Jennifer G. Dy

234 papers A* 48A 27B 7C 6Misc 1Journal 112Unranked 33

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ADAPT to Robustify Prompt Tuning Vision Transformers. Trans. Mach. Learn. Res. Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer G. Dy
2025	A	`conf`	Axiomatic Explainer Globalness via Optimal Transport. AISTATS Davin Hill, Joshua T. Bone, Aria Masoomi, Max Torop, Jennifer G. Dy
2025	J	`jnl`	DISCO: Disentangled Communication Steering for Large Language Models. CoRR Max Torop, Aria Masoomi, Masih Eskandar, Jennifer G. Dy
2025	J	`jnl`	Dependency-aware Maximum Likelihood Estimation for Active Learning. CoRR Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy
2025	J	`jnl`	Dependency-aware Maximum Likelihood Estimation for Active Learning. Trans. Mach. Learn. Res. Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy
2025	J	`jnl`	Grounding Multimodal Large Language Models with Quantitative Skin Attributes: A Retrieval Study. CoRR Max Torop, Masih Eskandar, Nicholas R. Kurtansky, Jinyang Liu, Jochen Weber, Octavia I. Camps, Veronica Rotemberg, Jennifer G. Dy, Kivanç Köse
2025	J	`jnl`	H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition. CoRR Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii, Theodoros-Thirimachos Davarakis, Prudence Lam, Claudia Plant, Jennifer G. Dy, Stratis Ioannidis
2025	A*	`conf`	LVT: Large-Scale Scene Reconstruction via Local View Transformers. SIGGRAPH Asia Tooba Imtiaz, Lucy Chai, Kathryn Heal, Xuan Luo, Jungyeon Park, Jennifer G. Dy, John Flynn
2025	J	`jnl`	LVT: Large-Scale Scene Reconstruction via Local View Transformers. CoRR Tooba Imtiaz, Lucy Chai, Kathryn Heal, Xuan Luo, Jungyeon Park, Jennifer G. Dy, John Flynn
2025	A*	`conf`	Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation. EMNLP Ziniu Zhang, Zhenshuo Zhang, Dongyue Li, Lu Wang, Jennifer G. Dy, Hongyang R. Zhang
2025	J	`jnl`	Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation. CoRR Ziniu Zhang, Zhenshuo Zhang, Dongyue Li, Lu Wang, Jennifer G. Dy, Hongyang R. Zhang
2025	J	`jnl`	On the Role of Calibration in Benchmarking Algorithmic Fairness for Skin Cancer Detection. CoRR Brandon Dominique, Prudence Lam, Nicholas R. Kurtansky, Jochen Weber, Kivanç Köse, Veronica Rotemberg, Jennifer G. Dy
2025	J	`jnl`	OrdShap: Feature Position Importance for Sequential Black-Box Models. CoRR Davin Hill, Brian L. Hill, Aria Masoomi, Vijay S. Nori, Robert E. Tillman, Jennifer G. Dy
2025	J	`jnl`	SAIF: Sparse Adversarial and Imperceptible Attack Framework. Trans. Mach. Learn. Res. Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Masih Eskandar, Mario Sznaier, Octavia I. Camps, Jennifer G. Dy
2025	J	`jnl`	SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification. CoRR Elifnur Sunger, Tales Imbiriba, John Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy
2025	A*	`conf`	STAR: Stability-Inducing Weight Perturbation for Continual Learning. ICLR Masih Eskandar, Tooba Imtiaz, Davin Hill, Zifeng Wang, Jennifer G. Dy
2025	J	`jnl`	STAR: Stability-Inducing Weight Perturbation for Continual Learning. CoRR Masih Eskandar, Tooba Imtiaz, Davin Hill, Zifeng Wang, Jennifer G. Dy
2024	J	`jnl`	ADAPT to Robustify Prompt Tuning Vision Transformers. CoRR Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer G. Dy
2024	A	`conf`	Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions. AISTATS Zulqarnain Khan, Davin Hill, Aria Masoomi, Joshua T. Bone, Jennifer G. Dy
2024	J	`jnl`	Axiomatic Explainer Globalness via Optimal Transport. CoRR Davin Hill, Joshua T. Bone, Aria Masoomi, Max Torop, Jennifer G. Dy
2024	A	`conf`	Boundary-Aware Uncertainty for Feature Attribution Explainers. AISTATS Davin Hill, Aria Masoomi, Max Torop, Sandesh Ghimire, Jennifer G. Dy
2024	J	`jnl`	Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming. IEEE/ACM Trans. Netw. Batool Salehi, Utku Demir, Debashri Roy, Suyash Pradhan, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2024	A*	`ed.`	Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada AAAI Michael J. Wooldridge, Jennifer G. Dy, Sriraam Natarajan
2023	J	`jnl`	Divide and Compose with Score Based Generative Models. CoRR Sandesh Ghimire, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy
2023	A*	`conf`	DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. ICML Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2023	J	`jnl`	DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. CoRR Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2023	J	`jnl`	Explanations of Black-Box Models based on Directional Feature Interactions. CoRR Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy
