Michael Fernández

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 6

Top Topics

Weakly Supervised

Distribution Function

Neighboring Points

Top Venues

J. Chem. Inf. Model.

Nat. Mach. Intell.

Publications

Mohit Pandey, Michael Fernández, Francesco Gentile, Olexandr Isayev, Alexander Tropsha, Abraham C. Stern, Artem Cherkasov
The transformational role of GPU computing and deep learning in drug discovery. Nat. Mach. Intell. 4 (3) (2022)
Godwin Woo, Michael Fernández, Michael Hsing, Nathan A. Lack, Ayse Derya Cavga, Artem Cherkasov
DeepCOP: deep learning-based approach to predict gene regulating effects of small molecules. Bioinform. 36 (3) (2020)
Michael Fernández, Fuqiang Ban, Godwin Woo, Olexandr Isayev, Carl Perez, Valery Fokin, Alexander Tropsha, Artem Cherkasov
Quantitative Structure-Price Relationship (QS$R) Modeling and the Development of Economically Feasible Drug Discovery Projects. J. Chem. Inf. Model. 59 (4) (2019)
Michael Fernández, Fuqiang Ban, Godwin Woo, Michael Hsing, Takeshi Yamazaki, Eric Leblanc, Paul S. Rennie, William J. Welch, Artem Cherkasov
Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images. J. Chem. Inf. Model. 58 (8) (2018)
Baichuan Sun, Michael Fernández, Amanda S. Barnard
Machine Learning for Silver Nanoparticle Electron Transfer Property Prediction. J. Chem. Inf. Model. 57 (10) (2017)
Michael Fernández, Hongqing Shi, Amanda S. Barnard
Quantitative Structure-Property Relationship Modeling of Electronic Properties of Graphene Using Atomic Radial Distribution Function Scores. J. Chem. Inf. Model. 55 (12) (2015)
Mayra Zurbarán, Karen Ávila, Pedro M. Wightman, Michael Fernández
Near-Rand: Noise-based location obfuscation based on random neighboring points. LATINCOM (2014)
Michael Fernández, Yutaro Kumagai, Daron M. Standley, Akinori Sarai, Kenji Mizuguchi, Shandar Ahmad
Prediction of dinucleotide-specific RNA-binding sites in proteins. BMC Bioinform. 12 (S-13) (2011)
Michael Fernández, Shandar Ahmad, Akinori Sarai
Proteochemometric Recognition of Stable Kinase Inhibition Complexes Using Topological Autocorrelation and Support Vector Machines. J. Chem. Inf. Model. 50 (6) (2010)
Michael Fernández, Akinori Sarai, Shandar Ahmad
Recognition of Drug-Target Interaction Patterns using Genetic Algorithm-optimized Bayesian-regularized Neural Networks and Support Vector Machines. SMC (2009)
Syed Zahid Ahmed, Julien Eydoux, Michael Fernández, Laurent Rouge, Gilles Sassatelli, Lionel Torres
Power Consumption Reduction Explorations in Processors by Enhancing Performance Using Small ESL Reprogrammable eFPGAs. ReConFig (2008)
Julio Caballero, Leyden Fernández, José Ignacio Abreu, Michael Fernández
Amino Acid Sequence Autocorrelation Vectors and Ensembles of Bayesian-Regularized Genetic Neural Networks for Prediction of Conformational Stability of Human Lysozyme Mutants. J. Chem. Inf. Model. 46 (3) (2006)
Michael Fernández, Alain Tundidor-Camba, Julio Caballero
]Pyrimidine Derivatives Using Artificial Neural Network Ensembles. J. Chem. Inf. Model. 45 (6) (2005)
Julio Caballero, Miguel Garriga, Michael Fernández
channel by some triarylmethanes using topological charge indexes descriptors. J. Comput. Aided Mol. Des. 19 (11) (2005)