Year 2024

  1. Bajor G., Cichocka A., van Wyk L., Ziembowski M., Maximal commutative subalgebras of Leavitt path algebras, Communications in Contemporary Mathematics, 2 (2024), str. 1 – 28
  2. Fonseca A., Spytek M., Biecek P., Cordeiro C., Henriques dos Santos de Sepulveda N., Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data, BioData Mining, 17 (2024), str. 1 – 23
  3. Dębski M., Grytczuk J., Pawlik B., Extensions and reductions of square-free words, Discrete Mathematics, 347(3) (2024), str. 1 – 7
  4. Dembińska A., Jasiński K., Likelihood inference for geometric lifetimes of components of k-out-of-n systems, Journal of Computational and Applied Mathematics, 435 (2024), str. 1 – 18
  5. Domitrz W., Hernández-Martínez L., Sánchez-Bringas F., On Singularities of the Gauss Map Components of Surfaces in R^4, JOURNAL OF GEOMETRIC ANALYSIS, 34(168) (2024), str. 1 – 36
  6. Anholcer M., Bosek B., Grytczuk J., Majority choosability of countable graphs, European Journal of Combinatorics, 117 (2024), str. 1 – 8
  7. Fonseca A., szysz m., Cordeiro C., Thien Li H., Henriques dos Santos de Sepulveda N., IgG Antibody Responses to Epstein-Barr Virus in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Their Effective Potential for Disease Diagnosis and Pathological Antigenic Mimicry, Medicina-Lithuania, 60(1) (2024), str. 1 – 19
  8. Grau I., Napoles G., Bello M., Salgueiro Y., Jastrzębska A., Forward Composition Propagation for Explainable Neural Reasoning, IEEE Computational Intelligence Magazine, 19(1) (2024), str. 26 – 35
  9. Kaźmierczak S., Kasztelanic R., Buczyński R., Mańdziuk J., Predicting optical parameters of nanostructured optical fibers using machine learning algorithms, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 132 (2024), str. 1 – 8
  10. Kubica A., Ryszewska K., Zacher R., Hölder continuity of weak solutions to evolution equations with distributed order fractional time derivative, Mathematische Annalen, 2024 (2024), str. 1 – 80
  11. Jedlička P., Pilitowska A., Skew left braces and 2-reductive solutions of the Yang-Baxter equation, Journal of Pure and Applied Algebra, 228(4) (2024), str. 1 – 25
  12. Abrishami T., Chudnovsky M., Dibek C., Hajebi S., Rzążewski P., Spirkl S., Vuskovic K., Induced subgraphs and tree decompositions II. Toward walls and their line graphs in graphs of bounded degree, JOURNAL OF COMBINATORIAL THEORY SERIES B, 164 (2024), str. 371 – 403
  13. Arias J., Maśko Ł., Olarte C., Penczek W., Petrucci L., Sidoruk T., Optimal Scheduling of Agents in ADTrees: Specialised Algorithm and Declarative Models, IEEE TRANSACTIONS ON RELIABILITY, (2024), str. 1 – 15

Year 2023

  1. Bednarczuk E., Leśniewski K., Rutkowski K., Constraint Qualification with Schauder Basis for Infinite Programming Problems, Applied Mathematics and Optimization, 88(2) (2023), str. 1 – 34
  2. Michalska-Falkowska A., Niklinski J., Biecek P., Applied Molecular-Based Quality Control of Biobanked Samples for Multi-Omics Approach, Cancers, 15(14) (2023), str. 1 – 16
  3. Tyszko M., Lemańska-Perek A., Śmiechowicz J., Tomaszewska P., Biecek P., Gozdzik W., Adamik B., Citrulline, Intestinal Fatty Acid-Binding Protein and the Acute Gastrointestinal Injury Score as Predictors of Gastrointestinal Failure in Patients with Sepsis and Septic Shock, Nutrients, 15(9) (2023), str. 1 – 14
  4. Woźnica K., Grzyb M., Trafas Z., Biecek P., Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks, MACHINE LEARNING, 2023 (2023), str. 1 – 25
  5. Knott A., Dino Pedreschi D., Biecek P., Generative AI models should include detection mechanisms as a condition for public release, Ethics and Information Technology, 25 (2023), str. 1 – 7
  6. Donizy P., Spytek M., Krzyzinski M., Biecek P., Hoang M., Ki67 is a better marker than PRAME in risk stratification of BAP1-positive and BAP1-loss uveal melanomas, BRITISH JOURNAL OF OPHTHALMOLOGY, 1 (2023), str. 1 – 10