2023	J	`jnl`	Geometry of Score Based Generative Models. CoRR Sandesh Ghimire, Jinyang Liu, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy
2023	J	`jnl`	Graph transfer learning. Knowl. Inf. Syst. Andrey Gritsenko, Kimia Shayestehfard, Yuan Guo, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis
2023	J	`jnl`	High-precision regressors for particle physics. CoRR Fady Bishara, Ayan Paul, Jennifer G. Dy
2023	A	`ed.`	International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain. AISTATS Francisco J. R. Ruiz, Jennifer G. Dy, Jan-Willem van de Meent
2023	J	`jnl`	Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming. CoRR Batool Salehi, Utku Demir, Debashri Roy, Suyash Pradhan, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2023	—	`conf`	QueryForm: A Simple Zero-shot Form Entity Query Framework. ACL (Findings) Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
2023	A*	`conf`	SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. NeurIPS Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy
2023	J	`jnl`	SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. CoRR Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy
2023	J	`jnl`	Stone masonry design automation via reinforcement learning. Artif. Intell. Eng. Des. Anal. Manuf. Sungku Kang, Jennifer G. Dy, Michael B. Kane
2023	J	`jnl`	Transforming Complex Problems Into K-Means Solutions. IEEE Trans. Pattern Anal. Mach. Intell. Hongfu Liu, Junxiang Chen, Jennifer G. Dy, Yun Fu
2022	J	`jnl`	A Computational Neural Model for Mapping Degenerate Neural Architectures. Neuroinformatics Zulqarnain Khan, Yiyu Wang, Eli Sennesh, Jennifer G. Dy, Sarah Ostadabbas, Jan-Willem van de Meent, J. Benjamin Hutchinson, Ajay B. Satpute
2022	J	`jnl`	Analyzing the Effects of Classifier Lipschitzness on Explainers. CoRR Zulqarnain Khan, Aria Masoomi, Davin Hill, Jennifer G. Dy
2022	J	`jnl`	Deep Bayesian Unsupervised Lifelong Learning. Neural Networks Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
2022	A	`conf`	Deep Layer-wise Networks Have Closed-Form Weights. AISTATS Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy
2022	J	`jnl`	Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. CoRR Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2022	J	`jnl`	Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. IEEE Trans. Veh. Technol. Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2022	—	`conf`	DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. ECCV (26) Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022	J	`jnl`	DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022	J	`jnl`	Explainable deep learning for insights in El Nino and river flows. CoRR Yumin Liu, Kate Duffy, Jennifer G. Dy, Auroop R. Ganguly
2022	J	`jnl`	Explanation Uncertainty with Decision Boundary Awareness. CoRR Davin Hill, Aria Masoomi, Sandesh Ghimire, Max Torop, Jennifer G. Dy
2022	A*	`conf`	Explanations of Black-Box Models based on Directional Feature Interactions. ICLR Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy
2022	A*	`conf`	Learning to Prompt for Continual Learning. CVPR Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022	A*	`conf`	Pruning Adversarially Robust Neural Networks without Adversarial Examples. ICDM Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2022	J	`jnl`	Pruning Adversarially Robust Neural Networks without Adversarial Examples. CoRR Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2022	J	`jnl`	QueryForm: A Simple Zero-shot Form Entity Query Framework. CoRR Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
2022	J	`jnl`	Radio Frequency Fingerprinting on the Edge. IEEE Trans. Mob. Comput. Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis
2022	J	`jnl`	SAIF: Sparse Adversarial and Interpretable Attack Framework. CoRR Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Mario Sznaier, Octavia I. Camps, Jennifer G. Dy
2022	J	`jnl`	Sample complexity of rank regression using pairwise comparisons. Pattern Recognit. Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
2022	A*	`conf`	SparCL: Sparse Continual Learning on the Edge. NeurIPS Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2022	J	`jnl`	SparCL: Sparse Continual Learning on the Edge. CoRR Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2022	J	`jnl`	Spectral Ranking Regression. ACM Trans. Knowl. Discov. Data Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2021	—	`conf`	Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. PETRA Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2021	J	`jnl`	Deep Bayesian Unsupervised Lifelong Learning. CoRR Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
