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Tags: learning

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Research Areas

  1. Data Mining
  2. Machine learning
  3. Question and Answering (QnA) System

Active Projects

  1. ALDA: Automated Legal Document Analytics

Past Projects

  1. Accelerated Cybersecurity
  2. ArRf - Activity Recognition with RF
  3. Context-Aware Surgical Training
  4. Feeds that matter
  5. memeta
  6. Tables to Linked Data
  7. Text Mining Approach to Ontology Enrichment
  8. XPod

Publications

2023

  1. A. Kotal, L. Elluri, D. Gupta, V. Mandalapu, and A. Joshi, "Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis", InProceedings, IEEE International Conference on Big Data (BigData), December 2023, 147 downloads.
  2. 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, 73 downloads.
  3. e., K. P. Joshi, and e., "Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach", Article, JMIR AI 2023;2:e52888, September 2023, 154 downloads.
  4. 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, 125 downloads.
  5. A. Piplai, "Knowledge Graphs and Reinforcement Learning: A Hybrid Approach for Cybersecurity Problems", PhdThesis, July 2023, 157 downloads.
  6. F. Lu, E. Raff, and F. Ferraro, "Neural Bregman Divergences for Distance Learning", InProceedings, 11th International Conference on Learning Representations, May 2023, 74 downloads.
  7. M. Gaur, "Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe", Proceedings, AAAI23 New Faculty Highlights, February 2023, 219 downloads.

