Year 2023

  1. Domitrz W., Zubilewicz M., Local invariants of divergence-free webs, Analysis and Mathematical Physics, 13:4 (2023), str. 1 – 41
  2. Napoles G., Hoitsma F., Knoben A., Jastrzębska A., Espinosa M., Prolog-based agnostic explanation module for structured pattern classification, Information Sciences, 662 (2023), str. 1196 – 1227
  3. Karwowski J., Mańdziuk J., Żychowski A., Sequential Stackelberg Games with bounded rationality, Applied Soft Computing, 132 (2023), str. 109846-1 – 109846-18
  4. Lewy D., Mańdziuk J., Training CNN classifiers solely on webly data, Journal of Artificial Intelligence and Soft Computing Research, 13(1) (2023), str. 75 – 92

Year 2022

  1. Balicki J., Many-Objective Quantum-Inspired Particle Swarm Optimization Algorithm for Placement of Virtual Machines in Smart Computing Cloud, Entropy, 24(1) (2022), str. 58:1 – 58:23
  2. Smith T., Holm R., Keith R., Amraotkar A., Alvarado C., Banecki K., Choi B., Santisteban I., Bushau-Sprinkle A., Kitterman K., Fuqua J., Hamorsky K., Palmer K., Brick J., Rempała G., Bhatnagar A., Quantifying the relationship between sub-population wastewater samples and community-wide SARS-CoV-2 seroprevalence, SCIENCE OF THE TOTAL ENVIRONMENT, 853 (2022), str. 158567_1 – 158567_8
  3. Parteka Z., Zhu J., Lee B., Jodkowska K., Wang P., Aaron J., Banecki K., Plewczyński D., Ruan Y., Super-resolution visualization of chromatin loop folding in human lymphoblastoid cells using interferometric photoactivated localization microscopy, Scientific Reports, 12(1) (2022), str. 1 – 14
  4. Markiewicz A., Donizy P., Krzyziński M., Biecek P., Hoang M., Amelanotic Uveal Melanomas Evaluated by Indirect Ophthalmoscopy Reveal Better Long-Term Prognosis Than Pigmented Primary Tumours—A Single Centre Experience, Cancers, 14 (2022), str. 1 – 14
  5. Drozd Sokolowska J., Waszczuk-Gajda A., Witkowska M., Sienkiewicz E., Kopińska A., Kołkowska-Leśniak A., Biecek P., Basak G., Bing-Neel Syndrome, a Rare Presentation of Waldenström Macroglobulinemia—A Multicenter Report by the Polish Lymphoma Research Group, Journal of Clinical Medicine, 11(15) (2022), str. 1 – 12
  6. Lemańska-Perek A., Kobylińska K., Biecek P., Explainable Artificial Intelligence Helps in Understanding the Effect of Fibronectin on Survival of Sepsis, Cells, 11 (2022), str. 2433 – 2443
  7. Kobylińska K., Adamek M., Orłowski T., Biecek P., Explainable Machine Learning for Lung Cancer Screening Models, Applied Sciences-Basel, 12(4) (2022), str. 1 – 14
  8. Wiśniewski J., Biecek P., fairmodels: a Flexible Tool for Bias Detection, Visualization, and Mitigation in Binary Classification Models, R Journal, 14(1) (2022), str. 227 – 243
  9. Biecek P., Hryniewska W., LIMEcraft: handcrafted superpixel selection and inspection for Visual eXplanations, MACHINE LEARNING, -(-) (2022), str. 1 – 18
  10. Donizy P., Krzyziński M., Biecek P., Hoang M., Machine learning models demonstrate that clinicopathologic variables are comparable to gene expression prognostic signature in predicting survival in uveal melanoma, EUROPEAN JOURNAL OF CANCER, 174 (2022), str. 251 – 260
  11. Pfeifer B., Baniecki H., Saranto A., Biecek P., Holzinger A., Multi-omics disease module detection with an explainable Greedy Decision Forest, Scientific Reports, 12(1) (2022), str. 1 – 15
  12. Gierczyński R., Piątyszek P., Biecek P., Baniecki H., Quantitative analysis of RT-PCR test results for SARS-CoV-2 diagnostics across Poland during COVID-19 pandemic: Comparison between early stage and major pandemic waves in 2020 and 2021 with reference to SARS-CoV-2 variants, Advances in Medical Sciences, 67 (2022), str. 386 – 392
