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ORCIDJennifer G. Dy
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- affiliation: Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
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2020 – today
- 2024
[j49]Batool Salehi
, Utku Demir, Debashri Roy, Suyash Pradhan, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming. IEEE/ACM Trans. Netw. 32(4): 3092-3110 (2024)- [c115]Davin Hill, Aria Masoomi, Max Torop, Sandesh Ghimire, Jennifer G. Dy:
Boundary-Aware Uncertainty for Feature Attribution Explainers. AISTATS 2024: 55-63 - [c114]Zulqarnain Khan, Davin Hill, Aria Masoomi, Joshua T. Bone, Jennifer G. Dy:
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions. AISTATS 2024: 1378-1386 - [e3]Michael J. Wooldridge, Jennifer G. Dy, Sriraam Natarajan:
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 Press 2024 [contents] - [i48]Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer G. Dy:
ADAPT to Robustify Prompt Tuning Vision Transformers. CoRR abs/2403.13196 (2024) - 2023
- [j48]Andrey Gritsenko, Kimia Shayestehfard, Yuan Guo, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis:
Graph transfer learning. Knowl. Inf. Syst. 65(4): 1627-1656 (2023) - [j47]Hongfu Liu, Junxiang Chen, Jennifer G. Dy, Yun Fu:
Transforming Complex Problems Into K-Means Solutions. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9149-9168 (2023) - [c113]Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister:
QueryForm: A Simple Zero-shot Form Entity Query Framework. ACL (Findings) 2023: 4146-4159 - [c112]Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. ICML 2023: 36578-36592 - [c111]Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy:
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. NeurIPS 2023 - [e2]Francisco J. R. Ruiz, Jennifer G. Dy, Jan-Willem van de Meent:
International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain. Proceedings of Machine Learning Research 206, PMLR 2023 [contents] - [i47]Fady Bishara, Ayan Paul, Jennifer G. Dy:
High-precision regressors for particle physics. CoRR abs/2302.00753 (2023) - [i46]Sandesh Ghimire, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy:
Divide and Compose with Score Based Generative Models. CoRR abs/2302.02272 (2023) - [i45]Sandesh Ghimire, Jinyang Liu, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy:
Geometry of Score Based Generative Models. CoRR abs/2302.04411 (2023) - [i44]Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy:
Explanations of Black-Box Models based on Directional Feature Interactions. CoRR abs/2304.07670 (2023) - [i43]Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. CoRR abs/2305.00380 (2023) - [i42]Batool Salehi, Utku Demir, Debashri Roy, Suyash Pradhan, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming. CoRR abs/2305.10350 (2023) - [i41]Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy:
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. CoRR abs/2311.00858 (2023) - 2022
- [j46]Zulqarnain Khan, Yiyu Wang, Eli Sennesh, Jennifer G. Dy, Sarah Ostadabbas, Jan-Willem van de Meent, J. Benjamin Hutchinson, Ajay B. Satpute:
A Computational Neural Model for Mapping Degenerate Neural Architectures. Neuroinformatics 20(4): 965-979 (2022) - [j45]Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy:
Deep Bayesian Unsupervised Lifelong Learning. Neural Networks 149: 95-106 (2022) - [j44]Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
Sample complexity of rank regression using pairwise comparisons. Pattern Recognit. 130: 108688 (2022) - [j43]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Spectral Ranking Regression. ACM Trans. Knowl. Discov. Data 16(6): 120:1-120:38 (2022) - [j42]Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis:
Radio Frequency Fingerprinting on the Edge. IEEE Trans. Mob. Comput. 21(11): 4078-4093 (2022) - [j41]Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. IEEE Trans. Veh. Technol. 71(7): 7639-7655 (2022) - [c110]Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy:
Deep Layer-wise Networks Have Closed-Form Weights. AISTATS 2022: 188-225 - [c109]Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