2022

  1. U. Lokala, F. Lamay, R. Daniulaityte, M. Gaur, A. Gyrard, K. Thirunarayan, U. Kursuncu, and A. Sheth, "Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study", Article, JMIR Public Health and Surveillance, December 2022, 308 downloads.
  2. A. Piplai, M. Anoruo, K. Fasaye, A. Joshi, T. Finin, and A. Ridley, "Knowledge guided Two-player Reinforcement Learning for Cyber Attacks and Defenses", InProceedings, International Conference on Machine Learning and Applications, December 2022, 628 downloads.
  3. C. Hanks and R. M. Verma, "Data Quality and Linguistic Cues for Domain-independent Deception Detection", InProceedings, IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), December 2022, 72 downloads.
  4. 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, 134 downloads.
  5. F. Lu, J. Munoz, M. Fuchs, T. LeBlond, E. Zaresky-Williams, E. Raff, F. Ferraro, and B. Testa, "A General Framework for Auditing Differentially Private Machine Learning", InProceedings, Advances in Neural Information Processing Systems, November 2022, 134 downloads.
  6. K. Roy, Y. Zi, V. Narayanan, M. Gaur, and A. Sheth, "KSAT: Knowledge-infused Self Attention Transformer -- Integrating Multiple Domain-Specific Contexts", TechReport, arXiv:2210.04307 [cs.CL], October 2022, 109 downloads.
  7. A. Sheth, M. Gaur, K. Roy, R. Venkataraman, and V. Khandelwal, "Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety", Article, IEEE Internet Computing, September 2022, 162 downloads.
  8. P. Ranade, S. Dey, A. Joshi, and T. Finin, "Computational Understanding of Narratives: A Survey", Article, IEEE Access, September 2022, 290 downloads.
  9. D. Ghosh, P. Gupta, S. Dixit, and R. Yus, "JENNER: Just-in-time Enrichment in Query Processing", InProceedings, Proceedings of the VLDB Endowment, September 2022, 238 downloads.
  10. 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, 230 downloads.
  11. 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, 1026 downloads.
  12. G. Y. Kebe, L. E. Richards, E. Raff, F. Ferraro, and C. Matuszek, "Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech", InProceedings, Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), June 2022, 86 downloads.
  13. 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, 788 downloads.
  14. F. Lu, F. Ferraro, and E. Raff, "Continuously Generalized Ordinal Regression for Linear and Deep Models", InProceedings, SIAM International Conference on Data Mining, April 2022, 182 downloads.
  15. A. Kotal, A. Piplai, S. Chukkapalli, and A. Joshi, "PriveTAB : Secure and Privacy-Preserving sharing of Tabular Data", InProceedings, ACM International Workshop on Security and Privacy Analytics, April 2022, 378 downloads.
  16. A. Chio, D. Jiang, P. Gupta, G. Bouloukakis, R. Yus, S. Mehrotra, and N. Venkatasubramanian, "Artifact: SmartSPEC: Customizable Smart Space Datasets via Event-driven Simulations", InProceedings, 20th International Conference on Pervasive Computing and Communications, March 2022, 136 downloads.
  17. 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. M. Halem, K. Patel, Z. Yang, and J. Sleeman, "The Use of Machine Learning to Infer the Transport Influence of US West Coast WildFires on the US East Coast Planetary Boundary Layer", InProceedings, AGU Fall Meeting 2021, December 2021.
  2. 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, 416 downloads.
  3. 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.
  4. G. Shan, B. Zhao, J. Clavin, H. Zhang, and S. Duan, "Poligraph: Intrusion-Tolerant and Distributed Fake News Detection System", Article, IEEE Transactions on Information Forensics and Security, November 2021.
  5. K. Patel, J. Sleeman, and M. Halem, "Physics-aware deep edge detection network", InProceedings, Proceedings Volume 11859, Remote Sensing of Clouds and the Atmosphere XXVI; SPIE Remote Sensing, September 2021, 283 downloads.
  6. L. Elluri, A. Piplai, A. Kotal, A. Joshi, and K. P. Joshi, "A Policy-Driven Approach to Secure Extraction of COVID-19 Data From Research Papers", Article, Frontiers in Big Data, doi: 10.3389/fdata.2021.701966, August 2021, 373 downloads.
  7. 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, 186 downloads.
  8. 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, 312 downloads.
  9. N. Pillai, C. Matuszek, and F. Ferraro, "Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data", InProceedings, 34th International FLAIRS Conference (FLAIRS-34), May 2021, 366 downloads.
  10. 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, 491 downloads.
  11. D. Ziaei, J. Sleeman, M. Halem, V. Caicedo, R. M. Delgado, and B. Demoz, "Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction", InProceedings, AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, March 2021, 366 downloads.
  12. Z. Ali, D. Ziaei, J. Sleeman, Z. Yang, and M. Halem, "LSTMs for Inferring Planetary Boundary Layer Height (PBLH)", InProceedings, AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, March 2021, 405 downloads.
  13. 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, 560 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, 654 downloads.
  2. S. Dasgupta, A. Piplai, A. Kotal, and A. Joshi, "A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity", InProceedings, IEEE International Conference on Big Data 2020, December 2020, 1011 downloads.
  3. A. Piplai, P. Ranade, A. Kotal, S. Mittal, S. N. Narayanan, and A. Joshi, "Using Knowledge Graphs and Reinforcement Learning for Malware Analysis", InProceedings, IEEE International Conference on Big Data 2020, December 2020, 986 downloads.
  4. K. P. Joshi and S. Saha, "A Semantically Rich Framework for Knowledge Representation of Code of Federal Regulations (CFR)", Article, Digital Government: Research and Practice, December 2020, 363 downloads.
  5. N. K. Choudhary, S. Chukkapalli, S. Mittal, M. Gupta, M. Abdelsalam, and A. Joshi, "YieldPredict: A Crop Yield Prediction Framework for Smart Farms", IEEE International Conference on Big Data 2020, November 2020, 579 downloads.
  6. 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.
  7. 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, 430 downloads.
  8. A. T. Nguyen, L. E. Richards, G. Y. Kebe, E. Raff, K. Darvish, F. Ferraro, and C. Matuszek, "Practical Cross-modal Manifold Alignment for Grounded Language", Article, arXiv:2009.05147 [cs.CV], September 2020, 271 downloads.
  9. P. Jenkins, R. Sachdeva, G. Y. Kebe, P. Higgins, K. Darvish, E. Raff, D. Engel, J. Winder, F. Ferraro, and C. Matuszek, "Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning", Article, arXiv:2007.14987 [cs.RO], July 2020, 276 downloads.
  10. Z. Boukouvalas, C. Mallinson, E. Crothers, N. Japkowicz, A. Piplai, S. Mittal, A. Joshi, and T. Adali, "Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19", Article, arXiv:2006.01284 [cs.LG], June 2020, 373 downloads.
  11. 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, 867 downloads.
  12. 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, 431 downloads.
  13. 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, 384 downloads.
  14. R. Ayanzadeh, M. Halem, and T. Finin, "Reinforcement Quantum Annealing: A Hybrid Quantum Learning Automata", Article, Nature Scientific Reports, May 2020, 480 downloads.
  15. R. Ayanzadeh, "Leveraging Artificial Intelligence to Advance Problem-Solving with Quantum Annealers", PhdThesis, University of Maryland, Baltimore County, May 2020, 652 downloads.
  16. 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, 589 downloads.
  17. R. Ayanzadeh, M. Halem, and T. Finin, "Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach", Article, arXiv:2001.00234 [quant-ph], January 2020, 600 downloads.

