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. Banecki K., Korsak S., Plewczyński D., Advancements and future directions in single-cell Hi-C based 3D chromatin modeling, Computational and Structural Biotechnology Journal, 23 (2024), str. 3549 – 3558
  3. Banecki K., Chiliński M., Kadlof M., Plewczyński D., Chromatin image-driven modelling, METHODS, 226 (2024), str. 54 – 60
  4. Banecki K., Korsak S., Plewczyński D., Multiscale molecular modeling of chromatin with MultiMM: From nucleosomes to the whole genome, Computational and Structural Biotechnology Journal, 23 (2024), str. 3537 – 3548
  5. Baniecki H., Biecek P., Adversarial attacks and defenses in explainable artificial intelligence: A survey, Information Fusion, 107(1) (2024), str. 1 – 14
  6. 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
  7. Mądry K., Lis K., Sienkiewicz E., Drozd-Sokołowska J., Biecek P., No advantage of antimicrobial prophylaxis in AML/MDS/CMML patients treated with azacitidine—a prospective multicenter study by the Polish Adult Leukemia Group, Frontiers in Oncology, 14 (2024), str. 1 – 9
  8. Biecek P., Baniecki H., Krzyzinski M., Cook D., Performance Is Not Enough: The Story Told by a Rashomon Quartet, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 33(3) (2024), str. 1118 – 1121
  9. Krzanowska K., Batko K., Niezabitowska K., Woźnica K., Grodzicki T., Małecki M., Bociąga-Jasik M., Biecek P., Predicting acute kidney injury onset with a random forest algorithm using electronic medical records of COVID-19 patients: the CRACoV-AKI model., Polskie Archiwum Medycyny Wewnetrznej-Polish Archives of Internal Medicine, 134(5) (2024), str. 16697 – 16697
  10. Tederko P., Frasuńska J., Bobecka-Wesołowska K., Wesołowski K., Czech J., Gawlak D., Tarnacka B., Factors Associated with Employment of Powered Wheelchair Users, Disability and Rehabilitation-Assistive Technology, 19(8) (2024), str. 2983 – 2990
  11. Gotlib T., Kuźmińska M., Bobecka-Wesołowska K., Sphenomaxillary Plate: Landmine or Landmark?, Ear, Nose & Throat Journal, 103(10) (2024), str. 627 – 632
  12. Bogacka K., Sowiński P., Danilenka A., Mahedero Biot F., Wasielewska K., Ganzha M., Paprzycki M., Palau C., Flexible Deployment of Machine Learning Inference Pipelines in the Cloud–Edge–IoT Continuum, Electronics, 13(10) (2024), str. 1 – 31
  13. Bogacka K., Danilenka A., Wasielewska-Michniewska K., Gradient Scale Monitoring for Federated Learning Systems, Journal of Automation, Mobile Robotics & Intelligent Systems – JAMRIS, 18(3) (2024), str. 14 – 27
  14. Chiliński M., Plewczyński D., HiCDiffusion – diffusion-enhanced, transformer-based prediction of chromatin interactions from DNA sequences, BMC GENOMICS, 25(1) (2024), str. 964 – 964
  15. Chiliński M., Fichna J., Halder A., Plewczyński D., Structural Variants and Implicated Processes Associated with Familial Tourette Syndrome, INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 25(11) (2024), str. 5758 – 5758
  16. Chybowska-Sokół J., Junosza-Szaniawski K., Online coloring of disk graphs, Theoretical Computer Science, 1020 (2024), str. 1 – 18
  17. Chybowska-Sokół J., Gutowski G., Junosza-Szaniawski K., Mikos P., Polak A., ONLINE COLORING OF SHORT INTERVALS, European Journal of Combinatorics, 118 (2024), str. 1 – 23
  18. Danilenka A., Tackling Non-IID Data and Data Poisoning in Federated Learning using Adversarial Synthetic Data, Journal of Automation, Mobile Robotics & Intelligent Systems – JAMRIS, 18(3) (2024), str. 1 – 13
  19. Dębski M., Grytczuk J., Pawlik B., Extensions and reductions of square-free words, Discrete Mathematics, 347(3) (2024), str. 1 – 7
  20. Dębski M., Grytczuk J., Pawlik B., Przybyło J., Śleszyńska-Nowak M., Words Avoiding Tangrams, Annals of Combinatorics, -(-) (2024), str. 1 – 16
  21. 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