  7. Dobrzycka M., Sulewska A., Charkiewicz R., Biecek P., Niklinski J., Konopinska J., miRNA Studies in Glaucoma: A Comprehensive Review of Current Knowledge and Future Perspectives, INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 24 (2023), str. 1 – 25
  8. Charkiewicz R., Sulewska A., Biecek P., Niklinski J., miRNA-Seq Tissue Diagnostic Signature: A Novel Model for NSCLC Subtyping, INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 24 (2023), str. 1 – 16
  9. Sherratt K., Gruson H., Biecek P., Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations, eLife, 4 (2023), str. 1 – 19
  10. Spytek M., Krzyzinski M., Langbein S., Baniecki H., Wright M., Biecek P., survex: an R package for explaining machine learning survival model, BIOINFORMATICS, 39(12) (2023), str. 1 – 4
  11. Krzyziński M., Spytek M., Baniecki H., Biecek P., SurvSHAP(t): Time-dependent explanations of machine learning survival models, KNOWLEDGE-BASED SYSTEMS, 262 (2023), str. 1 – 13
  12. Baniecki H., Parzych D., Biecek P., The grammar of interactive explanatory model analysis, Data Mining and Knowledge Discovery, 1(1) (2023), str. 1 – 37
  13. Bies P., Cieślak T., Global-in-time regular unique solutions with positive temperature to the 1d thermoelasticity, SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 55(6) (2023), str. 7024 – 7038
  14. Bilski J., Jastrzębska A., CALIMERA: A new early time series classification method, INFORMATION PROCESSING & MANAGEMENT, 60(5) (2023), str. 1 – 15
  15. Sowiński P., Rachwał K., Danilenka A., Bogacka K., Kobus M., Dąbrowska A., Paszkiewicz A., Bolanowski M., Ganzha M., Paprzycki M., Frugal Heart Rate Correction Method for Scalable Health and Safety Monitoring in Construction Sites, SENSORS, 23(14) (2023), str. 1 – 19
  16. Danilenka A., Sowiński P., Rachwał K., Bogacka K., Dąbrowska A., Kobus M., Baszczyński K., Okrasa M., Olczak W., Dymarski P., Lacalle I., Ganzha M., Paprzycki M., Real-Time AI-Driven Fall Detection Method for Occupational Health and Safety, Electronics, 12(20) (2023), str. 1 – 26
  17. Gągolewski M., Cena A., James S., Beliakov G., Hierarchical clustering with OWA-based linkages, the Lance–Williams formula, and dendrogram inversions, Fuzzy Sets and Systems, 473 (2023), str. 1 – 12
  18. Żogała-Siudem B., Cena A., Siudem G., Gągolewski M., Interpretable reparameterisations of citation models, Journal of Informetrics, 17(1) (2023), str. 1 – 11
  19. Chiliński M., Lipinski J., Agarwal A., Ruan Y., Plewczyński D., Enhanced performance of gene expression predictive models with protein-mediated spatial chromatin interactions, Scientific Reports, 13(11693) (2023), str. 1 – 10
  20. Vanickova K., Milosevic M., Bas I., Burocziova M., Yokota A., Danek P., Grusanovic S., Chiliński M., Plewczyński D., Rohlena J., Hirai H., Rohlenova K., Alberich-Jorda M., Hematopoietic stem cells undergo a lymphoid to myeloid switch in early stages of emergency granulopoiesis, EMBO JOURNAL, 42 (23) (2023), str. 1 – 18
  21. Chiliński M., Halder A., Plewczyński D., Prediction of chromatin looping using deep hybrid learning (DHL), Quantitative Biology, 11(2) (2023), str. 155 – 162
  22. Chybowska-Sokół J., Junosza-Szaniawski K., Węsek K., Coloring distance graphs on the plane, Discrete Mathematics, 346(7) (2023), str. 113441 – 113456
  23. Dębski M., Edge Colorings Avoiding Patterns, European Journal of Combinatorics, 117 (2023), str. 1 – 9
  24. Dębski M., Grytczuk J., Naroski P., Śleszyńska-Nowak M., Strongly Proper Connected Coloring of Graphs, Annals of Combinatorics, -(-) (2023), str. 1 – 21
  25. Domitrz W., Zubilewicz M., Local invariants of divergence-free webs, Analysis and Mathematical Physics, 13:4 (2023), str. 1 – 41
