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11/17/2021
Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities
In recent times, deep neural networks achieved outstanding predictive pe...
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07/28/2021
Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course
Machine learning has seen a vast increase of interest in recent years, a...
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05/29/2021
Ten Quick Tips for Deep Learning in Biology
Machine learning is a modern approach to problem-solving and task automa...
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03/26/2021
Few-Shot Learning for Video Object Detection in a Transfer-Learning Scheme
Different from static images, videos contain additional temporal and spa...
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02/01/2021
Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness
Recent years have witnessed an explosion of science conspiracy videos on...
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05/27/2020
Looking back to lower-level information in few-shot learning
Humans are capable of learning new concepts from small numbers of exampl...
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02/12/2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
Smarter applications are making better use of the insights gleaned from ...
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01/17/2020
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
In the last decade, machine learning and artificial intelligence applica...
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01/02/2020
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
In recent years, the utilization of biometric information has become mor...
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05/03/2019
FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers
Privacy concerns in the modern digital age have prompted researchers to ...
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01/20/2019
Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks
While extraordinary progress has been made towards developing neural net...
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01/20/2019
Rank Consistent Logits for Ordinal Regression with Convolutional Neural Networks
While extraordinary progress has been made towards developing neural net...
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07/31/2018
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers
Recent research has proposed the use of Semi Adversarial Networks (SAN) ...
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12/01/2017
Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images
In this paper, we design and evaluate a convolutional autoencoder that p...
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11/01/2016