  22. Davies K., Dembińska A., On the Residual Lifetimes of Dependent Components Upon System Failure, RELIABILITY ENGINEERING & SYSTEM SAFETY, 248 (2024), str. 1 – 16
  23. Domitrz W., Zubilewicz M., Bi-Lagrangian structures and the space of rays, Journal of Physics A-Mathematical and Theoretical, 57(33) (2024), str. 1 – 36
  24. 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
  25. Bertoli-Barsotti L., Gągolewski M., Siudem G., Żogała-Siudem B., Equivalence of inequality indices in the three-dimensional model of informetric impact, Journal of Informetrics, 18(4) (2024), str. 101566 – 101566
  26. Bertoli-Barsotti L., Gągolewski M., Siudem G., Żogała-Siudem B., Gini-stable Lorenz curves and their relation to the generalised Pareto distribution, Journal of Informetrics, 18(2) (2024), str. 101499 – 101499
  27. Wu J., Beliakov G., James S., Gągolewski M., Random generation of linearly constrained fuzzy measures and domain coverage performance evaluation, Information Sciences, 659 (2024), str. 120080 – 120080
  28. Czerniak J., Ewald D., Fidanova S., Ganzha M., Paprzycki M., A New Artificial Duroc Pigs Optimization Method Used for the Optimization of Functions, Electronics, 13(1372) (2024), str. 1 – 19
  29. Sawicki J., Ganzha M., Paprzycki M., Applying Named Entity Recognition and Graph Networks to Extract Common Interests from Thematic Subfora on Reddit, Applied Sciences-Basel, 14(5) (2024), str. 1696 – 1721
  30. Kuntur S., Krzywda M., Wróblewska A., Paprzycki M., Ganzha M., Comparative Analysis of Graph Neural Networks and Transformers for Robust Fake News Detection: A Verification and Reimplementation Study, Electronics, 13(23) (2024), str. 4784 – 4784
  31. Wrona Z., Ganzha M., Paprzycki M., Pawlowski W., Ferrando A., Cabri G., Badica C., Comparison of Multi-Agent Platform Usability for Industrial-Grade Applications, Applied Sciences-Basel, 14(22)(10124) (2024), str. 1 – 28
  32. Ganzha M., Krzyżanowski S., Paprzycki M., Wrona Z., Dynamic Knowledge Management in an Agent-Based Extended Green Cloud Simulator, Energies, 17(780) (2024), str. 1 – 26
  33. Roethel A., Ganzha M., Wróblewska A., Enriching Language Models with Graph-Based Context Information to Better Understand Textual Data, Electronics, 13(10) (2024), str. 1 – 20
  34. Sawicki J., Ganzha M., Exploring Reddit Community Structure: Bridges, Gateways and Highways, Electronics, 13(10) (2024), str. 1935 – 1949
  35. Ganzha M., Gepner P., Kocot B., Moroz L., Olas T., Paprzycki M., Performance Evaluation of Parallel Graphs Algorithms Utilizing Graphcore IPU, Electronics, 13(2011) (2024), str. 1 – 15
  36. Sowiński P., Szmeja P., Ganzha M., Paprzycki M., RDF Stream Taxonomy: Systematizing RDF Stream Types in Research and Practice, Electronics, 13(13) (2024), str. 1 – 22
  37. Filipiuk I., Geras A., Jurzysta B., Koperski Ł., Naeini A., Rączkowski Ł., Shafighi S., Toosi H., Integrative spatial and genomic analysis of tumor heterogeneity with Tumoroscope, Nature Communications, 15 (2024), str. 1 – 16
  38. Górka P., Ruiz C., Sanchiz M., Compact inclusions between variable Hölder spaces, Journal of Mathematical Analysis and Applications, 538(1) (2024), str. . – 128328
  39. Górka P., Lefelelbajn P., Cone property and measure density condition, MATHEMATICAL INEQUALITIES & APPLICATIONS, 27(2) (2024), str. 311 – 325
  40. Górka P., Karak N., Pons D., Variable exponent Sobolev spaces and regularity of domains-II, Revista Matematica Complutense, (2024), str. 695 – 711
  41. Dudek A., Grytczuk J., Ruciński A., Erdős-Szekeres type theorems for ordered uniform matchings, JOURNAL OF COMBINATORIAL THEORY SERIES B, 170(1) (2024), str. 225 – 259
  42. Anholcer M., Bosek B., Grytczuk J., Majority choosability of countable graphs, European Journal of Combinatorics, 117 (2024), str. 1 – 8
  43. Dudek A., Grytczuk J., Ruciński A., Ordered Unavoidable Sub-Structures in Matchings and Random Matchings, Electronic Journal of Combinatorics, 31(2) (2024), str. 1 – 27
