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Past Projects

  1. ArRf - Activity Recognition with RF
  2. Context-Aware Surgical Training
  3. Semantic Discovery: Discovering Complex Relationships in Semantic Web
  4. XPod

Publications

2025

  1. P. Shukla and M. Halem, "DUNE: A Machine Learning Deep UNET++ based ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting", TechReport, August 2025, 35 downloads.
  2. A. Piplai, A. Kotal, S. Mittal, K. P. Joshi, T. Finin, and A. Joshi, "Enhancing Trustworthiness in LLM Generated Code: A Reinforcement Learning and Domain-Knowledge Constrained Approach", TechReport, CodeBot'25 Workshop, February 2025, 109 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, 35 downloads.
  2. A. Kotal, B. Luton, and A. Joshi, "KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation", TechReport, UMBC, May 2024, 299 downloads.
  3. A. Padia, F. Ferraro, and T. Finin, "Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study", InProceedings, Proceedings of AAAI-MAKE: Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge, March 2024, 742 downloads.

2023

  1. K. Darvish, E. Raff, F. Ferraro, and C. Matuszek, "Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities", Article, Transactions on Machine Learning Research, October 2023, 392 downloads.
  2. A. Kotal, N. Das, and A. Joshi, "Knowledge Infusion in Privacy Preserving Data Generation", InProceedings, KDD Workshop on Knowledge-infused Learning, 29TH ACM SIGKDD,, August 2023, 466 downloads.
  3. M. Gaur, "Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe", Proceedings, AAAI23 New Faculty Highlights, February 2023, 606 downloads.

2022

  1. V. Rawte, K. Roy, M. Chakraborty, M. Gaur, K. Faldu, P. Kikani, H. Akbari, and A. Sheth, "TDLR: Top (Semantic)-Down (Syntactic) Language Representation", InProceedings, Attention Workshop, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), November 2022, 355 downloads.
  2. 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, 1076 downloads.
  3. C. Hanks, M. Maiden, P. Ranade, T. Finin, and A. Joshi, "Recognizing and Extracting Cybersecurity Entities from Text", InProceedings, Workshop on Machine Learning for Cybersecurity, International Conference on Machine Learning, July 2022, 2438 downloads.
  4. C. Hanks, M. Maiden, P. Ranade, T. Finin, and A. Joshi, "CyberEnt: Extracting Domain Specific Entities from Cybersecurity Text", InProceedings, Mid-Atlantic Student Colloquium on Speech, Language and Learning, April 2022, 1288 downloads.
  5. C. Hanks and M. Maiden, "CyberEnt: A Cybersecurity Domain Specific Dataset for Named Entity Recognition", Misc, UMBC Undergraduate Research and Creative Achievement Day, April 2022, 836 downloads.

2021

  1. S. Chukkapalli, P. Ranade, S. Mittal, and A. Joshi, "A Privacy Preserving Anomaly Detection Framework for Cooperative Smart Farming Ecosystem", InProceedings, IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, November 2021, 675 downloads.
  2. A. Ganesan, F. Ferraro, and T. Oates, "Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment", InProceedings, Findings of the Association for Computational Linguistics, August 2021, 505 downloads.
  3. P. Ranade, A. Piplai, S. Mittal, A. Joshi, and T. Finin, "Generating Fake Cyber Threat Intelligence Using Transformer-Based Models", Proceedings, International Joint Conference on Neural Networks (IJCNN 2021), July 2021, 969 downloads, 110 citations.
  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, 1173 downloads.
  5. A. Ganesan, F. Ferraro, and T. Oates, "Locality Preserving Loss: Neighbors that Live together, Align together", InProceedings, AdaptNPT: The Second Workshop on Domain Adaptation for NLP at EACL, April 2021, 549 downloads.
  6. M. Murnane, P. Higgins, M. Saraf, F. Ferraro, C. Matuszek, and D. Engel, "A Simulator for Human-Robot Interaction in Virtual Reality", InProceedings, Conference on Virtual Reality and 3D User Interfaces, Abstracts and Workshops (VRW), March 2021, 938 downloads.
  7. P. Higgins, G. Y. Kebe, K. Darvish, D. Engel, F. Ferraro, and C. Matuszek, "Towards Making Virtual Human-Robot Interaction a Reality", InProceedings, 3rd International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions (VAM-HRI), March 2021, 875 downloads.

