Y. Gel

发表

Catching uncertainty of wind: A blend of sieve bootstrap and regime switching models for probabilistic short-term forecasting of wind speed

S. Ahmed, Y. Gel, V. Lyubchich, 2016 .

Calibrated Probabilistic Mesoscale Weather Field Forecasting

Tilmann Gneiting, Adrian E Raftery, Yulia R. Gel, 2004 .

Banded regularization of autocovariance matrices in application to parameter estimation and forecasting of time series

P. Bickel, Y. Gel, 2011 .

Strong consistency of the regularized least-squares estimates of infinite autoregressive models

A. Barabanov, Y. Gel, 2007 .

Influenza Forecasting with Google Flu Trends

Y. Gel, T. Igusa, A. Dugas, 2013, PloS one.

Blockchain analytics for intraday financial risk modeling

Murat Kantarcioglu, Y. Gel, M. Dixon, 2019, Digital Finance.

Robust Lagrange multiplier test for detecting ARCH/GARCH effect using permutation and bootstrap

Y. Gel, Bei Chen, 2012 .

The impact of Levene’s test of equality of variances on statistical theory and practice

J. Gastwirth, W. Miao, Y. Gel, 2009, 1010.0308.

A robust modification of the Jarque–Bera test of normality

J. Gastwirth, Y. Gel, 2008 .

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

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

Bootstrap-based tests for trends in hydrological time series, with application to ice phenology data

C. Duguay, Y. Gel, Kimihiro Noguchi, 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 .

Pan-Arctic linkages between snow accumulation and growing-season air temperature, soil moisture and vegetation

John C. Lin, C. Duguay, Y. Gel, 2013 .

Insurance risk assessment in the face of climate change: Integrating data science and statistics

Y. Gel, V. Lyubchich, N. Newlands, 2019, WIREs Computational Statistics.

2-14-2013 Influenza Forecasting with Google Flu Trends

Y. Gel, T. Igusa, A. Dugas, 2017 .

Developing and Assessing E-Learning Techniques for Teaching Forecasting

Y. Gel, R. O'Hara Hines, Kimihiro Noguchi, 2014 .

Regularized Autoregressive Multiple Frequency Estimation

Y. Gel, Bei Chen, 2011 .

On the role of local blockchain network features in cryptocurrency price formation

Murat Kantarcioglu, Y. Gel, C. Akcora, 2020, Canadian Journal of Statistics.

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

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

Quantifying the impact of Covid-19 on stock market: An analysis from multi-source information

Y. Gel, K. Das, A. K. Dey, 2020 .

Convergence of the least-squares method with a polynomial regularizer for the infinite-dimensional autoregression equation

A. Barabanov, Y. Gel, 2005 .

Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks

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

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

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

Convergence analysis of the least-squares estimates for infinte AR models

A. Barabanov, Y. Gel, 2002 .

Influenza Forecasting with Google Flu Trends

Y. Gel, T. Igusa, A. Dugas, 2013, PloS one.

Building Bridges Between Geoscience and Data Science through Benchmark Data Sets

Mary C. Hill, Anuj Karpatne, Imme Ebert-Uphoff, 2017 .

Climate Change, Cryosphere, and Atmospheric Chemistry

A. Brenning, Y. Gel, 2013 .

TopoAttn-Nets: Topological Attention in Graph Representation Learning

Y. Gel, Elena Sizikova, Yuzhou Chen, 2022, ECML/PKDD.

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery

Y. Gel, B. Kızıltan, Andac Demir, 2022, bioRxiv.

Conversations with Gábor J. Székely

Y. Gel, E. Peña, H. Wang, 2023, Statistical Science.

TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting

Y. Gel, Yuzhou Chen, Baris Coskunuzer, 2022, ICLR.

Learning on Health Fairness and Environmental Justice via Interactive Visualization

Y. Gel, A. Nayeem, Isaac Cho, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Topological clustering of multilayer networks

H. Poor, Y. Gel, V. Lyubchich, 2021, Proceedings of the National Academy of Sciences.

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).

CRAD: Clustering with Robust Autocuts and Depth

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

Autoregressive frequency detection using Regularized Least Squares

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

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

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

Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks

Murat Kantarcioglu, Y. Gel, C. Akcora, 2021, ECML/PKDD.

Depth-based classification for relational data with multiple attributes

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

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 .

Unsupervised space–time clustering using persistent homology pdf

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

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, 2019, bioRxiv.

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).

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).

Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes

Y. Gel, V. Lyubchich, N. Newlands, 2019, North American Actuarial Journal.

Deep Learning for Improved Agricultural Risk Management

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

Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA.

Vyacheslav Lyubchich, Marwah Soliman, Yulia R Gel, 2019, Epidemics.

Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT

Murat Kantarcioglu, Y. Gel, C. Akcora, 2022, NeurIPS.

Alphacore: Data Depth based Core Decomposition

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

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..

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

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

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.

What network motifs tell us about resilience and reliability of complex networks

H Vincent Poor, Yulia R Gel, Asim K Dey, 2019, Proceedings of the National Academy of Sciences.

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).

Women in Statistics

Y. Gel, A. Golbeck, L. L. R. Ramirez, 2017 .

Blockchain analytics for intraday financial risk modeling

Murat Kantarcioglu, Y. Gel, M. Dixon, 2019, Digital Finance.

Bitcoin Risk Modeling With Blockchain Graphs

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

A computational method for computing an Alzheimer's disease progression score; experiments and validation with the ADNI data set

Andrew Lang, Yulia Gel, Bruno M. Jedynak, 2015, Neurobiology of Aging.

Topological Pooling on Graphs

Y. Gel, Yuzhou Chen, 2023, AAAI.

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.

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.

Riding down the Bay: Space‐time clustering of ecological trends

Xin Huang, Vyacheslav Lyubchich, Iliyan R. Iliev, 2018 .

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..

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

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

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

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

Blockchain Data Analytics

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

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

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

Defending Against Backdoors in Federated Learning with Robust Learning Rate pdf

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

Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance

Y. Gel, N. Newlands, I. Segovia-Dominguez, 2022, AAAI.

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

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

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 .

Combining Global and Local Grid-Based Bias Correction for Mesoscale Numerical Weather Prediction Models

Adrian E. Raftery, Tilmann Gneiting, Yulia Gel, 2003 .

From Delaunay triangulation to topological data analysis: generation of more realistic synthetic power grid networks

Y. Gel, A. K. Dey, Stephen J. Young, 2023, Journal of the Royal Statistical Society Series A: Statistics in Society.

Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains

Murat Kantarcioglu, Y. Gel, C. Akcora, 2022, NeurIPS.

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).

Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets

Y. Gel, M. Heleno, Yuzhou Chen, 2022, 2022 IEEE International Conference on Big Data (Big Data).

The effect of dependence between observations on the proper interpretation of statistical evidence

J. Gastwirth, W. Miao, Y. Gel, 2008 .

Topological Machine Learning Methods for Power System Responses to Contingencies

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

LFGCN: Levitating over Graphs with Levy Flights pdf

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

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

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

Robust directed tests of normality against heavy-tailed alternatives

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

Estimation of river and stream temperature trends under haphazard sampling

D. Robertson, Y. Gel, V. Lyubchich, 2016, Stat. Methods Appl..

BScNets: Block Simplicial Complex Neural Networks pdf

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

Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting

H. Poor, Y. Gel, Yuzhou Chen, 2022, NeurIPS.

Bootstrap quantification of estimation uncertainties in network degree distributions

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

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.

Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction

Y. Gel, Souma Chowdhury, B. Smyth, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Blockchain: A Graph Primer pdf

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

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..

Combination of Levene-type tests and a finite-intersection method for testing equality of variances against ordered alternatives

Y. Gel, Kimihiro Noguchi, 2010 .

A New Test of Symmetry about an Unknown Median

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

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

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

A conversation about implicit bias

N. Jewell, J. Kettenring, J. Singer, 2016 .

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

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

Topological Relational Learning on Graphs pdf

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

Forecasting Bitcoin Price with Graph Chainlets

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

Smart Vectorizations for Single and Multiparameter Persistence pdf

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

Using the bootstrap for statistical inference on random graphs

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

ChainNet: Learning on Blockchain Graphs with Topological Features

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

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

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

Learning Power Grid Outages with Higher-Order Topological Neural Networks

Roshni Anna Jacob, Y. Gel, J. Zhang, 2023, IEEE Transactions on Power Systems.

Snowboot: Bootstrap Methods for Network Inference pdf

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

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).

Seven open problems in applied combinatorics

Sinan G. Aksoy, Carlos Ortiz Marrero, U. Naumann, 2023, Journal of Combinatorics.

A Sieve Bootstrap Two-Sample t-Test Under Serial Correlation

Y. Gel, Bei Chen, 2011, Journal of biopharmaceutical statistics.

Can we weather proof our insurance?

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

Nonparametric short-term probabilistic forecasting for solar radiation

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

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

Murat Kantarcioglu, Y. Gel, C. Akcora, 2020, IJCAI.

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

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

Test of fit for a Laplace distribution against heavier tailed alternatives

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

Smart Vectorizations for Single and Multiparameter Persistence

Murat Kantarcioglu, Y. Gel, C. Akcora, 2021, ArXiv.

TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning

Y. Gel, Y. Marchetti, Yuzhou Chen, 2022, AAAI.

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

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

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

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

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.

Defending Against Backdoors in Federated Learning with Robust Learning Rate

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

University of Waterloo Department of Statistics and Actuarial Science Computationally Efficient Bootstrap Prediction Intervals for Returns and Volatilities in Arch and Garch Processes

B. Abraham, N. Balakrishna, Y. Gel, 2022 .

A simplicial epidemic model for COVID-19 spread analysis

M. Marathe, Y. Gel, Yuzhou Chen, 2023, Proceedings of the National Academy of Sciences of the United States of America.

Recent Advances and Trends in Time Series Analysis: Nonlinear Time Series, High Dimensional Inference and Beyond

Hao Yu, Yulia Gel, Y. Gel, 2014 .

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

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