Katarzyna Kaczmarek-Majer

Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

Expert-in-the-loop Stepwise Regression and its Application in Air Pollution Modeling.

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[DOI]

Milosz Fraszczyk

Krzysztof Skotak

Anna Degórska

Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring.

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[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Experimental evaluation of the accuracy of an ensemble of fuzzy methods for classification of episodes in bipolar disorder.

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[DOI]

Adam Kiersztyn

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Impact of clustering unlabeled data on classification: case study in bipolar disorder.

[BibT_eX]

[DOI]

Olga Kaminska

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Contrast enhanced magneto-motive ultrasound in lymph nodes - modelling and pre-clinical imaging using magnetic microbubbles.

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[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Possibilistic aggregation of inhomogeneous streams of data.

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[DOI]

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Intelligent analysis of data streams about phone calls for bipolar disorder monitoring.

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[DOI]

Gabriella Casalino

Giovanna Castellano

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling.

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[DOI]

Anna Antosik-Wójcinska

Magdalena Chojnacka

Weronika Radziszewska

Anna Olwert

Lukasz Swiecicki

Int. J. Medical Informatics, 2020

Acoustic Feature Selection with Fuzzy Clustering, Self Organizing Maps and Psychiatric Assessments.

[BibT_eX]

[DOI]

Olga Kaminska

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Incremental Semi-Supervised Fuzzy C-Means for Bipolar Disorder Episode Prediction.

[BibT_eX]

[DOI]

Gabriella Casalino

Francesco Galetta

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction.

[BibT_eX]

[DOI]

Gabriella Casalino

Giovanna Castellano

Francesco Galetta

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

Application of linguistic summarization methods in time series forecasting.

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[DOI]

Inf. Sci., 2019

Control charts based on fuzzy costs for monitoring short autocorrelated time series.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Personalized linguistic summaries in smartphone-based monitoring of bipolar disorder patients.

[BibT_eX]

[DOI]

Lukasz Swiecicki

Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

Self-organizing Maps Using Acoustic Features for Prediction of State Change in Bipolar Disorder.

[BibT_eX]

[DOI]

Olga Kaminska

Wit Jakuczun

Anna Antosik-Wójcinska

Lukasz Swiecicki

Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019

2018

Control Charts Designed Using Model Averaging Approach for Phase Change Detection in Bipolar Disorder.

[BibT_eX]

[DOI]

Weronika Radziszewska

Anna Olwert

Jan W. Owsinski

Slawomir Zadrozny

Proceedings of the Uncertainty Modelling in Data Science, 2018

Monitoring of Time Series Using Fuzzy Weighted Prediction Models.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty Modelling in Data Science, 2018

Model Averaging Approach to Forecasting the General Level of Mortality.

[BibT_eX]

[DOI]

Marcin Bartkowiak

Aleksandra Rutkowska

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

2017

Data-Mining Approach to Finding Weights in the Model Averaging for Forecasting of Short Time Series.

[BibT_eX]

[DOI]

Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

2016

Forecasting of Short Time Series with Intelligent Computing.

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[DOI]

Proceedings of the Challenging Problems and Solutions in Intelligent Systems, 2016

Bayesian analysis of time series using granular computing approach.

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[DOI]

Appl. Soft Comput., 2016

A Survey of Telecare Systems in Poland.

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[DOI]

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015

Time Series Classification with Linguistic Summaries.

[BibT_eX]

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014

Forecasting Short Time Series with the Bayesian Autoregression and the Soft Computing Prior Information.

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[DOI]

Proceedings of the Strengthening Links Between Data Analysis and Soft Computing, 2014

2013

Linguistic knowledge about temporal data in Bayesian linear regression model to support forecasting of time series.

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[DOI]