Year 2023

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. Baniecki H., Parzych D., Biecek P., The grammar of interactive explanatory model analysis, Data Mining and Knowledge Discovery, 1(1) (2023), str. 1 – 37
  11. 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
  12. Bilski J., Jastrzębska A., CALIMERA: A new early time series classification method, INFORMATION PROCESSING & MANAGEMENT, 60(5) (2023), str. 1 – 15
  13. 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
  14. 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
  15. 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. 108740 – 108740
  16. 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
  17. 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 (21) (2023), str. 1 – 18
  18. Chiliński M., Halder A., Plewczyński D., Prediction of chromatin looping using deep hybrid learning (DHL), Quantitative Biology, 11(2) (2023), str. 155 – 162
  19. Domitrz W., Zubilewicz M., Local invariants of divergence-free webs, Analysis and Mathematical Physics, 13:4 (2023), str. 1 – 41
  20. Dybowski M., Górka P., The axiom of choice inmetricmeasure spaces and maximal delta-separated sets, ARCHIVE FOR MATHEMATICAL LOGIC, 62 (2023), str. 735 – 749
  21. Dymek M., Górka P., Compactness in the spaces of variable integrability and summability, Mathematische Nachrichten, 296(9) (2023), str. 4317 – 4334
  22. 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
  23. 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. 108479 – 108479
  24. 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
  25. 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
  26. Górka P., Słabuszewski A., Embedding of fractional Sobolev spaces is equivalent to regularity of the measure, Studia Mathematica, 268(3) (2023), str. 333 – 343
  27. Dudek A., Grytczuk J., Ruciński A., Long twins in random words, Annals of Combinatorics, (2023), str. 1 – 20
  28. Romaniuk M., Grzegorzewski P., Resampling Fuzzy Numbers with Statistical Applications: FuzzyResampling Package, R Journal, 15(1) (2023), str. 271 – 283
  29. 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
  30. Basu S., Chakraborti T., Halder A., Sriwastava B., RUBic: rapid unsupervised biclustering, BMC Bioinformatics, 24 (2023), str. 1 – 16
  31. 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
  32. 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
  33. 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
  34. Bartak J., Jastrzębska A., Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models, IEEE Access, 11 (2023), str. 11664 – 11674
  35. Napoles G., Grau I., Jastrzębska A., Salgueiro Y., Presumably correct decision sets, PATTERN RECOGNITION, 141 (2023), str. 1 – 10
  36. 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
  37. Junosza-Szaniawski K., Sokół J., Węsek K., Coloring distance graphs on the plane, Discrete Mathematics, 346(7) (2023), str. 113441 – 113456
  38. 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
  39. 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
  40. Karwowski J., Mańdziuk J., Żychowski A., Sequential Stackelberg Games with bounded rationality, Applied Soft Computing, 132 (2023), str. 109846-1 – 109846-18
  41. Kołodziejczyk D., POLYHEDRA FOR WHICH EVERY HOMOTOPY DOMINATION OVER ITSELF IS A HOMOTOPY EQUIVALENCE., Topology and Its Applications, 339, 108572 (2023), str. 1 – 10
  42. Łazęcka M., Kołodziejek B., Mielniczuk J., Analysis of Conditional Randomisation and Permutation schemes with application to conditional independence testing, Test, (2023), str. 1 – 20
  43. Agarwal A., Korsak S., Choudhury A., Plewczyński D., The dynamic role of cohesin in maintaining human genome architecture, BIOESSAYS, 45(10) (2023), str. e2200240 – e2200240
  44. 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
  45. 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
  46. Lewy D., Mańdziuk J., An overview of mixing augmentation methods and augmentation strategies, ARTIFICIAL INTELLIGENCE REVIEW, 56 (2023), str. 2111 – 2169
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. Pawłowski M., Wróblewska A., Sysko-Romańczuk S., Effective Techniques for Multimodal Data Fusion: A Comparative Analysis, SENSORS, 23(5) (2023), str. 1 – 16
  55. 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
  56. 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 – e112443
