Genetic neural network modeling of the selective inhibition of the intermediate-conductance Ca2+-activated K+ channel by some triarylmethanes using topological charge indexes descriptors. - Julio Caballero; Miguel Garriga; Michael Fernández (J. Comput. Aided Mol. Des., 2005)

Modeling of Cyclin-Dependent Kinase Inhibition by 1H-Pyrazolo[3, 4-d]Pyrimidine Derivatives Using Artificial Neural Network Ensembles. - Michael Fernández; Alain Tundidor-Camba; Julio Caballero (J. Chem. Inf. Model., 2005)

Amino Acid Sequence Autocorrelation Vectors and Ensembles of Bayesian-Regularized Genetic Neural Networks for Prediction of Conformational Stability of Human Lysozyme Mutants. - Julio Caballero; Leyden Fernández; José Ignacio Abreu; Michael Fernández (J. Chem. Inf. Model., 2006)

Power Consumption Reduction Explorations in Processors by Enhancing Performance Using Small ESL Reprogrammable eFPGAs. - Syed Zahid Ahmed; Julien Eydoux; Michael Fernández; Laurent Rouge; Gilles Sassatelli; Lionel Torres (ReConFig, 2008)

Recognition of Drug-Target Interaction Patterns using Genetic Algorithm-optimized Bayesian-regularized Neural Networks and Support Vector Machines. - Michael Fernández; Akinori Sarai; Shandar Ahmad (SMC, 2009)

Proteochemometric Recognition of Stable Kinase Inhibition Complexes Using Topological Autocorrelation and Support Vector Machines. - Michael Fernández; Shandar Ahmad; Akinori Sarai (J. Chem. Inf. Model., 2010)

Prediction of dinucleotide-specific RNA-binding sites in proteins. - Michael Fernández; Yutaro Kumagai; Daron M. Standley; Akinori Sarai; Kenji Mizuguchi; Shandar Ahmad (BMC Bioinform., 2011)

Near-Rand: Noise-based location obfuscation based on random neighboring points. - Mayra Zurbarán; Karen Ávila; Pedro M. Wightman; Michael Fernández (LATINCOM, 2014)

Quantitative Structure-Property Relationship Modeling of Electronic Properties of Graphene Using Atomic Radial Distribution Function Scores. - Michael Fernández; Hongqing Shi; Amanda S. Barnard (J. Chem. Inf. Model., 2015)

Machine Learning for Silver Nanoparticle Electron Transfer Property Prediction. - Baichuan Sun; Michael Fernández; Amanda S. Barnard (J. Chem. Inf. Model., 2017)

Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images. - Michael Fernández; Fuqiang Ban; Godwin Woo; Michael Hsing; Takeshi Yamazaki; Eric Leblanc; Paul S. Rennie; William J. Welch; Artem Cherkasov (J. Chem. Inf. Model., 2018)

Quantitative Structure-Price Relationship (QS$R) Modeling and the Development of Economically Feasible Drug Discovery Projects. - Michael Fernández; Fuqiang Ban; Godwin Woo; Olexandr Isayev; Carl Perez; Valery Fokin; Alexander Tropsha; Artem Cherkasov (J. Chem. Inf. Model., 2019)

DeepCOP: deep learning-based approach to predict gene regulating effects of small molecules. - Godwin Woo; Michael Fernández; Michael Hsing; Nathan A. Lack; Ayse Derya Cavga; Artem Cherkasov (Bioinform., 2020)

The transformational role of GPU computing and deep learning in drug discovery. - Mohit Pandey; Michael Fernández; Francesco Gentile; Olexandr Isayev; Alexander Tropsha; Abraham C. Stern; Artem Cherkasov (Nat. Mach. Intell., 2022)