2021	—	`conf`	Deep Learning on Visual and Location Data for V2I mmWave Beamforming. MSN Guillem Reus Muns, Batool Salehi, Debashri Roy, Tong Jian, Zifeng Wang, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2021	A	`conf`	Deep Spectral Ranking. AISTATS Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2021	A	`conf`	Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling. AISTATS Setareh Ariafar, Zelda Mariet, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek
2021	A*	`conf`	Graph Transfer Learning. ICDM Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis
2021	J	`jnl`	Improved prediction of smoking status via isoform-aware RNA-seq deep learning models. PLoS Comput. Biol. Zifeng Wang, Aria Masoomi, Zhonghui Xu, Adel Boueiz, Sool Lee, Tingting Zhao, Russell Bowler, Michael H. Cho, Edwin K. Silverman, Craig P. Hersh, Jennifer G. Dy, Peter J. Castaldi
2021	J	`jnl`	Learning to Prompt for Continual Learning. CoRR Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2021	J	`jnl`	Machine Learning on Camera Images for Fast mmWave Beamforming. CoRR Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2021	J	`jnl`	On the Sample Complexity of Rank Regression from Pairwise Comparisons. CoRR Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
2021	J	`jnl`	Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors. IEEE Trans. Biomed. Eng. Sunghoon Ivan Lee, Catherine P. Adans-Dester, Anne T. O'Brien, Gloria P. Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer G. Dy, Paolo Bonato
2021	A	`conf`	Rate-Regularization and Generalization in Variational Autoencoders. AISTATS Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
2021	A*	`conf`	Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. NeurIPS Sandesh Ghimire, Aria Masoomi, Jennifer G. Dy
2021	J	`jnl`	Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. CoRR Sandesh Ghimire, Aria Masoomi, Jennifer G. Dy
2021	A*	`conf`	Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. NeurIPS Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy
2021	J	`jnl`	Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. CoRR Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy
2021	J	`jnl`	Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net). Medical Image Anal. Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha
2021	—	`conf`	Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. ISBI Veysi Yildiz, Stratis Ioannidis, Ilkay Yildiz, Peng Tian, John Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy
2021	—	`conf`	Structurally Guided Channel Attention Networks: SGCA-Net. PETRA Veysi Yildiz, Jennifer G. Dy, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Stratis Ioannidis, Deniz Erdogmus
2021	J	`jnl`	Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection. CoRR Max Torop, Sandesh Ghimire, WenQian Liu, Dana H. Brooks, Octavia I. Camps, Milind Rajadhyaksha, Jennifer G. Dy, Kivanç Köse
2020	B	`conf`	A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. EDM Yijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley
2020	A*	`conf`	Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion. KDD Yumin Liu, Auroop R. Ganguly, Jennifer G. Dy
2020	A	`conf`	Deep Kernel Learning for Clustering. SDM Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy
2020	J	`jnl`	Deep Learning for RF Fingerprinting: A Massive Experimental Study. IEEE Internet Things Mag. Tong Jian, Bruno Costa Rendon, Emmanuel Ojuba, Nasim Soltani, Zifeng Wang, Kunal Sankhe, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
2020	J	`jnl`	Deep Markov Spatio-Temporal Factorization. CoRR Amirreza Farnoosh, Behnaz Rezaei, Eli Zachary Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent, Sarah Ostadabbas
2020	J	`jnl`	Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery. npj Digit. Medicine Catherine P. Adans-Dester, Nicolas Hankov, Anne T. O'Brien, Gloria Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer G. Dy, Sunghoon Ivan Lee, Paolo Bonato
2020	A*	`conf`	Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting. INFOCOM Amani Al-Shawabka, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Bruno Costa Rendon, Nasim Soltani, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia
2020	A	`conf`	Fast and Accurate Ranking Regression. AISTATS Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2020	A*	`conf`	Instance-wise Feature Grouping. NeurIPS Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter J. Castaldi, Jennifer G. Dy
