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Redundancy and Analog Slicing for Precise In-Memory Machine Learning-Part I: Programming Techniques

IEEE transactions on electron devices, 2021-09, Vol.68 (9), p.4373-4378

2021

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Application of Machine Learning Techniques for Predicting Compressive, Splitting Tensile, and Flexural Strengths of Concrete with Metakaolin

Materials, 2022-08, Vol.15 (15), p.5435

2022

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Differentiable Programming: Neural Networks and Selection Cuts Working Together

EPJ Web of Conferences, 2024, Vol.295, p.9011

2024

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Systematic Machine Translation of Social Network Data Privacy Policies

Applied sciences, 2022-10, Vol.12 (20), p.10499

2022

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Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

Entropy (Basel, Switzerland), 2023-06, Vol.25 (6), p.888

2023

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Automated Design of Salient Object Detection Algorithms with Brain Programming

Applied sciences, 2022-10, Vol.12 (20), p.10686

2022

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Hamiltonian engineering with constrained optimization for quantum sensing and control

New journal of physics, 2019-02, Vol.21 (2), p.23015

2019

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Application of genetic programming for proton-proton interactions

Central European journal of physics, 2011-06, Vol.9 (3), p.874-883

El-Dahshan, EL-Sayed A.

2011

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Simulation of Depth of Wear of Eco-Friendly Concrete Using Machine Learning Based Computational Approaches

Materials, 2021-12, Vol.15 (1), p.58

2021

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Enhancing Spectroscopic Experiment Calibration through Differentiable Programming

Condensed matter, 2024-06, Vol.9 (2), p.26

Napolitano, Fabrizio

2024

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Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids

Applied sciences, 2020-01, Vol.10 (1), p.304

2020

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Studying total proton-proton cross section collision at large hadron collider using gene expression programming

Journal of physics. Conference series, 2017-06, Vol.869 (1), p.12049

Radi, A

2017

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Techniques and Challenges of Image Segmentation: A Review

Electronics (Basel), 2023-03, Vol.12 (5), p.1199

2023

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A Genetic Programming Approach to System Identification of Rainfall-Runoff Models

Water resources management, 2017-09, Vol.31 (12), p.3975-3992

2017

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Application of Novel Machine Learning Techniques for Predicting the Surface Chloride Concentration in Concrete Containing Waste Material

Materials, 2021-04, Vol.14 (9), p.2297

2021

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Multigene Expression Programming Based Forecasting the Hardened Properties of Sustainable Bagasse Ash Concrete

Materials, 2021-09, Vol.14 (19), p.5659

2021

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Optimizing Two-Dimensional Irregular Packing: A Hybrid Approach of Genetic Algorithm and Linear Programming

Applied sciences, 2023-11, Vol.13 (22), p.12474

2023

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Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies

Entropy (Basel, Switzerland), 2023-04, Vol.25 (4), p.694

Markidis, Stefano

2023

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Differentiable Programming Tensor Networks

Physical review. X, 2019-09, Vol.9 (3), p.031041, Article 031041

2019

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A Fourier‐based machine learning technique with application in engineering

International journal for numerical methods in engineering, 2021-02, Vol.122 (3), p.866-897

Peigney, Michaël

2021

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Device-Free Localization via Dictionary Learning With Difference of Convex Programming

IEEE sensors journal, 2017-09, Vol.17 (17), p.5599-5608

2017

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Detection of Vulnerabilities by Incorrect Use of Variable Using Machine Learning

Electronics (Basel), 2023-03, Vol.12 (5), p.1197

2023

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A Systematic Mapping of the Advancing Use of Machine Learning Techniques for Predictive Maintenance in the Manufacturing Sector

Applied sciences, 2021-03, Vol.11 (6), p.2546

2021

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AI-Based Resource Allocation Techniques in Wireless Sensor Internet of Things Networks in Energy Efficiency with Data Optimization

Electronics (Basel), 2022-07, Vol.11 (13), p.2071

2022

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Understanding and Predicting Ride-Hailing Fares in Madrid: A Combination of Supervised and Unsupervised Techniques

Applied sciences, 2023-04, Vol.13 (8), p.5147

2023

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Redundancy and Analog Slicing for Precise In-Memory Machine Learning-Part I: Programming Techniques

Application of Machine Learning Techniques for Predicting Compressive, Splitting Tensile, and Flexural Strengths of Concrete with Metakaolin

Differentiable Programming: Neural Networks and Selection Cuts Working Together

Systematic Machine Translation of Social Network Data Privacy Policies

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

Automated Design of Salient Object Detection Algorithms with Brain Programming

Hamiltonian engineering with constrained optimization for quantum sensing and control

Application of genetic programming for proton-proton interactions

Simulation of Depth of Wear of Eco-Friendly Concrete Using Machine Learning Based Computational Approaches

Enhancing Spectroscopic Experiment Calibration through Differentiable Programming

Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids

Studying total proton-proton cross section collision at large hadron collider using gene expression programming

Techniques and Challenges of Image Segmentation: A Review

A Genetic Programming Approach to System Identification of Rainfall-Runoff Models

Application of Novel Machine Learning Techniques for Predicting the Surface Chloride Concentration in Concrete Containing Waste Material

Multigene Expression Programming Based Forecasting the Hardened Properties of Sustainable Bagasse Ash Concrete

Optimizing Two-Dimensional Irregular Packing: A Hybrid Approach of Genetic Algorithm and Linear Programming

Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies

Differentiable Programming Tensor Networks

A Fourier‐based machine learning technique with application in engineering

Device-Free Localization via Dictionary Learning With Difference of Convex Programming

Detection of Vulnerabilities by Incorrect Use of Variable Using Machine Learning

A Systematic Mapping of the Advancing Use of Machine Learning Techniques for Predictive Maintenance in the Manufacturing Sector

AI-Based Resource Allocation Techniques in Wireless Sensor Internet of Things Networks in Energy Efficiency with Data Optimization

Understanding and Predicting Ride-Hailing Fares in Madrid: A Combination of Supervised and Unsupervised Techniques

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