Prof. dr hab. Mariusz Flasiński

100 wybranych cytowań w publikacjach o zasięgu międzynarodowym


ISI Web of Science (Thomson Reuters)

Citations

h-index

3928

35

 

Google Scholar

Cytowania

h-indeks

9439

48

Link do Google Scholar: https://scholar.google.pl/citations?hl=pl&user=GuNO-2AAAAAJ

 

  1. C. Xu, et al., Improving Dynamic Gesture Recognition in Untrimmed Videos by an Online Lightweight Framework and a New Gesture Dataset ZJUGesture, Neurocomputing 523 (2023), Elsevier Science, The Netherlands, 58-68.


  2. E.J. Robert, H. J. Duraisamy, A Review on Computational Methods Based Automated Sign Language Recognition System for Hearing and Speech Impaired Community, Concurrency and Computation 35 (2023), Wiley, New Jersey, USA, e7653.


  3. R. Valdes, et al., Parameter Extraction in Thin Film Transistors Using Artificial Neural Networks, Materials in Electronics 34 (2023), Springer Science, Switzerland, 555.


  4. S. Harifi, et al., Swarm Based Automatic Clustering Using Nature Inspired Emperor Penguins Colony Algorithm, Evolving Systems 14 (2023), Springer Science, Switzerland, 1083-1099.


  5. R. Benjamin, Reproduction Number Projection for the COVID-19 Pandemic, Advances in Continuous and Discrete Models (2023), Springer Science, Switzerland, 46.


  6. L. Lim, et al., Effects of Real-Time Analytics-Based Personalized Scaffolds on Students' Self-Regulated Learning, Computers in Human Behavior 139 (2023), Elsevier Science, The Netherlands, 107547.


  7. A. Sultana, et al., Emerging of Artificial Intelligence and Technology in Pharmaceuticals: Review, Future Journal of Pharmaceutical Sciences 9 (2023), Springer Science, Switzerland, 65.


  8. A.C.B. Monteiro, R.P. Franca, R. Arthur, Y. Iano, An Overview of Artificial Intelligent Technology Directed at Smart Sensors and Devices, Studies in Big Data 92 (2022), Springer Science, Switzerland, 3-26.


  9. C. Li, et al., Artificial Intelligence in Multiparametric Magnetic Resonance Imaging: A Review, Medical Physics 49 (2022), Wiley, New Jersey, USA, e1024-e1054.


  10. G. Astolfi, F. P. C. Rezende, J. V. A. Porto, E. T. Matsubara, H. Pistori, Syntactic Pattern Recognition in Computer Vision: A Systematic Review, ACM Computing Surveys 54 (2021), 65:1 - 65:35, ACM, USA.


  11. J. W. Ma, et al., An Application of Metadata-Based Image Retrieval System for Facility Management, Advanced Engineering Informatics 50 (2021), Elsevier Science, The Netherlands, 101417.


  12. A. Guidara, Artificial Intelligence and Fuzzy Logic, Studies in Fuziness and Soft Computing 405 (2021), Springer International, Switzerland, 47-67.


  13. R. Nooraeni, H.I. Arsa, N.W.K. Pryb, Fuzzy Centroid and Genetic Algorithms: Solution for Numeric and Categorial Mixed Data Clustering, Procedia Computer Science 179 (2021), Elsevier Science, The Netherlands, 677-684.


  14. A.N. Stamate, G. Sauve, P.L. Denis, The Rise of the Machines and How They Impact Workers' Psychological Health: An Empirical Study, Human Behavior and Emerging Technologies 3 (2021), Wiley, 942-955.


  15. T. Senthil, C. Rajan, J. Deepika, An Efficient Handwritten Digit Recognition Based on Convolution Neural Networks with Ortogonal Learning Strategies, International Journal of Pattern Recognition and Artificial Intelligence (2021), World Scientific, 2253001.


  16. L. Perez-Cruz, D. Treisman, AI Turning Points and the Road Ahead, Studies in Computational Intelligence 893 (2021), Springer, Switzerland, 89-108.


  17. P. Preethi, R. Asokan, N. Thillaiarasu, T. Saravanan, An Effective Digit Recognition Model Using Enhanced Convolutional Neural Network Based Chaotic Grey Wolf Optimization, Journal of Intelligent and Fuzzy Systems 41 (2021), IOS Press, The Netherlands, 3727-3737.


