Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Gentry Atkinson"'
Publikováno v:
Bioengineering, Vol 11, Iss 4, p 299 (2024)
Machine learning tasks involving biomedical signals frequently grapple with issues such as limited data availability, imbalanced datasets, labeling complexities, and the interference of measurement noise. These challenges often hinder the optimal tra
Externí odkaz:
https://doaj.org/article/17408beabbb2486db2d655665256ae13
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031341106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec8834f8ad9db7084c502ff114336920
https://doi.org/10.1007/978-3-031-34111-3_34
https://doi.org/10.1007/978-3-031-34111-3_34
Publikováno v:
2022 IEEE International Conference on Networking, Architecture and Storage (NAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::945a5b49e98198415c5b8437322add10
https://doi.org/10.1109/nas55553.2022.9925287
https://doi.org/10.1109/nas55553.2022.9925287
This work presents a semi-automated labeling system for Human Activity Recognition (HAR) datasets. A 1D-CNN trained on scripted activities is used to generate predicted labels for free-form walking segments. Labels below a confidence threshold are ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e48e54c3dd26c0f1f02815cfc4f280d
https://doi.org/10.3233/aise220066
https://doi.org/10.3233/aise220066
Autor:
Vangelis Metsis, Gentry Atkinson
Publikováno v:
PETRA
Accurately detecting instances in datasets that have been mislabeled is a difficult problem with several imperfect solutions. Hand-reviewing labels is a reliable but expensive approach. Time series datasets present additional challenges because they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc9de40762ad73bdf44f26954b3d0a4a
https://doi.org/10.1145/3453892.3453900
https://doi.org/10.1145/3453892.3453900
Autor:
Vangelis Metsis, Gentry Atkinson
Publikováno v:
IFIP Advances in Information and Communication Technology
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.479-493, ⟨10.1007/978-3-030-79150-6_38⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030791490
AIAI
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.479-493, ⟨10.1007/978-3-030-79150-6_38⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030791490
AIAI
Part 13: Machine Learning; International audience; Mislabeled data in large datasets can quickly degrade the performance of machine learning models. There is a substantial base of work on how to identify and correct instances in data with incorrect a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1718fc8c44181dd356d7310e46cc22c8
https://hal.inria.fr/hal-03287653/document
https://hal.inria.fr/hal-03287653/document
Autor:
Gentry Atkinson, Vangelis Metsis
Publikováno v:
UbiComp/ISWC Adjunct
Reliably labeled datasets are crucial to the performance of supervised learning methods. Time-series data pose additional challenges. Data points lying on borders between classes can be mislabeled due to perception limitations of human labelers. Sens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54fbdbe4307313bff7bf18f0f17e68b6
https://doi.org/10.1145/3410530.3414366
https://doi.org/10.1145/3410530.3414366
Publikováno v:
Electronic Workshops in Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4b0a108ebef80d20a866709d46d93d4
https://doi.org/10.14236/ewic/eva2014.56
https://doi.org/10.14236/ewic/eva2014.56
Publikováno v:
EVA
A fundamental goal of museums is to engage their visitors. For the uninitiated visitor, especially for those in an academic museum or gallery, art can be challenging, intimidating, and difficult to understand. Museums have historically used text-base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6682521cf43c5ae40a8007d64c1a0ea
https://doi.org/10.14236/ewic/eva2014.27
https://doi.org/10.14236/ewic/eva2014.27