… Over the past 30 years attendance has grown from a few students the first year to now include city-wide attendance and television coverage from multiple stations. The term “Rube …
M Lodge, C Hood - The Regulator–Regulatee Relationship in High-Hazard …, 2024 - Springer
… thirtyyears. It does so by reflecting in particular on the intellectual journey in teaching and research on the subject in the London School of Economics and Political Science (LSE) over …
K De Jong, E Hart - Evolutionary Computation, 2023 - direct.mit.edu
… with other approaches in machinelearning (ML) and other … in the field over the last thirty years, and suggest fruitful avenues … lens of the work published in ECJ over the past thirtyyears. …
… , highlighting the relatively limited conception of machinelearning these articles seem to … of the stages of machinelearning. Here, we highlight aspects of machinelearning that have yet …
J Laporte, H Dolou, J Avis, O Arino - The International …, 2020 - journals.lib.unb.ca
… With the advent of Landsat-8 and Sentinel-2 time series, this supervised approach can be substantially simplified by machinelearning methods, such as Random Forest10, trained to …
M Yang, Q Bao, Y Shen, Q Qu - Journal of traffic and transportation …, 2023 - Elsevier
… To sum up, by a bibliometric overview of research on driving behavior active intervention over the past thirtyyears, this paper clarifies the development skeleton of this research field, …
CJ Chiang, YW Yang, SL You, MS Lai, CJ Chen - Jama, 2013 - jamanetwork.com
… We assessed the 30-year outcomes of the immunization program. … From 1977-1980 to 2001-2004, the age- and sex-adjusted rate ratios for individuals aged 5 to 29 years decreased by …
… in over thirtyyears of research. Innovative machine and deep-learning techniques with which … Machinelearning for the legal domain prevails in the JURIX 2018 program, with traditional …
… Furthermore, machinelearning algorithms such as random … Additionally, the integration of machinelearning models with … Overall, the combination of machinelearning techniques and …