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19th eScience 2023: Limassol, Cyprus
- 19th IEEE International Conference on e-Science, e-Science 2023, Limassol, Cyprus, October 9-13, 2023. IEEE 2023, ISBN 979-8-3503-2223-1
- Keshav Kaushik, Vinayak Naik:
OCSRL: An Model-Based Reinforcement Learning Approach to Optimize Energy Consumption of Cooling Systems. 1-10 - Deekshitha, Siamak Farshidi, Jason Maassen, Rena Bakhshi, Rob van Nieuwpoort, Slinger Jansen:
FAIRSECO: An Extensible Framework for Impact Measurement of Research Software. 1-10 - Rizbanul Hasan, Shweta Purawat, Catherine Olschanowsky, Ilkay Altintas:
Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility. 1-7 - Hugo Hiden, Paul Watson:
Mobilise-D: Experiences of Processing Large Medical Data Sets Using Cloud Computing Resources. 1-2 - Chronis Kontomaris, Yuandou Wang, Zhiming Zhao:
CWL-FLOps: A Novel Method for Federated Learning Operations at Scale. 1-2 - André Santanchè, Heitor Soares Mattosinho, Marcos Felipe de Menezes Mota, Fagner Leal Pantoja, Gabriel De Freitas Leite, Ana Claudia Tonelli, Fernando Salvetti Valente, Juliana De Castro Solano Martins, Sandro F. Queirós, Tiago de Araujo Guerra Grangeia, Marco Antonio de Carvalho-Filho:
Virtual Patient Platform and Data Space for Sharing, Learning, Discussing, and Researching. 1-10 - João Araújo Castelo Branco, Bruno Torres Marques, Lívia Almada Cruz, Regis Pires Magalhães, José Antônio Fernandes de Macêdo:
Automatic Machine Learning Applied to Electrical Biosignals: A Selective Review. 1-6 - David De Roure, Pip Willcox:
e-Science: The Long View. 1-4 - Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky:
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. 1-10 - Muhammad Adnan, Luk Knapen, Wim Ectors, Lien Aerts:
Enhancing Learning About Climate Change Issues Among Secondary School Students with Citizen Science Tools. 1-8 - Lilin Yu, Ash Charlton, Wilfrid Askins, Melissa Terras, Rosa Filgueira:
frances: Cloud-Based Historical Text Mining with Deep Learning and Parallel Processing. 1-10 - Nina Hosseini-Kivanani, Elena Salobrar-García, Lorena Elvira-Hurtado, Inés López-Cuenca, Rosa de Hoz, José M. Ramírez, Pedro Gil, Mario Salas, Christoph Schommer, Luis A. Leiva:
Better Together: Combining Different Handwriting Input Sources Improves Dementia Screening. 1-7 - Veronica Vidal, Carlos Carrillo, Ana Cortés, Alba Badia, Gara Villalba:
Automatic Green Land-Use Generator for Urban Areas. 1-2 - Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Can Automated Metadata Extraction Make Scientific Data More Navigable? 1-10 - Jennifer Faj, Ivy Peng, Jacob Wahlgren, Stefano Markidis:
Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration: A Case Study with IBM Qiskit Aer, Nvidia Thrust & cuQuantum. 1-10 - Mattia Fortunati, Antonella Galizia:
Pollution Runner: a Serious Game to Promote Awareness Towards Air Pollution. 1-8 - Adam Craig, Anousha Athreya, Carl Taswell:
Example Evaluations of Plagiarism Cases Using FAIR Metrics and the PDP-DREAM Ontology. 1-2 - Bogdan Nicolae, Tanzima Z. Islam, Robert B. Ross, Huub J. J. Van Dam, Kevin Assogba, Polina Shpilker, Mikhail Titov, Matteo Turilli, Tianle Wang, Ozgur O. Kilic, Shantenu Jha, Line C. Pouchard:
Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP. 1-7 - David Sweeney, Alberto Krone-Martins, Peter Tuthill, Richard Scalzo:
Semi-Supervising an Anomalous Universe. 1-2 - Daniel S. Katz, Simon Hettrick:
Research Software Engineering in 2030. 1-2 - Antonio Celesti, Giovanna Sannino, Mario A. Bochicchio, Maria Fazio, Massimo Villari, Fabrizio Celesti, Mirjam Bonanno, Rocco Salvatore Calabrò:
The Tele-Rehabilitaion as a Service (TRaaS) Project: Rationale, Study Design, and Methodology. 1-7 - Johan Hidding:
Entangled, a Bidirectional System for Sustainable Literate Programming. 1-9 - Sweety Mohanty, Daniyal Kazempour, Lavinia Patara, Peer Kröger:
Detection and Tracking of Dynamic Ocean Carbon Uptake Regimes Built Upon Spatial Target-Driver Relationships via Adaptive Hierarchical Clustering. 1-10 - Renan Souza, Tyler J. Skluzacek, Sean R. Wilkinson, Maxim A. Ziatdinov, Rafael Ferreira da Silva:
Towards Lightweight Data Integration Using Multi-Workflow Provenance and Data Observability. 1-10 - David Abramson, Luc Betbeder-Matibet, Stephen Bird, Jake Carroll, Rhys S. Francis, Wojtek Goscinski, Ai-Lin Soo, Garry Swan, Carmel Walsh, Glenn R. Wightwick, J. Max Wilkinson:
Why We Need a Reference Architecture for Research Data. 1-4 - David Banyasz, Sebastian Hofstätter, Allan Hanbury:
Search in Archival Facsimile Documents for Digital History. 1-10 - Sachith Withana, Beth Plale:
CKN: An Edge AI Distributed Framework. 1-10 - George A. Papadopoulos, Rafael Ferreira da Silva, Rosa Filgueira:
Message from the IEEE eScience 2023 Conference Leadership eScience 2023. 1-2 - Frank Elberzhager, Patrick Mennig, Yanick Behrendt-Henn:
Informing on Climate-Friendly Novel Mobility Measures: Development of the Serious Game "MiniLautern" and Analysis of Player Feedback. 1-8 - Justin M. Wozniak, Rajeev Jain, Andreas Wilke, Rylie Weaver, Alexander Partin, Thomas S. Brettin, Rick Stevens:
An Automation Framework for Comparison of Cancer Response Models Across Configurations. 1-10 - Andrew Grote, Eric Lyons, Komal Thareja, George Papadimitriou, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink:
FlyPaw: Optimized Route Planning for Scientific UAVMissions. 1-10 - Tanu Malik:
Reproducible eScience: The Data Containerization Challenge. 1-5 - Neo Chen, Alberto Krone-Martins:
Scalable Infrastructure for Galaxy Image Analysis: I. Measuring Position Angles with Radon Transforms. 1-2 - Romain Égelé, Isabelle Guyon, Venkatram Vishwanath, Prasanna Balaprakash:
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization. 1-10 - Steffen Strohm, Hartwig Buenning, Matthias Renz:
Implementing a FAIR Information System for Archaeology-Related Interdisciplinary Research. 1-2 - Ivannia Gomez Moreno, Isaac Nealey, Daniel Roten, Mai H. Nguyen, Daniel Crawl, Kate O'Laughlin, Melissa Floca, Scott Pokswinski, Ilkay Altintas:
Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification. 1-2 - Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri:
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. 1-4 - Christopher Williams, Rosa Filgueira:
RepoGraph: A Novel Semantic Code Exploration Tool for Python Repositories Based on Knowledge Graphs and Deep Learning. 1-10 - Heribert Pascual, Xavier Masip-Bruin, Albert Alonso, Isabel Blanco:
Analyzing Distinct Neural Network Models for Oxygen Saturation Prediction Towards a Personalized COPD Management. 1-8 - Vasileios Christou, Yuandou Wang, Zhiming Zhao:
Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins. 1-2 - Kate Keahey, Jason Anderson, Mark Powers, Adam Cooper:
Three Pillars of Practical Reproducibility. 1-6 - Frédéric Suter, Rafael Ferreira da Silva, Ana Gainaru, Scott Klasky:
Driving Next-Generation Workflows from the Data Plane. 1-10 - Jinghua Xu, Natalia Minakova, Pablo Ortega Sanchez, Stefan Riezler:
Early Prediction of Sepsis Using Time Series Forecasting. 1-9 - Frédéric Suter:
Accelerating the Design of Scientific Workflows with Simulation-Based Rapid Prototyping. 1-2 - Augustus Ellerm, Mark Gahegan, Benjamin Adams:
LivePublication: The Science Workflow Creates and Updates the Publication. 1-10 - Na Li, Yangjun Zhang, Zhiming Zhao:
A Dense Retrieval System and Evaluation Dataset for Scientific Computational Notebooks. 1-10 - Christina-Athanasia I. Alexandropoulou, Ilias E. Panagiotopoulos, Styliani Kleanthous, George Dimitrakopoulos, Ioannis Constantinou, Elena Politi, Dimitrios Ntalaperas, Xanthi S. Papageorgiou, Charithea Stylianides, Nikos Ioannides, Lakis Palazis, Constantinos S. Pattichis, Andreas S. Panayides:
AI-Enabled Solutions, Explainability and Ethical Concerns for Predicting Sepsis in ICUs: A Systematic Review. 1-9 - Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure:
In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. 1-10 - Ciro Giuseppe De Vita, Gennaro Mellone, Dante D. Sánchez-Gallegos, Giuseppe Coviello, Diego Romano, Marco Lapegna, Angelo Ciaramella:
Citizen Science for the Sea with Information Technologies: An Open Platform for Gathering Marine Data and Marine Litter Detection from Leisure Boat Instruments. 1-9 - Swapna Thorve, Aparna Kishore, Dustin Machi, S. S. Ravi, Madhav V. Marathe:
A Network Synthesis and Analytics Pipeline with Applications to Sustainable Energy in Smart Grid. 1-10 - Anh Duc Vu, Jan Arne Sparka, Ninon De Mecquenem, Timo Kehrer, Ulf Leser, Lars Grunske:
Design by Contract Revisited in the Context of Scientific Data Analysis Workflows. 1-2 - Ilkay Altintas:
From Workflows to Teamflows in eScience: Integrating Collaborative Science, AI, and Computing for Impact at Scale. 1-2 - Ehsan Saeedizade, Roya Taheri, Engin Arslan:
I/O Burst Prediction for HPC Clusters Using Darshan Logs. 1-10 - Robert E. Schuler, Jitin Singla, Brinda Vallat, Kate L. White, Helen M. Berman, Carl Kesselman:
Database Evolution, by Scientists, for Scientists: A Case Study. 1-10 - Zihao Li, Rosa Filgueira:
Mapping the Repository Landscape: Harnessing Similarity with RepoSim and RepoSnipy. 1-10 - Michael Rovatsos, Rosa Filgueira:
Building Lightweight Semantic Search Engines. 1-10 - Kate Keahey, Nick Feamster, Guilherme Martins, Mark Powers, Marc Richardson, Alexis Schrubbe, Michael Sherman:
Discovery Testbed: An Observational Instrument for Broadband Research. 1-4 - Dario Guidotti, Laura Pandolfo, Luca Pulina:
Verifying Neural Networks with SMT: An Experimental Evaluation. 1-2 - Cezar Anicai, Muhammad Zeeshan Shakir:
Federated Learning and Genetic Mutation for Multi-Resident Activity Recognition. 1-6 - Anees Al-Najjar, Nageswara S. V. Rao, Craig Bridges, Sheng Dai:
Normality of I-V Measurements Using ML. 1-2 - Dante D. Sánchez-Gallegos, Diana Carrizales-Espinoza, José Luis González Compeán, Jesús Carretero:
eScience Serverless Data Storage Services in the Edge-Fog-Cloud Continuum. 1-4 - Miguel Conceição, Alberto Krone-Martins, Antonio da Silva:
Emulating Hydrodynamics from Dark Matter 3D Density Fields. 1-2 - Paul Watson, Barry Hodgson:
From eScience to Impact on the Economy and Society. 1-3 - Mirjam Raffaela Bayer, Sören Dethlefsen, Tabea Fry, Peer Kröger:
Enhancing AIS Vessel Trajectories via Trip Detection. 1-2 - Ana Carvalho, David Magalhaes Oliveira, Alberto Krone-Martins, Antonio da Silva:
Symbolic Regression Applied to Cosmology: An Approximate Expression for the Density Perturbation Variance. 1-2 - Dario Guidotti, Laura Pandolfo, Luca Pulina:
Detection of Component Degradation: A Study on Autoencoder-Based Approaches. 1-2 - Harshita Sahni, Hector Carrillo-Cabada, Ekaterina D. Kots, Silvina Caíno-Lores, Jack Marquez, Ewa Deelman, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada:
Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations. 1-10 - Saugata Bose, Guoxin Su:
LexiFuse+: A Unified One-Class Solution for Imbalanced Short-Text Classification. 1-2 - Rujula Yete, Shweta Purawat, Ismael Pérez, Daniel Crawl, Ilkay Altintas:
Automating the Evaluation of Datasets for FAIR and CARE Principles. 1-2 - Anh Duc Vu, Jan Arne Sparka, Ninon De Mecquenem, Timo Kehrer, Ulf Leser, Lars Grunske:
Contract-Driven Design of Scientific Data Analysis Workflows. 1-10 - Andreas Marek, Markus Rampp, Klaus Reuter, Erwin Laure:
Beyond the Fourth Paradigm - the Rise of AI. 1-4 - Irakli O. Chitaia, Roland Sh. Omanadze, Mikheil Rukhaia:
Project Presentation: Recursive Functions and Engineering Probabilistic Ontologies. 1-2 - Kamil Jarosz, Dawid Debowski, Radoslaw Szuma, Lukasz Opiola, Lukasz Dutka, Renata G. Slota, Jacek Kitowski:
Achieving Decentralized Authority for Collaborative Data Sharing with Consensus. 1-10 - Aniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu:
Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography. 1-10 - Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, Bart De Moor:
Client Recruitment for Federated Learning in ICU Length of Stay Prediction. 1-9 - Naeem Ullah, Ivanoe De Falco, Giovanna Sannino:
A Novel Deep Learning Approach for Colon and Lung Cancer Classification Using Histopathological Images. 1-10 - Alok Kamatar, Mansi Sakarvadia, Valérie Hayot-Sasson, Kyle Chard, Ian T. Foster:
Lazy Python Dependency Management in Large-Scale Systems. 1-10 - Mihael Hategan-Marandiuc, André Merzky, Nicholson T. Collier, Ketan Maheshwari, Jonathan Ozik, Matteo Turilli, Andreas Wilke, Justin M. Wozniak, Kyle Chard, Ian T. Foster, Rafael Ferreira da Silva, Shantenu Jha, Daniel E. Laney:
PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs. 1-10 - Ewa Deelman:
How is Artificial Intelligence Changing Science? 1-4 - Carl Kesselman, Robert Schuler, Ian T. Foster:
Let's Put the Science in eScience. 1-3 - Daniel Roten, Lucas A. Wells, Daniel Crawl, Russell Parsons, Anthony Marcozzi, Rodman R. Linn, John Kevin Hiers, Ilkay Altintas:
TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations. 1-10 - Kedi Cao, Nourhan Elfaramawy, Matthias Weidlich, Birte Kehr:
From Program Chains to Exploratory Workflows: PopinSnake for Genomic Insertion Detection. 1-7 - Anudari Batsaikhan, Stephan Hachinger:
A Progressive Web App Template for Citizen Science Projects Involving Spatial Data Collection. 1-6 - Yuhan Gu, Richard O. Sinnott:
Real-Time Vehicle Passenger Detection Through Deep Learning. 1-10 - Christian Pagé, Anne Durif:
A Digital Twin for Climate Extremes Using Artificial Intelligence. 1-2 - Moritz Staudinger, Tobias Hajszan, Tomasz Miksa, Irene Himmelbauer, Daniel Aberer, Andreas Rauber, Wouter Dorigo:
Reproducible Query Processing and Data Citation of in Situ Soil Moisture Data. 1-10 - Manish Parashar, Ilkay Altintas:
Toward Democratizing Access to Science Data: Introducing the National Data Platform. 1-4 - Yuta Namiki, Takeo Hosomi, Hideyuki Tanushi, Akihiro Yamashita, Susumu Date:
A Method for Constructing Research Data Provenance in High-Performance Computing Systems. 1-10 - Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. 1-10 - Stanly Wilson, Kwabena Adu-Duodu, Yinhao Li, Ringo W. H. Sham, Yingli Wang, Ellis Solaiman, Charith Perera, Rajiv Ranjan, Omer F. Rana:
Tracking Material Reuse across Construction Supply Chains. 1-4 - Marco Landt-Hayen, Peer Kröger, Willi Rath, Martin Claus:
Reconstruct Geospatial Data from Ultra Sparse Inputs to Predict Climate Events. 1-10 - Ehsan Saeedizade, Bing Zhang, Engin Arslan:
Demystifying the Performance of Data Transfers in High-Performance Research Networks. 1-11 - Ítalo Sousa de Sena, Chiara Cocco, Vojtech Bruza, Pierre Lenicolais, Saul Crowley, Francesco Pilla:
EbAcraft: Engaging Local Communities in Learning About Ecosystem-Based Adaptation for Coastal Cities in Europe. 1-9 - Gregor von Laszewski, Jacques Phillipe Fleischer, Geoffrey C. Fox, Juri Papay, Samuel Jackson, Jeyan Thiyagalingam:
Templated Hybrid Reusable Computational Analytics Workflow Management with Cloudmesh, Applied to the Deep Learning MLCommons Cloudmask Application. 1-6 - Zuo Huang, Richard O. Sinnott, Krista A. Ehinger:
Truck Speed Detection Through Video Streams. 1-10 - Mariantonietta La Marra, Diederik Blanson Henkemans, Jessica Titocci, Spiros Koulouzis, Ilaria Rosati, Zhiming Zhao:
Integrating R in a Distributed Scientific Workflow via a Jupyter-Based Environment. 1-2 - Carina Heßeling, Jörg Keller, Sebastian Litzinger:
Reversible Network Covert Channel by Payload Modulation in Streams of Decimal Sensor Values. 1-8 - Grazia Veronica Aiosa, Maurizio Palesi, Francesca Sapuppo, Maria Gabriella Xibilia:
Explainable AI-Based Clinical Decision Support System for Obesity Comorbidity Analysis. 1-6 - Scott Perkey, Ana Carvalho, Alberto Krone-Martins:
Using Fourier Coefficients and Wasserstein Distances to Estimate Entropy in Time Series. 1-2 - Beth Plale, Sadia Khan, Alfonso Morales:
Democratization of AI: Challenges of AI Cyberinfrastructure and Software Research. 1-3
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