Michael Green

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition.
CoRR, 2024

Perceptual Transformer Loss for the Neural Denoising of Ultra-Low Dose CT.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
"Who are you?": Identifying Young Users from a Single Search Query.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Fast Acquisition for Diffusion Tensor Tractography.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023

Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-Driven Approach.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Borch: A Deep Universal Probabilistic Programming Language.
CoRR, 2022

Anisotropic neural deblurring for MRI acceleration.
Int. J. Comput. Assist. Radiol. Surg., 2022

A Data-Driven Approach for Automated Integrated Circuit Segmentation of Scan Electron Microscopy Images.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Complementary Phase Encoding for Pair-Wise Neural Deblurring of Accelerated Brain MRI.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Baby Shark to Barracuda: Analyzing Children's Music Listening Behavior.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Making a (Counterfactual) Difference One Rationale at a Time.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
An empirical analysis of search engines' response to web search queries associated with the classroom setting.
Aslib J. Inf. Manag., 2020

A 28-GHz Massive MIMO Receiver Deploying One-Bit Direct Detection with Wireless Synchronization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019
libRL: A Python library for the characterization of microwave absorption.
J. Open Source Softw., 2019

StoryTime: eliciting preferences from children for book recommendations.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Neural Denoising of Ultra-low Dose Mammography.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Can we leverage rating patterns from traditional users to enhance recommendations for children?
CoRR, 2018

3-D Neural denoising for low-dose Coronary CT Angiography (CCTA).
Comput. Medical Imaging Graph., 2018

Learning Real Noise for Ultra-Low Dose Lung CT Denoising.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

2017
An investigation into the forensic implications of the Windows 10 operating system: recoverable artefacts and significant changes from Windows 8.1.
Int. J. Electron. Secur. Digit. Forensics, 2017

Patient-specific image denoising for ultra-low-dose CT-guided lung biopsies.
Int. J. Comput. Assist. Radiol. Surg., 2017

A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

2016
Digitally queer: the use of video-mediated communication within the gay and lesbian community.
PhD thesis, 2016

Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
The lesbian, gay, bisexual and transgender community online: discussions of bullying and self-disclosure in YouTube videos.
Behav. Inf. Technol., 2015

2010
Symmetric Allosteric Mechanism of Hexameric <i>Escherichia coli</i> Arginine Repressor Exploits Competition between L-Arginine Ligands and Resident Arginine Residues.
PLoS Comput. Biol., 2010

2009
Exploring new possibilities for case-based explanation of artificial neural network ensembles.
Neural Networks, 2009

Introduction to the Special Issue on the 2009 IEEE International Solid-State Circuits Conference.
IEEE J. Solid State Circuits, 2009

2006
Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room.
Artif. Intell. Medicine, 2006

2002
Dynamics of high-frequency CMOS dividers.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

2001
New structures for very high-frequency CMOS clock dividers.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

1999
Robustness to fractionally-spaced equalizer length using the constant modulus criterion.
IEEE Trans. Signal Process., 1999

1997
On the robustness of the fractionally-spaced constant modulus criterion to channel order undermodeling .II.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1993
Modern signals and systems : H. Kwakernaak and R. Sivan.
Autom., 1993

1992
The Nehari shuffle: FIR(q) filter design with guaranteed error bounds.
IEEE Trans. Signal Process., 1992

1991
FIR (q) filter design without the linear phase constraint.
Proceedings of the 1991 International Conference on Acoustics, 1991

1989
Model reduction by phase matching.
Math. Control. Signals Syst., 1989


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