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Tags: neural

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Past Projects

  1. ArRf - Activity Recognition with RF

Publications

2025

  1. P. Shukla and M. Halem, "DUNE: A Machine Learning Deep UNET++ based ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting", Article, Artificial Intelligence for the Earth Systems, October 2025, 384 downloads.

2024

  1. S. Hamer, J. Sleeman, and M. Halem, "Towards a Dynamic Data Driven AI Regional Weather Forecast Model", InProceedings, DDDAS (Dynamic Data Driven Applications Systems) 2024 to Appear in Springer, November 2024, 477 downloads.

2023

  1. P. Ranade and A. Joshi, "FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction", InProceedings, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, November 2023, 841 downloads.
  2. 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, 1132 downloads.
  3. F. Lu, E. Raff, and F. Ferraro, "Neural Bregman Divergences for Distance Learning", InProceedings, 11th International Conference on Learning Representations, May 2023, 323 downloads.

2022

  1. M. Halem, a. kochanski, J. Mandel, P. Nguyen, R. Atlas, Z. Yang, A. Bargteil, J. Sleeman, V. Caicedo, B. Demoz, D. Chapman, and K. Patel, "A Machine Learning Plume-Resolving Model Implementation over North America for Mega-Wildland Fire Smoke Impacts on Distant Planetary Boundary Layers", InProceedings, 102nd American Meteorological Society Annual Meeting, January 2022.

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, 838 downloads.
  2. J. Sleeman, I. Stajner, C. Keller, M. Halem, C. Hamer, R. Montuoro, B. Baker, and e., "The Integration of Artificial Intelligence for Improved Operational Air Quality Forecasting", InProceedings, AGU Fall Meeting 2021, December 2021.
  3. N. Pillai, C. Matuszek, and F. Ferraro, "Neural Variational Learning for Grounded Language Acquisition", InProceedings, IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), August 2021, 463 downloads.
  4. M. Rezaee and F. Ferraro, "Event Representation with Sequential, Semi-Supervised Discrete Variables", InProceedings, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2021, 1346 downloads.

2020

  1. M. Rezaee and F. Ferraro, "A Discrete Variational Recurrent Topic Model without the Reparametrization Trick", InProceedings, NeurIPS, December 2020, 740 downloads.
  2. A. Piplai, S. Mittal, A. Joshi, T. Finin, J. Holt, and R. Zak, "Creating Cybersecurity Knowledge Graphs from Malware After Action Reports", Article, IEEE Access Journal, December 2020, 1386 downloads.
  3. R. Patel and F. Ferraro, "On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling", InProceedings, EMNLP Workshop on Deep Learning Inside Out, November 2020, 544 downloads.
  4. 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, 1307 downloads.
  5. 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.
  6. A. Padia, K. Kalpakis, F. Ferraro, and T. Finin, "Knowledge Graph Inference using Tensor Embedding", InProceedings, 17th International Conference on Principles of Knowledge Representation and Reasoning, September 2020, 740 downloads.
  7. A. Piplai, S. Chukkapalli, and A. Joshi, "NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion", InProceedings, 6th IEEE International Conference on Big Data Security on Cloud, May 2020, 1577 downloads.
  8. J. Sleeman, J. E. Dorband, and M. Halem, "A hybrid quantum enabled RBM advantage: convolutional autoencoders for quantum image compression and generative learning", InProceedings, Quantum Information Science, Sensing, and Computation XII, May 2020, 689 downloads.
  9. C. H. Song, D. Lawrie, T. Finin, and J. Mayfield, "Gazetteer Generation for Neural Named Entity Recognition", InProceedings, Proceedings of the 33rd International FLAIRS Conference, May 2020, 1239 downloads.
  10. C. H. Song, D. Lawrie, and T. Finin, "Improving Neural Named Entity Recognition with Gazetteers", Article, arXiv:2003.03072, March 2020, 3197 downloads.
  11. 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, 3389 downloads, 150 citations.
  12. J. Sleeman, J. E. Dorband, and M. Halem, "A Hybrid Quantum Enabled RBM Advantage: Convolutional Autoencoders for Quantum Image Compression and Generative Learning", Article, arXiv preprint arXiv:2001.11946, January 2020, 1022 downloads.

