Výsledky vyhledávání - Modified Fuzzy c-Means Algorithm with Supervision

Towards Code Smell Detection: A Multiphase Methodology Using Fuzzy Logic-based Feature Selection

Autoři: Monteiro, Bruno Miguel Gonçalves Pombo, Nuno Gonçalo Coelho Costa uBibliorum

Přispěvatelé: Monteiro, Bruno Miguel Gonçalves Pombo, Nuno Gonçalo Coelho Costa uBibliorum

Zdroj: urn:tid:204026741

Témata: Qualidade de Software, Code Smells, Engenharia de Software, Modified Fuzzy c-Means Algorithm with Supervision, Seleção de Caraterísticas

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10400.6/19032

Feature selection based on a modified fuzzy C-means algorithm with supervision

Autoři: MARCELLONI, FRANCESCO

Zdroj: Information Sciences. 151:201-226

Témata: Computing methodologies and applications, Pattern recognition, speech recognition, Feature selection, Learning and adaptive systems in artificial intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, \(k\)-Nearest neighbors, Feature selection, Fuzzy C-means, k-Nearest neighbors, Supervised learning, Fuzzy C-means, Supervised learning

Popis souboru: application/xml

A modified fuzzy C-means algorithm for feature selection

Autoři: FROSINI, GRAZIANO LAZZERINI, BEATRICE MARCELLONI, FRANCESCO

Zdroj: PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500). :148-152

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://arpi.unipi.it/handle/11568/193961

Fuzzy C‐means clustering algorithm based on superpixel merging and multi‐feature adaptive fusion measurement.

Autoři: Zeyu, Xie Xiao, Luo Defang, Zhao a další

Zdroj: IET Image Processing (Wiley-Blackwell); 1/10/2024, Vol. 18 Issue 1, p140-153, 14p

Témata: PIXELS, IMAGE segmentation, ALGORITHMS, FUZZY algorithms, BRAIN tumors, INFORMATION measurement, INFORMATION resources

Rapid brain tissue segmentation process by modified FCM algorithm with CUDA enabled GPU machine.

Autoři: Kalaiselvi, T. Sriramakrishnan, P.

Zdroj: International Journal of Imaging Systems & Technology. Sep2018, Vol. 28 Issue 3, p163-174. 12p.

Témata: *BIAS correction (Topology), *FUZZY algorithms, *SUPERVISION, *GRAPHICS processing units, *SUPPORT vector machines

Enhancing Stability of the Weakly Supervised Regression Algorithm Using Manifold Regularization and Fuzzy Clustering.

Autoři: Kalmutskiy, K. Berikov, V.

Zdroj: Pattern Recognition & Image Analysis; Mar2025, Vol. 35 Issue 1, p16-18, 3p

Semi-Supervised Soft Computing for Ammonia Nitrogen Using a Self-Constructing Fuzzy Neural Network with an Active Learning Mechanism.

Autoři: Zhou, Hongbiao Huang, Yang Yang, Dan a další

Zdroj: Water (20734441); Oct2024, Vol. 16 Issue 20, p3001, 26p

Témata: FUZZY neural networks, STANDARD deviations, SOFT computing, K-means clustering, WATER quality

A rapid knowledge‐based partial supervision fuzzy c‐means for brain tissue segmentation with CUDA‐enabled GPU machine.

Autoři: Sriramakrishnan, Padmanaban Kalaiselvi, Thiruvenkadam Somasundaram, Karuppanagounder a další

Zdroj: International Journal of Imaging Systems & Technology; Dec2019, Vol. 29 Issue 4, p547-560, 14p

Detection of Anxiety-Based Epileptic Seizures in EEG Signals Using Fuzzy Features and Parrot Optimization-Tuned LSTM.

Autoři: Palanisamy, Kamini Kamakshi Rengaraj, Arthi

Zdroj: Brain Sciences (2076-3425); Aug2024, Vol. 14 Issue 8, p848, 17p

Témata: EPILEPSY, DATA augmentation, SHORT-term memory, FEATURE extraction, SIGNAL processing

Conditional spatial biased intuitionistic clustering technique for brain MRI image segmentation.

