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Computational pipelines

onEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation

Luca Longo, Richard B. Reilly

Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques

Miren Hayet-Otero, Fernando García-García, [ ... ], with the COVID-19 & Air Pollution Working Group

Accelerating electrostatic particle-in-cell simulation: A novel FPGA-based approach for efficient plasma investigations

Abedalmuhdi Almomany, Muhammed Sutcu, Babul Salam K. S. M. Kader Ibrahim

pyAKI—An open source solution to automated acute kidney injury classification

Christian Porschen, Jan Ernsting, [ ... ], Thilo von Groote

An efficient control flow validation method using redundant computing capacity of dual-processor architecture

Qingran Wang, Wei Guo, Jizeng Wei

Evaluation of data processing pipelines on real-world electronic health records data for the purpose of measuring patient similarity

Maria Pikoula, Constantinos Kallis, [ ... ], Spiros Denaxas

A hybrid Cycle GAN-based lightweight road perception pipeline for road dataset generation for Urban mobility

Balaji Ganesh Rajagopal, Manish Kumar, [ ... ], Abdelhalim Azam

Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets

Michael E. Kim, Chenyu Gao, [ ... ], The HABS-HD Study Team

Area-time efficient pipelined number theoretic transform for CRYSTALS-Kyber

Ayesha Waris, Arshad Aziz, Bilal Muhammad Khan

Bioinformatics pipeline for the systematic mining genomic and proteomic variation linked to rare diseases: The example of monogenic diabetes

Ksenia G. Kuznetsova, Jakub Vašíček, [ ... ], Marc Vaudel

NGSpop: A desktop software that supports population studies by identifying sequence variations from next-generation sequencing data

Dong-Jun Lee, Taesoo Kwon, [ ... ], Tae-Ho Lee

BetaBuddy: An automated end-to-end computer vision pipeline for analysis of calcium fluorescence dynamics in β-cells

Anne M. Alsup, Kelli Fowlds, Michael Cho, Jacob M. Luber

Data science and automation in the process of theorizing: Machine learning’s power of induction in the co-duction cycle

Daan Kolkman, Gwendolyn K. Lee, Arjen van Witteloostuijn

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