University of Georgia

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The University of Georgia, also referred to as UGA or simply Georgia, is a public flagship research university with its main campus in Athens, Georgia.

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

In [1, 2], we have explored the theoretical aspects of feature extractio...
08/26/2019 ∙ by Farid Ghareh Mohammadi, et al. ∙ 32 ∙ share

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

In [1], we have explored the theoretical aspects of feature selection an...
08/22/2019 ∙ by Farid Ghareh Mohammadi, et al. ∙ 29 ∙ share

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A Survey on Causal Inference

Causal inference is a critical research topic across many domains, such ...
02/05/2020 ∙ by Liuyi Yao, et al. ∙ 25 ∙ share

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Occupancy Detection in Room Using Sensor Data

With the advent of Internet of Thing (IoT), and ubiquitous data collecte...
01/10/2021 ∙ by Mohammadhossein Toutiaee, et al. ∙ 14 ∙ share

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

Inverse reinforcement learning is the problem of inferring the reward fu...
06/18/2018 ∙ by Saurabh Arora, et al. ∙ 8 ∙ share

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Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning

Over the last decade, the use of Deep Learning in many applications prod...
04/07/2021 ∙ by Soheyla Amirian, et al. ∙ 8 ∙ share

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

Despite the improved accuracy of deep neural networks, the discovery of ...
07/10/2018 ∙ by Min Wu, et al. ∙ 6 ∙ share

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Understanding the Political Ideology of Legislators from Social Media Images

In this paper, we seek to understand how politicians use images to expre...
07/22/2019 ∙ by Nan Xi, et al. ∙ 6 ∙ share

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ISEA: Image Steganalysis using Evolutionary Algorithms

NP-hard problems always have been attracting scientists' attentions, and...
07/23/2019 ∙ by Farid Ghareh Mohammadi, et al. ∙ 4 ∙ share

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Evolutionary Computation, Optimization and Learning Algorithms for Data Science

A large number of engineering, science and computational problems have y...
08/16/2019 ∙ by Farid Ghareh Mohammadi, et al. ∙ 4 ∙ share

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Model-free Feature Screening and FDR Control with Knockoff Features

This paper proposes a model-free and data-adaptive feature screening met...
08/19/2019 ∙ by Wanjun Liu, et al. ∙ 1 ∙ share

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Inverse Reinforcement Learning Under Noisy Observations

We consider the problem of performing inverse reinforcement learning whe...
10/27/2017 ∙ by Shervin Shahryari, et al. ∙ 0 ∙ share

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

Despite the improved accuracy of deep neural networks, the discovery of ...
10/21/2017 ∙ by Matthew Wicker, et al. ∙ 0 ∙ share

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

The amount of text that is generated every day is increasing dramaticall...
07/10/2017 ∙ by Mehdi Allahyari, et al. ∙ 0 ∙ share

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A Compressive Sensing Approach to Community Detection with Applications

The community detection problem for graphs asks one to partition the n v...
08/30/2017 ∙ by Ming-Jun Lai, et al. ∙ 0 ∙ share

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

In many robotic applications, some aspects of the system dynamics can be...
06/04/2017 ∙ by Tomoki Nishi, et al. ∙ 0 ∙ share

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Computational Motility Tracking of Calcium Dynamics in Toxoplasma gondii

Toxoplasma gondii is the causative agent responsible for toxoplasmosis a...
08/01/2017 ∙ by Mojtaba Sedigh Fazli, et al. ∙ 0 ∙ share

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Local Geometry Inclusive Global Shape Representation

Knowledge of shape geometry plays a pivotal role in many shape analysis ...
07/20/2017 ∙ by Somenath Das, et al. ∙ 0 ∙ share

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Optimal Subsampling for Large Sample Logistic Regression

For massive data, the family of subsampling algorithms is popular to dow...
02/03/2017 ∙ by HaiYing Wang, et al. ∙ 0 ∙ share

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Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model

Probabilistic Graphical Models (PGM) are very useful in the fields of ma...
12/28/2015 ∙ by Khalifeh Aljadda, et al. ∙ 0 ∙ share

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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...
11/13/2015 ∙ by Mazen Melibari, et al. ∙ 0 ∙ share

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

Interactive partially observable Markov decision processes (I-POMDP) pro...
03/24/2015 ∙ by Ekhlas Sonu, et al. ∙ 0 ∙ share

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Photographic home styles in Congress: a computer vision approach

While members of Congress now routinely communicate with constituents us...
11/29/2016 ∙ by L. Jason Anastasopoulos, et al. ∙ 0 ∙ share

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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...
09/01/2014 ∙ by Muthukumaran Chandrasekaran, et al. ∙ 0 ∙ share

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

In the big data era, scalability has become a crucial requirement for an...
07/21/2014 ∙ by Khalifeh Aljadda, et al. ∙ 0 ∙ share

