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John A. Miller

A Survey of Deep Learning and Foundation Models for Time Series Forecasting

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Jan 25, 2024
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EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning

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May 24, 2022
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Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML

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Mar 05, 2021
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Video Contents Understanding using Deep Neural Networks

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Apr 29, 2020
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Stereotype-Free Classification of Fictitious Faces

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Apr 29, 2020
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GELATO and SAGE: An Integrated Framework for MS Annotation

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Jan 08, 2016
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Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model

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Dec 28, 2015
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PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems

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Aug 19, 2014
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