2019

  1. T. W. Satyapanich, T. Finin, and F. Ferraro, "Extracting Rich Semantic Information about Cybersecurity Events", InProceedings, Second Workshop on Big Data for CyberSecurity, held in conjunction with the IEEE Int. Conf. on Big Data, December 2019, 904 downloads.
  2. R. Ayanzadeh, M. Halem, and T. Finin, "Compressive Geospatial Analytics", InProceedings, American Geophysical Union, Fall Meeting 2019, December 2019.
  3. 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.
  4. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, University of Maryland, Baltimore County, December 2019, 359 downloads.
  5. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, October 2019, 683 downloads.
  6. C. Kery, N. Pillai, C. Matuszek, and F. Ferraro, "Building Language-Agnostic Grounded Language Learning Systems", InProceedings, 28th International Conference on Robot and Human Interactive Communication (Ro-Man), October 2019, 392 downloads.
  7. M. M. Rahman and T. Finin, "Unfolding the Structure of a Document using Deep Learning", arXiv:1910.03678, September 2019, 487 downloads.
  8. 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, 499 downloads.
  9. 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, 280 downloads.
  10. M. Murnane, M. Breitmeyer, F. Ferraro, and C. Matuszek, "Learning from Human-Robot Interactions in Modeled Scenes", InProceedings, ACM SIGGRAPH 2019 Posters, July 2019, 268 downloads.
  11. L. Elluri, V. Mandalapu, and N. Roy, "Developing Machine Learning based Predictive Models for Smart Policing", InProceedings, International Conference on Smart Computing (SMARTCOMP), June 2019, 607 downloads.
  12. C. Kery, F. Ferraro, and C. Matuszek, "¿Es un plátano? Exploring the Application of a Physically Grounded Language Acquisition System to Spanish", NAACL Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics, June 2019, 400 downloads.
  13. S. K. Singh, R. Bose, and A. Joshi, "Energy theft detection for AMI using principal component analysis based reconstructed data", Article, IET Cyber-Physical Systems: Theory & Applications, June 2019, 865 downloads.
  14. N. Pillai, F. Ferraro, and C. Matuszek, "Deep Learning for Category-Free Grounded Language Acquisition", NAACL Workshop on Spatial Language Understanding and Grounded Communication for Robotics, June 2019, 330 downloads.
  15. A. Pingle, A. Piplai, S. Mittal, A. Joshi, J. Holt, and R. Zak, "RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement", InProceedings, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019), May 2019, 917 downloads.
  16. S. Ramapatruni, S. N. Narayanan, S. Mittal, A. Joshi, and K. P. Joshi, "Anomaly Detection Models for Smart Home Security", InProceedings, 5th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2019), April 2019, 1307 downloads.

2018

  1. J. Sleeman, "Variational Autoencoders using D-Wave Quantum Annealing", InProceedings, American Geophysical Union Fall Meeting Abstracts, December 2018.
  2. S. N. Narayanan, A. Ganesan, K. P. Joshi, T. Oates, A. Joshi, and T. Finin, "Early Detection of Cybersecurity Threats Using Collaborative Cognition", InProceedings, Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing (CIC), October 2018, 3108 downloads.
  3. M. M. Rahman and T. Finin, "Understanding and representing the semantics of large structured documents", InProceedings, Proceedings of the 4th Workshop on Semantic Deep Learning (SemDeep-4, ISWC), October 2018, 818 downloads.
  4. N. Pillai, F. Ferraro, and C. Matuszek, "Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition", Workshop on Models and Representations for Natural Human-Robot Communication (Robotics: Science and Systems), June 2018, 395 downloads.
  5. M. M. Rahman, "Understanding the Logical and Semantic Structure of Large Documents", PhdThesis, University of Maryland, Baltimore County, May 2018, 387 downloads.

