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Jennifer Sleeman
Jennifer Sleeman
Senior AI Researcher, Johns Hopkins University Applied Physics Laboratory, Research Assistant
Verified email at umbc.edu - Homepage
Title
Cited by
Cited by
Year
Systems and methods for deep model translation generation
JP Kaufhold, JA Sleeman
US Patent 10,504,004, 2019
542019
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, 125-161, 2016
512016
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
442013
Topic modeling for RDF graphs
J Sleeman, T Finin, A Joshi
3rd International Workshop on Linked Data for Information Extraction, 14th …, 2015
422015
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
402014
Entity type recognition for heterogeneous semantic graphs
J Sleeman, T Finin, A Joshi
AI Magazine 36 (1), 75-86, 2015
352015
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
292010
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
222020
A machine learning approach to linking foaf instances
J Sleeman, T Finin
2010 AAAI Spring Symposium Series, 2010
202010
Understanding cybersecurity threat trends through dynamic topic modeling
J Sleeman, T Finin, M Halem
Frontiers in big Data 4, 601529, 2021
132021
Learning co-reference relations for FOAF instances
J Sleeman, T Finin
Proceedings of the Poster and Demonstration Session at the 9th International …, 2010
132010
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
112020
Ontology-grounded topic modeling for climate science research
J Sleeman, T Finin, M Halem
arXiv preprint arXiv:1807.10965, 2018
112018
Real-time path planning for a robotic arm
K Krishnaswamy, J Sleeman, T Oates
Proceedings of the 4th International Conference on Pervasive Technologies …, 2011
112011
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
92017
Dynamic topic modeling to infer the influence of research citations on ipcc assessment reports
J Sleeman, M Halem, T Finin, M Cane
Big data challenges, research, and technologies in the earth and planetary …, 2016
82016
Temporal understanding of cybersecurity threats
J Sleeman, T Finin, M Halem
2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity …, 2020
72020
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
72017
Fine and ultra-fine entity type embeddings for question answering
S Vallurupalli, J Sleeman, T Finin
International Semantic Web Conference, 2020
62020
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
62012
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