2020

  1. N. Pillai, E. Raff, F. Ferraro, and C. Matuszek, "Sampling Approach Matters: Active Learning for Robotic Language Acquisition", InProceedings, IEEE BigData BDML, December 2020, 1133 downloads.
  2. A. Bandi, K. P. Joshi, and V. Mulwad, "Affinity Propagation Initialisation Based Proximity Clustering For Labeling in Natural Language Based Big Data Systems", InProceedings, 6th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2020), May 2020, 638 downloads.
  3. 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, 606 downloads.
  4. A. Ganesan, F. Ferraro, and T. Oates, "Locality Preserving Loss to Align Vector Spaces", Article, arXiv:2004.03734 [cs.LG], April 2020, 633 downloads.
  5. 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, 946 downloads.

2019

  1. A. Diaz, A. Sherman, and A. Joshi, "Phishing in an academic community: A study of user susceptibility and behavior", Article, Crypologia, August 2019, 640 downloads.
  2. M. Murnane, M. Breitmeyer, F. Ferraro, C. Matuszek, and D. Engel, "Learning from Human-Robot Interactions in Modeled Scenes", InProceedings, ACM SIGGRAPH 2019 Posters, July 2019, 503 downloads.
  3. M. Murnane, M. Breitmeyer, F. Ferraro, and C. Matuszek, "Learning from Human-Robot Interactions in Modeled Scenes", InProceedings, ACM SIGGRAPH 2019 Posters, July 2019, 496 downloads.

2018

  1. D. Norris, L. Mateczun, A. Joshi, and T. Finin, "Cybersecurity at the Grassroots: American Local Governments and the Challenges of Internet Security", Article, Journal of Homeland Security and Emergency Management, September 2018, 674 downloads.
  2. R. Ayanzadeh, "Quantum Artificial Intelligence for Natural Language Processing Applications", InProceedings, SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education, February 2018.

2017

  1. D. Norris, L. Mateczun, A. Joshi, and T. Finin, "Cyber-Security at the Grassroots: Findings from a Nationwide Survey of Local Government CyberSecurity", InProceedings, 47th Annual Conference of the Urban Affairs Association, April 2017.

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, 515 downloads.
  2. Y. Gui, "Convexification and Deconvexification for Training Artificial Neural Networks", PhdThesis, May 2016, 441 downloads.

2015

  1. D. Norris, A. Joshi, and T. Finin, "Cybersecurity Challenges to American State and Local Governments", InProceedings, 15th European Conference on eGovernment, June 2015, 847 downloads.
  2. D. Norris, A. Joshi, and T. Finin, "Cyber-Security at the Grassroots: American State and Local Governments and the Management of Website Security", InProceedings, Proceedings of the Annual Conference of the Urban Affairs Association, April 2015.
  3. 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, 431 downloads.

2014

  1. P. Pappachan, R. Yus, A. Joshi, and T. Finin, "Rafiki: A Semantic and Collaborative Approach to Community Health-care in Underserved Areas", InProceedings, 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2014), October 2014, 1838 downloads.
  2. P. Pappachan, "A Semantic and Collaborative Approach to Community Health-care in Underserved Areas", MastersThesis, UMBC, July 2014, 1548 downloads.
  3. 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, 525 downloads.

2012

  1. J. Lo, Y. Gui, and Y. Peng, "Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE Training Method", InProceedings, Ninth International Symposium on Neural Networks (ISNN 2012), July 2012, 472 downloads.

2010

  1. W. Murnane, "Improving Accuracy of Named Entity Recognition on Social Media Data", MastersThesis, University of Maryland, Baltimore County, August 2010, 5961 downloads, 3 citations.
  2. Z. Syed, E. Viegas, and S. Parastatidis, "Automatic Discovery of Semantic Relations using MindNet", InProceedings, Proceedings of the Seventh International Conference on Language Resources and Evaluation, May 2010, 2503 downloads.

2009

  1. M. A. Grasso, "The Effect of Computerized Resident Sign-Out on Clarity", Proceedings, Proceedings of the AMIA 2009 Annual Symposium, November 2009, 2467 downloads.
  2. J. Martineau, T. Finin, A. Joshi, and S. Patel, "Improving Binary Classification on Text Problems using Differential Word Features", InProceedings, Proceedings of the 18th ACM Conference on Information and Knowledge Management, November 2009, 5570 downloads, 4 citations.
  3. D. Chinavle, P. Kolari, T. Oates, and T. Finin, "Ensembles in Adversarial Classification for Spam", InProceedings, Proceedings of the 18th ACM Conference on Information and Knowledge Management, November 2009, 4531 downloads, 1 citation.
  4. W. Li and A. Joshi, "Outlier Detection in Ad Hoc Networks Using Dempster-Shafer Theory", InProceedings, 10th International Conference on Mobile Data Management (MDM 2009), May 2009, 2215 downloads, 7 citations.

