Asim Roy

44 papers B 8C 3Journal 21Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Explainable AI (XAI) for Object Detection and Application to Satellite Imagery.
IEEE Access
Asim Roy, Kedar D. Gaikwad, Atharva J. Hude, Jay S. Shinde, Jaykumar Parekh, Hriday Nagrani
2024 J jnl
Editorial: What AI and Neuroscience Can Learn from Each Other - Open Problems in Models and Theories.
Cogn. Comput.
Asim Roy, Ali A. Minai, Jean-Philippe Thivierge, Tsvi Achler, Juyang Weng
2023 C conf
A Multi-wavelength Photoplethysmography System for Sleep Quality Monitoring.
ICCE
Seyedfakhreddin Nabavi, John Cogan, Asim Roy, Brandon Canfield, Robert Kibler, Collin Emerick
2023 — conf
Flexible Hybrid Intraoral Sleep Monitoring System.
SENSORS
Seyedfakhreddin Nabavi, John Cogan, Asim Roy, Brandon Canfield, Robert Kibler, Collin Emerick
2022 — conf
Sleep Monitoring with Intraorally Measured Photoplethysmography (PPG) Signals.
IEEE SENSORS
Seyedfakhreddin Nabavi, John Cogan, Asim Roy, Brandon Canfield, Robert Kibler, Collin Emerick
2021 J jnl
Disease Detection Analytics: A Simple Linear Convex Programming Algorithm for Breast Cancer and Diabetes Incidence Decisions.
Decis. Sci.
Somnath Mukhopadhyay, Subhashish Samaddar, Adriano O. Solis, Asim Roy
2019 J jnl
Performance Comparison of Machine Learning Platforms.
INFORMS J. Comput.
Asim Roy, Shiban Qureshi, Kartikeya Pande, Divitha Nair, Kartik Gairola, Pooja Jain, Suraj Singh, Kirti Sharma, Akshay Jagadale, Yi-Yang Lin, Shashank Sharma, Ramya Gotety, Yuexin Zhang, Ji Tang, Tejas Mehta, Hemanth Sindhanuru, Nonso Okafor, Santak Das, Chidambara N. Gopal, Srinivasa B. Rudraraju, Avinash V. Kakarlapudi
2018 — ed.
INNS Conference on Big Data and Deep Learning 2018, Sanur, Bali, Indonesia, 17-19 April 2018
INNS Conference on Big Data
Seiichi Ozawa, Ah-Hwee Tan, Plamen P. Angelov, Asim Roy, Mahardhika Pratama
2017 — ed.
Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece
INNS Conference on Big Data
Plamen Angelov, Yannis Manolopoulos, Lazaros S. Iliadis, Asim Roy, Marley M. B. R. Vellasco
2016 J jnl
Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports].
IEEE Comput. Intell. Mag.
Yoonsuck Choe, Asim Roy, Haibo He, De-Shuang Huang
2016 B conf
Two-layered ensemble Kohonen nets for imbalanced streaming data.
CEC
Asim Roy
2015 — conf
A Classification Algorithm for High-dimensional Data.
INNS Conference on Big Data
Asim Roy
2015 B conf
Automated online feature selection and learning from high-dimensional streaming data using an ensemble of Kohonen neurons.
IJCNN
Asim Roy
2015 — ed.
INNS Conference on Big Data 2015, San Francisco, CA, USA, 8-10 August 2015
INNS Conference on Big Data
Asim Roy, Plamen Angelov, Adel M. Alimi, Ganesh Kumar Venayagamoorthy, Theodore B. Trafalis
2015 J jnl
On Findings of Category and Other Concept Cells in the Brain: Some Theoretical Perspectives on Mental Representation.
Cogn. Comput.
Asim Roy
2011 B conf
A theory of the brain - the brain uses both distributed and localist (symbolic) representation.
IJCNN
Asim Roy
2011 J jnl
An interactive weight space reduction procedure for nonlinear multiple objective mathematical programming.
Math. Program.
Patrick D. Mackin, Asim Roy, Jyrki Wallenius
2010 J jnl
An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks.