  44. Dudek A., Grytczuk J., Ruciński A., Twins in ordered hyper-matchings, Discussiones Mathematicae Graph Theory, x(x) (2024), str. 1 – 18
  45. Grzegorzewski P., Romaniuk M., Bootsrapped tests for epistemic fuzzy data, International Journal of Applied Mathematics and Computer Science, 34(2) (2024), str. 277 – 289
  46. Parchami A., Grzegorzewski P., Romaniuk M., Statistical simulations with LR random fuzzy numbers, Statistical Papers, 65 (2024), str. 3583 – 3600
  47. Hassani A., Nicińska A., Drabicki A., Zawojska E., Sousa Santos G., Kula G., Grythe H., Zawieska J., Jaczewska J., Rachubik J., Archanowicz-Kudelska K., Zagórska K., Grzenda M., Kubecka M., Luckner M., Jakubczyk M., Wolański M., Castell N., Gora P., Skedsmo P., Rożynek S., Horosiewicz S., Air quality and transport behaviour: sensors, field, and survey data from Warsaw, Poland, Scientific Data, 11 (2024), str. 1 – 23
  48. Agarwal A., Halder A., Jodkowska K., Plewczyński D., A systematic analyses of different bioinformatics pipelines for genomic data and its impact on deep learning models for chromatin loop prediction, Briefings in Functional Genomics, 23(5) (2024), str. 538 – 548
  49. Halder A., Łaźniewski M., Plewczyński D., Use of in silico approaches, synthesis and profiling of Pan-filovirus GP-1,2 preprotein specific antibodies, Briefings in Functional Genomics, 12 (2024), str. 1 – 1
  50. Dias-Domingues T., Henriques dos Santos de Sepulveda N., Mouriño H., Analysis of Antibody Data Using Skew-Normal and Skew-t Mixture Models, REVSTAT-Statistical Journal, 22(1) (2024), str. 111 – 132
  51. Westermeier F., Henriques dos Santos de Sepulveda N., Editorial: On the cusp of the silent wave of the long COVID pandemic: why, what and how should we tackle this emerging syndrome in the clinic and population?, Frontiers in Public Health, 12 (2024), str. 1483693 – 1483693
  52. 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
  53. Henriques dos Santos de Sepulveda N., Malato J., Winck J., Vaz Carneiro A., Serra Hoffman J., Branco J., Post-Infection Fatigue Syndromes in the Era of Long COVID: The Case of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, Acta Medica Portuguesa, 37(12) (2024), str. 819 – 822
  54. Henriques dos Santos de Sepulveda N., Westermeier F., Sex and disease severity-based analysis of steroid hormones in ME/CFS, JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION, 47(9) (2024), str. 2235 – 2248
  55. Płocharski A., Porter-Sobieraj J., Lamecki A., Herman T., Uszakow A., Skeleton based tetrahedralization of surface meshes, COMPUTER AIDED GEOMETRIC DESIGN, 111 (2024), str. 102317-1 – 102317-13
  56. Homenda W., Ouyang C., Yang F., Yu F., Pedrycz W., Chang J., He Q., Constructing Spatial Relationship and Temporal Relationship Oriented Composite Fuzzy Cognitive Maps for Multivariate Time Series Forecasting, IEEE Transactions on Fuzzy Systems, 32(8) (2024), str. 4338 – 4351
  57. Homenda W., Jastrzębska A., Pedrycz W., Wrzesień M., Time series classification with their image representation, Neurocomputing, 573(127214) (2024), str. 1 – 15
  58. Fukuda T., Janeczko S., Generalized Hamiltonian systems on subvarieties: constant rank case, Research in the Mathematical Sciences, 11 (2024), str. 1 – 15
  59. Itzhak N., Jaroszewicz S., Moskovitch R., Event prediction by estimating continuously the completion of a single temporal pattern’s instances, JOURNAL OF BIOMEDICAL INFORMATICS, 156 (2024), str. 104665 – 104665
  60. Napoles G., Jastrzębska A., Grau I., Salgueiro Y., Backpropagation through time learning for recurrence-aware long-term cognitive networks, KNOWLEDGE-BASED SYSTEMS, 295(111825) (2024), str. 1 – 10
  61. Gajewski M., Hryniewicz O., Jastrzębska A., Kozakiewicz M., Opara K., Owsiński J., Zadrożny S., Zwierzchowski T., Data-driven human and bot recognition from web activity logs based on hybrid learning techniques, Digital Communications and Networks, 10(4) (2024), str. 1178 – 1188
