Validating the Validation: Reanalyzing a large-scale comparison of Deep Learning and Machine Learning models for bioactivity prediction

28 May 2019

Papers citing "Validating the Validation: Reanalyzing a large-scale comparison of Deep Learning and Machine Learning models for bioactivity prediction"

5 / 5 papers shown

Title
Transformers for molecular property prediction: Lessons learned from the past five years Afnan Sultan Jochen Sieg M. Mathea Andrea Volkamer AI4CE 39 10 0 05 Apr 2024
Best practices for machine learning in antibody discovery and development Leonard Wossnig Norbert Furtmann Andrew Buchanan Sandeep Kumar Victor Greiff 25 7 0 13 Dec 2023
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity Nikhil V. S. Avula S. K. Veesam Sudarshan Behera S. Balasubramanian 31 8 0 23 Aug 2022
Relative Molecule Self-Attention Transformer Lukasz Maziarka Dawid Majchrowski Tomasz Danel Piotr Gaiñski Jacek Tabor Igor T. Podolak Pawel M. Morkisz Stanislaw Jastrzebski MedIm 45 34 0 12 Oct 2021
Machine Learning based prediction of noncentrosymmetric crystal materials Yuqi Song Joseph Lindsay Yong Zhao Alireza Nasiri Steph-Yves M. Louis Jie Ling Ming Hu Jianjun Hu 23 21 0 26 Feb 2020