2020	J	`jnl`	Kernel Dependence Network. CoRR Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy
2020	J	`jnl`	Layer-wise Learning of Kernel Dependence Networks. CoRR Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy
2020	A*	`conf`	Learn-Prune-Share for Lifelong Learning. ICDM Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2020	J	`jnl`	Learn-Prune-Share for Lifelong Learning. CoRR Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2020	B	`conf`	Machine Learning on Camera Images for Fast mmWave Beamforming. MASS Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2020	J	`jnl`	More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting. IEEE Commun. Mag. Nasim Soltani, Kunal Sankhe, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2020	A*	`conf`	Neural Topographic Factor Analysis for fMRI Data. NeurIPS Eli Sennesh, Zulqarnain Khan, Yiyu Wang, J. Benjamin Hutchinson, Ajay B. Satpute, Jennifer G. Dy, Jan-Willem van de Meent
2020	A*	`conf`	Open-World Class Discovery with Kernel Networks. ICDM Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
2020	J	`jnl`	Open-World Class Discovery with Kernel Networks. CoRR Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
2020	J	`jnl`	RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms. IEEE Trans. Veh. Technol. Nasim Soltani, Guillem Reus Muns, Batool Salehi, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2020	J	`jnl`	Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net). CoRR Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha
2020	C	`conf`	Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. ICMLA Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli
2020	J	`jnl`	Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling. CoRR Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek
2019	A*	`conf`	A Severity Score for Retinopathy of Prematurity. KDD Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
2019	J	`jnl`	ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM. J. Mach. Learn. Res. Setareh Ariafar, Jaume Coll-Font, Dana H. Brooks, Jennifer G. Dy
2019	A	`conf`	Accelerated Experimental Design for Pairwise Comparisons. SDM Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2019	J	`jnl`	Accelerated Experimental Design for Pairwise Comparisons. CoRR Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2019	J	`jnl`	Adaptive Nonparametric Variational Autoencoder. CoRR Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
2019	J	`jnl`	Classification and comparison via neural networks. Neural Networks Ilkay Yildiz, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, James M. Brown, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2019	J	`jnl`	Deep Kernel Learning for Clustering. CoRR Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer G. Dy
2019	J	`jnl`	Evaluating Combinatorial Generalization in Variational Autoencoders. CoRR Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
2019	—	`conf`	Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning. DySPAN Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
2019	—	`conf`	Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections. MILCOM Kunal Sankhe, Kaushik R. Chowdhury, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Zifeng Wang, Amani Al-Shawabka, Jennifer G. Dy, Tommaso Melodia, Stratis Ioannidis
2019	J	`jnl`	Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning. IEEE Trans. Medical Imaging Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Xavier Tomas-Fernandez, Sila Kurugol, Simon K. Warfield
2019	J	`jnl`	Iterative Spectral Method for Alternative Clustering. CoRR Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy
2019	—	`conf`	MAC ID Spoofing-Resistant Radio Fingerprinting. GlobalSIP Tong Jian, Bruno Costa Rendon, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
2019	J	`jnl`	Neural Topographic Factor Analysis for fMRI Data. CoRR Eli Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent
2019	A*	`conf`	Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. KDD Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy
2019	J	`jnl`	Solving Interpretable Kernel Dimension Reduction. CoRR Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy
2019	A*	`conf`	Solving Interpretable Kernel Dimensionality Reduction. NeurIPS Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy
2019	J	`jnl`	Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion. CoRR Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy
2019	A	`conf`	Structured Disentangled Representations. AISTATS Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
2019	C	`conf`	Variational Inference from Ranked Samples with Features. ACML Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2018	—	`conf`	A Hybrid Approach to Identifying Key Factors in Environmental Health Studies. IEEE BigData Shi Dong, Zlatan Feric, Xiangyu Li, Sheikh Mokhlesur Rahman, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh
2018	—	`conf`	A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin. MICCAI (2) Alican Bozkurt, Kivanç Köse, Christi Alessi-Fox, Melissa Gill, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha
2018	J	`jnl`	A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images. CoRR Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha
2018	J	`jnl`	A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio. IEEE Trans. Pattern Anal. Mach. Intell. Jamshid Sourati, Murat Akçakaya, Deniz Erdogmus, Todd K. Leen, Jennifer G. Dy
2018	—	`conf`	Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation. DLMIA/ML-CDS@MICCAI Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Sila Kurugol, Simon K. Warfield
2018	J	`jnl`	Can VAEs Generate Novel Examples? CoRR Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
2018	A	`conf`	Crowdclustering with Partition Labels. AISTATS Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian D. Hobbs, Jennifer G. Dy
2018	J	`jnl`	Deep feature transfer between localization and segmentation tasks. CoRR Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown
2018	A*	`conf`	Experimental Design under the Bradley-Terry Model. IJCAI Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis
2018	B	`conf`	Interactive Kernel Dimension Alternative Clustering on GPUs. ASONAM Xiangyu Li, Chieh Wu, Shi Dong, Jennifer G. Dy, David R. Kaeli
2018	A	`conf`	Iterative Spectral Method for Alternative Clustering. AISTATS Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy
2018	A*	`ed.`	Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018 ICML Jennifer G. Dy, Andreas Krause
2018	A*	`conf`	Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. KDD Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
2018	J	`jnl`	Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. CoRR Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
2017	J	`jnl`	A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes. IEEE Trans. Medical Imaging James C. Ross, Peter J. Castaldi, Michael H. Cho, Junxiang Chen, Yale Chang, Jennifer G. Dy, Edwin K. Silverman, George R. Washko, Raúl San José Estépar
2017	J	`jnl`	A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin. IEEE Trans. Image Process. Sindhu Ghanta, Michael I. Jordan, Kivanç Köse, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy
2017	J	`jnl`	A Robust-Equitable Measure for Feature Ranking and Selection. J. Mach. Learn. Res. A. Adam Ding, Jennifer G. Dy, Yi Li, Yale Chang
2017	J	`jnl`	Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning. J. Mach. Learn. Res. Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy
2017	J	`jnl`	Automated Target Detection for Geophysical Applications. IEEE Trans. Geosci. Remote. Sens. Uri Pe'er, Jennifer G. Dy
2017	A	`conf`	Clustering from Multiple Uncertain Experts. AISTATS Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy
2017	A	`conf`	Clustering with Domain-Specific Usefulness Scores. SDM Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy
2017	J	`jnl`	Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention. CoRR Alican Bozkurt, Kivanç Köse, Jaume Coll-Font, Christi Alessi-Fox, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha
2017	—	`conf`	Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks. CVPR Workshops Alican Bozkurt, Trevor Gale, Kivanç Köse, Christi Alessi-Fox, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy
2017	A*	`conf`	Informative Subspace Learning for Counterfactual Inference. AAAI Yale Chang, Jennifer G. Dy
2017	A*	`conf`	Multiple Clustering Views from Multiple Uncertain Experts. ICML Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy
2017	C	`conf`	Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices. ACML Yi Li, Aidong Adam Ding, Jennifer G. Dy
2017	J	`jnl`	Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data. Medical Image Anal. Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix
2016	A	`conf`	A Generative Block-Diagonal Model for Clustering. UAI Junxiang Chen, Jennifer G. Dy
