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Kevin Miller
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [i12]Gokul Bhusal, Kevin Miller, Ekaterina Merkurjev:
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs. CoRR abs/2409.09475 (2024) - 2023
- [j7]Kevin Miller, Jeff Calder:
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning. SIAM J. Math. Data Sci. 5(4): 1160-1190 (2023) - [c10]Kevin Miller, Kristof Böhmer:
AIS - A Metric for Assessing the Impact of an Influencer's Twitter Activity on the Price of a Cryptocurrency. CoopIS 2023: 41-58 - [c9]Bohan Chen, Kevin Miller, Andrea L. Bertozzi, Jon Schwenk:
Graph-Based Active Learning for Surface Water and Sediment Detection in Multispectral Images. IGARSS 2023: 5431-5434 - [c8]Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward:
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering. NeurIPS 2023 - [i11]James Chapman, Bohan Chen, Zheng Tan, Jeff Calder, Kevin Miller, Andrea L. Bertozzi:
Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets. CoRR abs/2307.10495 (2023) - [i10]Yijun Dong, Kevin Miller, Qi Lei, Rachel A. Ward:
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering. CoRR abs/2307.11030 (2023) - [i9]Kevin Miller, Ryan Murray:
Dirichlet Active Learning. CoRR abs/2311.05501 (2023) - 2022
- [j6]Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang:
Efficient and Reliable Overlay Networks for Decentralized Federated Learning. SIAM J. Appl. Math. 82(4): 1558-1586 (2022) - [i8]Kevin Miller, John Mauro, Jason Setiadi, Xoaquin Baca, Zhan Shi, Jeff Calder, Andrea L. Bertozzi:
Graph-based Active Learning for Semi-supervised Classification of SAR Data. CoRR abs/2204.00005 (2022) - [i7]Kevin Miller, Jeff Calder:
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning. CoRR abs/2210.15786 (2022) - 2021
- [i6]Kevin Miller, Andrea L. Bertozzi:
Model-Change Active Learning in Graph-Based Semi-Supervised Learning. CoRR abs/2110.07739 (2021) - [i5]Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang:
Efficient and Reliable Overlay Networks for Decentralized Federated Learning. CoRR abs/2112.15486 (2021) - 2020
- [i4]Kevin Miller, Hao Li, Andrea L. Bertozzi:
Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations. CoRR abs/2007.11126 (2020) - [i3]Andrea L. Bertozzi, Bamdad Hosseini, Hao Li, Kevin Miller, Andrew M. Stuart:
Posterior Consistency of Semi-Supervised Regression on Graphs. CoRR abs/2007.12809 (2020)
2010 – 2019
- 2019
- [c7]Kevin Miller, Chris Leberknight:
cOOKie, a Tool for Developing RF Communication Systems for the Internet of Things. HICSS 2019: 1-6 - 2017
- [j5]Kevin Miller, Gunjan Mansingh:
OptiPres: a distributed mobile agent decision support system for optimal patient drug prescription. Inf. Syst. Frontiers 19(1): 129-148 (2017) - [c6]Victoria Chayes, Kevin Miller, Rasika Bhalerao, Jiajie Luo, Wei Zhu, Andrea L. Bertozzi, Wenzhi Liao, Stanley J. Osher:
Pre-processing and classification of hyperspectral imagery via selective inpainting. ICASSP 2017: 6195-6199 - [i2]Kevin Miller, Chris Hettinger, Jeffrey Humpherys, Tyler Jarvis, David Kartchner:
Forward Thinking: Building Deep Random Forests. CoRR abs/1705.07366 (2017) - 2016
- [i1]Kevin Miller, Luke W. Hsiao:
TCPTuner: Congestion Control Your Way. CoRR abs/1605.01987 (2016) - 2015
- [j4]Nats Esquejo, Kevin Miller, Kevin Norwood, Ivan Oliveira, Rob Pratt, Ming Zhao:
Statistical and Optimization Techniques for Laundry Portfolio Optimization at Procter & Gamble. Interfaces 45(5): 444-461 (2015) - [j3]Kevin Miller, Gunjan Mansingh:
Comparing the Use of Mobile Intelligent Agents vs Client Server Approach in a Distributed Mobile Health Application. J. Comput. 10(6): 365-373 (2015) - 2013
- [j2]Gerry Nesbitt, Kevin McKenna, Vickie M. Mays, Alan Carpenter, Kevin Miller, Michael Williams:
The Epilepsy Phenome/Genome Project (EPGP) informatics platform. Int. J. Medical Informatics 82(4): 248-259 (2013) - 2012
- [c5]Kevin Miller, M. Pawan Kumar, Benjamin Packer, Danny Goodman, Daphne Koller:
Max-Margin Min-Entropy Models. AISTATS 2012: 779-787 - 2011
- [j1]Kevin Miller, Suresh Sankaranarayanan:
Applications of Policy Based Agents in Wireless Body Sensor Mesh Networks for Patient Health Monitoring. Int. J. E Health Medical Commun. 2(2): 24-45 (2011)
2000 – 2009
- 2009
- [c4]Kevin Miller, Suresh Sankaranarayanan:
Monitoring Patient Health using Policy based Agents in Wireless Body Sensor Mesh Networks. NaBIC 2009: 503-508 - [c3]Kevin Miller, Suresh Sankaranarayanan:
Role of Intelligent Agents and Wireless Body Sensor Mesh Networks in Patient Health Monitoring. NCM 2009: 369-375 - 2004
- [c2]Kevin Miller, Chris Gee, Ryan Inaba, Tansel Özyer, Anthony Chiu Wa Lo, Reda Alhajj:
Synchronization of Mobile XML Databases by Utilizing Deferred Views. IRI 2004: 186-191 - 2003
- [c1]Kevin Miller:
Three Practical Ways to Improve Your Network. LISA 2003
Coauthor Index
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