Search Results for author: Robert Bassett

Found 5 papers, 2 papers with code

Galaxy 3D Shape Recovery using Mixture Density Network

1 code implementation6 Apr 2024 Suk Yee Yong, K. E. Harborne, Caroline Foster, Robert Bassett, Gregory B. Poole, Mitchell Cavanagh

Since the turn of the century, astronomers have been exploiting the rich information afforded by combining stellar kinematic maps and imaging in an attempt to recover the intrinsic, three-dimensional (3D) shape of a galaxy.

Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities

no code implementations16 Oct 2023 Thanh Tung Khuat, Robert Bassett, Ellen Otte, Alistair Grevis-James, Bogdan Gabrys

While machine learning (ML) has made significant contributions to the biopharmaceutical field, its applications are still in the early stages in terms of providing direct support for quality-by-design based development and manufacturing of biopharmaceuticals, hindering the enormous potential for bioprocesses automation from their development to manufacturing.

DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis

no code implementations28 Aug 2021 Kevin Lutz, Robert Bassett

Existing literature suggests that this method is an effective DeepFake detector, and its motivating principles are attractively simple.

DeepFake Detection Face Swapping +2

The Maximal Eigengap Estimator for Acoustic Vector-Sensor Processing

no code implementations21 Apr 2021 Robert Bassett, Jacob Foster, Kay L. Gemba, Paul Leary, Kevin B. Smith

This paper introduces the maximal eigengap estimator for finding the direction of arrival of a wideband acoustic signal using a single vector-sensor.

Color and Edge-Aware Adversarial Image Perturbations

1 code implementation28 Aug 2020 Robert Bassett, Mitchell Graves, Patrick Reilly

Adversarial perturbation of images, in which a source image is deliberately modified with the intent of causing a classifier to misclassify the image, provides important insight into the robustness of image classifiers.

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