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Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependenciesTsungnan Lin, Bill G. Horne, C Lee GilesIEEE Transactions on Neural Networks|November 30, 2006
A cross-layer adaptation scheme for improving IEEE 802.11e QoS by learningChiapin Wang, Po-Chiang Lin, Tsungnan LinJournal of Cheminformatics|March 27, 2015
Chemical entity extraction using CRF and an ensemble of extractorsMadian Khabsa, C Lee GilesProceedings of the National Academy of Sciences of the United States of America|December 17, 2004
Who gets acknowledged: measuring scientific contributions through automatic acknowledgment indexingC Lee Giles, Isaac G CouncillIEEE Transactions on Pattern Analysis and Machine Intelligence|June 2, 2010
Nonconvex online support vector machinesSeyda Ertekin, Léon Bottou, C Lee GilesEntropy (Basel, Switzerland)|January 22, 2021
An Entropy Metric for Regular Grammar Classification and Learning with Recurrent Neural NetworksKaixuan Zhang, Qinglong Wang, C Lee GilesIEEE Transactions on Neural Networks and Learning Systems|January 25, 2020
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed RepresentationsAlexander Ororbia, Ankur Mali, C Lee Giles, et al.Neural Computation|May 21, 2020
Shapley Homology: Topological Analysis of Sample Influence for Neural NetworksKaixuan Zhang, Qinglong Wang, Xue Liu, et al.Neural Computation|January 18, 2017
Unifying Adversarial Training Algorithms with Data Gradient RegularizationAlexander G Ororbia Ii, Daniel Kifer, C Lee GilesPageof 3