Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sina Sheikholeslami"'
Autor:
Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Kraemer, Torbjorn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, George Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos, Markus Muerth, Florian Appel, Andrew Fleming, Andreas Cziferszky
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9038-9063 (2021)
Bringing together a number of cutting-edge technologies that range from storing extremely large volumes of data all the way to developing scalable machine learning and deep learning algorithms in a distributed manner and having them operate over the
Externí odkaz:
https://doaj.org/article/2979794fa9834f72b999401e30c75266
Autor:
Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir Hossein Payberah, Moritz Meister, Robin Andersson, Jim Dowling
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1889 (2022)
This paper introduces the Hopsworks platform to the entire Earth Observation (EO) data community and the Copernicus programme. Hopsworks is a scalable data-intensive open-source Artificial Intelligence (AI) platform that was jointly developed by Logi
Externí odkaz:
https://doaj.org/article/0da81410ad064ed29475012bfab4905f
Publikováno v:
Journal of Advanced Transportation, Vol 2020 (2020)
Road safety has recently been considered an important issue in the country. Single-vehicle accident statistics show the importance of this issue. From a safety viewpoint, drivers need to have a reasonable time window for hazard recognition and reacti
Externí odkaz:
https://doaj.org/article/747fc2155c1e45f881c7cca367bff636
Publikováno v:
Accident Analysis & Prevention. 183:106974
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Autor:
Louis Gommans, Scott Morrison, Sina Sheikholeslami, Wei Gao, H. Neil McMurray, David E. Williams, Geraint Williams, Sonny Ngo
Accelerated cut-edge corrosion performance of commercialized full waterborne coating systems containing enviro-friendly corrosion inhibitors was studied on 55 wt% Al, 44 wt% Zn and 1 wt% Si galvanized steel in 5 wt% NaCl solution at ambient temperatu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f0cc1010958836bfd2ab5587dedecc8
https://cronfa.swan.ac.uk/Record/cronfa57874/Download/57874__20838__e5bafc597ddd43d482fe480349895427.pdf
https://cronfa.swan.ac.uk/Record/cronfa57874/Download/57874__20838__e5bafc597ddd43d482fe480349895427.pdf
Autor:
Jim Dowling, Vladimir Vlassov, Sina Sheikholeslami, Amir H. Payberah, Moritz Meister, Tianze Wang
Publikováno v:
EuroMLSys@EuroSys
Ablation studies provide insights into the relative contribution of different architectural and regularization components to machine learning models' performance. In this paper, we introduce AutoAblation, a new framework for the design and parallel e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0f78e3a04d0c58e6dfebfae0c41815b
Publikováno v:
EACL (Student Research Workshop)
Recommender systems play an important role in e-commerce websites as they improve the customer journey by helping the users find what they want at the right moment. In this paper, we focus on identifying a complementary relationship between the produ
Publikováno v:
DistributedML@CoNEXT
Running extensive experiments is essential for building Machine Learning (ML) models. Such experiments usually require iterative execution of many trials with varying run times. In recent years, Apache Spark has become the de-facto standard for paral
Building and productionizing Machine Learning (ML) models is a process of interdependent steps of iterative code updates, including exploratory model design, hyperparameter tuning, ablation experiments, and model training. Industrial-strength ML invo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea5c8dc7553e05b5bb414b281adc5a66