Publications

Found 100 results
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E
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).
Ellis, D. P. W. (1996).  Prediction-driven Computational Auditory Scene Analysis for Dense Sound Mixtures. Proceedings of the ESCA Workshop on the "Auditory Basis of Speech Perception".
Ellis, D. P. W. (1999).  Using Knowledge to Organize Sound: The Prediction-driven Approach to Computational Auditory Scene Analysis and Its Application to Speech/Nonspeech Mixtures. Speech Communication. 27(3-4), 281-298.
Ellis, D. P. W. (1997).  Computational Auditory Scene Analysis Exploiting Speech-Recognition Knowledge. Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. 4.
Ellis, D. P. W. (2000).  Improved Recognition by Combining Different Features and Different Systems. Proceedings of the Applied Voice Input/Output Society (AVIOS-2000).
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.
Ellsworth, M., Lee-Goldman R., & Rhodes R. (2008).  A Paradox of English Determination: The Construction of Complex Number Expressions.
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.
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.
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.
Encarnação, L. Miguel, & Gross M.. H. (1992).  An Adaptive Classification Scheme to Approximate Decision Boundaries Using Local Bayes Criteria - The "Melting Octree" Network.
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.
Enos, F.., Shriberg E., Graciarena M., Hirschberg J., & Stolcke A. (2007).  Detecting Deception Using Critical Segments. 2281-2284.
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.
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.
N. Erichson, B., Azencot O., Queiruga A., Hodgkinson L., & Mahoney M. (2021).  Lipschitz recurrent neural networks. International Conference on Learning Representations.

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