Yulia R. Gel - RankMe

106 papers A* 31A 1B 6C 1Misc 2Journal 45Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Multi-Modal Enhanced Graph Transfer Learning for Digital Finance Fraud Detection. WWW Yuxin Liu, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang, Chenguang Yang, Zihao Wang, Yulia R. Gel, Yuzhou Chen
2026	J	`jnl`	Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks. CoRR Roshni Anna Jacob, Prithvi Poddar, Jaidev Goel, Souma Chowdhury, Yulia R. Gel, Jie Zhang
2025	B	`conf`	Bringing Shape to Spatio-Temporal Graph Contrastive Learning. IEEE Big Data Yuzhou Chen, Yulia R. Gel
2025	J	`jnl`	Community detection robustness of graph neural networks. CoRR Jaidev Goel, Pablo Moriano, Ramakrishnan Kannan, Yulia R. Gel
2025	—	`conf`	Few-shot Learning over Graphs Using Topological Prompts. WWW (Companion Volume) Jaidev Goel, Yuzhou Chen, Yulia R. Gel
2025	Misc	`conf`	Fusing Multimodality of Large Language Models and Satellite Imagery via Simplicial Contrastive Learning for Latent Urban Feature Identification and Environmental Application. ICASSP Yuzhou Chen, Jiue-An Yang, Hugo Kyo Lee, Calvin P. Tribby, Tarik Benmarhnia, Marta M. Jankowska, Yulia R. Gel
2025	—	`conf`	LLM-Based Multi-Agent System and Simplicial Self-Supervised Learning Model for Regional Cancer Prevalence Estimation Using Satellite Imagery. SIGSPATIAL/GIS Jiue-An Yang, Yuzhou Chen, Calvin P. Tribby, Huikyo Lee, Loretta Erhunmwunsee, Tarik Benmarhnia, Caroline A. Thompson, Yulia R. Gel, Marta M. Jankowska
2025	B	`conf`	Topological Robust Reinforcement Learning. IEEE Big Data Jaidev Goel, Roshni Anna Jacob, Jie Zhang, Yulia R. Gel
2025	A*	`conf`	Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs. ICLR Yuzhou Chen, Yulia R. Gel
2025	Misc	`conf`	Topology-Informed Pre-training of Graph Neural Networks. ICASSP Peiyu Liang, Yulia R. Gel, Yuzhou Chen
2025	B	`conf`	Understanding the Impact of Environmental Contexts on Lung Cancer with Simplicial Representation Learning and Remote Sensing. IEEE Big Data Jiue-An Yang, Yuzhou Chen, Calvin P. Tribby, Loretta Erhunmwunsee, Caroline A. Thompson, Tarik Benmarhnia, Hugo Kyo Lee, Marta M. Jankowska, Yulia R. Gel
2024	J	`jnl`	EMP: Effective Multidimensional Persistence for Graph Representation Learning. CoRR Ignacio Segovia-Dominguez, Yuzhou Chen, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
2024	B	`conf`	Firecast Zigzag Convolutional Network for Wildfire Prediction. IEEE Big Data Yuzhou Chen, Joel Chacón Castillo, Huikyo Lee, Yulia R. Gel
2024	A*	`conf`	Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao
2024	—	`conf`	Graphical Model-Based Lasso for Weakly Dependent Time Series of Tensors. ECML/PKDD (5) Dorcas Ofori-Boateng, Jaidev Goel, Ivor Cribben, Yulia R. Gel
2024	—	`conf`	Revisiting Link Prediction with the Dowker Complex. PAKDD (2) Jae Won Choi, Yuzhou Chen, José Frías, Joel Chacón Castillo, Yulia R. Gel
2024	A*	`conf`	SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. AAAI Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel
2024	A*	`conf`	Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. AAAI Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel
2024	J	`jnl`	Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. CoRR Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel
2024	A*	`conf`	TopoGCL: Topological Graph Contrastive Learning. AAAI Yuzhou Chen, José Frías, Yulia R. Gel
2024	J	`jnl`	TopoGCL: Topological Graph Contrastive Learning. CoRR Yuzhou Chen, José Frías, Yulia R. Gel
2024	J	`jnl`	When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. CoRR Naheed Anjum Arafat, Debabrota Basu, Yulia R. Gel, Yuzhou Chen
2023	—	`conf`	EMP: Effective Multidimensional Persistence for Graph Representation Learning. LoG Yuzhou Chen, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
2023	A*	`conf`	Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. ICRA Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury
2023	J	`jnl`	Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. CoRR Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury
2023	A*	`conf`	Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu
2023	A*	`conf`	Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract). AAAI Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel
2023	—	`conf`	H ECML/PKDD (5) Yuzhou Chen, Tian Jiang, Yulia R. Gel
2023	J	`jnl`	Seven open problems in applied combinatorics. CoRR Sinan G. Aksoy, Ryan S. Bennink, Yuzhou Chen, José Frías, Yulia R. Gel, Bill Kay, Uwe Naumann, Carlos Ortiz Marrero, Anthony V. Petyuk, Sandip Roy, Ignacio Segovia-Dominguez, Nate Veldt, Stephen J. Young
2023	—	`conf`	Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. PAKDD (1) Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
2023	A*	`conf`	Topological Pooling on Graphs. AAAI Yuzhou Chen, Yulia R. Gel
2023	J	`jnl`	Topological Pooling on Graphs. CoRR Yuzhou Chen, Yulia R. Gel
2023	—	`conf`	United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption. LoG Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Kangkook Jee, Yulia R. Gel
2022	A*	`conf`	BScNets: Block Simplicial Complex Neural Networks. AAAI Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
2022	J	`jnl`	Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota. WIREs Data Mining Knowl. Discov. Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu
2022	A*	`conf`	Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains. NeurIPS Kiarash Shamsi, Friedhelm Victor, Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora
2022	B	`conf`	Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. IEEE Big Data Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
2022	J	`jnl`	Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. CoRR Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
2022	A*	`conf`	Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance. AAAI Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez, Nathaniel K. Newlands, Yulia R. Gel
2022	B	`conf`	Learning on Health Fairness and Environmental Justice via Interactive Visualization. IEEE Big Data Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho
2022	J	`jnl`	Learning on Health Fairness and Environmental Justice via Interactive Visualization. CoRR Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho
2022	A*	`conf`	Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT. NeurIPS Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
2022	J	`jnl`	Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT. CoRR Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
2022	A*	`conf`	TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting. ICLR Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia R. Gel
2022	A*	`conf`	TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. AAAI Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel
2022	A*	`conf`	Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting. NeurIPS Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
2022	—	`conf`	Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning. PAKDD (2) Zhiwei Zhen, Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
2022	A*	`conf`	ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. NeurIPS Andac Demir, Baris Coskunuzer, Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan
2022	J	`jnl`	ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. CoRR Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel, Bulent Kiziltan
2022	—	`conf`	TopoAttn-Nets: Topological Attention in Graph Representation Learning. ECML/PKDD (2) Yuzhou Chen, Elena Sizikova, Yulia R. Gel
2021	A*	`conf`	Alphacore: Data Depth based Core Decomposition. KDD Friedhelm Victor, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu
2021	J	`jnl`	BScNets: Block Simplicial Complex Neural Networks. CoRR Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
2021	J	`jnl`	Blockchain Networks: Data Structures of Bitcoin, Monero, Zcash, Ethereum, Ripple and Iota. CoRR Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel
2021	A*	`conf`	Data Science on Blockchains. KDD Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel
2021	A*	`conf`	Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. AAAI Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel
2021	A*	`conf`	Defending against Backdoors in Federated Learning with Robust Learning Rate. AAAI Mustafa Safa Özdayi, Murat Kantarcioglu, Yulia R. Gel
2021	J	`jnl`	Depth-based classification for relational data with multiple attributes. J. Multivar. Anal. Xu Zhang, Yahui Tian, Guoyu Guan, Yulia R. Gel
2021	A*	`conf`	Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. KDD Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel
2021	J	`jnl`	GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks. IEEE Trans. Knowl. Data Eng. Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu, Vyacheslav Lyubchich, Bhavani Thuraisingham
2021	J	`jnl`	Nonparametric Anomaly Detection on Time Series of Graphs. J. Comput. Graph. Stat. Dorcas Ofori-Boateng, Yulia R. Gel, Ivor Cribben
2021	J	`jnl`	Smart Vectorizations for Single and Multiparameter Persistence. CoRR Baris Coskunuzer, Cuneyt Gurcan Akcora, Ignacio Segovia-Dominguez, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel
2021	—	`conf`	TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions. PAKDD (1) Ignacio Segovia-Dominguez, Zhiwei Zhen, Rishabh Wagh, Huikyo Lee, Yulia R. Gel
2021	—	`conf`	Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks. ECML/PKDD (1) Dorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel
2021	J	`jnl`	Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks. CoRR Dorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Murat Kantarcioglu, Cuneyt Gurcan Akcora, Yulia R. Gel
2021	A*	`conf`	Topological Machine Learning Methods for Power System Responses to Contingencies. AAAI Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel
2021	A*	`conf`	Topological Relational Learning on Graphs. NeurIPS Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel
2021	J	`jnl`	Topological Relational Learning on Graphs. CoRR Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel
2021	J	`jnl`	Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity. CoRR Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael J. Garay, Daniel J. Crichton, Rishabh Wagh, Yulia R. Gel
2021	A*	`conf`	Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. ICML Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
2021	J	`jnl`	Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. CoRR Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
2020	J	`jnl`	A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. IEEE Access Annalisa Appice, Yulia R. Gel, Iliyan Iliev, Vyacheslav Lyubchich, Donato Malerba
2020	A*	`conf`	BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain. IJCAI Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu
2020	J	`jnl`	Defending Against Backdoors in Federated Learning with Robust Learning Rate. CoRR Mustafa Safa Özdayi, Murat Kantarcioglu, Yulia R. Gel
2020	A	`conf`	Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of the Ethereum Graph? SDM Yitao Li, Umar Islambekov, Cuneyt Gurcan Akcora, Ekaterina Smirnova, Yulia R. Gel, Murat Kantarcioglu
2020	J	`jnl`	Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity. ACM SIGSPATIAL Special Georgiy V. Bobashev, Ignacio Segovia-Dominguez, Yulia R. Gel, James Rineer, Sarah Rhea, Hui Sui
2020	J	`jnl`	How to Not Get Caught When You Launder Money on Blockchain? CoRR Cuneyt Gurcan Akcora, Sudhanva Purusotham, Yulia R. Gel, Mitchell Krawiec-Thayer, Murat Kantarcioglu
2020	A*	`conf`	LFGCN: Levitating over Graphs with Levy Flights. ICDM Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov
2020	J	`jnl`	LFGCN: Levitating over Graphs with Levy Flights. CoRR Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov
2019	—	`conf`	Assessing the Resilience of the Texas Power Grid Network. DSW Dorcas Ofori-Boateng, Asim Kumer Dey, Yulia R. Gel, Binghui Li, Jie Zhang, H. Vincent Poor
2019	J	`jnl`	BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain. CoRR Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu
2019	A*	`conf`	ChainNet: Learning on Blockchain Graphs with Topological Features. ICDM Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu, Umar D. Islambekov, Yahui Tian, Bhavani Thuraisingham
2019	J	`jnl`	ChainNet: Learning on Blockchain Graphs with Topological Features. CoRR Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Umar D. Islambekov, Murat Kantarcioglu, Yahui Tian, Bhavani Thuraisingham
2019	—	`conf`	Deep Learning for Improved Agricultural Risk Management. HICSS Nathaniel K. Newlands, Azar Ghahari, Yulia R. Gel, Vyacheslav Lyubchich, Tahir Mahdi
2019	J	`jnl`	Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph. CoRR Yitao Li, Umar Islambekov, Cuneyt Gurcan Akcora, Ekaterina Smirnova, Yulia R. Gel, Murat Kantarcioglu
2019	J	`jnl`	Fusing data depth with complex networks: Community detection with prior information. Comput. Stat. Data Anal. Yahui Tian, Yulia R. Gel
2019	J	`jnl`	Harnessing the power of Topological Data Analysis to detect change points in time series. CoRR Umar Islambekov, Monisha Yuvaraj, Yulia R. Gel
2019	J	`jnl`	Snowboot: Bootstrap Methods for Network Inference. CoRR Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati
2019	J	`jnl`	Unsupervised Space-Time Clustering using Persistent Homology. CoRR Umar Islambekov, Yulia R. Gel
2018	C	`conf`	Attacklets: Modeling High Dimensionality in Real World Cyberattacks. ISI Cuneyt Gurcan Akcora, Jonathan Z. Bakdash, Yulia R. Gel, Murat Kantarcioglu, Laura R. Marusich, Bhavani Thuraisingham
2018	A*	`conf`	Blockchain Data Analytics. ICDM Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel
2018	—	`conf`	Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking. PAKDD (1) Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship
2018	—	`conf`	Forecasting Bitcoin Price with Graph Chainlets. PAKDD (3) Cuneyt Gurcan Akcora, Asim Kumer Dey, Yulia R. Gel, Murat Kantarcioglu
2018	—	`conf`	Role of Local Geometry in Robustness of Power Grid Networks. GlobalSIP Umar Islambekov, Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor
2018	J	`jnl`	Snowboot: Bootstrap Methods for Network Inference. R J. Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati
2017	J	`jnl`	Blockchain: A Graph Primer. CoRR Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu
2017	A*	`conf`	CRAD: Clustering with Robust Autocuts and Depth. ICDM Xin Huang, Yulia R. Gel
2017	—	`conf`	Intentional islanding of power grids with data depth. CAMSAP Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor
2017	—	`conf`	Motif-based analysis of power grid robustness under attacks. GlobalSIP Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor
2016	J	`jnl`	A distribution-free m-out-of-n bootstrap approach to testing symmetry about an unknown median. Comput. Stat. Data Anal. Vyacheslav Lyubchich, Xingyu Wang, Andrew Heyes, Yulia R. Gel
2016	J	`jnl`	A local factor nonparametric test for trend synchronism in multiple time series. J. Multivar. Anal. Vyacheslav Lyubchich, Yulia R. Gel
2016	—	`conf`	Catching Social Butterflies: Identifying Influential Users of an Event-Based Social Networking Service. BigData Congress Jonathan Popa, Kusha Nezafati, Yulia R. Gel, John Zweck, Georgiy V. Bobashev
2016	J	`jnl`	Estimation of river and stream temperature trends under haphazard sampling. Stat. Methods Appl. Brian R. Gray, Vyacheslav Lyubchich, Yulia R. Gel, James T. Rogala, Dale M. Robertson, Xiaoqiao Wei
2013	J	`jnl`	A new surveillance and spatio-temporal visualization tool SIMID: SIMulation of Infectious Diseases using random networks and GIS. Comput. Methods Programs Biomed. Lilia L. Ramírez-Ramírez, Yulia R. Gel, Mary E. Thompson, Eileen de Villa, Matt McPherson
2010	J	`jnl`	Autoregressive frequency detection using Regularized Least Squares. J. Multivar. Anal. Bei Chen, Yulia R. Gel
2010	J	`jnl`	Test of fit for a Laplace distribution against heavier tailed alternatives. Comput. Stat. Data Anal. Yulia R. Gel
2007	J	`jnl`	Robust directed tests of normality against heavy-tailed alternatives. Comput. Stat. Data Anal. Yulia R. Gel, Weiwen Miao, Joseph L. Gastwirth