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Items where Author is "Garasto, Stef"

Items where Author is "Garasto, Stef"

Group by: Item Type | Uncontrolled Keywords | No Grouping
Number of items: 20.

big data

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

critical pedagogy

Garasto, Stef and Szabó, Máté (2025) Teaching AI and data ethics in an ‘Ethics and Governance’ Master’s course. Teaching Ethics. ISSN 1544-4031 (Print), 2154-0551 (Online)

data ethics

Garasto, Stef and Szabó, Máté (2025) Teaching AI and data ethics in an ‘Ethics and Governance’ Master’s course. Teaching Ethics. ISSN 1544-4031 (Print), 2154-0551 (Online)

data ethics teaching

Garasto, Stef and Szabó, Máté (2025) Teaching AI and data ethics in an ‘Ethics and Governance’ Master’s course. Teaching Ethics. ISSN 1544-4031 (Print), 2154-0551 (Online)

disentanglement

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

dynamical systems

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

evaluation

Klyshbekova, Maira, Cruz, Gisela Reyes, Bentley, Caitlin, Garasto, Stef, Brown, Amy Aisha, Aicardi, Christine, Ball, Brian, Naiseh, Mohammad and Andrei, Oana (2026) A UK perspective on responsible education for responsible AI: a multidisciplinary review and evaluation framework. Journal of Responsible Technology, 25:100147. ISSN 2666-6596 (Online) (doi:10.1016/j.jrt.2025.100147)

forecasting

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

framework

Klyshbekova, Maira, Cruz, Gisela Reyes, Bentley, Caitlin, Garasto, Stef, Brown, Amy Aisha, Aicardi, Christine, Ball, Brian, Naiseh, Mohammad and Andrei, Oana (2026) A UK perspective on responsible education for responsible AI: a multidisciplinary review and evaluation framework. Journal of Responsible Technology, 25:100147. ISSN 2666-6596 (Online) (doi:10.1016/j.jrt.2025.100147)

generative models

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

labour demand

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

machine learning

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

multidisciplinary review

Klyshbekova, Maira, Cruz, Gisela Reyes, Bentley, Caitlin, Garasto, Stef, Brown, Amy Aisha, Aicardi, Christine, Ball, Brian, Naiseh, Mohammad and Andrei, Oana (2026) A UK perspective on responsible education for responsible AI: a multidisciplinary review and evaluation framework. Journal of Responsible Technology, 25:100147. ISSN 2666-6596 (Online) (doi:10.1016/j.jrt.2025.100147)

online job adverts

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

resources

Klyshbekova, Maira, Cruz, Gisela Reyes, Bentley, Caitlin, Garasto, Stef, Brown, Amy Aisha, Aicardi, Christine, Ball, Brian, Naiseh, Mohammad and Andrei, Oana (2026) A UK perspective on responsible education for responsible AI: a multidisciplinary review and evaluation framework. Journal of Responsible Technology, 25:100147. ISSN 2666-6596 (Online) (doi:10.1016/j.jrt.2025.100147)

responsible AI

Klyshbekova, Maira, Cruz, Gisela Reyes, Bentley, Caitlin, Garasto, Stef, Brown, Amy Aisha, Aicardi, Christine, Ball, Brian, Naiseh, Mohammad and Andrei, Oana (2026) A UK perspective on responsible education for responsible AI: a multidisciplinary review and evaluation framework. Journal of Responsible Technology, 25:100147. ISSN 2666-6596 (Online) (doi:10.1016/j.jrt.2025.100147)

skills

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

system dynamics

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

VAE

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

word embeddings

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

This list was generated on Sat Mar 21 20:51:39 2026 UTC.