Статті в журналах з теми "Classification supervisée possibiliste"
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Biondi, Riccardo, Nico Curti, Francesca Coppola, Enrico Giampieri, Giulio Vara, Michele Bartoletti, Arrigo Cattabriga, et al. "Classification Performance for COVID Patient Prognosis from Automatic AI Segmentation—A Single-Center Study." Applied Sciences 11, no. 12 (June 11, 2021): 5438. http://dx.doi.org/10.3390/app11125438.
Madhu, Anjali, Anil Kumar, and Peng Jia. "Exploring Fuzzy Local Spatial Information Algorithms for Remote Sensing Image Classification." Remote Sensing 13, no. 20 (October 18, 2021): 4163. http://dx.doi.org/10.3390/rs13204163.
Amiryousefi, Ali, Ville Kinnula, and Jing Tang. "Bayes in Wonderland! Predictive Supervised Classification Inference Hits Unpredictability." Mathematics 10, no. 5 (March 5, 2022): 828. http://dx.doi.org/10.3390/math10050828.
Singh, Abhishek, and Anil Kumar. "Introduction of Local Spatial Constraints and Local Similarity Estimation in Possibilistic c-Means Algorithm for Remotely Sensed Imagery." Journal of Modeling and Optimization 11, no. 1 (June 15, 2019): 51–56. http://dx.doi.org/10.32732/jmo.2019.11.1.51.
Jankowski, Maciej. "Deep Generative Model with Supervised Latent Space for Text Classification." MATEC Web of Conferences 292 (2019): 03009. http://dx.doi.org/10.1051/matecconf/201929203009.
Adamiak, Krzysztof, Piotr Duch, and Krzysztof Ślot. "Object Classification Using Support Vector Machines with Kernel-based Data Preprocessing." Image Processing & Communications 21, no. 3 (September 1, 2016): 45–53. http://dx.doi.org/10.1515/ipc-2016-0015.
Jing-Yu, Chen, and Wang Ya-Jun. "Semi-Supervised Fake Reviews Detection based on AspamGAN." March 2022 4, no. 1 (March 30, 2022): 17–36. http://dx.doi.org/10.36548/jaicn.2022.1.002.
Babushka, Andriy, Lyubov Babiy, Borys Chetverikov, and Andriy Sevruk. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 94, 2021, no. 94 (December 28, 2021): 35–43. http://dx.doi.org/10.23939/istcgcap2021.94.035.
Mehta, Kushal, Arshita Jain, Jayalakshmi Mangalagiri, Sumeet Menon, Phuong Nguyen, and David R. Chapman. "Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs." Journal of Digital Imaging 34, no. 3 (February 2, 2021): 647–66. http://dx.doi.org/10.1007/s10278-020-00417-y.
Angulo-Saucedo, Gilbert A., Jersson X. Leon-Medina, Wilman Alonso Pineda-Muñoz, Miguel Angel Torres-Arredondo, and Diego A. Tibaduiza. "Damage Classification Using Supervised Self-Organizing Maps in Structural Health Monitoring." Sensors 22, no. 4 (February 15, 2022): 1484. http://dx.doi.org/10.3390/s22041484.
Andreeva, Elena E. "APPLICATION OF A RISK-ORIENTED MODEL FOR THE REDISTRIBUTION OF STAFFING RESOURCES OF THE OFFICE OF SERVICE FOR SUPERVISION OF CONSUMER RIGHTS PROTECTION AND HUMAN WELFARE IN THE CITY OF MOSCOW." Hygiene and sanitation 97, no. 5 (May 15, 2018): 441–44. http://dx.doi.org/10.18821/0016-9900-2018-97-5-441-444.
Mylona, Eleftheria, Vassiliki Daskalopoulou, Olga Sykioti, Konstantinos Koutroumbas, and Athanasios Rontogiannis. "Classification of Sentinel-2 Images Utilizing Abundance Representation." Proceedings 2, no. 7 (March 22, 2018): 328. http://dx.doi.org/10.3390/ecrs-2-05141.
Grilli, E., F. Poux, and F. Remondino. "UNSUPERVISED OBJECT-BASED CLUSTERING IN SUPPORT OF SUPERVISED POINT-BASED 3D POINT CLOUD CLASSIFICATION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 471–78. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-471-2021.
