I. Gu

发表

The use of time-varying AR models for the characterization of voltage disturbances

I. Gu, M. Bollen, E. Styvaktakis, 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

Statistical modeling of complex backgrounds for foreground object detection

Qi Tian, Weimin Huang, Irene Y. H. Gu, 2004, IEEE Transactions on Image Processing.

Determining the True Harmonic Current Contribution of a Customer in a Power Distribution

R. P. Bingham, G. Venayagamoorthy, R. Harley, 2015 .

Video Image Compression and Motion Compensation Using Multiresolution Image Features and Classified VQ

Rolando Carrasco, Irene Yu-Hua Gu, W. Hermsen, 1995 .

Chapter 5: Online Learning and Robust Visual Tracking using Local Features and Global Appearances of Video Objects

Irene Yu-Hua Gu, I. Gu, Z. H. Khan, 2011 .

Domain-shift tracking: Online learning and visual object tracking on smooth manifolds

I. Gu, Z. H. Khan, 2014, 2014 International Conference on Signal Processing and Integrated Networks (SPIN).

Origin of Power Quality Variations

Irene Yu-Hua Gu, Math H. J. Bollen, I. Gu, 2006 .

Trends, Challenges and Opportunities in Power Quality Research

Paulo F. Ribeiro, Carlos A. Duque, Math Bollen, 2010 .

Employing Particle Filters on Riemannian Manifolds for Online Domain-Shift Object Learning and Occlusion Handling

I. Gu, Z. H. Khan, 2014, ACM/IEEE International Conference on Distributed Smart Cameras.

Efficient planar object tracking and parameter estimation using compactly represented cubic B-spline curves

Irene Y. H. Gu, Tardi Tjahjadi, I. Gu, 1999, IEEE Trans. Syst. Man Cybern. Part A.

Analysis and Classification of Power Quality Disturbances: Ideas, Methods and Technquies

Irene Yu-Hua Gu, Math Bollen, I. Gu, 2006 .

USING SLICE-BASED DEEP LEARNING AND FUSION OF MULTI-MODAL MR IMAGES

I. Gu, Jie Yang, A. Jakola, 2018 .

Prediction of glioma-subtypes: comparison of performance on a DL classifier using bounding box areas versus annotated tumors

Muhaddisa Barat Ali, M. Berger, I. Gu, 2022, BMC biomedical engineering.

Video-based tracking and quantified assessment of spontaneous limb movements in neonates

Long Xu, Irene Y. H. Gu, Magnus Thordstein, 2015, 2015 17th International Conference on E-health Networking, Application & Services (HealthCom).

Processing of Stationary Signals

Irene Yu-Hua Gu, Math H. J. Bollen, I. Gu, 2006 .

A Feasibility Study on Deep Learning Based Brain Tumor Segmentation Using 2D Ellipse Box Areas

Muhaddisa Barat Ali, M. Berger, I. Gu, 2022, Sensors.

Book Review: Using MATLAB, SIMULINK and Control System Toolbox — A practical approach:

Irene Y. H. Gu, I. Gu, 1997 .

Optimal Experiment Design for Monoexponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging

S. Maier, I. Gu, A. Mehnert, 2015, BioMed research international.

Automatic classification of power network disturbances by using an algorithm based on statistical learning theory

Irene Yu-Hua Gu, Math Bollen, Peter G. V. Axelberg, 2006 .

Improved characterization of multi-stage voltage dips based on the space phasor model

Irene Yu-Hua Gu, Math Bollen, Azam Bagheri, 2018 .

A Robust Particle Filter-Based Method for Tracking Single Visual Object Through Complex Scenes Using Dynamical Object Shape and Appearance Similarity

Irene Y. H. Gu, Andrew G. Backhouse, Zulfiqar Hassan Khan, 2011, J. Signal Process. Syst..

Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters

Irene Y. H. Gu, Andrew G. Backhouse, Zulfiqar Hassan Khan, 2011, IEEE Transactions on Circuits and Systems for Video Technology.

An Efficient Sequential Approach to Tracking Multiple Objects Through Crowds for Real-Time Intelligent CCTV Systems

Qi Tian, Weimin Huang, Irene Y. H. Gu, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Domain Mapping and Deep Learning from Multiple MRI Clinical Datasets for Prediction of Molecular Subtypes in Low Grade Gliomas

Johan Pallud, Irene Yu-Hua Gu, Asgeir Store Jakola, 2020, Brain sciences.

