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Publication search results
found 367 matches
- 2024
- M. Abinaya, G. Vadivu:
Identification of Social Anxiety in High School: A Machine Learning Approaches to Real-Time Analysis of Student Characteristics. IEEE Access 12: 77932-77946 (2024) - Tolulope David Makanju, Thokozani Shongwe, Oluwole John Famoriji:
Machine Learning Approaches for Power System Parameters Prediction: A Systematic Review. IEEE Access 12: 66646-66679 (2024) - Andrea Caliciotti, Marco Corazza, Giovanni Fasano:
From regression models to machine learning approaches for long term Bitcoin price forecast. Ann. Oper. Res. 336(1-2): 359-381 (2024) - Chih-Wei Chung, Seng-Cho Chou, Tzu-Hung Hsiao, Grace Joyce Zhang, Yu-Fang Chung, Yi-Ming Chen:
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records. BioData Min. 17(1) (2024) - Ghazala Sultan, Swaleha Zubair:
An ensemble of bioinformatics and machine learning approaches to identify shared breast cancer biomarkers among diverse populations. Comput. Biol. Chem. 108: 107999 (2024) - Jing Shi, Ying Chen, Ying Wang:
Deep learning and machine learning approaches to classify stomach distant metastatic tumors using DNA methylation profiles. Comput. Biol. Medicine 175: 108496 (2024) - Charles-Henry Bertrand Van Ouytsel, Khanh-Huu-The Dam, Axel Legay:
Analysis of machine learning approaches to packing detection. Comput. Secur. 136: 103536 (2024) - Sujatha M, Jaidhar C. D.:
Machine learning-based approaches to enhance the soil fertility - A review. Expert Syst. Appl. 240: 122557 (2024) - César Peláez-Rodríguez, Jorge Pérez-Aracil, Dusan Fister, Ricardo Torres-Lopez, Sancho Salcedo-Sanz:
Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches. Expert Syst. Appl. 238(Part E): 122264 (2024) - Hariharan Anantharaman, Navendu Chaudhary, Vimal Raj:
Neoteric machine learning approaches to diagnose the state of carotid artery. Int. J. Medical Eng. Informatics 16(3): 274-286 (2024) - Jing Sun, Run Shi, Yang Wu, Yan Lou, Lijuan Nie, Chun Zhang, Yutian Cao, Qianhua Yan, Lifang Ye, Shu Zhang, Xuanbin Wang, Qibiao Wu, Xuehua Jiao, Jiangyi Yu, Zhuyuan Fang, Xiqiao Zhou:
Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets. J. Big Data 11(1): 40 (2024) - Xi Huang, Wei Long Ng, Wai Yee Yeong:
Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches. J. Intell. Manuf. 35(5): 2365 (2024) - Phongtharin Vinayavekhin, Banphatree Khomkham, Vorapong Suppakitpaisarn, Philippe Codognet, Torahiko Terada, Atsushi Miura:
Identifying Relationships and Classifying Western-style Paintings: Machine Learning Approaches for Artworks by Western Artists and Meiji-era Japanese Artists. ACM Journal on Computing and Cultural Heritage 17(1): 6:1-6:18 (2024) - Mehrdad Motamed Shariati, Saeid Eslami, Nasser Shoeibi, Alireza Eslampoor, Mohammadreza Sedaghat, Hamid Gharaei, Siamak Zarei-Ghanavati, Akbar Derakhshan, Majid Abrishami, Mojtaba Abrishami, Seyedeh Maryam Hosseini, Saeed Shokuhi Rad, Mohammadreza Ansari Astaneh, Raheleh Mahboub Farimani:
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches. BMC Medical Informatics Decis. Mak. 24(1): 131 (2024) - Gabriel Avelino R. Sampedro:
What's Next?: Exploring Machine Learning-Based Approaches to Content Suggestions Using IMDb Movie Reviews. ICEIC 2024: 1-4 - Alexander Brenning:
Novel Approaches to Model Assessment and Interpretation in Geospatial Machine Learning. GISTAM 2024: 7 - Atif Ali, Abdul Razzaque, Usama Munir, Hina Shahid, Furqan Wali Khattak, Zain Rajpoot, Muhammad Kamran, Zulqarnain Farid:
AI-Driven Approaches to Cybersecurity: The Impact of Machine and Deep Learning. ICCR 2024: 1-5 - Gabriel Silva, Mário Rodrigues, António J. S. Teixeira, Marlene Amorim:
First assessment of Graph Machine Learning approaches to Portuguese Named Entity Recognition. PROPOR 2024: 563-567 - Florbela Tavares, Gilberto Rosa, Inês Henriques, Nelson Pacheco da Rocha:
Machine Learning Approaches to Support Medical Imaging Diagnosis of Pancreatic Cancer - A Scoping Review. WorldCIST (2) 2024: 129-138 - Rrubaa Panchendrarajan, Arkaitz Zubiaga:
Synergizing Machine Learning & Symbolic Methods: A Survey on Hybrid Approaches to Natural Language Processing. CoRR abs/2401.11972 (2024) - Alexander Auras, Kanchana Vaishnavi Gandikota, Hannah Dröge, Michael Moeller:
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview. CoRR abs/2402.12072 (2024) - Tosin Ige, Christopher Kiekintveld, Aritran Piplai:
An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey. CoRR abs/2402.17045 (2024) - Tom F. Hansen, Georg H. Erharter, Zhongqiang Liu, Jim Torresen:
A comparative study on machine learning approaches for rock mass classification using drilling data. CoRR abs/2403.10404 (2024) - Chaoyu Zhang:
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey. CoRR abs/2404.16847 (2024) - 2023
- Diana Zhang:
Biomarker Analysis: Machine Learning and Analytical Approaches to Enhance Diagnostic Accuracy. University of New South Wales, Sydney, Australia, 2023 - Hasan Ulutas:
Domates hastalıklarının sınıflandırılması için makine öğrenmesi ve derin öğrenme temelli yeni yaklaşımlar (New approaches to classification of tomato diseases based on machine learning and deep learning). Erciyes University, Turkey, 2023 - Mehrad Sarmashghi:
Integrating statistical and machine learning approaches to identify receptive field structure in neural populations. Boston University, USA, 2023 - Mohammed Yusuf Ansari, Vaisali Chandrasekar, Ajay Vikram Singh, Sarada Prasad Dakua:
Re-Routing Drugs to Blood Brain Barrier: A Comprehensive Analysis of Machine Learning Approaches With Fingerprint Amalgamation and Data Balancing. IEEE Access 11: 9890-9906 (2023) - Cenker Sengoz, Sheela Ramanna, Scott Kehler, Rushil Goomer, Paul Pries:
Machine Learning Approaches to Improve North American Precipitation Forecasts. IEEE Access 11: 97664-97681 (2023) - Mohammad A. Shbool, Omar Suleiman Arabeyyat, Ammar Al-Bazi, Abeer Y. Al-Hyari, Arwa Salem, Thana' Abu-Hmaid, Malak Ali:
Machine Learning Approaches to Predict Patient's Length of Stay in Emergency Department. Appl. Comput. Intell. Soft Comput. 2023: 8063846:1-8063846:13 (2023)
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