  57. Aksamit A., Li L., Rutkowski M., Generalized BSDE and reflected BSDE with random time horizon, Electronic Journal of Probability, 28 (2023), str. 1 – 41
  58. 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, (2023), str. – – –
  59. Dabrowski K., Masarik T., Novotna J., Paulusma D., Rzążewski P., Clique-width: Harnessing the power of atoms, Journal of Graph Theory, 104 (2023), str. 769 – 810
  60. 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
  61. 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
  62. 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
  63. Graczyk J., Świątek G., Analytic structures and harmonic measure at bifurcation locus, Advances in Mathematics, 421 (2023), str. 1 – 38
  64. 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
  65. Mingo J., Popa M., Szpojankowski K., Asymptotic ∗–distribution of permuted Haar unitary matrices, INDIANA UNIVERSITY MATHEMATICS JOURNAL, 72(3) (2023), str. 927 – 967
  66. 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
  67. 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
  68. Klonecki T., Teisseyre P., Feature selection under budget constraint in medical applications: analysis of penalized empirical risk minimization method, APPLIED INTELLIGENCE, 1(1) (2023), str. 1 – 31
  69. 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
  70. 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
  71. Rempała G., Wesołowski J., Poisson limit theorems for the Cressie–Read statistics, Journal of Statistical Planning and Inference, 223 (2023), str. 15 – 32
  72. Wesołowski J., Rotation schemes and Chebyshev polynomials, Statistics in Transition-New Series, 24(3) (2023), str. 47 – 59
  73. 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
  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(2) (2022), str. 386 – 392
  13. Bücker M., Szepannek G., Gosiewska A., Biecek P., Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring, JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 73 (2022), str. 70 – 90
  14. Błaszczyk Ł., Snopek K., On the Octonion Cross Wigner Distribution of 3-D Signals, Applied Sciences-Basel, 12(11) (2022), str. 1 – 22
  15. Gotlib T., Kuźmińska M., Bobecka-Wesołowska K., Sphenomaxillary Plate: Landmine or Landmark?, ENT-EAR NOSE & THROAT JOURNAL, (0,0) (2022), str. 1 – 6
  16. Gągolewski M., Żogała-Siudem B., Siudem G., Cena A., Ockham′s index of citation impact, Scientometrics, 127 (2022), str. 2829 – 2845
  17. 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
  18. 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
  19. Chiliński M., Plewczyński D., ConsensuSV—from the whole-genome sequencing data to the complete variant list, BIOINFORMATICS, 38(24) (2022), str. 5440 – 5442
  20. 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
  21. 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
  22. 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
  23. Dębski M., Przybyło J., Conflict-free chromatic number vs conflict-free chromatic index, Journal of Graph Theory, 99(3) (2022), str. 349 – 358
  24. Dębski M., Piecyk M., Rzążewski P., Faster 3-Coloring of Small-Diameter Graphs, SIAM Journal on Discrete Mathematics, 36(3) (2022), str. 2205 – 2224
  25. 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
  26. Dębski M., Śleszyńska-Nowak M., Strong edge coloring of circle graphs, European Journal of Combinatorics, 102 (2022), str. 1 – 9
  27. Stepanov A., Dembińska A., Limit theorems for the uppermost mth spacing based on weak geometric records, STATISTICS & PROBABILITY LETTERS, 183 (2022), str. 1 – 9
  28. 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
  29. Gągolewski M., A framework for benchmarking clustering algorithms, SoftwareX, 20 (2022), str. 101270_1 – 101270_5
  30. 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
  31. 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
  32. 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
  33. Badica C., Badica A., 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
  34. Górka P., Słabuszewski A., Embeddings of the fractional Sobolev spaces on metric-measure spaces, Nonlinear Analysis-Theory, Methods & Applications, 221 (2022), str. 1 – 23
  35. 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
  36. Grytczuk J., Jendrol’ S., Zając M., Graph polynomials and paintability of plane graphs, Discrete Applied Mathematics, (2022), str. 71 – 79