2016	A*	`conf`	A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines. KDD Yijun Zhao, Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Jennifer G. Dy, Carla E. Brodley, Ruben Kuzniecky, Orrin Devinsky
2016	A	`conf`	A Robust-Equitable Copula Dependence Measure for Feature Selection. AISTATS Yale Chang, Yi Li, A. Adam Ding, Jennifer G. Dy
2016	—	`conf`	Assessing subsets of analytes in context of detecting laboratory errors. EMBC Jamshid Sourati, Steven C. Kazmierczak, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus
2016	J	`jnl`	Asymptotic Analysis of Objectives based on Fisher Information in Active Learning. CoRR Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy
2016	J	`jnl`	Classification Active Learning Based on Mutual Information. Entropy Jamshid Sourati, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus
2016	J	`jnl`	Evaluating Crowdsourcing Participants in the Absence of Ground-Truth. CoRR Ramanathan Subramanian, Rómer Rosales, Glenn Fung, Jennifer G. Dy
2016	—	`conf`	Exploring image-based indicators of crime and economic well-being in sub-saharan Africa. AIPR Payden McBee, Jennifer G. Dy, John Irvine
2016	A*	`conf`	Interpretable Clustering via Discriminative Rectangle Mixture Model. ICDM Junxiang Chen, Yale Chang, Brian D. Hobbs, Peter J. Castaldi, Michael H. Cho, Edwin K. Silverman, Jennifer G. Dy
2016	—	`conf`	Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy. MLHC Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniecky, Orrin Devinsky, Jennifer G. Dy, Carla E. Brodley
2016	J	`jnl`	Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy. CoRR Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniecky, Orrin Devinsky, Jennifer G. Dy, Carla E. Brodley
2015	A*	`conf`	A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores. AAAI Sarah Marie Brown, Andrea Webb, Rami Mangoubi, Jennifer G. Dy
2015	A	`conf`	Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. SDM Junxiang Chen, Wei Dai, Yizhou Sun, Jennifer G. Dy
2015	A*	`conf`	Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients. ICDM Yijun Zhao, Tanuja Chitnis, Brian C. Healy, Jennifer G. Dy, Carla E. Brodley
2015	J	`jnl`	MultiClust special issue on discovering, summarizing and using multiple clusterings. Mach. Learn. Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer G. Dy
2015	—	`conf`	Securing virtual execution environments through machine learning-based intrusion detection. MLSP Fatemeh Azmandian, David R. Kaeli, Jennifer G. Dy, Javed A. Aslam
2015	—	`conf`	Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury. MLSP Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix
2014	J	`jnl`	Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints. IEEE Trans. Image Process. Jamshid Sourati, Deniz Erdogmus, Jennifer G. Dy, Dana H. Brooks
2014	—	`conf`	Active learning from uncertain crowd annotations. Allerton Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
2014	—	`conf`	Airway labeling using a Hidden Markov Tree Model. ISBI James C. Ross, Alejandro A. Díaz, Yuka Okajima, Demian Wassermann, George R. Washko, Jennifer G. Dy, Raúl San José Estépar
2014	A*	`conf`	Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease. KDD James C. Ross, Peter J. Castaldi, Michael H. Cho, Jennifer G. Dy
2014	J	`jnl`	Editorial to the Special Issue of Selected Papers of SDM 2013. Stat. Anal. Data Min. Jennifer G. Dy, Zhi-Hua Zhou
2014	J	`jnl`	Harnessing the Power of GPUs to Speed Up Feature Selection for Outlier Detection. J. Comput. Sci. Technol. Fatemeh Azmandian, Ayse Yilmazer, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli
2014	J	`jnl`	Iterative Discovery of Multiple AlternativeClustering Views. IEEE Trans. Pattern Anal. Mach. Intell. Donglin Niu, Jennifer G. Dy, Michael I. Jordan
2014	J	`jnl`	Learning from multiple annotators with varying expertise. Mach. Learn. Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy
2014	—	`conf`	System Call Anomaly Detection Using Multi-HMMs. SERE (Companion) Esra Nergis Yolaçan, Jennifer G. Dy, David R. Kaeli
2013	—	`conf`	Nonparametric Mixture of Gaussian Processes with Constraints. ICML (3) James C. Ross, Jennifer G. Dy
2012	J	`jnl`	A Computational model for compressed sensing RNAi cellular screening. BMC Bioinform. Hua Tan, Jing Fan, Jiguang Bao, Jennifer G. Dy, Xiaobo Zhou
2012	A	`conf`	A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views. AISTATS Donglin Niu, Jennifer G. Dy, Zoubin Ghahramani
2012	J	`jnl`	A quantitative analytic pipeline for evaluating neuronal activities by high-throughput synaptic vesicle imaging. NeuroImage Jing Fan, Xiaofeng Xia, Ying Li, Jennifer G. Dy, Stephen T. C. Wong
