
Supervised Dimensionality Reduction and Visualization using Centroidencoder
Visualizing highdimensional data is an essential task in Data Science a...
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Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability
Neural networks have become increasingly prevalent within the geoscience...
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Learning and Recognizing Archeological Features from LiDAR Data
We present a remote sensing pipeline that processes LiDAR (Light Detecti...
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Synthetic Lung Nodule 3D Image Generation Using Autoencoders
One of the challenges of using machine learning techniques with medical ...
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The flag manifold as a tool for analyzing and comparing data sets
The shape and orientation of data clouds reflect variability in observat...
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Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders
In this paper, we demonstrate how deep autoencoders can be generalized t...
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Towards a NetworksofNetworks Framework for Cyber Security
Networksofnetworks (NoN) is a graphtheoretic model of interdependent ...
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Singletrial P300 Classification using PCA with LDA, QDA and Neural Networks
The P300 eventrelated potential (ERP), evoked in scalprecorded electro...
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Machine Learning for the Geosciences: Challenges and Opportunities
Geosciences is a field of great societal relevance that requires solutio...
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HighDimensional Dependency Structure Learning for Physical Processes
In this paper, we consider the use of structure learning methods for pro...
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Efficient HillClimber for MultiObjective PseudoBoolean Optimization
Local search algorithms and iterated local search algorithms are a basic...
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Optimal Neuron Selection: NK Echo State Networks for Reinforcement Learning
This paper introduces the NK Echo State Network. The problem of learning...
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Storing cycles in Hopfieldtype networks with pseudoinverse learning rule: admissibility and network topology
Cyclic patterns of neuronal activity are ubiquitous in animal nervous sy...
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Optimal Nudging: Solving AverageReward SemiMarkov Decision Processes as a Minimal Sequence of Cumulative Tasks
This paper describes a novel method to solve averagereward semiMarkov ...
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Risk estimation for highdimensional lasso regression
In highdimensional estimation, analysts are faced with more parameters ...
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On the Nyström and ColumnSampling Methods for the Approximate Principal Components Analysis of Large Data Sets
In this paper we analyze approximate methods for undertaking a principal...
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Riskconsistency of crossvalidation with lassotype procedures
The lasso and related sparsity inducing algorithms have been the target ...
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Nonparametric Independence Screening in Sparse UltraHigh Dimensional Additive Models
A variable screening procedure via correlation learning was proposed Fan...
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Introduction to the Bag of Features Paradigm for Image Classification and Retrieval
The past decade has seen the growing popularity of Bag of Features (BoF)...
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Sparsity Regularization for classification of large dimensional data
Feature selection has evolved to be a very important step in several mac...
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Index Modulation for 5G: Striving to Do More with Less
The fifth generation (5G) wireless communications brag both high spectru...
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VietorisRips and Cech Complexes of Metric Gluings
We study VietorisRips and Cech complexes of metric wedge sums and metri...
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The (thin) Bridges of AS Connectivity: Measuring Dependency using AS Hegemony
Interdomain routing is a crucial part of the Internet designed for arbi...
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Checking validity of monotone domain mean estimators
Estimates of population characteristics such as domain means are often e...
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High Accuracy Mantle Convection Simulation through Modern Numerical Methods. II: Realistic Models and Problems
Computations have helped elucidate the dynamics of Earth's mantle for se...
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Analytical Cost Metrics : Days of Future Past
As we move towards the exascale era, the new architectures must be capab...
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Nearoptimal planning using approximate dynamic programming to enhance posthazard community resilience management
The lack of a comprehensive decisionmaking approach at the communityle...
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Solving Markov decision processes for networklevel posthazard recovery via simulation optimization and rollout
Computation of optimal recovery decisions for community resilience assur...
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Sparsity Regularization and feature selection in large dimensional data
Feature selection has evolved to be an important step in several machine...
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Testing Scientific Software: A Systematic Literature Review
Context: Scientific software plays an important role in critical decisio...
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IoTSense: Behavioral Fingerprinting of IoT Devices
The InternetofThings (IoT) has brought in new challenges in, device id...
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IntervalLike Graphs and Digraphs
We unify several seemingly different graph and digraph classes under one...
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Estimation and inference of domain means subject to shape constraints
Population domain means are frequently expected to respect shape or orde...
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Distributed Capacity of A Multiple Access Channel
In distributed communication, each transmitter prepares an ensemble of c...
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Accounting for phenology in the analysis of animal movement
The analysis of animal tracking data provides an important source of sci...
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Running on empty: Recharge dynamics from animal movement data
The field of animal movement modeling has exploded with options for stat...
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Inferring Influence Networks from Longitudinal Bipartite Relational Data
Longitudinal bipartite relational data characterize the evolution of rel...
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Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia
This project presents the results of a partnership between the Data Scie...
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Letting symmetry guide visualization: multidimensional scaling on groups
Multidimensional scaling (MDS) is a fundamental tool for both data visua...
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New Exploratory Tools for Extremal Dependence: Chi Networks and Annual Extremal Networks
Understanding dependence structure among extreme values plays an importa...
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Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities
Motivation: Deep learning architectures have recently demonstrated their...
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Distributionally Robust Inference for Extreme ValueatRisk
Under general multivariate regular variation conditions, the extreme Val...
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GANs for SemiSupervised Opinion Spam Detection
Online reviews have become a vital source of information in purchasing a...
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Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of TimeVarying Environmental Exposures in Children's Health Studies
Research has shown that early life exposures to environmental chemicals,...
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Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach
Lateral movement attacks are a serious threat to enterprise security. In...
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The strong approximation theorem and computing with linear groups
We obtain a computational realization of the strong approximation theore...
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Incorporating WeisfeilerLeman into algorithms for group isomorphism
In this paper we combine many of the standard and more recent algebraic ...
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Hierarchical approaches for flexible and interpretable binary regression models
Binary regression models are ubiquitous in virtually every scientific fi...
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Link Dimension and Exact Construction of a Graph
Minimum resolution set and associated metric dimension provide the basis...
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A datadriven approach to sampling matrix selection for compressive sensing
Sampling is a fundamental aspect of any implementation of compressive se...
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Colorado State University
Colorado State University is an accredited, public, fouryear, comprehensive research university located in Fort Collins. CSU offers bachelors, masters and doctorate degrees from its colleges and areas of study.