  26. Dybowski M., Górka P., The axiom of choice inmetricmeasure spaces and maximal delta-separated sets, ARCHIVE FOR MATHEMATICAL LOGIC, 62 (2023), str. 735 – 749
  27. Dymek M., Górka P., Compactness in the spaces of variable integrability and summability, Mathematische Nachrichten, 296(9) (2023), str. 4317 – 4334
  28. Gaczkowski M., Mederski J., Schino J., Multiple solutions to cylindrically symmetric CURL-CURL problems and related Schrodinger equations with singular potentials., SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 55 (5) (2023), str. 4425 – 4444
  29. Boczek M., Gągolewski M., Kaluszka M., Okolewski A., A benchmark-type generalization of the Sugeno integral with applications in bibliometrics, Fuzzy Sets and Systems, 466 (2023), str. 1 – 18
  30. Sawicki J., Ganzha M., Paprzycki M., Watanobe Y., Reddit CrosspostNet—Studying Reddit Communities with Large-Scale Crosspost Graph Networks, Algorithms, 16(9) (2023), str. 424 – 445
  31. Geras A., Darvish Shafighi S., Domżał K., Filipiuk I., Rączkowski Ł., Szymczak P., Toosi H., Koperski Ł., Lagergren J., Nowis D., Szczurek E., Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data, GENOME BIOLOGY, 24(1) (2023), str. 1 – 36
  32. Górka P., Słabuszewski A., Embedding of fractional Sobolev spaces is equivalent to regularity of the measure, Studia Mathematica, 268(3) (2023), str. 333 – 343
  33. Dudek A., Grytczuk J., Ruciński A., Long twins in random words, Annals of Combinatorics, 27 (2023), str. 1 – 20
  34. Grytczuk J., Pawlik B., Plewczyński M., More variations on shuffle squares, Symmetry-Basel, 15 (2023), str. 1 – 11
  35. Alon N., Grytczuk J., Kisielewicz A., Przesławski K., New bounds on the maximum number of neighborly boxes in R^d, European Journal of Combinatorics, 114 (2023), str. 1 – 15
  36. Anholcer M., Bosek B., Grytczuk J., Gutowski G., Przybyło J., Pyzik R., Zając M., On a problem of Steinhaus, Bulletin of the London Mathematical Society, 55(6) (2023), str. 2635 – 2652
  37. Romaniuk M., Grzegorzewski P., Resampling Fuzzy Numbers with Statistical Applications: FuzzyResampling Package, R Journal, 15(1) (2023), str. 271 – 283
  38. Grzenda M., Kaźmierczak S., Luckner M., Borowik G., Mańdziuk J., Evaluation of machine learning methods for impostor detection in web applications, Expert Systems with Applications, 231 (2023), str. 1 – 15
  39. Basu S., Chakroborty T., Halder A., Halsana A., DensePPI: A Novel Image-Based Deep Learning Method for Prediction of Protein–Protein Interactions, IEEE TRANSACTIONS ON NANOBIOSCIENCE, 22(4) (2023), str. 904 – 911
  40. Basu S., Chakraborti T., Halder A., Sriwastava B., RUBic: rapid unsupervised biclustering, BMC Bioinformatics, 24 (2023), str. 1 – 16
  41. Biecek P., Henriques dos Santos de Sepulveda N., Association analysis between symptomology and herpesvirus IgG antibody concentrations in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and multiple sclerosis, Heliyon, 9(7) (2023), str. 1 – 16
  42. Malato J., Graça L., Henriques dos Santos de Sepulveda N., Impact of Misdiagnosis in Case-Control Studies of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, Diagnostics, 13(3) (2023), str. 1 – 16
  43. Grabowska A., Wątroba M., Witkowska J., Mikulska A., Henriques dos Santos de Sepulveda N., Szukiewicz D., Interplay between Systemic Glycemia and Neuroprotective Activity of Resveratrol in Modulating Astrocyte SIRT1 Response to Neuroinflammation, INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 24(14) (2023), str. 1 – 25
  44. Grabowska A., Westermeier F., Nacul L., Lacerda E., Henriques dos Santos de Sepulveda N., The importance of estimating prevalence of ME/CFS in future epidemiological studies of long COVID, Frontiers in Public Health, 11 (2023), str. 1 – 7
