Alexandros Iosifidis

Alexandros Iosifidis

Aarhus Universitet

H-index: 43

Europe-Denmark

About Alexandros Iosifidis

Alexandros Iosifidis, With an exceptional h-index of 43 and a recent h-index of 34 (since 2020), a distinguished researcher at Aarhus Universitet, specializes in the field of Statistical Machine Learning, Deep Learning, Computer Vision, Machine Learning for Sciences.

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

Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder

Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement

Deep Learning in Image Processing: Part 1—Types of Neural Networks, Image Segmentation

Efficient high-resolution deep learning: A survey

Deep Learning in Image Processing: Part 2—Image Enhancement, Reconstruction and Registration

Method and system for generation of interpretable time series with implicit neural representations

Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy

Geometric Deep Learning for Computer-Aided Design: A Survey

Alexandros Iosifidis Information

University

Position

Associate Professor Department of Electrical and Computer Engineering

Citations(all)

6443

Citations(since 2020)

5015

Cited By

2939

hIndex(all)

43

hIndex(since 2020)

34

i10Index(all)

134

i10Index(since 2020)

117

Email

University Profile Page

Aarhus Universitet

Google Scholar

View Google Scholar Profile

Alexandros Iosifidis Skills & Research Interests

Statistical Machine Learning

Deep Learning

Computer Vision

Machine Learning for Sciences

Top articles of Alexandros Iosifidis

Title

Journal

Author(s)

Publication Date

Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder

arXiv preprint arXiv:2401.12167

Nan Li

Alexandros Iosifidis

Qi Zhang

2024/1/19

Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement

Arian Bakhtiarnia

Qi Zhang

Alexandros Iosifidis

2024/4/14

Deep Learning in Image Processing: Part 1—Types of Neural Networks, Image Segmentation

Ruben Pauwels

Alexandros Iosifidis

2024/1/11

Efficient high-resolution deep learning: A survey

Arian Bakhtiarnia

Qi Zhang

Alexandros Iosifidis

2022

Deep Learning in Image Processing: Part 2—Image Enhancement, Reconstruction and Registration

Ruben Pauwels

Alexandros Iosifidis

2024/1/11

Method and system for generation of interpretable time series with implicit neural representations

2024/3/28

Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy

Mehdi Rafiei

Toby P Breckon

Alexandros Iosifidis

2024/3/17

Geometric Deep Learning for Computer-Aided Design: A Survey

arXiv preprint arXiv:2402.17695

Negar Heidari

Alexandros Iosifidis

2024/2/27

Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos

arXiv preprint arXiv:2305.15084

Błażej Leporowski

Arian Bakhtiarnia

Nicole Bonnici

Adrian Muscat

Luca Zanella

...

2023/5/24

Qualifying and raising anti-money laundering alarms with deep learning

Expert Systems with Applications

Rasmus Ingemann Tuffveson Jensen

Alexandros Iosifidis

2023/3/15

PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks

Arian Bakhtiarnia

Qi Zhang

Alexandros Iosifidis

2023/6/18

Recognition of defective mineral wool using pruned ResNet models

Mehdi Rafiei

Dat Thanh Tran

Alexandros Iosifidis

2023/7/18

Augmented bilinear network for incremental multi-stock time-series classification

Pattern Recognition

Mostafa Shabani

Dat Thanh Tran

Juho Kanniainen

Alexandros Iosifidis

2023/9/1

A synthetic data set to benchmark anti-money laundering methods

Scientific data

Rasmus Ingemann Tuffveson Jensen

Joras Ferwerda

Kristian Sand Jørgensen

Erik Rathje Jensen

Martin Borg

...

2023/9/28

Reinforcement learning for wind-farm flow control: Current state and future actions

Theoretical and Applied Mechanics Letters

Mahdi Abkar

Navid Zehtabiyan-Rezaie

Alexandros Iosifidis

2023/10/20

Crowd counting on heavily compressed images with curriculum pre-training

Arian Bakhtiarnia

Qi Zhang

Alexandros Iosifidis

2023/12/5

Uncertainty-Aware AB3DMOT by Variational 3D Object Detection

arXiv preprint arXiv:2302.05923

Illia Oleksiienko

Alexandros Iosifidis

2023/2/12

Variational neural networks

Procedia Computer Science

Illia Oleksiienko

Dat Thanh Tran

Alexandros Iosifidis

2023/1/1

Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition

arXiv preprint arXiv:2305.12796

Nan Li

Mehdi Bennis

Alexandros Iosifidis

Qi Zhang

2023/5/22

Dynamic split computing for efficient deep edge intelligence

Arian Bakhtiarnia

Nemanja Milošević

Qi Zhang

Dragana Bajović

Alexandros Iosifidis

2023/6/4

See List of Professors in Alexandros Iosifidis University(Aarhus Universitet)

Co-Authors

H-index: 91
I. Pitas

I. Pitas

Aristotle University of Thessaloniki

H-index: 52
Anastasios Tefas

Anastasios Tefas

Aristotle University of Thessaloniki

H-index: 49
Toke Thomas Høye

Toke Thomas Høye

Aarhus Universitet

H-index: 38
Nikos Nikolaidis

Nikos Nikolaidis

Aristotle University of Thessaloniki

H-index: 31
Turker Ince

Turker Ince

Izmir Ekonomi Üniversitesi

H-index: 30
Nikolaos Passalis

Nikolaos Passalis

Aristotle University of Thessaloniki

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