eScience

Publications

2021

17th IEEE International Conference on eScience, eScience 2021, Innsbruck, Austria, September 20-23, 2021 eScience (2021)

2019

Jiue-An Yang, Jiayi Wang, Supun Nakandala, Arun Kumar, Marta M. Jankowska
Predicting Eating Events in Free Living Individuals. eScience (2019)
Reinhard Gentz, Sean Peisert, Joshua Boverhof, Daniel Gunter
SPARCS: Stream-Processing Architecture Applied in Real-Time Cyber-Physical Security. eScience (2019)
Junan Guo, Subhasis Dasgupta, Amarnath Gupta
Multi-model Investigative Exploration of Social Media Data with BOUTIQUE: A Case Study in Public Health. eScience (2019)
Renan Souza, Marta Mattoso, Leonardo Azevedo, Raphael Thiago, Elton F. de Souza Soares, Marcelo Nery dos Santos, Marco A. S. Netto, Emilio Vital Brazil, Renato Cerqueira, Patrick Valduriez
Efficient Runtime Capture of Multiworkflow Data Using Provenance. eScience (2019)
Mark A. Musen
Making Data FAIR Requires More than Just Principles: We Need Knowledge Technologies. eScience (2019)
Jiue-An Yang, Jiayi Wang, Supun Nakandala, Arun Kumar, Marta M. Jankowska
Predicting Eating Events in Free Living Individuals. eScience (2019)
David Benham, Sandra Gesing
HUBzero© Goes OneSciencePlace: The Next Community-Driven Steps for Providing Software-as-a-Service. eScience (2019)
Shiladitya Dutta, Pooja Kowshik, Adarsh Ambati, Sathvik Nori, S. Koby Taswell, Carl Taswell
Managing Scientific Literature with Software from the PORTAL-DOORS Project. eScience (2019)
Jason Leigh, Krishna Bharadwaj, Arthur Nishimoto, Lance Long, Jason Haga, John Burns, Francis Cristobal, Jared McLean, Roberto Pelayo, Mahdi Belcaid, Dylan Kobayashi, Nurit Kirshenbaum, Troy Wooton, Alberto Gonzalez, Luc Renambot, Andrew E. Johnson, Maxine D. Brown, Andrew Burks
Usage Patterns of Wideband Display Environments In e-Science Research, Development and Training. eScience (2019)
Beth Plale
Transparency by Design in eScience Research. eScience (2019)
Dmitry Chirkin, Juan Carlos Díaz-Vélez, Claudio Kopper, Alexander R. Olivas, Benedikt Riedel, Martin Rongen, David Schultz, Jakob van Santen
Photon Propagation using GPUs by the IceCube Neutrino Observatory. eScience (2019)
Eric Lyons, Anirban Mandal, George Papadimitriou, Cong Wang, Komal Thareja, Paul Ruth, Juan J. Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink
Toward a Dynamic Network-Centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing. eScience (2019)
Florian Berberich, Janina Liebmann, Jean-Philippe Nominé, Oriol Pineda, Philippe Segers, Veronica Teodor
European HPC Landscape. eScience (2019)
Ravi Shankar, Nayani T. Ilangakoon, Aaron Orenstein, Floriana Ciaglia, Nancy F. Glenn, Catherine Olschanowsky
AdaptLidarTools: A Full-Waveform Lidar Processing Suite. eScience (2019)
Chreston A. Miller, Christa Miller
Timing is Everything: Identifying Diverse Interaction Dynamics in Scenario and Non-Scenario Meetings. eScience (2019)
Hongxiao Gan, Jinglan Zhang, Michael Towsey, Anthony Truskinger, Debra Stark, Berndt van Rensburg, Yuefeng Li, Paul Roe
Recognition of Frog Chorusing with Acoustic Indices and Machine Learning. eScience (2019)
Reinhard Gentz, Héctor García Martín, Edward Baidoo, Sean Peisert
Workflow Automation in Liquid Chromatography Mass Spectrometry. eScience (2019)
Sara Shakeri, Valentina Maccatrozzo, Lourens Veen, Rena Bakhshi, Leon Gommans, Cees de Laat, Paola Grosso
Modeling and Matching Digital Data Marketplace Policies. eScience (2019)
Chen Wang, Luigi Marini, Chieh-Li Chin, Nickolas Vance, Curtis Donelson, Pascal Meunier, Joseph T. Yun
Social Media Intelligence and Learning Environment: an Open Source Framework for Social Media Data Collection, Analysis and Curation. eScience (2019)
Sebastian Colutto, Philip Kahle, Günter Hackl, Günter Mühlberger
Transkribus. A Platform for Automated Text Recognition and Searching of Historical Documents. eScience (2019)
Tomasz Wiktorski, Yuri Demchenko, Oleg Chertov
Data Science Model Curriculum Implementation for Various Types of Big Data Infrastructure Courses. eScience (2019)
Alessandro Spinuso, Malcolm P. Atkinson, Federica Magnoni
Active Provenance for Data-Intensive Workflows: Engaging Users and Developers. eScience (2019)
Rosa Filgueira, Mariona Coll Ardanuy, Giovanni Colavizza, James Hetherington, Melissa Terras, Michael Jackson, Anna Roubícková, Amrey Krause, Ruth Ahnert, Tessa Hauswedell, Julianne Nyhan, David Beavan, Timothy Hobson
defoe: A Spark-Based Toolbox for Analysing Digital Historical Textual Data. eScience (2019)
Martin Bobák, Balázs Somosköi, Mara Graziani, Matti Heikkurinen, Maximilian Höb, Jan Schmidt, Ladislav Hluchý, Adam Belloum, Reginald Cushing, Jan Meizner, Piotr Nowakowski, Viet D. Tran, Ondrej Habala, Jason Maassen
Reference Exascale Architecture. eScience (2019)
Yogesh Simmhan, Malati Hegde, Rajesh Zele, Sachchida N. Tripathi, Srijith Nair, Sumit K. Monga, Ravi Sahu, Kuldeep Dixit, Ronak Sutaria, Brijesh Mishra, Anamika Sharma, Anand SVR
SATVAM: Toward an IoT Cyber-Infrastructure for Low-Cost Urban Air Quality Monitoring. eScience (2019)
Volodimir Begy, Joeri Hermans, Martin Barisits, Mario Lassnig, Erich Schikuta
Simulating Data Access Profiles of Computational Jobs in Data Grids. eScience (2019)
Ibrahim Burak Özyurt, Jeffrey S. Grethe
Iterative Document Retrieval via Deep Learning Approaches for Biomedical Question Answering. eScience (2019)
Katrina Fenlon
Interactivity, Distributed Workflows, and Thick Provenance: A Review of Challenges Confronting Digital Humanities Research Objects. eScience (2019)
Michela Taufer, Ewa Deelman, Stephen Thomas, Michael R. Wyatt II, Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Harel Weinstein, Michel A. Cuendet, Trilce Estrada
Characterizing In Situ and In Transit Analytics of Molecular Dynamics Simulations for Next-Generation Supercomputers. eScience (2019)
Bernhard Gößwein, Tomasz Miksa, Andreas Rauber, Wolfgang Wagner
Data Identification and Process Monitoring for Reproducible Earth Observation Research. eScience (2019)
Denny Vrandecic
Describing Datasets in Wikidata. eScience (2019)
Danny Rorabaugh, Mario Guevara, Ricardo M. Llamas, Joy Kitson, Rodrigo Vargas, Michela Taufer
SOMOSPIE: A Modular SOil MOisture SPatial Inference Engine Based on Data-Driven Decisions. eScience (2019)
Shinji Shimojo, Susumu Date
A Vision Towards Future eScience. eScience (2019)
Cas Fahrenfort, Zhiming Zhao
Effective Digital Object Access and Sharing Over a Networked Environment using DOIP and NDN. eScience (2019)
Yoshiki Takahashi, Masato Asahara, Kazuyuki Shudo
A Framework for Model Search Across Multiple Machine Learning Implementations. eScience (2019)
Shantenu Jha, Geoffrey C. Fox
Understanding ML Driven HPC: Applications and Infrastructure. eScience (2019)
Christian Pagé, Wim Som de Cerff, Maarten Plieger, Alessandro Spinuso, Xavier Pivan
Ease Access to Climate Simulations for Researchers: IS-ENES Climate4Impact. eScience (2019)
Elias el Khaldi Ahanach, Spiros Koulouzis, Zhiming Zhao
Contextual Linking between Workflow Provenance and System Performance Logs. eScience (2019)
Karan Vahi, Michael Zink, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons
Custom Execution Environments with Containers in Pegasus-Enabled Scientific Workflows. eScience (2019)
Saba Amiri, Sara Salimzadeh, Adam S. Z. Belloum
A Survey of Scalable Deep Learning Frameworks. eScience (2019)
Susanne Benz, Hogeun Park, Jiaxin Li, Daniel Crawl, Jessica Block, Mai H. Nguyen, Ilkay Altintas
Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery. eScience (2019)
Yuri Demchenko, Zhiming Zhao, Jayachander Surbiryala, Spiros Koulouzis, Zeshun Shi, Xiaofeng Liao, Jelena Gordiyenko
Teaching DevOps and Cloud Based Software Engineering in University Curricula. eScience (2019)
Iraklis A. Klampanos, Federica Magnoni, Emanuele Casarotti, Christian Pagé, Mike Lindner, Andreas Ikonomopoulos, Vangelis Karkaletsis, Athanasios Davvetas, André Gemünd, Malcolm P. Atkinson, Antonios Koukourikos, Rosa Filgueira, Amrey Krause, Alessandro Spinuso, Angelos Charalambidis
DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud. eScience (2019)
Joaquín Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
Toward an Elastic Data Transfer Infrastructure. eScience (2019)
Sofiane Bendoukha, Tobias Weigel, Sandro Fiore, Donatello Elia
Enabling Server-Based Computing and FAIR Data Sharing with the ENES Climate Analytics Service. eScience (2019)
Kyle Chard, Thomas Thelen, Matthew J. Turk, Craig Willis, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor
Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational Analyses. eScience (2019)
Kyle Chard, Ian T. Foster
Serverless Science for Simple, Scalable, and Shareable Scholarship. eScience (2019)
Richard Isdahl, Odd Erik Gundersen
Out-of-the-Box Reproducibility: A Survey of Machine Learning Platforms. eScience (2019)
15th International Conference on eScience, eScience 2019, San Diego, CA, USA, September 24-27, 2019 eScience (2019)