Xiaoli Z. Fern

According to our database, Xiaoli Z. Fern authored at least 104 papers between 2003 and 2024.

Collaborative distances:

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

2024

Neural Networks Learn Statistics of Increasing Complexity.

Nora Belrose, Quintin Pope, Lucia Quirke, Alex Mallen, Xiaoli Z. Fern

CoRR, 2024

2023

Improving the Robustness of Point Convolution on k-Nearest Neighbor Neighborhoods with a Viewpoint-Invariant Coordinate Transform.

Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern, Fuxin Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

PoreMatMod.jl: Julia Package for in Silico Postsynthetic Modification of Crystal Structure Models.

E. Adrian Henle, Nickolas Gantzler, Praveen K. Thallapally, Xiaoli Z. Fern, Cory M. Simon

J. Chem. Inf. Model., 2022

Non-equilibrium molecular geometries in graph neural networks.

Ali Raza, E. Adrian Henle, Xiaoli Z. Fern

CoRR, 2022

2021

An Empirical Study of Bayesian Optimization: Acquisition Versus Partition.

Erich Merrill, Alan Fern, Xiaoli Z. Fern, Nima Dolatnia

J. Mach. Learn. Res., 2021

The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions.

Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern, Fuxin Li

CoRR, 2021

Modeling Infant Free Play Using Hidden Markov Models.

Hoang Le, Justine E. Hoch, Ori Ossmy, Karen E. Adolph, Xiaoli Z. Fern, Alan Fern

Proceedings of the IEEE International Conference on Development and Learning, 2021

Text Counterfactuals via Latent Optimization and Shapley-Guided Search.

Xiaoli Z. Fern, Quintin Pope

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis.

Trung Vu, Phung Lai, Raviv Raich, Anh T. Pham, Xiaoli Z. Fern, Arvind U. K. Rao

IEEE Trans. Medical Imaging, 2020

Towards explainable message passing networks for predicting carbon dioxide adsorption in metal-organic frameworks.

Ali Raza, Faaiq Waqar, Arni Sturluson, Cory Simon, Xiaoli Z. Fern

CoRR, 2020

Relation Extraction with Explanation.

Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Prasad Tadepalli

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

ScaleNet - Improve CNNs through Recursively Rescaling Objects.

Xingyi Li, Zhongang Qi, Xiaoli Z. Fern, Fuxin Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation.

Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Rasha Obeidat, Prasad Tadepalli

CoRR, 2019

Computational sustainability: computing for a better world and a sustainable future.

Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman

Commun. ACM, 2019

Description-Based Zero-shot Fine-Grained Entity Typing.

Rasha Obeidat, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Saliency Learning: Teaching the Model Where to Pay Attention.

Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Dictionary Learning for Bioacoustics Monitoring with Applications to Species Classification.

José Francisco Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern

J. Signal Process. Syst., 2018

Weakly Supervised Dictionary Learning.

Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim

IEEE Trans. Signal Process., 2018

Attentional Multi-Reading Sarcasm Detection.

Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli

CoRR, 2018

Weakly Supervised Learning of Multiple-Scale Dictionaries.

Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference.

Reza Ghaeini, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Kathy Lee, Ashequl Qadir, Yuan Ling, Aaditya Prakash, Xiaoli Z. Fern, Oladimeji Farri

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning with Latent Label Hierarchy from Incomplete Multi-Label Data.

Yuanli Pei, Xiaoli Z. Fern, Raviv Raich

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Discriminative Probabilistic Framework for Generalized Multi-Instance Learning.

Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Discriminative Clustering with Cardinality Constraints.

Anh T. Pham, Raviv Raich, Xiaoli Z. Fern

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Event Detection with Neural Networks: A Rigorous Empirical Evaluation.

John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference.

Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Open Set Learning with Counterfactual Images.

Lawrence Neal, Matthew L. Olson, Xiaoli Z. Fern, Weng-Keen Wong, Fuxin Li

Proceedings of the Computer Vision - ECCV 2018, 2018

Joint Neural Entity Disambiguation with Output Space Search.

Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Chao Ma, Rasha Mohammad Obeidat, Prasad Tadepalli

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Dependent Gated Reading for Cloze-Style Question Answering.

Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Dynamic Programming for Instance Annotation in Multi-Instance Multi-Label Learning.

Anh T. Pham, Raviv Raich, Xiaoli Z. Fern

IEEE Trans. Pattern Anal. Mach. Intell., 2017

MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information.

Tarn Nguyen, Raviv Raich, Xiaoli Z. Fern, Anh T. Pham

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Filter shaping for Convolutional Neural Networks.

Xingyi Li, Fuxin Li, Xiaoli Z. Fern, Raviv Raich

Proceedings of the 5th International Conference on Learning Representations, 2017

Discriminative recurring signal detection and localization.

Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Online learning of time-frequency patterns.

José Francisco Ruiz-Muñoz, Raviv Raich, Mauricio Orozco-Alzate, Xiaoli Z. Fern

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Simultaneous segmentation and classification of bird song using CNN.

Revathy Narasimhan, Xiaoli Z. Fern, Raviv Raich

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms.

Chao Ma, Janardhan Rao Doppa, Prasad Tadepalli, Hamed Shahbazi, Xiaoli Z. Fern

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework.

Yuanli Pei, Xiaoli Z. Fern, Teresa Vania Tjahja, Rómer Rosales

ACM Trans. Knowl. Discov. Data, 2016

Budgeted Optimization with Constrained Experiments.

Javad Azimi, Xiaoli Z. Fern, Alan Fern

J. Artif. Intell. Res., 2016

Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data.

Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich

CoRR, 2016

Cross Lingual Mention and Entity Embeddings for Cross-Lingual Entity Disambiguation.

Hamed Shahbazi, Chao Ma, Xiaoli Z. Fern, Prasad Tadepalli

Proceedings of the 2016 Text Analysis Conference, 2016

Weakly-supervised analysis dictionary learning with cardinality constraints.

Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Label Embedding Approach for Transfer Learning.

Rasha Obeidat, Xiaoli Z. Fern, Prasad Tadepalli

Proceedings of the Joint International Conference on Biological Ontology and BioCreative, 2016

Semi-supervised learning in the presence of novel class instances.

Anh T. Pham, Raviv Raich, Xiaoli Z. Fern

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Bayesian Optimization with Resource Constraints and Production.

Nima Dolatnia, Alan Fern, Xiaoli Z. Fern

Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

Event Nugget Detection with Forward-Backward Recurrent Neural Networks.

Reza Ghaeini, Xiaoli Z. Fern, Liang Huang, Prasad Tadepalli

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity.

Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Matthew Betts

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Active Learning from Relative Comparisons.

Sicheng Xiong, Yuanli Pei, Rómer Rosales, Xiaoli Z. Fern

IEEE Trans. Knowl. Data Eng., 2015

Context-aware MIML instance annotation: exploiting label correlations with classifier chains.

Forrest Briggs, Xiaoli Z. Fern, Raviv Raich

Knowl. Inf. Syst., 2015

Discriminative Clustering with Relative Constraints.

Yuanli Pei, Xiaoli Z. Fern, Rómer Rosales, Teresa Vania Tjahja

CoRR, 2015

Bayesian Active Clustering with Pairwise Constraints.

Yuanli Pei, Li-Ping Liu, Xiaoli Z. Fern

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Dictionary extraction from a collection of spectrograms for bioacoustics monitoring.

José Francisco Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Simultaneous instance annotation and clustering in multi-instance multi-label learning.

Anh T. Pham, Raviv Raich, Xiaoli Z. Fern

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Multi-instance multi-label learning in the presence of novel class instances.

Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Jesús Pérez Arriaga

Proceedings of the 32nd International Conference on Machine Learning, 2015

Supervised hierarchical segmentation for bird song recording.

Teresa Vania Tjahja, Xiaoli Z. Fern, Raviv Raich, Anh T. Pham

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions.

Nima Dolatnia, Alan Fern, Xiaoli Z. Fern

Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Learning Greedy Policies for the Easy-First Framework.

Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli

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

2014

Active Learning of Constraints for Semi-Supervised Clustering.

Sicheng Xiong, Javad Azimi, Xiaoli Z. Fern

IEEE Trans. Knowl. Data Eng., 2014

Constrained instance clustering in multi-instance multi-label learning.

Yuanli Pei, Xiaoli Z. Fern

Pattern Recognit. Lett., 2014

Active Metric Learning from Relative Comparisons.

Sicheng Xiong, Rómer Rosales, Yuanli Pei, Xiaoli Z. Fern

CoRR, 2014

Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning.

Anh T. Pham, Raviv Raich, Xiaoli Z. Fern

CoRR, 2014

Efficient instance annotation in multi-instance learning.

Anh T. Pham, Raviv Raich, Xiaoli Z. Fern

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Taming a Fuzzer Using Delta Debugging Trails.

Yuanli Pei, Arpit Christi, Xiaoli Z. Fern, Alex Groce, Weng-Keen Wong

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Prune-and-Score: Learning for Greedy Coreference Resolution.

Chao Ma, Janardhan Rao Doppa, John Walker Orr, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Learning Scripts as Hidden Markov Models.

John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Instance Annotation for Multi-Instance Multi-Label Learning.

Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Qi Lou

ACM Trans. Knowl. Discov. Data, 2013

Multi-Label Classifier Chains for Bird Sound

Forrest Briggs, Xiaoli Z. Fern, Jed Irvine

CoRR, 2013

Novelty Detection Under Multi-Instance Multi-Label Framework.

Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern

CoRR, 2013

Taming compiler fuzzers.

Yang Chen, Alex Groce, Chaoqiang Zhang, Weng-Keen Wong, Xiaoli Z. Fern, Eric Eide, John Regehr

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2013

A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization.

Ali Jalali, Javad Azimi, Xiaoli Z. Fern, Ruofei Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Novelty detection under multi-label multi-instance framework.

Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment.

Forrest Briggs, Yonghong Huang, Raviv Raich, Konstantinos Eftaxias, Zhong Lei, William Cukierski, Sarah Frey Hadley, Adam Hadley, Matthew Betts, Xiaoli Z. Fern, Jed Irvine, Lawrence Neal, Anil Thomas, Gábor Fodor, Grigorios Tsoumakas, Hong Wei Ng, Thi Ngoc Tho Nguyen, Heikki Huttunen, Pekka Ruusuvuori, Tapio Manninen, Aleksandr Diment, Tuomas Virtanen, Julien Marzat, Joseph Defretin, Dave Callender, Chris Hurlburt, Ken Larrey, Maxim Milakov

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Context-Aware MIML Instance Annotation.

Forrest Briggs, Xiaoli Z. Fern, Raviv Raich

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Exploration vs Exploitation in Bayesian Optimization

Ali Jalali, Javad Azimi, Xiaoli Z. Fern

CoRR, 2012

The impact of visual appearance on user response in online display advertising.

Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Z. Fern

Proceedings of the 21st World Wide Web Conference, 2012

Regularized joint density estimation for multi-instance learning.

Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Constructing Training Sets for Outlier Detection.

Li-Ping Liu, Xiaoli Z. Fern

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Rank-loss support instance machines for MIML instance annotation.

Forrest Briggs, Xiaoli Z. Fern, Raviv Raich

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

Hybrid Batch Bayesian Optimization.

Javad Azimi, Ali Jalali, Xiaoli Zhang Fern

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

Batch Active Learning via Coordinated Matching.

Javad Azimi, Alan Fern, Xiaoli Zhang Fern, Glencora Borradaile, Brent Heeringa

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

Visual appearance of display ads and its effect on click through rate.

Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Z. Fern

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Learning Rules from Incomplete Examples via Implicit Mention Models.

