Publications

Found 983 results
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N
Ke, T-W., Maire M., & Yu S. X. (2016).  Neural Multigrid.
Bourlard, H., Morgan N., & Renals S. (1992).  Neural nets and hidden Markov models: Review and Generalizations. 11(2-3), 237-246.
Robinson, A.., Almeida L.., Boite J.., Bourlard H., Fallside F., Hochberg H.., et al. (1993).  A Neural Network Based, Speaker Independent, Large Vocabulary, Continuous Speech Recognition System: the Wernicke Project. Proceedings of the Third European Conference on Speech Communication and Technology (Eurospeech '93). 1941-1944.
Tresp, V., Moody J., & Delong W.. R. (1993).  Neural Network Modeling of Physiological Processes. 2, 363-378.
Liao, Y., & Moody J. (1996).  A Neural Network Visualization and Sensitivity Analysis Toolkit. Proceedings of the International Conference on Neural Information Processing. 1069-1074.
Bourlard, H., & Morgan N. (1991).  Neural Networks for Statistical Inference: Generalizations with Applications to Speech Recognition. Proceedings of the the International Joint Conference on Neural Networks (IJCNN '91).
Bourlard, H., & Morgan N. (1991).  Neural Networks for Statistical Inference: Generalizations with Applications to Speech Recognition. Proceedings of the International Joint Conference on Neural Networks (IJCNN '91).
Morgan, N., & Bourlard H. (1995).  Neural Networks for Statistical Recognition of Continuous Speech. Proceedings of IEEE. 83(5), 742-770.
Liao, Y., Moody J., & Wu L. (2002).  Neural Networks for Time Series Analysis.
Mahoney, M. (2014).  A New Spin on an Old Algorithm: Technical Perspective on "Communication Costs of Strassen's Matrix Multiplication". Communications of the ACM. 57(2), 106.
Zhou, K., Mo L., Kay P., Kwok V.. P. Y., Ip T. N. M., & Tan L. Hai (2010).  Newly Trained Lexical Categories Produce Lateralized Categorical Perception of Color. 107(22), 9974-9978.
Eisenhofer, T., Quiring E., Möller J., Riepel D., Holz T., & Rieck K. (In Press).  No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. Proceedings of 32nd USENIX Security Symposium.
Hermansky, H., & Morgan N. (1996).  Noise resistant auditory model for parametrization of speech.
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.
Lim, S. Hoe, N. Erichson B., Hodgkinson L., & Mahoney M. (2021).  Noisy Recurrent Neural Networks. Advances in Neural Information Processing Systems Conference. 34,
N. Erichson, B., Lim S. Hoe, Utrera F., Xu W., Cao Z., & Mahoney M. (2022).  NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. arXiv.
Chernjavsky, A., & Moody J. (1990).  Note on Development of Modularity in Simple Cortical Models. 2,
Moody, J. (1991).  Note on Generalization, Regularization, and Architecture Selection in Nonlinear Learning Systems. Proceedings of the First IEEE-SP Workshop on Neural Networks for Signal Processing. 1-10.
Darken, C., & Moody J. (1991).  Note on Learning Rate Schedules for Stochastic Optimization. 3,
Conde, L., Bevan S.., Sitzer M.., Klopp N.., Illig T.., Thiery J.., et al. (2011).  Novel Associations for Coronary Artery Disease Derived from Genome Wide Association Studies Are Not Associated with Increased Carotid Intima-Media Thickness..... Atherosclerosis. 219(2), 684-689.
Gude, N. S., Koponen T., Pettit J., Pfaff B., Casado M., McKeown N., et al. (2008).  NOX: Towards an Operating System for Networks. ACM SIGCOMM Computer Communication Review. 38(3), 105-110.
Mirghafori, N., & Wooters C. (2006).  Nuts and Flakes: A Study of Data Characteristics in Speaker Diarization. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006). 1017-1020.
O
Maire, M., Yu S. X., & Perona P. (2011).  Object Detection and Segmentation from Joint Embedding of Parts and Pixels. Proceedings of International Conference on Computer Vision.
Narayanan, S., Sievers K.., & Maiorano S.. (2007).  OCCAM: Ontology-Based Computational Contextual Analysis and Modeling. 356-368.
Marchetti-Spaccamela, A., Nanni U., & Rohnert H. (1992).  On-Line Graph Algorithms for Incremental Compilation.

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