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What's new?
Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models
Michał Kuk, Szymon Bobek and Grzegorz J. Nalepa recently presented a paper about explainable AI on the prestigious International Conference on Computational Science 2022 (ICCS 2022). Below you can find a link to the paper.
12.07.2022
Read More o Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models
Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations
New publication authored by the members of JAHCAI - Szymon Bobek and Grzegorz J. Nalepa, along with Jakub Jakubowski and Przemysław Stanisz.
08.04.2022
Read More o Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations

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Our Publications

List below presents works authored and co-authored by members of JAHCAI, related to scope of the program

  1. Bizoń-Angov, P., Osiński, D., Wierzchoń, M. & Konieczny, J. (2021). Visual Echolocation Concept for the Colorophone Sensory Substitution Device Using Virtual Reality. Sensors, 21 (1), 237, DOI: https://doi.org/10.3390/s21010237.
  2. Bobek S., Nalepa G.J. (2021). Augmenting Automatic Clustering with Expert Knowledge and Explanations. In: Paszynski M., Kranzlmüller D., Krzhizhanovskaya V.V., Dongarra J.J., Sloot P.M. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science, vol 12745. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-77970-2_48.
  3. Bobek S., Bałaga P., Nalepa G.J. (2021). Towards Model-Agnostic Ensemble Explanations. In: Paszynski M., Kranzlmüller D., Krzhizhanovskaya V.V., Dongarra J.J., Sloot P.M. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12745. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-77970-2_4.
  4. Bobek S., Mozolewski M., Nalepa G.J. (2021). Explanation-Driven Model Stacking. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science, vol 12747. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-77980-1_28.
  5. Bobek S., Nalepa G.J. (2021). Introducing Uncertainty into Explainable AI Methods. In: Paszynski M., Kranzlmüller D., Krzhizhanovskaya V.V., Dongarra J.J., Sloot P.M.A. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science, vol 12747. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-77980-1_34.
  6. Jakubowski J., Stanisz P., Bobek S., Nalepa G.J. Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations. Sensors. 2022; 22(1):291. DOI: https://doi.org/10.3390/s22010291.
  7. Kutt K., Drążyk D., Bobek S., Nalepa G.J. Personality-Based Affective Adaptation Methods for Intelligent Systems. Sensors. 2021; 21(1):163. DOI: https://doi.org/10.3390/s21010163.
  8. Kutt K., Nowara P., Szczur R., Barnowska G., and Nalepa G.J., Smart Data for Goods and Vehicle Monitoring – Practical Considerations on Data Semantization. in 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), Nov. 2021, pp. 1216–1220. DOI: https://doi.org/10.1109/ICTAI52525.2021.00192.
  9.  Kutt K., Żuchowska L., Bobek S., and Nalepa G.J., People in the Context – an Analysis of Game-based Experimental Protocol. in Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021, 2021, pp. 46–50. https://ceur-ws.org/Vol-2995/paper6.pdf.
  10. Kutt K., Skoczeń S., and Nalepa G.J., A Voice-Based Travel Recommendation System Using Linked Open Data in Computational Science. ICCS 2021, Part III, 2021, pp. 370–377, DOI: https://doi.org/10.1007/978-3-030-77967-2_31.
  11. Nalepa G.J., Bobek S., Kutt K., Atzmueller M. Semantic Data Mining in Ubiquitous Sensing: A Survey. Sensors. 2021; 21(13):4322. DOI: https://doi.org/10.3390/s21134322.
  12. Osiński, D., Łukowska, M., Bizoń-Angov, P., Hjelme, D.R. & Wierzchoń, M. (2021). Colorophone 2.0: A wearable color sonification device generating live stereo-soundscapes – design, implementation and usability audit.  Sensors, 2021,21,7351,  DOI:  https://doi.org/10.3390/s21217351.
  13.  Żuchowska L., Kutt K., and Nalepa G.J., Bartle Taxonomy-based Game for Affective and Personality Computing Research. in Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021, 2021, pp. 51–55. http://ceur-ws.org/Vol-2995/paper7.pdf.