Dimitrios Michail

About Dimitrios Michail

Dimitrios Michail, With an exceptional h-index of 19 and a recent h-index of 15 (since 2020), a distinguished researcher at Harokopio University, specializes in the field of Graph Algorithms, Graph Mining, Algorithm Engineering, Machine Learning, Earth Observation.

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

Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks

FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2

Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment

Pluto: A global volcanic activity early warning system powered by large scale self-supervised deep learning on InSAR data

Earth System Deep Learning towards a Global Digital Twin of Wildfires

Televit: Teleconnection-driven transformers improve subseasonal to seasonal wildfire forecasting

Benchmarking and scaling of deep learning models for land cover image classification

Kuro Siwo: 12.1 billion under the water. A global multi-temporal satellite dataset for rapid flood mapping

Dimitrios Michail Information

University

Position

Asst. Professor Dept. of Informatics & Telematics

Citations(all)

1257

Citations(since 2020)

605

Cited By

853

hIndex(all)

19

hIndex(since 2020)

15

i10Index(all)

28

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Dimitrios Michail Skills & Research Interests

Graph Algorithms

Graph Mining

Algorithm Engineering

Machine Learning

Earth Observation

Top articles of Dimitrios Michail

Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks

arXiv preprint arXiv:2404.06437

2024/4/9

Dimitrios Michail
Dimitrios Michail

H-Index: 10

FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2024/3/27

Konstantinos Karantzalos
Konstantinos Karantzalos

H-Index: 21

Dimitrios Michail
Dimitrios Michail

H-Index: 10

Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment

arXiv preprint arXiv:2402.09816

2024/2/15

Dimitrios Michail
Dimitrios Michail

H-Index: 10

Pluto: A global volcanic activity early warning system powered by large scale self-supervised deep learning on InSAR data

EGU General Assembly Conference Abstracts

2023/5

Dimitrios Michail
Dimitrios Michail

H-Index: 10

Earth System Deep Learning towards a Global Digital Twin of Wildfires

EGU General Assembly Conference Abstracts

2023/2/22

Televit: Teleconnection-driven transformers improve subseasonal to seasonal wildfire forecasting

2023

Dimitrios Michail
Dimitrios Michail

H-Index: 10

Gustau Camps-Valls
Gustau Camps-Valls

H-Index: 56

Benchmarking and scaling of deep learning models for land cover image classification

ISPRS Journal of Photogrammetry and Remote Sensing

2023/1/1

Dimitrios Michail
Dimitrios Michail

H-Index: 10

Christos Tryfonopoulos
Christos Tryfonopoulos

H-Index: 6

Kuro Siwo: 12.1 billion under the water. A global multi-temporal satellite dataset for rapid flood mapping

arXiv preprint arXiv:2311.12056

2023/11/18

Dimitrios Michail
Dimitrios Michail

H-Index: 10

A Comparative Survey of Graph Databases and Software for Social Network Analytics: The Link Prediction Perspective

2023/10/13

Deep learning for global wildfire forecasting

arXiv preprint arXiv:2211.00534

2022/11/1

Dimitrios Michail
Dimitrios Michail

H-Index: 10

Detection of fake news campaigns using graph convolutional networks

International Journal of Information Management Data Insights

2022/11/1

Learning from synthetic InSAR with vision transformers: The case of volcanic unrest detection

IEEE Transactions on Geoscience and Remote Sensing

2022/6/8

Dimitrios Michail
Dimitrios Michail

H-Index: 10

Computationally efficient rehearsal for online continual learning

2022/5/15

A survey on the use of graph convolutional networks for combating fake news

Future Internet

2022/2/24

Iraklis Varlamis
Iraklis Varlamis

H-Index: 18

Dimitrios Michail
Dimitrios Michail

H-Index: 10

A Cloud-based Continual Learning System for Road Sign Classification in Autonomous Driving.

2023

Hephaestus: A large scale multitask dataset towards InSAR understanding

2022

Dimitrios Michail
Dimitrios Michail

H-Index: 10

JHeaps: An open-source library of priority queues

SoftwareX

2021/12/1

Dimitrios Michail
Dimitrios Michail

H-Index: 10

A driving profile recommender system for autonomous driving using sensor data and reinforcement learning

2021/11/26

Teaching-trustworthy autonomous cyber-physical applications through human-centred intelligence

2021/8/23

Self-supervised contrastive learning for volcanic unrest detection

IEEE Geoscience and Remote Sensing Letters

2021/8/19

Dimitrios Michail
Dimitrios Michail

H-Index: 10

Nantheera Anantrasirichai
Nantheera Anantrasirichai

H-Index: 11

See List of Professors in Dimitrios Michail University(Harokopio University)

Co-Authors

academic-engine