-
1
-
-
84946584360
-
-
April 2015
-
Saleema Amershi, Max Chickering, Steven M. Drucker, Bongshin Lee, Patrice Simard, and Jina Suh. 2015. ModelTracker: Redesigning Performance Analysis Tools for Machine Learning. (April 2015), 337-346.
-
(2015)
ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
, pp. 337-346
-
-
Amershi, S.1
Chickering, M.2
Drucker, S.M.3
Lee, B.4
Simard, P.5
Suh, J.6
-
2
-
-
80955143401
-
Designing for effective end-user interaction with machine learning
-
ACM, New York, NY, USA
-
Saleema Amershi, James Fogarty, Ashish Kapoor, and Tan Desney. 2011a. Designing for Effective End-user Interaction with Machine Learning. In Proceedings of the 24th Annual ACM Symposium Adjunct on User Interface Software and Technology (UIST'11 Adjunct). ACM, New York, NY, USA, 47-50.
-
(2011)
Proceedings of the 24th Annual ACM Symposium Adjunct on User Interface Software and Technology (UIST'11 Adjunct)
, pp. 47-50
-
-
Amershi, S.1
Fogarty, J.2
Kapoor, A.3
Desney, T.4
-
3
-
-
84862101041
-
Regroup: Interactive machine learning for on-demand group creation in social networks
-
ACM, New York, NY, USA
-
Saleema Amershi, James Fogarty, and Daniel Weld. 2012. Regroup: Interactive Machine Learning for On-demand Group Creation in Social Networks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'12). ACM, New York, NY, USA, 21-30.
-
(2012)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'12)
, pp. 21-30
-
-
Amershi, S.1
Fogarty, J.2
Weld, D.3
-
4
-
-
79958125062
-
CueT: Human-guided fast and accurate network alarm triage
-
ACM, New York, NY, USA
-
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, and Blaine Christian. 2011b. CueT: Human-guided Fast and Accurate Network Alarm Triage. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'11). ACM, New York, NY, USA, 157-166.
-
(2011)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'11)
, pp. 157-166
-
-
Amershi, S.1
Lee, B.2
Kapoor, A.3
Mahajan, R.4
Christian, B.5
-
5
-
-
0042280028
-
-
Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, Chapter Visualizing the Simple Baysian Classifier
-
Barry Becker, Ron Kohavi, and Dan Sommerfield. 2002. Information Visualization in Data Mining and Knowledge Discovery. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, Chapter Visualizing the Simple Baysian Classifier, 237-249.
-
(2002)
Information Visualization in Data Mining and Knowledge Discovery
, pp. 237-249
-
-
Becker, B.1
Kohavi, R.2
Sommerfield, D.3
-
6
-
-
85004448586
-
Summaries: A special issue on evaluation for information visualization
-
2011
-
Enrico Bertini, Heidi Lam, and Adam Perer. 2011. Summaries: a special issue on evaluation for information visualization. Information Visualization 10, 3 (2011).
-
(2011)
Information Visualization
, vol.10
, Issue.3
-
-
Bertini, E.1
Lam, H.2
Perer, A.3
-
7
-
-
0000245743
-
Statistical modeling: The two cultures
-
08 2001
-
Leo Breiman. 2001. Statistical Modeling: The Two Cultures. Statist. Sci. 16, 3(08 2001), 199-231.
-
(2001)
Statist. Sci
, vol.16
, Issue.3
, pp. 199-231
-
-
Breiman, L.1
-
8
-
-
0035789668
-
Gaining insights into support vector machine pattern classifiers using projection-based tour methods
-
Doina Caragea, Dianne Cook, and Vasant Honavar. 2001. Gaining Insights into Support Vector Machine Pattern Classifiers Using Projection-Based Tour Methods. In Proceedings of the KDD Conference. 251-256.
-
(2001)
Proceedings of the KDD Conference
, pp. 251-256
-
-
Caragea, D.1
Cook, D.2
Honavar, V.3
-
9
-
-
84954180053
-
Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission
-
ACM, New York, NY, USA
-
Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, and Noemie Elhadad. 2015. Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15). ACM, New York, NY, USA, 1721-1730.
-
(2015)
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15)
, pp. 1721-1730
-
-
Caruana, R.1
Lou, Y.2
Gehrke, J.3
Koch, P.4
Sturm, M.5
Elhadad, N.6
-
11
-
-
84871386793
-
Using sensitivity analysis and visualization techniques to open black box data mining models
-
2013
-
Paulo Cortez and Mark J. Embrechts. 2013. Using sensitivity analysis and visualization techniques to open black box data mining models. Information Sciences 225(2013), 1-17.