Janardhan Rao Doppa, Shahed Sorower, Mohammad NasrEsfahani, John Walker Orr, Thomas G. Dietterich, Xiaoli Z. Fern, Prasad Tadepalli, Jed Irvine

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

Dynamic Batch Bayesian Optimization

Javad Azimi, Ali Jalali, Xiaoli Z. Fern

CoRR, 2011

Inverting Grice's Maxims to Learn Rules from Natural Language Extractions.

Shahed Sorower, Thomas G. Dietterich, Janardhan Rao Doppa, John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Budgeted Optimization with Concurrent Stochastic-Duration Experiments.

Javad Azimi, Alan Fern, Xiaoli Z. Fern

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Time-frequency segmentation of bird song in noisy acoustic environments.

Lawrence Neal, Forrest Briggs, Raviv Raich, Xiaoli Z. Fern

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Mining problem-solving strategies from HCI data.

Xiaoli Z. Fern, Chaitanya Komireddy, Valentina Grigoreanu, Margaret M. Burnett

ACM Trans. Comput. Hum. Interact., 2010

Learning multiple nonredundant clusterings.

Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy

ACM Trans. Knowl. Discov. Data, 2010

MultiClust 2010: discovering, summarizing and using multiple clusterings.

Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy

SIGKDD Explor., 2010

Batch Bayesian Optimization via Simulation Matching.

Javad Azimi, Alan Fern, Xiaoli Z. Fern

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Myopic Policies for Budgeted Optimization with Constrained Experiments.

Javad Azimi, Xiaoli Z. Fern, Alan Fern, Elizabeth Burrows, Frank Chaplen, Yanzhen Fan, Hong Liu, Jun Jaio, Rebecca Schaller

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

2009

Clustering Ensembles Using Ants Algorithm.

Javad Azimi, Paul Cull, Xiaoli Z. Fern

Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009

Adaptive Cluster Ensemble Selection.

Javad Azimi, Xiaoli Z. Fern

Proceedings of the IJCAI 2009, 2009

A Syllable-Level Probabilistic Framework for Bird Species Identification.

Balaji Lakshminarayanan, Raviv Raich, Xiaoli Z. Fern

Proceedings of the International Conference on Machine Learning and Applications, 2009

Learning non-redundant codebooks for classifying complex objects.

Wei Zhang, Akshat Surve, Xiaoli Z. Fern, Thomas G. Dietterich

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Audio Classification of Bird Species: A Statistical Manifold Approach.

Forrest Briggs, Raviv Raich, Xiaoli Z. Fern

Proceedings of the ICDM 2009, 2009

2008

Cluster Ensemble Selection.

Xiaoli Z. Fern, Wei Lin

Stat. Anal. Data Min., 2008

Testing vs. code inspection vs. what else?: male and female end users' debugging strategies.

Neeraja Subrahmaniyan, Laura Beckwith, Valentina Grigoreanu, Margaret M. Burnett, Susan Wiedenbeck, Vaishnavi Narayanan, Karin Bucht, Russell Drummond, Xiaoli Z. Fern

Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

2007

Mining Interpretable Human Strategies: A Case Study.

Xiaoli Z. Fern, Chaitanya Komireddy, Margaret M. Burnett

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Non-redundant Multi-view Clustering via Orthogonalization.

Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Gender Differences in End-User Debugging, Revisited: What the Miners Found.

Valentina Grigoreanu, Laura Beckwith, Xiaoli Z. Fern, Sherry Yang, Chaitanya Komireddy, Vaishnavi Narayanan, Curtis R. Cook, Margaret M. Burnett

Proceedings of the 2006 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2006), 2006

2005

Correlation Clustering for Learning Mixtures of Canonical Correlation Models.

Xiaoli Zhang Fern, Carla E. Brodley, Mark A. Friedl

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

2004

Solving cluster ensemble problems by bipartite graph partitioning.

Xiaoli Zhang Fern, Carla E. Brodley

Proceedings of the Machine Learning, 2004

2003

Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach.

Xiaoli Zhang Fern, Carla E. Brodley

Proceedings of the Machine Learning, 2003

Boosting Lazy Decision Trees.

Xiaoli Zhang Fern, Carla E. Brodley

Proceedings of the Machine Learning, 2003