• Search: "ML Machine Learning"

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1

adverSCarial: a toolkit for exposing classifier vulnerabilities in single-cell transcriptomics
Fievet, Ghislain ; Broséus, Julien ; Meyre, David ; et al.
ISMB/ECCB2025, Jul 2025, Liverpool, United Kingdom

Liverpool, United Kingdo... Single-cell transcriptom... XAI Explainable AI scRNA-seq single-cell RN... ML Machine Learning R Bioconductor …
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2

XAItest: Evaluating XAI-Based Feature Discovery Methods
Fievet, Ghislain ; Broséus, Julien ; Meyre, David ; et al.
ISMB/ECCB 2025, Jul 2025, Liverpool, United Kingdom. ⟨10.18129/B9.bioc.XAItest⟩

Liverpool, United Kingdo... XAI Explainable Artifici... Omics data analysis Single-cell data Feature Importance ML machine learning …
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3

The Algorithmic Divide: A Systematic Review on AI-Driven Racial Disparities in Healthcare
Haider, Syed Ali ; Borna, Sahar ; Gomez-Cabello, Cesar A. ; et al.
Journal of Racial and Ethnic Health Disparities. 13(1):188-217

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4

AI ARTIFICIAL INTELLIGENCE IN CHEMICAL FIELD – INNOVATION AND RISK EVALUATION
Luisetto M. ; Edbey K. ; Mashori G. R. ; et al.

AI – artificial intellie...
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5

An Artificial Intelligence Approach for Automated Asset Management of Railway Systems
Di Costanzo, Luca ; Coppola, Angelo ; Marrone, Stefano
2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI). :465-469

Machine Learning RUL Automated Diagnosis Asset Management, Automa... Asset Management railway …
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6

ADVANCED RIDGE REGRESSION USING IMFT MODEL FOR RSU DESIGN IN VEHICULAR NETWORKS
Journal of Theoretical and Applied Information Technology

Vehicular Ad Hoc Network...
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7

Performance Evaluation of Quantum Machine Learning and Classical Machine Learning Techniques for Alzheimer's Disease Diagnosis
Fazil A. Sheikh
International Journal of Intelligent Systems and Applications in Engineering; Vol. 12 No. 23s (2024); 2622 – 2636

Alzheimer's Disease, Qua...
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8

Enhancing product recategorization in the toys industry: a comprehensive approach integrating classification machine learning model and industry trend analysis
Ocariz, Amaia Jinrong Salazar Ochoa de ; Belo, Rodrigo ; RUN

DRI – Directed Research... KPI – Key Performance In... EAN – European Article N... ML – Machine Learning MP – Marketplace OPS – Order Product Sale... …
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9

Artificial Metabolic Networks: enabling neural computation with metabolic networks
Faure, Léon ; Mollet, Bastien ; Liebermeister, Wolfram ; et al.

Artificial Metabolic Net... RNN: Recurrent Neural Ne... MM: Mechanistic Modellin... ML: Machine Learning MFA: Metabolic Flux Anal... LP(QP): Linear (Quadradi... …
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10

A BRIEF STUDY ON MACHINE LEARNING, CRYPTOGRAPHY AND STEGANOGRAPHY
Dinesh Kumar Moriya
International Journal of Sciences and Innovation Engineering; Vol. 2 No. 8 (2025): IJSCI VOLUME-02 ISSUE-08 AUGUST 2025; 640-646 ; 3049-0251

ML- Machine Learning Cryptography Steganography AES RSA
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11

Inventory optimization for Pingo Doce & Go Nova - a deep reinforcement learning approach
Belchior, Rodrigo Castelo Branco ; Han, Qiwei ; RUN

Drl = deep reinforcement... Ppo = proximal policy op... Mdp = markov decision pr... Ml = machine learning Pd&G = Pingo Doce & Go Dqn = deep q- learning …
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12

OPTIMIZATION OF E-LEARNING AND PERFORMANCE USING IOT AND 6G TECHNOLOGY
Balamurugan, A. ; Sureshkumar, S. ; Srivani, Putta ; et al.
Journal of Pharmaceutical Negative Results. :543-552

ML (Machine Learning) 9. Industry and infrastr... 0202 electrical engineer... IoT (Internet of Things) 02 engineering and techn... 1115 Pharmacology and Ph... …
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13

Predicting neurodevelopmental outcomes from neonatal cortical microstructure: A conceptual replication study
Gondová, Andrea ; Neumane, Sara ; Leprince, Yann ; et al.
Neuroimage: Reports. 3(2):100170-100170

Brain development Neonates Prematurity DTI (Diffusion tensor im... ML (machine learning) Prediction …
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14

Streamlined Teacher Evaluations: Leveraging ML with SMOTE and Streamlit Approach for Real-Time Sentiment Analysis of Student Feedback
Manisha M. More
International Journal of Intelligent Systems and Applications in Engineering; Vol. 12 No. 22s (2024); 1591 – 1599

Student feedback analyti...
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15

THE IMPACT OF INTELLIGENT TECHNOLOGIES IN THE CONTEXT OF INDUSTRY 4.0 ON THE PRODUCTION PROCESSES FOUND IN THE AUTOMOTIVE INDUSTRY. A CASE STUDY OF INVESTMENT.
Andreea Gabriela Tănase ; Daniela Șerban ; Cosmin-Octavian Dobrin ; et al.
Annals of the University of Craiova: Economic Sciences Series, Vol 1, Iss 51, Pp 68-74 (2023)

industry 4.0 erp sap rpa ai ml - machine learning …
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16

Snow coverage estimation using camera data for automated driving applications
Goberville, Nicholas A. ; Prins, Kyle R. ; Kadav, Parth ; et al.
In Transportation Research Interdisciplinary Perspectives March 2023 18

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17

The next generation grid: AI and ML-enhanced digitalization in Europe
Kamran, Abdullah
Transformers Magazine
Volume 11
Issue SE2

ML (Machine Learning) cybersecurity AI (Artificial Intellige... load forecasting grid reliability digitalization
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18

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19

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20

MLb-LDLr
Fernando Civeira ; César Martín ; Humberto González-Díaz ; et al.
JACC Basic Transl Sci
Zaguán. Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
instname
Addi. Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco

0301 basic medicine Familial hypercholestero... LNN, linear neural netwo... FH, familial hypercholes... 03 medical and health sc... 0302 clinical medicine …
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