Design and validation of a metamodel for metacognition support in artificial intelligent systems MF Caro, DP Josyula, MT Cox, JA Jiménez Biologically Inspired Cognitive Architectures 9, 82-104, 2014 | 51 | 2014 |
Fine-tuning of pre-trained deep learning models with extreme learning machine T Alshalali, D Josyula 2018 International Conference on Computational Science and Computational …, 2018 | 39 | 2018 |
The metacognitive loop and reasoning about anomalies MD Schmill, ML Anderson, S Fults, D Josyula, T Oates, D Perlis, H Shahri, ... | 39 | 2011 |
Security and privacy of electronic health records sharing using hyperledger fabric T Alshalali, K M’Bale, D Josyula 2018 International Conference on Computational Science and Computational …, 2018 | 38 | 2018 |
A unified theory of acting and agency for a universal interfacing agent DP Josyula University of Maryland, College Park, 2005 | 35 | 2005 |
A self-help guide for autonomous systems ML Anderson, S Fults, DP Josyula, T Oates, D Perlis, S Wilson, D Wright AI Magazine 29 (2), 67-67, 2008 | 29 | 2008 |
Ontologies for reasoning about failures in AI systems M Schmill, D Josyula, ML Anderson, S Wilson, T Oates, D Perlis, S Fults Proceedings from the Workshop on Metareasoning in Agent Based Systems at the …, 2007 | 25 | 2007 |
Modeling metacognition for learning in artificial systems DP Josyula, H Vadali, BJ Donahue, FC Hughes 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC …, 2009 | 21 | 2009 |
Anomaly detection on MIL-STD-1553 dataset using machine learning algorithms F Onodueze, D Josyula 2020 IEEE 19th International Conference on Trust, Security and Privacy in …, 2020 | 20 | 2020 |
Multi-level pedagogical model for the personalization of pedagogical strategies in intelligent tutoring systems MF Caro, DP Josyula, JA Jiménez Dyna 82 (194), 185-193, 2015 | 20 | 2015 |
The metacognitive loop: An architecture for building robust intelligent systems H Haidarian, W Dinalankara, S Fults, S Wilson, D Perlis, M Schmill, ... PAAAI Fall Symposium on Commonsense Knowledge (AAAI/CSK’10), 2010 | 20 | 2010 |
The role of metacognition in robust AI systems M Schmill, T Oates, ML Anderson, D Josyula, D Perlis, S Wilson, S Fults Workshop on Metareasoning at the Twenty-Third AAAI Conference on Artificial …, 2008 | 18 | 2008 |
Application of MCL in a dialog agent DP Josyula, S Fults, ML Anderson, S Wilson, D Perlis Third language and technology conference, 2007 | 15 | 2007 |
Towards domain-independent, task-oriented, conversational adequacy DP Josyula, ML Anderson, D Perlis Proceedings of the 18th international joint conference on Artificial …, 2003 | 15 | 2003 |
The use-mention distinction and its importance to HCI ML Anderson, Y Okamoto, D Josyula, D Perlis Proceedings of the Sixth Workshop on the Semantics and Pragmatics of Dialog …, 2002 | 15 | 2002 |
Radio frequency classification and anomaly detection using convolutional neural networks MA Conn, D Josyula 2019 IEEE Radar Conference (RadarConf), 1-6, 2019 | 14 | 2019 |
Metacognition for self-regulated learning in a dynamic environment DP Josyula, FC Hughes, H Vadali, BJ Donahue, F Molla, M Snowden, ... 2010 fourth ieee international conference on self-adaptive and self …, 2010 | 14 | 2010 |
A domain-specific visual language for modeling metacognition in intelligent systems MF Caro, DP Josyula, JA Jiménez, CM Kennedy, MT Cox Biologically Inspired Cognitive Architectures 13, 75-90, 2015 | 13 | 2015 |
Multi-level metacognition for adaptive behavior M Conn, K M'Bale, D Josyula Biologically inspired cognitive architectures 26, 174-183, 2018 | 11 | 2018 |
Handling Uncertainty with Active Logic M Anderson, M Bhatia, P Chi, W Chong, D Josyula, Y Okamoto, D Perlis, ... Proc. of AAAI, 2001 | 11* | 2001 |