Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Aomar Osmani"'
Autor:
Massinissa Hamidi, Aomar Osmani
Publikováno v:
Sensors, Vol 21, Iss 21, p 7278 (2021)
In this article, we study activity recognition in the context of sensor-rich environments. In these environments, many different constraints arise at various levels during the data generation process, such as the intrinsic characteristics of the sens
Externí odkaz:
https://doaj.org/article/4b5c84aed66443ad8494dd5dfe04e341
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:7904-7912
In a large domain of classification problems for real applications, like human activity recognition, separable spaces between groups of concepts are easier to learn than each concept alone. This is because the search space biases required to separate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfbaba57b26da37be7438acc93fdf916
https://doi.org/10.1609/aaai.v36i7.20760
https://doi.org/10.1609/aaai.v36i7.20760
Publikováno v:
AI Communications. 34:229-244
Markov Decision Process Models (MDPs) are a powerful tool for planning tasks and sequential decision-making issues. In this work we deal with MDPs with imprecise rewards, often used when dealing with situations where the data is uncertain. In this co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67a24fedcbfb4692c5e4f4e07fcdb602
https://doi.org/10.3233/aic-190632
https://doi.org/10.3233/aic-190632
Autor:
Massinissa Hamidi, Aomar Osmani
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264085
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c20a0606477d8de4881f7496e65f9db4
https://doi.org/10.1007/978-3-031-26409-2_39
https://doi.org/10.1007/978-3-031-26409-2_39
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2f1926588d58d15ed08533f7a91626f
https://doi.org/10.1145/3511808.3557616
https://doi.org/10.1145/3511808.3557616
Publikováno v:
2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64a7833796a58667cb95de279e908eac
https://doi.org/10.1109/ictai56018.2022.00193
https://doi.org/10.1109/ictai56018.2022.00193
Autor:
Massinissa Hamidi, Aomar Osmani
Publikováno v:
Neurocomputing. 444:244-259
The ever-increasing quantities of data generated by internet of things applications bring diverse and rich perspectives about monitored phenomena. This is the case, for example, of applications monitoring continuously human activities from wearable s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84925cd3efb0f49d76fcb94f0dbcfdf0
https://doi.org/10.1016/j.neucom.2020.06.138
https://doi.org/10.1016/j.neucom.2020.06.138
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:9251-9258
The synthesis of materials using the principle of thermogravimetric analysis to discover new anticorrosive paints requires several costly experiments. This paper presents an approach combining empirical data and domain analytical models to reduce the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::069d6cc94c1ecfa58ea46cbc630d0710
https://doi.org/10.1609/aaai.v35i10.17116
https://doi.org/10.1609/aaai.v35i10.17116
Publikováno v:
2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4812b22377b776eb70ba48299e4ee15e
https://doi.org/10.1109/civemsa53371.2022.9853680
https://doi.org/10.1109/civemsa53371.2022.9853680
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f52240fb3128875c6d4b3c0ad7ae53
https://doi.org/10.1109/icassp43922.2022.9746906
https://doi.org/10.1109/icassp43922.2022.9746906