Machine learning tools advance biophysics

被引：0
|
作者：
Schlick, Tamar [1 ,2 ,3 ]
Wei, Guo- Wei [4 ]
机构：
[1] NYU, Dept Chem, New York, NY 10012 USA
[2] NYU, Courant Inst Math Sci, New York, NY 10012 USA
[3] NYU, Simons Ctr Computat Phys Chem, New York, NY 10012 USA
[4] Michigan State Univ, Dept Math, E Lansing, MI USA
来源：
BIOPHYSICAL JOURNAL | 2024年 / 123卷 / 17期
关键词：
D O I：
10.1016/j.bpj.2024.07.036
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
引用
收藏
页码：E1 / E3
页数：3
相关论文
共 50 条
  • [31] Machine Learning Tools and Techniques for Prediction of Droughts
    Nitwane, Rashmi
    Bhagile, Vaishali D.
    Deshmukh, R. R.
    5TH WORLD CONGRESS ON DISASTER MANAGEMENT, VOL. 2: Nature and Human Induced Disasters, 2023, : 273 - 277
  • [32] Flashlight: Enabling Innovation in Tools for Machine Learning
    Kahn, Jacob
    Pratap, Vineel
    Likhomanenko, Tatiana
    Xu, Qiantong
    Hannun, Awni
    Cai, Jeff
    Tomasello, Paden
    Lee, Ann
    Grave, Edouard
    Avidov, Gilad
    Steiner, Benoit
    Liptchinsky, Vitaliy
    Synnaeve, Gabriel
    Collobert, Ronan
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162, 2022, : 10557 - 10574
  • [33] On the Effectiveness of Machine Learning Experiment Management Tools
    Idowu, Samuel
    Osman, Osman
    Struber, Daniel
    Berger, Thorsten
    2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE (ICSE-SEIP 2022), 2022, : 207 - 208
  • [34] Machine Learning Tools to Time Series Forecasting
    Ramirez-Amaro, K.
    Chimal-Eguia, J. C.
    MICAI 2007: SIXTH MEXICAN INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2008, : 91 - 101
  • [35] Detection of microsleep episodes with machine learning tools
    Skorucak, J.
    Schreier, D.
    Hertig-Godeschalk, A.
    Malafeev, A.
    Mathis, J.
    Achermann, P.
    JOURNAL OF SLEEP RESEARCH, 2018, 27
  • [36] Supervised machine learning tools: a tutorial for clinicians
    Lo Vercio, Lucas
    Amador, Kimberly
    Bannister, Jordan J.
    Crites, Sebastian
    Gutierrez, Alejandro
    MacDonald, M. Ethan
    Moore, Jasmine
    Mouches, Pauline
    Rajashekar, Deepthi
    Schimert, Serena
    Subbanna, Nagesh
    Tuladhar, Anup
    Wang, Nanjia
    Wilms, Matthias
    Winder, Anthony
    Forkert, Nils D.
    JOURNAL OF NEURAL ENGINEERING, 2020, 17 (06)
  • [37] Statistical and Machine Learning Tools for Consonance Detection
    Barile, Paolo
    Alizada, Aysel
    Bassano, Clara
    2024 5TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, ROBOTICS AND CONTROL, AIRC 2024, 2024, : 107 - 111
  • [38] Machine learning operations landscape: platforms and tools
    Berberi, Lisana
    Kozlov, Valentin
    Nguyen, Giang
    Diaz, Judith Sainz-Pardo
    Calatrava, Amanda
    Molto, German
    Tran, Viet
    Garcia, Alvaro Lopez
    ARTIFICIAL INTELLIGENCE REVIEW, 2025, 58 (06)
  • [39] Software Identification by Standard Machine Learning Tools
    M. E. Sukhoparov
    K. I. Salakhutdinova
    I. S. Lebedev
    Automatic Control and Computer Sciences, 2021, 55 : 1175 - 1179
  • [40] A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost
    Ferreira, Luis
    Pilastri, Andre
    Martins, Carlos Manuel
    Pires, Pedro Miguel
    Cortez, Paulo
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
12345