-
(2013)
Information Sciences
, vol.225
, pp. 1-17
-
-
Cortez, P.1
Embrechts, M.J.2
-
13
-
-
9444222046
-
Visualizing class probability estimators
-
Nada Lavra, Dragan Gamberger, Ljupo Todorovski, and Hendrik Blockeel Eds.. Lecture Notes in Computer Science, Springer Berlin Heidelberg
-
Eibe Frank and Mark Hall. 2003. Visualizing Class Probability Estimators. In Knowledge Discovery in Databases (PKDD), Nada Lavra, Dragan Gamberger, Ljupo Todorovski, and Hendrik Blockeel (Eds.). Lecture Notes in Computer Science, Vol. 2838. Springer Berlin Heidelberg, 168-179.
-
(2003)
Knowledge Discovery in Databases (PKDD)
, vol.2838
, pp. 168-179
-
-
Frank, E.1
Hall, M.2
-
14
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
10 2001
-
Jerome H. Friedman. 2001. Greedy function approximation: A gradient boosting machine. Annals of Statistics 29, 5(10 2001), 1189-1232.
-
(2001)
Annals of Statistics
, vol.29
, Issue.5
, pp. 1189-1232
-
-
Friedman, J.H.1
-
15
-
-
84906989357
-
Peeking inside the black box: Visualizing statistical learning with plots of individual conditional expectation
-
March 2014
-
Alex Goldstein, Adam Kapelner, Justin Bleich, and Emil Pitkin. 2014. Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation. Journal of Computational and Graphical Statistics (March 2014).
-
(2014)
Journal of Computational and Graphical Statistics
-
-
Goldstein, A.1
Kapelner, A.2
Bleich, J.3
Pitkin, E.4
-
17
-
-
32344441116
-
Nomograms for visualizing support vector machines
-
ACM, New York, NY, USA
-
Aleks Jakulin, Martin Možina, Janez Demšar, Ivan Bratko, and Blaž Zupan. 2005. Nomograms for Visualizing Support Vector Machines. In Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining (KDD'05). ACM, New York, NY, USA, 108-117.
-
(2005)
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining (KDD'05)
, pp. 108-117
-
-
Jakulin, A.1
Možina, M.2
Demšar, J.3
Bratko, I.4
Zupan, B.5
-
18
-
-
84871383861
-
Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables
-
March 2013
-
David Correa Martins Jr., Evaldo A. de Oliveira, Ulisses de Mendonça Braga Neto, Ronaldo Fumio Hashimoto, and Roberto Marcondes Cesar Jr. 2013. Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables. Information Sciences 225(March 2013), 18-34.
-
(2013)
Information Sciences
, vol.225
, pp. 18-34
-
-
Martins, D.C.1
De Oliveira, E.A.2
De Mendonça Braga Neto, U.3
Hashimoto, R.F.4
Cesar, R.M.5
-
19
-
-
77953996903
-
Interactive optimization for steering machine classification
-
ACM, New York, NY, USA
-
Ashish Kapoor, Bongshin Lee, Desney Tan, and Eric Horvitz. 2010. Interactive Optimization for Steering Machine Classification. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'10). ACM, New York, NY, USA, 1343-1352.
-
(2010)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'10)
, pp. 1343-1352
-
-
Kapoor, A.1
Lee, B.2
Tan, D.3
Horvitz, E.4
-
22
-
-
84937824985
-
The Bayesian case model: A generative approach for case-based reasoning and prototype classification
-
Been Kim, Cynthia Rudin, and Julie A Shah. 2014. The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification. In Advances in Neural Information Processing Systems. 1952-1960.
-
(2014)
Advances in Neural Information Processing Systems
, pp. 1952-1960
-
-
Kim, B.1
Rudin, C.2
Shah, J.A.3
-
23
-
-
84910066488
-
INFUSE: Interactive feature selection for predictive modeling of high dimensional data
-
Dec. 2014
-
Josua Krause, Adam Perer, and Enrico Bertini. 2014. INFUSE: Interactive Feature Selection for Predictive Modeling of High Dimensional Data. Visualization and Computer Graphics, IEEE Transactions on 20, 12(Dec. 2014), 1614-1623.