Mudinas, Andrius, Dell Zhang, and Mark Levene. "Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora." Transactions of the Association for Computational Linguistics 6 (December 2018): 269–85. http://dx.doi.org/10.1162/tacl_a_00020.
Baardman, Rolf H., and Rob F. Hegge. "Machine learning approaches for use in deblending." Leading Edge 39, no. 3 (March 2020): 188–94. http://dx.doi.org/10.1190/tle39030188.1.
Ayogu, I. I. "Exploring multinomial naïve Bayes for Yorùbá text document classification." Nigerian Journal of Technology 39, no. 2 (July 16, 2020): 528–35. http://dx.doi.org/10.4314/njt.v39i2.23.
ARMANO, GIULIANO, and FRANCESCO MASCIA. "A NOVEL METHOD FOR PARTITIONING FEATURE SPACES ACCORDING TO THEIR INHERENT CLASSIFICATION COMPLEXITY." International Journal of Pattern Recognition and Artificial Intelligence 27, no. 02 (March 2013): 1350007. http://dx.doi.org/10.1142/s0218001413500079.
Sabeti, Behnam, Hossein Abedi Firouzjaee, Reza Fahmi, Saeid Safavi, Wenwu Wang, and Mark D. Plumbley. "Credit Risk Rating Using State Machines and Machine Learning." International Journal of Trade, Economics and Finance 11, no. 6 (December 2020): 163–68. http://dx.doi.org/10.18178/ijtef.2020.11.6.683.
Rajendran, Sangeetha, and B. Kalpana. "Improvised Admissible Kernel Function for Support Vector Machines in Banach Space for Multiclass Data." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 2 (October 10, 2013): 2273–78. http://dx.doi.org/10.24297/ijct.v11i2.1173.
Waleed, Muhammad, Tai-Won Um, Tariq Kamal, and Syed Muhammad Usman. "Classification of Agriculture Farm Machinery Using Machine Learning and Internet of Things." Symmetry 13, no. 3 (March 1, 2021): 403. http://dx.doi.org/10.3390/sym13030403.
Hayashi, Haruo, Rajib Shaw, and Brian Doherty. "Exploring the Possibility of an Online Synthesis System for Disaster Risk Reduction as a Tool to Promote “Consilience” of Knowledge and Practice." Journal of Disaster Research 13, no. 7 (December 1, 2018): 1213–21. http://dx.doi.org/10.20965/jdr.2018.p1213.
Abusnaina, Ahmed A., Rosni Abdullah, and Ali Kattan. "Self-Adaptive Mussels Wandering Optimization Algorithm with Application for Artificial Neural Network Training." Journal of Intelligent Systems 29, no. 1 (February 21, 2018): 345–63. http://dx.doi.org/10.1515/jisys-2017-0292.
Mustakim, Mustakim, Novia Kumala Sari, Jasril Jasril, Ismu Kusumanto, and Nurul Gayatri Indah Reza. "Eigenvalue of Analytic Hierarchy Process as The Determinant for Class Target on Classification Algorithm." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 3 (December 1, 2018): 1257. http://dx.doi.org/10.11591/ijeecs.v12.i3.pp1257-1264.
Deur, Martina, Mateo Gašparović, and Ivan Balenović. "Tree Species Classification in Mixed Deciduous Forests Using Very High Spatial Resolution Satellite Imagery and Machine Learning Methods." Remote Sensing 12, no. 23 (November 30, 2020): 3926. http://dx.doi.org/10.3390/rs12233926.
Strodthoff, Nils, Patrick Wagner, Markus Wenzel, and Wojciech Samek. "UDSMProt: universal deep sequence models for protein classification." Bioinformatics 36, no. 8 (January 8, 2020): 2401–9. http://dx.doi.org/10.1093/bioinformatics/btaa003.
Lewiński, Stanisław, and Karol Zaremski. "Examples of Object-Oriented Classification Performed on High-Resolution Satellite Images." Miscellanea Geographica 11, no. 1 (December 1, 2004): 349–58. http://dx.doi.org/10.2478/mgrsd-2004-0037.