  18. A.C.B. Monteiro, Y. Iano, R.P. Franca, R. Arthur, A Metaheuristic Algorithm for Classification of White Blood Cells in Healthcare Informatics, Studies in Computational Intelligence 967 (2021), Springer, Switzerland, 219-238.


  19. H. Hu, C. Zhang, Y. Liang, Detection of Surface Roughness of Mechanical Drawings with Deep Learning, Journal of Mechanical Science and Technology 35 (2021), Springer Nature, Switzerland, 5541-5549.


  20. M. Sessarego, J. Feng, N. Ramos-Garcia, S. G. Horcas, Design Optimization of a Curved Wind Turbine Blade Using Neural Networks and an Aero-elastic Vortex Method under Turbulent Inflow, Renewable Energy 23 (2020), Elsevier Science, The Netherlands, 1524-1535.


  21. C. Deng, X. Ji, C. Rainey, J. Zhang, W. Lu, Integrating Machine Learning with Human Knowledge, iScience 23 (2020), Elsevier Science, The Netherlands, https://doi.org/10.1016/j.isci.2020.101656


  22. X. Y. Wang, Y. F. Liu, K. Zhang, A Graph Grammar Approach to the Design an Validation of Floor Plants, The Computer Journal 63 (2020), Oxford University Press, Oxford, United Kingdom, 137-150.


  23. E. K. Kumar, et al., 3D Sign Language Recognition with Joint Distance and Angular Coded Color Topographical Descriptor on a 2-Stream CNN, Neurocomputing 372 (2020), Elsevier Science, The Netherlands, 40-54.


  24. F. Ning, Y. Shi, M. Cai, W. Xu, Various Realization Methods of Machine-Part Classification Based on Deep Learning, Journal of Intelligent Manufacturing 31 (2020), 2019-2032, Springer International, Switzerland.


  25. S. Teixeira, et al., LAURA Architecture: Towards a Simpler Way of Building Situation-aware and Business-aware IoT Applications, Journal of Systems and Software 161 (2020), Elsevier Science, The Netherlands, 110494.


  26. L. Furst, M. Mernik, V. Mahnic, Graph Grammar Induction, Advances in Computers 116 (2020), Academic Press - Elsevier Science, The Netherlands, 134-180.


  27. T. Zielke, Is Artificial Intelligence Ready for Standardization?, Communications in Computer and Information Science 1251 (2020), Springer International, Switzerland, 259-274.


  28. J. Memon, H. Sami, R. A. Khan, M. Uddin, Handwritten Optical Character Recognition (OCR): A Comprehensive Literature Review, IEEE Access 8 (2020), 142642, IEEE Publishing, USA.


  29. D. Yadav, R.K. Garg, D. Chhabra, R. Yadav, A. Kumar, P. Shukla, Smart Diagnostic Devices Through Artificial Intelligence and Mechanobiological Approaches, 3Biotech 10(8): 351 (2020), Springer.


  30. F. Drewes, B. Hoffmann, M. Minas, Formalizations and Correctness of Predictive Shift-Reduce Parsers for Graph Grammars Based on Hyperedge Replacement, Journal of Logical and Algebraic Methods in Programming 104 (2019), Elsevier Science, The Netherlands, 303-341.


  31. Y. Li, J. Huang, F. Tlan, H.A. Wang, G.Z. Dai, Gesture Interaction in Virtual Reality, Virtual Reality and Intelligent Hardware 1 (2019), Elsevier Science, The Netherlands, 84-112.


  32. E. Seeram, Digital Radiography, Springer International, Singapore, 2019.


  33. D. Dahmani, S. Larabi, M. Cheref, Efficient Representation of Size Functions Based on Moments Theory, Multimedia Tools and Applications 78 (2019), Springer International, Switzerland, 27957-27982.


  34. K. C. Santosh, Document Image Analysis, Springer International, Singapore, 2018.


  35. M. Al-wswasi, A. Ivanov, H. Makatsoris, A Survey on Smart Automated Computer-Aided Process Planning (ACAPP) Techniques, The International Journal of Advanced Manufacturing Technology 97 (2018), Springer-Verlag, London, 809-832.


  36. T. de Montbrial, Living in Troubled Times: A New Political Era, World Scientific, New Jersey - London - Singapore, 2018.


  37. B. Xing, T. Marwala, Smart Maintenance for Human-Robot Interaction, Springer International, Switzerland, 2018.


  38. M. A. Sanchez, L. Aguilar, M. Castanon-Puga, A. Rodriguez-Diaz, Computer Science and Engineering - Theory and Applications, Springer International, Switzerland, 2018.