-
(2014)
Visualization and Computer Graphics, IEEE Transactions on
, vol.20
, Issue.12
, pp. 1614-1623
-
-
Krause, J.1
Perer, A.2
Bertini, E.3
-
25
-
-
84939637881
-
Principles of explanatory debugging to personalize interactive machine learning
-
ACM, New York, NY, USA
-
Todd Kulesza, Margaret Burnett, Weng-Keen Wong, and Simone Stumpf. 2015. Principles of Explanatory Debugging to Personalize Interactive Machine Learning. In Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI'15). ACM, New York, NY, USA, 126-137.
-
(2015)
Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI'15)
, pp. 126-137
-
-
Kulesza, T.1
Burnett, M.2
Wong, W.3
Stumpf, S.4
-
26
-
-
84924195989
-
Sports data mining: Predicting results for the college football games
-
September 2014, Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference KES, Proceedings of
-
Carson K. Leung and Kyle W. Joseph. 2014. Sports Data Mining: Predicting Results for the College Football Games. Procedia Computer Science 35(September 2014), 710-719. Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference (KES), Proceedings of.
-
(2014)
Procedia Computer Science
, vol.35
, pp. 710-719
-
-
Leung, C.K.1
Joseph, K.W.2
-
29
-
-
84957018506
-
Sentiment analysis with incremental human-in-the-loop learning and lexical resource customization
-
ACM, New York, NY, USA
-
Shubhanshu Mishra, Jana Diesner, Jason Byrne, and Elizabeth Surbeck. 2015. Sentiment Analysis with Incremental Human-in-the-Loop Learning and Lexical Resource Customization. In Proceedings of the 26th ACM Conference on Hypertext & Social Media (HT'15). ACM, New York, NY, USA, 323-325.
-
(2015)
Proceedings of the 26th ACM Conference on Hypertext & Social Media (HT'15)
, pp. 323-325
-
-
Mishra, S.1
Diesner, J.2
Byrne, J.3
Surbeck, E.4
-
30
-
-
84907081155
-
PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records
-
2013
-
Kenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley Malin, and Jimeng Sun. 2013. PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records. Journal of Biomedical Informatics (2013).
-
(2013)
Journal of Biomedical Informatics
-
-
Ng, K.1
Ghoting, A.2
Steinhubl, S.R.3
Stewart, W.F.4
Malin, B.5
Sun, J.6
-
31
-
-
0037102687
-
Illuminating the "black box": A randomization approach for understanding variable contributions in artificial neural networks
-
2002
-
Julian D. Olden and Donald A. Jackson. 2002. Illuminating the "black box": a randomization approach for understanding variable contributions in artificial neural networks. Ecological Modelling 154, 12(2002), 135-150.
-
(2002)
Ecological Modelling
, vol.154
, Issue.12
, pp. 135-150
-
-
Olden, J.D.1
Jackson, D.A.2
-
32
-
-
78649593360
-
Gestalt: Integrated support for implementation and analysis in machine learning
-
ACM, New York, NY
-
Kayur Patel, Naomi Bancroft, Steven Drucker, James Fogarty, and James Landay. 2010. Gestalt: Integrated Support for Implementation and Analysis in Machine Learning. In Proceedings of the 23rd annual ACM symposium on User interface software and technology (UIST). ACM, New York, NY, 37-46.
-
(2010)
Proceedings of the 23rd Annual ACM Symposium on User Interface Software and Technology (UIST)
, pp. 37-46
-
-
Patel, K.1
Bancroft, N.2
Drucker, S.3
Fogarty, J.4
Landay, J.5
-
33
-
-
84881040033
-
Using multiple models to understand data
-
Toby Walsh Ed.. IJCAI/AAAI
-
Kayur Patel, Steven M. Drucker, James Fogarty, Ashish Kapoor, and Desney S. Tan. 2011. Using Multiple Models to Understand Data. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), Toby Walsh (Ed.). IJCAI/AAAI, 1723-1728.
-
(2011)
Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI)
, pp. 1723-1728
-
-
Patel, K.1
Drucker, S.M.2
Fogarty, J.3
Kapoor, A.4
Tan, D.S.5
-
36
-
-
85015000127
-
Visualizing the function computed by a feedforward neural network
-
1997
-
Tony Plate, Joel Bert, John Grace, and Pierre Band. 1997. Visualizing the Function Computed by a Feedforward Neural Network. Progress in Connectionist-Based Information Systems: Proceedings of The Fourth International Conference on Neural Information Processing (ICONIP'97) 1(1997), 306-309.
