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Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability

IEEE access, 2020, Vol.8, p.123087-123097

2020

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Artifact Reduction in 3D and 4D Cone-Beam Computed Tomography Images With Deep Learning: A Review

IEEE access, 2024, Vol.12, p.10281-10295

2024

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Design Patterns for Resource-Constrained Automated Deep-Learning Methods

AI (Basel), 2020-12, Vol.1 (4), p.510-538

2020

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Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels

IEEE journal of selected topics in signal processing, 2016-08, Vol.10 (5), p.854-864

2016

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Classification of Mammograms Using Texture and CNN Based Extracted Features

Journal of biomimetics, biomaterials and biomedical engineering, 2019-07, Vol.42, p.79-97

2019

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Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

IEEE transactions on affective computing, 2021-07, Vol.12 (3), p.743-760

2021

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Bias, awareness, and ignorance in deep-learning-based face recognition

Ai and ethics (Online), 2022-08, Vol.2 (3), p.509-522

2022

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Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks

Medical physics (Lancaster), 2023-10, Vol.50 (10), p.6228-6242

2023

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The S-transform using a new window to improve frequency and time resolutions

Signal, image and video processing, 2014-03, Vol.8 (3), p.533-541

2014

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Deep Learning in the Wild

Artificial Neural Networks in Pattern Recognition, 2018, Vol.11081, p.17-38

2018

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Adaptive confidence learning for the personalization of pain intensity estimation systems

Evolving systems, 2017-03, Vol.8 (1), p.71-83

2017

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Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps

Artificial Neural Networks in Pattern Recognition, 2018, Vol.11081, p.346-358

2018

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How (Not) to Measure Bias in Face Recognition Networks

Artificial Neural Networks in Pattern Recognition, 2020, Vol.12294, p.125-137

2020

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Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction

Information and Communication Technology for Development for Africa, 2018, Vol.244, p.89-98

2018

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Automated Machine Learning in Practice: State of the Art and Recent Results

2019 6th Swiss Conference on Data Science (SDS), 2019, p.31-36

2019

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Learning Neural Models for End-to-End Clustering

Artificial Neural Networks in Pattern Recognition, 2018, Vol.11081, p.126-138

2018

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Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals

Artificial Neural Networks in Pattern Recognition, 2016, Vol.9896, p.269-284

2016

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Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness

Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2021, Vol.12641, p.268-275

2021

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Pain recognition with camera photoplethysmography

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017, p.1-5

2017

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Multimodal fusion including camera photoplethysmography for pain recognition

2017 International Conference on Companion Technology (ICCT), 2017, p.1-4

2017

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PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2021, p.1-7

2021

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Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation

2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 2017, p.854-859

2017

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Continuous Multimodal Human Affect Estimation using Echo State Networks

Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016, p.67-74

2016

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Unsupervised Learning and Simulation for Complexity Management in Business Operations

Applied Data Science, 2019, p.313-331

2019

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Efficacy of Radiofrequency Ablation in Autonomous Functioning Thyroid Nodules: A Comprehensive Systematic Review and Meta-analysis

Academic radiology, 2024-07

2024

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Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability

Artifact Reduction in 3D and 4D Cone-Beam Computed Tomography Images With Deep Learning: A Review

Design Patterns for Resource-Constrained Automated Deep-Learning Methods

Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels

Classification of Mammograms Using Texture and CNN Based Extracted Features

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

Bias, awareness, and ignorance in deep-learning-based face recognition

Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks

The S-transform using a new window to improve frequency and time resolutions

Deep Learning in the Wild

Adaptive confidence learning for the personalization of pain intensity estimation systems

Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps

How (Not) to Measure Bias in Face Recognition Networks

Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction

Automated Machine Learning in Practice: State of the Art and Recent Results

Learning Neural Models for End-to-End Clustering

Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals

Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness

Pain recognition with camera photoplethysmography

Multimodal fusion including camera photoplethysmography for pain recognition

PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis

Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation

Continuous Multimodal Human Affect Estimation using Echo State Networks

Unsupervised Learning and Simulation for Complexity Management in Business Operations

Efficacy of Radiofrequency Ablation in Autonomous Functioning Thyroid Nodules: A Comprehensive Systematic Review and Meta-analysis

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