Publications

Found 4258 results
Author [ Title(Asc)] Type Year
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A
Metere, A. (2019).  AI will never conquer humanity. It’s too rational. Cosmos Magazine.
Rosenfeld, A.., Feldman J., Kanal L.. N., & Winston P.. H. (1977).  AI and Pattern Recognition.
Mahajan, R., Bellovin S. M., Floyd S., Ioannidis J., Paxson V., & Shenker S. J. (2002).  Aggregate Congestion Control. ACM SIGCOMM Computer Communication Review. 32(1), 69.
Thaler, D., & Handley M. (2000).  On the Aggregatability of Multicast Forwarding State. Proceedings of Infocom 2000.
Feigenbaum, J., Nisan N., Ramachandran V., Sami R., & Shenker S. J. (2002).  Agents' Privacy In Distributed Algorithmic Mechanisms (Position Paper).
Feldman, J., & Narayanan S. (2014).  Affordances, Actionability, and Simulation.
Maire, M., Narihira T., & Yu S. X. (2016).  Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Utrera, F., Kravitz E., N. Erichson B., Khanna R., & Mahoney M. (2021).  Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification. International Conference on Learning Representations.
Incer, I., Theodorides M., Afroz S., & Wagner D. (2018).  Adversarially Robust Malware Detection Using Monotonic Classification. Proceedings of IWSPA 2018: 4th ACM International Workshop on Security And Privacy Analytics.
Hwang, J-J., Ke T-W., Shi J., & Yu S. X. (2019).  Adversarial Structure Matching for Structured Prediction Tasks. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Donahue, J., Krahenbuhl P., & Darrell T. (2016).  Adversarial Feature Learning. CoRR. abs/1605.09782,
Miller, B., Kantchelian A., Afroz S., Bachwani R., Dauber E., Huang L., et al. (2014).  Adversarial Active Learning. Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop (AISec '14). 3–14.
Eddy, W. M., & Allman M. (2000).  Advantages of Parallel Processing and the Effects of Communications Time.
Feldman, J. (2011).  Advancing Embodied Theories of Language.
Shastri, L. (1998).  Advances in SHRUTI: A neurally motivated model of relational knowledge representation and rapid inference using temporal synchrony..
Shastri, L. (1999).  Advances in Shruti - A Neurally Motivated Model of Relational Knowledge Representation and Rapid Inference Using Temporal Synchrony. Applied Intelligence. 11(1), 79-108.
[Anonymous] (1992).  Advances in Neural Information Processing Systems 4. (Moody, J., Hanson S.., & Lippmann R.., Ed.).
[Anonymous] (1991).  Advances in Neural Information Processing Systems 3. (Lippmann, R.., Moody J., & Touretzky D.., Ed.).
Breslau, L. (2000).  Advances in Network Simulation. IEEE Computer. 59-67.
Breslau, L. (1999).  Advances in Network Simulation.
Petruck, M. R. L. (2013).  Advances in Frame Semantics. 1-12.
Petruck, M. R. L. (2011).  Advances in Frame Semantics. Constructions and Frames. 3(1), 1-8.
Renals, S., Morgan N., Bourlard H., Cohen M., Franco H., Wooters C., et al. (1991).  Advances in Connectionist Speech Recognition.
Goebel, C., Tribowski C., & Günther O. (2009).  Adoption of Cross-Company RFID: An Empirical Analysis of Perceived Influence Factors.
Liebeherr, J., Wrege D. E., & Ferrari D. (1994).  Admission Control in Networks with Bounded Delay Services.

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