  39. U. Kose, G. E. Guraskin, O. Deperlioglu, Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems, IGI Global, Hershey, PA, 2018.


  40. C. Eldridge, C. Hobbs, M. Moran, Fusing algorithms and analysts: open-source intelligence in the age of "Big Data", Intelligence and National Security 12 (2017), Taylor & Francis, 1-16.


  41. H. Fernau, M. Paramasivan, D.G. Thomas, Picture Scanning Automata, Lecture Notes in Computer Science 10149 (2017), Springer-Verlag, Berlin - Heidelberg, Germany, 132-147.


  42. A. Pena-Ayala, L. A. Cardenas-Robledo, H. Sossa, Learning Analytics: Fundamentals, Applications and Trends, Springer International, Switzerland, 2017.


  43. X. Li, H. Jiang, Artificial intelligence technology and engineering applications, ACES Journal 32 (2017), 381-388.


  44. G. Kurubacak, H. Altipulluk, Mobile Technologies and Augmented Reality in Open Education, IGI Global, Hershey, PA, 2017.


  45. J. H. Lee, Morphological Analysis of Cultural DNA, Springer International, Singapore, 2017.


  46. H. Cheng, L. Yang, Z. Liu, Survey on 3D Hand Gesture Recognition, IEEE Trans. Circuits and Systems for Video Technology 26 (2016), IEEE Publishing, New York, USA, 1659-1673.


  47. K. Pattanaworapan, K. Chamnongthai, J.-M. Guo, Signer-Independence Finger Alphabet Recognition Using Discrete Wavelet Transform and Area Level Run Lengths, Journal of Visual Communication and Image Representation 38 (2016), Elsevier Science, The Netherlands, 658-677.


  48. J. Sidorova, J. Garcia, Bridging from Syntactic to Statistical Methods: Classification with Automatically Segmented Features from Sequences, Pattern Recognition 48 (2015), Elsevier Science, The Netherlands, 3749-3756.


  49. L. Kane, P. Khanna, A Framework for Live and Cross Platform Fingerspelling Recognition Using Modified Shape Matrix Variants on Depth Silhouettes, Computer Vision and Image Understanding 141 (2015), Elsevier Science, The Netherlands, 138-151.


  50. P. Cupiał, Ł. Łacny, Neural Network Control Design Considerations for the Active Damping of a Smart Beam, Journal of Theoretical and Applied Mechanics 53 (2015), 767-774.


  51. E. Stergiopoulou et al., Real Time Hand Detection in a Complex Background, Engineering Applications of Artificial Intelligence 35 (2014), Elsevier Science, The Netherlands, 54-70.


  52. J. Cui. M.-X. Tang, Integrating Shape Grammars into a Generative System for Zhuang Ethnic Embroidery Design Exploration, Computer-Aided Design 45 (2013), Elsevier Science, The Netherlands, 591-604.


  53. S. Hamdi, A.B. Abdallah, M.H. Bedoni, Novel Technique for Image Segmentation Based on Grammar Parsing and Hilbert Transform, Lecture Notes in Computer Science 7950 (2013), Springer-Verlag, Berlin-Heidelberg, Germany, 346-353.


  54. C. Kim, On the Structure of Linear Apex NLC Graph Grammars, Theoretical Computer Science 438 (2012), Elsevier Science, The Netherlands, 28-33.


  55. M. Kessentini, H. Sahraoui, M. Boukadoum, O. B. Omar, Search-Based Model Transformation by Example, Software and Systems Modeling 11 (2012), Springer-Verlag, Berlin - Heidelberg, Germany, 209-226.


  56. G.W. Wang, C. Zhang, J. Zhuang, An Application of Classifier Combination Methods in Hand Gesture Recognition, Mathematical Problems in Engineering 2012 (2012), 1-17.


  57. A.J. Gallego-Sanchez, J. Calera-Rubio, D. Lopez, Structural Graph Extraction from Images, Advances in Intelligence and Soft Computing 151 (2012), Springer-Verlag, Berlin - Heidelberg, Germany, 717-724.


  58. R.M. Benedito, M.M. Sober, J.M. Martinez, P. E. Montero, J.V. Frances, Intelligent Data Analysis for Real-Life Applications: Theory and Practice, IGI Global, Hershey, PA, USA, 2012.