  13. Błaszczyk Ł., Snopek K., On the Octonion Cross Wigner Distribution of 3-D Signals, Applied Sciences-Basel, 12(11) (2022), str. 1 – 22
  14. Bobecka-Wesołowska K., Gotlib T., Kuźmińska M., Sphenomaxillary Plate: Landmine or Landmark?, ENT-EAR NOSE & THROAT JOURNAL, (0,0) (2022), str. 1 – 6
  15. Gągolewski M., Żogała-Siudem B., Siudem G., Cena A., Ockham′s index of citation impact, Scientometrics, 127 (2022), str. 2829 – 2845
  16. Cena A., Gągolewski M., Siudem G., Żogała-Siudem B., Validating citation models by proxy indices, Journal of Informetrics, 16(2) (2022), str. 101267_1 – 101267_11
  17. Belokopytova P., Viesná E., Chiliński M., Qi Y., Salari H., Di Stefano M., Esposito A., Conte M., Chiariello A., Teif V., Plewczyński D., Zhang B., Jost D., Fishman V., 3DGenBench: a web-server to benchmark computational models for 3D Genomics, Nucleic Acids Research, 50(W1) (2022), str. 4 – 12
  18. Chiliński M., Plewczyński D., ConsensuSV—from the whole-genome sequencing data to the complete variant list, BIOINFORMATICS, 38(24) (2022), str. 5440 – 5442
  19. Chiliński M., Góralewski P., Lehmann T., Nowacki A., Stypułkowska J., FGVC8 based foliar diseases identification with use of multi-label classifiers, International Journal of Computer Information Systems and Industrial Management Applications, 14(1) (2022), str. 92 – 99
  20. Chiliński M., Plewczyński D., Sengupta K., From DNA human sequence to the chromatin higher order organisation and its biological meaning: Using biomolecular interaction networks to understand the influence of structural variation on spatial genome organisation and its functional effect, SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY, 121 (2022), str. 171 – 185
  21. Denkiewicz M., Chiliński M., Szczepińska T., Mollah A., Korsak S., D′Souza R., Ruan Y., Plewczyński D., Sengupta K., Multi-scale phase separation by explosive percolation with single-chromatin loop resolution, Computational and Structural Biotechnology Journal, 20 (2022), str. 3591 – 3603
  22. Dębski M., Przybyło J., Conflict-free chromatic number vs conflict-free chromatic index, Journal of Graph Theory, 99(3) (2022), str. 349 – 358
  23. Dębski M., Piecyk M., Rzążewski P., Faster 3-Coloring of Small-Diameter Graphs, SIAM Journal on Discrete Mathematics, 36(3) (2022), str. 2205 – 2224
  24. Sokół J., Dębski M., Grytczuk J., Junosza-Szaniawski K., Nayar B., Pastwa U., Węsek K., Fractional meanings of nonrepetitiveness, Journal of Combinatorial Theory Series A, 189 (2022), str. 1 – 22
  25. Dębski M., Śleszyńska-Nowak M., Strong edge coloring of circle graphs, European Journal of Combinatorics, 102 (2022), str. 1 – 9
  26. Stepanov A., Dembińska A., Limit theorems for the uppermost mth spacing based on weak geometric records, STATISTICS & PROBABILITY LETTERS, 183 (2022), str. 1 – 9
  27. Domitrz W., Zwierzyński M., The geometry of the Wigner caustic and a decomposition of a curve into parallel arcs, Analysis and Mathematical Physics, 12 (2022), str. 1 – 35
  28. Gągolewski M., A framework for benchmarking clustering algorithms, SoftwareX, 20 (2022), str. 101270_1 – 101270_5
  29. Beliakov G., Gągolewski M., James S., Hierarchical data fusion processes involving the Möbius representation of capacities, Fuzzy Sets and Systems, 433 (2022), str. 1 – 21
  30. Beliakov G., Gągolewski M., James S., Reduction of variables and constraints in fitting antibuoyant fuzzy measures to data using linear programming, Fuzzy Sets and Systems, 451 (2022), str. 266 – 284
