• Suche: Interpretable Machine Learning with Python

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121

Qumín : from a bundle of scripts to a scientific toolkit
Beniamine, Sacha ; Bouton, Jules ; Surrey Morphology Group, University of Surrey ; et al.
Journées scientifiques du réseau thématique LIFT2 - linguistique informatique, formelle et de terrain, Oct 2025, Paris, France

Paris, France python software development good practices quantitative morphology ingéniérie logicielle …
Konferenz
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122

A reinforcement learning and predictive analytics approach for enhancing credit assessment in manufacturing
Razaque, Abdul ; Beishenaly, Aliya ; Kalpeyeva, Zhuldyz ; et al.
In Decision Analytics Journal June 2025 15

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123

[Re] Reproducibility Study - SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
Burger, Maarten ; Burg, Kaya Ter ; Titarsolej, Sam ; et al.

Computer Vision Interpretable deep learning Self-attention Reproducibility SCOUTER …
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124

Multiparameter topological persistence for machine learning
Persistance topologique multiparamétrée pour l'apprentissage statistique
Loiseaux, David ; Understanding the Shape of Data (DATASHAPE) ; Centre Inria d'Université Côte d'Azur ; et al.
Computational Geometry [cs.CG]. Université Côte d'Azur, 2024. English. ⟨NNT : 2024COAZ4051⟩

Algebraic topology Optimization Statistical machine lear... Computer science Topologie algébrique Sciences Informatiques …
Dissertation
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125

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.

China Vocational education Cross-sectional method Bem Sex-Role Inventory Gender role Random forest algorithms …
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126

SurvLIMEpy: A Python package implementing SurvLIME.
Pachón-García, Cristian ; Hernández-Pérez, Carlos ; Delicado, Pedro ; et al.
Expert Systems with Applications. Mar2024:Part C, Vol. 237, pN.PAG-N.PAG. 1p.

PYTHON programming langu... PROPORTIONAL hazards mod... MACHINE learning DEEP learning SURVIVAL analysis (Biome...
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127

Advanced predictive machine and deep learning models for round-ended CFST column.
Shen, Feng ; Jha, Ishan ; Isleem, Haytham F. ; et al.
Scientific Reports. 2/20/2025, Vol. 15 Issue 1, p1-29. 29p.

ARTIFICIAL neural networ... MACHINE learning CONVOLUTIONAL neural net... LONG short-term memory STRUCTURAL analysis (Eng... DEEP learning
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128

imodels: a python package for fitting interpretable models
Chandan Singh ; Keyan Nasseri ; Yan Shuo Tan ; et al.

Interpretability machine-learning Rules
E-Ressource
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129

FRI -- Feature Relevance Intervals for Interpretable and Interactive Data Exploration
Pfannschmidt, Lukas ; Göpfert, Christina ; Neumann, Ursula ; et al.

Computer Science - Machi... Computer Science - Infor... Statistics - Machine Lea...
Report
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130

Optimized interpretable generalized additive neural networks based malicious activity detection with video surveillance.
Lokesh, K. ; Baskar, M.
Signal, Image & Video Processing; Jul2025, Vol. 19 Issue 7, p1-13, 13p

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131

Breast cancer diagnosis from histopathological images and molecular signatures by fusing features with an explainable AI-based residual tabular network model.
Jaikumar, S. Sam ; Praveena, S. Mary
Journal of Computer-Aided Molecular Design; 11/25/2025, Vol. 40 Issue 1, p1-21, 21p

BREAST cancer DIAGNOSIS MACHINE learning HISTOPATHOLOGY BIOMARKERS ARTIFICIAL intelligence
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132

CARE: Comprehensive Artificial Intelligence Techniques for Reliable Autism Evaluation in Pediatric Care.
Moon, Jihoon ; Woo, Jiyoung
Computers, Materials & Continua; 2025, Vol. 85 Issue 1, p1383-1425, 43p

AUTISM spectrum disorder... ARTIFICIAL intelligence MACHINE learning DATA analysis DIAGNOSIS PREDICTION models …
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133

Prioritizing virtual screening with interpretable interaction fingerprints
Alexandre V. Fassio ; Laura Shub ; Luca Ponzoni ; et al.
Journal of Chemical Information and Modeling, vol 62, iss 18

0301 basic medicine 0303 health sciences Medicinal & Biomolecular... Dopamine Proteins Computation Theory and M... …
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134

APPLICATION OF EXPLAINABLE ARTIFICIAL INTELLIGENCE IN INTRUSION DETECTION SYSTEM CLASSIFICATION USING BOOSTING ALGORITHMS.
ATAGÜN, Ercan ; TEMÜR, Günay ; BİROĞUL, Serdar
Mugla Journal of Science & Technology; Jun2024, Vol. 10 Issue 1, p1-7, 7p

BOOSTING algorithms ARTIFICIAL intelligence MACHINE learning PYTHON programming langu... INTERNET access CLASSIFICATION
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135

Towards the genome-scale discovery of bivariate monotonic classifiers.
Fourquet, Océane ; Krejca, Martin S. ; Doerr, Carola ; et al.
BMC Bioinformatics; 9/2/2025, Vol. 26 Issue 1, p1-32, 32p

CLASSIFICATION BIOMARKERS ALGORITHMS MACHINE learning BIOINFORMATICS
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136

An AI-Based Cyber Ranges to Strengthen the Cybersecurity of Cyber Physical Systems.
Sisodiya, Deepa Singh ; Tiwari, Ritu ; Jain, Priyank ; et al.
Journal of Applied Security Research; Oct-Dec2025, Vol. 20 Issue 4, p473-505, 33p

ARTIFICIAL intelligence CYBER physical systems COMPUTER security vulner... INTERNET security PENETRATION testing (Com... MACHINE learning
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137

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138

Enabling Decision Making with the Modified Causal Forest: Policy Trees for Treatment Assignment.
Bodory, Hugo ; Mascolo, Federica ; Lechner, Michael
Algorithms; Jul2024, Vol. 17 Issue 7, p318, 28p

FOREST policy DECISION trees PYTHON programming langu... DECISION making MACHINE learning
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139

Predicting cervical cancer risk probabilities using advanced H20 AutoML and local interpretable model-agnostic explanation techniques.
Prusty, Sashikanta ; Patnaik, Srikanta ; Dash, Sujit Kumar ; et al.
PeerJ Computer Science; May2024, p1-29, 29p

LENOVO Group Ltd. CERVICAL cancer DISEASE risk factors MACHINE learning MIDDLE-aged persons PROBABILITY theory
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140

PyAerial: Scalable association rule mining from tabular data
Erkan Karabulut ; Paul Groth ; Victoria Degeler
SoftwareX, Vol 31, Iss , Pp 102341- (2025)

Association rule mining Neurosymbolic ai Tabular data Interpretable machine le... Computer software QA76.75-76.765
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