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A 3-D Attention-Enhanced Hybrid Neural Network for Turbofan Engine Remaining Life Prediction Using CNN and BiLSTM Models

IEEE sensors journal, 2024-07, Vol.24 (14), p.21893-21905

2024

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5th Workshop on Explainable User Models and Personalised Systems (ExUM)

Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023, p.196-198

2023

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Abnormal Logical Representation Learning for Intrusion Detection in Industrial Control Systems

IEEE transactions on industrial informatics, 2024-08, Vol.20 (8), p.10624-10635

2024

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Above Ground Biomass Estimation By Multi-Source Data Based On Interpretable DNN Model

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.1894-1897

2023

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AC.RankA: Rule Ranking Method via Aggregation of Objective Measures for Associative Classifiers

IEEE access, 2024, Vol.12, p.88862-88882

2024

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Academic Success Prediction based on Important Student Data Selected via Multi-objective Evolutionary Computation

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI), 2020, p.370-373

2020

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Accelerated design of MTX alloys with targeted magnetostructural properties through interpretable machine learning

Acta materialia, 2022-06, Vol.231, Article 117891

2022

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Accuracy, uncertainty, and interpretability assessments of ANFIS models to predict dust concentration in semi-arid regions

Environmental science and pollution research international, 2021-02, Vol.28 (6), p.6796-6810

2021

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Accurate and highly interpretable prediction of gene expression from histone modifications

BMC bioinformatics, 2022-04, Vol.23 (1), p.151-151, Article 151

2022

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Accurate and interpretable gene expression imputation on scRNA-seq data using IGSimpute

Briefings in bioinformatics, 2023-05, Vol.24 (3)

2023

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An Accurate and Interpretable Lifetime Prediction Method for Batteries using Extreme Gradient Boosting Tree and TreeExplainer

2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 2021, p.1042-1048

2021

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ACE - An Anomaly Contribution Explainer for Cyber-Security Applications

2019 IEEE International Conference on Big Data (Big Data), 2019, p.1991-2000

2019

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Acne detection and severity evaluation with interpretable convolutional neural network models

Technology and health care, 2022-01, Vol.30 (S1), p.143-153

2022

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The acquisition of L3 French present simple and present progressive by adult L1 Chinese speakers of L2 English

International review of applied linguistics in language teaching, IRAL, 2023-06, Vol.61 (2), p.655-689

Kong, Stano

2023

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AD-CAM: Enhancing Interpretability of Convolutional Neural Networks With a Lightweight Framework - From Black Box to Glass Box

IEEE journal of biomedical and health informatics, 2024-01, Vol.28 (1), p.514-525

2024

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Ada-Sise: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.1715-1719

2021

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Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences

BMC medical informatics and decision making, 2020-10, Vol.20 (1), p.250-250, Article 250

2020

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AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, p.35-45

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Adaptive and Explainable Deep Learning-Based Rapid Identification of Architectural Cracks

IEEE access, 2024, Vol.12, p.111741-111751

2024

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Adaptive Perturbation-Driven Adversarial Training

2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL), 2024, p.993-997

2024

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Adaptive Sparse Semantic Representation for Waste Electrical Appliance Recognition

2024 14th Asian Control Conference (ASCC), 2024, p.1-6

2024

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An Adaptive Time Series Forecasting Model for Aircraft Component Supply Chain Demand Prediction

2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT), 2024, p.1020-1023

2024

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ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial-Spectral Maps

IEEE transactions on geoscience and remote sensing, 2021-02, Vol.59 (2), p.1733-1744

2021

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Adding Explainability to Machine Learning Models to Detect Chronic Kidney Disease

2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), 2022, p.297-302

2022

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A 3-D Attention-Enhanced Hybrid Neural Network for Turbofan Engine Remaining Life Prediction Using CNN and BiLSTM Models

5th Workshop on Explainable User Models and Personalised Systems (ExUM)

Abnormal Logical Representation Learning for Intrusion Detection in Industrial Control Systems

Above Ground Biomass Estimation By Multi-Source Data Based On Interpretable DNN Model

AC.RankA: Rule Ranking Method via Aggregation of Objective Measures for Associative Classifiers

Academic Success Prediction based on Important Student Data Selected via Multi-objective Evolutionary Computation

Accelerated design of MTX alloys with targeted magnetostructural properties through interpretable machine learning

Accuracy, uncertainty, and interpretability assessments of ANFIS models to predict dust concentration in semi-arid regions

Accurate and highly interpretable prediction of gene expression from histone modifications

Accurate and interpretable gene expression imputation on scRNA-seq data using IGSimpute

An Accurate and Interpretable Lifetime Prediction Method for Batteries using Extreme Gradient Boosting Tree and TreeExplainer

ACE - An Anomaly Contribution Explainer for Cyber-Security Applications

Acne detection and severity evaluation with interpretable convolutional neural network models

The acquisition of L3 French present simple and present progressive by adult L1 Chinese speakers of L2 English

AD-CAM: Enhancing Interpretability of Convolutional Neural Networks With a Lightweight Framework - From Black Box to Glass Box

Ada-Sise: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks

Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences

AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

Adaptive and Explainable Deep Learning-Based Rapid Identification of Architectural Cracks

Adaptive Perturbation-Driven Adversarial Training

Adaptive Sparse Semantic Representation for Waste Electrical Appliance Recognition

An Adaptive Time Series Forecasting Model for Aircraft Component Supply Chain Demand Prediction

ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial-Spectral Maps

Adding Explainability to Machine Learning Models to Detect Chronic Kidney Disease

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