  31. Geras A., Siudem G., Gągolewski M., Time to vote: Temporal clustering of user activity on Stack Overflow, Journal of the Association for Information Science and Technology, 73 (2022), str. 1681 – 1691
  32. Badica A., Badica C., Fidanova S., Ganzha M., Lirkov I., Paprzycki M., Saad E., Generalized Zero-Shot Learning for Image Classification—Comparing Performance of Popular Approaches, Information, 13(12) (2022), str. 1 – 16
  33. Górka P., Słabuszewski A., Embeddings of the fractional Sobolev spaces on metric-measure spaces, Nonlinear Analysis-Theory, Methods & Applications, 221 (2022), str. 1 – 23
  34. Bosek B., Grytczuk J., Gutowski G., Serra O., Zając M., Graph polynomials and group coloring of graphs, European Journal of Combinatorics, 102 (2022), str. 1 – 11
  35. Grytczuk J., Jendrol’ S., Zając M., Graph polynomials and paintability of plane graphs, Discrete Applied Mathematics, (2022), str. 71 – 79
  36. Grzegorzewski P., Romaniuk M., Bootstrap methods for epistemic fuzzy data, International Journal of Applied Mathematics and Computer Science, 32(2) (2022), str. 285 – 297
  37. Murilo Gomes H., Grzenda M., Mello R., Read J., Huong Le Nguyen M., Bifet A., A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams, ACM COMPUTING SURVEYS, 55(4) (2022), str. 1 – 42
  38. Halder A., Bandyopadhyay S., Chatterjee P., Nasipuri M., Plewczyński D., Basu S., JUPPI A Multi-Level Feature Based Method for PPI Prediction and a Refined Strategy for Performance Assessment, IEEE-ACM Transactions on Computational Biology and Bioinformatics, 19(1) (2022), str. 531 – 542
  39. Sengupta K., Saha S., Halder A., Chatterjee P., Nasipuri M., Basu S., Plewczyński D., PFP-GO: Integrating protein sequence, domain and protein-protein interaction information for protein function prediction using ranked GO terms, Frontiers in Genetics, 13 (2022), str. 1 – 15
  40. Banik A., Podder S., Saha S., Chatterjee P., Halder A., Nasipuri M., Basu S., Plewczyński D., Rule-Based Pruning and In Silico Identification of Essential Proteins in Yeast PPIN, Cells, 11(17) (2022), str. 2648_1 – 2648_14
  41. Wang Y., Yu F., Homenda W., Pedrycz W., Jastrzębska A., Li F., The Trend-Fuzzy-Granulation-Based Adaptive Fuzzy Cognitive Map for Long-Term Time Series Forecasting, IEEE Transactions on Fuzzy Systems, 30(12) (2022), str. 5166 – 5180
  42. Jastrzębska A., Napoles G., Salgueiro Y., Vanhoof K., Evaluating time series similarity using concept-based models, KNOWLEDGE-BASED SYSTEMS, 238 (2022), str. 107811_1 – 107811_9
  43. Napoles G., Grau I., Jastrzębska A., Salgueiro Y., Long short-term cognitive networks, NEURAL COMPUTING & APPLICATIONS, 34 (2022), str. 16959 – 16971
  44. Jastrzębska A., Morales-Hernández A., Napoles G., Salgueiro Y., Vanhoof K., Measuring wind turbine health using fuzzy-concept-based drifting models, RENEWABLE ENERGY, 190 (2022), str. 730 – 740
  45. Bartak J., Jastrzębska A., Mining patterns of transitional growth using multivariate concept-based models, QUALITY & QUANTITY, 56 (2022), str. 4395 – 4419
  46. Morales-Hernández A., Napoles G., Jastrzębska A., Salgueiro Y., Vanhoof K., Online learning of windmill time series using Long Short-term Cognitive Networks, Expert Systems with Applications, 205 (2022), str. 1 – 9
  47. Jastrzębska A., Time Series Classification Through Visual Pattern Recognition, Journal of King Saud University-Computer and Information Sciences, 34(2) (2022), str. 134 – 142
  48. Tabassum N., Menon S., Jastrzębska A., Time-series classification with SAFE: Simple and fast segmented word embedding-based neural time series classifier, INFORMATION PROCESSING & MANAGEMENT, 59(5) (2022), str. 103044 – 103044