Damousis, I. G., S. Argyropoulos, and A. Muzet. "Classification of Physiology Indicators for the Automatic Detection of Potentially Hazardous Physiological States." Applied Computational Intelligence and Soft Computing 2011 (2011): 1–8. http://dx.doi.org/10.1155/2011/135681.
Vinciková, Hana, Jan Procházka, and Jakub Brom. "Timely identification of agricultural crops in the Temelín NPP vicinity using satellite data in the event of radiation contamination." Journal of Agrobiology 27, no. 2 (December 1, 2010): 73–83. http://dx.doi.org/10.2478/s10146-009-0014-z.
Alevizos, Evangelos, and Jens Greinert. "The Hyper-Angular Cube Concept for Improving the Spatial and Acoustic Resolution of MBES Backscatter Angular Response Analysis." Geosciences 8, no. 12 (November 30, 2018): 446. http://dx.doi.org/10.3390/geosciences8120446.
Du, Yang, Ke Yan, Zixiao Ren, and Weidong Xiao. "Designing Localized MPPT for PV Systems Using Fuzzy-Weighted Extreme Learning Machine." Energies 11, no. 10 (October 1, 2018): 2615. http://dx.doi.org/10.3390/en11102615.
Tarunamulia, Tarunamulia, Jesmond Sammut, and Akhmad Mustafa. "PERBAIKAN METODE IDENTIFIKASI POTENSI PENGEMBANGAN LAHAN UNTUK TAMBAK AIR PAYAU SISTEM EKSTENSIF LEWAT INTEGRASI LOGIKA SAMAR DAN PENGINDERAAN JAUH." Jurnal Riset Akuakultur 5, no. 2 (November 25, 2016): 317. http://dx.doi.org/10.15578/jra.5.2.2010.317-323.
Katkovsky, Leonid, Boris Beliaev, Volha Siliuk, Mikhail Beliaev, Erik Sarmin, and Yurii Davidovich. "Remote spectral methods for detecting stress coniferous." E3S Web of Conferences 223 (2020): 02004. http://dx.doi.org/10.1051/e3sconf/202022302004.
Saeed, Sawza Saadi, and Raghad Zuhair Yousif. "A Slantlet based Statistical Features Extraction for Classification of Normal, Arrhythmia, and Congestive Heart Failure in Electrocardiogram." UHD Journal of Science and Technology 5, no. 1 (June 10, 2021): 71–81. http://dx.doi.org/10.21928/uhdjst.v5n1y2021.pp71-81.
Sarkar, Jyotirmoy, Kartik Bhatia, Snehanshu Saha, Margarita Safonova, and Santonu Sarkar. "Postulating exoplanetary habitability via a novel anomaly detection method." Monthly Notices of the Royal Astronomical Society 510, no. 4 (December 13, 2021): 6022–32. http://dx.doi.org/10.1093/mnras/stab3556.
Acharki, Siham, Mina Amharref, Pierre-Louis Frison, and Abdes Samed Bernoussi. "CARTOGRAPHIE DES CULTURES DANS LE PÉRIMÈTRE DU LOUKKOS (MAROC) : APPORT DE LA TÉLÉDÉTECTION RADAR ET OPTIQUE." Revue Française de Photogrammétrie et de Télédétection, no. 222 (November 26, 2020): 15–29. http://dx.doi.org/10.52638/rfpt.2020.481.
Gómez, Catalina, Mauricio Neira, Marcela Hernández Hoyos, Pablo Arbeláez, and Jaime E. Forero-Romero. "Classifying image sequences of astronomical transients with deep neural networks." Monthly Notices of the Royal Astronomical Society 499, no. 3 (October 2, 2020): 3130–38. http://dx.doi.org/10.1093/mnras/staa2973.
Pham, Dang, and Lisa Kaltenegger. "Color classification of Earth-like planets with machine learning." Monthly Notices of the Royal Astronomical Society 504, no. 4 (April 23, 2021): 6106–16. http://dx.doi.org/10.1093/mnras/stab1144.
Alcaras, E., P. P. Amoroso, C. Parente, and G. Prezioso. "REMOTELY SENSED IMAGE FAST CLASSIFICATION AND SMART THEMATIC MAP PRODUCTION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W5-2021 (December 23, 2021): 43–50. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w5-2021-43-2021.
