Harry Zhang

Ben Eisner

David Held

Proceedings of the Conference on Robot Learning, 2023

The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

The Unmet Data Visualization Needs of Decision Makers Within Organizations.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2022

ART/ATK: A research platform for assessing and mitigating the sim-to-real gap in robotics and autonomous vehicle engineering.

[BibT_eX]

[DOI]

CoRR, 2022

FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects.

[BibT_eX]

[DOI]

Ben Eisner

David Held

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Enabling On-Device Training of Speech Recognition Models With Federated Dropout.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

AVPLUG: Approach Vector PLanning for Unicontact Grasping amid Clutter.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Robots of the Lost Arc: Learning to Dynamically Manipulate Fixed-Endpoint Ropes and Cables.

[BibT_eX]

[DOI]

CoRR, 2020

6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN.

[BibT_eX]

[DOI]

Yahav Avigal

Samuel Paradis

CoRR, 2020

Dex-Net AR: Distributed Deep Grasp Planning Using a Commodity Cellphone and Augmented Reality App.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities.

[BibT_eX]

[DOI]

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

Ensemble Transfer Learning Algorithm.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

Incorporating Positional Information into Deep Belief Networks for Sentiment Classification.

[BibT_eX]

[DOI]

Yong Jin

Donglei Du

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017

A weighted-resampling based transfer learning algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Bagging based ensemble transfer learning.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2016

Improving Deep Belief Networks via Delta Rule for Sentiment Classification.

[BibT_eX]

[DOI]

Yong Jin

Donglei Du

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Gaussian Neuron in Deep Belief Network for Sentiment Prediction.

[BibT_eX]

[DOI]

Yong Jin

Donglei Du

Proceedings of the Advances in Artificial Intelligence, 2016

2015

A MultiBoosting Based Transfer Learning Algorithm.

[BibT_eX]

[DOI]

J. Adv. Comput. Intell. Intell. Informatics, 2015

2014

Bayesian Citation-KNN with distance weighting.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2014

A Novel Distance Function: frequency difference Metric.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2014

2013

Naive Bayes text classifiers: a locally weighted learning approach.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2013

Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

2012

Improving Tree augmented Naive Bayes for class probability estimation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

Weighted average of one-dependence estimators†.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2012

Not so greedy: Randomly Selected Naive Bayes.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

A Tri-training Based Transfer Learning Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Cost-Sensitive Self-Training.

[BibT_eX]

[DOI]

Yuanyuan Guo

Bruce Spencer

Proceedings of the Advances in Artificial Intelligence, 2012

2011

A clustering-based differential evolution for global optimization.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2011

The Unsymmetrical-Style Co-training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Instance Selection in Semi-supervised Learning.

[BibT_eX]

[DOI]

Yuanyuan Guo

Xiaobo Liu

Proceedings of the Advances in Artificial Intelligence, 2011

2010

Learning Decision Trees with log Conditional Likelihood.

[BibT_eX]

[DOI]

Han Liang

Yuhong Yan

Int. J. Pattern Recognit. Artif. Intell., 2010

Usability evaluation of beep-to-the-box.

[BibT_eX]

[DOI]

Young Seok Lee

Santosh Basapur

Claudia V. S. Guerrero

Noel Massey

Proceedings of the 12th Conference on Human-Computer Interaction with Mobile Devices and Services, 2010

An Extensive Empirical Study on Semi-supervised Learning.

[BibT_eX]

[DOI]

Yuanyuan Guo

Xiaoda Niu

Proceedings of the ICDM 2010, 2010

Experience, adjustment, and engagement: the role of video in law enforcement.

[BibT_eX]

[DOI]

Claudia V. S. Guerrero

Amruta Tamdoo

Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

Semi-supervised Probability Propagation on Instance-Attribute Graphs.

[BibT_eX]

[DOI]

Bin Wang

Proceedings of the Advances in Artificial Intelligence, 2010

2009

A Novel Bayes Model: Hidden Naive Bayes.

[BibT_eX]

[DOI]

Zhihua Cai

IEEE Trans. Knowl. Data Eng., 2009

2008

Understanding Driving Activity Using Ensemble Methods.

