with Rejection - Combining Standard Classification Methods with Geometrical Rejecting. CISIM 2016: 589-602 - 2015
- [c22]Jakub Ciecierski, Bartomiej Dybisz, Agnieszka Jastrzebska, Witold Pedrycz:
A Geometrical Approach to Rejecting Option in Pattern Recognition Problem. CISIM 2015: 231-243 - [c21]Agnieszka Jastrzebska, Wojciech Lesinski, Mariusz Rybnik:
Modelling Human Cognitive Processes - Unipolar vs Bipolar Uncertainty. CISIM 2015: 363-374 - [c20]Wojciech Lesinski, Agnieszka Jastrzebska:
Optical Music Recognition: Standard and Cost-Sensitive Learning with Imbalanced Data. CISIM 2015: 601-612 - [c19]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Rejecting Foreign Elements in Pattern Recognition Problem - Reinforced Training of Rejection Level. ICAART (2) 2015: 90-99 - [c18]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Time Series Modelling with Fuzzy Cognitive Maps - Study on an Alternative Concept's Representation Method. ICAART (2) 2015: 406-413 - [c17]Wladyslaw Homenda, Agnieszka Jastrzebska:
Global, local and embedded architectures for multiclass classification with foreign elements rejection: An overview. SoCPaR 2015: 89-94 - 2014
- [c16]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Joining Concept's Based Fuzzy Cognitive Map Model with Moving Window Technique for Time Series Modeling. CISIM 2014: 397-408 - [c15]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Time Series Modeling with Fuzzy Cognitive Maps: Simplification Strategies - The Case of a Posteriori Removal of Nodes and Weights. CISIM 2014: 409-420 - [c14]Wladyslaw Homenda, Agnieszka Jastrzebska:
Similarities in structured spaces of sets. FUZZ-IEEE 2014: 1697-1704 - [c13]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Modeling time series with fuzzy cognitive maps. FUZZ-IEEE 2014: 2055-2062 - [c12]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Granular Cognitive Maps reconstruction. FUZZ-IEEE 2014: 2572-2579 - [c11]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments. ICAART (1) 2014: 499-510 - [c10]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Granular Cognitive Map Reconstruction - Adjusting Granularity Parameters. ICEIS (2) 2014: 175-184 - [c9]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Nodes Selection Criteria for Fuzzy Cognitive Maps Designed to Model Time Series. IEEE Conf. on Intelligent Systems (2) 2014: 859-870 - 2013
- [c8]Wladyslaw Homenda, Agnieszka Jastrzebska:
Similarities in Spaces of Features and Concepts: Towards Semantic Evaluations. FedCSIS 2013: 257-260 - [c7]Agnieszka Jastrzebska, Wojciech Lesinski:
Optical Music Recognition as the Case of Imbalanced Pattern Recognition: A Study of Complex Classifiers. ICSS 2013: 325-335 - [c6]Wladyslaw Homenda, Agnieszka Jastrzebska:
Complementarity and Similarity of Complementary Structures in Spaces of Features and Concepts. KICSS 2013: 427-439 - [c5]Agnieszka Jastrzebska, Wojciech Lesinski:
Modeling in Feature and Concept Spaces: Exclusion Relations and Similarities of Features Related with Exclusions. KICSS 2013: 441-453 - [c4]Agnieszka Jastrzebska, Wojciech Lesinski:
Optical Music Recognition as the Case of Imbalanced Pattern Recognition: A Study of Single Classifiers. KICSS 2013: 493-505 - 2012
- [c3]Agnieszka Jastrzebska, Wladyslaw Homenda:
Modeling Consumer Decision Making Process with Triangular Norms. CISIM 2012: 382-394 - [c2]Wladyslaw Homenda, Agnieszka Jastrzebska:
Modeling consumer's choice theory using fuzzy sets and their generalizations. FUZZ-IEEE 2012: 1-8 - [c1]Agnieszka Jastrzebska, Wladyslaw Homenda:
On Structuring of the Space of Needs in the Framework of Fuzzy Sets Theory. ICCCI (1) 2012: 156-165
Coauthor Index
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last updated on 2024-11-20 21:00 CET by the dblp team
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