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41

TensorLy: Tensor Learning in Python.
Kossaifi, Jean ; Panagakis, Yannis ; Anandkumar, Anima ; et al.
Journal of Machine Learning Research. 2019, Vol. 20 Issue 2-29, p1-6. 6p.

DATA analysis ARTIFICIAL neural networ... CALCULUS of tensors MACHINE learning PYTHON programming langu...
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42

Algorithm-Aided Design with Python: Analysis of Technological Competence of Subjects
Pontes, Thiago Bessa ; Miranda, Guilhermina Lobato ; Celani, Gabriela Caffarena
12

Programming Computer Science Educati... Teaching Methods Student Motivation Instructional Design Knowledge Level …
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43

PyStruct - Learning Structured Prediction in Python.
Müller, Andreas C. ; Behnke, Sven
Journal of Machine Learning Research. 2014, Vol. 15 Issue 6, p2055-2060. 6p. 1 Chart, 1 Graph.

ALGORITHMS MACHINE learning PYTHON programming langu... PREDICTION theory SUPPORT vector machines RANDOM fields
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45

Interactive Learning of Diffusion and the Diffusion Equation with Mathematical Software
Victor Lebora´n ; Francisco Rivadulla
5

Computer Software Chemistry Science Instruction Scientific Concepts Molecular Structure Programming Languages …
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46

Workshop on Computer Vision for Bioanalytical Chemists: Classification and Detection of Amoebae Using Optical Microscopy Image Analysis with Machine Learning
Baosen Zhang ; Ariana Frkonja-Kuczin ; Zhong-Hui Duan ; et al.
7

Classification Laboratory Equipment Visual Aids Optics Workshops Computer Uses in Educati... …
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47

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence.
Raschka, Sebastian ; Patterson, Joshua ; Nolet, Corey
Information. Apr2020, Vol. 11 Issue 4, p193. 1p.

Artificial intelligence Machine learning Data science Python programming langu... Graphics processing unit... Scientific language
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48

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49

Efficient development of high performance data analytics in Python
Álvarez Cid-Fuentes, Javier ; Álvarez, Pol ; Amela, Ramon ; et al.
In Future Generation Computer Systems October 2020 111:570-581

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50

Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices.
Morell, José Ángel ; Alba, Enrique
Future Generation Computer Systems. Aug2022, Vol. 133, p53-67. 15p.

SERVER farms (Computer n... VOLUNTEERS VOLUNTEER service PYTHON programming langu... ASYNCHRONOUS learning WEB browsers …
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51

Team-Based Learning for Scientific Computing and Automated Experimentation: Visualization of Colored Reactions
Vargas, Santiago ; Zamirpour, Siavash ; Menon, Shreya ; et al.
6

Teamwork Computer Uses in Educati... Cooperative Learning Automation Science Experiments Color …
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52

Remote Experiments as an Asset for Learning Programming in Python.
Guerra, H. ; Cardoso, A. ; Sousa, V. ; et al.
International Journal of Online Engineering. 2016, Vol. 12 Issue 4, p71-73. 3p.

Python programming langu... Online education Universities & colleges Wireless sensor networks Data acquisition systems Computer programming
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53

SINDybrid: automatic generation of hybrid models for dynamic systems
Di Caprio, Ulderico ; Leblebici, M. Enis
In Chemical Engineering Science 1 February 2026 321 Part C

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54

Medical Imaging Processing on a Big Data Platform Using Python: Experiences with Heterogeneous and Homogeneous Architectures
Serrano, Estefania ; Blas, Javier Garcia ; Carretero, Jesus ; et al.
2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) CCGRID Cluster, Cloud and Grid Computing (CCGRID), 2017 17th IEEE/ACM International Symposium on. :830-837 May, 2017

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55

JAX-based aeroelastic simulation engine for differentiable aircraft dynamics
Cea, Alvaro ; Palacios, Rafael
In Computer Physics Communications June 2025 311

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56

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57

The periodic Sinc kernel: Theoretical design and applications in machine learning and scientific computing.
Afzal Aghaei, Alireza
Applied Soft Computing. Jun2025, Vol. 177, pN.PAG-N.PAG. 1p.

Science education Toeplitz matrices Machine learning Scientific computing Kernel functions Python programming langu...
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58

pyts: A Python Package for Time Series Classification.
Faouzi, Johann ; Janati, Hicham
Journal of Machine Learning Research. 2020, Vol. 21 Issue 26-47, p1-6. 6p.

TIME series analysis PACKAGING PYTHON programming langu... SOURCE code CLASSIFICATION
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59

Hybrid FE-ML model for turning of 42CrMo4 steel.
Laakso, Sampsa Vili Antero ; Mityakov, Andrey ; Niinimäki, Tom ; et al.
CIRP: Journal of Manufacturing Science & Technology. Dec2024, Vol. 55, p333-346. 14p.

Artificial neural networ... Machine learning Boron nitride Python programming langu... Finite element method Metal cutting
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