Autoři: Arora, Jyoti Altuwaijri, Ghadir Nauman, Ali a další

Zdroj: Frontiers in Computational Neuroscience; 2024, p1-13, 13p

Témata: MAGNETIC resonance imaging, BRAIN imaging, MAGNETIC resonance, MEDICAL research, DIAGNOSTIC imaging, IMAGE segmentation

The expression of genes in different sites of gut tract regulates the meat quality of semitendinosus muscle in sheep and goats.

Autoři: Chen, Binlong Huang, Zhiying Cai, Zhongkun a další

Zdroj: Frontiers in Veterinary Science. 2025, p1-15. 15p.

Iterative Fuzzy Clustering Algorithm With Supervision to Construct Probabilistic Fuzzy Rule Base From Numerical Data.

Autoři: Hyong-Euk Lee Kwang-Hyun Park Zeungnam Zenn Bien

Zdroj: IEEE Transactions on Fuzzy Systems; Feb2008, Vol. 16 Issue 1, p263-277, 15p

Témata: ARTIFICIAL intelligence, MACHINE learning, STATISTICAL correlation, FUZZY systems, FUZZY automata, FUZZY logic

Hybrid fuzzy clustering technique to enhance the performance based on a fusion of intuitionistic modified fuzzy c-means and improved genetic algorithm.

Autoři: Kumar, Niteesh Kumar, Harendra Sharma, Dipa

Zdroj: International Journal of Data Science & Analytics; Aug2025, Vol. 20 Issue 2, p763-786, 24p

CAS-SFCM: Content-Aware Image Smoothing Based on Fuzzy Clustering with Spatial Information.

Autoři: Antunes-Santos, Felipe Lopez-Molina, Carlos Mendioroz, Maite a další

Zdroj: Journal of Imaging; Jun2025, Vol. 11 Issue 6, p173, 19p

A modified fuzzy clustering algorithm based on dynamic relatedness model for image segmentation.

Autoři: Gao, Xin Zhang, Yan Wang, Hua a další

Zdroj: Visual Computer; Apr2023, Vol. 39 Issue 4, p1583-1596, 14p

Témata: FUZZY algorithms, OBJECT recognition (Computer vision), DYNAMIC models, COMPUTER vision, IMAGE segmentation, VISUAL fields

A modified fuzzy C-means algorithm for feature selection.

Autoři: Frosini, G. Lazzerini, B. Marcelloni, F.

Zdroj: PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500); 2000, p148-152, 5p

Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks.

Autoři: Isaac, R. Augustian Sundaravadivel, P. Marx, V. S. Nici a další

Zdroj: Scientific Reports; 3/19/2025, Vol. 15 Issue 1, p1-18, 18p

An ensemble algorithm integrating consensus-clustering with feature weighting based ranking and probabilistic fuzzy logic-multilayer perceptron classifier for diagnosis and staging of breast cancer using heterogeneous datasets.

Autoři: Chatterjee, Subhashis Das, Ananya

Zdroj: Applied Intelligence; Jun2023, Vol. 53 Issue 11, p13882-13923, 42p

Témata: CLASSIFICATION algorithms, DECISION trees, CANCER diagnosis, FEATURE selection, SELF-organizing maps, MISSING data (Statistics), EARLY detection of cancer

Automatic Unsupervised Segmentation Methods for MRI Based on Modified Fuzzy C-Means.

Autoři: Kai Xiao Sooi Hock Ho Hassanien, Aboul ella

Zdroj: Fundamenta Informaticae; 2008, Vol. 87 Issue 3-4, p465-481, 17p, 7 Black and White Photographs, 5 Charts, 1 Graph

Témata: MAGNETIC resonance imaging, IMAGE processing, MEDICAL imaging systems, FUZZY mathematics, MATHEMATICAL analysis

A Novel Color Image Segmentation Approach Based on Neutrosophic Set and Modified Fuzzy c-Means.

Autoři: Guo, Yanhui Sengur, Abdulkadir

Zdroj: Circuits, Systems & Signal Processing; Aug2013, Vol. 32 Issue 4, p1699-1723, 25p

Témata: IMAGE segmentation, COLOR image processing, PATTERN recognition systems, COMPUTER vision, ALGORITHMS