Tags: neural networks

Publications

2023

  1. A. Piplai, A. Kotal, S. Mohseni, M. Gaur, S. Mittal, and A. Joshi, "Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy", Article, IEEE Internet Computing, September 2023, 60 downloads.
  2. F. Lu, E. Raff, and F. Ferraro, "Neural Bregman Divergences for Distance Learning", InProceedings, 11th International Conference on Learning Representations, May 2023, 66 downloads.

2022

  1. 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, 203 downloads.

2021

  1. 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, 388 downloads.

2020

  1. 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, 495 downloads.
  2. 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.

2018

  1. 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, 1364 downloads.
  2. A. Padia, F. Ferraro, and T. Finin, "KG Cleaner: Identifying and Correcting Errors Produced by Information Extraction Systems", InCollection, arXiv, August 2018, 585 downloads.

2017

  1. 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, 1268 downloads.
  2. A. L. Kashyap, "Deep Representation of Lyrical Style and Semantics for Music Recommendation", PhdThesis, University of Maryland, Baltimore County, May 2017, 311 downloads.

2016

  1. 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, 276 downloads.
  2. Y. Gui, "Convexification and Deconvexification for Training Artificial Neural Networks", PhdThesis, May 2016, 258 downloads.

2015

  1. J. Lo, Y. Gui, and Y. Peng, "The Normalized Risk-Averting Error Criterion for Avoiding Nonglobal Local Minima in Training Neural Networks", Article, Neurocomputing, February 2015, 229 downloads.

2014

  1. 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, 283 downloads.

2000

  1. 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, 51 downloads.

Old Events

  1. Activity recognition from RFID sensor data
    September 25, 2005