Fuad Abu Zahra and Rohit J. Kate. Obtaining Clinical Term Embeddings from SNOMED CT Ontology, Journal of Biomedical Informatics, Volume 149, January 2024, 104560.

Md Abu Sayed, Xiao Qin, Rohit J.Kate, D. M. Anisuzzaman and Zeyun Yu. Identification and Analysis of Misclassified Work-Zone Crashes Using Text Mining Techniques, Accident Analysis & Prevention, Volume 159, September 2021, 106211.

Rohit J. Kate. Clinical Term Normalization Using Learned Edit Patterns and Subconcept Matching: System Development and Evaluation, JMIR Medical Informatics, Volume 9, Number 1, e23104, January 2021.

Rohit J. Kate. Automatic Full Conversion of Clinical Terms into SNOMED CT Concepts, Journal of Biomedical Informatics, Volume 111, November 2020, 103585.

Rohit J. Kate, Noah Pearce, Debesh Mazumdar and Vani Nilakantan. A Continual Prediction Model for Inpatient Acute Kidney Injury. Computers in Biology and Medicine, Volume 116, 103580, January 2020. Earlier arXiv version.

Omid Ghiasvand and Rohit J. Kate. Learning for Clinical Named Entity Recognition without Manual Annotations. Informatics in Medicine Unlocked, Volume 13, 122-127, October 2018.

Rohit J. Kate, Sarah Rubatt, Chukuka S. Enwemeka and Wendy E. Huddleston. Optimal Laser Phototherapy Parameters for Pain Relief. Photomedicine and Laser Surgery, Volume 36, Number 7, 354-362, July 2018.

Elham Sagheb Hossein Pour and Rohit J. Kate. Stage-Specific Survivability Prediction Models across Different Cancer Types. In Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium, pp. 1404-1412, Washington, DC, November 2017.

Rohit J. Kate and Ramya Nadig. Stage-Specific Predictive Models for Breast Cancer Survibability. International Journal of Medical Informatics, Volume 97, 304-311, January 2017.

Rohit J. Kate, Ruth M. Perez, Debesh Mazumdar, Kalyan S. Pasupathy and Vani Nilakantan. Prediction and Detection Models for Acute Kidney Injury in Hospitalized Older Adults. BMC Medical Informatics and Decision Making, 2016, 16:39.

Rohit J. Kate, Ann M. Swartz,  Whitney A. Welch and Scott J. Strath. Comparative Evaluation of Features and Techniques for Identifying Activity Type and Estimating Energy Cost from Accelerometer Data. Physiological Measurement, Volume 37, Number 3, 360-379, March 2016.

Rohit J. Kate. Using Dynamic Time Warping Distances as Features for Improved Time Series Classification. Data Mining and Knowledge Discovery, Volume 30, Issue 2, 283-312, March 2016.

Rohit J. Kate. Normalizing Clinical Terms Using Learned Edit Distance Patterns. Journal of the American Medical Informatics Association, Volume 23, Issue 2, 380-386, March 2016.

Scott J. Strath, Rohit J. Kate, Kevin G. Keenan, Whitney A. Welch and Ann M. Swartz. Ngram Time Series Model to Predict Activity Type and Energy Cost from Wrist, Hip and Ankle Accelerometers: Implications of Age. Physiological Measurement, Volume 36, Number 11, 2335-2351, November 2015.

Omid Ghiasvand and Rohit J. Kate. UWM: A Simple Baseline Method for Identifying Attributes of Disease and Disorder Mentions in Clinical Text. In Proceedings of Ninth International Workshop on Semantic Evaluation (SemEval-2015), pp. 385-388, Denver, Colorado, June 2015.

Omid Ghiasvand and Rohit J. Kate. UWM: Disorder Mention Extraction from Clinical Text Using CRFs and Normalization Using Learned Edit Distance Patterns. In Proceedings of the Eight International Workshop on Semantic Evaluation (SemEval-2014), pp. 828-832, Dublin, Ireland, August 2014.

