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Katarzyna Kaczmarek-Majer
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2020 – today
- 2024
- [j10]Jörg Verstraete
, Weronika Radziszewska
Combined Defuzzification Under Shared Constraint. IEEE Trans. Fuzzy Syst. 32(5): 3049-3058 (2024) - [j9]Kamil Kmita
Explainable Impact of Partial Supervision in Semi-Supervised Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 32(5): 3189-3198 (2024) - [c26]Gabriella Casalino, Giovanna Castellano, Daniele Di Mitri, Katarzyna Kaczmarek-Majer, Gianluca Zaza
A Human-centric Approach to Explain Evolving Data: A Case Study on Education. EAIS 2024: 1-8 - [c25]Gabriella Casalino, Giovanna Castellano, Katarzyna Kaczmarek-Majer, Pietro Giovanni Rizzo, Gianluca Zaza:
Explaining Predictions of Hypertension Disease through Anchors. EXPLIMED@ECAI 2024 - [c24]Gabriella Casalino
Prototype-Based Explanations to Improve Understanding of Unsupervised Datasets. FUZZ 2024: 1-8 - 2023
- [j8]Gabriella Casalino, Giovanna Castellano, Olgierd Hryniewicz, Daniel Leite
Semi-supervised vs. supervised learning for mental health monitoring: A case study on bipolar disorder. Int. J. Appl. Math. Comput. Sci. 33(3) (2023) - [c23]Kamil Kmita
Classification Error in Semi-Supervised Fuzzy C-Means. EUSFLAT/AGOP 2023: 725-736 - [e1]Gabriella Casalino, Giovanna Castellano, Katarzyna Kaczmarek-Majer, Daniel Leite:
Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), Padova, Italy, July 18, 2022. CEUR Workshop Proceedings 3380, CEUR-WS.org 2023 [contents] - 2022
- [j7]Katarzyna Kaczmarek-Majer, Gabriella Casalino
Explaining smartphone-based acoustic data in bipolar disorder: Semi-supervised fuzzy clustering and relative linguistic summaries. Inf. Sci. 588: 174-195 (2022) - [j6]Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Monika Dominiak, Olgierd Hryniewicz, Olga Kaminska, Gennaro Vessio, Natalia Díaz Rodríguez:
PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries. Inf. Sci. 614: 374-399 (2022) - [j5]Karol R. Opara
Road Roughness Estimation Through Smartphone-Measured Acceleration. IEEE Intell. Transp. Syst. Mag. 14(2): 209-220 (2022) - [c22]Sandra Sjöstrand, Marion Bacou, Adrian Thomson, Katarzyna Kaczmarek
Contrast enhanced magneto-motive ultrasound in lymph nodes - modelling and pre-clinical imaging using magnetic microbubbles. EMBC 2022: 194-197 - [c21]Olga Kaminska, Katarzyna Kaczmarek-Majer, Olgierd Hryniewicz:
Impact of clustering unlabeled data on classification: case study in bipolar disorder. FedCSIS 2022: 931-934 - [c20]Katarzyna Kaczmarek-Majer, Adam Kiersztyn
Experimental evaluation of the accuracy of an ensemble of fuzzy methods for classification of episodes in bipolar disorder. FUZZ-IEEE 2022: 1-7 - [c19]Kamil Kmita, Gabriella Casalino, Giovanna Castellano, Olgierd Hryniewicz, Katarzyna Kaczmarek-Majer:
Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring. FUZZ-IEEE 2022: 1-8 - [c18]Milosz Fraszczyk, Katarzyna Kaczmarek-Majer, Olgierd Hryniewicz, Krzysztof Skotak, Anna Degórska:
Expert-in-the-loop Stepwise Regression and its Application in Air Pollution Modeling. IS 2022: 1-7 - [c17]Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Daniel F. Leite
Fuzzy Linguistic Summaries for Explaining Online Semi-Supervised Learning. IS 2022: 1-8 - [c16]Katarzyna Kaczmarek-Majer, Aleksandra Rutkowska, Olgierd Hryniewicz:
