Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Novi Quadrianto"'
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Externí odkaz:
https://doaj.org/article/4739de2b624849d7a00cf658ddc4e8cd
Autor:
Bradley Butcher, Vincent S. Huang, Christopher Robinson, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Developing data-driven solutions that address real-world problems requires understanding of these problems’ causes and how their interaction affects the outcome–often with only observational data. Causal Bayesian Networks (BN) have been proposed
Externí odkaz:
https://doaj.org/article/943c24973eda4406aae3dba653bab7f8
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
The issue of fairness in machine learning models has recently attracted a lot of attention as ensuring it will ensure continued confidence of the general public in the deployment of machine learning systems. We focus on mitigating the harm incurred b
Externí odkaz:
https://doaj.org/article/c35a55be05b3438694dabb0484ef8902
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7366024985a5673f35baed056e94fa2
https://doi.org/10.1109/igarss46834.2022.9883940
https://doi.org/10.1109/igarss46834.2022.9883940
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
Learning models with discrete latent variables using stochastic gradient descent remains a challenge due to the high variance of gradient estimates. Modern variance reduction techniques mostly consider categorical distributions and have limited appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d60c8adddb9cb08615f7987c2dafd338
https://doi.org/10.1609/aaai.v34i06.6572
https://doi.org/10.1609/aaai.v34i06.6572
Publikováno v:
Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXV
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2022
Lecture Notes in Computer Science ISBN: 9783031198052
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2022
Lecture Notes in Computer Science ISBN: 9783031198052
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a926472eeb0a213fbaf5d16bbc054a64
Publikováno v:
EAAMO
Equity and Access in Algorithms, Mechanisms, and Optimization
Equity and Access in Algorithms, Mechanisms, and Optimization
Positive action is defined within anti-discrimination legislation as voluntary, legal action taken to address an imbalance of opportunity affecting individuals belonging to under-represented groups. Within this theme, we propose a novel algorithmic f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::792618d87fc5e69fb5869ff24434f06d
https://doi.org/10.1145/3465416.3483303
https://doi.org/10.1145/3465416.3483303
Publikováno v:
Climate and Development. 12:677-688
Adaptation finance addresses the effects of climate variability and change on development and physical insecurity. Yet, adaptation has proven difficult to systematically measure and assess, resulting in a lack of coherent and comparable evidence to l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bec42b6e0cdf895180b0fa77d5e57207
https://doi.org/10.1080/17565529.2019.1676689
https://doi.org/10.1080/17565529.2019.1676689
Autor:
Baris Eray, Jeremy Reffin, Bradley Butcher, Jonathan Dolley, James Alexander Robinson, Novi Quadrianto, Fiona Marshall
Transitional peri-urban contexts are frontiers for sustainable development where land-use change involves negotiation and contestation between diverse interest groups. Multiple, complex trade-offs between outcomes emerge which have both negative and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ff45bacf1fb4ba7e710ef36833c01ce
http://sro.sussex.ac.uk/id/eprint/91327/1/Dolley2020_Article_AnalysingTrade-offsAndSynergie.pdf
http://sro.sussex.ac.uk/id/eprint/91327/1/Dolley2020_Article_AnalysingTrade-offsAndSynergie.pdf
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585730
ECCV (26)
Computer Vision – ECCV 2020-16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVI
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2020
ECCV (26)
Computer Vision – ECCV 2020-16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVI
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2020
We propose to learn invariant representations, in the data domain, to achieve interpretability in algorithmic fairness. Invariance implies a selectivity for high level, relevant correlations w.r.t. class label annotations, and a robustness to irrelev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05525323104ba18b340a037a3aff27b5
https://doi.org/10.1007/978-3-030-58574-7_34
https://doi.org/10.1007/978-3-030-58574-7_34