Michael Mayo

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All published works

Action	Title	Year	Authors
+	Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients	2023	Victoria Huang Shaleeza Sohail Michael Mayo Tania Lorido Botrán Mark Rodrigues Chris Anderson Melanie Po‐Leen Ooi
+	Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance	2023	Mackenzie J. Meni Ryan T. White Michael Mayo Kevin R. Pilkiewicz
+ PDF Chat	Cross-domain Few-shot Meta-learning Using Stacking	2022	Hongyu Wang Eibe Frank Bernhard Pfahringer Michael Mayo Geoffrey Holmes
+	Feature Extractor Stacking for Cross-domain Few-shot Learning	2022	Hongyu Wang Eibe Frank Bernhard Pfahringer Michael Mayo Geoffrey Holmes
+ PDF Chat	A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric?	2020	Vithya Yogarajan Bernhard Pfahringer Michael Mayo
+	A survey of automatic de-identification of longitudinal clinical narratives.	2018	Vithya Yogarajan Michael Mayo Bernhard Pfahringer
+	Using Swarm Optimization To Enhance Autoencoders Images	2018	Maisa Doaud Michael Mayo
+	A survey of automatic de-identification of longitudinal clinical narratives	2018	Vithya Yogarajan Michael Mayo Bernhard Pfahringer
+	Using Swarm Optimization To Enhance Autoencoders Images	2018	Maisa Doaud Michael Mayo
+	Improving Naive Bayes for Regression with Optimised Artificial Surrogate Data	2017	Michael Mayo Eibe Frank

