University of Georgia

research

∙ 04/06/2022

Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis

When deep neural network (DNN) was first introduced to the medical image...

Sheng Wang, et al. ∙

research

∙ 02/06/2022

Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review

In recent years, smart healthcare IoT devices have become ubiquitous, bu...

Farid Ghareh Mohammadi, et al. ∙

research

∙ 08/26/2019

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises

In [1, 2], we have explored the theoretical aspects of feature extractio...

Farid Ghareh Mohammadi, et al. ∙

research

∙ 08/22/2019

Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics

In [1], we have explored the theoretical aspects of feature selection an...

Farid Ghareh Mohammadi, et al. ∙

research

∙ 02/05/2020

A Survey on Causal Inference

Causal inference is a critical research topic across many domains, such ...

Liuyi Yao, et al. ∙

research

∙ 01/23/2022

An Integrated Approach for Video Captioning and Applications

Physical computing infrastructure, data gathering, and algorithms have r...

Soheyla Amirian, et al. ∙

research

∙ 01/10/2021

Occupancy Detection in Room Using Sensor Data

With the advent of Internet of Thing (IoT), and ubiquitous data collecte...

Mohammadhossein Toutiaee, et al. ∙

research

∙ 06/18/2018

A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress

Inverse reinforcement learning is the problem of inferring the reward fu...

Saurabh Arora, et al. ∙

research

∙ 04/07/2021

Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning

Over the last decade, the use of Deep Learning in many applications prod...

Soheyla Amirian, et al. ∙

research

∙ 02/07/2022

A Least Square Approach to Semi-supervised Local Cluster Extraction

A least square semi-supervised local clustering algorithm based on the i...

Ming-Jun Lai, et al. ∙

research

∙ 07/10/2018

A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees

Despite the improved accuracy of deep neural networks, the discovery of ...

Min Wu, et al. ∙

research

∙ 07/22/2019

Understanding the Political Ideology of Legislators from Social Media Images

In this paper, we seek to understand how politicians use images to expre...

Nan Xi, et al. ∙

research

∙ 07/05/2021

Sarcasm Detection: A Comparative Study

Sarcasm detection is the task of identifying irony containing utterances...

Hamed Yaghoobian, et al. ∙

research

∙ 01/10/2022

High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAM

Structure from Motion (SfM) techniques are being increasingly used to cr...

Brian M. Hopkinson, et al. ∙

research

∙ 07/23/2019

ISEA: Image Steganalysis using Evolutionary Algorithms

NP-hard problems always have been attracting scientists' attentions, and...

Farid Ghareh Mohammadi, et al. ∙

research

∙ 08/16/2019

Evolutionary Computation, Optimization and Learning Algorithms for Data Science

A large number of engineering, science and computational problems have y...

Farid Ghareh Mohammadi, et al. ∙

research

∙ 08/19/2019

Model-free Feature Screening and FDR Control with Knockoff Features

This paper proposes a model-free and data-adaptive feature screening met...

Wanjun Liu, et al. ∙

research

∙ 10/27/2017

Inverse Reinforcement Learning Under Noisy Observations

We consider the problem of performing inverse reinforcement learning whe...

Shervin Shahryari, et al. ∙

research

∙ 10/21/2017

Feature-Guided Black-Box Safety Testing of Deep Neural Networks

Despite the improved accuracy of deep neural networks, the discovery of ...

Matthew Wicker, et al. ∙

research

∙ 07/10/2017

A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques

The amount of text that is generated every day is increasing dramaticall...

Mehdi Allahyari, et al. ∙

research

∙ 08/30/2017

A Compressive Sensing Approach to Community Detection with Applications

The community detection problem for graphs asks one to partition the n v...

Ming-Jun Lai, et al. ∙

research

∙ 06/04/2017

Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics

In many robotic applications, some aspects of the system dynamics can be...

Tomoki Nishi, et al. ∙

research

∙ 08/01/2017

Computational Motility Tracking of Calcium Dynamics in Toxoplasma gondii

Toxoplasma gondii is the causative agent responsible for toxoplasmosis a...

Mojtaba Sedigh Fazli, et al. ∙

research

∙ 07/20/2017

Local Geometry Inclusive Global Shape Representation

Knowledge of shape geometry plays a pivotal role in many shape analysis ...

Somenath Das, et al. ∙

research

∙ 02/03/2017

Optimal Subsampling for Large Sample Logistic Regression

For massive data, the family of subsampling algorithms is popular to dow...

HaiYing Wang, et al. ∙

research

∙ 12/28/2015

Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model

Probabilistic Graphical Models (PGM) are very useful in the fields of ma...