Learning full-range affinity for diffusion-based saliency detection

Jie Yang, Irene Y. H. Gu, Keren Fu, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Learning and Multi-Sensor Fusion for Glioma Classification Using Multistream 2D Convolutional Networks

Jie Yang, Irene Y. H. Gu, Chenjie Ge, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Introduction to Deep Learning in Clinical Neuroscience.

Muhaddisa Barat Ali, Tomás Gómez Vecchio, I. Gu, 2021, Acta neurochirurgica. Supplement.

Deep semi-supervised learning for brain tumor classification

Jie Yang, Chenjie Ge, Irene Yu-Hua Gu, 2020, BMC Medical Imaging.

Automatic Classification of Wood Defects Using Support Vector Machines

Henrik Andersson, Irene Y. H. Gu, Raúl Vicen, 2008, ICCVG.

Infrared detection of buried landmines based on texture modeling

Irene Yu-Hua Gu, M. Lundberg, Lennart Svensson, 2001, SPIE Defense + Commercial Sensing.

Human fall detection in videos via boosting and fusing statistical features of appearance, shape and motion dynamics on Riemannian manifolds with applications to assisted living

Irene Y. H. Gu, Yixiao Yun, I. Gu, 2016, Comput. Vis. Image Underst..

Unsupervised deep learning and analysis of harmonic variation patterns using big data from multiple locations

Chenjie Ge, Math H.J. Bollen, Roger A.D. Oliveira, 2021, Electric Power Systems Research.

Recursive error-compensated dynamic eigenbackground learning and adaptive background subtraction in video

Pengfei Shi, Irene Yu-Hua Gu, Zhifei Xu, 2008 .

Efficient Adaptive Background Subtraction Based on Multi-resolution Background Modelling and Updating

Irene Y. H. Gu, Liyuan Li, Ruijiang Luo, 2007, PCM.

An Eigenbackground Subtraction Method Using Recursive Error Compensation

Pengfei Shi, Irene Y. H. Gu, Zhifei Xu, 2006, PCM.

Deepside: A general deep framework for salient object detection

Qijun Zhao, Irene Yu-Hua Gu, Jie Yang, 2019, Neurocomputing.

Joint Random Sample Consensus and Multiple Motion Models for Robust Video Tracking

Irene Y. H. Gu, Petter Strandmark, I. Gu, 2009, SCIA.

Analysing Video Sequences using the Spatio-temporal Volume

I. Gu, T. Tjahjadi, V. Gui, 2004 .

Multi-stream multi-scale deep convolutional networks for Alzheimer's disease detection using MR images

Irene Yu-Hua Gu, Chenjie Ge, Qixun Qu, 2019, Neurocomputing.

A novel federated deep learning scheme for glioma and its subtype classification

Muhaddisa Barat Ali, I. Gu, A. Jakola, 2023, Frontiers in Neuroscience.

Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification

Jie Yang, Chenjie Ge, Irene Yu-Hua Gu, 2020, IEEE Access.

Spectral salient object detection

Xiangjian He, Jie Yang, Chen Gong, 2014, 2014 IEEE International Conference on Multimedia and Expo (ICME).

Saliency Detection by Fully Learning a Continuous Conditional Random Field

Jie Yang, Irene Y. H. Gu, Keren Fu, 2017, IEEE Transactions on Multimedia.

A LSTM-based deep learning method with application to voltage dip classification

Math H.J. Bollen, Azam Bagheri, Mahmood Nazari, 2018, 2018 18th International Conference on Harmonics and Quality of Power (ICHQP).

Refinet: A Deep Segmentation Assisted Refinement Network for Salient Object Detection

Qijun Zhao, Irene Yu-Hua Gu, Keren Fu, 2019, IEEE Transactions on Multimedia.

Video-based detection and analysis of driver distraction and inattention

Yixiao Yun, Zulfiqar Hasan Khan, Irene Y. H. Gu, 2014, 2014 International Conference on Signal Processing and Integrated Networks (SPIN).

Nonlinear Dynamic Model for Visual Object Tracking on Grassmann Manifolds With Partial Occlusion Handling

Irene Y. H. Gu, Zulfiqar Hassan Khan, I. Gu, 2013, IEEE Transactions on Cybernetics.

Classification of Underlying Causes of Power Quality Disturbances: Deterministic versus Statistical Methods

Irene Y. H. Gu, Math H. J. Bollen, Emmanouil Styvaktakis, 2007, EURASIP J. Adv. Signal Process..

Foreground object detection from videos containing complex background

Qi Tian, Weimin Huang, Irene Y. H. Gu, 2003, MULTIMEDIA '03.