  62. 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
  63. Burczaniuk M., Jastrzębska A., On the Improvements of Metaheuristic Optimization-Based Strategies for Time Series Structural Break Detection, Informatica, 2024 (2024), str. 1 – 33
  64. 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
  65. Korsak S., Plewczyński D., LoopSage: An energy-based Monte Carlo approach for the loop extrusion modeling of chromatin, METHODS, 223 (2024), str. 106 – 117
  66. Kubica A., Ryszewska K., Zacher R., Hölder continuity of weak solutions to evolution equations with distributed order fractional time derivative, Mathematische Annalen, 390 (2024), str. 2513 – 2592
  67. Małkiński M., Mańdziuk J., Multi-Label Contrastive Learning for Abstract Visual Reasoning, IEEE Transactions on Neural Networks and Learning Systems, 35(2) (2024), str. 1941 – 1953
  68. Zakrzewski G., Skonieczka K., Małkiński M., Mańdziuk J., ReModels: Quantile Regression Averaging models, SoftwareX, 28(101905) (2024), str. 1 – 8
  69. Xie X., Pu Y., Zhang H., Mańdziuk J., El-Alfy E., Wang J., An interpretable neural network for robustly determining the location and number of cluster centers, International Journal of Machine Learning and Cybernetics, 15 (2024), str. 1473 – 1501
  70. Gong X., Wang J., Ren Q., Zhang K., El-Alfy E., Mańdziuk J., Embedded feature selection approach based on TSK fuzzy systems with sparse rule base for high-dimensional classification problem, KNOWLEDGE-BASED SYSTEMS, 295(111809) (2024), str. 1 – 13
  71. Białas M., Mirończuk M., Mańdziuk J., Leveraging Spiking Neural Networks for Topic Modeling, NEURAL NETWORKS, 178(106494) (2024), str. 1 – 18
  72. Wang J., Xue X., Sun Z., Yao J., El-Alfy E., Zhang K., Pedrycz W., Mańdziuk J., Theory guided Lagrange programming neural network for subsurface flow problems, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 134(108656) (2024), str. 1 – 11
  73. Matraś P., van Wyk L., Ziembowski M., On the maximum dimensions of subalgebras of Mn(K) satisfying two related identities, Linear Algebra and its Applications, 698 (2024), str. 73 – 93
  74. Matraś P., van Wyk L., Ziembowski M., The structure of subalgebras of full matrix algebras over a field satisfying the identity [x1, y1][x2, y2] ··· [xq, yq] = 0, Journal of Algebra, 657 (2024), str. 159 – 206
  75. Mielniczuk J., Rejchel W., Teisseyre P., Joint empirical risk minimization for instance-dependent positive-unlabeled data, KNOWLEDGE-BASED SYSTEMS, 304(1) (2024), str. 1 – 21
  76. Ganian R., Hamm T., Korchemna V., Okrasa K., Simonov K., The Fine-Grained Complexity of Graph Homomorphism Parameterized by Clique-Width, ACM Transactions on Algorithms, 20(3) (2024), str. 19:1 – 19:26
  77. 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
  78. Plewczyński D., Saha I., Editorial: Unveiling novel aspects of SARS-CoV-2 to combat COVID-19, Frontiers in Genetics, 15 (2024), str. 1 – 1
  79. Stelmaszek M., Zdroik P., Porter-Sobieraj J., Automated 3D-printing path generation for parts with holes using continuous fibre filament, Virtual and Physical Prototyping, 19(1) (2024), str. e2402871-1 – e2402871-16
  80. Pol R., Reńska M., A note on a theorem of Hausdorff, Proceedings of the American Mathematical Society, 152 (2024), str. 4915 – 4921
  81. Paesani G., Paulusma D., Rzążewski P., Classifying subset feedback vertex set for H-free graphs, Theoretical Computer Science, 1003 (2024), str. 114624 – 114624
  82. 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
  83. Abrishami T., Chudnovsky M., Pilipczuk M., Rzążewski P., Seymour P., Induced Subgraphs of Bounded Treewidth and the Container Method, SIAM Journal on Computing, 53 (2024), str. 624 – 647
  84. 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