J. Intell. Learn. Syst. Appl.
Seiichi Ozawa, Toshihisa Tabuchi, Sho Nakasaka, Asim Roy
2010 B conf
An autonomous incremental learning algorithm of Resource Allocating Network for online pattern recognition.
IJCNN
Seiichi Ozawa, Sho Nakasaka, Asim Roy
2010 B conf
Is the connectionist notion of subconcepts flawed?
IJCNN
Asim Roy
2010 B conf
On NSF "open questions, " some external properties of the brain as a learning system and an architecture for autonomous learning.
IJCNN
Asim Roy
2009 J jnl
A Multitask Learning Model for Online Pattern Recognition.
IEEE Trans. Neural Networks
Seiichi Ozawa, Asim Roy, Dmitri Roussinov
2009 C conf
An Autonomous Learning Algorithm of Resource Allocating Network.
IDEAL
Toshihisa Tabuchi, Seiichi Ozawa, Asim Roy
2008 — conf
A Neural Network Model for Sequential Multitask Pattern Recognition Problems.
ICONIP (1)
Hitoshi Nishikawa, Seiichi Ozawa, Asim Roy
2008 J jnl
An Interactive Search Method Based on User Preferences.
Decis. Anal.
Asim Roy, Patrick D. Mackin, Jyrki Wallenius, James Corner, Mark J. Keith, Gregory Schymik, Hina Arora
2008 J jnl
Connectionism, Controllers, and a Brain Theory.
IEEE Trans. Syst. Man Cybern. Part A
Asim Roy
2008 C conf
Incremental Learning for Multitask Pattern Recognition Problems.
ICMLA
Seiichi Ozawa, Asim Roy
2002 — conf
Oh sure, my method is connectionist too. Who said it's not?
FSKD
Asim Roy
2001 — conf
On connectionism and rule extraction.
WIRN
Asim Roy
2000 — conf
A Theory of the Brain: There Are Parts of the Brain That Control Other Parts.
IJCNN (2)
Asim Roy
2000 J jnl
Artificial Neural Networks - A Science in Trouble .
SIGKDD Explor.
Asim Roy
2000 J jnl
On connectionism, rule extraction, and brain-like learning.
IEEE Trans. Fuzzy Syst.
Asim Roy
1999 B conf
Brain's internal mechanisms - a new paradigm.
IJCNN
Asim Roy
1997 J jnl
A neural-network learning theory and a polynomial time RBF algorithm.
IEEE Trans. Neural Networks
Asim Roy, Sandeep Govil, Raymond Miranda
1997 — conf
Fuzzy logic, neural networks, and brain-like learning.
ICNN
Asim Roy, Raymond Miranda
1997 J jnl
Iterative generation of higher-order nets in polynomial time using linear programming.
IEEE Trans. Neural Networks
Asim Roy, Somnath Mukhopadhyay
1996 B conf
The Optimal Cost Chromatic Partition Problem for Trees and Interval Graphs.
WG
Leo G. Kroon, Arunabha Sen, Haiyong Deng, Asim Roy
1995 J jnl
An algorithm to generate radial basis function (RBF)-like nets for classification problems.
Neural Networks
Asim Roy, Sandeep Govil, Raymond Miranda
1993 J jnl
A Polynomial Time Algorithm for Generating Neural Networks for Pattern Classification: Its Stability Properties and Some Test Results.
Neural Comput.
Somnath Mukhopadhyay, Asim Roy, Lark Sang Kim, Sandeep Govil
1993 J jnl
A polynomial time algorithm for the construction and training of a class of multilayer perceptrons.
Neural Networks
Asim Roy, Lark Sang Kim, Somnath Mukhopadhyay
1992 J jnl
Nonlinear multiple objective optimization: An algorithm and some theory.
Math. Program.
Asim Roy, Jyrki Wallenius
1992 — conf
On linear programming, neural network design, pattern classification and polynomial time training.
ICPR (2)
Asim Roy
1991 J jnl
Pattern Classification Using Linear Programming.
INFORMS J. Comput.
Asim Roy, Somnath Mukhopadhyay
1987 J jnl
From what if to what's best in DSS.
Decis. Support Syst.
Asim Roy