Andrew Carlson

Publication Activity (10 Years)

Years Active: 2007-2018
Publications (10 Years): 2

Top Topics

Sampling Strategies

Active Learning

Human Robot Interaction

Sufficiently Small

Top Venues

Publications

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
Never-ending learning. Commun. ACM 61 (5) (2018)
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
Never-Ending Learning. AAAI (2015)
Sandeep Dhull, Dario Canelon, Apostolos D. Kottas, Justin Dancs, Andrew Carlson, Nikolaos Papanikolopoulos
Aquapod: A small amphibious robot with sampling capabilities. IROS (2012)
Devin R. Berg, Andrew Carlson, William K. Durfee, Robert M. Sweet, Troy Reihsen
Low-Cost, Take-Home, Beating Heart Simulator for Health-Care Education. MMVR (2011)
Andrew Carlson, Nikolaos Papanikolopoulos
Aquapod: Prototype design of an amphibious tumbling robot. ICRA (2011)
Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell
Toward an Architecture for Never-Ending Language Learning. AAAI (2010)
Andrew Carlson, Zheng Guo, Sriram Balasubramanian, Radu Zlatanovici, Tsu-Jae King, Borivoje Nikolic
SRAM Read/Write Margin Enhancements Using FinFETs. IEEE Trans. Very Large Scale Integr. Syst. 18 (6) (2010)
Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell
Coupled semi-supervised learning for information extraction. WSDM (2010)
Tom M. Mitchell, Justin Betteridge, Andrew Carlson, Estevam R. Hruschka Jr., Richard C. Wang
Populating the Semantic Web by Macro-reading Internet Text. ISWC (2009)
Andrew Carlson, Scott Gaffney, Flavian Vasile
Learning a Named Entity Tagger from Gazetteers with the Partial Perceptron. AAAI Spring Symposium: Learning by Reading and Learning to Read (2009)
Zheng Guo, Andrew Carlson, Liang-Teck Pang, Kenneth Duong, Tsu-Jae King Liu, Borivoje Nikolic
Large-Scale SRAM Variability Characterization in 45 nm CMOS. IEEE J. Solid State Circuits 44 (11) (2009)
Justin Betteridge, Andrew Carlson, Sue Ann Hong, Estevam R. Hruschka Jr., Edith L. M. Law, Tom M. Mitchell, Sophie H. Wang
Toward Never Ending Language Learning. AAAI Spring Symposium: Learning by Reading and Learning to Read (2009)
Mark Palatucci, Andrew Carlson
On the chance accuracies of large collections of classifiers. ICML (2008)
Andrew Carlson, Charles Schafer
Bootstrapping Information Extraction from Semi-structured Web Pages. ECML/PKDD (1) (2008)
Andrew Carlson, Zheng Guo, Liang-Teck Pang, Tsu-Jae King Liu, Borivoje Nikolic
Compensation of systematic variations through optimal biasing of SRAM wordlines. CICC (2008)
Andrew Carlson, Ian Fette
Memory-based context-sensitive spelling correction at web scale. ICMLA (2007)