On high order tensor-based diffusivity profile estimation

Irene Y. H. Gu, Andrew Mehnert, Mohammad Alipoor, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Estimating Interharmonics by Using Sliding-Window ESPRIT

M.H.J. Bollen, I.Y.-H. Gu, I. Gu, 2008, IEEE Transactions on Power Delivery.

Artificial intelligence and ambient intelligence

Matjaz Gams, Irene Y. H. Gu, Andrés Muñoz Ortega, 2019, J. Ambient Intell. Smart Environ..

Estimation of Frequency-Dependent Impedances in Power Grids by Deep LSTM Autoencoder and Random Forest

Massimo Bongiorno, Irene Y. H. Gu, Azam Bagheri, 2021, Energies.

Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations

Chenjie Ge, Math H. J. Bollen, Irene Yu-Hua Gu, 2021, IEEE Transactions on Instrumentation and Measurement.

Support Vector Machine for Classification of Voltage Disturbances

Irene Yu-Hua Gu, M.H.J. Bollen, P.G.V. Axelberg, 2007, IEEE Transactions on Power Delivery.

Automatic classification of power system events using RMS voltage measurements

M.H.J. Bollen, E. Styvaktakis, I.Y.H. Gu, 2002, IEEE Power Engineering Society Summer Meeting,.

A Robust Transform-Domain Deep Convolutional Network for Voltage Dip Classification

Irene Y. H. Gu, Ebrahim Balouji, Math H. J. Bollen, 2018, IEEE Transactions on Power Delivery.

An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images

Irene Y. H. Gu, Asgeir Store Jakola, Karl Bäckström, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Signal processing of power quality disturbances

Irene Yu-Hua Gu, Math Bollen, I. Gu, 2006 .

Online domain-shift learning and object tracking based on nonlinear dynamic models and particle filters on Riemannian manifolds

Irene Y. H. Gu, Zulfiqar Hassan Khan, I. Gu, 2014, Comput. Vis. Image Underst..

Multi-View ML Object Tracking With Online Learning on Riemannian Manifolds by Combining Geometric Constraints

Hamid K. Aghajan, Irene Y. H. Gu, Yixiao Yun, 2013, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Visual trackingand dynamic learning on the Grassmann manifold with inference from a Bayesian framework and state space models

Irene Y. H. Gu, Zulfiqar Hassan Khan, I. Gu, 2011, 2011 18th IEEE International Conference on Image Processing.

Tracking visual and infrared objects using joint Riemannian manifold appearance and affine shape modeling

Irene Y. H. Gu, Zulfiqar Hassan Khan, I. Gu, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

VISUAL TRACKING AND DYNAMIC LEARNING ON THE GRASSMANNMANIFOLDWITH INFERENCE FROM A BAYESIAN FRAMEWORK AND STATE SPACE MODELS

I. Gu, Z. H. Khan, 2011 .

On the Empirical Estimation of Utility Distribution Damping Parameters Using Power Quality Waveform Data

Irene Y. H. Gu, Surya Santoso, Kyeon Hur, 2007, EURASIP J. Adv. Signal Process..

Pedestrian Detection Using Augmented Training Data

Irene Y. H. Gu, Jonas Fredriksson, Patrik Andersson, 2014, 2014 22nd International Conference on Pattern Recognition.

Regularized optimization for joint super-resolution and high dynamic range image reconstruction in a perceptually uniform domain

Irene Y. H. Gu, Mats Viberg, Tomas Bengtsson, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Graph Construction for Salient Object Detection in Videos

Jie Yang, Chen Gong, Irene Y. H. Gu, 2014, 2014 22nd International Conference on Pattern Recognition.

On waveform distortion in the frequency range of 2 kHz–150 kHz—Review and research challenges

Paulo F. Ribeiro, Irene Yu-Hua Gu, Math Bollen, 2017 .

Analysis of Voltage Dips for Event Identification

Irene Yu-Hua Gu, Math Bollen, E. Styvaktakis, 2000 .

Normalized cut-based saliency detection by adaptive multi-level region merging

Jie Yang, Chen Gong, Irene Y. H. Gu, 2015, IEEE Transactions on Image Processing.

Visual Tracking via Nonnegative Regularization Multiple Locality Coding

Jie Yang, Fanghui Liu, Tao Zhou, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Wood defect classification based on image analysis and support vector machines

Henrik Andersson, Irene Yu-Hua Gu, Raul Vicen, 2010, Wood Science and Technology.