Evolving Membership Functions in Fuzzy Linguistic Summarization. OLUD@WCCI 2022 - 2021
- [c15]Gabriella Casalino
Intelligent analysis of data streams about phone calls for bipolar disorder monitoring. FUZZ-IEEE 2021: 1-6 - [c14]Olgierd Hryniewicz
Possibilistic aggregation of inhomogeneous streams of data. FUZZ-IEEE 2021: 1-6 - 2020
- [j4]Anna Antosik-Wójcinska, Monika Dominiak
Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling. Int. J. Medical Informatics 138: 104131 (2020) - [c13]Gabriella Casalino
Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction. DS 2020: 79-93 - [c12]Gabriella Casalino
Incremental Semi-Supervised Fuzzy C-Means for Bipolar Disorder Episode Prediction. EAIS 2020: 1-8 - [c11]Olga Kaminska
Acoustic Feature Selection with Fuzzy Clustering, Self Organizing Maps and Psychiatric Assessments. IPMU (1) 2020: 342-355
2010 – 2019
- 2019
- [j3]Olgierd Hryniewicz
Control charts based on fuzzy costs for monitoring short autocorrelated time series. Int. J. Approx. Reason. 114: 166-181 (2019) - [j2]Katarzyna Kaczmarek-Majer
Application of linguistic summarization methods in time series forecasting. Inf. Sci. 478: 580-594 (2019) - [c10]Olga Kaminska
Self-organizing Maps Using Acoustic Features for Prediction of State Change in Bipolar Disorder. KR4HC/ProHealth/TEAAM@AIME 2019: 148-160 - [c9]Katarzyna Kaczmarek-Majer, Olgierd Hryniewicz
Personalized linguistic summaries in smartphone-based monitoring of bipolar disorder patients. EUSFLAT Conf. 2019 - 2018
- [c8]Marcin Bartkowiak
Model Averaging Approach to Forecasting the General Level of Mortality. IPMU (1) 2018: 453-464 - [c7]Olgierd Hryniewicz
Monitoring of Time Series Using Fuzzy Weighted Prediction Models. SMPS 2018: 107-114 - [c6]Katarzyna Kaczmarek-Majer, Olgierd Hryniewicz
Control Charts Designed Using Model Averaging Approach for Phase Change Detection in Bipolar Disorder. SMPS 2018: 115-123 - 2017
- [c5]Katarzyna Kaczmarek-Majer, Olgierd Hryniewicz
Data-Mining Approach to Finding Weights in the Model Averaging for Forecasting of Short Time Series. EUSFLAT/IWIFSGN (2) 2017: 314-327 - 2016
- [j1]Olgierd Hryniewicz
Bayesian analysis of time series using granular computing approach. Appl. Soft Comput. 47: 644-652 (2016) - [c4]Grazyna Grabowska, Katarzyna Kaczmarek, Jan OwsiDski, Izabella Zadrozna, Olgierd Hryniewicz:
A Survey of Telecare Systems in Poland. HEALTHINF 2016: 290-297 - [p1]Katarzyna Kaczmarek, Olgierd Hryniewicz
Forecasting of Short Time Series with Intelligent Computing. Challenging Problems and Solutions in Intelligent Systems 2016: 59-74 - 2015
- [c3]Katarzyna Kaczmarek, Olgierd Hryniewicz:
Time Series Classification with Linguistic Summaries. IFSA-EUSFLAT 2015 - 2014
- [c2]Olgierd Hryniewicz
Forecasting Short Time Series with the Bayesian Autoregression and the Soft Computing Prior Information. SMPS 2014: 79-86 - 2013
- [c1]Katarzyna Kaczmarek, Olgierd Hryniewicz:
Linguistic knowledge about temporal data in Bayesian linear regression model to support forecasting of time series. FedCSIS 2013: 651-654
Coauthor Index
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last updated on 2024-12-08 01:26 CET by the dblp team
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