Baur, Tobias, Alexander Heimerl, Florian Lingenfelser, Johannes Wagner, Michel F. Valstar, Björn Schuller, and Elisabeth André. "eXplainable Cooperative Machine Learning with NOVA." KI - Künstliche Intelligenz 34, no. 2 (January 19, 2020): 143–64. http://dx.doi.org/10.1007/s13218-020-00632-3.
di Donato, Francesca, and Luciano Nieddu. "Corporate failure: Bankruptcy prediction for Italian SMEs based on a longitudinal case study from 2000 to 2011." Corporate Ownership and Control 17, no. 3 (2020): 27–33. http://dx.doi.org/10.22495/cocv17i3art2.
Harris, Patricia M., Raymond Gingerich, and Tiffany A. Whittaker. "The “Effectiveness” of Differential Supervision." Crime & Delinquency 50, no. 2 (April 2004): 235–71. http://dx.doi.org/10.1177/0011128703258939.
Kubus, Mariusz. "The Problem of Redundant Variables in Random Forests." Acta Universitatis Lodziensis. Folia Oeconomica 6, no. 339 (February 13, 2019): 7–16. http://dx.doi.org/10.18778/0208-6018.339.01.
Shimizu, Ayame, and Kei Wakabayash. "Effect of Label Redundancy in Crowdsourcing for Training Machine Learning Models." Journal of Data Intelligence 3, no. 3 (August 2022): 301–15. http://dx.doi.org/10.26421/jdi3.3-1.
Olago, Victor, Mazvita Muchengeti, Elvira Singh, and Wenlong C. Chen. "Identification of Malignancies from Free-Text Histopathology Reports Using a Multi-Model Supervised Machine Learning Approach." Information 11, no. 9 (September 21, 2020): 455. http://dx.doi.org/10.3390/info11090455.
Zhang, Hao, Haifeng Sun, Ling Wang, Shun Wang, Wei Zhang, and Jiandong Hu. "Near Infrared Spectroscopy Based on Supervised Pattern Recognition Methods for Rapid Identification of Adulterated Edible Gelatin." Journal of Spectroscopy 2018 (December 20, 2018): 1–9. http://dx.doi.org/10.1155/2018/7652592.
Campos, Sérgio, Edson Luís Piroli, Célia Regina Lopes Zimback, and João Batista Tolentino Rodrigues. "AVALIAÇÃO DO USO DA TERRA EM MICROBACIA UTILIZANDO UMA MATRIZ DE PARTIÇÃO FUZZY." IRRIGA 12, no. 2 (August 10, 2007): 216–24. http://dx.doi.org/10.15809/irriga.2007v12n2p216-224.
Herrera-Alcántara, Oscar, Ari Barrera-Animas, Miguel González-Mendoza, and Félix Castro-Espinoza. "Monitoring Student Activities with Smartwatches: On the Academic Performance Enhancement." Sensors 19, no. 7 (April 3, 2019): 1605. http://dx.doi.org/10.3390/s19071605.
CABRERA CABAÑAS, REINIER, FRANCISCO LUNA ROSAS, JULIO CESAR MARTINEZ ROMO, CLAUDIO FRAUSTRO REYES, and Marco Antonio Hernandez Vargas. "ADAPTATIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) APPLIED ON RAMAN SPECTROSCOPY SIGNALS TO DECIPHER AND CLASSIFY HEALTHY AND DAMAGED BREAST CANCER TISSUE." DYNA NEW TECHNOLOGIES 9, no. 1 (September 22, 2022): [13P.]. http://dx.doi.org/10.6036/nt10557.
Martinez, Beatriz, Raquel Leon, Himar Fabelo, Samuel Ortega, Juan F. Piñeiro, Adam Szolna, Maria Hernandez, et al. "Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging." Sensors 19, no. 24 (December 12, 2019): 5481. http://dx.doi.org/10.3390/s19245481.
Lang, Frederique, Diego Chavarro, and Yuxian Liu. "Can Automatic Classification Help to Increase Accuracy in Data Collection?" Journal of Data and Information Science 1, no. 3 (September 1, 2017): 42–58. http://dx.doi.org/10.20309/jdis.201619.