Irene Yu-Hua Gu

Irene Yu-Hua Gu

Chalmers tekniska högskola

H-index: 41

Europe-Sweden

About Irene Yu-Hua Gu

Irene Yu-Hua Gu, With an exceptional h-index of 41 and a recent h-index of 28 (since 2020), a distinguished researcher at Chalmers tekniska högskola, specializes in the field of image analysis and computer vision, pattern classification and machine learning, signal processing theroy and application to power system disturbance analysis, stochastic image modeling, tracking and surveillance.

His recent articles reflect a diverse array of research interests and contributions to the field:

Support vector machine for classification of households' heating type using load curves

Hierarchical LSTM-Based Classification of Household Heating Types Using Measurement Data

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

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

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

A framework based on machine learning for analytics of voltage quality disturbances

Introduction to deep learning in clinical neuroscience

Visualizing the results from Unsupervised Deep Learning for the analysis of power-Quality Data

Irene Yu-Hua Gu Information

University

Position

Professor of Image/Signal Processing

Citations(all)

9791

Citations(since 2020)

3257

Cited By

10880

hIndex(all)

41

hIndex(since 2020)

28

i10Index(all)

113

i10Index(since 2020)

54

Email

University Profile Page

Chalmers tekniska högskola

Google Scholar

View Google Scholar Profile

Irene Yu-Hua Gu Skills & Research Interests

image analysis and computer vision

pattern classification and machine learning

signal processing theroy and application to power system disturbance analysis

stochastic image modeling

tracking and surveillance

Top articles of Irene Yu-Hua Gu

Title

Journal

Author(s)

Publication Date

Support vector machine for classification of households' heating type using load curves

Kristoffer Fürst

Peiyuan Chen

I Yu-Hua Gu

2023/1/1

Hierarchical LSTM-Based Classification of Household Heating Types Using Measurement Data

IEEE Transactions on Smart Grid

Kristoffer Fürst

Peiyuan Chen

Irene Yu-Hua Gu

2023/7/18

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

Frontiers in Neuroscience

Muhaddisa Barat Ali

Irene Yu-Hua Gu

Mitchel S Berger

Asgeir Store Jakola

2023/5/23

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

Sensors

Muhaddisa Barat Ali

Xiaohan Bai

Irene Yu-Hua Gu

Mitchel S Berger

Asgeir Store Jakola

2022/7/15

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

BMC Biomedical Engineering

Muhaddisa Barat Ali

Irene Yu-Hua Gu

Alice Lidemar

Mitchel S Berger

Georg Widhalm

...

2022/5/19

A framework based on machine learning for analytics of voltage quality disturbances

Energies

Azam Bagheri

Roger Alves de Oliveira

Math HJ Bollen

Irene YH Gu

2022/2/10

Introduction to deep learning in clinical neuroscience

Eddie de Dios

Muhaddisa Barat Ali

Irene Yu-Hua Gu

Tomás Gomez Vecchio

Chenjie Ge

...

2022

Visualizing the results from Unsupervised Deep Learning for the analysis of power-Quality Data

Roger A de Oliveira

Chenjie Ge

Irene YH Gu

Math HJ Bollen

2021/9/20

Estimation of frequency-dependent impedances in power grids by deep LSTM autoencoder and random forest

Energies

Azam Bagheri

Massimo Bongiorno

Irene YH Gu

Jan R Svensson

2021/6/25

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

Electric Power Systems Research

Chenjie Ge

Roger AD Oliveira

Irene YH Gu

Math HJ Bollen

2021/5/1

Automatic identification of different types of consumer configurations by using harmonic current measurements

Applied Sciences

Max Domagk

Irene Yu-Hua Gu

Jan Meyer

Peter Schegner

2021/4/16

Improved peak load estimation from single and multiple consumer categories

Kristoffer Fürst

Peiyuan Chen

Irene Yu-Hua Gu

Lang Tong

2020/9/22

Deep feature clustering for seeking patterns in daily harmonic variations

IEEE Transactions on Instrumentation and Measurement

Chenjie Ge

Roger Alves de Oliveira

Irene Yu-Hua Gu

Math HJ Bollen

2020/8/13

Domain mapping and deep learning from multiple MRI clinical datasets for prediction of molecular subtypes in low grade gliomas

Brain sciences

Muhaddisa Barat Ali

Irene Yu-Hua Gu

Mitchel S Berger

Johan Pallud

Derek Southwell

...

2020/7/18

Enlarged training dataset by pairwise GANs for molecular-based brain tumor classification

IEEE access

Chenjie Ge

Irene Yu-Hua Gu

Asgeir Store Jakola

Jie Yang

2020/1/28

Deep semi-supervised learning for brain tumor classification

BMC Medical Imaging

Chenjie Ge

Irene Yu-Hua Gu

Asgeir Store Jakola

Jie Yang

2020/12

See List of Professors in Irene Yu-Hua Gu University(Chalmers tekniska högskola)