  49. Bier A., Jastrzębska A., Olszewski P., Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of Incident Detection, IEEE Access, 10 (2022), str. 95701 – 95715
  50. Junosza-Szaniawski K., Nogalski D., Rzążewski P., EXACT AND APPROXIMATION ALGORITHMS FOR SENSOR PLACEMENT AGAINST DDOS ATTACKS, International Journal of Applied Mathematics and Computer Science, 32 (2022), str. 35 – 49
  51. Barański K., Karpińska B., On the dimension of points which escape to infinity at given rate under exponential iteration, Ergodic Theory and Dynamical Systems, 42(5) (2022), str. 1591 – 1623
  52. Kołodziejek B., Szpojankowski K., A phase transition for tails of the free multiplicative convolution powers, Advances in Mathematics, 403 (2022), str. 108398-1 – 108398-50
  53. Graczyk P., Ishi H., Kołodziejek B., Massam H., Model selection in the space of Gaussian models invariant by symmetry, Annals of Statistics, 50 (3) (2022), str. 1747 – 1774
  54. Graczyk P., Kołodziejek B., Skalski T., Wilczyński M., Pattern recovery and signal denoising by SLOPE when the design matrix is orthogonal, Probability and Mathematical Statistics, 42(2) (2022), str. 283 – 302
  55. Burdzy K., Kołodziejek B., Tadić T., Stochastic fixed point equation and local dependence measure, Annals of Applied Probability, 32(4) (2022), str. 2811 – 2840
  56. Kosewski P., Kubica A., Global in time solution to Kolmogorov′s two-equation model of turbulence with small initial data, Results in Mathematics, 77 (2022), str. 1 – 31
  57. Kosewski P., Kubica A., Local in time solution to Kolmogorov’s two-equation model of turbulence, Monatshefte fur Mathematik, 198 (2022), str. 345 – 369
  58. Lonc Z., Petryshyn N., Edge decompositions and rooted packings of graphs, Discrete Mathematics, 345 (2022), str. 1 – 18
  59. Guerra-Manzanares A., Luckner M., Bahsi H., Android malware concept drift using system calls: Detection, characterization and challenges, Expert Systems with Applications, 206 (2022), str. 1 – 19
  60. Guerra-Manzanares A., Luckner M., Bahsi H., Concept drift and cross-device behavior: Challenges and implications for effective android malware detection, Computers & Security, 120 (2022), str. 1 – 20
  61. Luckner M., Krzemińska I., Wawrzyniak P., Legierski J., Estimating Population Density Without Contravening Citizen’s Privacy: Warsaw Use Case, IEEE Transactions on Systems Man Cybernetics-Systems, 52(7) (2022), str. 4494 – 4506
  62. Łazęcka M., Mielniczuk J., Squared-error based shrinkage estimators of discrete probabilities and their application to variable selection, Statistical Papers, (2022), str. 1 – 32
  63. Zaborski M., Woźniak M., Mańdziuk J., Multidimensional Red Fox meta-heuristic for complex optimization, Applied Soft Computing, 131 (2022), str. 109774_1 – 109774_18
  64. Okulewicz M., Zaborski M., Mańdziuk J., Self-Adapting Particle Swarm Optimization for continuous black box optimization, Applied Soft Computing, 131 (2022), str. 109722_1 – 109722_19
  65. Białas M., Mańdziuk J., Spike-timing-dependent plasticity with activation-dependent scaling for receptive fields development, IEEE Transactions on Neural Networks and Learning Systems, 33(10) (2022), str. 5215 – 5228
  66. Pośpiech E., Teisseyre P., Mielniczuk J., Branicki W., Predicting Physical Appearance from DNA Data—Towards Genomic Solutions, Genes, 13(1) (2022), str. 1 – 28
  67. Mielniczuk J., Wawrzeńczyk A., Revisiting Strategies for Fitting Logistic Regression for Positive and Unlabeled Data, International Journal of Applied Mathematics and Computer Science, 32(2) (2022), str. 299 – 309
