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1

Failure Prediction Through Testing Data Using Machine Learning Classification: A Smart Plug Top Case Study
Hoang, Minh Long ; Daniele, Simone ; Delmonte, Nicola ; et al.
ESREF 2025 : 36th European Symposium on Reliability of Electron Devices, Failure Physics and Analysis, 2025, Université de Bordeaux, ADERA, Oct 2025, Bordeaux, France

Bordeaux, France [SPI.NANO]Engineering Sc... Micro and nanotechnologi... Microelectronics [SPI.TRON]Engineering Sc... Electronics
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2

Failure Prediction Through Testing Data Using Machine Learning Classification: A Smart Plug Top Case Study
Hoang, M.L. ; Daniele, S. ; Delmonte, Nicola ; et al.
ESREF 2025 : 36th European Symposium on Reliability of Electron Devices, Failure Physics and Analysis, 2025, Université de Bordeaux, ADERA, Oct 2025, Bordeaux, France

Bordeaux, France [SPI]Engineering Science... [SPI.TRON]Engineering Sc... Electronics
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3

Explainable machine learning classification of \textit{Chandra} X-ray sources: SHAP analysis of multi-wavelength features
Kumaran, Shivam ; Mandal, Samir ; Bhattacharyya, Sudip
ApJ 995 224 (2025)

Instrumentation and Meth... High Energy Astrophysica...
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4

Machine-Learning Classification of Neutron-Star Matter Composition from Macroscopic and Oscillation Observables
Husain, Wasif

High Energy Astrophysica... Instrumentation and Meth... High Energy Physics - Ph...
Report
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5

Machine learning classification of baseband data of CHIME FRBs
Madheshwaran, Mohanraj ; Hashimoto, Tetsuya ; Goto, Tomotsugu ; et al.

High Energy Astrophysica... Instrumentation and Meth...
Report
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6

Metallicity Effects on Machine Learning Classification of Dusty Stellar Sources in the Magellanic Clouds
Ghaziasgar, Sepideh ; Abdollahi, Mahdi ; Javadi, Atefeh ; et al.

Astrophysics of Galaxies
Report
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7

Improving Machine Learning Classification Predictions through SHAP and Features Analysis Interpretation
Bernal, Leonardo ; Rastelli, Giulio ; Pinzi, Luca
Journal of Chemical Information and Modeling. 65(21):11716-11732

Fachzeitschrift
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8

Interpretable machine learning classification for vehicle response-based railway track irregularities assessment
Wikaranadhi, Prasidya ; Berg, Mats ; Kulkarni, Rohan ; et al.
Public Transport: Planning and Operations. :1-31

Fachzeitschrift
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9

Agro-Climatic Information to Enhance the Machine-Learning Classification of Olive Oils from Near-Infrared Spectra
Sánchez-Rodríguez, María Isabel ; Sánchez-López, Elena ; Marinas, Alberto ; et al.
ACS Agricultural Science & Technology. 4(11):1194-1205

Fachzeitschrift
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10

Phishing Website Detection Using a Machine Learning Classification Approach
null Ibnu Arifin ; null Chairani
INOVTEK Polbeng - Seri Informatika. 10:1498-1508

Fachzeitschrift
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11

A Thermal-Imaging System and Machine-Learning Classification Algorithm for Skin Cancer Screening
V. Mainardi ; M. Dal Canto ; T. Melillo ; et al.
IEEE Transactions on Medical Robotics and Bionics. 7:938-949

classification machine learning melanoma Screening skin cancer thermal-imaging
Fachzeitschrift
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12

Explainable e-sports win prediction through Machine Learning classification in streaming
García-Méndez, Silvia ; de Arriba-Pérez, Francisco

Artificial Intelligence
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13

Unsupervised machine learning classification of gamma-ray bursts based on the rest-frame prompt emission parameters
Zhu, Si-Yuan ; Shao, Lang ; Tam, Pak-Hin Thomas ; et al.
A&A 702, A173 (2025)

High Energy Astrophysica...
Report
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14

Machine Learning Classification of COSMOS2020 Galaxies: Quiescent vs. Star-Forming
Asadi, Vahid ; Chartab, Nima ; Zonoozi, Akram Hasani ; et al.
The Astrophysical Journal, 993, 123, 2025 September 2

Astrophysics of Galaxies
Report
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15

Astrophysical or Terrestrial: Machine learning classification of gravitational-wave candidates using multiple-search information
Tsukamoto, Seiya ; Toivonen, Andrew ; Griffin, Holton ; et al.

General Relativity and Q... Instrumentation and Meth...
Report
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16

Machine learning classification of black holes in the mass--spin diagram
Steinle, Nathan ; Safi-Harb, Samar

High Energy Astrophysica... Cosmology and Nongalacti... General Relativity and Q...
Report
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17
19

Digital Urban Twins for heavy rain events - An open source QGIS plugin for machine learning classification of residential buildings using CityGML with additional datasets
Bong, Alexander ; Clemen, Christian
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. :25-32

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20

Reducing Execution Time of Pixel-Based Machine Learning Classification Algorithms Using Parallel Processing Concept
null Aliaa Shaker Mahmoud ; null Mohammed Chachan Younis
AL-Rafidain Journal of Computer Sciences and Mathematics. 19:53-66

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