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Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study

Referentgranskad
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DOI
10.3390/make4030028
Mahadevan, Ananth; Mathioudakis, Michael
Machine learning and knowledge extraction2022Publicationer information ikon

Dynamic response of buried pipelines in randomly structured soil

Referentgranskad
DOI
10.1016/j.soildyn.2019.105873
Manolis, George D.; Stefanou, George; Markou, Athanasios A.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING2020Publicationer information ikon

Optimal Routeing of Pipelines

Referentgranskad
Särkkä, P.; Pohto, E.
GIM International1999Publicationer information ikon

Automatic generation of pipelines into a 3D industrial process model

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DOI
10.1109/ACCESS.2017.2774835
Sierla, Seppo A.; Karhela, Tommi A.; Vyatkin, Valeriy
IEEE access2017Publicationer information ikon

Challenges and opportunities of automated data pipelines for environmental sustainability applications in industrial manufacturing

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DOI
10.1016/j.procir.2024.01.089
Schmitt, Thomas; Bejarano Rodriguez, Ronal; Assuad, Carla
Procedia CIRP2024Publicationer information ikon

Power and Pipelines (Ground Systems)

Referentgranskad
Pirjola, R; Viljanen, A; Amm, O; Pulkkinen, A
In: Proceedings of the European Space Weather Workshop, ESTEC, Noordwijk, Holland, 1998, p 45 - 521999Publicationer information ikon

Designing and comparing cleaning pipelines for TMS-EEG data A theoretical overview and practical example

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DOI
10.1016/j.jneumeth.2022.109494
Rogasch, Nigel C.; Biabani, Mana; Mutanen, Tuomas P.
Journal of Neuroscience Methods2022Publicationer information ikon

Scaling and Maintaining Machine Learning Pipelines

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Mahadevan, Ananth
Series of publications A / Department of Computer Science, University of Helsinki.2024Publicationer information ikon

Industrial Data Pipelines for Manufacturing Applications

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DOI
10.1016/j.procir.2023.08.013
Siivonen, Jere; Naakka, Kari; Salminen, Katri; Kärki, Topi; Aho, Markus
Procedia CIRP2023Publicationer information ikon

A Telluric Current Simulator for Pipelines

Boteler, D. H.; Trichtchenko, L; Blais, C; Pirjola, R
Proceedings of CORROSION 2013 Conference & Expo, NACE International, The Corrosion Society, Orlando,...2013

Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study

Referentgranskad
Öppen tillgång
DOI
10.3390/make4030028
2022

Dynamic response of buried pipelines in randomly structured soil

Referentgranskad
DOI
10.1016/j.soildyn.2019.105873
2020

Optimal Routeing of Pipelines

Referentgranskad
1999

Automatic generation of pipelines into a 3D industrial process model

Referentgranskad
Öppen tillgång
DOI
10.1109/ACCESS.2017.2774835
2017

Challenges and opportunities of automated data pipelines for environmental sustainability applications in industrial manufacturing

Referentgranskad
Öppen tillgång
DOI
10.1016/j.procir.2024.01.089
2024

Power and Pipelines (Ground Systems)

Referentgranskad
1999

Designing and comparing cleaning pipelines for TMS-EEG data A theoretical overview and practical example

Referentgranskad
Öppen tillgång
DOI
10.1016/j.jneumeth.2022.109494
2022

Scaling and Maintaining Machine Learning Pipelines

Öppen tillgång
2024

Industrial Data Pipelines for Manufacturing Applications

Referentgranskad
Öppen tillgång
DOI
10.1016/j.procir.2023.08.013
2023

A Telluric Current Simulator for Pipelines

2013