  68. Opalach K., Porter-Sobieraj J., Zdroik P., Stacking optimization of 3D printed continuous fiber layer designs, ADVANCES IN ENGINEERING SOFTWARE, 164 (2022), str. 103077_1 – 103077_15
  69. Penza T., Romanowska A., Mal’tsev products of varieties, II, Algebra Universalis, 83 (2022), str. 1 – 18
  70. Piliszek A., Regression conditions that characterize free-Poisson and free-Kummer distributions, Random Matrices-Theory and Applications, 11(02) (2022), str. 2250019 – 2250037
  71. Jedlička P., Pilitowska A., Zamojska-Dzienio A., Cocyclic braces and indecomposable cocyclic solutions of the Yang-Baxter equation, Proceedings of the American Mathematical Society, 150(10) (2022), str. 4223 – 4239
  72. Das N., Baczyńska E., Bijata M., Ruszczycki B., Plewczyński D., Wlodarczyk J., Basu S., 3dSpAn An interactive software for 3D segmentation and analysis of dendritic spines, NEUROINFORMATICS, 20(3) (2022), str. 679 – 698
  73. Grabowska A., Sas-Nowosielska H., Bokota G., Plewczyński D., Wilczyński G., Magalska A., Activation-induced chromatin reorganization in neurons depends on HDAC1 activity, Cell Reports, 38(7) (2022), str. 110352_1 – 110352_25
  74. Basu S., Plewczyński D., Computational methods and strategies for combating COVID-19, METHODS, 206 (2022), str. 99 – 100
  75. Zaugg J., Sahlén P., Andersson R., Alberich-Jorda M., Plewczyński D., Rada-Iglesias A., Spicuglia S., Current challenges in understanding the role of enhancers in disease, NATURE STRUCTURAL & MOLECULAR BIOLOGY, 29(12) (2022), str. 1148 – 1158
  76. Lazniewski M., Dermawan D., Hidayat S., Muchtaridi M., Dawson W., Plewczyński D., Drug repurposing for identification of potential spike inhibitors for SARS-CoV-2 using molecular docking and molecular dynamics simulations, METHODS, 203 (2022), str. 498 – 510
  77. Saha I., Ghosh N., Plewczyński D., Editorial: SARS-CoV-2: From Genetic Variability to Vaccine Design, Frontiers in Genetics, 13 (2022), str. 960107_1 – 960107_3
  78. Ghosh N., Saha I., Plewczyński D., Genome-Wide Analysis to Identify Palindromes, Mirror and Inverted Repeats in SARS-CoV-2, MERS-CoV and SARS-CoV-1, IEEE Access, 10 (2022), str. 23708 – 23715
  79. Saha I., Ghosh N., Plewczyński D., Identification of Human miRNA Biomarkers Targeting the SARS-CoV-2 Genome, ACS Omega, 7(50) (2022), str. 46411 – 46420
  80. Tian S., Li G., Fullwood M., Plewczyński D., Zheng M., MCIBox: a toolkit for single-molecule multi-way chromatin interaction visualization and micro-domains identification, BRIEFINGS IN BIOINFORMATICS, 23(6) (2022), str. 380 – 380
  81. Saha S., Chatterjee P., Nasipuri M., Basu S., Plewczyński D., ML-DTD: Machine Learning-Based Drug Target Discovery for the Potential Treatment of COVID-19, Vaccines, 10(10) (2022), str. 1643 – 1643
  82. Czmil A., Wronski M., Czmil S., Sochacka-Pietal M., Wołkowicz T., Plewczyński D., Piętal M., NanoForms: an integrated server for processing, analysis and assembly of raw sequencing data of microbial genomes, from Oxford Nanopore technology, PeerJ, -(-) (2022), str. 13056 – 13056
  83. Sarkar J., Saha I., Ghosh N., Maity D., Plewczyński D., Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses, ACS Omega, 7(27) (2022), str. 23069 – 23074
  84. Klopotowska M., Bajor M., Plewczyński D., Zagozdzon R., Winiarska M., PRDX-1 Supports the Survival and Antitumor Activity of Primary and CAR-Modified NK Cells under Oxidative Stress, Cancer Immunology Research, 10(2) (2022), str. 228 – 244
  85. Li L., Wan Y., Plewczyński D., Zhi M., Simulation Model on Network Public Opinion Communication Model of Major Public Health Emergency and Management System Design, Scientific Programming, 2022 (2022), str. 1 – 16