Learning to Prompt for Continual Learning. CVPR 2022: 139-149 - [c108]Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. ECCV (26) 2022: 631-648 - [c107]Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Pruning Adversarially Robust Neural Networks without Adversarial Examples. ICDM 2022: 993-998 - [c106]Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy:
Explanations of Black-Box Models based on Directional Feature Interactions. ICLR 2022 - [c105]Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
SparCL: Sparse Continual Learning on the Edge. NeurIPS 2022 - [i40]Yumin Liu, Kate Duffy, Jennifer G. Dy, Auroop R. Ganguly:
Explainable deep learning for insights in El Nino and river flows. CoRR abs/2201.02596 (2022) - [i39]Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. CoRR abs/2201.04712 (2022) - [i38]Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR abs/2204.04799 (2022) - [i37]Zulqarnain Khan, Aria Masoomi, Davin Hill, Jennifer G. Dy:
Analyzing the Effects of Classifier Lipschitzness on Explainers. CoRR abs/2206.12481 (2022) - [i36]Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
SparCL: Sparse Continual Learning on the Edge. CoRR abs/2209.09476 (2022) - [i35]Davin Hill, Aria Masoomi, Sandesh Ghimire, Max Torop, Jennifer G. Dy:
Explanation Uncertainty with Decision Boundary Awareness. CoRR abs/2210.02419 (2022) - [i34]Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Pruning Adversarially Robust Neural Networks without Adversarial Examples. CoRR abs/2210.04311 (2022) - [i33]Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister:
QueryForm: A Simple Zero-shot Form Entity Query Framework. CoRR abs/2211.07730 (2022) - [i32]Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Mario Sznaier, Octavia I. Camps, Jennifer G. Dy:
SAIF: Sparse Adversarial and Interpretable Attack Framework. CoRR abs/2212.07495 (2022) - 2021
- [j40]Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net). Medical Image Anal. 67: 101841 (2021) - [j39]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:
Improved prediction of smoking status via isoform-aware RNA-seq deep learning models. PLoS Comput. Biol. 17(10) (2021) - [j38]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:
Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors. IEEE Trans. Biomed. Eng. 68(6): 1871-1881 (2021) - [c104]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Deep Spectral Ranking. AISTATS 2021: 361-369 - [c103]Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Rate-Regularization and Generalization in Variational Autoencoders. AISTATS 2021: 3880-3888 - [c102]Setareh Ariafar, Zelda Mariet, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek:
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling. AISTATS 2021: 3961-3969 - [c101]Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis:
Graph Transfer Learning. ICDM 2021: 141-150 - [c100]Veysi Yildiz, Stratis Ioannidis, Ilkay Yildiz, Peng Tian, John Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy:
Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. ISBI 2021: 353-357 - [c99]Guillem Reus Muns, Batool Salehi, Debashri Roy, Tong Jian, Zifeng Wang, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Deep Learning on Visual and Location Data for V2I mmWave Beamforming. MSN 2021: 559-566 - [c98]Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy:
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. NeurIPS 2021: 586-597 - [c97]Sandesh Ghimire, Aria Masoomi, Jennifer G. Dy:
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. NeurIPS 2021: 10221-10233 - [c96]Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. PETRA 2021: 33-36 - [c95]Veysi Yildiz, Jennifer G. Dy, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Stratis Ioannidis, Deniz Erdogmus:
Structurally Guided Channel Attention Networks: SGCA-Net. PETRA 2021: 93-96 - [i31]Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Machine Learning on Camera Images for Fast mmWave Beamforming. CoRR abs/2102.07337 (2021) - [i30]Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
On the Sample Complexity of Rank Regression from Pairwise Comparisons. CoRR abs/2105.01463 (2021) - [i29]Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy:
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. CoRR abs/2106.02734 (2021) - [i28]Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy:
Deep Bayesian Unsupervised Lifelong Learning. CoRR abs/2106.07035 (2021) - [i27]Sandesh Ghimire, Aria Masoomi, Jennifer G. Dy:
