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SleepXAI: An explainable deep learning approach for multi-class sleep stage identification

Applied intelligence (Dordrecht, Netherlands), 2023-07, Vol.53 (13), p.16830-16843

2023

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CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection

Sensors (Basel, Switzerland), 2023-09, Vol.23 (18), p.7734

2023

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Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities

Knowledge-based systems, 2023-03, Vol.263, p.110273, Article 110273

2023

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Can Interpretable Reinforcement Learning Manage Prosperity Your Way?

AI (Basel), 2022-06, Vol.3 (2), p.526-537

2022

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Reinforcement Learning Your Way: Agent Characterization through Policy Regularization

AI (Basel), 2022-03, Vol.3 (2), p.250-259

2022

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Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks

Electronics (Basel), 2023-04, Vol.12 (7), p.1517

2023

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Reinforcement learning with intrinsic affinity for personalized prosperity management

Digital finance, 2022, Vol.4 (2-3), p.241-262

2022

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Segmenting mangrove ecosystems drone images using SLIC superpixels

Geocarto international, 2019-12, Vol.34 (14), p.1648-1662

2019

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Encoding subcomponents in cooperative co-evolutionary recurrent neural networks

Neurocomputing (Amsterdam), 2011-10, Vol.74 (17), p.3223-3234

2011

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Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter

Sensors (Basel, Switzerland), 2023-12, Vol.23 (24), p.9679

2023

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Controller Performance Monitoring: A Survey of Problems and a Review of Approaches from a Data-Driven Perspective with a Focus on Oscillations Detection and Diagnosis

Industrial & engineering chemistry research, 2022-12, Vol.61 (49), p.17735-17765

2022

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Online detrended fluctuation analysis and improved empirical wavelet transform for real-time oscillations detection in industrial control loops

Computers & chemical engineering, 2023-04, Vol.172, p.108173, Article 108173

2023

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Extracting salient features for network intrusion detection using machine learning methods

South African computer journal = Suid-Afrikaanse rekenaartydskrif, 2014-06, Vol.52 (52)

2014

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Constructing deterministic finite-state automata in recurrent neural networks

Journal of the ACM, 1996-11, Vol.43 (6), p.937-972

1996

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Extraction of rules from discrete-time recurrent neural networks

Neural networks, 1996, Vol.9 (1), p.41-52

1996

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Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality

2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, p.1-5

2021

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Data driven approach for the management of wind and solar energy integrated electrical distribution network with high penetration of electric vehicles

Journal of cleaner production, 2023-10, Vol.421, p.138467, Article 138467

2023

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Remote sensing of mangroves using unmanned aerial vehicles: current state and future directions

Journal of spatial science, 2021-05, Vol.66 (2), p.195-212

2021

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Equivalence in knowledge representation: automata, recurrent neural networks, and dynamical fuzzy systems

Proceedings of the IEEE, 1999, Vol.87 (9), p.1623-1640

1999

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IEEE_Xplore

Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders

2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2022, p.94-99

2022

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Towards artificial virtuous agents: games, dilemmas and machine learning

Ai and ethics (Online), 2023-08, Vol.3 (3), p.663-672

2023

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Cognitive Biases as Boosters - Using Cognitive Biases to Improve Communication Recall for Emmi Jogurtpur

Marketing Review St. Gallen, 2022, Vol.39 (4), p.18-23

2022

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Automatic Detection of Film Orientation with Support Vector Machines

Developments in Applied Artificial Intelligence, 2002, p.36-46

2002

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Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues

Artificial intelligence in medicine, 2003-06, Vol.28 (2), p.121-140

2003

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Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data

Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference, 2013, p.218-224

2013

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SleepXAI: An explainable deep learning approach for multi-class sleep stage identification

CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection

Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities

Can Interpretable Reinforcement Learning Manage Prosperity Your Way?

Reinforcement Learning Your Way: Agent Characterization through Policy Regularization

Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks

Reinforcement learning with intrinsic affinity for personalized prosperity management

Segmenting mangrove ecosystems drone images using SLIC superpixels

Encoding subcomponents in cooperative co-evolutionary recurrent neural networks

Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter

Controller Performance Monitoring: A Survey of Problems and a Review of Approaches from a Data-Driven Perspective with a Focus on Oscillations Detection and Diagnosis

Online detrended fluctuation analysis and improved empirical wavelet transform for real-time oscillations detection in industrial control loops

Extracting salient features for network intrusion detection using machine learning methods

Constructing deterministic finite-state automata in recurrent neural networks

Extraction of rules from discrete-time recurrent neural networks

Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality

Data driven approach for the management of wind and solar energy integrated electrical distribution network with high penetration of electric vehicles

Remote sensing of mangroves using unmanned aerial vehicles: current state and future directions

Equivalence in knowledge representation: automata, recurrent neural networks, and dynamical fuzzy systems

Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders

Towards artificial virtuous agents: games, dilemmas and machine learning

Cognitive Biases as Boosters - Using Cognitive Biases to Improve Communication Recall for Emmi Jogurtpur

Automatic Detection of Film Orientation with Support Vector Machines

Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues

Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data

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