  85. Harjulehto P., Hästö P., Słabuszewski A., A REVISED CONDITION FOR HARMONIC ANALYSIS IN GENERALIZED ORLICZ SPACES ON UNBOUNDED DOMAINS, Mathematische Nachrichten, 297(9) (2024), str. 3184 – 3191
  86. Dąbrowska A., Kobus M., Sowiński P., Starzak Ł., Pękosławski B., Integration of Active Clothing with a Personal Cooling System within the NGIoT Architecture for the Improved Comfort of Construction Workers, Applied Sciences-Basel, 14(2) (2024), str. 1 – 19
  87. Popa M., Szpojankowski K., Tseng P., Asymptotic free independence and entry permutations for Gaussian random matrices. Part II: infinitesimal freeness, Electronic Journal of Probability, 29(168) (2024), str. 1 – 28
  88. Letac G., Wesołowski J., About an extension of the Matsumoto-Yor property, ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES, 60(3) (2024), str. 2075 – 2091
  89. Wang Y., Wesołowski J., Yang Z., Askey–Wilson signed measures and open ASEP in the shock region, International Mathematics Research Notices, 2024(15) (2024), str. 11104 – 11134
  90. Wesołowski J., Zięba A., Infinitesimal generators for a family of polynomial processes – an algebraic approach, Probability and Mathematical Statistics, 44(1) (2024), str. 51 – 85
  91. Piccioni M., Wesołowski J., Reversible Markov kernels and involutions on product spaces, ALEA-Latin American Journal of Probability and Mathematical Statistics, 21 (2024), str. 1655 – 1667
  92. Krawczyk D., Urbański M., Wójcicka K., Wójcicki P., On fuzzy order in fuzzy sets based on t-norm fuzzy arithmetic, Fuzzy Sets and Systems, 487 (2024), str. 1 – 13
  93. Ziembicki D., Seweryn K., Wróblewska A., Polish natural language inference and factivity: An expert-based dataset and benchmarks, Natural Language Engineering, 30(2) (2024), str. 385 – 416

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. Sawicki J., Burdukiewicz M., VisQualdex–the comprehensive guide to good data visualization., Scientific Visualization, 15(1) (2023), str. 127 – 149
  18. 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
  19. Żogała-Siudem B., Cena A., Siudem G., Gągolewski M., Interpretable reparameterisations of citation models, Journal of Informetrics, 17(1) (2023), str. 1 – 11
  20. 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
  21. 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
  22. Chiliński M., Halder A., Plewczyński D., Prediction of chromatin looping using deep hybrid learning (DHL), Quantitative Biology, 11(2) (2023), str. 155 – 162
  23. Chybowska-Sokół J., Junosza-Szaniawski K., Węsek K., Coloring distance graphs on the plane, Discrete Mathematics, 346(7) (2023), str. 113441 – 113456
  24. Dębski M., Edge Colorings Avoiding Patterns, European Journal of Combinatorics, 117 (2023), str. 1 – 9
  25. Dębski M., Grytczuk J., Naroski P., Śleszyńska-Nowak M., Strongly Proper Connected Coloring of Graphs, Annals of Combinatorics, -(-) (2023), str. 1 – 21
  26. Domitrz W., Zubilewicz M., Local invariants of divergence-free webs, Analysis and Mathematical Physics, 13:4 (2023), str. 1 – 41
  27. Dybowski M., Górka P., The axiom of choice inmetricmeasure spaces and maximal delta-separated sets, ARCHIVE FOR MATHEMATICAL LOGIC, 62 (2023), str. 735 – 749
  28. Dymek M., Górka P., Compactness in the spaces of variable integrability and summability, Mathematische Nachrichten, 296(9) (2023), str. 4317 – 4334
  29. 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
  30. 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
  31. 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
  32. 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
  33. Górka P., Słabuszewski A., Embedding of fractional Sobolev spaces is equivalent to regularity of the measure, Studia Mathematica, 268(3) (2023), str. 333 – 343
  34. Dudek A., Grytczuk J., Ruciński A., Long twins in random words, Annals of Combinatorics, 27 (2023), str. 1 – 20
  35. Grytczuk J., Pawlik B., Plewczyński M., More variations on shuffle squares, Symmetry-Basel, 15 (2023), str. 1 – 11
