Yulia R. Gel

发表

Bootstrap quantification of estimation uncertainties in network degree distributions

Yulia R. Gel, Vyacheslav Lyubchich, L. Leticia Ramirez Ramirez, 2017, Scientific Reports.

Intentional islanding of power grids with data depth

H. Vincent Poor, Yulia R. Gel, Asim Kumer Dey, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Test of fit for a Laplace distribution against heavier tailed alternatives

Yulia R. Gel, Y. Gel, 2010, Comput. Stat. Data Anal..

BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain

Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora, 2020, IJCAI.

A distribution-free m-out-of-n bootstrap approach to testing symmetry about an unknown median

Xingyu Wang, Yulia R. Gel, Vyacheslav Lyubchich, 2016, Comput. Stat. Data Anal..

Assessing the Resilience of the Texas Power Grid Network

H. Vincent Poor, Yulia R. Gel, Asim Kumer Dey, 2019, 2019 IEEE Data Science Workshop (DSW).

Deep Learning for Improved Agricultural Risk Management

Yulia R. Gel, Vyacheslav Lyubchich, Nathaniel K. Newlands, 2019, HICSS.

Forecasting influenza in Hong Kong with Google search queries and statistical model fusion

Kwok-Leung Tsui, Yulia R. Gel, L. Leticia Ramirez Ramirez, 2017, PloS one.

Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking

Yulia R. Gel, Vyacheslav Lyubchich, Yuzhou Chen, 2018, PAKDD.

Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity

James Rineer, Yulia R. Gel, Georgiy Bobashev, 2020, ACM SIGSPATIAL Special.

Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph

Murat Kantarcioglu, Yulia R. Gel, Ekaterina Smirnova, 2019, SDM.

Snowboot: Bootstrap Methods for Network Inference pdf

Yulia R. Gel, Vyacheslav Lyubchich, Yuzhou Chen, 2019, R J..

Blockchain Data Analytics

Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Nonparametric short-term probabilistic forecasting for solar radiation

John Boland, Yulia R. Gel, Adrian Grantham, 2016 .

GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks

Murat Kantarcioglu, Bhavani Thuraisingham, Yulia R. Gel, 2021, IEEE Transactions on Knowledge and Data Engineering.

Comparative Analysis of the Local Observation-Based (LOB) Method and the Nonparametric Regression-Based Method for Gridded Bias Correction in Mesoscale Weather Forecasting

Yulia R. Gel, Y. Gel, 2007 .

A hybrid approach for transmission grid resilience assessment using reliability metrics and power system local network topology

Jie Zhang, Yulia R. Gel, Dorcas Ofori-Boateng, 2020, Sustainable and Resilient Infrastructure.

Forecasting demand for health services: Development of a publicly available toolbox

Yulia R. Gel, Mehdi Jalalpour, Scott Levin, 2015 .

Estimation of river and stream temperature trends under haphazard sampling

Yulia R. Gel, Vyacheslav Lyubchich, Brian R. Gray, 2016, Stat. Methods Appl..

Blockchain: A Graph Primer pdf

Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora, 2017, ArXiv.

LFGCN: Levitating over Graphs with Levy Flights pdf

Konstantin Avrachenkov, Yulia R. Gel, Yuzhou Chen, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain pdf

Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora, 2019, ArXiv.

A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico

Donato Malerba, Annalisa Appice, Yulia R. Gel, 2020, IEEE Access.

ChainNet: Learning on Blockchain Graphs with Topological Features

Murat Kantarcioglu, Bhavani Thuraisingham, Yulia R. Gel, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

The Importance of Checking the Assumptions Underlying Statistical Analysis: Graphical Methods for Assessing Normality

Weiwen Miao, Yulia R. Gel, Joseph L. Gastwirth, 2005 .

Autoregressive frequency detection using Regularized Least Squares

Yulia R. Gel, Bei Chen, Y. Gel, 2010, J. Multivar. Anal..