2012	A	`conf`	Active Learning from Multiple Knowledge Sources. AISTATS Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy
2012	—	`conf`	Constrained spectral clustering for image segmentation. MLSP Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Deniz Erdogmus
2012	A*	`conf`	Feature Weighting and Selection Using Hypothesis Margin of Boosting. ICDM Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli
2012	A*	`conf`	GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio. ICDM Fatemeh Azmandian, Ayse Yilmazer, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli
2012	C	`conf`	Local Kernel Density Ratio-Based Feature Selection for Outlier Detection. ACML Fatemeh Azmandian, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli
2012	J	`jnl`	Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario CoRR Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
2012	Misc	`conf`	Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin. ICASSP Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Esra Ataer Cansizoglu, Deniz Erdogmus, Milind Rajadhyaksha
2011	B	`conf`	A Novel Feature Selection for Intrusion Detection in Virtual Machine Environments. ICTAI Malak Alshawabkeh, Javed A. Aslam, David R. Kaeli, Jennifer G. Dy
2011	A*	`conf`	A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection. ICML Yue Guan, Jennifer G. Dy, Michael I. Jordan
2011	A*	`conf`	Active Learning from Crowds. ICML Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
2011	—	`conf`	Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images. EMBC Sila Kurugol, Erhan Bas, Deniz Erdogmus, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks
2011	A	`conf`	Dimensionality Reduction for Spectral Clustering. AISTATS Donglin Niu, Jennifer G. Dy, Michael I. Jordan
2011	—	`conf`	Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems. ICMLA (1) Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli
2011	—	`conf`	Longitudinal monitoring of patients with Parkinson's disease via wearable sensor technology in the home setting. EMBC Shyamal Patel, Bor-rong Chen, Chiara Mancinelli, Sabrina Paganoni, Ludy Shih, Matt Welsh, Jennifer G. Dy, Paolo Bonato
2011	—	`conf`	Quantitative synaptic vesicle imaging for evaluating neuron activities in neurodegenerative diseases. ACSCC Jing Fan, Xiaofeng Xia, Jennifer G. Dy, Stephen T. C. Wong
2011	J	`jnl`	Virtual machine monitor-based lightweight intrusion detection. ACM SIGOPS Oper. Syst. Rev. Fatemeh Azmandian, Micha Moffie, Malak Alshawabkeh, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli
2011	B	`conf`	Workload Characterization at the Virtualization Layer. MASCOTS Fatemeh Azmandian, Micha Moffie, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli
2010	—	`conf`	3D level set esophagus segmentation in thoracic CT images using spatial, appearance and shape models. ISBI Sila Kurugol, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks
2010	J	`jnl`	A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology. Proc. IEEE Shyamal Patel, Richard Hughes, Todd Hester, Joel Stein, Metin Akay, Jennifer G. Dy, Paolo Bonato
2010	A	`conf`	Convex Principal Feature Selection. SDM Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy
2010	C	`conf`	Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data. ICMLA Malak Alshawabkeh, Micha Moffie, Fatemeh Azmandian, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli
2010	A*	`conf`	From Transformation-Based Dimensionality Reduction to Feature Selection. ICML Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
2010	J	`jnl`	Learning multiple nonredundant clusterings. ACM Trans. Knowl. Discov. Data Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy
2010	B	`conf`	Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation. ICPR Sila Kurugol, Necmiye Ozay, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks
2010	A*	`conf`	Medical coding classification by leveraging inter-code relationships. KDD Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales
2010	A	`conf`	Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. UAI Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
2010	A	`conf`	Modeling annotator expertise: Learning when everybody knows a bit of something. AISTATS Yan Yan, Rómer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy
2010	J	`jnl`	MultiClust 2010: discovering, summarizing and using multiple clusterings. SIGKDD Explor. Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy
2010	A*	`conf`	Multiple Non-Redundant Spectral Clustering Views. ICML Donglin Niu, Jennifer G. Dy, Michael I. Jordan