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. CoRR abs/2109.14688 (2021) - [i26]Max Torop, Sandesh Ghimire, WenQian Liu, Dana H. Brooks, Octavia I. Camps, Milind Rajadhyaksha, Jennifer G. Dy, Kivanç Köse:
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection. CoRR abs/2111.04807 (2021) - [i25]Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
Learning to Prompt for Continual Learning. CoRR abs/2112.08654 (2021) - 2020
- [j37]Nasim Soltani, Kunal Sankhe, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting. IEEE Commun. Mag. 58(10): 66-72 (2020) - [j36]Tong Jian, Bruno Costa Rendon, Emmanuel Ojuba, Nasim Soltani, Zifeng Wang, Kunal Sankhe, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis:
Deep Learning for RF Fingerprinting: A Massive Experimental Study. IEEE Internet Things Mag. 3(1): 50-57 (2020) - [j35]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:
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery. npj Digit. Medicine 3 (2020) - [j34]Nasim Soltani, Guillem Reus Muns, Batool Salehi, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms. IEEE Trans. Veh. Technol. 69(12): 15518-15531 (2020) - [c94]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Fast and Accurate Ranking Regression. AISTATS 2020: 77-88 - [c93]Yijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley:
A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. EDM 2020 - [c92]Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy:
Open-World Class Discovery with Kernel Networks. ICDM 2020: 631-640 - [c91]Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Learn-Prune-Share for Lifelong Learning. ICDM 2020: 641-650 - [c90]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:
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. ICMLA 2020: 759-764 - [c89]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:
Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting. INFOCOM 2020: 646-655 - [c88]Yumin Liu, Auroop R. Ganguly, Jennifer G. Dy:
Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion. KDD 2020: 3145-3153 - [c87]Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Machine Learning on Camera Images for Fast mmWave Beamforming. MASS 2020: 338-346 - [c86]Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter J. Castaldi, Jennifer G. Dy:
Instance-wise Feature Grouping. NeurIPS 2020 - [c85]Eli Sennesh, Zulqarnain Khan, Yiyu Wang, J. Benjamin Hutchinson, Ajay B. Satpute, Jennifer G. Dy, Jan-Willem van de Meent:
Neural Topographic Factor Analysis for fMRI Data. NeurIPS 2020 - [c84]Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy:
Deep Kernel Learning for Clustering. SDM 2020: 640-648 - [i24]Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net). CoRR abs/2001.01005 (2020) - [i23]Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek:
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling. CoRR abs/2002.09927 (2020) - [i22]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:
Deep Markov Spatio-Temporal Factorization. CoRR abs/2003.09779 (2020) - [i21]Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy:
Layer-wise Learning of Kernel Dependence Networks. CoRR abs/2006.08539 (2020) - [i20]Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy:
Kernel Dependence Network. CoRR abs/2011.03320 (2020) - [i19]Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Learn-Prune-Share for Lifelong Learning. CoRR abs/2012.06956 (2020) - [i18]Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy:
Open-World Class Discovery with Kernel Networks. CoRR abs/2012.06957 (2020)
2010 – 2019
- 2019
- [j33]Setareh Ariafar, Jaume Coll-Font, Dana H. Brooks, Jennifer G. Dy:
ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM. J. Mach. Learn. Res. 20: 123:1-123:26 (2019) - [j32]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:
Classification and comparison via neural networks. Neural Networks 118: 65-80 (2019) - [j31]Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Xavier Tomas-Fernandez, Sila Kurugol, Simon K. Warfield:
Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning. IEEE Trans. Medical Imaging 38(11): 2642-2653 (2019) - [c83]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Variational Inference from Ranked Samples with Features. ACML 2019: 599-614 - [c82]Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Structured Disentangled Representations. AISTATS 2019: 2525-2534 - [c81]Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis:
Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning. DySPAN 2019: 1-10 - [c80]Tong Jian, Bruno Costa Rendon, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis:
MAC ID Spoofing-Resistant Radio Fingerprinting. GlobalSIP 2019: 1-5 - [c79]Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
A Severity Score for Retinopathy of Prematurity. KDD 2019: 1809-1819 - [c78]Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy:
Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. KDD 2019: 2556-2564 - [c77]Kunal Sankhe, Kaushik R. Chowdhury, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Zifeng Wang, Amani Al-Shawabka, Jennifer G. Dy, Tommaso Melodia, Stratis Ioannidis:
Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections. MILCOM 2019: 598-603 - [c76]Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy:
Solving Interpretable Kernel Dimensionality Reduction. NeurIPS 2019: 7913-7923 - [c75]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. SDM 2019: 432-440 - [i17]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. CoRR abs/1901.06080 (2019) - [i16]Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy:
Adaptive Nonparametric Variational Autoencoder. CoRR abs/1906.03288 (2019) - [i15]Eli Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent:
Neural Topographic Factor Analysis for fMRI Data. CoRR abs/1906.08901 (2019) - [i14]Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer G. Dy:
Deep Kernel Learning for Clustering. CoRR abs/1908.03515 (2019) - [i13]Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy:
Solving Interpretable Kernel Dimension Reduction. CoRR abs/1909.03093 (2019) - [i12]Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy:
Iterative Spectral Method for Alternative Clustering. CoRR abs/1909.03441 (2019) - [i11]Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy:
Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion. CoRR abs/1909.05097 (2019) - [i10]Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Evaluating Combinatorial Generalization in Variational Autoencoders. CoRR abs/1911.04594 (2019) - 2018
- [j30]Jamshid Sourati, Murat Akçakaya, Deniz Erdogmus, Todd K. Leen, Jennifer G. Dy:
A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 2023-2029 (2018) - [c74]Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy:
Iterative Spectral Method for Alternative Clustering. AISTATS 2018: 115-123 - [c73]Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian Hobbs, Jennifer G. Dy:
Crowdclustering with Partition Labels. AISTATS 2018: 1127-1136 - [c72]Xiangyu Li, Chieh Wu, Shi Dong, Jennifer G. Dy, David R. Kaeli:
Interactive Kernel Dimension Alternative Clustering on GPUs. ASONAM 2018: 885-892 - [c71]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:
A Hybrid Approach to Identifying Key Factors in Environmental Health Studies. IEEE BigData 2018: 2855-2862 - [c70]Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis:
Experimental Design under the Bradley-Terry Model. IJCAI 2018: 2198-2204 - [c69]Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly:
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. KDD 2018: 2377-2386 - [c68]Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Sila Kurugol, Simon K. Warfield:
Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation. DLMIA/ML-CDS@MICCAI 2018: 83-91 - [c67]Alican Bozkurt, Kivanç Köse, Christi Alessi-Fox, Melissa Gill, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin. MICCAI (2) 2018: 292-299 - [e1]Jennifer G. Dy, Andreas Krause:
Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018. Proceedings of Machine Learning Research 80, PMLR 2018 [contents] - [i9]Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha:
A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images. CoRR abs/1802.02213 (2018) - [i8]Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly:
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. CoRR abs/1802.04742 (2018) - [i7]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:
Deep feature transfer between localization and segmentation tasks. CoRR abs/1811.02539 (2018) - [i6]Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Can VAEs Generate Novel Examples? CoRR abs/1812.09624 (2018) - 2017
