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2020 – today
- 2024
[j20]Asim Roy, Ali A. Minai, Jean-Philippe Thivierge, Tsvi Achler, Juyang Weng:
Editorial: What AI and Neuroscience Can Learn from Each Other - Open Problems in Models and Theories. Cogn. Comput. 16(5): 2331-2333 (2024)- 2023
- [c20]Seyedfakhreddin Nabavi, John Cogan, Asim Roy, Brandon Canfield, Robert Kibler, Collin Emerick:
A Multi-wavelength Photoplethysmography System for Sleep Quality Monitoring. ICCE 2023: 1-3 - [c19]Seyedfakhreddin Nabavi, John Cogan, Asim Roy, Brandon Canfield, Robert Kibler, Collin Emerick:
Flexible Hybrid Intraoral Sleep Monitoring System. SENSORS 2023: 1-4 - 2022
- [c18]Seyedfakhreddin Nabavi, John Cogan, Asim Roy, Brandon Canfield, Robert Kibler, Collin Emerick:
Sleep Monitoring with Intraorally Measured Photoplethysmography (PPG) Signals. IEEE SENSORS 2022: 1-4 - 2021
- [j19]Somnath Mukhopadhyay, Subhashish Samaddar
, Adriano O. Solis, Asim Roy:
Disease Detection Analytics: A Simple Linear Convex Programming Algorithm for Breast Cancer and Diabetes Incidence Decisions. Decis. Sci. 52(3): 661-698 (2021)
2010 – 2019
- 2019
- [j18]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:
Performance Comparison of Machine Learning Platforms. INFORMS J. Comput. 31(2): 207-225 (2019) - 2018
- [e3]Seiichi Ozawa, Ah-Hwee Tan, Plamen P. Angelov, Asim Roy, Mahardhika Pratama:
INNS Conference on Big Data and Deep Learning 2018, Sanur, Bali, Indonesia, 17-19 April 2018. Procedia Computer Science 144, Elsevier 2018 [contents] - 2017
- [e2]Plamen Angelov, Yannis Manolopoulos, Lazaros S. Iliadis, Asim Roy, Marley M. B. R. Vellasco:
Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece. Advances in Intelligent Systems and Computing 529, 2017, ISBN 978-3-319-47897-5 [contents] - 2016
- [j17]Yoonsuck Choe, Asim Roy, Haibo He, De-Shuang Huang:
Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports]. IEEE Comput. Intell. Mag. 11(1): 8-10 (2016) - [c17]Asim Roy:
Two-layered ensemble Kohonen nets for imbalanced streaming data. CEC 2016: 5215-5221 - 2015
- [j16]Asim Roy:
On Findings of Category and Other Concept Cells in the Brain: Some Theoretical Perspectives on Mental Representation. Cogn. Comput. 7(3): 279-284 (2015) - [c16]Asim Roy:
Automated online feature selection and learning from high-dimensional streaming data using an ensemble of Kohonen neurons. IJCNN 2015: 1-8 - [c15]Asim Roy:
A Classification Algorithm for High-dimensional Data. INNS Conference on Big Data 2015: 345-355 - [e1]Asim Roy, Plamen Angelov, Adel M. Alimi, Ganesh Kumar Venayagamoorthy, Theodore B. Trafalis:
INNS Conference on Big Data 2015, San Francisco, CA, USA, 8-10 August 2015. Procedia Computer Science 53, Elsevier 2015 [contents] - 2011
- [j15]Patrick D. Mackin, Asim Roy, Jyrki Wallenius:
An interactive weight space reduction procedure for nonlinear multiple objective mathematical programming. Math. Program. 127(2): 425-444 (2011) - [c14]Asim Roy:
A theory of the brain - the brain uses both distributed and localist (symbolic) representation. IJCNN 2011: 215-221 - 2010
- [j14]Seiichi Ozawa, Toshihisa Tabuchi, Sho Nakasaka, Asim Roy:
An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks. J. Intell. Learn. Syst. Appl. 2(4): 179-189 (2010) - [c13]Seiichi Ozawa, Sho Nakasaka, Asim Roy:
An autonomous incremental learning algorithm of Resource Allocating Network for online pattern recognition. IJCNN 2010: 1-8 - [c12]Asim Roy:
Is the connectionist notion of subconcepts flawed? IJCNN 2010: 1-6 - [c11]Asim Roy:
On NSF "open questions, " some external properties of the brain as a learning system and an architecture for autonomous learning. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j13]Seiichi Ozawa, Asim Roy, Dmitri Roussinov:
A Multitask Learning Model for Online Pattern Recognition. IEEE Trans. Neural Networks 20(3): 430-445 (2009) - [c10]Toshihisa Tabuchi, Seiichi Ozawa, Asim Roy:
An Autonomous Learning Algorithm of Resource Allocating Network. IDEAL 2009: 134-141 - 2008
- [j12]Asim Roy, Patrick D. Mackin, Jyrki Wallenius, James Corner, Mark J. Keith, Gregory Schymik, Hina Arora:
An Interactive Search Method Based on User Preferences. Decis. Anal. 5(4): 203-229 (2008) - [j11]Asim Roy:
Connectionism, Controllers, and a Brain Theory. IEEE Trans. Syst. Man Cybern. Part A 38(6): 1434-1441 (2008) - [c9]Seiichi Ozawa, Asim Roy:
Incremental Learning for Multitask Pattern Recognition Problems. ICMLA 2008: 747-751 - [c8]Hitoshi Nishikawa, Seiichi Ozawa, Asim Roy:
A Neural Network Model for Sequential Multitask Pattern Recognition Problems. ICONIP (1) 2008: 821-828 - 2002
- [c7]Asim Roy:
Oh sure, my method is connectionist too. Who said it's not? FSKD 2002: 12 - 2001
- [c6]Asim Roy:
On connectionism and rule extraction. WIRN 2001: 269-287 - 2000
- [j10]Asim Roy:
Artificial Neural Networks - A Science in Trouble . SIGKDD Explor. 1(2): 33-38 (2000) - [j9]Asim Roy:
On connectionism, rule extraction, and brain-like learning. IEEE Trans. Fuzzy Syst. 8(2): 222-227 (2000) - [c5]Asim Roy:
A Theory of the Brain: There Are Parts of the Brain That Control Other Parts. IJCNN (2) 2000: 81-86
1990 – 1999
- 1999
- [c4]Asim Roy:
Brain's internal mechanisms - a new paradigm. IJCNN 1999: 74-79 - 1997
- [j8]Asim Roy, Somnath Mukhopadhyay:
Iterative generation of higher-order nets in polynomial time using linear programming. IEEE Trans. Neural Networks 8(2): 402-412 (1997) - [j7]Asim Roy, Sandeep Govil, Raymond Miranda:
A neural-network learning theory and a polynomial time RBF algorithm. IEEE Trans. Neural Networks 8(6): 1301-1313 (1997) - [c3]Asim Roy, Raymond Miranda:
Fuzzy logic, neural networks, and brain-like learning. ICNN 1997: 522-527 - 1996
- [c2]Leo G. Kroon, Arunabha Sen, Haiyong Deng, Asim Roy:
The Optimal Cost Chromatic Partition Problem for Trees and Interval Graphs. WG 1996: 279-292 - 1995
- [j6]Asim Roy, Sandeep Govil, Raymond Miranda:
An algorithm to generate radial basis function (RBF)-like nets for classification problems. Neural Networks 8(2): 179-201 (1995) - 1993
- [j5]Somnath Mukhopadhyay, Asim Roy, Lark Sang Kim, Sandeep Govil:
A Polynomial Time Algorithm for Generating Neural Networks for Pattern Classification: Its Stability Properties and Some Test Results. Neural Comput. 5(2): 317-330 (1993) - [j4]Asim Roy, Lark Sang Kim, Somnath Mukhopadhyay:
A polynomial time algorithm for the construction and training of a class of multilayer perceptrons. Neural Networks 6(4): 535-545 (1993) - 1992
- [j3]Asim Roy, Jyrki Wallenius:
Nonlinear multiple objective optimization: An algorithm and some theory. Math. Program. 55: 235-249 (1992) - [c1]Asim Roy:
On linear programming, neural network design, pattern classification and polynomial time training. ICPR (2) 1992: 5-8 - 1991
- [j2]Asim Roy, Somnath Mukhopadhyay:
Pattern Classification Using Linear Programming. INFORMS J. Comput. 3(1): 66-80 (1991)
1980 – 1989
- 1987
- [j1]Asim Roy:
From what if to what's best in DSS. Decis. Support Syst. 3(1): 27-35 (1987)
Coauthor Index
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