pub:projects:pacmel:final
Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
pub:projects:pacmel:final [2022/06/26 14:51] – [Dependencies] gjn | pub:projects:pacmel:final [2022/06/26 15:33] (current) – [Papers] doi gjn | ||
---|---|---|---|
Line 24: | Line 24: | ||
==== Consortium ==== | ==== Consortium ==== | ||
- | PACMEL was planned as a 2 year project. The project consortium included 3 partners: | + | PACMEL was planned as a 2 year project, extended to 3 years. The project consortium included 3 partners: |
- AGH, Poland (AGH University of Science and Technology), | - AGH, Poland (AGH University of Science and Technology), | ||
- UNIBZ, Italy (Free University of Bozen-Bolzano), | - UNIBZ, Italy (Free University of Bozen-Bolzano), | ||
Line 119: | Line 119: | ||
===== Papers ===== | ===== Papers ===== | ||
- | * [1] V. Rodriguez-Fernandez, | + | * [1] V. Rodriguez-Fernandez, |
- | * [2] D. Calvanese, S. Ghilardi, A. Gianola, M. Montali, and A. Rivkin. SMT-based Verification of Data-Aware Processes: A Model-Theoretic Approach. Mathematical Structures in Computer Science. 2020. 30(3): 271-313 (2020) | + | * [2] D. Calvanese, S. Ghilardi, A. Gianola, M. Montali, and A. Rivkin. SMT-based Verification of Data-Aware Processes: A Model-Theoretic Approach. Mathematical Structures in Computer Science. 2020. 30(3): 271-313 (2020) |
- | * [3] M. Szpyrka, E. Brzychczy, A. Napieraj, J. Korski, G. J. Nalepa, Conformance Checking of a Longwall Shearer Operation Based on Low-Level Events, Energies 2020, 13, 6630. | + | * [3] M. Szpyrka, E. Brzychczy, A. Napieraj, J. Korski, G. J. Nalepa, Conformance Checking of a Longwall Shearer Operation Based on Low-Level Events, Energies 2020, 13, 6630. https:// |
- | * [4] M. Szelążek, S. Bobek, A. Gonzalez-Pardo, | + | * [4] M. Szelążek, S. Bobek, A. Gonzalez-Pardo, |
- | * [5] S. Bobek, A. Trzcinkowska, | + | * [5] S. Bobek, A. Trzcinkowska, |
- | * [6] S. Bobek and G. J. Nalepa. Augmenting automatic clustering with expert knowledge and explanations. In Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, | + | * [6] S. Bobek and G. J. Nalepa. Augmenting automatic clustering with expert knowledge and explanations. In Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, |
- | * [7] S. Bobek, M. Mozolewski, and G. J. Nalepa. Explanation-driven model stacking. In M. Paszynski, D. Kranzlmüller, | + | * [7] S. Bobek, M. Mozolewski, and G. J. Nalepa. Explanation-driven model stacking. In M. Paszynski, D. Kranzlmüller, |
- | * [8] F. Piccialli, F. Giampaolo, E. Prezioso, D. Camacho, and G. Acampora, “Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion,” Information Fusion, vol. 74, pp. 1–16, Oct. 2021 | + | * [8] F. Piccialli, F. Giampaolo, E. Prezioso, D. Camacho, and G. Acampora, “Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion,” Information Fusion, vol. 74, pp. 1–16, Oct. 2021 https:// |
- | * [9] H. Liz, M. Sánchez-Montañés, | + | * [9] H. Liz, M. Sánchez-Montañés, |
- | * [10] J. Huertas-Tato, | + | * [10] J. Huertas-Tato, |
- | * [11] A. I. Torre-Bastida, | + | * [11] A. I. Torre-Bastida, |
- | * [12] S. Bobek, S. K. Tadeja, Struski, P. Stachura, T. Kipouros, J. Tabor, G. J. Nalepa, and P. O. Kristensson. “Virtual reality-based parallel coordinates plots enhanced with explainable AI and data-science analytics for decision-making processes.” Applied Sciences, 12(1), 2022 | + | * [12] S. Bobek, S. K. Tadeja, Struski, P. Stachura, T. Kipouros, J. Tabor, G. J. Nalepa, and P. O. Kristensson. “Virtual reality-based parallel coordinates plots enhanced with explainable AI and data-science analytics for decision-making processes.” Applied Sciences, 12(1), 2022 https:// |
- | * [13] G. J. Nalepa, S. Bobek, K. Kutt, and M. Atzmueller. “Semantic data mining in ubiquitous sensing: A survey.” Sensors, 21(13), 2021. | + | * [13] G. J. Nalepa, S. Bobek, K. Kutt, and M. Atzmueller. “Semantic data mining in ubiquitous sensing: A survey.” Sensors, 21(13), 2021. https:// |
- | * [14] M. Kuk, S. Bobek and G. J. Nalepa, " | + | * [14] M. Kuk, S. Bobek and G. J. Nalepa, " |
- | * [15] S. Bobek, M. Kuk, J. Brzegowski, E. Brzychczy, and G. J. Nalepa. “KnAC: an approach for enhancing cluster analysis with background knowledge and explanations.” CoRR, abs/ | + | * [15] S. Bobek, M. Kuk, J. Brzegowski, E. Brzychczy, and G. J. Nalepa. “KnAC: an approach for enhancing cluster analysis with background knowledge and explanations.” CoRR, abs/ |
* [16] S. Bobek, M. Kuk, G. J. Nalepa, " | * [16] S. Bobek, M. Kuk, G. J. Nalepa, " | ||
* [17] S. Bobek, M. Kuk, J. Brzegowski, E. Brzychczy, and G. J. Nalepa. “KnAC: an approach for enhancing cluster analysis with background knowledge and explanations.” Applied Intelligence (submitted, under second round review) | * [17] S. Bobek, M. Kuk, J. Brzegowski, E. Brzychczy, and G. J. Nalepa. “KnAC: an approach for enhancing cluster analysis with background knowledge and explanations.” Applied Intelligence (submitted, under second round review) |
pub/projects/pacmel/final.1656255116.txt.gz · Last modified: 2022/06/26 14:51 by gjn