  36. 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
  37. 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
  38. Romaniuk M., Grzegorzewski P., Resampling Fuzzy Numbers with Statistical Applications: FuzzyResampling Package, R Journal, 15(1) (2023), str. 271 – 283
  39. 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
  40. 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
  41. Basu S., Chakraborti T., Halder A., Sriwastava B., RUBic: rapid unsupervised biclustering, BMC Bioinformatics, 24 (2023), str. 1 – 16
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. Bartak J., Jastrzębska A., Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models, IEEE Access, 11 (2023), str. 11664 – 11674
  51. Napoles G., Grau I., Jastrzębska A., Salgueiro Y., Presumably correct decision sets, PATTERN RECOGNITION, 141 (2023), str. 1 – 10
  52. 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
  53. 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
  54. 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
  55. Karwowski J., Mańdziuk J., Żychowski A., Sequential Stackelberg Games with bounded rationality, Applied Soft Computing, 132 (2023), str. 109846-1 – 109846-18
  56. Kołodziejczyk D., POLYHEDRA FOR WHICH EVERY HOMOTOPY DOMINATION OVER ITSELF IS A HOMOTOPY EQUIVALENCE., Topology and Its Applications, 339, 108572 (2023), str. 1 – 10
  57. 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
  58. 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
  59. 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
  60. 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
  61. Lewy D., Mańdziuk J., An overview of mixing augmentation methods and augmentation strategies, ARTIFICIAL INTELLIGENCE REVIEW, 56 (2023), str. 2111 – 2169
  62. 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
  63. 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
  64. 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
  65. Małkiński M., Mańdziuk J., A review of emerging research directions in Abstract Visual Reasoning, Information Fusion, 91 (2023), str. 713 – 736
  66. Żychowski A., Mańdziuk J., Coevolution of Players Strategies in Security Games, Journal of Computational Science, 68 (2023), str. 101980-1 – 101980-12
  67. 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
  68. 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
  69. 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
  70. 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
  71. Kocoń J., Cichecki I., Kaszyca O., Kochanek M., Szydło D., Baran J., Bielaniewicz J., Gruza M., Janz A., Kanclerz K., Kocoń A., Koptyra B., Mieleszczenko-Kowszewicz W., Miłkowski P., Oleksy M., Piasecki M., Radliński Ł., Wojtasik K., Woźniak S., Kazienko P., ChatGPT: Jack of all trades, master of none, Information Fusion, 99 (2023), str. 1 – 37
  72. Matczak K., Mućka A., Romanowska A., FINITELY GENERATED DYADIC CONVEX SETS, International Journal of Algebra and Computation, 33(03) (2023), str. 585 – 615
  73. 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
  74. 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
  75. Majewski K., Masarik T., Masarikova J., Okrasa K., Pilipczuk M., Rzążewski P., Sokołowski M., Max Weight Independent Set in graphs with no long claws: An analog of the Gyárfás′ path argument, ACM Transactions on Computation Theory, 16 (2023), str. 8:1 – 8:18
  76. Chen H., Jansen B., Okrasa K., Pieterse A., Rzążewski P., Sparsification Lower Bounds for List H-Coloring, ACM Transactions on Computation Theory, 15 (2023), str. 8:1 – 8:23
  77. 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
  78. 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
  79. 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
  80. 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
