activity
20172026
most citedExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems

68 citations · 82 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2026★ 6 cited

Auto-Configured Explainable Graph Neural Networks for Multi-Site Pollution Prediction

Abdelkader Dairi, Fouzi Harrou, Ying Sun

Accurate particulate matter (PM) prediction is crucial for mitigating air pollution. Graph Neural Networks (GNNs) effectively model spatiotemporal dependencies, but predefined grap…

cs.LG2026

Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework

Wu Wang, Yuang Cheng, Fouzi Harrou +1

Early and reliable detection of Alzheimer's disease (AD) is crucial for timely clinical intervention and improved patient management. It also supports the evaluation of emerging th…

cs.HC2026

Engagement Is Not Transfer: A Withdrawal Study of a Consumer Social Robot with Autistic Children at Home

Yibo Meng, Guangrui Fan, Bingyi Liu +3

This study examines whether engagement with social robots translates into improved human-directed social abilities in autistic children. We conducted an 8-week home-based randomize…

cs.CV2024

Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes

Zuzheng Wang, Fouzi Harrou, Ying Sun +1

Detecting anomalies in crowded video scenes is critical for public safety, enabling timely identification of potential threats. This study explores video anomaly detection within a…

stat.ME2023

Pointwise Data Depth for Univariate and Multivariate Functional Outlier Detection

Cristian F. Jimenez-Varon, Fouzi Harrou, Ying Sun

Data depth is an efficient tool for robustly summarizing the distribution of functional data and detecting potential magnitude and shape outliers. Commonly used functional data dep…

stat.ME2020

Collective Spectral Density Estimation and Clustering for Spatially-Correlated Data

Tianbo Chen, Ying Sun, Mehdi Maadooliat

In this paper, we develop a method for estimating and clustering two-dimensional spectral density functions (2D-SDFs) for spatial data from multiple subregions. We use a common set…

stat.ME2019★ 1 cited

A Semi-Parametric Estimation Method for the Quantile Spectrum with an Application to Earthquake Classification Using Convolutional Neural Network

Tianbo Chen, Ying Sun, Ta-Hsin Li

In this paper, a new estimation method is introduced for the quantile spectrum, which uses a parametric form of the autoregressive (AR) spectrum coupled with nonparametric smoothin…

stat.ME2018★ 7 cited

Functional Outlier Detection and Taxonomy by Sequential Transformations

Wenlin Dai, Tomas Mrkvicka, Ying Sun +1

Functional data analysis can be seriously impaired by abnormal observations, which can be classified as either magnitude or shape outliers based on their way of deviating from the…

cs.DC2017★ 68 cited

ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems

Sameh Abdulah, Hatem Ltaief, Ying Sun +2

We present ExaGeoStat, a high performance framework for geospatial statistics in climate and environment modeling. In contrast to simulation based on partial differential equations…

stat.ME2017

Nonparametric collective spectral density estimation with an application to clustering the brain signals

Mehdi Maadooliat, Ying Sun, Tianbo Chen

In this paper, we develop a method for the simultaneous estimation of spectral density functions (SDFs) for a collection of stationary time series that share some common features.…