• Suche: Applied Unsupervised Learning with Python

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42

Some pattern recognitions for a recommendation framework for higher education students’ generic competence development using machine learning
So, Chi ho ; Wong, Ka-Lok ; Tsang, Kia Ho-yin ; et al.
JOTSE, ISSN 2013-6374, Vol. 13, Nº. 1, 2023, pags. 104-115

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43

Spectral Learning on Matrices and Tensors
Janzamin, Majid ; Ge, Rong ; Kossaifi, Jean ; et al.
Foundations and Trends in Machine Learning: Vol. 12: No. 5-6, pp 393-536 (2019)

Computer Science - Machi... Statistics - Machine Lea...
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44

Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion
Mattis, Steven ; Steffen, Kyle Robert ; Butler, Troy ; et al.

Mathematics - Numerical... Statistics - Machine Lea...
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45

Geometric and Topological methods in Reinforcement Learning and Biological Image Segmentation
Wu, Yue

Computer science Discrete Optimization Geometry Image Processing Machine Learning Reinforcement Learning
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46

Machine Learning with scikit-learn Quick Start Guide
Jolly, Kevin ; Jolly, Kevin ; Jolly, Kevin ; et al.

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47

The Gaussian-Linear Hidden Markov model: a Python package
Vidaurre, Diego ; Masaracchia, Laura ; Larsen, Nick Y. ; et al.

Quantitative Biology - N... Statistics - Machine Lea...
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48

A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series
Gupta, Rithwik ; Muthukrishna, Daniel ; Lochner, Michelle

Computer Science - Machi... Astrophysics - High Ener... Astrophysics - Instrumen...
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49

Anatomy of a Data Science Software Toolkit That Uses Machine Learning to Aid ‘Bench-to-Bedside’ Medical Research—With Essential Concepts of Data Mining and Analysis Explained
László Beinrohr ; Eszter Kail ; Péter Piros ; et al.
Applied Sciences, Vol 11, Iss 24, p 12135 (2021)

thrombosis stroke data science machine learning graph database python …
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50

Activity-Dependent Remodeling of Synaptic Protein Organization Revealed by High Throughput Analysis of STED Nanoscopy Images.
Wiesner T ; Bilodeau A ; Bernatchez R ; et al.
Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101477940 Publication Model: eCollection Cited Medium: Internet ISSN: 1662-5110 (Electronic) Linking ISSN: 16625110 NLM ISO Abbreviation: Front Neural Circuits Subsets: MEDLINE

Animals Dendritic Spines patholo... Hippocampus cytology Image Processing, Comput... Microscopy Neurons cytology …
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51

Novel Machine Learning Algorithms for Centrality and Cliques Detection in Youtube Social Networks
Coppola, Craigory ; Elgazzar, Heba
IJAIA Volume 11, No. 1, January 2020

Computer Science - Machi... Computer Science - Socia... Statistics - Machine Lea...
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52

Data-driven modeling of time-domain induced polarization
Bérubé, Charles L. ; Bérubé, Pierre
Geophysics Volume 87 Issue 3 May 2022

Computer Science - Machi... Physics - Geophysics
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53

Improving domain-specific neural code generation with few-shot meta-learning.
Yang, Zhen ; Keung, Jacky Wai ; Sun, Zeyu ; et al.
Information & Software Technology. Feb2024, Vol. 166, pN.PAG-N.PAG. 1p.

PROGRAMMING languages NEURAL codes NATURAL languages TRANSFER of training PYTHON programming langu...
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54

Nitric Oxide Levels Were Associated With Postoperative Delirium Following Cardiac Surgery
Qin Zhang, Professor
Identifying Nitric Oxide Levels as Predictors of Postoperative Delirium in Following Cardiac Surgical Patients

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55

Artificial Intelligence in CNS Radiation Oncology (AI-RAD)
Bhabha Atomic Research Centre (BARC) ; Dr Archya Dasgupta, Assistant Professor, Radiation Oncology
Artificial Intelligence in Radiation Oncology for CNS Tumors

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56

The Algorithmic Fortress: Ai-Powered Cybersecurity and Anti-Fraud in The Future of Fintech
null Paulin Kamuangu
International Journal of Latest Technology in Engineering Management & Applied Science. 14:19-27

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57

Spatial and Temporal Characterization of Gliomas Using Radiomic Analysis (GLIO-RAD)
Indian Statistical Institute, Kolkata ; Dr Archya Dasgupta, Assistant Professor, Radiation Oncology
Spatial and Temporal Characterization of Gliomas Using Radiomic Analysis

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59

Human visual clustering of point arrays.
Marupudi, Vijay ; Varma, Sashank
Psychol Rev

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