Rohit J. Kate. UWM: Applying an Existing Trainable Semantic Parser to Parse Robotic Spatial Commands. In Proceedings of the Eight International Workshop on Semantic Evaluation (SemEval-2014), pp. 823-827, Dublin, Ireland, August 2014.

Rohit J. Kate. Towards Converting Clinical Phrases into SNOMED CT Expressions. Biomedical Informatics Insights 2013:6 (Suppl. 1) 29-37.

Rohit J. Kate. Towards Converting Clinical Phrases into SNOMED CT Expressions. In Proceedings of the International Conference on Computational Semantics (IWCS) 2013 Workshop on Computational Semantics in Clinical Text (CSCT), pp. 34-43, Potsdam, Germany, March 2013 (See the journal paper for the extended version.)

Rohit J. Kate. Unsupervised Grammar Induction of Clinical Report Sublanguage. Journal of Biomedical Semantics 2012, 3(Suppl 3):S4.

Rohit J. Kate. Optimal Code Length Based Cost for Unsupervised Grammar Induction. Invited Paper. In Proceedings of the National Conference on Innovative Trends in Technology Developments (TECHNOCON 2012), pp. 68-76, Wardha, India, January 2012.

Rohit J. Kate. Unsupervised Grammar Induction of Clinical Report Sublanguage. In Proceedings of  the International Conference on Machine Learning and Applications (ICMLA 2011) in the special session on Machine Learning for Biomedical Literature Analysis and Text Retrieval, pp 53-58, Honolulu, Hawaii, December 2011.

James Blythe, Jerry R. Hobbs, Pedro Domingos, Rohit J. Kate and Raymond J. Mooney. Implementing Weighted Abduction in Markov Logic. In Proceedings of the International Conference on Computational Semantics, pp. 55-64, Oxford, England, January 2011.

Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan, Martin Franz, Radu Florian, Raymond J. Mooney, Salim Roukos and Chris Welty. Learning to Predict Readability using Diverse Linguistic Features. In proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), pp. 546-554, Beijing, China, August 2010.

Rohit J. Kate and Raymond J. Mooney. Joint Entity and Relation Extraction using Card-Pyramid Parsing. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning (CoNLL-2010), pp. 203-212, Uppsala, Sweden, July 2010.

Rohit J. Kate and Raymond J. Mooney. Probabilistic Abduction using Markov Logic Networks. In Proceedings of IJCAI 2009 Workshop on Plan, Activity, and Intent Recognition (PAIR), 2009, pp. 22-28, Pasadena, CA, July 2009.

Rohit J. Kate. A Dependency-based Word Subsequence Kernel. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2008), pp. 400-409, Waikiki, Honolulu, Hawaii, October 2008.

Rohit J. Kate. Transforming Meaning Representation Grammars to Improve Semantic Parsing. In Proceedings of the Twelfth Conference on Computational Natural Language Learning (CoNLL 2008), pp. 33-40, Manchester, UK, August 2008.

Rohit J. Kate and Raymond J. Mooney. Learning Language Semantics form Ambiguous Supervision. In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI 2007), pp. 895-900, Vancouver, Canada, July 2007.

Rohit J. Kate and Raymond J. Mooney. Semi-Supervised Learning for Semantic Parsing using Support Vector Machines. In Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (NAACL/HLT-2007), pp. 81-84 (short paper), Rochester, NY, April 2007.

Rohit J. Kate and Raymond J. Mooney. Using String-Kernels for Learning Semantic Parsers. In Proceedings of the Joint 21st International Conference on Computational Linguistics and 44th Annual Meeting of Association for Computational Linguistics (COLING/ACL 2006), pp. 913-920, Sydney, Australia, July 2006.

Rohit J. Kate, Yuk Wah Wong and Raymond J. Mooney. Learning to Transform Natural to Formal Languages. In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), pp. 1062–1068, Pittsburgh, PA, July 2005.

Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Edward M. Marcotte, Raymond J. Mooney, Arun Kumar Ramani, and Yuk Wah Wong. Comparative Experiments on Learning Information Extractors for Proteins and their Interactions. Artificial Intelligence in Medicine (Special issue on Summarization and Information Extraction from Medical Documents), 33, 2 (2005), pp. 139-155.

Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Raymond J. Mooney, Yuk Wah Wong, Edward M. Marcotte and Arun Kumar Ramani. Learning to Extract Proteins and their Interactions from Medline Abstracts. In Proceedings of the International Conference on Machine Learning (ICML) 2003 Workshop on Machine Learning in Bioinformatics, pp. 46-53, Washington DC, August 2003.

Rohit Jaivant Kate, Prem Kalra, Subhashis Banerjee. Towards an Automated Approach for View-Dependent Geometry. International Journal of Image and Graphics, Vol. 2, No. 3, pp. 413-423, July, 2002.

T. A. Faruquie, A. Kapoor, R. Kate, N. Rajput and L. V. Subramaniam Audio Driven Facial Animation for Audio-Visual Reality. In Proceedings of IEEE International Conference on Multimedia and Expo (ICME) 2001, Tokyo, Japan, 22nd-25th August, 2001.

Abstracts

Scott J. Strath, Julian Martinez, Edward L. Melanson, Ann M. Swartz, Chris C. Cho and Rohit J. Kate Deep Learning Methods to Classify Posture, Movement, and Activity Intensity from Hip and Wrist-worn Accelerometers: A Direct Observation and Metabolic Chamber Validation Study. Thematic poster in the Annual Meeting and Word Congresses of American College of Sports Medicine, June 2023.

Fuad A. Zahra and Rohit J. Kate. Clinical Term Embeddings from SNOMED CT.  Podium abstract in the American Medical Informatics Association (AMIA) Annual Symposium, San Diego, CA, November 2021.

Fuad A. Zahra and Rohit J. Kate. Using SNOMED CT Relations to Obtain Clinical Term Embeddings. Abstract in  SNOMED CT Expo, Online, October 2021.

Md Abu Sayed, Xiao Qin, Rohit J. Kate, D M Anisuzzaman and Zeyun Yu. Identifying Underreported Work Zone Crash Using Machine Learning Techniques − A Comparative Study. Abstract in the 100th Annual Meeting of the Transportation Research Board (TRB), January 2021.

Rohit J. Kate. Clinical Term Normalization Using Learned Edit Distance Patterns and Subconcept Matching. Abstract for n2c2 Shared-Task 3, August 2019.

Omid Ghiasvand and Rohit J. Kate. Learning for Biomedical Named Entity Recognition Without Manual Annotations. Podium abstract in the American Medical Informatics Association (AMIA) Annual Symposium, San Francisco, CA, November 2018.

Rohit J. Kate. Automatically Converting Clinical Terms into SNOMED CT Expressions. Abstract in SNOMED CT Expo, Vancouver, Canada, October 2018.

Vani Nilakantan, Rohit J. Kate, Chris Cho, Ruth M. Perez and Debesh Mazumdar. Determinants of Acute Kidney Injury (AKI) in Hospitalized Older Adults – A Baseline Risk Prediction Model. Abstract in American Medical Informatics Association’s (AMIA) 2015 Joint Summits on Translational Science, San Francisco, CA, March 2015.

Chi Cho, Ruth Perez, Robyn Shearer, Rohit J. Kate, Debesh Mazumdar and Vani Nilajantan. Predictors of Acute Kidney Injury for Elderly Patients Who Undergo Cardiac Procedure. Abstract in American College of Cardiology’s Annual Scientific Session and Expo, San Diego, CA, March 2015.

Scott J. Strath, Rohit J. Kate, Kevin G. Keenan and Ann. M. Swartz. Estimating Type and Energy Cost of Physical Activity Using Multiple Accelerometers and Machine Learning Techniques. Poster Presentation. Annual Meeting of American College of Sports Medicine, San Francisco, May 2012.

Dissertation

Learning for Semantic Parsing with Kernels under Various Forms of Supervision
Rohit J. Kate, Ph.D. Thesis, Department of Computer Science, University of Texas at Austin, August 2007.

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