  37. Grzegorzewski P., Romaniuk M., Bootstrap methods for epistemic fuzzy data, International Journal of Applied Mathematics and Computer Science, 32(2) (2022), str. 285 – 297
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. Napoles G., Grau I., Jastrzębska A., Salgueiro Y., Long short-term cognitive networks, NEURAL COMPUTING & APPLICATIONS, 34 (2022), str. 16959 – 16971
  45. 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
  46. Bartak J., Jastrzębska A., Mining patterns of transitional growth using multivariate concept-based models, QUALITY & QUANTITY, 56 (2022), str. 4395 – 4419
  47. 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
  48. Jastrzębska A., Time Series Classification Through Visual Pattern Recognition, Journal of King Saud University-Computer and Information Sciences, 34(2) (2022), str. 134 – 142
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. Burdzy K., Kołodziejek B., Tadić T., Stochastic fixed point equation and local dependence measure, Annals of Applied Probability, 32(4) (2022), str. 2811 – 2840
  57. 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
  58. Kosewski P., Kubica A., Local in time solution to Kolmogorov’s two-equation model of turbulence, Monatshefte fur Mathematik, 198 (2022), str. 345 – 369
  59. Lonc Z., Petryshyn N., Edge decompositions and rooted packings of graphs, Discrete Mathematics, 345 (2022), str. 1 – 18
  60. 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
  61. 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
  62. 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
  63. Łazęcka M., Mielniczuk J., Squared-error based shrinkage estimators of discrete probabilities and their application to variable selection, Statistical Papers, (2022), str. 1 – 32
  64. Zaborski M., Woźniak M., Mańdziuk J., Multidimensional Red Fox meta-heuristic for complex optimization, Applied Soft Computing, 131 (2022), str. 109774_1 – 109774_18
  65. 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
  66. 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
  67. Pośpiech E., Teisseyre P., Mielniczuk J., Branicki W., Predicting Physical Appearance from DNA Data—Towards Genomic Solutions, Genes, 13(1) (2022), str. 1 – 28
  68. 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
  69. Bielecki T., Jakubowski J., Niewęgłowski M., Construction and Simulation of Generalized Multivariate Hawkes Processes, METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, (2022), str. 2865 – 2896
  70. 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
  71. Penza T., Romanowska A., Mal’tsev products of varieties, II, Algebra Universalis, 83 (2022), str. 1 – 18
  72. Piliszek A., Regression conditions that characterize free-Poisson and free-Kummer distributions, Random Matrices-Theory and Applications, 11(02) (2022), str. 2250019 – 2250037
  73. 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
  74. 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
  75. 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
  76. Basu S., Plewczyński D., Computational methods and strategies for combating COVID-19, METHODS, 206 (2022), str. 99 – 100
  77. 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
  78. 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
  79. 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
  80. 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
  81. 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
  82. 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
  83. 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
  84. 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
  85. 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
  86. 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
  87. 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
  88. 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
  89. 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
  90. 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
  91. 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
  92. Pytlak R., Suski D., Trajectory sensitivity analysis of hybrid_systems with sliding motion, Nonlinear Analysis-Hybrid Systems, 45 (2022), str. 1 – 19
  93. Nie T., Rutkowski M., Reflected and doubly reflected BSDEs driven by RCLL martingales, Stochastics and Dynamics, 22(5) (2022), str. 1 – 26