Khalifeh Aljadda, et al. ∙

research

∙ 11/13/2015

Dynamic Sum Product Networks for Tractable Inference on Sequence Data (Extended Version)

Sum-Product Networks (SPN) have recently emerged as a new class of tract...

Mazen Melibari, et al. ∙

research

∙ 03/24/2015

Individual Planning in Agent Populations: Exploiting Anonymity and Frame-Action Hypergraphs

Interactive partially observable Markov decision processes (I-POMDP) pro...

Ekhlas Sonu, et al. ∙

research

∙ 11/29/2016

Photographic home styles in Congress: a computer vision approach

While members of Congress now routinely communicate with constituents us...

L. Jason Anastasopoulos, et al. ∙

research

∙ 09/01/2014

Team Behavior in Interactive Dynamic Influence Diagrams with Applications to Ad Hoc Teams

Planning for ad hoc teamwork is challenging because it involves agents c...

Muthukumaran Chandrasekaran, et al. ∙

research

∙ 07/21/2014

PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems

In the big data era, scalability has become a crucial requirement for an...

Khalifeh Aljadda, et al. ∙

research

∙ 10/08/2016

4D Crop Monitoring: Spatio-Temporal Reconstruction for Agriculture

Autonomous crop monitoring at high spatial and temporal resolution is a ...

Jing Dong, et al. ∙

research

∙ 04/20/2013

A Markov Model for Ontology Alignment

The explosion of available data along with the need to integrate and uti...

Michael E. Cotterell, et al. ∙

research

∙ 06/18/2016

Eye Tracking for Everyone

From scientific research to commercial applications, eye tracking is an ...

Kyle Krafka, et al. ∙

research

∙ 06/04/2016

Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments

Significant performance gains in deep learning coupled with the exponent...

Karan Sharma, et al. ∙

research

∙ 04/04/2014

Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion

In this paper, we propose an efficient and scalable low rank matrix comp...

Zheng Wang, et al. ∙

research

∙ 02/01/2013

Regression shrinkage and grouping of highly correlated predictors with HORSES

Identifying homogeneous subgroups of variables can be challenging in hig...

Woncheol Jang, et al. ∙

research

∙ 07/07/2017

Text Summarization Techniques: A Brief Survey

In recent years, there has been a explosion in the amount of text data f...

Mehdi Allahyari, et al. ∙

research

∙ 09/09/2017

Inverse Mapping for Rainfall-Runoff Models using History Matching Approach

In this paper, we consider two rainfall-runoff computer models. The firs...

Natalia V. Bhattacharjee, et al. ∙

research

∙ 11/15/2017

FARM-Test: Factor-Adjusted Robust Multiple Testing with False Discovery Control

Large-scale multiple testing with correlated and heavy-tailed data arise...

Jianqing Fan, et al. ∙

research

∙ 01/01/2018

Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale

Online job boards are one of the central components of modern recruitmen...

Walid Shalaby, et al. ∙

research

∙ 01/05/2018

A Comprehensive Survey of Ontology Summarization: Measures and Methods

The Semantic Web is becoming a large scale framework that enables data t...

Seyedamin Pouriyeh, et al. ∙

research

∙ 01/09/2018

An efficient and secure two-party key agreement protocol based on chaotic maps

Secure communication is a matter of genuine concern that includes means ...

Nahid Yahyapoor, et al. ∙

research

∙ 01/17/2018

Solving Minimum k-supplier in Adleman-Lipton model

In this paper, we consider an algorithm for solving the minimum k suppli...

Saeid Safaei, et al. ∙

research

∙ 02/08/2018

PoTrojan: powerful neural-level trojan designs in deep learning models

With the popularity of deep learning (DL), artificial intelligence (AI) ...

Minhui Zou, et al. ∙

research

∙ 03/05/2018

Network Phenotyping for Network Traffic Classification and Anomaly Detection

This paper proposes to develop a network phenotyping mechanism based on ...

Minhui Zou, et al. ∙

research

∙ 03/20/2018

Stacked Neural Networks for end-to-end ciliary motion analysis

Cilia are hairlike structures protruding from nearly every cell in the b...

Charles Lu, et al. ∙

research

∙ 04/02/2018

Generative Spatiotemporal Modeling Of Neutrophil Behavior

Cell motion and appearance have a strong correlation with cell cycle and...

Narita Pandhe, et al. ∙

research

∙ 05/11/2018

Machine Learning for Public Administration Research, with Application to Organizational Reputation

Machine learning methods have gained a great deal of popularity in recen...

L. Jason Anastasopoulos, et al. ∙

research

∙ 05/15/2018

Graph-based Ontology Summarization: A Survey

Ontologies have been widely used in numerous and varied applications, e....

Seyedamin Pouriyeh, et al. ∙

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