• Suche: Interpretable Machine Learning with Python

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62

[Re] GANSpace: Discovering Interpretable GAN Controls
Dasu, Vishnu Asutosh ; Midhush Manohar, T.K.

python tensorflow machine learning rescience c numpy deep learning …
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63

Machine learning models predict triage levels, massive transfusion protocol activation, and mortality in trauma utilizing patients hemodynamics on admission
El-Menyar, Ayman ; Naduvilekandy, Mashhood ; Asim, Mohammad ; et al.
In Computers in Biology and Medicine September 2024 179

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64

Production Forecasting in Gas Lifted Wells using Interpretable Machine Learning Techniques
S. O. Isehunwa ; G. T. Awojinrin ; P. Oluwatayo
SPE Nigeria Annual International Conference and Exhibition.

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65

Machine Learning Model Reveals Determinators for Admission to Acute Mental Health Wards From Emergency Department Presentations.
Higgins O ; Chalup SK ; Wilson RL
Publisher: Blackwell Pub Country of Publication: Australia NLM ID: 101140527 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1447-0349 (Electronic) Linking ISSN: 14458330 NLM ISO Abbreviation: Int J Ment Health Nurs Subsets: MEDLINE

Humans Adult Male Female Middle Aged Suicidal Ideation …
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66

Hybrid machine learning with optimization algorithm and resampling methods for patch load resistance prediction of unstiffened and stiffened plate girders
Kong, Zhengyi ; Le, Dai-Nhan ; Pham, Thai-Hoan ; et al.
In Expert Systems With Applications 1 September 2024 249 Part C

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67

Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology
Lam, Ka Chun ; Mahony, Bridget W ; Raznahan, Armin ; et al.

Computer Science - Machi... Mathematics - Numerical... Statistics - Application... 68 G.1.3
Report
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68

Physics-informed neural network with symbolic regression for deriving analytical approximate solutions to nonlinear partial differential equations
Das, Joy ; Bhaumik, Bivas ; De, Soumen ; et al.
Das, J, Bhaumik, B, De, S & Changdar, S 2025, ' Physics-informed neural network with symbolic regression for deriving analytical approximate solutions to nonlinear partial differential equations ', Neural Computing and Applications, vol. 37, no. 24, pp. 20205–20240 . https://doi.org/10.1007/s00521-025-11450-9

Interpretable machine le... Symbolic regression (SR) Nonlinear partial differ... Physics-informed neural... Magnetic biofluid dynami...
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69

Prioritizing Virtual Screening with Interpretable Interaction Fingerprints
Fassio, Alexandre V. ; Shub, Laura ; Ponzoni, Luca ; et al.
Journal of Chemical Information and Modeling. 62(18):4300-4318

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70

A Study on the Effectiveness of Interpretable Machine Learning Explanations in Cybersecurity
Frank Xavier Gearhart
112

Artificial Intelligence Information Security Man Machine Systems Natural Language Process... Computer Security Information Technology …
Dissertation
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71

A comparative analysis of machine learning and statistical methods for evaluating building performance: A systematic review and future benchmarking framework
Ali, Abdulrahim ; Jayaraman, Raja ; Azar, Elie ; et al.
In Building and Environment 15 March 2024 252

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72

Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life
Kobayashi, Kazuma ; Alam, Syed Bahauddin
Engineering Applications of Artificial Intelligence 129 (2024): 107620

Computer Science - Machi... Statistics - Application... Statistics - Computation
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73

[Re] A Reproduction of Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification
Victor Livernoche ; Vidya Sujaya ; Koustuv Sinha,\\ Maurits Bleeker,\\ Samarth Bhargav

rescience c rescience x python machine learning transformers prompt engineering …
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74

Are machine learning interpretations reliable? A stability study on global interpretations
Gan, Luqin ; Zikry, Tarek M. ; Allen, Genevera I.

Statistics - Machine Lea... Computer Science - Machi... Statistics - Application...
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75

A deep learning approach for the analysis of birdsong.
Koch, Therese M. I. ; Marks, Ethan S. ; Roberts, Todd F.
eLife. 11/18/2025, Vol. 14, p1-30. 30p.

DEEP learning BIRDSONGS SOUNDS NEUROSCIENCES ZEBRA finch BEHAVIORAL sciences
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76

Evaluating the Machine Learning Models in Predicting Intensive Care Unit Discharge for Neurosurgical Patients Undergoing Craniotomy: A Big Data Analysis.
Khaniyev, Taghi ; Cekic, Efecan ; Koc, Muhammet Abdullah ; et al.
Neurocritical Care. Oct2025, Vol. 43 Issue 2, p512-529. 18p.

MACHINE learning RANDOM forest algorithms BIG data ARTIFICIAL neural networ... CRANIOTOMY NEUROSURGERY
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77

Interpretable Architecture Neural Networks for Function Visualization
Zhang, Shengtong ; Apley, Daniel W.

Computer Science - Machi... Computer Science - Human... Statistics - Methodology Statistics - Machine Lea...
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78

metaNet: Interpretable unknown mobile malware identification with a novel meta-features mining algorithm
Li, Zhaoxuan ; Zhao, Ziming ; Zhang, Rui ; et al.
In Computer Networks August 2024 250

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79

Sarcasm Detection on Reddit Using Classical Machine Learning and Feature Engineering
Karmaker, Subrata

Computation and Language Machine Learning
Report
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80

Strain analysis in mitral regurgitation using interpretable machine learning
Lupi, Amalia ; Nobile, Marco Salvatore ; Bianco, Roberto ; et al.
Journal of Cardiovascular Magnetic Resonance. 27:101411

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