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Friedland, G., Janin A., Lei H., Choi J., & Sommer R. (2015).  Content-Based Privacy for Consumer-Produced Multimedia. 157-173.
Feldman, J. (2000).  Context and Causality in Cognitive Science.
Di Gesu, V., & Isgro F. (1995).  Context and Vision.
Pathak, D., Krahenbuhl P., Donahue J., Darrell T., & Efros A. A. (2016).  Context Encoders: Feature Learning by Inpainting. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2536-2544.
Tiwari, M., Mohan P., Osheroff A., Alkaff H., Shi E., Love E., et al. (2012).  Context-Centric Security.
Franco, H., Cohen M., Morgan N., Rumelhart D., & Abrash V. (1992).  Context-Dependent Connectionist Probability Estimation in a Hybrid HMM-Neural Net Speech Recognition System. Proceedings of the International Joint Conference on Neural Networks.
Cohen, M., Franco H., Morgan N., Rumelhart D., & Abrash V. (1993).  Context-Dependent Multiple Distribution Phonetic Modeling. V, 649-657.
Chang, N., & Gurevich O.. (2004).  Context-Driven Construction Learning. Proceedings of the 26th Annual Meeting of the Cognitive Science Society.
Mok, E., & Chang N. (2006).  Contextual Bootstrapping for Grammar Learning.
Mok, E. (2009).  Contextual Bootstrapping for Grammar Learning.
Frik, A., Bernd J., & Alomar N. (2019).  The Contextual Preferences of Older Adults on Information Sharing. Proceeding of the 2nd annual Symposium on Applications of Contextual Integrity.
Fosler-Lussier, E. (1999).  Contextual Word and Syllable Pronunciation Models. Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU-99).
Wijesekera, P., Reardon J., Reyes I., Tsai L., Chen J-W., Good N., et al. (2018).  Contextualizing Privacy Decisions for Better Prediction (and Protection). Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’18).
Lee, J. W., King M.., & Asanović K. (2007).  Continual Hashing for Efficient Fine-Grain State Inconsistency Checking. 33-40.
Hoffman, J., Darrell T., & Saenko K. (2014).  Continuous Manifold Based Adaptation for Evolving Visual Domains.
Bourlard, H., & Morgan N. (1993).  Continuous Speech Recognition by Connectionist Statistical Methods. IEEE Transactions on Neural Networks. 4(6), 893-909.
Morgan, N., Wooters C., Bourlard H., & Cohen M. (1990).  Continuous Speech Recognition on the Resource Management Database Using Connectionist Probability Estimation.
Bourlard, H., & Morgan N. (1990).  A Continuous Speech Recognition System Embedding MLP into HMM. II, 186-193.
Bourlard, H., & Morgan N. (1990).  Continuous Speech Recognition Using Multilayer Perceptrons with Hidden Markov Models. Proceedings of the IEEE International Conference of Acoustics, Speech & Signal Processing (ICASSP 1990).
Morgan, N., Hermansky H., Bourlard H., Kohn P., & Wooters C. (1991).  Continuous Speech Recognition Using PLP Analysis with Multilayer Perceptrons. Proceedings of IEEE International Conference on Acoustics, Speech & Signal Processing. 49-52.
Atkins, B.. T. S., Rundell M., & Sato H. (2003).  The Contribution of Framenet to Practical Lexicography. International Journal of Lexicography.
Fillmore, C. J. (1990).  The Contribution of Linguistics to Language Understanding. Proceedings of the First Symposium on Cognition, Language, and Culture. 109-128.
Fillmore, C. J. (1992).  A Contribution To The Repertory of Examples. 171-172.
Cleve, R. (1989).  Controlled Gradual Disclosure Schemes for Random Bits and Their Applications.
Tootoonchian, A., Gorbunov S., Ganjali Y., Casado M., & Sherwood R. (2012).  On Controller Performance in Software-Defined Networks.