  45. Steiner S., Fehrer A., Hoheise F., Schoening S., Anna A., Babel N., Henriques dos Santos de Sepulveda N., Understanding, diagnosing, and treating Myalgic encephalomyelitis/chronic fatigue syndrome – State of the art: Report of the 2nd international meeting at the Charité Fatigue Center, AUTOIMMUNITY REVIEWS, 22(11) (2023), str. 1 – 8
  46. Jastrzębska A., Napoles G., Homenda W., Vanhoof K., Fuzzy Cognitive Map-Driven Comprehensive Time-Series Classification, IEEE Transactions on Cybernetics, 53(2) (2023), str. 1348 – 1359
  47. Wang Y., Yu F., Homenda W., Jastrzębska A., Pedrycz W., Wang X., Training Novel Adaptive Fuzzy Cognitive Map by Knowledge-Guidance Learning Mechanism for Large-Scale Time-Series Forecasting, IEEE Transactions on Cybernetics, 53(7) (2023), str. 4665 – 4676
  48. Jaksztas L., On the directional derivative of the Hausdorff dimension of quadratic polynomial Julia sets at -2, Advances in Mathematics, 433 (2023), str. 109297-1 – 109297-46
  49. Bartak J., Jastrzębska A., Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models, IEEE Access, 11 (2023), str. 11664 – 11674
  50. Napoles G., Grau I., Jastrzębska A., Salgueiro Y., Presumably correct decision sets, PATTERN RECOGNITION, 141 (2023), str. 1 – 10
  51. 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
  52. Własnowolski M., Grabowski P., Roszczyk D., Kaczmarski K., Plewczyński D., cudaMMC – GPU-enhanced Multiscale Monte Carlo Chromatin 3D Modelling, BIOINFORMATICS, 39(10) (2023), str. 1 – 4
  53. Kadlof M., Plewczyński D., Sengupta K., Własnowolski M., 3D-GNOME 3.0: a three-dimensional genome modelling engine for analysing changes of promoter-enhancer contacts in the human genome, Nucleic Acids Research, 1(1) (2023), str. 5 – 11
  54. Karwowski J., Mańdziuk J., Żychowski A., Sequential Stackelberg Games with bounded rationality, Applied Soft Computing, 132 (2023), str. 109846-1 – 109846-18
  55. Kołodziejczyk D., POLYHEDRA FOR WHICH EVERY HOMOTOPY DOMINATION OVER ITSELF IS A HOMOTOPY EQUIVALENCE., Topology and Its Applications, 339, 108572 (2023), str. 1 – 10
  56. Łazęcka M., Kołodziejek B., Mielniczuk J., Analysis of Conditional Randomisation and Permutation schemes with application to conditional independence testing, Test, 32 (2023), str. 1459 – 1478
  57. Agarwal A., Korsak S., Choudhury A., Plewczyński D., The dynamic role of cohesin in maintaining human genome architecture, BIOESSAYS, 45(10) (2023), str. 1 – 15
  58. Kotus J., Montes de Oca Balderas M., Lyapunov exponents for non-ergodic meromorphic functions, Proceedings of the American Mathematical Society, 151 (2023), str. 1609 – 1620
  59. Delong Ł., Kozak A., The use of autoencoders for training neural networks with mixed categorical and numerical features, Astin Bulletin, 53(2) (2023), str. 1 – 20
  60. Lewy D., Mańdziuk J., An overview of mixing augmentation methods and augmentation strategies, ARTIFICIAL INTELLIGENCE REVIEW, 56 (2023), str. 2111 – 2169
  61. 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
  62. Guerra-Manzanares A., Bahsi H., Luckner M., Leveraging the first line of defense: a study on the evolution and usage of android security permissions for enhanced android malware detection, Journal of Computer Virology and Hacking Techniques, 19(1) (2023), str. 65 – 96
  63. Łazęcka M., Mielniczuk J., Squared-error based shrinkage estimators of discrete probabilities and their application to variable selection, Statistical Papers, 64 (2023), str. 41 – 72
  64. Małkiński M., Mańdziuk J., A review of emerging research directions in Abstract Visual Reasoning, Information Fusion, 91 (2023), str. 713 – 736
  65. Żychowski A., Mańdziuk J., Coevolution of Players Strategies in Security Games, Journal of Computational Science, 68 (2023), str. 101980-1 – 101980-12
  66. Żelaszczyk M., Mańdziuk J., Cross-modal text and visual generation: A systematic review. Part 1: Image to text, Information Fusion, 93 (2023), str. 302 – 329