Common Coauthors

Coauthor	Papers Together
Bernhard Pfahringer	5
Vithya Yogarajan	3
Eibe Frank	3
Maisa Doaud	2
Hongyu Wang	2
Geoffrey Holmes	2
Melanie Po‐Leen Ooi	1
Mackenzie J. Meni	1
Tania Lorido Botrán	1
Chris Anderson	1
Shaleeza Sohail	1
Victoria Huang	1
Kevin R. Pilkiewicz	1
Mark Rodrigues	1
Ryan T. White	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	NeuroNER: an easy-to-use program for named-entity recognition based on neural networks	2017	Franck Dernoncourt Ji Young Lee Peter Szolovits	2
+	Transfer Learning for Named-Entity Recognition with Neural Networks	2017	Ji Young Lee Franck Dernoncourt Peter Szolovits	2
+	A survey of automatic de-identification of longitudinal clinical narratives.	2018	Vithya Yogarajan Michael Mayo Bernhard Pfahringer	1
+	Split learning for health: Distributed deep learning without sharing raw patient data	2018	Praneeth Vepakomma Otkrist Gupta Tristan Swedish Ramesh Raskar	1
+ PDF Chat	Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning	2019	Milad Nasr Reza Shokri Amir Houmansadr	1
+	NeuroNER: an easy-to-use program for named-entity recognition based on neural networks	2017	Franck Dernoncourt Ji Young Lee Peter Szolovits	1
+ PDF Chat	De-identification of medical records using conditional random fields and long short-term memory networks	2017	Zhipeng Jiang Chao Zhao Bin He Yi Guan Jingchi Jiang	1
+	De-identification of patient notes with recurrent neural networks	2016	Franck Dernoncourt Ji Young Lee Özlem Uzuner Peter Szolovits	1
+ PDF Chat	Inverting Visual Representations with Convolutional Networks	2016	Alexey Dosovitskiy Thomas Brox	1
+	Feature-Augmented Neural Networks for Patient Note De-identification	2016	Ji Young Lee Franck Dernoncourt Özlem Uzuner Peter Szolovits	1
+ PDF Chat	Reliable Federated Learning for Mobile Networks	2020	Jiawen Kang Zehui Xiong Dusit Niyato Yuze Zou Yang Zhang Mohsen Guizani	1
+ PDF Chat	Federated Learning in Mobile Edge Networks: A Comprehensive Survey	2020	Wei Yang Bryan Lim Nguyen Cong Luong Dinh Thai Hoang Yutao Jiao Ying‐Chang Liang Qiang Yang Dusit Niyato Chunyan Miao	1
+	funcX: A Federated Function Serving Fabric for Science	2020	Ryan Chard Yadu Babuji Zhuozhao Li Tyler J. Skluzacek Anna Woodard Ben Blaiszik Ian Foster Kyle Chard	1
+	Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification	2020	B Shashidhara Darshan Mehta Yash Kale Dan Morris Megan Hazen	1
+ PDF Chat	A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective	2020	Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu	1
+ PDF Chat	Client-Edge-Cloud Hierarchical Federated Learning	2020	Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief	1
+ PDF Chat	A deep active learning system for species identification and counting in camera trap images	2020	Mohammad Sadegh Norouzzadeh Dan Morris Sara Beery Neel Joshi Nebojša Jojić Jeff Clune	1
+	Energy Efficient Federated Learning Over Wireless Communication Networks	2020	Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong Mohammad Shikh‐Bahaei	1
+ PDF Chat	Toward Understanding the Influence of Individual Clients in Federated Learning	2021	Yihao Xue Chaoyue Niu Zhenzhe Zheng Shaojie Tang Chengfei Lyu Fan Wu Guihai Chen	1
+ PDF Chat	Overcoming Noisy and Irrelevant Data in Federated Learning	2021	Tiffany Tuor Shiqiang Wang Bong Jun Ko Changchang Liu Kin K. Leung	1
+ PDF Chat	Defending against Backdoors in Federated Learning with Robust Learning Rate	2021	Mustafa Safa Özdayi Murat Kantarcıoğlu Yulia R. Gel	1
+ PDF Chat	Addressing Class Imbalance in Federated Learning	2021	Lixu Wang Shichao Xu Xiao Wang Qi Zhu	1
+	Anarchic Federated Learning	2021	Haibo Yang Xin Zhang Prashant Khanduri Jia Liu	1
+ PDF Chat	Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring	2021	Omiros Pantazis Gabriel Brostow Kate E. Jones Oisin Mac Aodha	1
+	Learning Rate Optimization for Federated Learning Exploiting Over-the-Air Computation	2021	Chunmei Xu Shengheng Liu Zhaohui Yang Yongming Huang Kai‐Kit Wong	1
+ PDF Chat	A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison	2021	Sannara Ek François Portet Philippe Lalanda Germán Vega	1
+	A Secure and Efficient Federated Learning Framework for NLP	2022	Jie‐Ren Deng Chenghong Wang Xianrui Meng Yijue Wang Ji Li Sheng Hsien Lin Shuo Han Fei Miao Sanguthevar Rajasekaran Caiwen Ding	1
+	FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels	2022	Zhuowei Wang Tianyi Zhou Guodong Long Bo Han Jing Jiang	1
+	Defending against the Label-flipping Attack in Federated Learning	2022	Najeeb Moharram Jebreel Josep Domingo‐Ferrer David Sánchez Alberto Blanco-Justicia	1
+	Federated Learning from Small Datasets	2021	Michael Kamp Jonas Fischer Jilles Vreeken	1
+	FLOWER: A FRIENDLY FEDERATED LEARNING FRAMEWORK	2022	Daniel J. Beutel Taner Topal Akhil Mathur Xinchi Qiu Javier Fernández-Marqués Yan Gao Lorenzo Sani Kwing Hei Li Titouan Parcollet Pedro P. B. de Gusmão	1
+	Split learning for health: Distributed deep learning without sharing raw patient data	2018	Praneeth Vepakomma Otkrist Gupta Tristan Swedish Ramesh Raskar	1
+	A survey of automatic de-identification of longitudinal clinical narratives	2018	Vithya Yogarajan Michael Mayo Bernhard Pfahringer	1
+	Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels	2022	Vasileios Tsouvalas Aaqib Saeed Tanır Özçelebi Nirvana Meratnia	1
+	Communication-Efficient Learning of Deep Networks from Decentralized Data	2016	H. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson Blaise Agüera y Arcas	1
+ PDF Chat	SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications	2023	Yuzhu Mao Zihao Zhao Meilin Yang Le Liang Yang Liu Wenbo Ding Tian Lan Xiao–Ping Zhang	1
+	Feature-Augmented Neural Networks for Patient Note De-identification	2016	Ji Young Lee Franck Dernoncourt Özlem Uzuner Peter Szolovits	1
+	Learning to Learn	1998	Jonathan Baxter	1
+	How To Backdoor Federated Learning	2018	Eugene Bagdasaryan Andreas Veit Yiqing Hua Deborah Estrin Vitaly Shmatikov	1