2017

  1. M. M. Rahman and T. Finin, "Deep Understanding of a Document's Structure", InProceedings, 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, December 2017, 1204 downloads.
  2. A. Padia, "Cleaning Noisy Knowledge Graphs", InProceedings, Proceedings of the Doctoral Consortium at the 16th International Semantic Web Conference, October 2017, 1178 downloads.
  3. 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, 896 downloads.
  4. M. M. Rahman and T. Finin, "Understanding the Logical and Semantic Structure of Large Documents", Article, arXiv e-print, September 2017, 935 downloads.
  5. F. Ferraro, A. Poliak, R. Cotterell, and B. Van Durme, "Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles", InProceedings, Proceedings of the Sixth Joint Conference on Lexical and Computational Semantics (*SEM), August 2017, 545 downloads.
  6. J. Sleeman, "Dynamic Data Assimilation for Topic Modeling (DDATM)", PhdThesis, University of Maryland, Baltimore County, July 2017.
  7. 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, 1286 downloads.
  8. A. L. Kashyap, "Deep Representation of Lyrical Style and Semantics for Music Recommendation", PhdThesis, University of Maryland, Baltimore County, May 2017, 322 downloads.
  9. M. M. Rahman, "Understanding the Logical and Semantic Structure of Large Documents", Proceedings, SDM 2016 Doctoral Forum, SIAM International Conference on Data Mining , April 2017, 781 downloads.

2016

  1. A. Padia, K. Kalpakis, and T. Finin, "Inferring Relations in Knowledge Graphs with Tensor Decompositions", InProceedings, IEEE International Conference on Big Data , December 2016, 1444 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, 293 downloads.
  3. Y. Gui, "Convexification and Deconvexification for Training Artificial Neural Networks", PhdThesis, May 2016, 274 downloads.
  4. A. L. Kashyap, L. Han, R. Yus, J. Sleeman, T. W. Satyapanich, S. R. Gandhi, and T. Finin, "Robust Semantic Text Similarity Using LSA, Machine Learning and Linguistic Resources", Article, Language Resources and Evaluation, March 2016, 2153 downloads.
  5. F. Ferraro and B. Van Durme, "A Unified Bayesian Model of Scripts, Frames and Language.", InProceedings, Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 2016, 538 downloads.

2015

  1. S. N. Narayanan, S. Mittal, and A. Joshi, "Using Data Analytics to Detect Anomalous States in Vehicles", TechReport, December 2015, 1624 downloads.
  2. W. Li, A. Joshi, and T. Finin, "SVM-CASE: An SVM-based Context Aware Security Framework for Vehicular Ad-hoc Networks", InProceedings, 82nd IEEE Vehicular Technology Conference, September 2015, 1454 downloads.
  3. L. Zavala, P. K. Murukannaiah, N. Poosamani, T. Finin, A. Joshi, I. Rhee, and M. Singh, "Platys: From Position to Place- Oriented Mobile Computing", Article, AI Magazine, June 2015, 1226 downloads.
  4. J. Sleeman, T. Finin, and A. Joshi, "Entity Type Recognition for Heterogeneous Semantic Graphs", Article, AI Magazine, March 2015, 1563 downloads.

2014

  1. J. Sleeman and T. Finin, "Taming Wild Big Data", InProceedings, AAAI Fall Symposium on Natural Language Access to Big Data, November 2014, 1290 downloads.
  2. V. Mulwad, T. Finin, and A. Joshi, "Interpreting Medical Tables as Linked Data to Generate Meta-Analysis Reports", InProceedings, Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, August 2014, 1249 downloads.
  3. V. Korolev and A. Joshi, "PROB: A tool for Tracking Provenance and Reproducibility of Big Data Experiments", InProceedings, Reproduce '14. HPCA 2014, March 2014, 1754 downloads.