ROLE OF LOCAL GEOMETRY IN ROBUSTNESS OF POWER GRID NETWORKS

H. Vincent Poor, Yulia R. Gel, Asim Kumer Dey, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Forecasting Bitcoin Price with Graph Chainlets

Murat Kantarcioglu, Yulia R. Gel, Asim Kumer Dey, 2018, PAKDD.

Nonparametric Anomaly Detection on Time Series of Graphs

Yulia R. Gel, Dorcas Ofori-Boateng, Ivor Cribben, 2019, bioRxiv.

A new surveillance and spatio-temporal visualization tool SIMID: SIMulation of Infectious Diseases using random networks and GIS

Yulia R. Gel, Lilia L. Ramírez-Ramírez, Mary Thompson, 2013, Comput. Methods Programs Biomed..

A local factor nonparametric test for trend synchronism in multiple time series

Yulia R. Gel, Vyacheslav Lyubchich, Y. Gel, 2016, J. Multivar. Anal..

CRAD: Clustering with Robust Autocuts and Depth

Xin Huang, Yulia R. Gel, Y. Gel, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Attacklets: Modeling High Dimensionality in Real World Cyberattacks

Bhavani M. Thuraisingham, Murat Kantarcioglu, Yulia R. Gel, 2018, 2018 IEEE International Conference on Intelligence and Security Informatics (ISI).

Robust directed tests of normality against heavy-tailed alternatives

Weiwen Miao, Yulia R. Gel, Joseph L. Gastwirth, 2007, Comput. Stat. Data Anal..

Catching Social Butterflies: Identifying Influential Users of an Event-Based Social Networking Service

Georgiy V. Bobashev, Yulia R. Gel, John Zweck, 2016, 2016 IEEE International Congress on Big Data (BigData Congress).

Ensemble forecasting of the Zika space‐time spread with topological data analysis

Yulia R. Gel, Vyacheslav Lyubchich, Marwah Soliman, 2020, Environmetrics.

Nonparametric Anomaly Detection on Time Series of Graphs

Yulia R. Gel, Dorcas Ofori-Boateng, Ivor Cribben, 2020 .

Motif-based analysis of power grid robustness under attacks

H. Vincent Poor, Yulia R. Gel, Asim Kumer Dey, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Fractional Graph Convolutional Networks (FGCN) for Semi-Supervised Learning

Konstantin Avrachenkov, Yulia R. Gel, Yuzhou Chen, 2019 .

Defending Against Backdoors in Federated Learning with Robust Learning Rate pdf

Yulia R. Gel, Murat Kantarcioglu, Mustafa Safa Özdayi, 2020, AAAI.

Bitcoin Risk Modeling With Blockchain Graphs

Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora, 2018, Economics Letters.

How to Not Get Caught When You Launder Money on Blockchain? pdf

Murat Kantarcioglu, Yulia R. Gel, Cuneyt G. Akcora, 2020, ArXiv.

Unsupervised space–time clustering using persistent homology pdf

Yulia R. Gel, Umar Islambekov, Y. Gel, 2018, Environmetrics.

Fusing data depth with complex networks: Community detection with prior information

Yulia R. Gel, Yahui Tian, Y. Gel, 2019, Comput. Stat. Data Anal..

Fast Community Detection in Complex Networks with a K -Depths Classifier

Yulia R. Gel, Yahui Tian, Y. Gel, 2017 .

Harnessing the power of topological data analysis to detect change points pdf

Yulia R. Gel, Umar Islambekov, Monisha Yuvaraj, 2019, Environmetrics.

Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks

Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora, 2021, ECML/PKDD.

Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning

Michael J. Garay, Yulia R. Gel, Huikyo Lee, 2021, KDD.

Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity pdf

Yulia R. Gel, Huikyo Lee, Ignacio Segovia-Dominguez, 2021, ArXiv.

Modeling Weather-induced Home Insurance Risks with Support Vector Machine Regression

Yulia R. Gel, Vyacheslav Lyubchich, Asim K. Dey, 2021 .

Community detection in complex networks: From statistical foundations to data science applications

Yulia R. Gel, Asim K. Dey, Yahui Tian, 2021, WIREs Computational Statistics.

BScNets: Block Simplicial Complex Neural Networks pdf

Yulia R. Gel, H. Vincent Poor, Yuzhou Chen, 2021, AAAI.

Data Science on Blockchains

Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora, 2021, KDD.

Defending Against Backdoors in Federated Learning with Robust Learning Rate

Murat Kantarcioglu, Yulia R. Gel, Mustafa Safa Özdayi, 2020, AAAI.

Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning

Yulia R. Gel, Yuliya Marchetti, Yuzhou Chen, 2021, AAAI.

TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions

Yulia R. Gel, Huikyo Lee, Ignacio Segovia-Dominguez, 2021, PAKDD.

Topological Machine Learning Methods for Power System Responses to Contingencies

Brian Bush, Yulia R. Gel, Dorcas Ofori-Boateng, 2021, AAAI.

Depth-based classification for relational data with multiple attributes

Yulia R. Gel, Guoyu Guan, Yahui Tian, 2021, J. Multivar. Anal..

Topological Relational Learning on Graphs pdf

Yulia R. Gel, Yuzhou Chen, Baris Coskunuzer, 2021, NeurIPS.

Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting

Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, 2021, ICML.

Smart Vectorizations for Single and Multiparameter Persistence pdf

Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora, 2021, arXiv.org.

Alphacore: Data Depth based Core Decomposition

Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora, 2021, KDD.

Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota

Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora, 2021, WIREs Data Mining Knowl. Discov..

Evaluating the Impact of Climate Change on Dynamics of House Insurance Claims

Yulia R. Gel, Vyacheslav Lyubchich, Sylvia R. Esterby, 2015 .

Estimation of ice thickness on large northern lakes from AMSR-E brightness temperature measurements

Claude R. Duguay, Juha Lemmetyinen, Yulia R. Gel, 2014 .

Can we weather proof our insurance?

Yulia R. Gel, Vyacheslav Lyubchich, Y. Gel, 2017 .

Computationally efficient bootstrap prediction intervals for returns and volatilities in ARCH and GARCH processes

Bovas Abraham, Yulia R. Gel, N. Balakrishna, 2011 .

On detecting non‐monotonic trends in environmental time series: a fusion of local regression and bootstrap

Yulia R. Gel, Vyacheslav Lyubchich, Abdel El-Shaarawi, 2013 .

Using the bootstrap for statistical inference on random graphs

Yulia R. Gel, Vyacheslav Lyubchich, L. Leticia Ramirez Ramirez, 2014, 1402.3647.

A New Test of Symmetry about an Unknown Median

Weiwen Miao, Yulia R. Gel, Joseph L. Gastwirth, 2006 .

Identification of an unstable ARMA equation

Yulia R. Gel, Vladimir Fomin, 2001 .

Political rhetoric through the lens of non‐parametric statistics: are our legislators that different?

Xin Huang, Yulia R. Gel, Iliyan R. Iliev, 2018, Journal of the Royal Statistical Society: Series A (Statistics in Society).

lawstat: An R Package for Law, Public Policy and Biostatistics

Yulia R. Gel, Joseph L. Gastwirth, J. Gastwirth, 2008 .

Leadership and Women in Statistics

Ingram Olkin, Yulia R. Gel, Amanda L. Golbeck, 2015 .

Fast Patchwork Bootstrap for Quantifying Estimation Uncertainties in Sparse Random Networks

Yulia R. Gel, Vyacheslav Lyubchich, 2016 .

Regime Shift Analysis of Lake Baikal Freeze-up and Break-up Dates, and Ice Cover Duration

Claude R. Duguay, Yulia R. Gel, Kazuhiro Noguchi, 2009 .

Multilevel Random Slope Approach and Nonparametric Inference for River Temperature, Under Haphazard Sampling

Yulia R. Gel, Vyacheslav Lyubchich, Brian R. Gray, 2015 .