| Robust semantic text similarity using LSA, machine learning, and linguistic resources A Kashyap, L Han, R Yus, J Sleeman, T Satyapanich, S Gandhi, T Finin Language Resources and Evaluation 50 (1), 125-161, 2016 | 43 | 2016 |
| Type prediction for efficient coreference resolution in heterogeneous semantic graphs J Sleeman, T Finin 2013 IEEE Seventh International Conference on Semantic Computing, 78-85, 2013 | 39 | 2013 |
| Meerkat mafia: Multilingual and cross-level semantic textual similarity systems AL Kashyap, L Han, R Yus, J Sleeman, TW Satyapanich, SR Gandhi, ... Proceedings of the 8th International Workshop on Semantic Evaluation, 416-423, 2014 | 38 | 2014 |
| Topic modeling for rdf graphs J Sleeman, T Finin, A Joshi 3rd International Workshop on Linked Data for Information Extraction, 14th …, 2015 | 34 | 2015 |
| Systems and methods for deep model translation generation JP Kaufhold, JA Sleeman US Patent 10,504,004, 2019 | 32 | 2019 |
| Computing foaf co-reference relations with rules and machine learning J Sleeman, T Finin Proceedings of the Third International Workshop on Social Data on the Web at …, 2010 | 30 | 2010 |
| Entity type recognition for heterogeneous semantic graphs J Sleeman, T Finin, A Joshi AI Magazine 36 (1), 75-86, 2015 | 27 | 2015 |
| A machine learning approach to linking foaf instances J Sleeman, T Finin 2010 AAAI Spring Symposium Series, 2010 | 19 | 2010 |
| Learning co-reference relations for FOAF instances J Sleeman, T Finin Proceedings of the Poster and Demonstration Session at the 9th International …, 2010 | 13 | 2010 |
| Real-time path planning for a robotic arm K Krishnaswamy, J Sleeman, T Oates Proceedings of the 4th International Conference on Pervasive Technologies …, 2011 | 11 | 2011 |
| A hybrid quantum enabled RBM advantage: convolutional autoencoders for quantum image compression and generative learning J Sleeman, J Dorband, M Halem Quantum information science, sensing, and computation XII 11391, 23-38, 2020 | 9 | 2020 |
| Ontology-grounded topic modeling for climate science research J Sleeman, T Finin, M Halem arXiv preprint arXiv:1807.10965, 2018 | 9 | 2018 |
| Modeling the evolution of climate change assessment research using dynamic topic models and cross-domain divergence maps J Sleeman, M Halem, T Finin, M Cane 2017 AAAI Spring Symposium Series, 2017 | 9 | 2017 |
| Dynamic topic modeling to infer the influence of research citations on IPCC assessment reports J Sleeman, M Halem, T Finin, M Cane UMBC Faculty Collection, 2016 | 8 | 2016 |
| A deep machine learning approach for lidar based boundary layer height detection J Sleeman, M Halem, Z Yang, V Caicedo, B Demoz, R Delgado IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 6 | 2020 |
| Opaque attribute alignment J Sleeman, R Alonso, H Li, A Pope, A Badia 2012 IEEE 28th International Conference on Data Engineering Workshops, 17-22, 2012 | 6 | 2012 |
| Discovering scientific influence using cross-domain dynamic topic modeling J Sleeman, M Halem, T Finin, M Cane 2017 IEEE international conference on big data (big data), 1325-1332, 2017 | 4 | 2017 |
| Dynamic data assimilation for topic modeling (ddatm) JA Sleeman UMBC Student Collection, 2017 | 4 | 2017 |
| Taming wild big data J Sleeman, T Finin 2014 AAAI Fall Symposium Series, 2014 | 4 | 2014 |
| Understanding cybersecurity threat trends through dynamic topic modeling J Sleeman, T Finin, M Halem Frontiers in big Data, 35, 2021 | 3 | 2021 |
Tim FininWillard and Lillian Hackerman Chair in Engineering, University of Maryland, Baltimore CountyVerified email at umbc.edu
