Oklahoma State University

∙ Stillwater , United States ∙ 0 followers

Oklahoma State University is a land-grant, sun-grant, coeducational public research university located in Stillwater, Oklahoma, United States.

Geometric Change Detection in Digital Twins using 3D Machine Learning

Digital twins are meant to bridge the gap between real-world physical sy...
03/15/2021 ∙ by Tiril Sundby, et al. ∙ 48 ∙ share

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A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches

Computational methods to model political bias in social media involve se...
09/18/2021 ∙ by Prasad hajare, et al. ∙ 44 ∙ share

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Pruning Deep Neural Networks Architectures with Evolution Strategy

Currently, Deep Neural Networks (DNNs) are used to solve all kinds of pr...
12/24/2019 ∙ by Francisco Erivaldo Fernandes Junior, et al. ∙ 16 ∙ share

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Physics-constrained Deep Learning for Robust Inverse ECG Modeling

The rapid developments in advanced sensing and imaging bring about a dat...
07/26/2021 ∙ by Jianxin Xie, et al. ∙ 14 ∙ share

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MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis

The emergence of novel pathogens and zoonotic diseases like the SARS-CoV...
07/21/2021 ∙ by Sathyanarayanan N. Aakur, et al. ∙ 9 ∙ share

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Action Localization through Continual Predictive Learning

The problem of action recognition involves locating the action in the vi...
03/26/2020 ∙ by Sathyanarayanan N. Aakur, et al. ∙ 3 ∙ share

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Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations

Deep Learning (DL) aims at learning the meaningful representations. A me...
12/13/2017 ∙ by Yanan Sun, et al. ∙ 0 ∙ share

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Transfer Learning based Dynamic Multiobjective Optimization Algorithms

One of the major distinguishing features of the dynamic multiobjective o...
12/19/2016 ∙ by Min Jiang, et al. ∙ 0 ∙ share

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Semi-Supervised Radio Signal Identification

Radio emitter recognition in dense multi-user environments is an importa...
11/01/2016 ∙ by Timothy J. O'Shea, et al. ∙ 0 ∙ share

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Sparse Pseudo-input Local Kriging for Large Non-stationary Spatial Datasets with Exogenous Variables

Gaussian process (GP) regression is a powerful tool for building predict...
08/05/2015 ∙ by Babak Farmanesh, et al. ∙ 0 ∙ share

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Non-isometric Curve to Surface Matching with Incomplete Data for Functional Calibration

Calibration refers to the process of adjusting features of a computation...
08/05/2015 ∙ by Arash Pourhabib, et al. ∙ 0 ∙ share

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Empirical Similarity for Absent Data Generation in Imbalanced Classification

When the training data in a two-class classification problem is overwhel...
08/05/2015 ∙ by Arash Pourhabib, et al. ∙ 0 ∙ share

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Generalized deconvolution procedure for structural modeling of turbulence

Approximate deconvolution forms a mathematical framework for the structu...
07/28/2017 ∙ by Omer San, et al. ∙ 0 ∙ share

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IGD Indicator-based Evolutionary Algorithm for Many-objective Optimization Problems

Inverted Generational Distance (IGD) has been widely considered as a rel...
02/24/2018 ∙ by Yanan Sun, et al. ∙ 0 ∙ share

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Improved Regularity Model-based EDA for Many-objective Optimization

The performance of multi-objective evolutionary algorithms deteriorates ...
02/24/2018 ∙ by Yanan Sun, et al. ∙ 0 ∙ share

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A generalized parametric 3D shape representation for articulated pose estimation

We present a novel parametric 3D shape representation, Generalized sum o...
03/05/2018 ∙ by Meng Ding, et al. ∙ 0 ∙ share

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Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification

Convolutional Neural Networks (CNNs) have gained a remarkable success on...
08/11/2018 ∙ by Yanan Sun, et al. ∙ 0 ∙ share

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DP-ADMM: ADMM-based Distributed Learning with Differential Privacy

