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When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
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2024
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Naheed Anjum Arafat
Debabrota Basu
Yulia R. Gel
Yuzhou Chen
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TopoGCL: Topological Graph Contrastive Learning
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2024
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Yuzhou Chen
José María Martínez Frías
Yulia R. Gel
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TopoGCL: Topological Graph Contrastive Learning
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2024
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Yuzhou Chen
Jose Frias
Yulia R. Gel
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Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
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2024
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Baris Coskunuzer
Ignacio Segovia-Domínguez
Yuzhou Chen
Yulia R. Gel
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Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
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2024
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Baris Coskunuzer
Ignacio Segovia-Domínguez
Yuzhou Chen
Yulia R. Gel
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EMP: Effective Multidimensional Persistence for Graph Representation Learning
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2024
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Ignacio Segovia-Domínguez
Yuzhou Chen
Cüneyt Gürcan Akçora
Zhiwei Zhen
Murat Kantarcıoğlu
Yulia R. Gel
Baris Coskunuzer
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Graphical Model-Based Lasso for Weakly Dependent Time Series of Tensors
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2024
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Dorcas Ofori-Boateng
Jaidev Goel
Ivor Cribben
Yulia R. Gel
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A simplicial epidemic model for COVID-19 spread analysis
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2023
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Yuzhou Chen
Yulia R. Gel
Madhav Marathe
H. Vincent Poor
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Topological Pooling on Graphs
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2023
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Yuzhou Chen
Yulia R. Gel
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Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction
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2023
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Steve Paul
Wenyuan Li
Brian Smyth
Yuzhou Chen
Yulia R. Gel
Souma Chowdhury
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Conversations with Gábor J. Székely
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2023
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Yulia R. Gel
Edsel A. Peña
Huixia Wang
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Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction
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2023
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Steve Paul
Wenyuan Li
Brian Smyth
Yuzhou Chen
Yulia R. Gel
Souma Chowdhury
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Seven open problems in applied combinatorics
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2023
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Sinan G. Aksoy
Ryan S. Bennink
Yuzhou Chen
José María Martínez Frías
Yulia R. Gel
Bill Kay
Uwe Naumann
Carlos Ortiz Marrero
Anthony V. Petyuk
Sandip Roy
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Topological Pooling on Graphs
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2023
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Yuzhou Chen
Yulia R. Gel
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Seven open problems in applied combinatorics
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2023
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Sinan G. Aksoy
Ryan S. Bennink
Yuzhou Chen
José María Martínez Frías
Yulia R. Gel
Bill Kay
Uwe Naumann
Carlos Ortiz Marrero
Anthony V. Petyuk
Sandip Roy
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Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets
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2022
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Yuzhou Chen
Tian Jiang
Miguel Heleno
Alexandre Moreira
Yulia R. Gel
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Learning on Health Fairness and Environmental Justice via Interactive Visualization
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2022
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Abdullah‐Al‐Raihan Nayeem
Ignacio Segovia-Domínguez
Huikyo Lee
Dongyun Han
Yuzhou Chen
Zhiwei Zhen
Yulia R. Gel
Isaac Cho
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ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery
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2022
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Andaç Demir
Baris Coskunuzer
Ignacio Segovia-Domínguez
Yuzhou Chen
Yulia R. Gel
Bülent Kızıltan
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BScNets: Block Simplicial Complex Neural Networks
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2022
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Yuzhou Chen
Yulia R. Gel
H. Vincent Poor
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ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery
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2022
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Andaç Demir
Baris Coskunuzer
Ignacio Segovia-Domínguez
Yuzhou Chen
Yulia R. Gel
Bülent Kızıltan
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Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets
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2022
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Yuzhou Chen
Tian Jiang
Miguel Heleno
Alexandre Moreira
Yulia R. Gel
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Learning on Health Fairness and Environmental Justice via Interactive Visualization
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2022
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Abdullah‐Al‐Raihan Nayeem
Ignacio Segovia-Domínguez
Huikyo Lee
Dongyun Han
Yuzhou Chen
Zhiwei Zhen
Yulia R. Gel
Isaac Cho
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Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT
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2022
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Cüneyt Gürcan Akçora
Murat Kantarcıoğlu
Yulia R. Gel
Baris Coskunuzer
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BScNets: Block Simplicial Complex Neural Networks
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2021
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Yuzhou Chen
Yulia R. Gel
H. Vincent Poor
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Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota
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2021
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Cüneyt Gürcan Akçora
Yulia R. Gel
Murat Kantarcıoğlu
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Topological Relational Learning on Graphs
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2021
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Yuzhou Chen
Baris Coskunuzer
Yulia R. Gel
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Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity.
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2021
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Ignacio Segovia-Domínguez
Huikyo Lee
Zhiwei Zhen
Yuzhou Chen
M. J. Garay
Daniel Crichton
Rishabh Wagh
Yulia R. Gel
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Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks
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2021
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Dorcas Ofori-Boateng
Ignacio Segovia-Domínguez
Murat Kantarcıoğlu
Cüneyt Gürcan Akçora
Yulia R. Gel
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Defending against Backdoors in Federated Learning with Robust Learning Rate
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2021
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Mustafa Safa Özdayi
Murat Kantarcıoğlu
Yulia R. Gel
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Blockchain Networks: Data Structures of Bitcoin, Monero, Zcash, Ethereum, Ripple and Iota
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2021
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Cüneyt Gürcan Akçora
Murat Kantarcıoğlu
Yulia R. Gel
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Modeling Weather-induced Home Insurance Risks with Support Vector Machine Regression
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2021
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Asim Kumer Dey
Vyacheslav Lyubchich
Yulia R. Gel
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Smart Vectorizations for Single and Multiparameter Persistence
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2021
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Baris Coskunuzer
Cüneyt Gürcan Akçora
Ignacio Segovia-Domínguez
Zhiwei Zhen
Murat Kantarcıoğlu
Yulia R. Gel
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Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
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2021
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Yuzhou Chen
Ignacio Segovia-Domínguez
Yulia R. Gel
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Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks
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2021
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Dorcas Ofori-Boateng
Ignacio Segovia-Domínguez
Cüneyt Gürcan Akçora
Murat Kantarcıoğlu
Yulia R. Gel
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Topological Relational Learning on Graphs
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2021
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Yuzhou Chen
Baris Coskunuzer
Yulia R. Gel
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Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity
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2021
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Ignacio Segovia-Domínguez
Huikyo Lee
Zhiwei Zhen
Yuzhou Chen
M. J. Garay
Daniel Crichton
Rishabh Wagh
Yulia R. Gel
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Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks
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2021
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Dorcas Ofori-Boateng
Ignacio Segovia-Domínguez
Murat Kantarcıoğlu
Cüneyt Gürcan Akçora
Yulia R. Gel
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Blockchain Networks: Data Structures of Bitcoin, Monero, Zcash, Ethereum, Ripple and Iota
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2021
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Cüneyt Gürcan Akçora
Murat Kantarcıoğlu
Yulia R. Gel
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BScNets: Block Simplicial Complex Neural Networks
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2021
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Yuzhou Chen
Yulia R. Gel
H. Vincent Poor
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PDF
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LFGCN: Levitating over Graphs with Levy Flights
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2020
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Yuzhou Chen
Yulia R. Gel
Konstantin Avrachenkov
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Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity
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2020
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Georgiy Bobashev
Ignacio Segovia-Domínguez
Yulia R. Gel
James Rineer
Sarah Rhea
Hui Sui
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Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity
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2020
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Georgiy Bobashev
Ignacio Segovia-Domínguez
Yulia R. Gel
James Rineer
Sarah Rhea
Hui Sui
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Ensemble Forecasting of the Zika Space-TimeSpread with Topological Data Analysis
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2020
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Marwah Soliman
Vyacheslav Lyubchich
Yulia R. Gel
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Defending against Backdoors in Federated Learning with Robust Learning Rate
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2020
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Mustafa Safa Özdayi
Murat Kantarcıoğlu
Yulia R. Gel
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Ensemble forecasting of the Zika space‐time spread with topological data analysis
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2020
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Marwah Soliman
Vyacheslav Lyubchich
Yulia R. Gel
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Tools for Biostatistics, Public Policy, and Law [R package lawstat version 3.4]
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2020
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Joseph L. Gastwirth
Yulia R. Gel
W. L. Wallace Hui
Vyacheslav Lyubchich
Weiwen Miao
Kimihiro Noguchi
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Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of the Ethereum Graph?
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2020
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Yitao Li
Umar Islambekov
Cüneyt Gürcan Akçora
Ekaterina Smirnova
Yulia R. Gel
Murat Kantarcıoğlu
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How to Not Get Caught When You Launder Money on Blockchain?
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2020
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Cüneyt Gürcan Akçora
Sudhanva Purusotham
Yulia R. Gel
Mitchell P. Krawiec‐Thayer
Murat Kantarcıoğlu
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Ensemble Forecasting of the Zika Space-TimeSpread with Topological Data Analysis
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2020
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Marwah Soliman
Vyacheslav Lyubchich
Yulia R. Gel
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Defending against Backdoors in Federated Learning with Robust Learning Rate
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2020
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Mustafa Safa Özdayi
Murat Kantarcıoğlu
Yulia R. Gel
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Change‐point methods for environmental monitoring and assessment
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2019
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Venkata K. Jandhyala
Yulia R. Gel
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ChainNet: Learning on Blockchain Graphs with Topological Features
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2019
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Nazmiye Ceren Abay
Cüneyt Gürcan Akçora
Yulia R. Gel
Murat Kantarcıoğlu
Umar Islambekov
Yahui Tian
Bhavani Thuraisingham
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Harnessing the power of Topological Data Analysis to detect change points in time series.
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2019
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Umar Islambekov
Monisha Yuvaraj
Yulia R. Gel
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Unsupervised Space-Time Clustering using Persistent Homology
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2019
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Umar Islambekov
Yulia R. Gel
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ChainNet: Learning on Blockchain Graphs with Topological Features
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2019
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Nazmiye Ceren Abay
Cüneyt Gürcan Akçora
Yulia R. Gel
Umar Islambekov
Murat Kantarcıoğlu
Yahui Tian
Bhavani Thuraisingham
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Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA
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2019
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Marwah Soliman
Vyacheslav Lyubchich
Yulia R. Gel
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Fusing data depth with complex networks: Community detection with prior information
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2019
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Yahui Tian
Yulia R. Gel
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BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain
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2019
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Cüneyt Gürcan Akçora
Yitao Li
Yulia R. Gel
Murat Kantarcıoğlu
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Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph
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2019
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Yitao Li
Umar Islambekov
Cüneyt Gürcan Akçora
Ekaterina Smirnova
Yulia R. Gel
Murat Kantarcıoğlu
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Unsupervised Space-Time Clustering using Persistent Homology
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2019
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Umar Islambekov
Yulia R. Gel
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ChainNet: Learning on Blockchain Graphs with Topological Features
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2019
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Nazmiye Ceren Abay
Cüneyt Gürcan Akçora
Yulia R. Gel
Umar Islambekov
Murat Kantarcıoğlu
Yahui Tian
Bhavani Thuraisingham
|
+
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Harnessing the power of Topological Data Analysis to detect change points in time series
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2019
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Umar Islambekov
Monisha Yuvaraj
Yulia R. Gel
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PDF
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Unsupervised space–time clustering using persistent homology
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2018
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Umar Islambekov
Yulia R. Gel
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PDF
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Bitcoin risk modeling with blockchain graphs
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2018
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Cüneyt Gürcan Akçora
Matthew Dixon
Yulia R. Gel
Murat Kantarcıoğlu
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Bitcoin Risk Modeling with Blockchain Graphs
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2018
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Cüneyt Gürcan Akçora
Matthew Dixon
Yulia R. Gel
Murat Kantarcıoğlu
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PDF
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Bitcoin Risk Modeling With Blockchain Graphs
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2018
|
Cüneyt Gürcan Akçora
Matthew Dixon
Yulia R. Gel
Murat Kantarcıoğlu
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Bitcoin Risk Modeling with Blockchain Graphs
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2018
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Cüneyt Gürcan Akçora
Matthew Dixon
Yulia R. Gel
Murat Kantarcıoğlu
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PDF
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Motif-based analysis of power grid robustness under attacks
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2017
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Asim Kumer Dey
Yulia R. Gel
H. Vincent Poor
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PDF
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CRAD: Clustering with Robust Autocuts and Depth
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2017
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Xin Huang
Yulia R. Gel
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Blockchain: A Graph Primer
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2017
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Cüneyt Gürcan Akçora
Yulia R. Gel
Murat Kantarcıoğlu
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Motif-based analysis of power grid robustness under attacks
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2017
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Asim Kumer Dey
Yulia R. Gel
H. Vincent Poor
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Women in Statistics
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2017
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Amanda L. Golbeck
L. Leticia Ramirez Ramirez
Yulia R. Gel
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Motif-based analysis of power grid robustness under attacks
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2017
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Asim Kumer Dey
Yulia R. Gel
H. Vincent Poor
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+
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Blockchain: A Graph Primer
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2017
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Cüneyt Gürcan Akçora
Yulia R. Gel
Murat Kantarcıoğlu
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EXTENDING LKN CLIMATE REGIONALIZATION WITH SPATIAL REGULARIZATION: AN APPLICATION TO EPIDEMIOLOGICAL RESEARCH
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2016
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Alexander Liss
Yulia R. Gel
Alexandra V. Kulinkina
Elena N. Naumova
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A distribution-free <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.gif" display="inline" overflow="scroll"><mml:mi>m</mml:mi></mml:math>-out-of-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" display="inline" overflow="scroll"><mml:mi>n</mml:mi></mml:math> bootstrap approach to testing symmetry about an unknown median
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2016
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Vyacheslav Lyubchich
Xingyu Wang
Andrew Heyes
Yulia R. Gel
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snowboot: Bootstrap Methods for Network Inference
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2015
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Leticia Ramirez-Ramirez
Kusha Nezafati
Yuzhou Chen
Vyacheslav Lyubchich
Yulia R. Gel
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Using the bootstrap for statistical inference on random graphs
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2015
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Mary E. Thompson
L. Leticia Ramirez Ramirez
Vyacheslav Lyubchich
Yulia R. Gel
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Discussion of “High-dimensional autocovariance matrices and optimal linear prediction”
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2015
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Yulia R. Gel
Wilfredo Palma
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Developing and Assessing E-Learning Techniques for Teaching Forecasting
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2014
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Yulia R. Gel
R. J. O’Hara Hines
He Chen
Kimihiro Noguchi
Vivian Schoner
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On detecting non‐monotonic trends in environmental time series: a fusion of local regression and bootstrap
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2013
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Vyacheslav Lyubchich
Yulia R. Gel
A El-Shaarawi
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A new surveillance and spatio-temporal visualization tool SIMID: SIMulation of Infectious Diseases using random networks and GIS
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2013
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L. Leticia Ramírez-Ramírez
Yulia R. Gel
Mary E. Thompson
Eileen de Villa
Matt McPherson
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Influenza Forecasting with Google Flu Trends
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2013
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Andrea Dugas
Mehdi Jalalpour
Yulia R. Gel
Scott Levin
Fred Torcaso
Takeru Igusa
Richard E. Rothman
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nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments
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2012
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Kimihiro Noguchi
Yulia R. Gel
Edgar Brunner
Frank Konietschke
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Robust Lagrange multiplier test for detecting ARCH/GARCH effect using permutation and bootstrap
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2012
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Yulia R. Gel
Bei Chen
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<b>nparLD</b>: An<i>R</i>Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments
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2012
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Kimihiro Noguchi
Yulia R. Gel
Edgar Brunner
Frank Konietschke
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A Sieve Bootstrap Two-Sample <i>t</i>-Test Under Serial Correlation
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2011
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Bei Chen
Yulia R. Gel
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Banded Regularization of Autocovariance Matrices in Application to Parameter Estimation and Forecasting of Time Series
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2011
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Peter J. Bickel
Yulia R. Gel
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Combination of Levene-type tests and a finite-intersection method for testing equality of variances against ordered alternatives
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2010
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Kimihiro Noguchi
Yulia R. Gel
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Test of fit for a Laplace distribution against heavier tailed alternatives
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2009
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Yulia R. Gel
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The Impact of Levene’s Test of Equality of Variances on Statistical Theory and Practice
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2009
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Joseph L. Gastwirth
Yulia R. Gel
Weiwen Miao
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The impact of Levene’s test of equality of variances on statistical theory and practice
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2009
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Joseph L. Gastwirth
Yulia R. Gel
Weiwen Miao
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<b>lawstat</b>: An<i>R</i>Package for Law, Public Policy and Biostatistics
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2008
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W. L. Wallace Hui
Yulia R. Gel
Joseph L. Gastwirth
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A robust modification of the Jarque–Bera test of normality
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2007
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Yulia R. Gel
Joseph L. Gastwirth
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A NEW TEST OF SYMMETRY ABOUT AN UNKNOWN MEDIAN
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2006
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Weiwen Miao
Yulia R. Gel
Joseph L. Gastwirth
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Robust directed tests of normality against heavy-tailed alternatives
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2006
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Yulia R. Gel
Weiwen Miao
Joseph L. Gastwirth
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lawstat: Tools for Biostatistics, Public Policy, and Law
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2006
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Joseph L. Gastwirth
Yulia R. Gel
W. L. Wallace Hui
Vyacheslav Lyubchich
Weiwen Miao
Kimihiro Noguchi
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Strong consistency of the regularized least-squares estimates of infinite autoregressive models
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2006
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Yulia R. Gel
Andrey Barabanov
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Levene's Family of Tests for Equality of Variances: historical perspective, impact and modiflcations
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1960
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Yulia R. Gel
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