2019

  1. J. Sleeman, V. Caicedo, M. Halem, and B. Demoz, "Using Lidar and Machine Learning to Identify Planetary Boundary Layer Heights", InProceedings, American Geophysical Union Fall Meeting Abstracts, December 2019.
  2. J. Sleeman, M. Halem, and J. E. Dorband, "RBM Image Generation Using the D-Wave 2000Q", Misc, Poster Presentation Presented at the 2019 Rising Stars in EECS Workshop, October 2019, 838 downloads.
  3. J. Sleeman, M. Halem, and J. E. Dorband, "RBM Image Generation Using the D-Wave 2000Q", Misc, D-Wave Qubits North America Conference, September 2019, 829 downloads.
  4. O. M. Singh, A. Padia, and A. Joshi, "Named Entity Recognition for Nepali Language", Article, arXiv:1908.05828 [cs.CL], August 2019, 1127 downloads.
  5. F. Ferraro, T. (. Huang, S. M. Lukin, and M. Mitchell, "Proceedings of the Second Workshop on Storytelling", Proceedings, Association for Computational Linguistics, August 2019, 770 downloads.
  6. S. Mittal, A. Joshi, and T. Finin, "Cyber-All-Intel: An AI for Security Related Threat Intelligence", TechReport, CoRR abs/1905.02895, May 2019, 778 downloads.
  7. S. Mittal, "Knowledge for Cyber Threat Intelligence", PhdThesis, University of Maryland, Baltimore County, May 2019, 695 downloads.
  8. S. Mittal, "Knowledge for Cyber Threat Intelligence", PhdThesis, May 2019, 337 downloads.

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, 1885 downloads.
  2. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", InCollection, arXiv, November 2018, 951 downloads.
  3. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", Article, arXiv preprint arXiv:1810.13223, October 2018, 743 downloads.
  4. A. Padia, F. Ferraro, and T. Finin, "KG Cleaner: Identifying and Correcting Errors Produced by Information Extraction Systems", InCollection, arXiv, August 2018, 1004 downloads.
  5. M. Mitchell, F. Ferraro, and I. Misra, "Proceedings of the First Workshop on Storytelling", Proceedings, Association for Computational Linguistics, June 2018, 823 downloads.

2017

  1. K. Khanna and A. Joshi, "AI based approach to identify compromised meters in data integrity attacks on smart grid", Article, IET Generation, Transmission and Distribution, October 2017, 1200 downloads.
  2. 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, 1637 downloads.
  3. A. L. Kashyap, "Deep Representation of Lyrical Style and Semantics for Music Recommendation", PhdThesis, University of Maryland, Baltimore County, May 2017, 640 downloads.

2016

  1. T. W. Satyapanich and T. Finin, "Event Nugget Detection Task: UMBC systems", InProceedings, Proceedings of the 9th Text Analysis Worksho, November 2016, 1412 downloads.
  2. 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, 581 downloads.
  3. Y. Gui, "Convexification and Deconvexification for Training Artificial Neural Networks", PhdThesis, May 2016, 525 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, 509 downloads.

2005

  1. S. Dornbush, K. Fisher, K. McKay, A. Prikhodko, and Z. Segall, "XPod a human activity and emotion aware mobile music player", InProceedings, Proceedings of the International Conference on Mobile Technology, Applications and Systems, November 2005, 8191 downloads, 18 citations.
  2. W. Wilson, Y. Peng, and L. L. Augsburger, "Generalization of a Prototype Intelligent Hybrid System for Hard Gelatin Capsule Formulation Development", Article, AAPS PharmSciTech, October 2005, 2519 downloads.

2002

  1. G. Kalra, Y. Peng, M. Guo, and L. L. Augsburger, "A hybrid intelligent system for formulation of BCS Class II drugs in hard gelatin capsules", InProceedings, Proceedings of the 9th International Conference on Neural Information Processing, November 2002, 4665 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, 396 downloads.

1999

  1. S. Quirolgico, K. Canfield, T. Finin, and J. A. Smith, "Communicating neural network knowledge between agents in a simulated aerial reconnaissance system", InProceedings, Proceedings of the First International Symposium on Agent Systems and Applications,, October 1999, 3199 downloads, 5 citations.

Presentation

  1. After 75 Years of AI, Can Machines Think?
  2. After 75 years of AI, Can Machines Think?
  3. After 75 Years of AI, Can Machines Think?

Old Events

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