Publications

Found 100 results
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E
N. Erichson, B., Taylor D., Wu Q., & Mahoney M. (2021).  Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware. Proceedings of the 2021 SIAM International Conference on Data Mining (SDM). 100-108.
Eppe, M., Trott S., & Feldman J. (2016).  Exploiting Deep Semantics and Compositionality in Natural Language for Human-Robot-Interaction. Proceedings of International Conference on Inteligent Robots and Systems (IROS 2016).
Eppe, M., Trott S., Raghuram V., Feldman J., & Janin A. (2016).  Application-Independent and Integration-Friendly Natural Language Understanding. Proceedings of Global Conference on Artificial Intelligence (GCAI 2016), EPiC Series in Computing.
Ensafi, R., Fifield D., Winter P., Feamster N., Weaver N., & Paxson V. (2015).  Examining How the Great Firewall Discovers Hidden Circumvention Servers. Proceedings of ACM Internet Measurement Conference.
Enos, F.., Shriberg E., Graciarena M., Hirschberg J., & Stolcke A. (2007).  Detecting Deception Using Critical Segments. 2281-2284.
Engle, C., Lupher A., Xin R., Zaharia M., Franklin M. J., Shenker S. J., et al. (2012).  Shark: Fast Data Analysis Using Coarse-grained Distributed Memory.
Encarnação, L. Miguel, & Gross M.. H. (1992).  An Adaptive Classification Scheme to Approximate Decision Boundaries Using Local Bayes Criteria - The "Melting Octree" Network.
Emig, D., Salomonis N., Baumbach J., Lengauer T., Conklin B. R., & Albrecht M. (2010).  AltAnalyze and DomainGraph: Analyzing and Visualizing Exon Expression Data. Nucleic Acids Research. 38, W755-W762.
Elson, J.., Karp R. M., Papadimitriou C. H., & Shenker S. J. (2004).  Global Synchronization in Sensornets. Proceedings of the 6th Latin American Theoretical Informatics Symposium (LATIN '04). 2976, 609-624.
Elsässer, R., & Sauerwald T. (2009).  On the Runtime and Robustness of Randomized Broadcasting. Theoretical Computer Science. 410(36), 3414-3427.
Elsässer, R., & Sauerwald T. (2009).  Tight Bounds for the Cover Time of Multiple Random Walks. 415-426.
Ellsworth, M., Lee-Goldman R., & Rhodes R. (2008).  A Paradox of English Determination: The Construction of Complex Number Expressions.
Ellsworth, M., Ohara K. Hirose, Subirats-Rüggeberg C., & Schmidt T.. (2006).  Frame-semantic Analysis of Motion Scenarios in English, German, Spanish, and Japanese. Proceedings of Fourth International Conference on Construction Grammar (ICCG4).
Ellsworth, M. (2011).  Towards a Representation for Understanding the Structure of Multiparty Conversations.
Ellsworth, M., Baker C. F., & Petruck M. R. L. (2021).  FrameNet and Linguistic Typology. Third Workshop on Computational Typology and Multilingual NLP. 61-66.
Ellsworth, M., & Janin A. (2007).  Mutaphrase: Paraphrasing with FrameNet. Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (TextEntail). 143-150.
Ellis, D. P. W. (2000).  Improved Recognition by Combining Different Features and Different Systems. Proceedings of the Applied Voice Input/Output Society (AVIOS-2000).
Ellis, D. P. W. (2000).  Stream Combination Before and/or After the Acoustic Model.
Ellis, D. P. W. (1997).  The Weft: A Representation for Periodic Sounds. The 22nd International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1997). 2, 1307-1310.
Ellis, D. P. W., & Bilmes J. A. (2000).  Using Mutual Information to Design Feature Combinations. Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP 2000).
Ellis, D. P. W., & Rosenthal D.. (1998).  Midlevel Representations for Computational Auditory Scene Analysis: The Weft Element. 257-272.
Ellis, C. S., Feldman J., & Heliotis J.. E. (1982).  Language Constructs and Support Systems for Distributed Computing. Proceedings of the ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC 1982). 1-9.
Ellis, D. P. W., Singh R.., & Sivadas S. (2001).  Tandem Acoustic Modeling in Large-Vocabulary Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2001).
Ellis, D. P. W., & Morgan N. (1999).  Size Matters: An Empirical Study of Neural Network Training for Large Vocabulary Continuous Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1999).
Ellis, D. P. W., & Reyes M.. (2001).  Investigations Into Tandem Acoustic Modeling for the Aurora Taks. Proceedings of the 7th European Conference on Speech Communication and Technology (Eurospeech 2001).

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