  81. Pawłowski M., Wróblewska A., Sysko-Romańczuk S., Effective Techniques for Multimodal Data Fusion: A Comparative Analysis, SENSORS, 23(5) (2023), str. 1 – 16
  82. 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
  83. 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
  84. Aksamit A., Li L., Rutkowski M., Generalized BSDE and reflected BSDE with random time horizon, Electronic Journal of Probability, 28 (2023), str. 1 – 41
  85. 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
  86. 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
  87. 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
  88. 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
  89. Focke J., Marx D., Rzążewski P., Counting list homomorphisms from graphs of bounded treewidth: tight complexity bounds, ACM Transactions on Algorithms, (2023), str. 11:1 – 11:32
  90. 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
  91. Bok J., Fiala J., Jedlickova N., Kratochvil J., Rzążewski P., List Covering of Regular Multigraphs with Semi-edges, ALGORITHMICA, 86 (2023), str. 782 – 807
  92. Łyczek K., Nazarczuk M., Rzążewski P., Towards the Chen-Raspaud conjecture, Discrete Mathematics, 347 (2023), str. 113798 – 113798
  93. 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
  94. Graczyk J., Świątek G., Analytic structures and harmonic measure at bifurcation locus, Advances in Mathematics, 421 (2023), str. 1 – 38
  95. 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
  96. Mingo J., Popa M., Szpojankowski K., Asymptotic ∗–distribution of permuted Haar unitary matrices, INDIANA UNIVERSITY MATHEMATICS JOURNAL, 72(3) (2023), str. 927 – 967
  97. 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
  98. 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
  99. 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
  100. 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
  101. 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
  102. 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
  103. 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
  104. Rempała G., Wesołowski J., Poisson limit theorems for the Cressie–Read statistics, Journal of Statistical Planning and Inference, 223 (2023), str. 15 – 32
  105. Wesołowski J., Rotation schemes and Chebyshev polynomials, Statistics in Transition-New Series, 24(3) (2023), str. 47 – 59
  106. Wójciak W., Another solution for some optimum allocation problem, Statistics in Transition-New Series, 24(5) (2023), str. 203 – 219
  107. Krantz S., Sadowski J., Wójcicki P., Żynda T., Reproducing kernels and minimal solutions of elliptic equations, Georgian Mathematical Journal, 30(2) (2023), str. 303 – 320
  108. 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
  109. 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

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. 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. Chybowska-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
  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. 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, 313 (2022), str. 71 – 79
  36. Dudek A., Grytczuk J., Ruciński A., Multiple twins in permutations, Australasian Journal of Combinatorics, 87(3) (2022), str. 440 – 451
  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. Bertinat R., Villalobos-Labra R., Hofmann L., Blauensteiner J., Henriques dos Santos de Sepulveda N., Westermeier F., Decreased NO production in endothelial cells exposed to plasma from ME/CFS patients, VASCULAR PHARMACOLOGY, 143 (2022), str. 1 – 8
  43. Sotzny F., Salerno Filgueiras I., Kedor C., Freitag H., Wittke K., Bauer S., Henriques dos Santos de Sepulveda N., Dysregulated autoantibodies targeting vaso- and immunoregulatory receptors in Post COVID Syndrome correlate with symptom severity, Frontiers in Immunology, 13 (2022), str. 1 – 17
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Last updated on 2024-12-21 12:34:46