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08/19/2023
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks
Voucher abuse detection is an important anomaly detection problem in E-c...
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10/12/2022
Pattern Characterization Using Topological Data Analysis: Application to Piezo Vibration Striking Treatment
Quantifying patterns in visual or tactile textures provides important in...
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09/12/2022
Topological Measures for Pattern quantification of Impact Centers in Piezo Vibration Striking Treatment (PVST)
Surface texture influences wear and tribological properties of manufactu...
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04/12/2022
Automated Surface Texture Analysis via Discrete Cosine Transform and Discrete Wavelet Transform
Surface roughness and texture are critical to the functional performance...
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10/15/2021
Adversarial Attacks on ML Defense Models Competition
Due to the vulnerability of deep neural networks (DNNs) to adversarial e...
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08/18/2021
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
Domain shift happens in cross-domain scenarios commonly because of the w...
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08/13/2021
Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition
Mining dense subgraphs where vertices connect closely with each other is...
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06/10/2021
dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System
With the rising demand of smart mobility, ride-hailing service is gettin...
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04/30/2021
Tensor Random Projection for Low Memory Dimension Reduction
Random projections reduce the dimension of a set of vectors while preser...
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09/17/2020
FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching
DRAM Main memory is a performance bottleneck for many applications due t...
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07/20/2020
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation
Primary angle closure glaucoma (PACG) is the leading cause of irreversib...
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02/10/2020
Medusa: Blockchain Powered Log Storage System
Blockchain is one of the most heavily invested technologies in recent ye...
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01/11/2020
AE-OT-GAN: Training GANs from data specific latent distribution
Though generative adversarial networks (GANs) areprominent models to gen...
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11/18/2019
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series
Real-world clinical time series data sets exhibit a high prevalence of m...
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04/24/2019
Low-Rank Tucker Approximation of a Tensor From Streaming Data
This paper describes a new algorithm for computing a low-Tucker-rank app...
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03/05/2019
Measuring and Controlling Bias for Some Bayesian Inferences and the Relation to Frequentist Criteria
A common concern with Bayesian methodology in scientific contexts is tha...
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02/08/2019
Mode Collapse and Regularity of Optimal Transportation Maps
This work builds the connection between the regularity theory of optimal...
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09/16/2018