- [j29]Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy:
Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning. J. Mach. Learn. Res. 18: 34:1-34:41 (2017) - [j28]A. Adam Ding, Jennifer G. Dy, Yi Li, Yale Chang:
A Robust-Equitable Measure for Feature Ranking and Selection. J. Mach. Learn. Res. 18: 71:1-71:46 (2017) - [j27]Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix:
Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data. Medical Image Anal. 37: 56-65 (2017) - [j26]Uri Pe'er, Jennifer G. Dy:
Automated Target Detection for Geophysical Applications. IEEE Trans. Geosci. Remote. Sens. 55(3): 1563-1572 (2017) - [j25]Sindhu Ghanta, Michael I. Jordan, Kivanç Köse, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy:
A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin. IEEE Trans. Image Process. 26(1): 172-184 (2017) - [j24]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:
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes. IEEE Trans. Medical Imaging 36(1): 343-354 (2017) - [c66]Yale Chang, Jennifer G. Dy:
Informative Subspace Learning for Counterfactual Inference. AAAI 2017: 1770-1776 - [c65]Yi Li, Aidong Adam Ding, Jennifer G. Dy:
Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices. ACML 2017: 208-223 - [c64]Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy:
Clustering from Multiple Uncertain Experts. AISTATS 2017: 28-36 - [c63]Alican Bozkurt, Trevor Gale, Kivanç Köse, Christi Alessi-Fox, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy:
Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks. CVPR Workshops 2017: 777-785 - [c62]Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy:
Multiple Clustering Views from Multiple Uncertain Experts. ICML 2017: 674-683 - [c61]Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy:
Clustering with Domain-Specific Usefulness Scores. SDM 2017: 207-215 - [i5]Alican Bozkurt, Kivanç Köse, Jaume Coll-Font, Christi Alessi-Fox, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha:
Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention. CoRR abs/1712.00192 (2017) - 2016
- [j23]Jamshid Sourati, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus:
Classification Active Learning Based on Mutual Information. Entropy 18(2): 51 (2016) - [c60]Payden Mcbee, Jennifer G. Dy, John Irvine:
Exploring image-based indicators of crime and economic well-being in sub-saharan Africa. AIPR 2016: 1-9 - [c59]Yale Chang, Yi Li, A. Adam Ding, Jennifer G. Dy:
A Robust-Equitable Copula Dependence Measure for Feature Selection. AISTATS 2016: 84-92 - [c58]Jamshid Sourati, Steven C. Kazmierczak, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus:
Assessing subsets of analytes in context of detecting laboratory errors. EMBC 2016: 5793-5796 - [c57]Junxiang Chen, Yale Chang, Brian Hobbs, Peter J. Castaldi, Michael H. Cho, Edwin K. Silverman, Jennifer G. Dy:
Interpretable Clustering via Discriminative Rectangle Mixture Model. ICDM 2016: 823-828 - [c56]Yijun Zhao, Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Jennifer G. Dy, Carla E. Brodley, Ruben Kuzniecky, Orrin Devinsky:
A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines. KDD 2016: 373-382 - [c55]Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniecky, Orrin Devinsky, Jennifer G. Dy, Carla E. Brodley:
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy. MLHC 2016: 115-133 - [c54]Junxiang Chen, Jennifer G. Dy:
A Generative Block-Diagonal Model for Clustering. UAI 2016 - [i4]Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy:
Asymptotic Analysis of Objectives based on Fisher Information in Active Learning. CoRR abs/1605.08798 (2016) - [i3]Ramanathan Subramanian, Rómer Rosales, Glenn Fung, Jennifer G. Dy:
Evaluating Crowdsourcing Participants in the Absence of Ground-Truth. CoRR abs/1605.09432 (2016) - [i2]Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniecky, Orrin Devinsky, Jennifer G. Dy, Carla E. Brodley:
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy. CoRR abs/1608.00148 (2016) - 2015
- [j22]Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer G. Dy:
MultiClust special issue on discovering, summarizing and using multiple clusterings. Mach. Learn. 98(1-2): 1-5 (2015) - [c53]Sarah Marie Brown, Andrea Webb, Rami Mangoubi, Jennifer G. Dy:
A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores. AAAI 2015: 1700-1706 - [c52]Yijun Zhao, Tanuja Chitnis, Brian C. Healy, Jennifer G. Dy, Carla E. Brodley:
Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients. ICDM 2015: 1129-1134 - [c51]Fatemeh Azmandian, David R. Kaeli, Jennifer G. Dy, Javed A. Aslam:
Securing virtual execution environments through machine learning-based intrusion detection. MLSP 2015: 1-6 - [c50]Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix:
Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury. MLSP 2015: 1-6 - [c49]Junxiang Chen, Wei Dai, Yizhou Sun, Jennifer G. Dy:
Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. SDM 2015: 424-432 - 2014
- [j21]Fatemeh Azmandian, Ayse Yilmazer, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
Harnessing the Power of GPUs to Speed Up Feature Selection for Outlier Detection. J. Comput. Sci. Technol. 29(3): 408-422 (2014) - [j20]Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy:
Learning from multiple annotators with varying expertise. Mach. Learn. 95(3): 291-327 (2014) - [j19]Donglin Niu, Jennifer G. Dy, Michael I. Jordan:
Iterative Discovery of Multiple AlternativeClustering Views. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1340-1353 (2014) - [j18]Jennifer G. Dy, Zhi-Hua Zhou:
Editorial to the Special Issue of Selected Papers of SDM 2013. Stat. Anal. Data Min. 7(4): 227-228 (2014) - [j17]Jamshid Sourati, Deniz Erdogmus, Jennifer G. Dy, Dana H. Brooks:
Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints. IEEE Trans. Image Process. 23(7): 3057-3070 (2014) - [c48]Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy:
Active learning from uncertain crowd annotations. Allerton 2014: 385-392 - [c47]James C. Ross, Alejandro A. Díaz, Yuka Okajima, Demian Wassermann, George R. Washko, Jennifer G. Dy, Raúl San José Estépar:
Airway labeling using a Hidden Markov Tree Model. ISBI 2014: 554-558 - [c46]James C. Ross, Peter J. Castaldi, Michael H. Cho, Jennifer G. Dy:
Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease. KDD 2014: 155-162 - [c45]Esra N. Yolacan, Jennifer G. Dy, David R. Kaeli:
System Call Anomaly Detection Using Multi-HMMs. SERE (Companion) 2014: 25-30 - 2013
- [c44]James C. Ross, Jennifer G. Dy:
Nonparametric Mixture of Gaussian Processes with Constraints. ICML (3) 2013: 1346-1354 - 2012
- [j16]Hua Tan, Jing Fan, Jiguang Bao, Jennifer G. Dy, Xiaobo Zhou:
A Computational model for compressed sensing RNAi cellular screening. BMC Bioinform. 13: 337 (2012) - [j15]Jing Fan, Xiaofeng Xia, Ying Li, Jennifer G. Dy, Stephen T. C. Wong:
A quantitative analytic pipeline for evaluating neuronal activities by high-throughput synaptic vesicle imaging. NeuroImage 62(3): 2040-2054 (2012) - [c43]Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Esra Ataer Cansizoglu, Deniz Erdogmus, Milind Rajadhyaksha:
Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin. ICASSP 2012: 705-708 - [c42]Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli:
Feature Weighting and Selection Using Hypothesis Margin of Boosting. ICDM 2012: 41-50 - [c41]Fatemeh Azmandian, Ayse Yilmazer, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio. ICDM 2012: 51-60 - [c40]Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Deniz Erdogmus:
Constrained spectral clustering for image segmentation. MLSP 2012: 1-6 - [c39]Fatemeh Azmandian, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
Local Kernel Density Ratio-Based Feature Selection for Outlier Detection. ACML 2012: 49-64 - [c38]Donglin Niu, Jennifer G. Dy, Zoubin Ghahramani:
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views. AISTATS 2012: 814-822 - [c37]Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy:
Active Learning from Multiple Knowledge Sources. AISTATS 2012: 1350-1357 - [i1]Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy:
Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. CoRR abs/1203.3529 (2012) - 2011
- [j14]Fatemeh Azmandian, Micha Moffie, Malak Alshawabkeh, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
Virtual machine monitor-based lightweight intrusion detection. ACM SIGOPS Oper. Syst. Rev. 45(2): 38-53 (2011) - [c36]Jing Fan, Xiaofeng Xia, Jennifer G. Dy, Stephen T. C. Wong:
Quantitative synaptic vesicle imaging for evaluating neuron activities in neurodegenerative diseases. ACSCC 2011: 421-425 - [c35]Shyamal Patel, Bor-rong Chen, Chiara Mancinelli, Sabrina Paganoni, Ludy Shih, Matt Welsh, Jennifer G. Dy, Paolo Bonato:
Longitudinal monitoring of patients with Parkinson's disease via wearable sensor technology in the home setting. EMBC 2011: 1552-1555 - [c34]Sila Kurugol, Erhan Bas, Deniz Erdogmus, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks:
Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images. EMBC 2011: 3403-3406 - [c33]Yue Guan, Jennifer G. Dy, Michael I. Jordan:
A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection. ICML 2011: 1073-1080 - [c32]Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy:
Active Learning from Crowds. ICML 2011: 1161-1168 - [c31]Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli:
Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems. ICMLA (1) 2011: 145-150 - [c30]Malak Alshawabkeh, Javed A. Aslam, David R. Kaeli, Jennifer G. Dy:
A Novel Feature Selection for Intrusion Detection in Virtual Machine Environments. ICTAI 2011: 879-881 - [c29]Fatemeh Azmandian, Micha Moffie, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
Workload Characterization at the Virtualization Layer. MASCOTS 2011: 63-72 - [c28]Donglin Niu, Jennifer G. Dy, Michael I. Jordan:
Dimensionality Reduction for Spectral Clustering. AISTATS 2011: 552-560 - 2010
- [j13]Shyamal Patel, Richard Hughes, Todd Hester, Joel Stein, Metin Akay, Jennifer G. Dy, Paolo Bonato:
A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology. Proc. IEEE 98(3): 450-461 (2010) - [j12]Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy:
MultiClust 2010: discovering, summarizing and using multiple clusterings. SIGKDD Explor. 12(2): 47-49 (2010) - [j11]Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy:
Learning multiple nonredundant clusterings. ACM Trans. Knowl. Discov. Data 4(3): 15:1-15:32 (2010) - [c27]Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy:
From Transformation-Based Dimensionality Reduction to Feature Selection. ICML 2010: 751-758 - [c26]Donglin Niu, Jennifer G. Dy, Michael I. Jordan:
Multiple Non-Redundant Spectral Clustering Views. ICML 2010: 831-838 - [c25]Malak Alshawabkeh, Micha Moffie, Fatemeh Azmandian, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli:
Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data. ICMLA 2010: 823-827 - [c24]Sila Kurugol, Necmiye Ozay, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks:
Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation. ICPR 2010: 3955-3958 - [c23]Sila Kurugol, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks:
3D level set esophagus segmentation in thoracic CT images using spatial, appearance and shape models. ISBI 2010: 444-447 - [c22]Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales:
Medical coding classification by leveraging inter-code relationships. KDD 2010: 193-202 - [c21]Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy:
Convex Principal Feature Selection. SDM 2010: 619-628 - [c20]Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy:
Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. UAI 2010: 674-682 - [c19]Yan Yan, Rómer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy:
Modeling annotator expertise: Learning when everybody knows a bit of something. AISTATS 2010: 932-939
2000 – 2009
- 2009
- [j10]Yingzi Lin, Wen-Jun Zhang, Chieh Wu, G. Yang, Jennifer G. Dy:
A fuzzy logics clustering approach to computing human attention allocation using eyegaze movement cue. Int. J. Hum. Comput. Stud. 67(5): 455-463 (2009) - [j9]Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao:
Using Local Dependencies within Batches to Improve Large Margin Classifiers. J. Mach. Learn. Res. 10: 183-206 (2009) - [j8]Jing Fan, Xiaobo Zhou, Jennifer G. Dy, Yong Zhang, Stephen T. C. Wong:
An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models. Neuroinformatics 7(2): 113-130 (2009) - [j7]Shyamal Patel, Konrad Lorincz, Richard Hughes, Nancy Huggins, John Growdon, David G. Standaert, Metin Akay, Jennifer G. Dy, Matt Welsh, Paolo Bonato:
Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors. IEEE Trans. Inf. Technol. Biomed. 13(6): 864-873 (2009) - [c18]Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy:
