Oklahoma State University

research

∙ 03/15/2021

Geometric Change Detection in Digital Twins using 3D Machine Learning

Digital twins are meant to bridge the gap between real-world physical sy...

Tiril Sundby, et al. ∙

research

∙ 09/18/2021

A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches

Computational methods to model political bias in social media involve se...

Prasad hajare, et al. ∙

research

∙ 12/24/2019

Pruning Deep Neural Networks Architectures with Evolution Strategy

Currently, Deep Neural Networks (DNNs) are used to solve all kinds of pr...

Francisco Erivaldo Fernandes Junior, et al. ∙

research

∙ 07/26/2021

Physics-constrained Deep Learning for Robust Inverse ECG Modeling

The rapid developments in advanced sensing and imaging bring about a dat...

Jianxin Xie, et al. ∙

research

∙ 07/12/2022

DDI Prediction via Heterogeneous Graph Attention Networks

Polypharmacy, defined as the use of multiple drugs together, is a standa...

Farhan Tanvir, et al. ∙

research

∙ 11/09/2021

Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis

Advances in next-generation metagenome sequencing have the potential to ...

Sathyanarayanan N. Aakur, et al. ∙

research

∙ 08/15/2022

Prospects of federated machine learning in fluid dynamics

Physics-based models have been mainstream in fluid dynamics for developi...

Omer San, et al. ∙

research

∙ 07/21/2021

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

The emergence of novel pathogens and zoonotic diseases like the SARS-CoV...

Sathyanarayanan N. Aakur, et al. ∙

research

∙ 03/26/2020

Action Localization through Continual Predictive Learning

The problem of action recognition involves locating the action in the vi...

Sathyanarayanan N. Aakur, et al. ∙

research

∙ 01/11/2022

Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations

Dynamic mode decomposition (DMD) is an emerging methodology that has rec...

Shady E. Ahmed, et al. ∙

research

∙ 03/03/2021

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...

Yudi Dong, et al. ∙

research

∙ 07/26/2021

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

Recently introduced distributed zeroth-order optimization (ZOO) algorith...

Gangshan Jing, et al. ∙

research

∙ 07/28/2021

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

Arrhythmia detection from ECG is an important research subject in the pr...

Yu Huang, et al. ∙

research

∙ 08/09/2021

BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search

Neural architecture search (NAS), which automatically designs the archit...

Xiangning Xie, et al. ∙

research

∙ 10/15/2021

Nonlinear proper orthogonal decomposition for convection-dominated flows

Autoencoder techniques find increasingly common use in reduced order mod...

Shady E. Ahmed, et al. ∙

research

∙ 11/09/2021

Towards Active Vision for Action Localization with Reactive Control and Predictive Learning

Visual event perception tasks such as action localization have primarily...

Shubham Trehan, et al. ∙

research

∙ 11/25/2021

A Survey of Blockchain Data Management Systems

Blockchain has been widely deployed in various sectors, such as finance,...

Qian Wei, et al. ∙

research

∙ 08/05/2020

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...

Shady Ahmed, et al. ∙

research

∙ 01/10/2022

Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph

Existing distributed cooperative multi-agent reinforcement learning (MAR...

Gangshan Jing, et al. ∙

research

∙ 02/20/2022

Behind Closed Doors: Process-Level Rootkit Attacks in Cyber-Physical Microgrid Systems

Embedded controllers, sensors, actuators, advanced metering infrastructu...

Suman Rath, et al. ∙

research

∙ 02/26/2022

A Scalable Graph-Theoretic Distributed Framework for Cooperative Multi-Agent Reinforcement Learning

The main challenge of large-scale cooperative multi-agent reinforcement ...

Gangshan Jing, et al. ∙

research

∙ 05/25/2022

Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling

We propose a new physics guided machine learning (PGML) paradigm that le...

Shady E. Ahmed, et al. ∙

research

∙ 06/24/2022

Insect-inspired Visually-guided Decentralized Swarming

This paper addresses the need for fast, lightweight, vision-guided swarm...

Mehdi Yadipour, et al. ∙

research

∙ 06/29/2022

A Consensus-Based Load-Balancing Algorithm for Sharded Blockchains

Public blockchains are decentralized networks where each participating n...

M. Toulouse, et al. ∙

research

∙ 10/11/2022

Analysis of Expected Hitting Time for Designing Evolutionary Neural Architecture Search Algorithms

Evolutionary computation-based neural architecture search (ENAS) is a po...

