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Showing 201 - 220 of 10,279

201

Oflib: Facilitating Operations with and on Optical Flow Fields in Python
Ravasio, Claudio ; Da Cruz, Lyndon ; Bergeles, Christos

Computer Science - Compu...
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202

Hands-on Matplotlib : Learn Plotting and Visualizations with Python 3
Ashwin Pajankar ; Ashwin Pajankar

Python (Computer program... Information visualizatio...
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203

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204

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206

Investigating the Role of Data Preprocessing for Load Demand Forecasters in Smart Household Applications
Naware, Dipanshu ; Sachdev, Hira Singh ; Chourey, Saransh
2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T) Power, Control and Computing Technologies (ICPC2T), 2024 Third International Conference on. :333-338 Jan, 2024

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207

PyRadar: Towards Automatically Retrieving and Validating Source Code Repository Information for PyPI Packages
Gao, Kai ; Xu, Weiwei ; Yang, Wenhao ; et al.
Proceedings of the ACM on Software Engineering. 1(FSE):2608-2631

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208

Retracted on March 14, 2023: Cross-lingual transfer learning for statistical type inference
Li, Zhiming ; Xie, Xiaofei ; Li, Haoliang ; et al.
Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis. :239-250

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209

direpack: A Python 3 package for state-of-the-art statistical dimensionality reduction methods
Emmanuel Jordy Menvouta ; Sven Serneels ; Tim Verdonck
SoftwareX, Vol 21, Iss , Pp 101282- (2023)

Dimensionality reduction Projection pursuit Sufficient dimension red... Robust statistics Energy statistics Statistical learning
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210

Workshop 3 - Text Data Analytics / NLP with Python
Zheng, David
SDSU Data Science Symposium

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211

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213

Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages
Boeschoten, Laura ; van Driel, Irene I. ; Oberski, Daniel L. ; et al.
Companion Publication of the 2020 International Conference on Multimodal Interaction. :523-523

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214

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215

Getting Started with Python 3 and Jupyter Notebook
Pajankar, Ashwin ; Joshi, Aditya
Hands-on Machine Learning with Python ; page 3-21 ; ISBN 9781484279205 9781484279212

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216

Deep Learning in Semantic Segmentation of Rust in Images
Duy, Le Dinh ; Anh, Ngo Tuan ; Son, Ngo Tung ; et al.
Proceedings of the 2020 9th International Conference on Software and Computer Applications. :129-132

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218

Prediction of fluid oil and gas volumes of shales with a deep learning model and its application to the Bakken and Marcellus shales.
Şen, Şamil
Scientific Reports. 12/2/2022, Vol. 12 Issue 1, p1-9. 9p.

NORTH America SHALE oils OIL shales DEEP learning PETROLEUM industry SHALE
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219

Parallel Software for Million-scale Exact Kernel Regression
Chen, Yu ; Skon, Lucca ; Mccombs, James ; et al.
Proceedings of the 37th International Conference on Supercomputing. :313-323

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220

High‐Accuracy Classification of Radiation Waveforms of Lightning Return Strokes.
Wu, Ting ; Wang, Daohong ; Takagi, Nobuyuki
Journal of Geophysical Research. Atmospheres. 7/27/2023, Vol. 128 Issue 14, p1-15. 15p.

Radiation Thunderstorms Machine learning Random forest algorithms
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