Multi-Class Classifiers and their Underlying Shared Structure. IJCAI 2009: 1267-1272 - [c17]Sila Kurugol, Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks:
Localizing the Dermis/Epidermis Boundary in Reflectance Confocal Microscopy Images with a Hybrid Classification Algorithm. ISBI 2009: 1322-1325 - [c16]Yue Guan, Jennifer G. Dy:
Sparse Probabilistic Principal Component Analysis. AISTATS 2009: 185-192 - 2008
- [j6]Volkan Vural, Glenn Fung, Jennifer G. Dy, Bharat Rao:
Fast semi-supervised SVM classifiers using a priori metric information. Optim. Methods Softw. 23(4): 521-532 (2008) - [j5]Alireza Farhangfar, Lukasz A. Kurgan, Jennifer G. Dy:
Impact of imputation of missing values on classification error for discrete data. Pattern Recognit. 41(12): 3692-3705 (2008) - [c15]Sila Kurugol, Jennifer G. Dy, Milind Rajadhyaksha, Dana H. Brooks:
Detection of the dermis/epidermis boundary in reflectance confocal images using multi-scale classifier with adaptive texture features. ISBI 2008: 492-495 - [c14]Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian M. Alexander, Steve B. Jiang:
Learning methods for lung tumor markerless gating in image-guided radiotherapy. KDD 2008: 902-910 - 2007
- [j4]Ting Su, Jennifer G. Dy:
In search of deterministic methods for initializing K-means and Gaussian mixture clustering. Intell. Data Anal. 11(4): 319-338 (2007) - [c13]Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy:
Non-redundant Multi-view Clustering via Orthogonalization. ICDM 2007: 133-142 - 2006
- [c12]Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao:
Batch Classification with Applications in Computer Aided Diagnosis. ECML 2006: 449-460 - 2005
- [j3]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:
Evolving Feature Selection. IEEE Intell. Syst. 20(6): 64-76 (2005) - [c11]Ben Cordes, Jennifer G. Dy, Miriam Leeser, James Goebel:
Enabling a RealTime Solution for Neuron Detection with Reconfigurable Hardware (abstract only). FPGA 2005: 264 - [c10]Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R. Kaeli:
A multinomial clustering model for fast simulation of computer architecture designs. KDD 2005: 808-813 - [c9]Ben Cordes, Jennifer G. Dy, Miriam Leeser, James Goebel:
Enabling a Real-Time Solution for Neuron Detection with Reconfigurable Hardware. IEEE International Workshop on Rapid System Prototyping 2005: 128-134 - 2004
- [j2]Jennifer G. Dy, Carla E. Brodley:
Feature Selection for Unsupervised Learning. J. Mach. Learn. Res. 5: 845-889 (2004) - [c8]Ting Su, Jennifer G. Dy:
Automated hierarchical mixtures of probabilistic principal component analyzers. ICML 2004 - [c7]Volkan Vural, Jennifer G. Dy:
A hierarchical method for multi-class support vector machines. ICML 2004 - [c6]Ting Su, Jennifer G. Dy:
A Deterministic Method for Initializing K-Means Clustering. ICTAI 2004: 784-786 - 2003
- [j1]Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick, Alex M. Aisen:
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images. IEEE Trans. Pattern Anal. Mach. Intell. 25(3): 373-378 (2003) - 2000
- [c5]Jennifer G. Dy, Carla E. Brodley:
Feature Subset Selection and Order Identification for Unsupervised Learning. ICML 2000: 247-254 - [c4]Jennifer G. Dy, Carla E. Brodley:
Visualization and interactive feature selection for unsupervised data. KDD 2000: 360-364
1990 – 1999
- 1999
- [c3]Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Jennifer G. Dy, Lynn S. Broderick, Alex M. Aisen:
Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision. AAAI/IAAI 1999: 760-767 - [c2]Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick:
The Customized-Queries Approach to CBIR Using EM. CVPR 1999: 2400-2406 - [c1]Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick:
Customized-queries approach to CBIR. Storage and Retrieval for Image and Video Databases (SPIE) 1999: 22-32
Coauthor Index
J. Peter Campbell
aka: John Peter Campbell
aka: John Peter Campbell
[j49] [j48] [c112] [c111] [i44] [i43] [i42] [i41] [j44] [j43] [j42] [j41] [c107] [c106] [c105] [i39] [i36] [i34] [c104] [c101] [c100] [c99] [c98] [c96] [c95] [i31] [i30] [i29] [j37] [j36] [j34] [c94] [c92] [c91] [c89] [c87] [c84] [i19] [i18] [j32] [c83] [c81] [c80] [c79] [c77] [c75] [i17] [i14] [i12] [c74] [c70] [i7]
Chieh Wu
aka: Chieh Tzu Wu
aka: Chieh Tzu Wu
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