2013

  1. V. Korolev, M. A. Grasso, and A. Joshi, "On Use of Machine Learning Techniques and Genotypes for Prediction of Chronic Diseases", InProceedings, AMIA Annual Symposium, November 2013.
  2. J. Lee, K. Jung, B. Kim, Y. Peng, and H. Cho, "Semantic web-based supplier discovery system for building a long-term supply chain", Article, International Journal of Computer Integrated Manufacturing, November 2013.
  3. J. Sleeman and T. Finin, "Recognizing Entity Types in Heterogeneous Semantic Graphs", InProceedings, AAAI 2013 Fall Symposium on Semantics for Big Data, November 2013, 1572 downloads.
  4. V. Mulwad, T. Finin, and A. Joshi, "Semantic Message Passing for Generating Linked Data from Tables", InProceedings, Proceedings of the 12th International Semantic Web Conference, October 2013, 2189 downloads.
  5. J. Sleeman and T. Finin, "Type Prediction for Efficient Coreference Resolution in Heterogeneous Semantic Graphs", InProceedings, Proceedings of the Seventh IEEE International Conference on Semantic Computing, September 2013, 1301 downloads.
  6. J. Martineau, D. Cheng, and T. Finin, "TISA: Topic Independence Scoring Algorithm", InProceedings, Proceedings of the 9th Internastional Conference on Machine Learning and Data Mining, July 2013, 1065 downloads.

2012

  1. M. A. Grasso, D. Dalvi, S. Das, V. Korolev, and Y. Yesha, "Genetic information for chronic desease prediction", InProceedings, Bioinformatics and Biomedicine Workshops (BIBMW), November 2012.
  2. J. Sleeman and T. Finin, "Cluster-based Instance Consolidation For Subsequent Matching", InProceedings, First International Workshop on Knowledge Extraction and Consolidation from Social Media, November 2012, 1333 downloads.
  3. V. Mulwad, T. Finin, and A. Joshi, "A Domain Independent Framework for Extracting Linked Semantic Data from Tables", InCollection, Search Computing - Broadening Web Search, July 2012, 1740 downloads.
  4. A. Lahane, Y. Yesha, M. A. Grasso, A. Joshi, and e., "Detection of Unsafe Action from Laparoscopic Cholecystectomy Video", InProceedings, Proceedings of ACM SIGHIT International Health Informatics Symposium, January 2012, 1697 downloads.

2011

  1. J. Martineau, "Identifying and Isolating Text Classification Signals from Domain and Genre Noise for Sentiment Analysis", PhdThesis, University of Maryland, Baltimore County, December 2011, 2593 downloads.
  2. V. Mulwad, T. Finin, and A. Joshi, "Automatically Generating Government Linked Data from Tables", InCollection, Working notes of AAAI Fall Symposium on Open Government Knowledge: AI Opportunities and Challenges, November 2011, 3274 downloads.
  3. W. Li, A. Joshi, and T. Finin, "SAT: an SVM-based Automated Trust Management System for Mobile Ad-hoc Networks", InProceedings, Proceedings of the 2011 Military Communications Conference, November 2011, 1831 downloads.
  4. V. Mulwad, "DC Proposal: Graphical Models and Probabilistic Reasoning for Generating Linked Data from Tables", InProceedings, Proceedings of Tenth International Semantic Web Conference, Part II, October 2011, 2569 downloads.
  5. A. Iyengar, T. Finin, and A. Joshi, "Content-based prediction of temporal boundaries for events in Twitter", InProceedings, Proceedings of the Third IEEE International Conference on Social Computing, October 2011, 2098 downloads.
  6. M. desJardins, A. Ciavolino, R. Deloatch, and E. Feasley, "Playing to Program: Towards an Intelligent Programming Tutor for RUR-PLE", InProceedings, Proceedings of the Second Symposium on Educational Advances in Artificial Intelligence, August 2011, 1718 downloads.
  7. L. Zavala, R. Dharurkar, P. Jagtap, T. Finin, and A. Joshi, "Mobile, Collaborative, Context-Aware Systems", InProceedings, Proceedings of the AAAI Workshop on Activity Context Representation: Techniques and Languages , August 2011, 2893 downloads.
  8. N. Chinnam, "Group recognition in social networks", MastersThesis, University of Maryland, Baltimore County, June 2011, 2705 downloads.
  9. R. Dharurkar, "Context-Aware Middleware for Activity Recognition", MastersThesis, University of Maryland, Baltimore County, May 2011, 1456 downloads.

