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Fuzzy Hoeffding Decision Tree for Data Stream Classification

International journal of computational intelligence systems, 2021-01, Vol.14 (1), p.946

2021

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Measuring Interpretability for Different Types of Machine Learning Models

Trends and Applications in Knowledge Discovery and Data Mining, p.295-308

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The Missing Pieces of Artificial Intelligence in Medicine

Trends in pharmacological sciences (Regular ed.), 2019-08, Vol.40 (8), p.555-564

2019

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An interpretable forecasting framework for energy consumption and CO2 emissions

Applied energy, 2022-12, Vol.328, p.120163, Article 120163

2022

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Crash risk prediction using sparse collision data: Granger causal inference and graph convolutional networks approaches

Expert systems with applications, 2024-09, p.125315, Article 125315

2024

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Deep learning with convolutional neural networks for EEG decoding and visualization

Human brain mapping, 2017-11, Vol.38 (11), p.5391-5420

2017

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A novel deep learning prediction model for concrete dam displacements using interpretable mixed attention mechanism

Advanced engineering informatics, 2021-10, Vol.50, p.101407, Article 101407

2021

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An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification

Expert systems with applications, 2019-08, Vol.128, p.84-95

2019

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Interpretability of deep convolutional neural networks on rolling bearing fault diagnosis

Measurement science & technology, 2022-05, Vol.33 (5), p.55005

2022

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Predicting transcription factor binding sites by a multi-modal representation learning method based on cross-attention network

Applied soft computing, 2024-11, Vol.166, p.112134, Article 112134

2024

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Investigating the performance of machine learning models combined with different feature selection methods to estimate the energy consumption of buildings

Energy and buildings, 2022-10, Vol.273, p.112408, Article 112408

2022

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A context-aware pedestrian trajectory prediction framework for automated vehicles

Transportation research. Part C, Emerging technologies, 2022-01, Vol.134, p.103453, Article 103453

2022

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Forecasting regional in-situ thermal conductivity of soil based on tree-based ensemble learning

International communications in heat and mass transfer, 2024-12, Vol.159, p.107996, Article 107996

2024

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Illuminating the Black Box: Interpreting Deep Neural Network Models for Psychiatric Research

Frontiers in psychiatry, 2020-10, Vol.11, p.551299-551299

Sheu, Yi-han

2020

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Artificial intelligence challenges for predicting the impact of mutations on protein stability

Current opinion in structural biology, 2022-02, Vol.72, p.161-168

2022

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Explainable Matrix - Visualization for Global and Local Interpretability of Random Forest Classification Ensembles

IEEE transactions on visualization and computer graphics, 2021-02, Vol.27 (2), p.1427-1437

2021

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Review of interpretable machine learning for process industries

Process safety and environmental protection, 2023-02, Vol.170, p.647-659

2023

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Interpretable machine learning for building energy management: A state-of-the-art review

Advances in applied energy, 2023-02, Vol.9, p.100123, Article 100123

2023

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Nonparametric feature impact and importance

Information sciences, 2024-01, Vol.653, p.119563, Article 119563

2024

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A novel machine-learning based framework for calibrating micromechanical fracture model of ultra-low cycle fatigue in steel structures

Engineering fracture mechanics, 2024-08, Vol.306, p.110200, Article 110200

2024

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A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign

Pattern recognition, 2022-01, Vol.121, p.108197-108197, Article 108197

2022

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Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework

Briefings in bioinformatics, 2021-07, Vol.22 (4)

2021

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An integrated approach of ensemble learning methods for stock index prediction using investor sentiments

Expert systems with applications, 2024-03, Vol.238, p.121710, Article 121710

2024

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Traffic speed prediction for urban transportation network: A path based deep learning approach

Transportation research. Part C, Emerging technologies, 2019-03, Vol.100, p.372-385

2019

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Attention-based full slice brain CT image diagnosis with explanations

Neurocomputing (Amsterdam), 2021-09, Vol.452 (6), p.263-274

2021

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Fuzzy Hoeffding Decision Tree for Data Stream Classification

Measuring Interpretability for Different Types of Machine Learning Models

The Missing Pieces of Artificial Intelligence in Medicine

An interpretable forecasting framework for energy consumption and CO2 emissions

Crash risk prediction using sparse collision data: Granger causal inference and graph convolutional networks approaches

Deep learning with convolutional neural networks for EEG decoding and visualization

A novel deep learning prediction model for concrete dam displacements using interpretable mixed attention mechanism

An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification

Interpretability of deep convolutional neural networks on rolling bearing fault diagnosis

Predicting transcription factor binding sites by a multi-modal representation learning method based on cross-attention network

Investigating the performance of machine learning models combined with different feature selection methods to estimate the energy consumption of buildings

A context-aware pedestrian trajectory prediction framework for automated vehicles

Forecasting regional in-situ thermal conductivity of soil based on tree-based ensemble learning

Illuminating the Black Box: Interpreting Deep Neural Network Models for Psychiatric Research

Artificial intelligence challenges for predicting the impact of mutations on protein stability

Explainable Matrix - Visualization for Global and Local Interpretability of Random Forest Classification Ensembles

Review of interpretable machine learning for process industries

Interpretable machine learning for building energy management: A state-of-the-art review

Nonparametric feature impact and importance

A novel machine-learning based framework for calibrating micromechanical fracture model of ultra-low cycle fatigue in steel structures

A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign

Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework

An integrated approach of ensemble learning methods for stock index prediction using investor sentiments

Traffic speed prediction for urban transportation network: A path based deep learning approach

Attention-based full slice brain CT image diagnosis with explanations

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