Andrew Carlson

According to our database, Andrew Carlson authored at least 16 papers between 2007 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Never-ending learning.

Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling

Commun. ACM, 2018

2015

Never-Ending Learning.

Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2012

Aquapod: A small amphibious robot with sampling capabilities.

Sandeep Dhull, Dario Canelon, Apostolos D. Kottas, Justin Dancs, Andrew Carlson, Nikolaos Papanikolopoulos

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011

Low-Cost, Take-Home, Beating Heart Simulator for Health-Care Education.

Devin R. Berg, Andrew Carlson, William K. Durfee, Robert M. Sweet, Troy Reihsen

Proceedings of the Medicine Meets Virtual Reality 18 - NextMed, 2011

Aquapod: Prototype design of an amphibious tumbling robot.

Andrew Carlson, Nikolaos Papanikolopoulos

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

SRAM Read/Write Margin Enhancements Using FinFETs.

Andrew Carlson, Zheng Guo, Sriram Balasubramanian, Radu Zlatanovici, Tsu-Jae King Liu, Borivoje Nikolic

IEEE Trans. Very Large Scale Integr. Syst., 2010

Coupled semi-supervised learning for information extraction.

Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell

Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Toward an Architecture for Never-Ending Language Learning.

Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Large-Scale SRAM Variability Characterization in 45 nm CMOS.

Zheng Guo, Andrew Carlson, Liang-Teck Pang, Kenneth Duong, Tsu-Jae King Liu, Borivoje Nikolic

IEEE J. Solid State Circuits, 2009

Populating the Semantic Web by Macro-reading Internet Text.

Tom M. Mitchell, Justin Betteridge, Andrew Carlson, Estevam R. Hruschka Jr., Richard C. Wang

Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009

Learning a Named Entity Tagger from Gazetteers with the Partial Perceptron.

Andrew Carlson, Scott Gaffney, Flavian Vasile

Proceedings of the Learning by Reading and Learning to Read, 2009

Toward Never Ending Language Learning.

Justin Betteridge, Andrew Carlson, Sue Ann Hong, Estevam R. Hruschka Jr., Edith L. M. Law, Tom M. Mitchell, Sophie H. Wang

Proceedings of the Learning by Reading and Learning to Read, 2009

2008

Bootstrapping Information Extraction from Semi-structured Web Pages.

Andrew Carlson, Charles Schafer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

On the chance accuracies of large collections of classifiers.

Mark Palatucci, Andrew Carlson

Proceedings of the Machine Learning, 2008

Compensation of systematic variations through optimal biasing of SRAM wordlines.

Andrew Carlson, Zheng Guo, Liang-Teck Pang, Tsu-Jae King Liu, Borivoje Nikolic

Proceedings of the IEEE 2008 Custom Integrated Circuits Conference, 2008

2007

Memory-based context-sensitive spelling correction at web scale.

Andrew Carlson, Ian Fette

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007