  94. Wróblewska A., Dąbrowski J., Pastuszak M., Michałowski A., Daniluk M., Rychalska B., Wieczorek M., Sysko-Romańczuk S., Designing Multi-Modal Embedding Fusion-Based Recommender, Electronics, 9(11) (2022), str. 1 – 12
  95. 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
  96. Dobbins M., Kleist L., Miltzow T., Rzążewski P., Completeness for the Complexity Class ∀∃R and Area-Universality, Discrete & Computational Geometry, 70 (2022), str. 154 – 188
  97. 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
  98. 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
  99. 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
  100. Masarik T., Muzi I., Pilipczuk M., Rzążewski P., Sorge M., Packing Directed Cycles Quarter- and Half-Integrally, COMBINATORICA, 42 (2022), str. 1409 – 1438
  101. Dvorak P., Feldmann A., Rai A., Rzążewski P., Parameterized Inapproximability of Independent Set in H-Free Graphs, ALGORITHMICA, 85 (2022), str. 902 – 928
  102. 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
  103. 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
  104. 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
  105. 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
  106. 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
  107. Bednarczuk E., Syga M., On duality for nonconvex minimization problems within the framework of abstract convexity, Optimization, 71(4) (2022), str. 949 – 971
  108. Mingo J., Popa M., Szpojankowski K., On the Partial Transpose of a Haar Unitary Matrix, Studia Mathematica, 266(3) (2022), str. 337 – 360
  109. Gouet R., Hitczenko P., Wesołowski J., Asymptotics of the overflow in urn models, Journal of Applied Probability, 59(3) (2022), str. 797 – 824
  110. Bryc W., Wesołowski J., Zięba A., Flows in near algebras with applications to harnesses, Colloquium Mathematicum, 170(2) (2022), str. 211 – 238
  111. Wesołowski J., Wieczorkowski R., Wójciak W., Optimality of the recursive Neyman allocation, Journal of Survey Statistics and Methodology, 10(5) (2022), str. 1263 – 1275
  112. Marcin C., Zbytniewski M., Gryszko G., Dziedzic M., Woźnica K., Orłowski T., Dziedzic D., Effect of 3A lymph node resection on survival in patients with right-sided NSCLC: a retrospective, multicentre, propensity-score matching study, Journal of Thoracic Disease, 14(9) (2022), str. 3265 – 3276
  113. Trojnar A., Domagała-Kulawik J., Sienkiewicz-Ulita A., Zbytniewski M., Gryszko G., Marcin C., Woźnica K., Sex differences in clinico-pathologic characteristics and long-term survival among 17,192 surgically treated NSCLC patients: Nationwide population-based propensity score-matching study, SURGICAL ONCOLOGY-OXFORD, 45 (2022), str. 101873_1 – 101873_10
  114. Szczepanek E., Drozd-Sokołowska J., Sokołowski J., Rzepakowska A., Moskwa A., Woźnica K., Szczęsny W., Solitary Extramedullary Plasmacytoma of the Larynx and Secondary Laryngeal Involvement in Plasma Cell Myeloma: Single-Centre Retrospective Analysis and Systematic Literature Review, Journal of Clinical Medicine, 11(15) (2022), str. 4390_1 – 4390_25
  115. 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
  116. 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
  117. 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
  118. 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. Biecek P., Bombiński P., Hryniewska W., Przelaskowski A., Szatkowski P., Tomaszewska P., Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies, PATTERN RECOGNITION, 118(AI for Combating (2021), str. 108035 – 108035
  8. 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
  9. 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
  10. 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
  11. 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
  12. Bies P., A priori estimates and theory of existence for parabolic equations in variable Hölder spaces, Journal of Differential Equations, 287 (2021), str. 491 – 541
  13. Bobecka-Wesołowska K., Tederko P., Ugniewski K., Tarnacka B., What do physiotherapists and physiotherapy students know about autonomic dysreflexia?, JOURNAL OF SPINAL CORD MEDICINE, 44(3) (2021), str. 418 – 424
  14. Brengos T., A coalgebraic take on regular and ω-regular behaviours, Logical Methods in Computer Science, 17(4) (2021), str. 24:1 – 24:46
  15. Kisiel K., Chełmiński K., Quasistatic viscoplasticity without safe-load conditions, Journal of Differential Equations, 305 (2021), str. 368 – 400