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4D Crop Monitoring: Spatio-Temporal Reconstruction for Agriculture

Autonomous crop monitoring at high spatial and temporal resolution is a ...
10/08/2016 ∙ by Jing Dong, et al. ∙ 0 ∙ share

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A Markov Model for Ontology Alignment

The explosion of available data along with the need to integrate and uti...
04/20/2013 ∙ by Michael E. Cotterell, et al. ∙ 0 ∙ share

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Eye Tracking for Everyone

From scientific research to commercial applications, eye tracking is an ...
06/18/2016 ∙ by Kyle Krafka, et al. ∙ 0 ∙ share

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Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments

Significant performance gains in deep learning coupled with the exponent...
06/04/2016 ∙ by Karan Sharma, et al. ∙ 0 ∙ share

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Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion

In this paper, we propose an efficient and scalable low rank matrix comp...
04/04/2014 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Regression shrinkage and grouping of highly correlated predictors with HORSES

Identifying homogeneous subgroups of variables can be challenging in hig...
02/01/2013 ∙ by Woncheol Jang, et al. ∙ 0 ∙ share

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Text Summarization Techniques: A Brief Survey

In recent years, there has been a explosion in the amount of text data f...
07/07/2017 ∙ by Mehdi Allahyari, et al. ∙ 0 ∙ share

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Inverse Mapping for Rainfall-Runoff Models using History Matching Approach

In this paper, we consider two rainfall-runoff computer models. The firs...
09/09/2017 ∙ by Natalia V. Bhattacharjee, et al. ∙ 0 ∙ share

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

Large-scale multiple testing with correlated and heavy-tailed data arise...
11/15/2017 ∙ by Jianqing Fan, et al. ∙ 0 ∙ share

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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...
01/01/2018 ∙ by Walid Shalaby, et al. ∙ 0 ∙ share

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A Comprehensive Survey of Ontology Summarization: Measures and Methods

The Semantic Web is becoming a large scale framework that enables data t...
01/05/2018 ∙ by Seyedamin Pouriyeh, et al. ∙ 0 ∙ share

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

Secure communication is a matter of genuine concern that includes means ...
01/09/2018 ∙ by Nahid Yahyapoor, et al. ∙ 0 ∙ share

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Solving Minimum k-supplier in Adleman-Lipton model

In this paper, we consider an algorithm for solving the minimum k suppli...
01/17/2018 ∙ by Saeid Safaei, et al. ∙ 0 ∙ share

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

With the popularity of deep learning (DL), artificial intelligence (AI) ...
02/08/2018 ∙ by Minhui Zou, et al. ∙ 0 ∙ share

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Network Phenotyping for Network Traffic Classification and Anomaly Detection

This paper proposes to develop a network phenotyping mechanism based on ...
03/05/2018 ∙ by Minhui Zou, et al. ∙ 0 ∙ share

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

Cilia are hairlike structures protruding from nearly every cell in the b...
03/20/2018 ∙ by Charles Lu, et al. ∙ 0 ∙ share

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Generative Spatiotemporal Modeling Of Neutrophil Behavior

Cell motion and appearance have a strong correlation with cell cycle and...
04/02/2018 ∙ by Narita Pandhe, et al. ∙ 0 ∙ share

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

Machine learning methods have gained a great deal of popularity in recen...
05/11/2018 ∙ by L. Jason Anastasopoulos, et al. ∙ 0 ∙ share

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Graph-based Ontology Summarization: A Survey

Ontologies have been widely used in numerous and varied applications, e....
05/15/2018 ∙ by Seyedamin Pouriyeh, et al. ∙ 0 ∙ share

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A Framework and Method for Online Inverse Reinforcement Learning

Inverse reinforcement learning (IRL) is the problem of learning the pref...
05/21/2018 ∙ by Saurabh Arora, et al. ∙ 0 ∙ share

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Reinforcement Learning for Heterogeneous Teams with PALO Bounds

We introduce reinforcement learning for heterogeneous teams in which rew...
05/23/2018 ∙ by Roi Ceren, et al. ∙ 0 ∙ share

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Navigating a maze differently - a user study

Navigating spaces is an embodied experience that all human beings underg...
05/23/2018 ∙ by Aryabrata Basu, et al. ∙ 0 ∙ share

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Semi-Supervised Cluster Extraction via a Compressive Sensing Approach

We use techniques from compressive sensing to design a local clustering ...
08/17/2018 ∙ by Ming-Jun Lai, et al. ∙ 0 ∙ share

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An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices

Statistical agencies face a dual mandate to publish accurate statistics ...
08/20/2018 ∙ by John M. Abowd, et al. ∙ 0 ∙ share

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Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget

Iterative algorithms, like gradient descent, are common tools for solvin...
08/28/2018 ∙ by Jaewoo Lee, et al. ∙ 0 ∙ share

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