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1

Gambling-machines and the automation of desire

by Albarran Torres, Cesar
Published 2013
“...This paper deals with the relationship between gamblers and Electronic Gaming Machines (EGMs...”

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2

“Peter” snow-milling machines

Published in Polar Record (1961)

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3

Machine learning workflow for ORCA ...

by van Meel, Zoya
Published 2024
“... of ORCA: https://github.com/ZoyavanMeel/ORCA. This entry corresponds to the Machine_learning folder...”

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4

Machine learning workflow for ORCA ...

by van Meel, Zoya
Published 2024
“... of ORCA: https://github.com/ZoyavanMeel/ORCA. This entry corresponds to the Machine_learning folder...”

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5

Machine Learning in KM3NeT

by De Sio Chiara
Published in EPJ Web of Conferences (2019)
“...) and of determining the neutrino mass hierarchy (ORCA). Various Machine Learning techniques, such as Random Forests...”

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6

Distributed Machine Learning and the Semblance of Trust

by Usynin, Dmitrii, Ziller, Alexander, Rueckert, Daniel, Passerat-Palmbach, Jonathan, Kaissis, Georgios
Published 2021
Subjects: “...Machine Learning cs.LG...”

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7

Machine for Saturating Liquids with Carbonic Acid

Published in Scientific American (1899)

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8

Machine Learning on Soccer Player Positions

by Umberto Di Giacomo, Francesco Mercaldo, Antonella Santone, Giovanni Capobianco
Published in International Journal of Decision Support System Technology (2022)
Subjects: “...Machine Learning...”

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9

Machine Learning in KM3NeT

by De Sio, Chiara
Published in EPJ Web of Conferences (2019)
“...) and of determining the neutrino mass hierarchy (ORCA). Various Machine Learning techniques, such as Random Forests...”

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10

Shock machines for testing Arctic robotics

by Popov, A N, Vasiliev, A K, Shtreker, D S, Reshetov, D V, Bryanskiy, A A
Published in IOP Conference Series: Earth and Environmental Science (2020)
“... in special equipment - shock machines. Shock machines are complex highly automated equipment. The development...”

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11

Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning

by Díaz, Iván
Published in Biostatistics (2019)
“...Summary In recent decades, the fields of statistical and machine learning have seen a revolution...”

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12

Predicting ice flow using machine learning

by Min, Yimeng, Mukkavilli, S. Karthik, Bengio, Yoshua
Published 2019
Subjects: “...Machine Learning cs.LG...”

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13

Applying machine learning methods to avalanche forecasting

by Pozdnoukhov, A., Purves, R.S., Kanevski, M.
Published 2008
“... dimensional data. We apply Support Vector Machines to a dataset from Lochaber, Scotland to assess...”

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14

DETECTION OF BACTERIA IN FOODSTUFF BY MACHINE LEARNING METHODS

by A. P. Saenko, V. M. Musalimov, S. Lerm, G. Linss
Published 2014
Subjects: “...machine learning...”

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15

Application of modern drilling machines in transport construction

by Grinchar N.G., Shoshin A.S., Chalova M.Yu.
Published in Nauchno-tekhnicheskiy vestnik Bryanskogo gosudarstvennogo universiteta (2020)
“.... This article discusses the use of modern drilling machines, provides a comparison of a tractor drilling rig...”

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16

Reduced efficiency of the Barents Sea cooling machine

by Skagseth, Øystein, Eldevik, Tor, Årthun, Marius, Asbjørnsen, Helene, Lien, Vidar S., Smedsrud, Lars H.
Published in Nature Climate Change (2020)

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17

Detection of trachoma using machine learning approaches.

by Damien Socia, Christopher J Brady, Sheila K West, R Chase Cockrell
Published in PLOS Neglected Tropical Diseases (2022)

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18

Artificial Intelligence Machine Learning in Marine Hydrodynamics

by Sclavounos, Paul D, Ma, Yu
Published in Volume 9: Offshore Geotechnics; Honoring Symposium for Professor Bernard Molin on Marine and Offshore Hydrodynamics (2018)
“...Artificial Intelligence (AI) Support Vector Machine (SVM) learning algorithms have enjoyed rapid...”

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19

Coding for Large-Scale Distributed Machine Learning

by Ming Xiao, Mikael Skoglund
Published in Entropy (2022)
“... development of coding for large-scale distributed machine learning (DML). With increasing data volumes...”

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20

Counterfactually Fair Regression with Double Machine Learning ...

by Rehill, Patrick
Published 2023
Subjects: “...Machine Learning cs.LG...”

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