Zeqiong Lv, et al. ∙

research

∙ 11/16/2022

Asynchronous Bayesian Learning over a Network

We present a practical asynchronous data fusion model for networked agen...

Kinjal Bhar, et al. ∙

research

∙ 11/30/2022

Iterative Scene Graph Generation with Generative Transformers

Scene graphs provide a rich, structured representation of a scene by enc...

Sanjoy Kundu, et al. ∙

research

∙ 11/30/2022

Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning

Next-generation sequencing technologies have enhanced the scope of Inter...

Sai Narayanan, et al. ∙

research

∙ 01/14/2023

Hand Gesture Recognition through Reflected Infrared Light Wave Signals

In this study, we present a wireless (non-contact) gesture recognition m...

Li Yu, et al. ∙

research

∙ 01/07/2019

Optimal Differentially Private ADMM for Distributed Machine Learning

Due to massive amounts of data distributed across multiple locations, di...

Jiahao Ding, et al. ∙

research

∙ 12/19/2016

Transfer Learning based Dynamic Multiobjective Optimization Algorithms

One of the major distinguishing features of the dynamic multiobjective o...

Min Jiang, et al. ∙

research

∙ 11/01/2016

Semi-Supervised Radio Signal Identification

Radio emitter recognition in dense multi-user environments is an importa...

Timothy J. O'Shea, et al. ∙

research

∙ 08/05/2015

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...

Babak Farmanesh, et al. ∙

research

∙ 08/05/2015

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

Calibration refers to the process of adjusting features of a computation...

Arash Pourhabib, et al. ∙

research

∙ 08/05/2015

Empirical Similarity for Absent Data Generation in Imbalanced Classification

When the training data in a two-class classification problem is overwhel...

Arash Pourhabib, et al. ∙

research

∙ 07/28/2017

Generalized deconvolution procedure for structural modeling of turbulence

Approximate deconvolution forms a mathematical framework for the structu...

Omer San, et al. ∙

research

∙ 02/24/2018

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

Inverted Generational Distance (IGD) has been widely considered as a rel...

Yanan Sun, et al. ∙

research

∙ 02/24/2018

Improved Regularity Model-based EDA for Many-objective Optimization

The performance of multi-objective evolutionary algorithms deteriorates ...

Yanan Sun, et al. ∙

research

∙ 03/05/2018

A generalized parametric 3D shape representation for articulated pose estimation

We present a novel parametric 3D shape representation, Generalized sum o...

Meng Ding, et al. ∙

research

∙ 08/11/2018

Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification

Convolutional Neural Networks (CNNs) have gained a remarkable success on...

Yanan Sun, et al. ∙

research

∙ 08/30/2018

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

Distributed machine learning is making great changes in a wide variety o...

Zonghao Huang, et al. ∙

research

∙ 12/03/2018

A Smart Security System with Face Recognition

Web-based technology has improved drastically in the past decade. As a r...

Trung Nguyen, et al. ∙

research

∙ 10/20/2020

Interpreting convolutional networks trained on textual data

There have been many advances in the artificial intelligence field due t...

Reza Marzban, et al. ∙

research

∙ 04/06/2019

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

Brain tumor segmentation plays a pivotal role in medical image processin...

Chen Chen, et al. ∙

research

∙ 06/24/2019

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

In this study, we present a non-intrusive reduced order modeling (ROM) f...

Sk. Mashfiqur Rahman, et al. ∙

research

∙ 07/05/2019

Network Embedding: on Compression and Learning

Recently, network embedding that encodes structural information of graph...

Esra Akbas, et al. ∙

research

∙ 07/15/2019

Mutual Reinforcement Learning

Recently, collaborative robots have begun to train humans to achieve com...

Sayanti Roy, et al. ∙

research

∙ 10/09/2019

Dissecting Deep Neural Networks

In exchange for large quantities of data and processing power, deep neur...

Haakon Robinson, et al. ∙

research

∙ 12/08/2019

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

South Indian classical music (Carnatic music) is best consumed through l...

Arunkumar Bagavathi, et al. ∙

research

∙ 01/30/2020

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

Egocentric perception has grown rapidly with the advent of immersive com...

Sathyanarayanan N. Aakur, et al. ∙

Oklahoma State University

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