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- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
also: International Workshop on Machine Learning and Medical Engineering for Cardiovascular Health (MLMECH @ MICCAI)
also: International Workshop on Machine Learning in Medical Imaging (MLMI @ MICCAI) - European Conference on Machine Learning and Knowledge Discovery in Databases (PKDD)
also: Machine Learning for Earth ObservatioN Workshop (MACLEAN @ PKDD)
also: Privacy and Security Issues in Data Mining and Machine Learning (PSDML @ PKDD) - International Joint Conference on Artificial Intelligence (IJCAI)
also: Workshop on Machine Learning for Interactive Systems (MLIS @ IJCAI) - Machine Learning
- International Conference on Multimodal Interaction (ICMI)
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Publication search results
found 60,800 matches
- 2024
- Nazli Tekin, Ahmet Aris, Abbas Acar, A. Selcuk Uluagac, Vehbi Cagri Gungor:
A review of on-device machine learning for IoT: An energy perspective. Ad Hoc Networks 153: 103348 (2024) - Majid Aljalal
, Marta Molinas
, Saeed A. Aldosari, Khalil AlSharabi
, Akram M. Abdurraqeeb, Fahd A. Alturki:
Mild cognitive impairment detection with optimally selected EEG channels based on variational mode decomposition and supervised machine learning. Biomed. Signal Process. Control. 87(Part B): 105462 (2024) - Mohamed E. ElAraby, Ahmed A. Ewees, Ahmed M. Anter
:
A robust IoT-based cloud model for COVID-19 prediction using advanced machine learning technique. Biomed. Signal Process. Control. 87(Part B): 105542 (2024) - Emad M. Grais
, Leixin Nie, Bin Zou, Xiaoya Wang, Tariq Rahim
, Jing Sun, Shuna Li, Jie Wang, Wen Jiang, Yuexin Cai, Haidi Yang, Fei Zhao
:
An advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups using 3D wideband acoustic immittance. Biomed. Signal Process. Control. 87(Part A): 105525 (2024) - Abdul Hannan, Sehrish Munawar Cheema, Ivan Miguel Pires
:
Machine learning-based smart wearable system for cardiac arrest monitoring using hybrid computing. Biomed. Signal Process. Control. 87(Part B): 105519 (2024) - Kehkashan Kanwal
, Syed Ghufran Khalid, Muhammad Asif, Farhana Zafar
, Aisha Ghazal Qurashi:
Diagnosis of Community-Acquired pneumonia in children using photoplethysmography and Machine learning-based classifier. Biomed. Signal Process. Control. 87(Part A): 105367 (2024) - Oguzhan Karaarslan, Kristen Dominica Belcastro, Onur Ergen
:
Respiratory sound-base disease classification and characterization with deep/machine learning techniques. Biomed. Signal Process. Control. 87(Part A): 105570 (2024) - Sachin Kumar, Karan Veer, Sanjeev Kumar:
Development of a novel wrist pulse system for early diagnosis of pathogenic bacterial infections using optimized feature selection with machine learning approaches. Biomed. Signal Process. Control. 87(Part B): 105503 (2024) - Ilke Kurt
, Halit Selçuk, Sezer Ulukaya
, Gülnur Öztürk, Hilal Keklicek:
Thoracal motion-based analysis of breathing patterns in individuals with a mild-moderate Covid-19 history using machine learning techniques: A single blinded multidisciplinary study on post-Covid. Biomed. Signal Process. Control. 87(Part B): 105429 (2024) - Leren Qian
, Jiexin Bai, Yiqian Huang, Diyar Qader Zeebaree, Abbas Saffari
, Dilovan Asaad Zebari:
Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization algorithm. Biomed. Signal Process. Control. 87(Part A): 105492 (2024) - Md. Mustafizur Rahman, Md. Al-Amin, Jahangir Hossain:
Machine learning models for chronic kidney disease diagnosis and prediction. Biomed. Signal Process. Control. 87(Part A): 105368 (2024) - Pedro Ribeiro
, João Alexandre Lôbo Marques, Daniel Pordeus
, Laíla Zacarias, Camila Leite, Manoel Alves Neto, Arnaldo Aires Peixoto Júnior, Adriel de Oliveira, João Paulo do Vale Madeiro, Pedro Miguel Rodrigues
