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03/02/2023
Large Deviations for Accelerating Neural Networks Training
Artificial neural networks (ANNs) require tremendous amount of data to t...
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11/27/2022
Geo-Adaptive Deep Spatio-Temporal predictive modeling for human mobility
Deep learning approaches for spatio-temporal prediction problems such as...
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11/25/2022
An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds
Complete computation of turbulent combustion flow involves two separate ...
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11/06/2022
Physics Informed Machine Learning for Chemistry Tabulation
Modeling of turbulent combustion system requires modeling the underlying...
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08/03/2022
Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data
Youth in the American foster care system are significantly more likely t...
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02/20/2022
ChemTab: A Physics Guided Chemistry Modeling Framework
Modeling of turbulent combustion system requires modeling the underlying...
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09/28/2021
Anomaly Detection for High-Dimensional Data Using Large Deviations Principle
Most current anomaly detection methods suffer from the curse of dimensio...
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09/24/2021
From images in the wild to video-informed image classification
Image classifiers work effectively when applied on structured images, ye...
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11/01/2019
Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)
Most current clustering based anomaly detection methods use scoring sche...
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05/29/2019
Bayesian Anomaly Detection Using Extreme Value Theory
Data-driven anomaly detection methods typically build a model for the no...
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10/01/2018
An Empirical Evaluation of Time-Aware LSTM Autoencoder on Chronic Kidney Disease
In this paper, we perform an empirical analysis on T-LSTM Auto-encoder -...
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09/26/2018
dynamicMF: A Matrix Factorization Approach to Monitor Resource Usage in High Performance Computing Systems
High performance computing (HPC) facilities consist of a large number of...
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09/02/2018
Query Log Compression for Workload Analytics
Analyzing database access logs is a key part of performance tuning, intr...
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05/30/2018
Detecting Data Leakage from Databases on Android Apps with Concept Drift
Mobile databases are the statutory backbones of many applications on sma...
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04/24/2018
Learning Manifolds from Non-stationary Streaming Data
Streaming adaptations of manifold learning based dimensionality reductio...
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04/03/2018
Hospital Readmission Prediction - Applying Hierarchical Sparsity Norms for Interpretable Models
Hospital readmissions have become one of the key measures of healthcare ...
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02/19/2018
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes
Scientific and engineering processes produce massive high-dimensional da...
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11/23/2017
Server, server in the cloud. Who is the fairest in the crowd?
This paper follows the recent history of automated beauty competitions t...
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10/17/2017
S-Isomap++: Multi Manifold Learning from Streaming Data
Manifold learning based methods have been widely used for non-linear dim...
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05/30/2017
Tracking System Behaviour from Resource Usage Data
Resource usage data, collected using tools such as TACC Stats, capture t...
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11/13/2016