Tags: neural networks

F. Lu, E. Raff, and F. Ferraro, "Neural Bregman Divergences for Distance Learning", InProceedings, 11th International Conference on Learning Representations, May 2023, 27 downloads.

M. Gaur, K. Gunaratna, S. Bhatt, and A. Sheth, "Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI", Article, IEEE Internet Computing, August 2022, 148 downloads.

S. Dasgupta, A. Piplai, P. Ranade, and A. Joshi, "Cybersecurity Knowledge Graph Improvement with Graph Neural Networks", InProceedings, International Conference on Big Data, December 2021, 337 downloads.

S. N. Narayanan, A. Joshi, and R. Bose, "ABATe: Automatic Behavioral Abstraction Technique to Detect Anomalies in Smart Cyber-Physical Systems", InProceedings, IEEE Transactions on Dependable and Secure Computing, October 2020, 429 downloads.
J. Sleeman, M. Halem, V. Caicedo, B. Demoz, and R. M. Delgado, "A Deep Machine Learning Approach for LIDAR Based Boundary Layer Height Detection", InProceedings, IEEE International Geoscience and Remote Sensing Symposium, October 2020.
T. W. Satyapanich, F. Ferraro, and T. Finin, "CASIE: Extracting Cybersecurity Event Information from Text", InProceedings, Proceeding of the 34th AAAI Conference on Artificial Intelligence, February 2020, 1596 downloads.

P. Ranade, S. Mittal, A. Joshi, and K. P. Joshi, "Using Deep Neural Networks to Translate Multi-lingual Threat Intelligence", InProceedings, IEEE Intelligence and Security Informatics (IEEE ISI) 2018, November 2018, 1294 downloads.
A. Padia, F. Ferraro, and T. Finin, "KG Cleaner: Identifying and Correcting Errors Produced by Information Extraction Systems", InCollection, arXiv, August 2018, 544 downloads.

S. Saha, K. P. Joshi, and A. Gupta, "A Deep Learning Approach to Understanding Cloud Service Level Agreements ", InProceedings, Fifth International IBM Cloud Academy Conference, May 2017, 1225 downloads.
A. L. Kashyap, "Deep Representation of Lyrical Style and Semantics for Music Recommendation", PhdThesis, University of Maryland, Baltimore County, May 2017, 266 downloads.

J. Lo, Y. Gui, and Y. Peng, "Training Deep Neural Networks with Gradual Deconvexification", InProceedings, International Joint Conference on Neural Networks (IJCNN 2016),, June 2016, 222 downloads.
Y. Gui, "Convexification and Deconvexification for Training Artificial Neural Networks", PhdThesis, May 2016, 196 downloads.

Y. Gui, J. Lo, and Y. Peng, "A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion", InProceedings, International Joint Conference on Neural Networks (IJCNN), July 2014, 243 downloads.

S. Quirolgico, K. Canfield, T. Finin, and J. A. Smith, "Merging Neural Networks in a Multi-Agent System", TechReport, TR EB-2000-01, January 2000, 1 download.