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1000 results for “OpenRefine”
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I am happy to share that our paper on the «#Intrinsic #Dimension for Large-Scale Geometric Learning» was published today at #TMLR (https://openreview.net/pdf?id=85BfDdYMBY)
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I am happy to share that our paper on the «#Intrinsic #Dimension for Large-Scale Geometric Learning» was published today at #TMLR (https://openreview.net/pdf?id=85BfDdYMBY)
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Controllable Generative Modeling via Causal Reasoning
Joey Bose, Ricardo Pio Monti, Aditya Grover
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Controllable Generative Modeling via Causal Reasoning
Joey Bose, Ricardo Pio Monti, Aditya Grover
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Controllable Generative Modeling via Causal Reasoning
Joey Bose, Ricardo Pio Monti, Aditya Grover
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Controllable Generative Modeling via Causal Reasoning
Joey Bose, Ricardo Pio Monti, Aditya Grover
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Controllable Generative Modeling via Causal Reasoning
Joey Bose, Ricardo Pio Monti, Aditya Grover
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A Stochastic Optimization Framework for Fair Risk Minimization
Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami
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A Stochastic Optimization Framework for Fair Risk Minimization
Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami
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A Stochastic Optimization Framework for Fair Risk Minimization
Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami
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A Stochastic Optimization Framework for Fair Risk Minimization
Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami
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A Stochastic Optimization Framework for Fair Risk Minimization
Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami
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Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
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Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
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Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
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Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
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Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
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A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
Action editor: Stephen Becker.
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A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
Action editor: Stephen Becker.
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A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
Action editor: Stephen Becker.
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A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
Action editor: Stephen Becker.
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Taucht ein in die Welt der #Kulturdaten der #StabiBerlin! Das Datencafé des #StabiLabs ist ein offener Raum zum Ausprobieren, Analysieren und Experimentieren. Heute, um 10 Uhr, geht es los mit dem #Crashkurs #OpenRefine und Schnittstellen in 30 Minuten. Alle Infos 👉 https://blog.sbb.berlin/termin/datencafe-2-6-25/
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Taucht ein in die Welt der #Kulturdaten der #StabiBerlin! Das Datencafé des #StabiLabs ist ein offener Raum zum Ausprobieren, Analysieren und Experimentieren. Heute, um 10 Uhr, geht es los mit dem #Crashkurs #OpenRefine und Schnittstellen in 30 Minuten. Alle Infos 👉 https://blog.sbb.berlin/termin/datencafe-2-6-25/
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Taucht ein in die Welt der #Kulturdaten der #StabiBerlin! Das Datencafé des #StabiLabs ist ein offener Raum zum Ausprobieren, Analysieren und Experimentieren. Heute, um 10 Uhr, geht es los mit dem #Crashkurs #OpenRefine und Schnittstellen in 30 Minuten. Alle Infos 👉 https://blog.sbb.berlin/termin/datencafe-2-6-25/
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"How to sanctions-check a spreadsheet using #OpenRefine", by #OpenSanctions: https://www.opensanctions.org/articles/2022-01-10-openrefine-reconciliation/ It looks great, for me it is a good source of motivation to keep working on the #reconciliation API and OpenRefine itself :)
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While I (co-)maintain the OpenRefine for Social Sciences lesson for @thecarpentries, I will be teaching a 2 hour OpenRefine workshop based on #TheProgrammingHistorian's https://doi.org/10.46430/phen0023 in Leiden on 23 June.
See https://www.staff.universiteitleiden.nl/events/2025/06/openrefine for registration info.
It is the first event in the @CDSLeiden Summer Training Week: https://www.staff.universiteitleiden.nl/events/2025/06/summer-training-week
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😍 at long last, the Experimental Publishing Compendium has been unveilled just earlier today as part of the WP6 panel of @copim 's end-of-project conference!
The Compendium is such a fantastic resource that does not want to only be a database of sorts ... More than that, and building on the research conducted by the Experimental Publishing group (aka. COPIM's WP6) comprising @openreflections, @simonxix, @[email protected], @garyhall, @Rebekka_Kie, the Compendium seeks to highlight the rhizomatic connections that exist between tools / platforms, practices (such as collaborative writing, forking, annotating, remixing, etc.), and numerous examples to showcase the interplay between practices and tools / platforms and outputs in the complex and ongoing adventure that experimental publishing can be #OAbooks #ScalingSmall #OpenInfra
Find out more at:
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📢 Clustertreffen CC Authority Files and Community-driven Vocabularies
🎯 Thema: „#Bauwerke in der #GND“
📅 11.3.2026 | 13 Uhr
Im Projekt #GND4C wurden teilautomatische Workflows zur Batch-Einspielung in die GND entwickelt.
🔍 Michael Marchert (#ThULB) berichtet, wie Thüringer Kirchenbauten mithilfe von #Python & #OpenRefine für die GND vorbereitet wurden, inkl. Lessons Learned & Herausforderungen.💻 Zoom (ohne Anmeldung):
https://dainst-org.zoom.us/j/94473310505?pwd=oHIK7sizOhDH8abpHRuwP6kVaV0qlU.1 -
📢 Clustertreffen CC Authority Files and Community-driven Vocabularies
🎯 Thema: „#Bauwerke in der #GND“
📅 11.3.2026 | 13 Uhr
Im Projekt #GND4C wurden teilautomatische Workflows zur Batch-Einspielung in die GND entwickelt.
🔍 Michael Marchert (#ThULB) berichtet, wie Thüringer Kirchenbauten mithilfe von #Python & #OpenRefine für die GND vorbereitet wurden, inkl. Lessons Learned & Herausforderungen.💻 Zoom (ohne Anmeldung):
https://dainst-org.zoom.us/j/94473310505?pwd=oHIK7sizOhDH8abpHRuwP6kVaV0qlU.1 -
📢 Clustertreffen CC Authority Files and Community-driven Vocabularies
🎯 Thema: „#Bauwerke in der #GND“
📅 11.3.2026 | 13 Uhr
Im Projekt #GND4C wurden teilautomatische Workflows zur Batch-Einspielung in die GND entwickelt.
🔍 Michael Marchert (#ThULB) berichtet, wie Thüringer Kirchenbauten mithilfe von #Python & #OpenRefine für die GND vorbereitet wurden, inkl. Lessons Learned & Herausforderungen.💻 Zoom (ohne Anmeldung):
https://dainst-org.zoom.us/j/94473310505?pwd=oHIK7sizOhDH8abpHRuwP6kVaV0qlU.1