Katarzyna Kaczmarek-Majer

Orcid: 0000-0002-3193-0070

According to our database1, Katarzyna Kaczmarek-Majer authored at least 37 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Combined Defuzzification Under Shared Constraint.
IEEE Trans. Fuzzy Syst., May, 2024

Explainable Impact of Partial Supervision in Semi-Supervised Fuzzy Clustering.
IEEE Trans. Fuzzy Syst., May, 2024

Prototype-Based Explanations to Improve Understanding of Unsupervised Datasets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Explaining Predictions of Hypertension Disease through Anchors.
Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

A Human-centric Approach to Explain Evolving Data: A Case Study on Education.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023
Semi-supervised vs. supervised learning for mental health monitoring: A case study on bipolar disorder.
Int. J. Appl. Math. Comput. Sci., 2023

Classification Error in Semi-Supervised Fuzzy C-Means.
Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023

2022
Road Roughness Estimation Through Smartphone-Measured Acceleration.
IEEE Intell. Transp. Syst. Mag., 2022

PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries.
Inf. Sci., 2022

Explaining smartphone-based acoustic data in bipolar disorder: Semi-supervised fuzzy clustering and relative linguistic summaries.
Inf. Sci., 2022

Evolving Membership Functions in Fuzzy Linguistic Summarization.
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), 2022

Fuzzy Linguistic Summaries for Explaining Online Semi-Supervised Learning.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

Expert-in-the-loop Stepwise Regression and its Application in Air Pollution Modeling.
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.
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.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Impact of clustering unlabeled data on classification: case study in bipolar disorder.
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.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Possibilistic aggregation of inhomogeneous streams of data.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Intelligent analysis of data streams about phone calls for bipolar disorder monitoring.
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.
Int. J. Medical Informatics, 2020

Acoustic Feature Selection with Fuzzy Clustering, Self Organizing Maps and Psychiatric Assessments.
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.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
Application of linguistic summarization methods in time series forecasting.
Inf. Sci., 2019

Control charts based on fuzzy costs for monitoring short autocorrelated time series.
Int. J. Approx. Reason., 2019

Personalized linguistic summaries in smartphone-based monitoring of bipolar disorder patients.
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.
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.
Proceedings of the Uncertainty Modelling in Data Science, 2018

Monitoring of Time Series Using Fuzzy Weighted Prediction Models.
Proceedings of the Uncertainty Modelling in Data Science, 2018

Model Averaging Approach to Forecasting the General Level of Mortality.
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.
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.
Proceedings of the Challenging Problems and Solutions in Intelligent Systems, 2016

Bayesian analysis of time series using granular computing approach.
Appl. Soft Comput., 2016

A Survey of Telecare Systems in Poland.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
Time Series Classification with Linguistic Summaries.
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.
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.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013


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