Search Result "DNN learning"
Predicting Drug-target Interactions via FM-DNN Learning
Journal: Current Bioinformatics
Volume: 15 Issue: 1 Year: 2020 Page: 68-76
Author(s): Jihong Wang,Hao Wang,Xiaodan Wang,Huiyou Chang
Threat of Adversarial Attacks within Deep Learning: Survey
Journal: Recent Advances in Computer Science and Communications
Volume: 16 Issue: 7 Year: 2023 Page: 1-10
Author(s):
Performance Analysis of various Front-end and Back End Amalgamationsfor Noise-robust DNN-based ASR
Journal: Recent Advances in Computer Science and Communications
Volume: 14 Issue: 9 Year: 2021 Page: 2800-2816
Author(s): Mohit Dua,Pawandeep Singh Sethi,Vinam Agrawal,Raghav Chawla
Network Intrusion Detection Methods Based on Deep Learning
Journal: Recent Patents on Engineering
Volume: 15 Issue: 4 Year: 2021 Page: 11-19
Author(s): Xiangwen Li,Shuang Zhang
New Trends of Deep Learning in Clinical Cardiology
Journal: Current Bioinformatics
Volume: 16 Issue: 7 Year: 2021 Page: 954-962
Author(s): Zichao Chen,Qi Zhou,Aziz Khan,Jordan Jill,Rixin Xiong,Xu Liu
Insights into Deep Learning and Non-Deep Learning Techniques for Code Clone Detection
Ebook: Artificial Intelligence, Machine Learning and User Interface Design
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815179606124010010
Deep Learning: History and Evolution
Ebook: Deep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815079210123010004
Survey of Machine Learning Techniques in Drug Discovery
Journal: Current Drug Metabolism
Volume: 20 Issue: 3 Year: 2019 Page: 185-193
Author(s): Natalie Stephenson,Emily Shane,Jessica Chase,Jason Rowland,David Ries,Nicola Justice,Jie Zhang,Leong Chan,Renzhi Cao
Fundamentals of Machine Learning in Healthcare
Ebook: Prediction in Medicine: The Impact of Machine Learning on Healthcare
Volume: 1 Year: 2024
Author(s): Jatindra Kumar Dash
Doi: 10.2174/9789815305128124010013
Generative Adversarial Networks for Deep Learning in Healthcare: Architecture, Applications and Challenges
Ebook: Deep Learning for Healthcare Services
Volume: 2 Year: 2023
Author(s):
Doi: 10.2174/9789815080230123020004