Object Tracking using Incremental 2D-PCA Learning and ML Estimation

Pengfei Shi, Irene Y. H. Gu, Tiesheng Wang, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Classification of bird species by using key song searching: a comparative study

Irene Y. H. Gu, Andreas Franzen, I. Gu, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Automatic Surveillance and Analysis of Snow and Ice Coverage on Electrical Insulators of Power Transmission Lines

Irene Y. H. Gu, Unai Sistiaga, Sonja M. Berlijn, 2008, ICCVG.

Novel Segmentation Technique for Measured Three-Phase Voltage Dips

Math Bollen, Irene Yu-Hua Gu, Antonio Moreno-Munoz, 2015 .

A Framework Based on Machine Learning for Analytics of Voltage Quality Disturbances

I. Gu, M. Bollen, A. Bagheri, 2022, Energies.

Riemannian manifold-valued part-based features and geodesic-induced kernel machine for activity classification dedicated to assisted living

Irene Y. H. Gu, Yixiao Yun, I. Gu, 2017, Comput. Vis. Image Underst..

Exploiting riemannian manifolds for daily activity classification in video towards health care

Irene Y. H. Gu, Yixiao Yun, I. Gu, 2016, 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom).

Human Activity Recognition in Images using SVMs and Geodesics on Smooth Manifolds

Hamid K. Aghajan, Irene Y. H. Gu, Jie Yang, 2014, ICDSC.

Visual object tracking with online learning on Riemannian manifolds by one-class support vector machines

Jie Yang, Irene Y. H. Gu, Yixiao Yun, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Riemannian manifold-based support vector machine for human activity classification in images

Hamid K. Aghajan, Irene Y. H. Gu, Yixiao Yun, 2013, 2013 IEEE International Conference on Image Processing.

Face tracking using Rao-Blackwellized particle filter and pose-dependent probabilistic PCA

Pengfei Shi, Irene Y. H. Gu, Tiesheng Wang, 2008, 2008 15th IEEE International Conference on Image Processing.

Time-dependent bag of words on manifolds for geodesic-based classification of video activities towards assisted living and healthcare

Irene Y. H. Gu, Yixiao Yun, I. Gu, 2017, EURASIP Journal on Image and Video Processing.

Book Review: An Introduction to Source Coding:

Irene Y. H. Gu, I. Gu, 1994 .

Foreground object detection in changing background based on color co-occurrence statistics

Qi Tian, Weimin Huang, Irene Y. H. Gu, 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

Introduction to Deep Learning in Clinical Neuroscience.

Irene Yu-Hua Gu, Chenjie Ge, Muhaddisa Barat Ali, 2021, Acta neurochirurgica. Supplement.

Cross-Modality Augmentation of Brain Mr Images Using a Novel Pairwise Generative Adversarial Network for Enhanced Glioma Classification

Irene Y. H. Gu, Chenjie Ge, Asgeir Store Jakola, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Tests and analysis of a novel segmentation method using measurement data

Math Bollen, Irene Yu-Hua Gu, Aurora Gil-de-Castro, 2015 .

Joint Feature Correspondences and Appearance Similarity for Robust Visual Object Tracking

Irene Y. H. Gu, Zulfiqar Hassan Khan, I. Gu, 2010, IEEE Transactions on Information Forensics and Security.

Super-resolution reconstruction of high dynamic range images in a perceptually uniform domain

Irene Yu-Hua Gu, Tomas McKelvey, Tomas Bengtsson, 2013 .

Super-Resolution reconstruction of High Dynamic Range images with perceptual weighting of errors

Irene Y. H. Gu, Tomas McKelvey, Tomas Bengtsson, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Performance evaluation for frequency estimation of transients using the ESPRIT: Measured noise versus white noise

M.H.J. Bollen, I.Y.H. Gu, S.K. Ronnberg, 2008, 2008 13th International Conference on Harmonics and Quality of Power.

On the Analysis of Voltage and Current Transients in Three-Phase Power Systems

Irene Yu-Hua Gu, M.H.J. Bollen, I. Gu, 2007, IEEE Transactions on Power Delivery.

Human fall detection using segment-level cnn features and sparse dictionary learning

Jie Yang, Irene Y. H. Gu, Chenjie Ge, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Salient object detection using normalized cut and geodesics

Pengfei Shi, Jie Yang, Chen Gong, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

A Bayesian framework-based end-to-end packet loss prediction in IP networks

Irene Y. H. Gu, Andrew G. Backhouse, I. Gu, 2004, IEEE Sixth International Symposium on Multimedia Software Engineering.

Multi-stream Convolutional Autoencoder and 2D Generative Adversarial Network for Glioma Classification

Irene Y. H. Gu, Asgeir Store Jakola, Muhaddisa Barat Ali, 2019, CAIP.