2007

  1. S. Agarwal, A. Joshi, T. Finin, Y. Yesha, and T. Ganous, "A Pervasive Computing System for the Operating Room of the Future", Article, Mobile Networks and Applications, August 2007, 3917 downloads.
  2. P. Ordonez, P. A. Kodeswaran, V. Korolev, W. Li, O. Walavalkar, A. Joshi, T. Finin, Y. Yesha, and I. George, "A Ubiquitous Context-Aware Environment for Surgical Training", InProceedings, Proceedings of the 4th Annual International Conference on Mobile and Ubiquitous Systems, August 2007, 2705 downloads, 1 citation.
  3. Y. Yu and Y. Peng, "Learning the Semantic Meaning of a Concept from the Web", InProceedings, Proceedings of the 20th Conference of the Canadian Society for Computational Studies of Intelligence, May 2007, 2376 downloads.
  4. S. Dornbush, J. English, T. Oates, Z. Segall, and A. Joshi, "XPod: A Human Activity Aware Learning Mobile Music Player", InProceedings, Proceedings of the Workshop on Ambient Intelligence, 20th International Joint Conference on Artificial Intelligence (IJCAI-2007), January 2007, 4542 downloads, 13 citations.

2006

  1. S. Agarwal, A. Joshi, T. Finin, and Y. Yesha, "A Pervasive Computing System for the Operating Room of the Future", TechReport, University of Maryland, Baltimore County, September 2006, 5043 downloads.
  2. S. Agarwal, A. Joshi, and T. Finin, "Context-Aware System to Create Electronic Medical Records", TechReport, July 2006, 3438 downloads.
  3. S. Gupta, A. Joshi, and T. Finin, "Context-Aware System to Create Electronic Medical Encounter Records", TechReport, UMBC, July 2006, 63 downloads.
  4. M. A. Grasso and e., "Survey of handheld computing among medical students", Article, Computer Methods and Programs in Biomedicine, June 2006, 256 downloads.
  5. S. Agarwal, "Context-Aware System to Create Electronic Medical Encounter Records", MastersThesis, May 2006, 3031 downloads, 2 citations.

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, 8113 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, 2438 downloads.

2004

  1. W. Krueger, J. Nilsson, T. Oates, and T. Finin, "Automatically Generated DAML Markup for Semistructured Documents", InBook, Agent-Mediated Knowledge Management, January 2004, 2481 downloads, 11 citations.

1994

  1. M. A. Grasso and C. Grasso, "Feasibility study of voice-driven data collection in animal drug toxicology studies", Article, Computers in Biology and Medicine, July 1994, 248 downloads, 14 citations.

1990

  1. M. Palmer and T. Finin, "Workshop on the Evaluation of Natural Language Processing Systems", Article, Computational Linguistics, September 1990, 315 downloads.

1988

  1. M. Palmer, T. Finin, and S. M. Walter, "Workshop on the Evaluation of Natural Language Processing Systems", TechReport, RADC-TR-89-302, December 1988, 303 downloads.

1986

  1. T. Finin, "Constraining the Interpretation of Nominal Compounds in a Limited Context", InBook, Analyzing Language in Restricted Domains: Sublanguage Description and Processing, January 1986, 520 downloads.

Dataset

  1. Annotations of Cybersecurity blogs and articles
  2. Splog Blog Dataset

Presentation

  1. Constraining Information Flow in Social Networks with Privacy Policies
  2. Context Aware Surgical Training (July 2007)
  3. Context Aware Surgical Training Environment
  4. Video Segmentation -- Critical View

Poster

  1. Improving Accuracy of Named Entity Recognition on Social Media Data

Old Events

  1. Generative Adversarial Networks, An Introduction
    February 1, 2017
  2. Virtual Collaboration and Training in Medicine through Multimedia e-Learning system
    February 25, 2013
  3. Analytics for Detecting Web and Social Media Abuse
    March 16, 2012
  4. Context-Aware Middleware for Activity Recognition
    May 19, 2011
  5. Improving Accuracy of Named Entity Recognition on Social Media Data
    May 19, 2010
  6. A Hybrid Approach to Unsupervised Relation Discovery via Linguistic Analysis, Entropy-based Label Ranking and Semantic Typing
    October 27, 2009
  7. Constraining Information Flow in Social Networks with Privacy Policies
    August 10, 2009
  8. Virtual Patients as Intelligent Agents
    May 8, 2009
  9. Outlier Detection in Ad Hoc Networks Using Dempster-Shafer Theory
    May 6, 2009
  10. Adversarial Classification: An Ensemble-based approach
    April 27, 2009

Old Conferences

  1. Policy Management for the Web
    May 10, 2005