Raporty Badawcze IBS 2018

Raporty Badawcze za rok 2018

1. P. Juszczuk, I. Kaliszewski, J. Miroforidis, D. Podkopaev: A condition of asset redundancy in the mean-variance model of portfolio investment.
2. D. Gątarek, J. Jabłecki: Towards a general local volatility model for all asset classes.
3. L. Klukowski: Dług publiczny Polski - cele w średnim i długim horyzoncie.
4. L. Klukowski: Statistical tests for verification of estimate of the preference relation resulting from pairwise comparisons.
5. L. Klukowski: Testing of estimates of the preference relation based on pairwise comparisons in the form of difference of ranks.
6. J. Jarnicka, Z. Nahorski: Bivariate analysis of errors in national inventory reporting.
7. Z. Nahorski, P. Holnicki: Konsekwencje i wyzwania modelowe związane z emisją zanieczyszczeń do atmosfery.
8. A.I. Geras, G. Siudem, M. Gagolewski: Should we introduce a dislike button for academic papers?
9. B. Żogała-Siudem, S. Jaroszewicz: Lasso regularization path on large collections of data using multidimensional indexing.
10. P. Helbin, M. Baczyński, P. Grzegorzewski, W. Niemyska: Some properties of fuzzy implications based on copulas.
11. H. Ren, W. Zhou, M. Makowski, S. Zhang, Y. Yu, T. Ma: A multiple-criteria decision support model for adopting energy efficient technologies in iron and steel production.
12. M. Makowski, H. Ren, S.C. Parkinson: Structured modeling infrastructure for multiple-criteria decision aid: technology and application to energy-water-climate nexus.
13. J. Malinowski: A fast universal algorithm for finding minimal cut-sets in graph-modeled networks with arbitrary structure.
14. J. Jarnicka, P. Żebrowski: Learning in GHG emission inventories in terms of uncertainty improvement over time.
15. P. Juszczuk, L. Kruś: Crisp vs fuzzy decision support systems for the Forex market.
16. P. Juszczuk, L. Kruś: Supporting decisions on the Forex market using fuzzy approach.
17. Y. Evtushenko, K. Szkatuła, A. Tretyakov: A locally-polynomial method to determine the existence of a solution to a linear inequalities systems.
18. K. Szkatuła: When Two-Constraint 0-1 Knapsack Problem turns out to be the Classical Knapsack Problem?
19. N. Charkovska, M. Halushchak, R. Bun, Z. Nahorski, T. Oda, M. Jonas, P. Topylko: A high-definition spatially explicit modeling approach for national greenhouse gas emissions from industrial processes: Reducing the errors and uncertainties in global emission modeling.
20. J.W. Owsiński, J. Stańczak, S. Zadrożny: Designing the municipality typology for planning purposes: the use of reverse clustering and evolutionary algorithms.
21. J. Stańczak, J.W. Owsiński, S. Zadrożny: Wstępne wyniki analizy zbioru danych o gminach w Polsce metodami k-means, DBSCAN i hierarchiczno-aglomeracyjną.
22. J. Gadomski, L. Kruś: The GHG limiting policies and foreign investment. A multicriteria analysis.
23. E. Szmidt, J. Kacprzyk, P. Bujnowski: Attribute selection via Hellwig?s algorithm for Atanassov?s intuitionistic fuzzy sets.
24. B. Mażbic-Kulma, J.W. Owsiński, J. Stańczak, A. Barski, K. Sęp: Experimental detecting the proper hubs number in the hub&spoke method.
25. W. Radziszewska: Bazodanowe rozwiązania wspomagające analizę danych przestrzennych.
26. M. Krawczak, G. Szkatuła: On matching of intuitionistic fuzzy sets.
27. T. Jaworska: CNN as a tool for image segment classification.
28. L. Coroianu, M. Gagolewski: Penalty-based data aggregation in real normed vector spaces.
29. M. Charytanowicz, P. Kulczycki, S. Łukasik, P.A. Kowalski: Image enhancement with applications in biomedical processing.
30. P.A. Kowalski, S. Łukasik, M. Charytanowicz, P. Kulczycki: Optimizing clustering with Cuttle fish Algorithm.
31. S. Łukasik, K. Lalik, P. Sarna, P.A. Kowalski, M. Charytanowicz, P. Kulczycki: Efficient astronomical data condensation using fast nearest neighbors search.
32. A. Kumar, R. Manikandan, A.H. Gandomi, R. Patan, S. Łukasik, K.S. Ravichandran: A deep neural network based classifier for brain tumor diagnosis.
33. P. Kopciewicz, S. Łukasik: Exploiting flower constancy in Flower Pollination Algorithm: Improved Biotic Flower Pollination Algorithm and its experimental evaluation.
34. S. Łukasik, K. Lalik, P. Sarna, P.A. Kowalski, M. Charytanowicz, P. Kulczycki: Efficient astronomical data condensation using approximate nearest neighbors.
35. P.A. Kowalski, K. Wadas: Triggering probabilistic neural networks with Flower Pollination Algorithm.
36. I. Kaliszewski: Rankings revisited.
37. I. Kaliszewski: What ?large-scale? nowadays means when it comes to computing? The case of multidimensional knapsack problems.
38. I. Kaliszewski, J. Miroforidis: Lower and upper bounds for the general multiobjective optimization problem.
39. E.M. Bednarczuk, K.W. Leśniewski: On Gâteaux differentiability of strongly cone paraconvex vector-valued mappings.
40. E.M. Bednarczuk, K.E. Rutkowski: On Lipschitz continuity of projections onto polyhedral moving sets.
41. E. Bednarczuk, A. Prusińska, A. Tret'yakov: Singular optimization and p-regularity theory. Examples and developments.
42. E.M. Bednarczuk, K.E. Rutkowski: On Lipschitz-like property for polyhedral moving sets.
43. T. Rybotycki: Metaheuristics in physical processes optimization.
44. P. Kulczycki, D. Kruszewski: Detection of rare elements in investigation of medical problems.
45. J. Berniak-Woźny, P. Jagiełło, M. Szelągowski: A process-centred approach to the description of clinical pathways ? determinants and challenges. A pilot study.
46. A. Cena, M. Gagolewski, S. James: Theoretical properties of the OWA-based linkage in a hierarchical clustering setting.
47. A. Służalec, J. Studziński, A. Ziółkowski: System ICT modelowania i optymalizacji sieci wodociągowej z użyciem algorytmów sztucznej inteligencji.
48. A. Służalec, J. Studziński, A. Ziółkowski: Opis programu MOSKAN-W modelowania i optymalizacji regionalnej sieci wodociągowej GPW S.A. w Katowicach.
49. T. Rymarczyk, K. Szulc: Mathematical analysis of topological derivative for electrical impedance tomography.
50. T. Rymarczyk, K. Szulc: Solving inverse problem for electrical impedance tomography using topological derivative and level set method.
51. I. Lasiecka, K. Szulc, A. Żochowski: Reducing drag of the obstacle in the channel by boundary control: Theory and numerics.