Human-in-the-loop Artificial Intelligence
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[1] Fabio Massimo Zanzotto,et al. Symbolic, Distributed, and Distributional Representations for Natural Language Processing in the Era of Deep Learning: A Survey , 2017, Frontiers in Robotics and AI.
[2] Zachary Chase Lipton. The mythos of model interpretability , 2016, ACM Queue.
[3] Gaëtan Hadjeres,et al. Deep Learning Techniques for Music Generation - A Survey , 2017, ArXiv.
[4] Kush R. Varshney,et al. Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017) , 2017, ArXiv.
[5] T. Straubhaar. On the Economics of a Universal Basic Income , 2017 .
[6] Fabio Massimo Zanzotto,et al. Risk Assessment for Venous Thromboembolism in Chemotherapy-Treated Ambulatory Cancer Patients , 2017, Medical decision making : an international journal of the Society for Medical Decision Making.
[7] Jacques Bughin,et al. A future that works: automation, employment, and productivity , 2017 .
[8] Hod Lipson,et al. Driverless: Intelligent Cars and the Road Ahead , 2016 .
[9] Michael Chui,et al. Where machines could replace humans - and where they can't (yet) , 2016 .
[10] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[11] 尹亨泰. Robot vacuum cleaner , 2016 .
[12] Björn Scheuermann,et al. Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies , 2016, IEEE Communications Surveys & Tutorials.
[13] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[14] Fabio Massimo Zanzotto,et al. Decoding Distributed Tree Structures , 2015, SLSP.
[15] Slav Petrov,et al. Structured Training for Neural Network Transition-Based Parsing , 2015, ACL.
[16] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[17] Fabio Massimo Zanzotto,et al. When the Whole Is Not Greater Than the Combination of Its Parts: A “Decompositional” Look at Compositional Distributional Semantics , 2015, Computational Linguistics.
[18] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[19] Geoffrey E. Hinton,et al. Grammar as a Foreign Language , 2014, NIPS.
[20] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Dimitrios I. Fotiadis,et al. Machine learning applications in cancer prognosis and prediction , 2014, Computational and structural biotechnology journal.
[22] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[23] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[24] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[25] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[26] Fabio Massimo Zanzotto,et al. Towards Syntax-aware Compositional Distributional Semantic Models , 2014, COLING.
[27] Alex Graves,et al. Playing Atari with Deep Reinforcement Learning , 2013, ArXiv.
[28] Christopher D. Manning,et al. Bilingual Word Embeddings for Phrase-Based Machine Translation , 2013, EMNLP.
[29] Alain L. Kornhauser,et al. The Revolutionary Development of Self-Driving Vehicles and Implications for the Transportation Engineering Profession , 2013 .
[30] Peter C Austin,et al. Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes. , 2013, Journal of clinical epidemiology.
[31] G. Revathi,et al. Smart parking systems and sensors: A survey , 2012, 2012 International Conference on Computing, Communication and Applications.
[32] Francesco Borrelli,et al. Semi-Autonomous Vehicle Control for Road Departure and Obstacle Avoidance , 2012 .
[33] Richard S. Wallace,et al. The Anatomy of A.L.I.C.E. , 2009 .
[34] Fabio Massimo Zanzotto,et al. Education with "Living Artworks" in Museums , 2009, CSEDU.
[35] S. Nakamoto,et al. Bitcoin: A Peer-to-Peer Electronic Cash System , 2008 .
[36] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation (3rd Edition) , 2007 .
[37] Susan Bull,et al. Bringing chatbots into education: Towards natural language negotiation of open learner models , 2006, Knowl. Based Syst..
[38] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[39] Tony A. Plate,et al. Holographic Reduced Representation: Distributed Representation for Cognitive Structures , 2003 .
[40] P. Thompson. Digital Identity , 2003 .
[41] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[42] Francesco Mondada,et al. Autonomous vacuum cleaner , 1997, Robotics Auton. Syst..
[43] Tony A. Plate,et al. Holographic reduced representations , 1995, IEEE Trans. Neural Networks.
[44] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[45] Geoffrey E. Hinton,et al. Distributed representations and nested compositional structure , 1994 .
[46] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[47] J. Fodor,et al. Connectionism and cognitive architecture: A critical analysis , 1988, Cognition.
[48] Joseph Weizenbaum,et al. ELIZA—a computer program for the study of natural language communication between man and machine , 1966, CACM.