Research Output per year
Personal profile
Education/Academic qualification
PHD, University of Texas-Austin
… → 1979
MS, Case Western Reserve University
… → 1977
BE, University of Calcutta
… → 1971
Fingerprint Dive into the research topics where Asim Roy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Neural networks
Engineering & Materials Science
Brain
Engineering & Materials Science
Pattern recognition
Engineering & Materials Science
Linear programming
Engineering & Materials Science
Learning systems
Engineering & Materials Science
Polynomials
Engineering & Materials Science
Learning algorithms
Engineering & Materials Science
Artificial intelligence
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1900 2018
Disease Detection Analytics: A Simple Linear Convex Programming Algorithm for Breast Cancer and Diabetes Incidence Decisions
Mukhopadhyay, S., Samaddar, S., Solis, A. O. & Roy, A., Jan 1 2018, (Accepted/In press) In : Decision Sciences.Research output: Contribution to journal › Article
Convex optimization
Medical problems
Linear programming
Classifiers
Statistical tests
Preface
Iliadis, L., Roy, A. & Vellasco, M., 2017, In : Advances in Intelligent Systems and Computing. 529, p. v-ixResearch output: Contribution to journal › Editorial
2
Citations
(Scopus)
The theory of localist representation and of a purely abstract cognitive system: The evidence from cortical columns, category cells, and multisensory neurons
Roy, A., Feb 16 2017, In : Frontiers in Psychology. 8, FEB, 186.Research output: Contribution to journal › Article
Neurons
Brain
Computer Communication Networks
Neocortex
Neurosciences
Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports]
Choe, Y., Roy, A., He, H. & Huang, D. S., Feb 1 2016, In : IEEE Computational Intelligence Magazine. 11, 1, p. 8-10 3 p., 7379081.Research output: Contribution to journal › Article
Computation theory
Learning Systems
Artificial intelligence
Learning systems
Artificial Intelligence
Two-layered ensemble Kohonen nets for imbalanced streaming data
Roy, A., Nov 14 2016, 2016 IEEE Congress on Evolutionary Computation, CEC 2016. Institute of Electrical and Electronics Engineers Inc., p. 5215-5221 7 p. 7748351Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Streaming Data
Ensemble
Internet
Learning systems
Machine Learning
Projects 2017 2019
Dr Bydon- Using Machine Learning to Personalize Remote Patient Monitoring (RPM) Systems
6/24/17 → 8/2/17
Project: Research project
Remote patient monitoring
Learning systems
Neurosurgery
Hardware
Sensors
Dr Bruce- Using Machine Learning to Personalize Remote Patient Monitoring (RPM) Systems
6/16/17 → 7/31/17
Project: Research project
Remote patient monitoring
Learning systems
Neurosurgery
Hardware
Sensors