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81

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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82

Aplicación de Machine Learning para predecir y explicar el rendimiento académico universitario.
Vladimir Vinces-Vinces, Fabricio ; Flores-Sanchéz, Miguel
Comunicar. Jul2025, Vol. 33 Issue 82, p12-23. 12p.

MACHINE learning SCHOOL failure SCHOOL dropouts DATABASES EDUCATIONAL support
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83

[Re] GANSpace: Discovering Interpretable GAN Controls
Vishnu Asutosh Dasu ; orcid:0000-0002-1849- ; Midhush Manohar T.K. ; et al.

rescience c machine learning deep learning python tensorflow numpy …
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84

MooneyMaker: A Python package to create ambiguous two-tone images
Reining, Lars C. ; Matthies, Thabo ; Haussner, Luisa ; et al.

Neurons and Cognition Computer Vision and Patt...
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85

Leveraging explainable artificial intelligence for transparent and trustworthy cancer detection systems
Toumaj, Shiva ; Heidari, Arash ; Jafari Navimipour, Nima
In Artificial Intelligence In Medicine November 2025 169

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86

Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset
Nematzadeh, Hossein ; García-Nieto, José ; Navas-Delgado, Ismael ; et al.
In Computers in Biology and Medicine March 2023 155

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87

A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing.
Gill, Navdeep ; Hall, Patrick ; Montgomery, Kim ; et al.
Information. Mar2020, Vol. 11 Issue 3, p137. 1p.

Machine learning Workflow Python programming langu... Conditional expectations Software development too... Deep learning
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88

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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89

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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90

Strain analysis in mitral regurgitation using interpretable machine learning
Lupi, Amalia ; Nobile, Marco Salvatore ; Bianco, Roberto ; et al.

Settore MEDS-22/A - Diag... Settore INFO-01/A - Info...
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91

Automatic microscopic image analysis by moving window local Fourier Transform and Machine Learning
Jany, Benedykt R. ; Janas, Arkadiusz ; Krok, Franciszek
In Micron March 2020 130

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92

Synergizing Large Language Models and Knowledge-Based Reasoning for Interpretable Feature Engineering
Bouadi, Mohamed ; Alavi, Arta ; Benbernou, Salima ; et al.
Proceedings of the ACM on Web Conference 2025. :2606-2620

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93

GlyTrait: A Versatile Bioinformatics Tool for Glycomics Analysis.
Fu B ; Wang G ; Li C ; et al.
Publisher: American Chemical Society Country of Publication: United States NLM ID: 101128775 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1535-3907 (Electronic) Linking ISSN: 15353893 NLM ISO Abbreviation: J Proteome Res Subsets: MEDLINE

Humans Animals Glycosylation CHO Cells Cricetulus Liver Neoplasms metaboli... …
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94

Data-centric explainable artificial intelligence techniques for cyber-attack detection in microgrid networks
Trivedi, Rohit ; Patra, Sandipan ; Khadem, Shafi
In Energy Reports June 2025 13:217-229

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95

Optimizing Neural Network Architectures with TensorFlow and Keras for Scalable Deep Learning.
Al-Saadi, Muna ; Al-Saadi, Bushra ; Farhan, Dheyauldeen Ahmed ; et al.
Journal of Intelligent Systems & Internet of Things; 2026, Vol. 18 Issue 1, p114-125, 12p

DEEP learning SCALABILITY MULTI-objective optimiza... SOFTWARE frameworks
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96

GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns
Lertvittayakumjorn, Piyawat ; Choshen, Leshem ; Shnarch, Eyal ; et al.

Computer Science - Compu... Computer Science - Artif... Computer Science - Machi...
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97

Histolytics : A panoptic spatial analysis framework for interpretable histopathology
Lehtonen, Oskari ; Nordlund, Niko ; Salloum, Shams ; et al.

AI Cancer Deep learning Digital pathology Histopathology Interpretable features …
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98

Interpretable Machine Learning with Brain Image and Survival Data.
Eder, Matthias ; Moser, Emanuel ; Holzinger, Andreas ; et al.
BioMedInformatics. Sep2022, Vol. 2 Issue 3, p492-510. 19p.

ARTIFICIAL intelligence DECISION making MEDICAL personnel MACHINE learning BRAIN tumors
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99

Binaspect -- A Python Library for Binaural Audio Analysis, Visualization & Feature Generation
Barry, Dan ; Panah, Davoud Shariat ; Ragano, Alessandro ; et al.

Sound
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100

A Multi-View Learning-Based Rule Extraction Algorithm For Accurate Hepatotoxicity Prediction
Zhong, Yuting ; Yan, Bowei ; Liu, KunHong ; et al.
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2022 IEEE International Conference on. :1423-1428 Dec, 2022

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