  67. Mańdziuk J., Żychowski A., Duel-based neuroevolutionary method for Stackelberg Security Games with boundedly rational Attacker, Applied Soft Computing, 146 (2023), str. 110673-1 – 110673-13
  68. Świechowski M., Godlewski k., Sawicki B., Mańdziuk J., Monte Carlo Tree Search: a review of recent modifcations and applications, ARTIFICIAL INTELLIGENCE REVIEW, 56 (2023), str. 2497 – 2562
  69. Mycka J., Żychowski A., Mańdziuk J., Toward human-level tonal and modal melody harmonizations, Journal of Computational Science, 67 (2023), str. 101963-1 – 101963-13
  70. Matczak K., Mućka A., Romanowska A., FINITELY GENERATED DYADIC CONVEX SETS, International Journal of Algebra and Computation, 33(03) (2023), str. 585 – 615
  71. Myronov O., Mazzocco G., Król P., Plewczyński D., BERTrand – peptide:TCR binding prediction using Bidirectional Encoder Representations from Transformers augmented with random TCR pairing, BIOINFORMATICS, 39(8) (2023), str. 1 – 8
  72. Bielecki T., Jakubowski J., Niewęgłowski M., Multivariate Hawkes processes with simultaneous occurrence of excitation events coming from different sources, Stochastic Models, 39(3) (2023), str. 537 – 565
  73. Bellitto T., Li S., Okrasa K., Pilipczuk M., Sorge M., The Complexity of Routing Problems in Forbidden-Transition Graphs and Edge-Colored Graphs, ALGORITHMICA, 85(5) (2023), str. 1202 – 1250
  74. Knees D., Owczarek S., Neff P., A local regularity result for the relaxed micromorphic model based on inner variations, Journal of Mathematical Analysis and Applications, 519(2) (2023), str. 1 – 13
  75. Owczarek S., Wielgos K., On a thermo-visco-elastic model with non-linear damping forces and $L^{1}$ temperature data, Mathematical Methods in the Applied Sciences, 46(9) (2023), str. 9966 – 9999
  76. Cen J., Pączka D., Yao J., Zeng S., Asymptotic analysis of double phase mixed boundary value problems with multivalued convection term, JOURNAL OF GEOMETRIC ANALYSIS, 33 (2023), str. 1 – 28
  77. Pawłowski M., Wróblewska A., Sysko-Romańczuk S., Effective Techniques for Multimodal Data Fusion: A Comparative Analysis, SENSORS, 23(5) (2023), str. 1 – 16
  78. Jedlička P., Pilitowska A., Indecomposable involutive solutions of the Yang-Baxter equation of multipermutation level 2 with non-abelian permutation group, Journal of Combinatorial Theory Series A, 197 (2023), str. 1 – 35
  79. Montez M., Majchrowska M., Krzyszton M., Bokota G., Plewczyński D., Świerzewski S., Promoter-pervasive transcription causes RNA polymerase II pausing to boost DOG1 expression in response to salt, EMBO JOURNAL, 42(5) (2023), str. e112443-1 – e112443-21
  80. Aksamit A., Li L., Rutkowski M., Generalized BSDE and reflected BSDE with random time horizon, Electronic Journal of Probability, 28 (2023), str. 1 – 41
  81. Oleszkiewicz W., Basaj D., Sieradzki I., Górszczak M., Rychalska B., Lewandowska K., Trzciński T., Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations, IEEE Access, 11 (2023), str. 13028 – 13043
  82. Dabrowski K., Masarik T., Novotna J., Paulusma D., Rzążewski P., Clique-width: Harnessing the power of atoms, Journal of Graph Theory, 104(4) (2023), str. 769 – 810
  83. Dobbins M., Kleist L., Miltzow T., Rzążewski P., Completeness for the Complexity Class ∀∃R and Area-Universality, Discrete & Computational Geometry, 70 (2023), str. 154 – 188
  84. Chudnovsky M., Huang S., Rzążewski P., Spirkl S., Zhong M., Complexity of Ck-coloring in hereditary classes of graphs, INFORMATION AND COMPUTATION, 292 (2023), str. 1 – 19
  85. Morrison N., Nir J., Norin S., Rzążewski P., Wesolek A., Every graph is eventually Turán-good, JOURNAL OF COMBINATORIAL THEORY SERIES B, 162 (2023), str. 231 – 243
  86. Vaño R., Lacalle I., Sowiński P., S-Julián R., Palau C., Cloud-Native Workload Orchestration at the Edge: A Deployment Review and Future Directions, SENSORS, 23(4) (2023), str. 1 – 27