Distributed machine learning is making great changes in a wide variety o...
08/30/2018 ∙ by Zonghao Huang, et al. ∙ 0 ∙ share

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A Smart Security System with Face Recognition

Web-based technology has improved drastically in the past decade. As a r...
12/03/2018 ∙ by Trung Nguyen, et al. ∙ 0 ∙ share

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Optimal Differentially Private ADMM for Distributed Machine Learning

Due to massive amounts of data distributed across multiple locations, di...
01/07/2019 ∙ by Jiahao Ding, et al. ∙ 0 ∙ share

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3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI

Brain tumor segmentation plays a pivotal role in medical image processin...
04/06/2019 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence

In this study, we present a non-intrusive reduced order modeling (ROM) f...
06/24/2019 ∙ by Sk. Mashfiqur Rahman, et al. ∙ 0 ∙ share

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Network Embedding: on Compression and Learning

Recently, network embedding that encodes structural information of graph...
07/05/2019 ∙ by Esra Akbas, et al. ∙ 0 ∙ share

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Mutual Reinforcement Learning

Recently, collaborative robots have begun to train humans to achieve com...
07/15/2019 ∙ by Sayanti Roy, et al. ∙ 0 ∙ share

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Dissecting Deep Neural Networks

In exchange for large quantities of data and processing power, deep neur...
10/09/2019 ∙ by Haakon Robinson, et al. ∙ 0 ∙ share

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ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert

South Indian classical music (Carnatic music) is best consumed through l...
12/08/2019 ∙ by Arunkumar Bagavathi, et al. ∙ 0 ∙ share

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Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling

Egocentric perception has grown rapidly with the advent of immersive com...
01/30/2020 ∙ by Sathyanarayanan N. Aakur, et al. ∙ 0 ∙ share

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A Bilinear Partially Penalized Immersed Finite Element Method for Elliptic Interface Problems with Multi-Domains and Triple-Junction Points

In this article, we introduce a new partially penalized immersed finite ...
03/03/2020 ∙ by Yuan Chen, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles

Control theory provides engineers with a multitude of tools to design co...
06/17/2020 ∙ by Simen Theie Havenstrøm, et al. ∙ 0 ∙ share

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Interface learning of multiphysics and multiscale systems

Complex natural or engineered systems comprise multiple characteristic s...
06/17/2020 ∙ by Shady E. Ahmed, et al. ∙ 0 ∙ share

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Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks

Bovine Respiratory Disease Complex (BRDC) is a complex respiratory disea...
07/24/2020 ∙ by Sai Narayanan, et al. ∙ 0 ∙ share

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A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction

We put forth a long short-term memory (LSTM) nudging framework for the e...
08/05/2020 ∙ by Shady Ahmed, et al. ∙ 0 ∙ share

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Interpreting convolutional networks trained on textual data

There have been many advances in the artificial intelligence field due t...
10/20/2020 ∙ by Reza Marzban, et al. ∙ 0 ∙ share

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A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks

We propose a novel defensive mechanism based on a generative adversarial...
03/03/2021 ∙ by Yudi Dong, et al. ∙ 0 ∙ share

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Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent

Recently introduced distributed zeroth-order optimization (ZOO) algorith...
07/26/2021 ∙ by Gangshan Jing, et al. ∙ 0 ∙ share

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Snippet Policy Network for Multi-class Varied-length ECG Early Classification

Arrhythmia detection from ECG is an important research subject in the pr...
07/28/2021 ∙ by Yu Huang, et al. ∙ 0 ∙ share

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BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search

Neural architecture search (NAS), which automatically designs the archit...
08/09/2021 ∙ by Xiangning Xie, et al. ∙ 0 ∙ share

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Nonlinear proper orthogonal decomposition for convection-dominated flows

Autoencoder techniques find increasingly common use in reduced order mod...
10/15/2021 ∙ by Shady E. Ahmed, et al. ∙ 0 ∙ share

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