Hsuan-Tien Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

SERIL: Noise Adaptive Speech Enhancement Using Regularization-Based Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Cold-start Active Learning through Self-supervised Language Modeling.

[BibT_eX]

[DOI]

Michelle Yuan

Jordan L. Boyd-Graber

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning from Label Proportions with Consistency Regularization.

[BibT_eX]

[DOI]

Kuen-Han Tsai

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Annotation cost-sensitive active learning by tree sampling.

[BibT_eX]

[DOI]

Yu-Lin Tsou

Mach. Learn., 2019

Dynamic principal projection for cost-sensitive online multi-label classification.

[BibT_eX]

[DOI]

Hong-Min Chu

Mach. Learn., 2019

Attention-based Deep Tropical Cyclone Rapid Intensification Prediction.

[BibT_eX]

[DOI]

Ching-Yuan Bai

Buo-Fu Chen

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), 2019

Advances in Cost-sensitive Multiclass and Multilabel Classification.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Learning with a Rethinking Structure for Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Automatic Bridge Bidding Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Chih-Kuan Yeh

Cheng-Yu Hsieh

IEEE Trans. Games, 2018

Multi-Label Classification with Feature-Aware Cost-Sensitive Label Embedding.

[BibT_eX]

[DOI]

Hsien-Chun Chiu

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2018

Cost-Sensitive Reference Pair Encoding for Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Rotation-blended CNNs on a New Open Dataset for Tropical Cyclone Image-to-intensity Regression.

[BibT_eX]

[DOI]

Boyo Chen

Buo-Fu Chen

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Compatibility Family Learning for Item Recommendation and Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning.

[BibT_eX]

[DOI]

Cheng-Yu Hsieh

Yi-An Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Progressive random k-labelsets for cost-sensitive multi-label classification.

[BibT_eX]

[DOI]

Yuping Wu

Mach. Learn., 2017

Cost-sensitive label embedding for multi-label classification.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Soft Methodology for Cost-and-error Sensitive Classification.

[BibT_eX]

[DOI]

CoRR, 2017

libact: Pool-based Active Learning in Python.

[BibT_eX]

[DOI]

CoRR, 2017

Cost-Sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification.

[BibT_eX]

[DOI]

Kuo-Hsuan Lo

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2017

Cyclic Classifier Chain for Cost-Sensitive Multilabel Classification.

[BibT_eX]

[DOI]

Yi-An Lin

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

Cost-Sensitive Random Pair Encoding for Multi-Label Classification.

[BibT_eX]

[DOI]

Yao-Yuan Yang

Chih-Wei Chang

CoRR, 2016

Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation.

[BibT_eX]

[DOI]

Yu-An Chung

CoRR, 2016

A Simple Unlearning Framework for Online Learning Under Concept Drifts.

[BibT_eX]

[DOI]

Sheng-Chi You

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Cost-Aware Pre-Training for Multiclass Cost-Sensitive Deep Learning.

[BibT_eX]

[DOI]

Yu-An Chung

Shao-Wen Yang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Can Active Learning Experience Be Transferred?

[BibT_eX]

[DOI]

Hong-Min Chu

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Automatic Bridge Bidding Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Chih-Kuan Yeh

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA.

[BibT_eX]

[DOI]

Chi-Jen Lu

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Active Learning Using Hint Information.

[BibT_eX]

[DOI]

Neural Comput., 2015

A practical divide-and-conquer approach for preference-based learning to rank.

[BibT_eX]

[DOI]

Han-Jay Yang

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Active Learning by Learning.

[BibT_eX]

[DOI]

Wei-Ning Hsu

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

Contract Bridge Bidding by Learning.

[BibT_eX]

[DOI]

Chun-Yen Ho

Proceedings of the Computer Poker and Imperfect Information, 2015

2014

Improving ranking performance with cost-sensitive ordinal classification via regression.

[BibT_eX]

[DOI]

Yu-Xun Ruan

Ming-Feng Tsai

Inf. Retr., 2014

Machine Learning Approaches for Interactive Verification.

[BibT_eX]

[DOI]

Yu-Cheng Chou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Condensed Filter Tree for Cost-Sensitive Multi-Label Classification.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Boosting with Online Binary Learners for the Multiclass Bandit Problem.

[BibT_eX]

[DOI]

Shang-Tse Chen

Chi-Jen Lu

Proceedings of the 31th International Conference on Machine Learning, 2014

Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification.

[BibT_eX]

[DOI]

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions.

[BibT_eX]

[DOI]

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013

Multilabel Classification Using Error-Correcting Codes of Hard or Soft Bits.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Data Selection Techniques for Large-Scale Rank SVM.

[BibT_eX]

[DOI]

Ken-Yi Lin

Te-Kang Jan

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Active Learning for Multiclass Cost-Sensitive Classification Using Probabilistic Models.

[BibT_eX]

[DOI]

Po-Lung Chen

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Pairwise Regression with Upper Confidence Bound for Contextual Bandit with Multiple Actions.

[BibT_eX]

[DOI]

Ya-Hsuan Chang

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013.

[BibT_eX]

[DOI]

Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

Effective string processing and matching for author disambiguation.

[BibT_eX]

[DOI]

Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking.

[BibT_eX]

[DOI]

Wei-Yuan Shen

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Unsupervised Semantic Feature Discovery for Image Object Retrieval and Tag Refinement.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2012

Multilabel Classification with Principal Label Space Transformation.

[BibT_eX]

[DOI]

Farbound Tai

Neural Comput., 2012

Reduction from Cost-Sensitive Ordinal Ranking to Weighted Binary Classification.

[BibT_eX]

[DOI]

Neural Comput., 2012

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation.

[BibT_eX]

[DOI]

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

Active Learning with Hinted Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the 4th Asian Conference on Machine Learning, 2012

A Linear Ensemble of Individual and Blended Models for Music Rating Prediction.

[BibT_eX]

[DOI]

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

Feature-aware Label Space Dimension Reduction for Multi-label Classification.

[BibT_eX]

[DOI]

Yao-Nan Chen

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A simple methodology for soft cost-sensitive classification.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

An Online Boosting Algorithm with Theoretical Justifications.

[BibT_eX]

[DOI]

Shang-Tse Chen

Chi-Jen Lu

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Multi-label Active Learning with Auxiliary Learner.

[BibT_eX]

[DOI]

Chen-Wei Hung

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Multi-label Classification with Error-correcting Codes.

[BibT_eX]

[DOI]

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Unsupervised auxiliary visual words discovery for large-scale image object retrieval.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Cost-Sensitive Classification on Pathogen Species of Bacterial Meningitis by Surface Enhanced Raman Scattering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010

One-sided Support Vector Regression for Multiclass Cost-sensitive Classification.

[BibT_eX]

[DOI]

Han-Hsing Tu

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

2008

From Ordinal Ranking to Binary Classification.

[BibT_eX]

[DOI]

PhD thesis, 2008

Support Vector Machinery for Infinite Ensemble Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2008

2007

A note on Platt's probabilistic outputs for support vector machines.

[BibT_eX]

[DOI]

Chih-Jen Lin

Ruby C. Weng

Mach. Learn., 2007

Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Ordinal Regression by Extended Binary Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006

2005

Improving Generalization by Data Categorization.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Infinite Ensemble Learning with Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2005, 2005

2002

A Note on the Decomposition Methods for Support Vector Regression.

[BibT_eX]

[DOI]

Shuo-Peng Liao