Daniel L. Silver

According to our database1, Daniel L. Silver authored at least 51 papers between 1994 and 2020.

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Bibliography

2020
Estimating Grape Yield on the Vine from Multiple Images.
CoRR, 2020

2019
AutoML @ NeurIPS 2018 challenge: Design and Results.
CoRR, 2019

In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning.
Proceedings of the Advances in Artificial Intelligence, 2019

2017
Improving point-based AIS trajectory classification with partition-wise gated recurrent units.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks.
Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, 2017

2016
A Proposal for Common Dataset in Neural-Symbolic Reasoning Studies.
Proceedings of the 11th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy'16) co-located with the Joint Multi-Conference on Human-Level Artificial Intelligence (HLAI 2016), 2016

A Scalable Unsupervised Deep Multimodal Learning System.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Fishing Activity Detection from AIS Data Using Autoencoders.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Learning to reason in a Probably Approximately Correct manner.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

Learning Paired-Associate Images with an Unsupervised Deep Learning Architecture.
Proceedings of the Advances in Artificial Intelligence, 2015

Consolidation Using Sweep Task Rehearsal: Overcoming the Stability-Plasticity Problem.
Proceedings of the Advances in Artificial Intelligence, 2015

Neural-Symbolic Learning and Reasoning: Contributions and Challenges.
Proceedings of the 2015 AAAI Spring Symposia, 2015

2013
An Unsupervised Deep-Learning Architecture That Can Reconstruct Paired Images.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Lifelong Machine Learning Systems: Beyond Learning Algorithms.
Proceedings of the Lifelong Machine Learning, 2013

The Consolidation of Task Knowledge for Lifelong Machine Learning.
Proceedings of the Lifelong Machine Learning, 2013

2012
Analysis of the IJCNN 2011 UTL challenge.
Neural Networks, 2012

ICML2011 Unsupervised and Transfer Learning Workshop.
Proceedings of the Unsupervised and Transfer Learning, 2012

Image Morphing: Transfer Learning between Tasks That Have Multiple Outputs.
Proceedings of the Advances in Artificial Intelligence, 2012

2011
Consolidation Using Context-Sensitive Multiple Task Learning.
Proceedings of the Advances in Artificial Intelligence, 2011

Machine Lifelong Learning: Challenges and Benefits for Artificial General Intelligence.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010
User profile management: reference model and web services implementation.
IJWGS, 2010

CsMTL MLP For WEKA: Neural Network Learning with Inductive Transfer.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2008
Inductive transfer with context-sensitive neural networks.
Mach. Learn., 2008

Guest editor's introduction: special issue on inductive transfer learning.
Mach. Learn., 2008

A distributed multi-agent meeting scheduler.
J. Comput. Syst. Sci., 2008

Using received signal strength variation for surveillance in residential areas.
Proceedings of the Data Mining, 2008

Image Transformation: Inductive Transfer between Multiple Tasks Having Multiple Outputs.
Proceedings of the Advances in Artificial Intelligence , 2008

2007
Inductive transfer applied to stream discharge modeling.
Proceedings of the IEEE International Conference on Systems, 2007

Requirements for Machine Lifelong Learning.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Sequential Inductive Transfer for Coronary Artery Disease Diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2007

LonelyDog@Home.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007

Context-Sensitive MTL Networks for Machine Lifelong Learning.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

A Guide for Establishing and Managing a Computer Science Industrial Advisory Board.
Proceedings of the 2007 International Conference on Frontiers in Education: Computer Science & Computer Engineering, 2007

Interface Adaptation Based on User Expectation.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

2006
Keystroke and Eye-Tracking Biometrics for User Identification.
Proceedings of the 2006 International Conference on Artificial Intelligence, 2006

Machine Life-Long Learning with csMTL Networks.
Proceedings of the Proceedings, 2006

2005
User Control over User Adaptation: A Case Study.
Proceedings of the User Modeling 2005, 2005

Information Visualization for Intrusion Detection.
Proceedings of the Third Annual Conference on Privacy, 2005

Information visualization for an intrusion detection system.
Proceedings of the HYPERTEXT 2005, 2005

A Measure of Relatedness for Selecting Consolidated Task Knowledge.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Establishing and Managing a Computer Science Industrial Advisory Board.
Proceedings of The 2005 International Conference on Frontiers in Education: Computer Science and Computer Engineering, 2005

2004
Sequential Consolidation of Learned Task Knowledge.
Proceedings of the Advances in Artificial Intelligence, 2004

Time-Sensitive Sampling for Spam Filtering.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
The Consolidation of Neural Network Task Knowledge.
Proceedings of the 2003 International Conference on Machine Learning and Applications, 2003

Selective Transfer of Task Knowledge Using Stochastic Noise.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
Life-long Learning through Task Rehersal and Selective Transfer.
Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

The Task Rehearsal Method of Life-Long Learning: Overcoming Impoverished Data.
Proceedings of the Advances in Artificial Intelligence, 2002

1998
The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness.
Proceedings of the Learning to Learn., 1998

1996
The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness.
Connect. Sci., 1996

1994
X-500 Directory Schema Management.
Proceedings of the Tenth International Conference on Data Engineering, 1994


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