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Publication search results
found 57 matches
- 2024
- Atul B. Kathole, Kapil Netaji Vhatkar, Sonali D. Patil:
IoT-Enabled Pest Identification and Classification with New Meta-Heuristic-Based Deep Learning Framework. Cybern. Syst. 55(2): 380-408 (2024) - Guillaume Lefebvre, Haytham Elghazel, Théodore Guillet, Alexandre Aussem, Matthieu Sonnati:
A new sentence embedding framework for the education and professional training domain with application to hierarchical multi-label text classification. Data Knowl. Eng. 150: 102281 (2024) - Shi Yuan, Ningning Liu, Bo Sun, Chen Zhao:
A domain-knowledge based reconstruction framework for out-of-domain news title classification. Expert Syst. Appl. 237(Part B): 121483 (2024) - Pierre Raimbaud, Jaime Camilo Espitia Castillo, John A. Guerra-Gomez:
Extracting and visualizing a new classification system for Colombia's National Administrative Department of Statistics. A visual analytics framework case study. CoRR abs/2401.15994 (2024) - 2023
- Ali Noshad, Saeed Fallahi:
A new hybrid framework based on deep neural networks and JAYA optimization algorithm for feature selection using SVM applied to classification of acute lymphoblastic Leukaemia. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1549-1566 (2023) - Sakshiwala, Maheshwari Prasad Singh:
A new framework for multi-scale CNN-based malignancy classification of pulmonary lung nodules. J. Ambient Intell. Humaniz. Comput. 14(5): 4675-4683 (2023) - Bing Tu, Wangquan He, Qianming Li, Yishu Peng, Antonio Plaza:
A New Context-Aware Framework for Defending Against Adversarial Attacks in Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - Abdelhamid Gaddari, Haytham Elghazel, Rakia Jaziri, Mohand-Said Hacid, Pierre-Henri Comble:
A New Time-Aware LSTM based Framework for Multi-label Classification on Healthcare Data. AICCSA 2023: 1-8 - Wai Yip Freddy Wong, Michael Lane:
Critical Success Factors Classification Framework for Measuring Maturity of Organisations using New Generation ERP Systems: A Systematic Literature Review. ICIS 2023 - Bruna Zamith Santos, Balbina Maria Araujo Soriano, Marcelo Gonçalves Narciso, Diego Furtado Silva, Ricardo Cerri:
A New Time Series Framework for Forest Fire Risk Forecasting and Classification. IJCNN 2023: 1-8 - Muhammad Arslan, Christophe Cruz:
Leveraging NLP approaches to define and implement text relevance hierarchy framework for business news classification. KES 2023: 317-326 - Aya Nakamura, Ryosuke Kojima, Yuji Okamoto, Eiichiro Uchino, Yohei Mineharu, Yohei Harada, Mayumi Kamada, Manabu Muto, Motoko Yanagita, Yasushi Okuno:
A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data. CoRR abs/2307.11487 (2023) - 2022
- Razieh Asgarnezhad, S. Amirhassan Monadjemi, Mohammadreza Soltan Aghaei:
A new hierarchy framework for feature engineering through multi-objective evolutionary algorithm in text classification. Concurr. Comput. Pract. Exp. 34(3) (2022) - Qing Han, Chao Yin, Yunyuan Deng, Peilin Liu:
Towards Classification of Architectural Styles of Chinese Traditional Settlements Using Deep Learning: A Dataset, a New Framework, and Its Interpretability. Remote. Sens. 14(20): 5250 (2022) - Juntian Chen, Ruikang Luo:
MetaCNN: A New Hybrid Deep Learning Image-based Approach for Vehicle Classification Using Transformer-like Framework. CSSE 2022: 517-521 - Ahmad Mozaffer Karim:
A new Sparse Auto-encoder based Framework using Grey Wolf Optimizer for Data Classification Problem. CoRR abs/2201.12493 (2022) - 2021
- Ömer Aslan, Abdullah Asim Yilmaz:
A New Malware Classification Framework Based on Deep Learning Algorithms. IEEE Access 9: 87936-87951 (2021) - Firas Sabar Miften, Mohammed Diykh, Shahab A. Abdulla, Siuly Siuly, Jonathan H. Green, Ravinesh C. Deo:
A new framework for classification of multi-category hand grasps using EMG signals. Artif. Intell. Medicine 112: 102005 (2021) - Monika Choudhary, Satyendra Singh Chouhan, Emmanuel S. Pilli, Santosh Kumar Vipparthi:
BerConvoNet: A deep learning framework for fake news classification. Appl. Soft Comput. 110: 107614 (2021) - Sajjad Hashemi, Hojjat Emami, Amin Babazadeh Sangar:
A new comparison framework to survey neural networks-based vehicle detection and classification approaches. Int. J. Commun. Syst. 34(14) (2021) - Gizem Nur Karagoz, Adnan Yazici, Tansel Dökeroglu, Ahmet Cosar:
A new framework of multi-objective evolutionary algorithms for feature selection and multi-label classification of video data. Int. J. Mach. Learn. Cybern. 12(1): 53-71 (2021) - Jianhui Zhao, Saifeng Feng, Jing Yang, Zhiyong Yuan, Wenyuan Zhao, Tingbao Zhang:
Noisy Mammogram Classification Method Based on New Weighted Fusion Framework. IJCNN 2021: 1-8 - 2020
- Sundaram Divya Meena, Loganathan Agilandeeswari:
A New Supervised Clustering Framework Using Multi Discriminative Parts and Expectation-Maximization Approach for a Fine-Grained Animal Breed Classification (SC-MPEM). Neural Process. Lett. 52(1): 727-766 (2020) - Ju Wang, Yaowen Xie, Xiaoyun Wang, Kunming Guo:
Driving Factors of Recent Vegetation Changes in Hexi Region, Northwest China Based on a New Classification Framework. Remote. Sens. 12(11): 1758 (2020) - Pejman Ghasemzadeh, Subharthi Banerjee, Michael Hempel, Hamid Sharif:
A New Framework for Automatic Modulation Classification using Deep Belief Networks. ICC Workshops 2020: 1-6 - Shiming Song, Chenxiang Ma, Qiang Yu:
Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding. ICONIP (3) 2020: 208-219 - Lia Bozarth, Ceren Budak:
Toward a Better Performance Evaluation Framework for Fake News Classification. ICWSM 2020: 60-71 - 2019
- Ying Cui, Xiaowei Ji, Heng Wang, Kai Xu, Shaoqiao Wu, Liguo Wang:
A New Framework for Hyperspectral Image Classification Using Multiple Semisupervised Collaborative Classification Algorithm. IEEE Access 7: 125155-125175 (2019) - Utkarsh Singh, Shyam Narain Singh:
A new optimal feature selection scheme for classification of power quality disturbances based on ant colony framework. Appl. Soft Comput. 74: 216-225 (2019) - Di He, Ke Xu, Peng Zhou:
Defect detection of hot rolled steels with a new object detection framework called classification priority network. Comput. Ind. Eng. 128: 290-297 (2019)
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