:
Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity. Biomed. Signal Process. Control. 87(Part A): 105558 (2024) - Yisong Qiu, Hongfei Ye, Hongwu Zhang, Yonggang Zheng
:
Machine learning-driven optimization design of hydrogel-based negative hydration expansion metamaterials. Comput. Aided Des. 166: 103631 (2024) - Kohei Shimamura
, Akihide Koura, Fuyuki Shimojo:
Construction of machine-learning interatomic potential under heat flux regularization and its application to power spectrum analysis for silver chalcogenides. Comput. Phys. Commun. 294: 108920 (2024) - Laurits Tani
, Christian Veelken:
Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics. Comput. Phys. Commun. 294: 108955 (2024) - Arif Ullah
, Pavlo O. Dral:
MLQD: A package for machine learning-based quantum dissipative dynamics. Comput. Phys. Commun. 294: 108940 (2024) - Oscar Castro, Pierrick Bruneau, Jean-Sébastien Sottet, Dario Torregrossa:
Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications. ACM Comput. Surv. 56(3): 65:1-65:30 (2024) - Zhaolong Ning
, Hao Hu
, Xiaojie Wang
, Lei Guo
, Song Guo
, Guoyin Wang
, Xinbo Gao
:
Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey. ACM Comput. Surv. 56(1): 13:1-13:31 (2024) - Ricardo Parizotto
, Bruno Loureiro Coelho
, Diego Cardoso Nunes
, Israat Haque
, Alberto Schaeffer-Filho
:
Offloading Machine Learning to Programmable Data Planes: A Systematic Survey. ACM Comput. Surv. 56(1): 18:1-18:34 (2024) - Yujia Chen
, Raffaella Calabrese, Belen Martin-Barragan:
Interpretable machine learning for imbalanced credit scoring datasets. Eur. J. Oper. Res. 312(1): 357-372 (2024) - Apostolos G. Katsafados, George N. Leledakis
, Emmanouil G. Pyrgiotakis
, Ion Androutsopoulos, Manos Fergadiotis
:
Machine learning in bank merger prediction: A text-based approach. Eur. J. Oper. Res. 312(2): 783-797 (2024) - Mariam Al Akasheh, Esraa Faisal Malik, Omar Hujran, Nazar Zaki:
A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review. Expert Syst. Appl. 238(Part E): 121794 (2024) - Hassan A. AlSattar, Sarah Qahtan, Aws Alaa Zaidan, Muhammet Deveci, Luis Martínez, Dragan Pamucar, Witold Pedrycz:
Developing deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy. Expert Syst. Appl. 236: 121300 (2024) - Arslan Ahmed Amin, Muhammad Sajid Iqbal, Muhammad Hamza Shahbaz:
Development of Intelligent Fault-Tolerant Control Systems with Machine Learning, Deep Learning, and Transfer Learning Algorithms: A Review. Expert Syst. Appl. 238(Part B): 121956 (2024) - C. Anandhakumar, N. S. Sakthivel Murugan, K. Kumaresan:
Extreme learning machine model with honey badger algorithm based state-of-charge estimation of lithium-ion battery. Expert Syst. Appl. 238(Part A): 121609 (2024) - Arcady Beriozkin, Or Haim Anidjar, Amos Azaria, Noam Hazon:
Machine learning approach to predicting the hysteresis of water retention curves of porous media. Expert Syst. Appl. 237(Part A): 121469 (2024) - Samuele Buosi
, Mohan Timilsina, Adrianna Janik
, Luca Costabello, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek:
Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings. Expert Syst. Appl. 235: 121127 (2024) - Muhammed Celik, Özkan Inik:
Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification. Expert Syst. Appl. 238(Part E): 122159 (2024) - Haoze Chen, Zhijie Zhang, Wuliang Yin, Guangyu Zhou, Luxiang Wang, Yanfeng Li, Chenyang Zhao, Chao Wang:
Shape characterization and depth recognition of metal cracks based on laser infrared thermography and machine learning. Expert Syst. Appl. 238(Part E): 122083 (2024) - Núria Correa, Jesús Cerquides, Rita Vassena, Mina Popovic, Josep Lluís Arcos:
IDoser: Improving individualized dosing policies with clinical practice and machine learning. Expert Syst. Appl. 238(Part B): 121796 (2024)
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