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161

Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques.
Wu, Yang ; Chen, Ming ; Qin, Yufang
PLoS Computational Biology. 3/31/2025, Vol. 21 Issue 3, p1-33. 33p.

DNA topoisomerase I TRANSFORMER models ANTINEOPLASTIC agents CHEMICAL models DRUG interactions DEEP learning
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162

Development of an AI Assistant for Automatically Creating NGFW Firewall Rules
Amir, Adeshov ; Olga, Ussatova ; Turganovna, Mukaddas Arshidinova
2025 21st International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS) Optimization Problems of Complex Systems (OPCS), 2025 21st International Asian School-Seminar on. :1-6 Jul, 2025

Konferenz
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163

Efficient Classification of Abdomen Trauma Disease Using Neural Network Technique with Efficientnet Model
Kumar, T. Rajesh ; S, Sharan ; S, Vigneshvara ; et al.
2025 3rd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA) Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), 2025 3rd International Conference on. :1-6 Apr, 2025

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164

A Python Framework for Robot Skill Development and Automated Generation of Semantic Descriptions
Vieira Da Silva, Luis Miguel ; Kocher, Aljosha ; Topalis, Philip ; et al.
2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) Emerging Technologies and Factory Automation (ETFA), 2023 IEEE 28th International Conference on. :1-8 Sep, 2023

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165

Optimizing predictive performance without sacrificing explainability: Comparing logistic regression and ensemble decision trees for abdominal aortic aneurysm repair outcomes
Jeon, Brian B. ; Kottakota, Aakash K. ; Kerr, Katherine E. ; et al.
In JVS-Vascular Insights September 2025

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166

From implementation to application: FAIR digital objects for training data composition.
Blumenröhr, Nicolas ; Aversa, Rossella
Research Ideas & Outcome Journal; 8/22/2023, p1-9, 9p

MACHINE learning SCANNING electron micros... METADATA PROOF of concept AUTOMATION PYTHON programming langu... …
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167

Evaluating the efficacy of hybrid deep learning models in assessing temporal night-time light trends for the cities of Cape Town, Durban and Johannesburg in South Africa
Zandile Mncube ; Sifiso Xulu ; Nkanyiso Mbatha
Frontiers in Remote Sensing, Vol 7 (2026)

deep learning forecasting LSTM nighttime light NTL trends Geophysics. Cosmic physi... …
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168

GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model.
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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169

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

Machine Learning Artificial Intelligence
Report
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170

Interpretable machine learning and generative modeling with mixed tabular data - advancing methodology from the perspective of statistics
Blesch, Kristin ; Wright, Marvin N. ; Hammer, Barbara

Interpretable Machine Le... Explainable Artificial I... Generative Modeling Tabular Data Mixed Data ddc:0
Dissertation
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171

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
E-Ressource
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172

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, Vol 17, Iss 7, p e0270043 (2022)

Medicine Science
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173

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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175

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

Interpretable constitutive compressive stress-strain model for rubberized aggregate concrete – Integrating comprehensive empirical database and efficient XGBoost ensemble learning
Abdulaziz Alsaif ; Yassir M. Abbas
Case Studies in Construction Materials, Vol 21, Iss , Pp e03382- (2024)

Constitutive modeling Machine learning Recycled aggregate Rubberized concrete Sustainability Materials of engineering... …
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178

MIRAD: A Method for Interpretable Ransomware Attack Detection
Marcinkowski, B. ; Goschorska, M. ; Wilenska, N. ; et al.
IEEE Access Access, IEEE. 12:133810-133820 2024

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179

A Performance Study of Deep Neural Network Representations of Interpretable ML on Edge Devices with AI Accelerators
Julian Schauer ; Payman Goodarzi ; Jannis Morsch ; et al.
Sensors, Vol 25, Iss 18, p 5681 (2025)

edge computing smart sensors interpretable ML AI accelerator latency energy efficiency …
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180

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

Machine Learning Artificial Intelligence
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