  59. L. Furst, M. Mernik, V. Mahnic, Improving the Graph Grammar Parser of Rekers and Schurr, IET Software 5 (2011), Institute of Engineering and Technology (IET) Publishers, United Kingdom, 246-261.


  60. R. Abdullah, A.T. Khader, I. Venkat, L.P. Wong, K.G. Subramanian, Bio-Inspired Computing, IEEE Computer Society, Los Alamitos, CA, USA, 2011.


  61. Y.J Liu, K.L. Lai, G. Dai, M.M.F. Yuen, A Semantic Feature Model in Concurrent Engineering, IEEE Trans. Automation Science and Engineering 7 (2010), IEEE, USA, 659-665.


  62. K.C. Santosh, L. Wendling, Graphical Symbol Recognition, in: Wiley Encyclopedia of Electrical and Electronics Engineering, John Wiley & Sons, Hoboken, NJ, USA, 2010.


  63. L. Faria et al., An Improved Upper Bound on the Crossing Number of the Hypercube, Journal of Graph Theory 59 (2008), John Wiley & Sons, USA, 145-161.


  64. F. Danesi, N. Gardan, Y. Gardan, M. Reimeringer, P4LM: A Methodology for Product Lifecycle Management, Computers in Industry 59 (2008), Elsevier Science, Amsterdam, The Netherlands, 304-317.


  65. M. Kessentini, H. Sahraoui, M. Boukadoum, Model Transformation as an Optimization Problem, Lecture Notes in Computer Science 5301 (2008), Springer-Verlag, Berlin - Heidelberg, Germany, 159-173.


  66. E.J. Hill, C.M. Griffiths, Formal Description of Sedimentary Architecture of Analogue Models for Use in 2D Reservoir Simulation, Marine and Petroleum Geology 25 (2008), Elsevier Science, The Netherlands, 131-141.


  67. Li Xing-hua Dan, Bin Zhou Jin-ying, Research of the Product Family Configuration System Based on Graph Grammar and Its Modelling, Industrial Engineering Journal 10 (2007), 63-66.


  68. M. Garetti, P.D. Ball, S. Terzi, S. Han, Product Lifecycle Management, Inderscience Enterprises, Geneva, Switzerland, 2007.


  69. Z. Kulas, E.M. Beres-Pawlik, T. Krecicki, Numerical Analysis of Endoscopic Autofluorescence Imaging for Cancerous Tissue Detection, Journal of Non-Crystalline Solids 352 (2006), Elsevier Science, The Netherlands, 2468-2475.


  70. M. Sarfraz, Computer-Aided Intelligent Recognition, John Wiley & Sons, Chichester, United Kingdom, 2005.


  71. J.A. Makowsky, Algorithmic Uses of the Feferman-Vaught Theorem, Annals of Pure and Applied Logic 126 (2004), Elsevier Science, Amsterdam, The Netherlands, 159-213.


  72. H.L. Bodlaender, Graph-Theoretic Concepts in Computer Science, Springer-Verlag, Berlin - Heidelberg, 2003.


  73. P.G. Ducksbury, C. Kennedy, Z. Lock, Exploration of Picture Grammars, Grammar Learning, and Inductive Logic Programming for Image Understanding, Proceedings of SPIE 5094 (2003), Society of Photo-Optical Instrumentation Engineers Publishers, Bellingham, WA, USA, 386-399.


  74. A. Glikson, J.A. Makowsky, NCE Graph Grammars and Clique-Width, Lecture Notes in Computer Science 2880 (2003), Springer-Verlag, Berlin - Heidelberg, Germany, 237-248.


  75. P. Fletcher, Connectionist Learning of Regular Graph Grammars, Connection Science 13 (2001), Taylor & Francis, United Kingdom, 127-188.


  76. J. Mackerle, 2D and 3D Finite Element Meshing and Remeshing, Engineering Computations 18 (2001), Emerald Publishing, Bingley, United Kingdom, 1108-1197.


  77. C.K. Au, M.M.F. Yuen, A Semantic Feature Language for Sculptured Object Modelling, Computer-Aided Design 32 (2000), Butterworth-Heinemann/ Elsevier Science, Oxford, United Kingdom, 63-74.


  78. A. Webb, Statistical Pattern Recognition, Arnold, London/Oxford University Press, New York, 1999.


  79. D. Ben-Arieh, Geometrical Reasoning Based on Attributed Graph Grammar for Prismatic Parts, IIE Transactions 31 (1999), Springer-Verlag, Berlin - Heidelberg, Germany, 61-74.