2010

  1. J. Sleeman and T. Finin, "Learning Co-reference Relations for FOAF Instances", InProceedings, Proceedings of the Poster and Demonstration Session at the 9th International Semantic Web Conference, November 2010, 2817 downloads, 2 citations.
  2. J. Sleeman and T. Finin, "Computing FOAF Co-reference Relations with Rules and Machine Learning", InProceedings, Proceedings of the Third International Workshop on Social Data on the Web at ISWC2010, November 2010, 4064 downloads, 30 citations.
  3. V. Mulwad, "T2LD - An automatic framework for extracting, interpreting and representing tables as Linked Data", MastersThesis, UMBC, August 2010, 3552 downloads.
  4. A. Karandikar, "Clustering short status messages: A topic model based approach", MastersThesis, University of Maryland, Baltimore County, July 2010, 10217 downloads.
  5. Z. Syed and T. Finin, "Unsupervised techniques for discovering ontology elements from Wikipedia article links", InProceedings, Proceedings of the First International Workshop on Formalisms and Methodology for Learning by Reading , June 2010, 2694 downloads.
  6. Z. Syed and E. Viegas, "A Hybrid Approach to Unsupervised Relation Discovery Based on Linguistic Analysis and Semantic Typing", InProceedings, Proceedings of the First International Workshop on Formalisms and Methodology for Learning by Reading , June 2010, 1890 downloads.
  7. 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, 2300 downloads.
  8. J. Sleeman and T. Finin, "A Machine Learning Approach to Linking FOAF Instances", InProceedings, Proceedings of the AAAI Spring Symposium on Linked Data Meets Artificial Intelligence, January 2010, 2624 downloads, 5 citations.

2009

  1. 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, 5135 downloads, 4 citations.
  2. 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, 4251 downloads, 1 citation.
  3. P. McNamee, M. Dredze, A. Gerber, N. Garera, T. Finin, J. Mayfield, C. Piatko, D. Rao, D. Yarowsky, and M. Dreyer, "HLTCOE Approaches to Knowledge Base Population at TAC 2009", InProceedings, Proceedings of the 2009 Text Analysis Conference, November 2009, 1494 downloads, 6 citations.
  4. J. Martineau and T. Finin, "Delta TFIDF: An Improved Feature Space for Sentiment Analysis", InProceedings, Proceedings of the Third International Conference on Web and Social Media, May 2009, 7228 downloads, 5 citations.
  5. J. Mayfield, D. Alexander, B. J. Dorr, J. Eisner, T. Elsayed, T. Finin, C. Fink, M. Freedman, N. Garera, P. McNamee, D. Oard, C. Piatko, Z. Syed, R. Weischedel, D. Yarowsky, and e., "Cross-Document Coreference Resolution: A Key Technology for Learning by Reading", InProceedings, Proceedings of the AAAI 2009 Spring Symposium on Learning by Reading and Learning to Read, March 2009, 3341 downloads, 6 citations.

2008

  1. L. Han and T. Finin, "Predicting Appropriate Semantic Web Terms from Words", InProceedings, Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, July 2008, 2389 downloads.

2007

  1. P. Kolari, "Detecting Spam Blogs: An Adaptive Online Approach", PhdThesis, Ph.D. Dissertation, December 2007, 8608 downloads, 3 citations.
  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, 2451 downloads, 1 citation.
  3. J. Martineau, A. Java, P. Kolari, A. Joshi, T. Finin, and J. Mayfield, "BlogVox: Learning Sentiment Classifiers", InProceedings, Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, July 2007, 1966 downloads, 2 citations.
  4. 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, 2165 downloads.
  5. 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, 4324 downloads, 13 citations.

2006

  1. P. Kolari, A. Java, T. Finin, T. Oates, and A. Joshi, "Detecting Spam Blogs: A Machine Learning Approach", InProceedings, Proceedings of the 21st National Conference on Artificial Intelligence (AAAI 2006), July 2006, 11358 downloads, 75 citations.
  2. P. Kolari, A. Java, and T. Finin, "Characterizing the Splogosphere", InProceedings, Proceedings of the 3rd Annual Workshop on Weblogging Ecosystem: Aggregation, Analysis and Dynamics, 15th World Wid Web Conference, May 2006, 7498 downloads, 84 citations.
  3. P. Kolari, T. Finin, and A. Joshi, "SVMs for the Blogosphere: Blog Identification and Splog Detection", InProceedings, AAAI Spring Symposium on Computational Approaches to Analysing Weblogs, March 2006, 14066 downloads, 112 citations.