  86. Wang X., Hu W., Li X., Plewczyński D., Wu W., Single-Hit Inactivation Drove Tumor Suppressor Genes Out of the X Chromosome during Evolution, CANCER RESEARCH, 82(8) (2022), str. 1482 – 1491
  87. Zelenka T., Klonizakis A., Tsoukatou D., Plewczyński D., Spilianakis C., The 3D enhancer network of the developing T cell genome is shaped by SATB1, Nature Communications, 13(1) (2022), str. 6954_1 – 6954_22
  88. Saha I., Ghosh N., Plewczyński D., Unveiling the Biomarkers of Cancer and COVID-19 and Their Regulations in Different Organs by Integrating RNA-Seq Expression and Protein–Protein Interactions, ACS Omega, 7(48) (2022), str. 43589 – 43602
  89. Przelaskowski A., Automatic Shuttlecock Fall Detection System in or out of a Court in Badminton Games—Challenges, Problems, and Solutions from a Practical Point of View, SENSORS, 22(8098) (2022), str. 1 – 27
  90. Pytlak R., Suski D., Trajectory sensitivity analysis of hybrid_systems with sliding motion, Nonlinear Analysis-Hybrid Systems, 45 (2022), str. 1 – 19
  91. Nie T., Rutkowski M., Reflected and doubly reflected BSDEs driven by RCLL martingales, Stochastics and Dynamics, 22(5) (2022), str. 1 – 26
  92. Roscani S., Ryszewska K., Venturato L., A one-phase space-fractional Stefan problem with no liquid initial domain, SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 54(5) (2022), str. 5489 – 5523
  93. Dobbins M., Kleist L., Miltzow T., Rzążewski P., Completeness for the Complexity Class ∀∃R and Area-Universality, Discrete & Computational Geometry, 2022 (2022), str. 1 – 35
  94. Masarik T., Pilipczuk M., Rzążewski P., Sorge M., Constant Congestion Brambles in Directed Graphs, SIAM Journal on Discrete Mathematics, 36(2) (2022), str. 922 – 938
  95. Bonamy M., Bousquet N., Pilipczuk M., Rzążewski P., Thomasse S., Walczak B., Degeneracy of Pt-free and C⩾t-free graphs with no large complete bipartite subgraphs, JOURNAL OF COMBINATORIAL THEORY SERIES B, 152 (2022), str. 353 – 378
  96. Paesani G., Paulusma D., Rzążewski P., Feedback Vertex Set and Even Cycle Transversal for H-Free Graphs: Finding Large Block Graphs, SIAM Journal on Discrete Mathematics, 36(4) (2022), str. 2453 – 2472
  97. Masarik T., Muzi I., Pilipczuk M., Rzążewski P., Sorge M., Packing Directed Cycles Quarter- and Half-Integrally, COMBINATORICA, 42 (2022), str. 1409 – 1438
  98. Dvorak P., Feldmann A., Rai A., Rzążewski P., Parameterized Inapproximability of Independent Set in H-Free Graphs, ALGORITHMICA, 2022 (2022), str. 1 – 27
  99. Stańczak-Mrozek K., Sobczak A., Lipiński L., Sienkiewicz E., Makarewicz D., Pinkas J., Sierpiński R., The Potential Benefits of the Influenza Vaccination on COVID-19 Mortality Rate—A Retrospective Analysis of Patients in Poland, Vaccines, 10(5) (2022), str. 1 – 10
  100. Gispert J., Haniková Z., Moraschini T., Stronkowski M., Structural completeness in many-valued logics with rational constants, Notre Dame Journal of Formal Logic, 63(3) (2022), str. 261 – 299
  101. Graczyk J., Świątek G., Accessibility and porosity of harmonic measure at bifurcation locus, JOURNAL OF THE LONDON MATHEMATICAL SOCIETY-SECOND SERIES, 106 (2022), str. 2730 – 2751
  102. Świeca M., The Matsumoto-Yor property in free probability via subordination and Boolean cumulants, ALEA-Latin American Journal of Probability and Mathematical Statistics, 19(2) (2022), str. 1377 – 1399
  103. Kaliszewska A., Syga M., A comprehensive study of clustering a class of 2D shapes, International Journal of Applied Mathematics and Computer Science, 32(1) (2022), str. 95 – 109
  104. Bednarczuk E., Syga M., On duality for nonconvex minimization problems within the framework of abstract convexity, Optimization, 71(4) (2022), str. 949 – 971