  80. G. Costagliola, S. K. Chang, Using Linear Positional Grammars for the LR Parsing of 2-D Symbolic Languages, Grammars 2 (1999), Kluwer Academic Publishers, The Netherlands, 1-34.


  81. C. T. Leondes, Neural Networks Systems, Techniques and Applications: Implementation Techniques, Academic Press, San Diego, CA, USA, 1998.


  82. K. Marriott, B.E. Meyer, Visual Language Theory, Springer-Verlag, Berlin - Heidelberg, 1998.


  83. M. Venguerov, P. Cunningham, Generalised Syntactic Pattern Recognition as a Unifying Approach in Image Analysis, Lecture Notes in Computer Science 1451 (1998), Springer-Verlag, Berlin - Heidelberg, Germany, 913-920.


  84. M. Galicki, H. Witte, J. Dorschel, M. Eiselt, G. Griessbach, Common Optimization of Adaptive Preprocessing Units and a Neural Network during the Learning Period - Application in EEG Pattern Recognition, Neural Networks 10 (1997), Elsevier Science, The Netherlands, 1153-1163.


  85. V. Milanese, Interpreting R-Sets, S-Sets and Features by Denotational Semantics, ACM Sigplan Notices 31 (1996), ACM, USA, 40-47.


  86. H. Bunt, M. Tomita, Recent Advances in Parsing Technology, Springer-Verlag, Berlin - Heidelberg, 1996.


  87. R. Carlin, W.H. Smith, K. Tokushuku, L.W. Wiggers, The Trigger of ZEUS: A Flexible System for a High Bunch Crossing Rate Collider, Nuclear Instruments and Methods in Physics Research (A) 379 (1996), 542-544, Elsevier Science, The Netherlands, 542-544.


  88. E. Tanaka, Theoretical Aspects of Syntactic Pattern Recognition, Pattern Recognition 28 (1995), Pergamon Press - Elsevier Science, Oxford, United Kingdom, 1053-1061.


  89. D. J. Davenport, Object-Oriented Visual Programming Language, US Army Missile Command, Redstone Arsenal, AL/SNAP Technologies, Inc., Etna, NY, October 1995.


  90. K. Aizawa, A. Nakamura, Path-Controlled Graph Grammars for Syntactic Pattern Recognition, International Journal of Pattern Recognition and Artificial Intelligence 8(2) (1994), World Scientific, 485-500.


  91. A.N. Clark, Pattern Recognition of Noisy Sequences of Behavioural Events Using Functional Combinators, The Computer Journal 37 (1994), Oxford University Press, Oxford, United Kingdom, 385-398.


  92. K. Inoue, A. Nakamura, M. Nivat, Parallel Image Analysis and Processing, World Scientific, Singapore - New Jersey - London - Hong Kong 1994.


  93. M. Tucci, G. Vitiello, G. Costagliola, Parsing Nonlinear Languages, IEEE Trans. Software Engineering 20 (1994), IEEE Publishing, New York, USA, 720-739.


  94. S. Collin, D. Colnet, Syntactic Analysis of Technical Drawing Dimensions, International Journal of Pattern Recognition and Artificial Intelligence 8(5) (1994), World Scientific, 1131-1148.


  95. C.H. Chen, L.F. Pau, P.S.P. Wang, Handbook of Pattern Recognition and Computer Vision, World Scientific, Singapore - New Jersey - London - Hong Kong 1993.


  96. A. Rosenfeld, Survey. Image Analysis and Computer Vision: 1992, CVGIP: Image Understanding 58 (1993), Academic Press, New York, USA, 85-135.


  97. H.S. Baird, H. Bunke, K. Yamamoto, Structured Document Image Analysis, Springer-Verlag, Berlin - Heidelberg, Germany, 1992.


  98. C. Crimi et al., Relation Grammar and Their Application to Multi-Dimensional Languages, Journal of Visual Languages and Computing 2 (1991), Elsevier Science, The Netherlands, 333-346.


  99. H.O. Bunke, B. Haller, A Parser for Context Free Plex Grammars, Lecture Notes in Computer Science 411 (1990), Springer-Verlag, Berlin - Heidelberg, Germany, 136-150.


  100. K.J. Peng, T. Yamamoto, Y. Aoki, A New Parsing Scheme for Plex Grammars, Pattern Recognition 23 (1990), Pergamon Press - Elsevier Science, Oxford, United Kingdom, 393-402.