2005

  1. Y. Peng and Z. Ding, "Modifying Bayesian Networks by Probability Constraints", InProceedings, Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence, July 2005, 2721 downloads, 18 citations.
  2. Z. Ding, Y. Peng, R. Pan, and Y. Yu, "A Bayesian Methodology towards Automatic Ontology Mapping", InProceedings, Proceedings of the AAAI-05 C&O Workshop on Contexts and Ontologies: Theory, Practice and Applications, July 2005, 5060 downloads, 20 citations.

2004

  1. V. Parekh, J. (. Gwo, and T. Finin, "Mining Domain Specific Texts and Glossaries to Evaluate and Enrich Domain Ontologies", InProceedings, International Conference of Information and Knowledge Engineering, June 2004, 8102 downloads, 24 citations.

2003

  1. L. Ding, L. Zhou, and T. Finin, "Trust Based Knowledge Outsourcing for Semantic Web Agents", InProceedings, Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence, October 2003, 3505 downloads, 47 citations.
  2. X. Luan, Y. Peng, and T. Finin, "Learning in the Broker Agent", InBook, Innovative Concepts for Agent-Based Systems, January 2003, 1222 downloads.

2000

  1. T. Finin and B. Grosof, "Knowledge-Based Electronic Markets", Proceedings, AAAI Press, August 2000, 2 citations.
  2. 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, 63 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, 2915 downloads, 5 citations.
  2. T. Finin and B. Grosof, "Artificial Intelligence for Electronic Commerce", Proceedings, AAAI Press, July 1999.
  3. X. Luan, Y. Peng, and T. Finin, "Learning in Broker Agent", InProceedings, Proceedings of the Sixteenth National Conference on Artificial Intelligence, AAAI-99, July 1999, 23 downloads.

1989

  1. T. Finin and G. Morris, "Abductive reasoning in multiple fault diagnosis", Article, Artificial Intelligence Review, July 1989, 1071 downloads.

1987

  1. E. Schuster and T. Finin, "VP 2 : the role of user modelling in correcting errors in second language learning", InBook, Artificial Intelligence and its Applications, January 1987, 56 downloads.

Presentation

  1. Automatically Generating Linked Data from Tables
  2. Coarse and Fine Grained Sentiment Analysis of Online Text
  3. Context Aware Surgical Training Environment
  4. Detecting Domain Shift
  5. Learning the Semantic Meaning of a Concept from the Web
  6. Recognizing Activities using RFID
  7. Recognizing Activities using RFID
  8. Sixty years of knowledge graphs for language understanding
  9. Understanding Malware Behavior with Reinforcement Learning
  10. XPod IJCAI Presentation

Poster

  1. Detecting Spam Blogs: A Machine Learning Approach

Web Site

  1. Resource Guide for Trust on the Semantic Web

Dataset

  1. Splog Blog Dataset
  2. Structural Metadata from ArXiv Articles

Old News

  1. Looking back at the ebiquity research group's 2006
    January 1, 2007
  2. Welcome to the Splogosphere
    December 16, 2005

Old Events

  1. Modeling and Extracting information about Cybersecurity Events from Text
    May 16, 2017
  2. Generative Adversarial Networks, An Introduction
    February 1, 2017
  3. Is your personal data at risk? App analytics to the rescue
    September 28, 2015
  4. Many Facets of Energy Disaggregation
    October 29, 2014
  5. Tutorials by Center for Hybrid Multicore Productivity Research students
    June 12, 2013
  6. Phd proposal: A Semantic Resolution Framework for Manufacturing Capability Data Integration
    May 14, 2013
  7. Information Extraction of Security related entities and concepts from unstructured text
    April 1, 2013
  8. Predicting Chronic Diseases with Machine Learning
    March 5, 2013
  9. Virtual Collaboration and Training in Medicine through Multimedia e-Learning system
    February 25, 2013
  10. Analytics for Detecting Web and Social Media Abuse
    March 16, 2012