Melvin Deloyd Robinson

According to our database, Melvin Deloyd Robinson authored at least 9 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Machine learning applications to predict two-phase flow patterns.

Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Frank Florez, Nicolas Murcia-Orjuela, Cristhian Eduardo Diaz-Ortega, Simon Orozco-Arias, Melissa delaPava, Mario Alejandro Bravo-Ortiz, Melvin Deloyd Robinson, Pablo Guillén-Rondon, Reinel Tabares-Soto

PeerJ Comput. Sci., 2021

2020

Deep learning to classify single-cell RNA sequencing in primary glioblastoma.

Pablo Guillén-Rondon, Jerry Osagie Ebalunode, Melvin Deloyd Robinson

Proceedings of the EATIS 2020: 10th Euro American Conference on Telematics and Information Systems, 2020

2019

License Plate Character Recognition Using Binarization and Convolutional Neural Networks.

Sandeep Angara, Melvin Deloyd Robinson

Proceedings of the Advances in Computer Vision, 2019

2018

Support Vector Machine Application for Multiphase Flow Pattern Prediction.

Pablo Guillén-Rondon, Melvin Deloyd Robinson, Carlos Torres, Eduardo Pereya

CoRR, 2018

Breast Cancer Classification: A Deep Learning Approach for Digital Pathology.

Pablo Guillén-Rondon, Melvin Deloyd Robinson, Jerry Osagie Ebalunode

Proceedings of the High Performance Computing - 5th Latin American Conference, 2018

2017

Properties of a Batch Training Algorithm for Feedforward Networks.

Melvin Deloyd Robinson, Michael T. Manry, Sanjeev S. Malalur, Changhua Yu

Neural Process. Lett., 2017

Deep Learning as a Tool to Predict Flow Patterns in Two-Phase Flow.

Mohammadmehdi Ezzatabadipour, Parth Singh, Melvin Deloyd Robinson, Pablo Guillén-Rondon, Carlos Torres

CoRR, 2017

2013

Partially affine invariant training using dense transform matrices.

Melvin Deloyd Robinson, Michael T. Manry

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Two-Stage Second Order Training in Feedforward Neural Networks.

Melvin Deloyd Robinson, Michael Thomas Manry

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013