Asim Roy

Orcid: 0000-0002-8530-0242

According to our database1, Asim Roy authored at least 39 papers between 1987 and 2023.

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Bibliography

2023
Flexible Hybrid Intraoral Sleep Monitoring System.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

A Multi-wavelength Photoplethysmography System for Sleep Quality Monitoring.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

2022
Sleep Monitoring with Intraorally Measured Photoplethysmography (PPG) Signals.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

2021
Disease Detection Analytics: A Simple Linear Convex Programming Algorithm for Breast Cancer and Diabetes Incidence Decisions.
Decis. Sci., 2021

2019
Performance Comparison of Machine Learning Platforms.
INFORMS J. Comput., 2019

2016
Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports].
IEEE Comput. Intell. Mag., 2016

Two-layered ensemble Kohonen nets for imbalanced streaming data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
On Findings of Category and Other Concept Cells in the Brain: Some Theoretical Perspectives on Mental Representation.
Cogn. Comput., 2015

A Classification Algorithm for High-dimensional Data.
Proceedings of the INNS Conference on Big Data 2015, 2015

Automated online feature selection and learning from high-dimensional streaming data using an ensemble of Kohonen neurons.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2011
An interactive weight space reduction procedure for nonlinear multiple objective mathematical programming.
Math. Program., 2011

A theory of the brain - the brain uses both distributed and localist (symbolic) representation.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks.
J. Intell. Learn. Syst. Appl., 2010

On NSF "open questions, " some external properties of the brain as a learning system and an architecture for autonomous learning.
Proceedings of the International Joint Conference on Neural Networks, 2010

Is the connectionist notion of subconcepts flawed?
Proceedings of the International Joint Conference on Neural Networks, 2010

An autonomous incremental learning algorithm of Resource Allocating Network for online pattern recognition.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
A Multitask Learning Model for Online Pattern Recognition.
IEEE Trans. Neural Networks, 2009

An Autonomous Learning Algorithm of Resource Allocating Network.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

2008
Connectionism, Controllers, and a Brain Theory.
IEEE Trans. Syst. Man Cybern. Part A, 2008

An Interactive Search Method Based on User Preferences.
Decis. Anal., 2008

A Neural Network Model for Sequential Multitask Pattern Recognition Problems.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Incremental Learning for Multitask Pattern Recognition Problems.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2002
Oh sure, my method is connectionist too. Who said it's not?
Proceedings of the FSDK'02, 2002

2001
On connectionism and rule extraction.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

2000
On connectionism, rule extraction, and brain-like learning.
IEEE Trans. Fuzzy Syst., 2000

Artificial Neural Networks - A Science in Trouble .
SIGKDD Explor., 2000

A Theory of the Brain: There Are Parts of the Brain That Control Other Parts.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Brain's internal mechanisms - a new paradigm.
Proceedings of the International Joint Conference Neural Networks, 1999

1997
Iterative generation of higher-order nets in polynomial time using linear programming.
IEEE Trans. Neural Networks, 1997

A neural-network learning theory and a polynomial time RBF algorithm.
IEEE Trans. Neural Networks, 1997

Fuzzy logic, neural networks, and brain-like learning.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
The Optimal Cost Chromatic Partition Problem for Trees and Interval Graphs.
Proceedings of the Graph-Theoretic Concepts in Computer Science, 1996

1995
An algorithm to generate radial basis function (RBF)-like nets for classification problems.
Neural Networks, 1995

1993
A polynomial time algorithm for the construction and training of a class of multilayer perceptrons.
Neural Networks, 1993

A Polynomial Time Algorithm for Generating Neural Networks for Pattern Classification: Its Stability Properties and Some Test Results.
Neural Comput., 1993

1992
Nonlinear multiple objective optimization: An algorithm and some theory.
Math. Program., 1992

On linear programming, neural network design, pattern classification and polynomial time training.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991
Pattern Classification Using Linear Programming.
INFORMS J. Comput., 1991

1987
From what if to what's best in DSS.
Decis. Support Syst., 1987


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