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Author search results
Exact matches
- Jeff M. Phillips
University of Utah, School of Computing
Likely matches
- Jeffrey Mark Phillips
University of New Brunswick, Saint John, NB, Canada
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Publication search results
found 225 matches
- 2024
- Sepideh Jahandideh, A. F. Hutchinson, Tracey Bucknall, Jeffrey Considine, Adam Driscoll, Elizabeth Manias, N. M. Phillips, B. Rasmussen, N. Vos, Alison M. Hutchinson:
Using machine learning models to predict falls in hospitalised adults. Int. J. Medical Informatics 187: 105436 (2024) - Archit Rathore
, Sunipa Dev
, Jeff M. Phillips
, Vivek Srikumar
, Yan Zheng
, Chin-Chia Michael Yeh
, Junpeng Wang
, Wei Zhang
, Bei Wang
:
VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. ACM Trans. Interact. Intell. Syst. 14(1): 3:1-3:34 (2024) - Tao Yang
, Cuize Han
, Chen Luo
, Parth Gupta
, Jeff M. Phillips
, Qingyao Ai
:
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. WWW 2024: 1486-1496 - Wolfgang Mulzer
, Jeff M. Phillips
:
40th International Symposium on Computational Geometry, SoCG 2024, June 11-14, 2024, Athens, Greece. LIPIcs 293, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2024, ISBN 978-3-95977-316-4 [contents] - Meysam Alishahi, Jeff M. Phillips:
No Dimensional Sampling Coresets for Classification. CoRR abs/2402.05280 (2024) - 2023
- Devin Lange
, Shaurya Sahai
, Jeff M. Phillips
, Alexander Lex
:
Ferret: Reviewing Tabular Datasets for Manipulation. Comput. Graph. Forum 42(3): 187-198 (2023) - Hasan Pourmahmood Aghababa, Jeff M. Phillips:
An experimental study on classifying spatial trajectories. Knowl. Inf. Syst. 65(4): 1587-1609 (2023) - Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro
, Bei Wang, Youjia Zhou:
Experimental Observations of the Topology of Convolutional Neural Network Activations. AAAI 2023: 9470-9479 - Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh:
Sketching Multidimensional Time Series for Fast Discord Mining. IEEE Big Data 2023: 443-452 - Chin-Chia Michael Yeh
, Huiyuan Chen
, Xin Dai
, Yan Zheng
, Junpeng Wang
, Vivian Lai
, Yujie Fan
, Audrey Der
, Zhongfang Zhuang
, Liang Wang
, Wei Zhang
, Jeff M. Phillips
:
An Efficient Content-based Time Series Retrieval System. CIKM 2023: 4909-4915 - Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips:
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. ICLR 2023 - Praful K. Vasireddy
, Alex R. Gogliettino, Jeff B. Brown, Ramandeep S. Vilkhu, Sasidhar Madugula, A. J. Phillips, Subhasish Mitra, Pawel Hottowy, Alexander Sher, Alan M. Litke, Nishal P. Shah, E. J. Chichilnisky:
Efficient Modeling and Calibration of Multi-Electrode Stimuli for Epiretinal Implants. NER 2023: 1-4 - Wei Bai, Shanim Sainul Abdeen, Ankit Agrawal, Krishan Kumar Attre, Paramvir Bahl, Ameya Bhagat, Gowri Bhaskara, Tanya Brokhman, Lei Cao, Ahmad Cheema, Rebecca Chow, Jeff Cohen, Mahmoud Elhaddad, Vivek Ette, Igal Figlin, Daniel Firestone, Mathew George, Ilya German, Lakhmeet Ghai, Eric Green, Albert G. Greenberg, Manish Gupta, Randy Haagens, Matthew Hendel, Ridwan Howlader, Neetha John, Julia Johnstone, Tom Jolly, Greg Kramer, David Kruse, Ankit Kumar, Erica Lan, Ivan Lee, Avi Levy, Marina Lipshteyn, Xin Liu, Chen Liu, Guohan Lu, Yuemin Lu, Xiakun Lu, Vadim Makhervaks, Ulad Malashanka, David A. Maltz, Ilias Marinos, Rohan Mehta, Sharda Murthi, Anup Namdhari, Aaron Ogus, Jitendra Padhye, Madhav Pandya, Douglas Phillips, Adrian Power, Suraj Puri, Shachar Raindel, Jordan Rhee, Anthony Russo, Maneesh Sah, Ali Sheriff, Chris Sparacino, Ashutosh Srivastava, Weixiang Sun, Nick Swanson, Fuhou Tian, Lukasz Tomczyk, Vamsi Vadlamuri, Alec Wolman, Ying Xie, Joyce Yom, Lihua Yuan, Yanzhao Zhang, Brian Zill:
Empowering Azure Storage with RDMA. NSDI 2023: 49-67 - Mary W. Hall
, Ganesh Gopalakrishnan
, Eric Eide
, Johanna Cohoon
, Jeff M. Phillips
, Mu Zhang
, Shireen Y. Elhabian
, Aditya Bhaskara
, Harvey Dam
, Artem Yadrov
, Tushar Kataria
, Amir Mohammad Tavakkoli
, Sameeran Joshi
, Mokshagna Sai Teja Karanam
:
An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report. SC Workshops 2023: 343-349 - Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai:
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. CoRR abs/2305.16606 (2023) - Meysam Alishahi, Anna Little, Jeff M. Phillips:
Linear Distance Metric Learning with Noisy Labels. CoRR abs/2306.03173 (2023) - Jeff M. Phillips, Hasan Pourmahmood Aghababa:
For Kernel Range Spaces a Constant Number of Queries Are Sufficient. CoRR abs/2306.16516 (2023) - Mingxuan Han, Varun Shankar, Jeff M. Phillips, Chenglong Ye:
Locally Adaptive and Differentiable Regression. CoRR abs/2308.07418 (2023) - Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips:
An Efficient Content-based Time Series Retrieval System. CoRR abs/2310.03919 (2023) - Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh:
Sketching Multidimensional Time Series for Fast Discord Mining. CoRR abs/2311.03393 (2023) - Benwei Shi, Aditya Bhaskara, Wai Ming Tai, Jeff M. Phillips:
On Mergable Coresets for Polytope Distance. CoRR abs/2311.05651 (2023) - Siu-Wing Cheng, Maarten Löffler, Jeff M. Phillips, Aleksandr Popov:
Computational Geometry (Dagstuhl Seminar 23221). Dagstuhl Reports 13(5): 165-181 (2023) - Susanne Crewell, Anne Driemel, Jeff M. Phillips, Dwaipayan Chatterjee:
Computational Geometry of Earth System Analysis (Dagstuhl Seminar 23342). Dagstuhl Reports 13(8): 91-105 (2023) - 2022
- Dallas H. Snider, Steven E. Linnville, Jeffrey B. Phillips, G. Merrill Rice:
Predicting hypoxic hypoxia using machine learning and wearable sensors. Biomed. Signal Process. Control. 71(Part): 103110 (2022) - Jiahui Chen
, Joe Breen, Jeff M. Phillips, Jacobus E. van der Merwe:
Practical and configurable network traffic classification using probabilistic machine learning. Clust. Comput. 25(4): 2839-2853 (2022) - Davide Fenucci
, Jeremy Sitbon
, Jeffrey Neasham
, Alexander B. Phillips
, Andrea Munafò
:
Ad hoc Acoustic Network Aided Localization for micro-AUVs. Field Robotics 2(1): 1888-1919 (2022) - Zhao Chang
, Dong Xie
, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian:
Efficient Oblivious Query Processing for Range and kNN Queries. IEEE Trans. Knowl. Data Eng. 34(12): 5741-5754 (2022) - Mingxuan Han, Chenglong Ye, Jeff M. Phillips:
Local Kernel Ridge Regression for Scalable, Interpolating, Continuous Regression. Trans. Mach. Learn. Res. 2022 (2022) - Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips:
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. AMTA 2022: 200-214 - Austin Watkins, Jeff M. Phillips:
Using Existential Theory of the Reals to Bound VC Dimension. CCCG 2022: 314-321
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