
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises
In [1, 2], we have explored the theoretical aspects of feature extractio...
read it

Applications of NatureInspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics
In [1], we have explored the theoretical aspects of feature selection an...
read it

A Survey on Causal Inference
Causal inference is a critical research topic across many domains, such ...
read it

Occupancy Detection in Room Using Sensor Data
With the advent of Internet of Thing (IoT), and ubiquitous data collecte...
read it

A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
Inverse reinforcement learning is the problem of inferring the reward fu...
read it

Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning
Over the last decade, the use of Deep Learning in many applications prod...
read it

A GameBased Approximate Verification of Deep Neural Networks with Provable Guarantees
Despite the improved accuracy of deep neural networks, the discovery of ...
read it

Understanding the Political Ideology of Legislators from Social Media Images
In this paper, we seek to understand how politicians use images to expre...
read it

ISEA: Image Steganalysis using Evolutionary Algorithms
NPhard problems always have been attracting scientists' attentions, and...
read it

Evolutionary Computation, Optimization and Learning Algorithms for Data Science
A large number of engineering, science and computational problems have y...
read it

Modelfree Feature Screening and FDR Control with Knockoff Features
This paper proposes a modelfree and dataadaptive feature screening met...
read it

Inverse Reinforcement Learning Under Noisy Observations
We consider the problem of performing inverse reinforcement learning whe...
read it

FeatureGuided BlackBox Safety Testing of Deep Neural Networks
Despite the improved accuracy of deep neural networks, the discovery of ...
read it

A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques
The amount of text that is generated every day is increasing dramaticall...
read it

A Compressive Sensing Approach to Community Detection with Applications
The community detection problem for graphs asks one to partition the n v...
read it

ActorCritic for LinearlySolvable Continuous MDP with Partially Known Dynamics
In many robotic applications, some aspects of the system dynamics can be...
read it

Computational Motility Tracking of Calcium Dynamics in Toxoplasma gondii
Toxoplasma gondii is the causative agent responsible for toxoplasmosis a...
read it

Local Geometry Inclusive Global Shape Representation
Knowledge of shape geometry plays a pivotal role in many shape analysis ...
read it

Optimal Subsampling for Large Sample Logistic Regression
For massive data, the family of subsampling algorithms is popular to dow...
read it

Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model
Probabilistic Graphical Models (PGM) are very useful in the fields of ma...
read it

Dynamic Sum Product Networks for Tractable Inference on Sequence Data (Extended Version)
SumProduct Networks (SPN) have recently emerged as a new class of tract...
read it

Individual Planning in Agent Populations: Exploiting Anonymity and FrameAction Hypergraphs
Interactive partially observable Markov decision processes (IPOMDP) pro...
read it

Photographic home styles in Congress: a computer vision approach
While members of Congress now routinely communicate with constituents us...
read it

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...
read it

PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems
In the big data era, scalability has become a crucial requirement for an...
read it

4D Crop Monitoring: SpatioTemporal Reconstruction for Agriculture
Autonomous crop monitoring at high spatial and temporal resolution is a ...
read it

A Markov Model for Ontology Alignment
The explosion of available data along with the need to integrate and uti...
read it

Eye Tracking for Everyone
From scientific research to commercial applications, eye tracking is an ...
read it

Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments
Significant performance gains in deep learning coupled with the exponent...
read it

Orthogonal RankOne Matrix Pursuit for Low Rank Matrix Completion
In this paper, we propose an efficient and scalable low rank matrix comp...
read it

Regression shrinkage and grouping of highly correlated predictors with HORSES
Identifying homogeneous subgroups of variables can be challenging in hig...
read it

Text Summarization Techniques: A Brief Survey
In recent years, there has been a explosion in the amount of text data f...
read it

Inverse Mapping for RainfallRunoff Models using History Matching Approach
In this paper, we consider two rainfallrunoff computer models. The firs...
read it

FARMTest: FactorAdjusted Robust Multiple Testing with False Discovery Control
Largescale multiple testing with correlated and heavytailed data arise...
read it

Help Me Find a Job: A Graphbased Approach for Job Recommendation at Scale
Online job boards are one of the central components of modern recruitmen...
read it

A Comprehensive Survey of Ontology Summarization: Measures and Methods
The Semantic Web is becoming a large scale framework that enables data t...
read it

An efficient and secure twoparty key agreement protocol based on chaotic maps
Secure communication is a matter of genuine concern that includes means ...
read it

Solving Minimum ksupplier in AdlemanLipton model
In this paper, we consider an algorithm for solving the minimum k suppli...
read it

PoTrojan: powerful neurallevel trojan designs in deep learning models
With the popularity of deep learning (DL), artificial intelligence (AI) ...
read it

Network Phenotyping for Network Traffic Classification and Anomaly Detection
This paper proposes to develop a network phenotyping mechanism based on ...
read it

Stacked Neural Networks for endtoend ciliary motion analysis
Cilia are hairlike structures protruding from nearly every cell in the b...
read it

Generative Spatiotemporal Modeling Of Neutrophil Behavior
Cell motion and appearance have a strong correlation with cell cycle and...
read it

Machine Learning for Public Administration Research, with Application to Organizational Reputation
Machine learning methods have gained a great deal of popularity in recen...
read it

Graphbased Ontology Summarization: A Survey
Ontologies have been widely used in numerous and varied applications, e....
read it

A Framework and Method for Online Inverse Reinforcement Learning
Inverse reinforcement learning (IRL) is the problem of learning the pref...
read it

Reinforcement Learning for Heterogeneous Teams with PALO Bounds
We introduce reinforcement learning for heterogeneous teams in which rew...
read it

Navigating a maze differently  a user study
Navigating spaces is an embodied experience that all human beings underg...
read it

SemiSupervised Cluster Extraction via a Compressive Sensing Approach
We use techniques from compressive sensing to design a local clustering ...
read it

An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices
Statistical agencies face a dual mandate to publish accurate statistics ...
read it

Concentrated Differentially Private Gradient Descent with Adaptive perIteration Privacy Budget
Iterative algorithms, like gradient descent, are common tools for solvin...
read it
University of Georgia
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.