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An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises
In [1, 2], we have explored the theoretical aspects of feature extractio...
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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...
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A Survey on Causal Inference
Causal inference is a critical research topic across many domains, such ...
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Occupancy Detection in Room Using Sensor Data
With the advent of Internet of Thing (IoT), and ubiquitous data collecte...
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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...
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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...
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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 ...
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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...
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ISEA: Image Steganalysis using Evolutionary Algorithms
NP-hard problems always have been attracting scientists' attentions, and...
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Evolutionary Computation, Optimization and Learning Algorithms for Data Science
A large number of engineering, science and computational problems have y...
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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...
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Inverse Reinforcement Learning Under Noisy Observations
We consider the problem of performing inverse reinforcement learning whe...
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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 ...
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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...
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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...
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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...
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Computational Motility Tracking of Calcium Dynamics in Toxoplasma gondii
Toxoplasma gondii is the causative agent responsible for toxoplasmosis a...
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Local Geometry Inclusive Global Shape Representation
Knowledge of shape geometry plays a pivotal role in many shape analysis ...
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Optimal Subsampling for Large Sample Logistic Regression
For massive data, the family of subsampling algorithms is popular to dow...
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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...
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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...
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Individual Planning in Agent Populations: Exploiting Anonymity and Frame-Action Hypergraphs
Interactive partially observable Markov decision processes (I-POMDP) pro...
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Photographic home styles in Congress: a computer vision approach
While members of Congress now routinely communicate with constituents us...
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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...
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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...
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4D Crop Monitoring: Spatio-Temporal Reconstruction for Agriculture
Autonomous crop monitoring at high spatial and temporal resolution is a ...
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A Markov Model for Ontology Alignment
The explosion of available data along with the need to integrate and uti...
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Eye Tracking for Everyone
From scientific research to commercial applications, eye tracking is an ...
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Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments
Significant performance gains in deep learning coupled with the exponent...
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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...
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Regression shrinkage and grouping of highly correlated predictors with HORSES
Identifying homogeneous subgroups of variables can be challenging in hig...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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...
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PoTrojan: powerful neural-level trojan designs in deep learning models
With the popularity of deep learning (DL), artificial intelligence (AI) ...
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Network Phenotyping for Network Traffic Classification and Anomaly Detection
This paper proposes to develop a network phenotyping mechanism based on ...
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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...
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Generative Spatiotemporal Modeling Of Neutrophil Behavior
Cell motion and appearance have a strong correlation with cell cycle and...
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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...
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Graph-based Ontology Summarization: A Survey
Ontologies have been widely used in numerous and varied applications, e....
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A Framework and Method for Online Inverse Reinforcement Learning
Inverse reinforcement learning (IRL) is the problem of learning the pref...
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Reinforcement Learning for Heterogeneous Teams with PALO Bounds
We introduce reinforcement learning for heterogeneous teams in which rew...
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Navigating a maze differently - a user study
Navigating spaces is an embodied experience that all human beings underg...
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Semi-Supervised Cluster Extraction via a Compressive Sensing Approach
We use techniques from compressive sensing to design a local clustering ...
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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 ...
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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...
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