  16. Dębski M., Grytczuk J., Latin squares from multiplication tables, JOURNAL OF COMBINATORIAL DESIGNS, 29(5) (2021), str. 331 – 336
  17. Dębski M., Śleszyńska-Nowak M., Strong Cliques in Claw-Free Graphs, Graphs and Combinatorics, 37 (2021), str. 2581 – 2593
  18. Dębski M., Śleszyńska-Nowak M., t-Strong Cliques and the Degree-Diameter Problem, SIAM Journal on Discrete Mathematics, 35(4) (2021), str. 3017 – 3029
  19. Dembińska A., Eryilmaz S., Discrete time series–parallel system and its optimal configuration, RELIABILITY ENGINEERING & SYSTEM SAFETY, 215 (2021), str. 1 – 7
  20. Dembińska A., Jasiński K., Maximum likelihood estimators based on discrete component lifetimes of a k-out-of-n system, Test, 30 (2021), str. 407 – 428
  21. Dembińska A., Akbari M., Ahmadi J., On numbers of observations in random regions determined by records for tail-less populations, STATISTICS & PROBABILITY LETTERS, 179 (2021), str. 1 – 7
  22. Dembińska A., Nikolov N., Stoimenova E., Reliability properties of k-out-of-n systems with one cold standby unit, Journal of Computational and Applied Mathematics, 388 (2021), str. 1 – 27
  23. Cegielska J., Szmidt-Sałkowska E., Domitrz W., Gaweł M., Radziwoń-Zaleska M., Domitrz I., Migraine and Its Association with Hyperactivity of Cell Membranes in the Course of Latent Magnesium Deficiency—Preliminary Study of the Importance of the Latent Tetany Presence in the Migraine Pathogenesis, Nutrients, 13(8) (2021), str. 1 – 15
  24. Domitrz W., Romero Fuster M., Zwierzyński M., The geometry of the secant caustic of a planar curve, DIFFERENTIAL GEOMETRY AND ITS APPLICATIONS, 78 (2021), str. 1 – 22
  25. Fryszkowski A., Sadowski J., Filippov lemma for measure differential inclusion, Mathematische Nachrichten, 294(3) (2021), str. 580 – 602
  26. Gągolewski M., genieclust: Fast and robust hierarchical clustering, SoftwareX, 15 (2021), str. 100722_1 – 100722_3
  27. Lasek J., Gągolewski M., Interpretable sports team rating models based on the gradient descent algorithm, INTERNATIONAL JOURNAL OF FORECASTING, 37(3) (2021), str. 1061 – 1071
  28. Lirkov I., Harizanov S., Paprzycki M., Ganzha M., Performance analysis of parallel high‐resolution image restoration algorithms on Intel supercomputer, Concurrency and Computation: Practice and Experience, 33 (2021), str. 1 – 14
  29. Lee C., Moy L., Hughes D., Golden D., Bhargavan-Chatfield M., Hemingway J., Geras A., Duszak R., Rosenkrantz A., Radiologist Characteristics Associated with Interpretive Performance of Screening Mammography: A National Mammography Database (NMD) Study, RADIOLOGY, 300(3) (2021), str. 518 – 528
  30. Ghorbanalizadeh A., Górka P., Completeness and separability of the spaces of variable integrability and summability, Proceedings of the American Mathematical Society, 149(9) (2021), str. 3873 – 3879
  31. Górka P., MAXIMAL OPERATOR ON THE SPACE OF CONTINUOUS FUNCTIONS, Annales Academiae Scientiarum Fennicae-Mathematica, 46(1) (2021), str. 523 – 526
  32. Bandaliyev R., Górka P., Guliyev V., Sawano Y., Relatively compact sets in variable exponent Morrey spaces on metric spaces, Mediterranean Journal of Mathematics, 18(6) (2021), str. 1 – 23
  33. Górka P., Separability of a Metric Space Is Equivalent to the Existence of a Borel Measure, AMERICAN MATHEMATICAL MONTHLY, 128(1) (2021), str. 84 – 86
  34. Górka P., Karak N., Pons D., Variable Exponent Sobolev Spaces and Regularity of Domains, JOURNAL OF GEOMETRIC ANALYSIS, 31 (2021), str. 7304 – 7319
  35. Chilimoniuk J., Gosiewska A., Słowik J., Weiss R., Deckert P., Rödiger S., Burdukiewicz M., countfitteR: efficient selection of count distributions to assess DNA damage, Annals of Translational Medicine, 9(7) (2021), str. 528_1 – 528_17
  36. Włodarczak A., Rola P., Szudrowicz M., Łanocha M., Barycki M., Kulczycki J., Gosiewska A., Turkiewicz K., Lesiak M., Doroszko A., Sex Differences in the Clinical Features and Outcomes of Patients with Acute Coronary Syndrome Treated with Two Generations (Absorb and Magmaris) of Bioresorbable Vascular Scaffolds, Journal of Clinical Medicine, 10(17) (2021), str. 3768_1 – 3768_10
  37. Włodarczak A., Łanocha M., Szudrowicz M., Barycki M., Gosiewska A., Kulczycki J., Lesiak M., Doroszko A., Rola P., The 1-Year Safety and Efficacy Outcomes of Magmaris, Novel Magnesium Bioresorbable Vascular Scaffolds in Diabetes Mellitus Patients with Acute Coronary Syndrome, Journal of Clinical Medicine, 10(14) (2021), str. 3166_1 – 3166_10
