Publications

Found 194 results
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Chen, G., Davis D., Krause M., Aivaloglou E., Hauff C., & Houben G-J. (2016).  Can Learners be Earners? Investigating a Design to Enable MOOC Learners to Apply their Skills and Earn Money in an Online Market Place. IEEE Transactions on Learning Technologies.
Chen, B. Y., Zhu Q., & Morgan N. (2004).  Long-Term Temporal Features for Conversational Speech Recognition. Proceedings of the First International Workshop on Machine Learning for Multimodal Interaction (MLMI 2004).
Chen, J., Jiang J., Zheng X., Duan H., Liang J., Li K., et al. (2016).  Forwarding-Loop Attacks in Content Delivery Networks. Proceedings of the Network and Distributed System Security Symposium (NDSS).
Chen, Q.., Chang H., Govindan R., Jamin S., Shenker S., & Willinger W. (2002).  The Origin of Power-Laws in Internet Topologies Revisited.
Chawathe, Y., Ramabhadran S., Ratnasamy S., LaMarca A., Shenker S., & Hellerstein J. M. (2005).  A Case Study in Building Layered DHT Applications. Proceedings of ACM Special Interest Group on Data Communications Conference (SIGCOMM 2005). 97-108.
Chawathe, Y., Ratnasamy S., Breslau L., & Shenker S. (2003).  Making Gnutella-Like P2P Systems Scalable. Proceedings of ACM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM). 407-418.
Chaudhuri, K.., Halperin E., Rao S., & Zhou S.. (2007).  A Rigorous Analysis of Population Stratification with Limited Data. 1046-1055.
Chang, S., Greenberg S., & Wester M. (2001).  An Elitist Approach to Articulatory-Acoustic Feature Classification. Proceedings of the 7th European Conference on Speech Communication and Technology (Eurospeech 2001).
Chang, S-Y., Meyer B. T., & Morgan N. (2013).  Spectro-Temporal Features for Robust Speech Recognition Using Power-Law Nonlinearity and Power-Bias Subtraction.
Chang, N., & Maia T.. (2001).  Grounded learning of grammatical constructions. Proceedings of the Association for the Advancement of Artificial Intelligence 2001 Spring Symposium on Learning Grounded Representations.
Chang, K., Lei H., & Canny J.. (2011).  Improved Classification of Speaking Styles for Mental Health Monitoring using Phoneme Dynamics. 85-88.
Chang, S-Y., Morgan N., Raju A., Alwan A., & Kreiman J. (2015).  Using Fast and Slow Modulations to Model Human Hearing of Fast and Slow Speech.
Chang, N. (2009).  Constructing Grammar: A Computational Model of the Emergence of Early Constructions.
Chang, H., Govindan R., Jamin S., Shenker S., & Willinger W. (2004).  Towards Capturing Representative AS-Level Internet Topologies. Computer Networks. 44(6), 737-755.
Chang, H., Govindan R., Jamin S., Shenker S., & Willinger W. (2002).  Towards Capturing Representative AS-Level Internet Topologies. Proceedings of the International Conference on Measurements and Modeling of Computer Systems (SIGMETRICS 2002). 280-281.
Chang, S. (2002).  A Syllable, Articulatory-Feature, and Stress-Accent Model of Speech Recognition.
Chang, N., & Hunter R.. (2001).  Reference resolution in child-directed speech: A deep semantic approach.
Chang, S-Y., & Morgan N. (2014).  Robust CNN-Based Speech Recognition With Gabor Filter Kernels.
Chang, S-Y., Edwards E., Morgan N., Ellis D. P. W., Mesgarani N., & Chang E. (2015).  Phone Recognition for Mixed Speech Signals: Comparison of Human Auditory Cortex and Machine Performance.
Chang, S. (2002).  A Syllable, Articulatory-Feature, and Stress-Accent Model of Speech Recognition.
Chang, S-Y., & Morgan N. (2013).  Informative Spectro-Temporal Bottleneck Features for Noise-Robust Speech Recognition.
Chang, N., Narayanan S., & Petruck M. R. L. (2002).  From Frames to Inference. Proceedings of the First International Workshop on Scalable Natural Language Understanding.
Chang, N., & Gurevich O.. (2004).  Context-Driven Construction Learning. Proceedings of the 26th Annual Meeting of the Cognitive Science Society.
Chang, S., Shastri L., & Greenberg S. (2000).  Automatic Phonetic Transcription of Spontaneous Speech American English. Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP 2000).
Chang, N., & Mok E. (2006).  A Structured Context Model for Grammar Learning. Proceedings of the International Joint Conference on Neural Networks (IJCNN 2006). 1604-1611.

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