2009	J	`jnl`	A fuzzy logics clustering approach to computing human attention allocation using eyegaze movement cue. Int. J. Hum. Comput. Stud. Yingzi Lin, Wen-Jun Zhang, Chieh Wu, G. Yang, Jennifer G. Dy
2009	J	`jnl`	An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models. Neuroinformatics Jing Fan, Xiaobo Zhou, Jennifer G. Dy, Yong Zhang, Stephen T. C. Wong
2009	—	`conf`	Localizing the Dermis/Epidermis Boundary in Reflectance Confocal Microscopy Images with a Hybrid Classification Algorithm. ISBI Sila Kurugol, Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks
2009	J	`jnl`	Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors. IEEE Trans. Inf. Technol. Biomed. Shyamal Patel, Konrad Lorincz, Richard Hughes, Nancy Huggins, John Growdon, David G. Standaert, Metin Akay, Jennifer G. Dy, Matt Welsh, Paolo Bonato
2009	A*	`conf`	Multi-Class Classifiers and their Underlying Shared Structure. IJCAI Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy
2009	A	`conf`	Sparse Probabilistic Principal Component Analysis. AISTATS Yue Guan, Jennifer G. Dy
2009	J	`jnl`	Using Local Dependencies within Batches to Improve Large Margin Classifiers. J. Mach. Learn. Res. Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao
2008	—	`conf`	Detection of the dermis/epidermis boundary in reflectance confocal images using multi-scale classifier with adaptive texture features. ISBI Sila Kurugol, Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks
2008	J	`jnl`	Fast semi-supervised SVM classifiers using Optim. Methods Softw. Volkan Vural, Glenn Fung, Jennifer G. Dy, Bharat Rao
2008	J	`jnl`	Impact of imputation of missing values on classification error for discrete data. Pattern Recognit. Alireza Farhangfar, Lukasz A. Kurgan, Jennifer G. Dy
2008	A*	`conf`	Learning methods for lung tumor markerless gating in image-guided radiotherapy. KDD Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian M. Alexander, Steve B. Jiang
2007	J	`jnl`	In search of deterministic methods for initializing K-means and Gaussian mixture clustering. Intell. Data Anal. Ting Su, Jennifer G. Dy
2007	A*	`conf`	Non-redundant Multi-view Clustering via Orthogonalization. ICDM Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy
2006	—	`conf`	Batch Classification with Applications in Computer Aided Diagnosis. ECML Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao
2005	A*	`conf`	A multinomial clustering model for fast simulation of computer architecture designs. KDD Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R. Kaeli
2005	C	`conf`	Enabling a Real-Time Solution for Neuron Detection with Reconfigurable Hardware. IEEE International Workshop on Rapid System Prototyping Ben Cordes, Jennifer G. Dy, Miriam Leeser, James Goebel
2005	A	`conf`	Enabling a RealTime Solution for Neuron Detection with Reconfigurable Hardware (abstract only). FPGA Ben Cordes, Jennifer G. Dy, Miriam Leeser, James Goebel
2005	J	`jnl`	Evolving Feature Selection. IEEE Intell. Syst. Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris H. Q. Ding, Fuhui Long, Michael E. Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman
2004	B	`conf`	A Deterministic Method for Initializing K-Means Clustering. ICTAI Ting Su, Jennifer G. Dy
2004	A*	`conf`	A hierarchical method for multi-class support vector machines. ICML Volkan Vural, Jennifer G. Dy
2004	A*	`conf`	Automated hierarchical mixtures of probabilistic principal component analyzers. ICML Ting Su, Jennifer G. Dy
2004	J	`jnl`	Feature Selection for Unsupervised Learning. J. Mach. Learn. Res. Jennifer G. Dy, Carla E. Brodley
2003	J	`jnl`	Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images. IEEE Trans. Pattern Anal. Mach. Intell. Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick, Alex M. Aisen
2000	A*	`conf`	Feature Subset Selection and Order Identification for Unsupervised Learning. ICML Jennifer G. Dy, Carla E. Brodley
2000	A*	`conf`	Visualization and interactive feature selection for unsupervised data. KDD Jennifer G. Dy, Carla E. Brodley
1999	—	`conf`	Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision. AAAI/IAAI Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Jennifer G. Dy, Lynn S. Broderick, Alex M. Aisen
1999	—	`conf`	Customized-queries approach to CBIR. Storage and Retrieval for Image and Video Databases (SPIE) Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick
1999	A*	`conf`	The Customized-Queries Approach to CBIR Using EM. CVPR Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick