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