Publications

  1. Avram A, Matei O, Pintea C, Pop P. Context Quality Impact in Context-Aware Data Mining for Predicting Soil Moisture, Cybernetics and Systems, 2020, 51:7, 668-684, DOI: https://doi.org/10.1080/01969722.2020.1798642
  2. Avram A, Matei O, Pintea C, Anton C. Innovative Platform for Designing Hybrid Collaborative & Context-Aware Data Mining Scenarios. Mathematics. 2020; 8(5):684, DOI: https://doi.org/10.3390/math8050684 
  3. Sattari MT, Avram A, Apaydin H, Matei O. Soil Temperature Estimation with Meteorological Parameters by Using Tree-Based Hybrid Data Mining Models. Mathematics. 2020; 8(9):1407, DOI: https://doi.org/10.3390/math8091407
  4. A. Kiersztyn, P. Karczmarek, W. Pedrycz, E. Al, The concept of a supply chain management system using intermodal transport: A case study, in: Computational Intelligence, Information Technology and Systems Research, Lublin University of Technology Press, Lublin 2020, 71-80
  5. P. Karczmarek, A. Kiersztyn, W. Pedrycz, n-ary isolation forest: An experimental comparative analysis, in: L. Rutkowski, R. Scherer, M. Korytkowski, W. Pedrycz, R. Tadeusiewicz, J. M. Zurada (eds.), Artificial Intelligence and Soft Computing. ICAISC 2020. Lecture Notes in Computer Science 12416, 2020, 188-198 doi: 10.1007/978-3-030-61534-5_17
  6. P. Karczmarek, A. Kiersztyn, W. Pedrycz, Fuzzy set-based isolation forest, in: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020, 1-6 doi: 10.1109/FUZZ48607.2020.9177718
  7. P. Karczmarek, W. Pedrycz, D. Czerwinski, A. Kiersztyn, The assessment of importance of selected issues of software engineering, IT project management, and programming paradigms based on graphical AHP and fuzzy c-means, in: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020, 1-7 doi: 10.1109/FUZZ48607.2020.9177591
  8. M. Badurowicz, J. Montusiewicz, P. Karczmarek, Detection of road artefacts using fuzzy adaptive thresholding, in: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020, 1-8 doi: 10.1109/FUZZ48607.2020.9177822
  9. A. Kiersztyn, P. Karczmarek, R. Lopucki, W. Pedrycz, E. Al, I. Kitowski, A. Zbyryt, Data imputation in related time series using fuzzy set-based techniques, in: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020, 1-8 doi: 10.1109/FUZZ48607.2020.9177617
  10. A. Kiersztyn, P. Karczmarek, K. Kiersztyn, W. Pedrycz, The concept of detecting and classifying anomalies in large data sets on a basis of information granules, in: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020, 1-7 doi: 10.1109/FUZZ48607.2020.9177668
  11. D. Czerwinski, A. Kiersztyn, R. Lopucki, P. Karczmarek, I. Kitowski, A. Zbyryt, An application of fuzzy c-means, fuzzy cognitive maps, and fuzzy rules to forecasting first arrival date of avian spring migrants, in: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020, 1-6 doi: 10.1109/FUZZ48607.2020.9177763
  12. P. Karczmarek, A. Kiersztyn, W. Pedrycz, E. Al, K-means-based isolation forest, Knowledge-Based Systems, 195, 105659  doi: 10.1016/j.knosys.2020.105659

This project has received funding from CHIST-ERA,  a pathfinder programme for European coordinated research on future and emerging information and communication technologies.
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