  87. Graczyk J., Świątek G., Analytic structures and harmonic measure at bifurcation locus, Advances in Mathematics, 421 (2023), str. 1 – 38
  88. Siudem G., Świątek G., Coefficients of the Riemann map for the Mandelbrot Set Complement, Discrete and Continuous Dynamical Systems, 43(12) (2023), str. 4393 – 4402
  89. Mingo J., Popa M., Szpojankowski K., Asymptotic ∗–distribution of permuted Haar unitary matrices, INDIANA UNIVERSITY MATHEMATICS JOURNAL, 72(3) (2023), str. 927 – 967
  90. Klonecki T., Lee J., Teisseyre P., Cost-constrained feature selection in multilabel classification using an information-theoretic approach, PATTERN RECOGNITION, 141 (2023), str. 1 – 18
  91. Lee T., Teisseyre P., Lee J., Effective Exploitation of Macroeconomic Indicators for Stock Direction Classification Using the Multimodal Fusion Transformer, IEEE Access, 11(1) (2023), str. 10275 – 10287
  92. Klonecki T., Teisseyre P., Feature selection under budget constraint in medical applications: analysis of penalized empirical risk minimization method, APPLIED INTELLIGENCE, 53 (2023), str. 29943 – 29973
  93. Bryc W., Wang Y., Wesołowski J., From the asymmetric simple exclusion processes to the stationary measures of the KPZ fixed point on an interval., ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES, 59(4) (2023), str. 2257 – 2284
  94. Bryc W., Wang Y., Wesołowski J., From the asymmetric simple exclusion processes to the stationary measures of the KPZ fixed point on an interval., ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES, 59(4) (2023), str. 2257 – 2284
  95. Jasiulis-Goldyn B., Misiewicz J., Omey E., Wesołowski J., How exceptional is the extremal Kendall and Kendall-type convolution, Results in Mathematics, 78(224) (2023), str. 1 – 37
  96. Bryc W., Kuznetsov A., Wang Y., Wesołowski J., Markov processes related to the stationary measure for the open KPZ equation., Probability Theory and Related Fields, 185 (2023), str. 353 – 389
  97. Rempała G., Wesołowski J., Poisson limit theorems for the Cressie–Read statistics, Journal of Statistical Planning and Inference, 223 (2023), str. 15 – 32
  98. Wesołowski J., Rotation schemes and Chebyshev polynomials, Statistics in Transition-New Series, 24(3) (2023), str. 47 – 59
  99. Wójciak W., Another solution for some optimum allocation problem, Statistics in Transition-New Series, 24(5) (2023), str. 203 – 219
  100. Cackowski M., Gryszko G., Zbytniewski M., Dziedzic M., Woźnica K., Orłowski T., Dziedzic D., The absence of lymph nodes removed (pNx status) impacts survival in patients with lung cancer treated surgically, SURGICAL ONCOLOGY-OXFORD, 48 (2023), str. 101941-1 – 101941-8
  101. Dziedzic D., Dziedzic M., Orłowski T., Zbytniewski M., Gryszko G., Cackowski M., Woźnica K., The effectiveness of surgical treatment of lung cancer in Polish academic and nonacademic centers, Translational Lung Cancer Research, 12(8) (2023), str. 1717 – 1727
  102. Ziembicki D., Seweryn K., Wróblewska A., Polish natural language inference and factivity: An expert-based dataset and benchmarks, Natural Language Engineering, 1(1) (2023), str. 1 – 32

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(15) (2022), str. 2433 – 2443
  7. Kobylińska K., Orłowski T., Adamek M., 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
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  89. 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, 10 (2022), str. 1 – 13
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  92. 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
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  106. 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
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Last updated on 2024-04-18 18:08:46