-
(1997)
Progress in Connectionist-based Information Systems: Proceedings of the Fourth International Conference on Neural Information Processing (ICONIP'97)
, vol.1
, pp. 306-309
-
-
Plate, T.1
Bert, J.2
Grace, J.3
Band, P.4
-
37
-
-
0034446095
-
Visualizing high-dimensional predictive model quality
-
Penny Rheingans and Marie desJardins. 2000. Visualizing high-dimensional predictive model quality. In Visualization. 493-496.
-
(2000)
Visualization
, pp. 493-496
-
-
Rheingans, P.1
DesJardins, M.2
-
38
-
-
34547210191
-
Strategies for evaluating information visualization tools: Multi-dimensional in-depth long-term case studies
-
Ben Shneiderman and Catherine Plaisant. 2006. Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies. In Proceedings of the 2006 BELIV Workshop. 1-7.
-
(2006)
Proceedings of the 2006 BELIV Workshop
, pp. 1-7
-
-
Shneiderman, B.1
Plaisant, C.2
-
39
-
-
70349117692
-
Tropical cyclone trend analysis using enhanced parallel coordinates and statistical analytics
-
2009
-
Chad A. Steed, Patrick J. Fitzpatrick, J. Edward Swan II, and T. J. Jankun-Kelly. 2009a. Tropical Cyclone Trend Analysis Using Enhanced Parallel Coordinates and Statistical Analytics. Cartography and Geographic Information Science 36, 3(2009), 251-265.
-
(2009)
Cartography and Geographic Information Science
, vol.36
, Issue.3
, pp. 251-265
-
-
Steed, C.A.1
Fitzpatrick, P.J.2
Swan, J.E.3
Jankun-Kelly, T.J.4
-
40
-
-
72849116335
-
Guided analysis of hurricane trends using statistical processes integrated with interactive parallel coordinates
-
Chad A. Steed, J. Edward Swan II, T. J. Jankun-Kelly, and Patrick J. Fitzpatrick. 2009b. Guided analysis of hurricane trends using statistical processes integrated with interactive parallel coordinates. In Visual Analytics Science and Technology (VAST), IEEE Symposium on. 19-26.
-
(2009)
Visual Analytics Science and Technology (VAST), IEEE Symposium on
, pp. 19-26
-
-
Steed, C.A.1
Swan, J.E.2
Jankun-Kelly, T.J.3
Fitzpatrick, P.J.4
-
41
-
-
84997838497
-
Maximally informative hierarchical representations of high-dimensional data
-
Greg Ver Steeg and Aram Galstyan. 2015. Maximally Informative Hierarchical Representations of High-Dimensional Data. In AISTATS'15.
-
(2015)
AISTATS'15
-
-
Steeg, G.V.1
Galstyan, A.2
-
42
-
-
84879707297
-
EnsembleMatrix: Interactive visualization to support machine learning with multiple classifiers
-
ACM, New York, NY, USA
-
Justin Talbot, Bongshin Lee, Ashish Kapoor, and Desney S. Tan. 2009. EnsembleMatrix: Interactive Visualization to Support Machine Learning with Multiple Classifiers. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'09). ACM, New York, NY, USA, 1283-1292.
-
(2009)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'09)
, pp. 1283-1292
-
-
Talbot, J.1
Lee, B.2
Kapoor, A.3
Tan, D.S.4
-
45
-
-
84937849825
-
Discovering structure in high-dimensional data through correlation explanation
-
Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger Eds.. Curran Associates, Inc.
-
Greg Ver Steeg and Aram Galstyan. 2014. Discovering Structure in High-Dimensional Data Through Correlation Explanation. In Advances in Neural Information Processing Systems 27, Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger (Eds.). Curran Associates, Inc., 577-585.
-
(2014)
Advances in Neural Information Processing Systems
, vol.27
, pp. 577-585
-
-
Steeg, G.V.1
Galstyan, A.2
-
46
-
-
84970002232
-
Show, attend and tell: Neural image caption generation with visual attention
-
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. In Proceedings of the 32nd International Conference on Machine Learning (ICML-15). 2048-2057.
-
(2015)
Proceedings of the 32nd International Conference on Machine Learning (ICML-15)
, pp. 2048-2057
-
-
Xu, K.1
Ba, J.2
Kiros, R.3
Cho, K.4
Courville, A.5
Salakhudinov, R.6
Zemel, R.7
Bengio, Y.8
|