[BibT_eX]

[DOI]

Kari Torkkola

Mike Gardner

Christopher Schreiner

Proceedings of the Computational Intelligence in Automotive Applications, 2008

A Switching Criterion for Intensification and Diversification in Local Search for SAT.

[BibT_eX]

[DOI]

Wanxia Wei

Chu Min Li

J. Satisf. Boolean Model. Comput., 2008

Naive Bayes for optimal ranking.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2008

Using Instance cloning to Improve Naive Bayes for Ranking.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2008

Proper Model Selection with Significance Test.

[BibT_eX]

[DOI]

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

Discriminative parameter learning for Bayesian networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

Switching among Non-Weighting, Clause Weighting, and Variable Weighting in Local Search for SAT.

[BibT_eX]

[DOI]

Wanxia Wei

Chu Min Li

Proceedings of the Principles and Practice of Constraint Programming, 2008

Semi-supervised Self-training for Sentence Subjectivity Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence , 2008

2007

Combining Adaptive Noise and Look-Ahead in Local Search for SAT.

[BibT_eX]

[DOI]

Chu Min Li

Wanxia Wei

Proceedings of the Theory and Applications of Satisfiability Testing, 2007

Naturalistic use of cell phones in driving and context-based user assistance.

[BibT_eX]

[DOI]

Christopher Schreiner

Keshu Zhang

Kari Torkkola

Proceedings of the 9th Conference on Human-Computer Interaction with Mobile Devices and Services, 2007

A Context Aware Automatic Traffic Notification System for Cell Phones.

[BibT_eX]

[DOI]

Keshu Zhang

Kari Torkkola

Haifeng Li

Christopher Schreiner

Robert Mike Gardner

Zheng Zhao

Proceedings of the 27th International Conference on Distributed Computing Systems Workshops (ICDCS 2007 Workshops), 2007

Learning Locally Weighted C4.4 for Class Probability Estimation.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 10th International Conference, 2007

Probability Based Metrics for Locally Weighted Naive Bayes.

[BibT_eX]

[DOI]

Bin Wang

Proceedings of the Advances in Artificial Intelligence, 2007

2006

Learning probabilistic decision trees for AUC.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2006

Identification of Real-Time Diagnostic Measures of Visual Distraction With an Automatic Eye-Tracking System.

[BibT_eX]

[DOI]

Matthew R. H. Smith

Gerald J. Witt

Hum. Factors, 2006

Weightily Averaged One-Dependence Estimators.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Decision Trees for Probability Estimation: An Empirical Study.

[BibT_eX]

[DOI]

Han Liang

Yuhong Yan

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Full Bayesian network classifiers.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted.

[BibT_eX]

[DOI]

Zhihua Cai

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

Improving the Ranking Performance of Decision Trees.

[BibT_eX]

[DOI]

Bin Wang

Proceedings of the Machine Learning: ECML 2006, 2006

Probabilistic Inference Trees for Classification and Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2006

Lazy Averaged One-Dependence Estimators.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2006

Learning Naive Bayes for Probability Estimation by Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2006

A Fast Decision Tree Learning Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Exploring Conditions For The Optimality Of Naïve Bayes.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2005

Augmenting naive Bayes for ranking.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

Learning Instance Greedily Cloning Naive Bayes for Ranking.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Learning Tree Augmented Naive Bayes for Ranking.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2005

Driver State Monitor from DELPHI.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Instance Cloning Local Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2005

Learning <i>k</i>-Nearest Neighbor Naive Bayes for Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

One Dependence Augmented Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

Hidden Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2005

Representing Conditional Independence Using Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2005

2004

Learning Weighted Naive Bayes with Accurate Ranking.

[BibT_eX]

[DOI]

Shengli Sheng

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Learning Conditional Independence Tree for Ranking.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

The Optimality of Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

Conditional Independence Trees.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2004, 2004

Naive Bayesian Classifiers for Ranking.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2004, 2004

2003

Numeric Mapping and Learnability of Naive Bayes.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2003

AUC: a Statistically Consistent and more Discriminating Measure than Accuracy.

[BibT_eX]

[DOI]

Jin Huang

Proceedings of the IJCAI-03, 2003

A Fundamental Issue of Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2003

AUC: A Better Measure than Accuracy in Comparing Learning Algorithms.

[BibT_eX]

[DOI]

Jin Huang