  38. Grytczuk J., From the 1-2-3 Conjecture to the Riemann Hypothesis, European Journal of Combinatorics, 91 (2021), str. 1 – 10
  39. Bosek B., Dudek A., Farnik M., Grytczuk J., Mazur P., Hat chromatic number of graphs, Discrete Mathematics, 344(12) (2021), str. 1 – 10
  40. Bosek B., Grytczuk J., Nayar B., Zaleski B., Nonrepetitive list colorings of the integers, Annals of Combinatorics, 25 (2021), str. 393 – 403
  41. Grytczuk J., Kordulewski H., Pawlik B., Square-free extensions of words, Journal of Integer Sequences, 24(8) (2021), str. 1 – 17
  42. Dudek A., Grytczuk J., Ruciński A., Tight multiple twins in permutations, Annals of Combinatorics, 25(4) (2021), str. 1075 – 1094
  43. Dudek A., Grytczuk J., Ruciński A., Variations on twins in permutations, Electronic Journal of Combinatorics, 28(3) (2021), str. 1 – 18
  44. Pękala B., Dyczkowski K., Grzegorzewski P., Bentkowska U., Inclusion and similarity measures for interval-valued fuzzy sets based on aggregation and uncertainty assessment, Information Sciences, 547 (2021), str. 1182 – 1200
  45. Grzenda M., Legierski J., Towards Increased Understanding of Open Data Use for Software Development, INFORMATION SYSTEMS FRONTIERS, 23 (2021), str. 495 – 513
  46. Herburt I., Sakata S., An extremum problem for the power moment of a convex polygon contained in a disk, Advances in Geometry, 21(4) (2021), str. 599 – 609
  47. Bartak J., Jabłoński Ł., Jastrzębska A., Examining GDP Growth and Its Volatility: An Episodic Approach, Entropy, 23(7) (2021), str. 1 – 22
  48. Napoles G., Jastrzębska A., Salgueiro Y., Pattern classification with Evolving Long-term Cognitive Networks, Information Sciences, 548 (2021), str. 461 – 478
  49. Góra R., Bojakowski K., Piasecki A., Kasprzak D., Kaźmierczak S., Andziak P., Aneurysm Excision With Arteriovenous Anastomosis Proximalization for Dialysis Fistula Aneurysm Treatment, Vascular and Endovascular Surgery, 55(3) (2021), str. 216 – 220
  50. Andziak P., Bojakowski K., Foroncewicz B., Góra R., Kasprzak D., Kaźmierczak S., Małyszko J., To close, observe, or reconstruct: The third option for compli-cated dialysis fistula in the kidney transplant recipient, Journal of Clinical Medicine, 10(19) (2021), str. 1 – 17
  51. Nowisz J., Kopania M., Przelaskowski A., Realtime flicker removal for fast video streaming and detection of moving objects, MULTIMEDIA TOOLS AND APPLICATIONS, 80 (2021), str. 14941 – 14960
  52. Kubica A., Ryszewska K., A self-similar solution to time-fractional Stefan problem, Mathematical Methods in the Applied Sciences, 44(6) (2021), str. 4245 – 4275
  53. Kubkowski M., Mielniczuk J., Asymptotic distributions of empirical interaction information, METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 23 (2021), str. 291 – 315
  54. Kubkowski M., Mielniczuk J., Teisseyre P., How to gain on power: novel conditional independence tests based on short expansion of Conditional Mutual Information, Journal of Machine Learning Research, 22 (2021), str. 1 – 57
  55. Łazęcka M., Mielniczuk J., Teisseyre P., Estimating the class prior for positive and unlabelled data via logistic regression, Advances in Data Analysis and Classification, 15 (2021), str. 1039 – 1068
  56. Żychowski A., Mańdziuk J., Duo-LDL method for Label Distribution Learning based on pairwise class dependencies, Applied Soft Computing, 110 (2021), str. 107585_1 – 107585_11
  57. Bielecki T., Jakubowski J., Jeanblanc M., Niewęgłowski M., Semimartingales and Shrinkage of Filtration, Annals of Applied Probability, 31(3) (2021), str. 1376 – 1402
  58. Okrasa K., Rzążewski P., Fine-grained complexity of the graph homomorphism problem for bounded-treewidth graphs, SIAM Journal on Computing, 50(2) (2021), str. 487 – 508
  59. Novotna J., Okrasa K., Pilipczuk M., Rzążewski P., van Leeuwen E., Walczak B., Subexponential-Time Algorithms for Finding Large Induced Sparse Subgraphs, ALGORITHMICA, 83 (2021), str. 2634 – 2650
  60. Owczarek S., Ghiba I., Neff P., A note on local higher regularity in the dynamic linear relaxed micromorphic model, Mathematical Methods in the Applied Sciences, 44(18) (2021), str. 13855 – 13865
  61. Ghiba I., Neff P., Owczarek S., Existence results for non‐homogeneous boundary conditions in the relaxed micromorphic model, Mathematical Methods in the Applied Sciences, 44(2) (2021), str. 2040 – 2049
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Last updated on 2023-12-02 12:25:18