  105. Mingo J., Popa M., Szpojankowski K., On the Partial Transpose of a Haar Unitary Matrix, Studia Mathematica, 266(3) (2022), str. 337 – 360
  106. Gouet R., Hitczenko P., Wesołowski J., Asymptotics of the overflow in urn models, Journal of Applied Probability, 59(3) (2022), str. 797 – 824
  107. Bryc W., Wesołowski J., Zięba A., Flows in near algebras with applications to harnesses, Colloquium Mathematicum, 170(2) (2022), str. 211 – 238
  108. Wesołowski J., Wieczorkowski R., Wójciak W., Optimality of the recursive Neyman allocation, Journal of Survey Statistics and Methodology, 10(5) (2022), str. 1263 – 1275
  109. Sysko-Romańczuk S., Zaborek P., Wróblewska A., Dąbrowski J., Tkachuk S., Data modalities, consumer attributes and recommendation performance in the fashion industry., Electronic Markets, 32 (2022), str. 1279 – 1292
  110. Ławrynowicz A., Wróblewska A., Adrian W., Kulczyński B., Gramza-Michałowska A., Food Recipe Ingredient Substitution Ontology Design Pattern, SENSORS, 22(3) (2022), str. 1 – 14
  111. Kim N., Lee Y., Ziembowski M., Annihilating properties of ideals generated by coefficients of polynomials and power series, International Journal of Algebra and Computation, 32(2) (2022), str. 237 – 249
  112. Zwierzyński M., The singular evolutoids set and the extended evolutoids front, Aequationes Mathematicae, 96 (2022), str. 849 – 866

Year 2021

  1. Słodkowski M., Setniewski D., Aszklar P., Porter-Sobieraj J., Modeling the Dynamics of Heavy-Ion Collisions with a Hydrodynamic Model Using a Graphics Processor, Symmetry-Basel, 13(3) (2021), str. 507-1 – 507-15
  2. Bajor G., van Wyk L., Ziembowski M., Construction of a class of maximal commutative subalgebras of prime Leavitt path algebras, FORUM MATHEMATICUM, 33(6) (2021), str. 1573 – 1590
  3. Gągolewski M., Bartoszuk M., Cena A., Are Cluster Validity Measures (In)valid?, Information Sciences, 581 (2021), str. 620 – 636
  4. Bartoszuk M., Gągolewski M., T-norms or t-conorms? How to aggregate similarity degrees for plagiarism detection, KNOWLEDGE-BASED SYSTEMS, 231 (2021), str. 107427 – 107427
  5. Bednarczuk E., Rutkowski K., On Lipschitz Continuity of Projections onto Polyhedral Moving Sets, Applied Mathematics and Optimization, 84 (2021), str. 2147 – 2175
  6. Bednarczuk E., Leśniewski K., Rutkowski K., On tangent cone to systems of inequalities and equations in Banach spaces under relaxed constant rank condition, ESAIM: Control, Optimisation and Calculus of Variations, 27 (2021), str. 1 – 22
  7. Baniecki H., Kretowicz W., Wiśniewski J., Piątyszek P., Biecek P., dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python, Journal of Machine Learning Research, 22(214) (2021), str. 1 – 7
  8. Moran J., Biecek P., Cheng-Li W., Donizy P., Kopczynski J., Pieniazek M., Hoang M., Large Nuclear Size Correlated with Better Overall Survival, Merkel Cell Polyomavirus Positivity and TdT Expression in Merkel Cell Carcinoma, JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 84(2) (2021), str. 550 – 552
  9. Donizy P., Wróblewska J., Woznica K., Biecek P., Hoang M., Merkel Cell Carcinoma of Unknown Primary: Immunohistochemical and Molecular Analyses Reveal Distinct UV-Signature/MCPyV-Negative and High Immunogenicity/MCPyV-Positive Profiles, Cancers, 13(7) (2021), str. 1 – 14
  10. Gosiewska A., Kozak A., Biecek P., Simpler is Better: Lifting Interpretability-Performance Trade-off via Automated Feature Engineering, DECISION SUPPORT SYSTEMS, 150 (2021), str. 1 – 10
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