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Learning to Understand Remote Sensing Images: Volume 2

Wang, Qi

2019

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Interpretability in Deep Learning

1, 2023

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DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.9275-9285

2022

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Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

1, 2022

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System Design for Epidemics Using Machine Learning and Deep Learning

1, 2023

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Deep Generative Modeling

Tomczak, Jakub M

1, 2022

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Fundamentals of Machine Learning and Deep Learning in Medicine

1, 2022

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WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning

2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2022, p.1-8

2022

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Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics

2023

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Testing DNN Image Classifiers for Confusion & Bias Errors

2020 IEEE/ACM 42nd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 2020, p.304-305

2020

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Self-Checking Deep Neural Networks in Deployment

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.372-384

2021

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IEEE_Xplore

Deep Learning

1, 2023

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Neural Networks and Deep Learning: A Textbook

Aggarwal, Charu C

Second edition, 2023

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A machine learning based approach to identify SQL injection vulnerabilities

2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2019, p.1286-1288

Zhang, Kevin

2019

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Elements of Dimensionality Reduction and Manifold Learning

1, 2023

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CC2Vec: Distributed Representations of Code Changes

2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE), 2020, p.518-529

2020

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Deep Learning: A Beginners' Guide

Meedeniya, Dulani

1st, 2024

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Generative Adversarial Attack on Ensemble Clustering

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.3839-3848

2022

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Applied Machine Learning

Dudek, Grzegorz

2023

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Deep Learning in Personalized Healthcare and Decision Support

1, 2023

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Semantically Enhanced Software Traceability Using Deep Learning Techniques

2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE), 2017, p.3-14

2017

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IEEE_Xplore

Algebraic Structures in Natural Language

First edition., 2023

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Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.13679-13688

2022

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IEEE_Xplore

Advanced Machine Learning and Deep Learning Approaches for Remote Sensing

Jeon, Gwanggil

2023

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Synthetic Data for Deep Learning: Generate Synthetic Data for Decision Making and Applications with Python and R

1, 2023

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Learning to Understand Remote Sensing Images: Volume 2

Interpretability in Deep Learning

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

System Design for Epidemics Using Machine Learning and Deep Learning

Deep Generative Modeling

Fundamentals of Machine Learning and Deep Learning in Medicine

WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning

Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics

Testing DNN Image Classifiers for Confusion & Bias Errors

Self-Checking Deep Neural Networks in Deployment

Deep Learning

Neural Networks and Deep Learning: A Textbook

A machine learning based approach to identify SQL injection vulnerabilities

Elements of Dimensionality Reduction and Manifold Learning

CC2Vec: Distributed Representations of Code Changes

Deep Learning: A Beginners' Guide

Generative Adversarial Attack on Ensemble Clustering

Applied Machine Learning

Deep Learning in Personalized Healthcare and Decision Support

Semantically Enhanced Software Traceability Using Deep Learning Techniques

Algebraic Structures in Natural Language

Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks

Advanced Machine Learning and Deep Learning Approaches for Remote Sensing

Synthetic Data for Deep Learning: Generate Synthetic Data for Decision Making and Applications with Python and R

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