• Search: Interpretable machine learning with Python

Showing 161 - 180 of 1,297

161

Single-cell specific and interpretable machine learning models for sparse scChIP-seq data imputation
Steffen Albrecht ; Tommaso Andreani ; Miguel A. Andrade-Navarro ; et al.
PLoS One
PLoS ONE, Vol 17, Iss 7, p e0270043 (2022)

0301 basic medicine Science 0206 medical engineering DNA Genomics Sequence Analysis, DNA …
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162

Features influencing surface acting of different clusters of nursing students in vocational college based on interpretable machine learning: A cross-sectional study.
Da, Chaojin ; Wu, Chen ; Ji, Zhenying ; et al.
Nurse Education in Practice. Jan2025, Vol. 82, pN.PAG-N.PAG. 1p.

Vocational education Universities & colleges Emotions Experience Students School holding power …
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163

IMDB Sentiment Analysis Based on Comment by Using Machine Learning
KURMAPU DURGAPRASAD. ; MAMIDI TARANI
International Scientific Journal of Engineering and Management. :1-9

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164

`python-m5p` - M5 Prime regression trees in python, compliant with scikit-learn
Marié, Sylvain ; Schneider Electric ( SE)

Berlin, Germany Python Regression Tree M5 M5P Data science …
Conference
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165

An interpretable generalized additive neural networks for electricity theft detection in smart cities using balanced data and intelligent grid management.
Nandhini, N. ; Manikandan, V. ; Elango, S.
Energy & Buildings. Nov2025, Vol. 346, pN.PAG-N.PAG. 1p.

SMART cities THEFT FEATURE extraction DATA harmonization ENERGY management ARTIFICIAL neural networ... …
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167

GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model Open Access.
Li, Jingmao ; Xu, Yaqing ; Ma, Shuangge ; et al.
Bioinformatics; Sep2025, Vol. 41 Issue 9, p1-9, 9p

CANCER research GENOTYPE-environment int... DIAGNOSTIC imaging DEEP learning EMPIRICAL research COMPUTER simulation
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168

Scalable Causal Discovery from Recursive Nonlinear Data via Truncated Basis Function Scores and Tests
Ramsey, Joseph ; Andrews, Bryan ; Spirtes, Peter

Machine Learning Artificial Intelligence
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169

Learning Machine Learning with a Game.
Lürig, Christoph
Proceedings of the European Conference on Games Based Learning. 2022, p316-323. 8p.

Machine learning Educational games Visualization Digital technology Monte Carlo method
Conference
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170

Python code for Sturm and Wexler (2022): Conservation laws in a neural network architecture
Patrick Obin Sturm ; orcid:0000-0001-7361-

machine learning physically interpretable... photochemical modeling surrogate model conservation laws
Electronic Resource
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171

ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models
Piyachat Udomwong ; Thanathat Pamonsupornwichit ; Kanchanok Kodchakorn ; et al.
Frontiers in Bioinformatics, Vol 5 (2025)

antibody binding site pr... deep learning BiLSTM-CNN heavy and light chains paratope identification sequence modeling …
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172

Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT
Garg, Aksh ; Salehi, Sana ; Rocca, Marianna La ; et al.
In Expert Systems With Applications 1 June 2022 195

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173

Interpretable machine learning models for single-cell ChIP-seq imputation
Albrecht, Steffen ; Andreani, Tommaso ; Andrade-Navarro, Miguel A. ; et al.

0301 basic medicine 03 medical and health sc...
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175

Aplicación de Machine Learning para predecir y explicar el rendimiento académico universitario
Vinces-Vinces, Fabricio Vladimir ; Flores-Sanchéz, Miguel

rendimiento académico factores académicos inteligenica artificial estudiantes universitari... Factores afectivos autocontrol
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176

A multi-modality framework for precise brain tumor detection and multi-class classification using hybrid GAN approach
Karpakam, S. ; Kumareshan, N.
In Biomedical Signal Processing and Control June 2025 104

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177

Automatically Finding Rule-Based Neurons in OthelloGPT
Singh, Aditya ; Wen, Zihang ; Medicherla, Srujananjali ; et al.

Machine Learning Artificial Intelligence
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178

Genome-Factory: An Integrated Library for Tuning, Deploying, and Interpreting Genomic Models
Wu, Weimin ; Song, Xuefeng ; Wen, Yibo ; et al.

Genomics Machine Learning
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179

DeepKoopFormer: A Koopman Enhanced Transformer Based Architecture for Time Series Forecasting
Forootani, Ali ; Khosravi, Mohammad ; Barati, Masoud

Machine Learning
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180

Evidential deep learning-based ALK-expression screening using H&E-stained histopathological images
Sai Chandra Kosaraju ; Sai Phani Parsa ; Dae Hyun Song ; et al.
npj Digital Medicine, Vol 8, Iss 1, Pp 1-10 (2025)

Computer applications to... R858-859.7
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