Dimitrios Michail

Orcid: 0000-0002-5316-6704

Affiliations:
  • Harokopio University of Athens, Greece


According to our database1, Dimitrios Michail authored at least 47 papers between 2004 and 2024.

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Bibliography

2024
A rehearsal framework for computational efficiency in online continual learning.
Appl. Intell., April, 2024

FLOGA: A Machine-Learning-Ready Dataset, a Benchmark, and a Novel Deep Learning Model for Burnt Area Mapping With Sentinel-2.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks.
CoRR, 2024

Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment.
CoRR, 2024

Revealing Differences in Public Transport Share Through District-Wise Comparison and Relating Them to Network Properties.
Proceedings of the 16th International Conference on Spatial Information Theory, 2024

From Perception to Action: Leveraging LLMs and Scene Graphs for Intuitive Robotic Task Execution.
Proceedings of the 10th IEEE International Conference on Big Data Computing Service and Machine Learning Applications, 2024

2023
Kuro Siwo: 12.1 billion m<sup>2</sup> under the water. A global multi-temporal satellite dataset for rapid flood mapping.
CoRR, 2023

TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Contrastive Learning for Volcanic Unrest Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

Detection of fake news campaigns using graph convolutional networks.
Int. J. Inf. Manag. Data Insights, 2022

A Survey on the Use of Graph Convolutional Networks for Combating Fake News.
Future Internet, 2022

Deep Learning for Global Wildfire Forecasting.
CoRR, 2022

Learning class prototypes from Synthetic InSAR with Vision Transformers.
CoRR, 2022

A Cloud-based Continual Learning System for Road Sign Classification in Autonomous Driving.
Proceedings of the Joint Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), 2022

Computationally Efficient Rehearsal for Online Continual Learning.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Hephaestus: A large scale multitask dataset towards InSAR understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
JHeaps: An open-source library of priority queues.
SoftwareX, 2021

Efficient deep learning models for land cover image classification.
CoRR, 2021


A driving profile recommender system for autonomous driving using sensor data and reinforcement learning.
Proceedings of the PCI 2021: 25th Pan-Hellenic Conference on Informatics, Volos, Greece, November 26, 2021


2020
JGraphT - A Java Library for Graph Data Structures and Algorithms.
ACM Trans. Math. Softw., 2020

A distributed architecture for large scale news and social media processing.
Int. J. Web Eng. Technol., 2020

Benchmark Comparison of Methods for Approximate Neighborhood Estimation of Road Segments in Large-Scale Traffic Networks.
Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020

2019
Parallelization of large-scale drug-protein binding experiments.
Future Gener. Comput. Syst., 2019

Graph matching on social networks without any side information.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017
Parallelization of Large-Scale Drug-Protein Binding Experiments.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

2016
Fair Matchings and Related Problems.
Algorithmica, 2016

2014
Wildfire monitoring using satellite images, ontologies and linked geospatial data.
J. Web Semant., 2014

2012
TELEIOS: A Database-Powered Virtual Earth Observatory.
Proc. VLDB Endow., 2012

Real Time Fire Monitoring Using Semantic Web and Linked Data Technologies.
Proceedings of the ISWC 2012 Posters & Demonstrations Track, 2012


2011
An experimental comparison of single-sided preference matching algorithms.
ACM J. Exp. Algorithmics, 2011

New Approximation Algorithms for Minimum Cycle Bases of Graphs.
Algorithmica, 2011

Bounded Unpopularity Matchings.
Algorithmica, 2011

2009
Minimum cycle bases: Faster and simpler.
ACM Trans. Algorithms, 2009

Cycle bases in graphs characterization, algorithms, complexity, and applications.
Comput. Sci. Rev., 2009

2008
An [(<i>O</i>)\tilde](<i>m</i><sup>2</sup><i>n</i>)\tilde{O}(m^{2}n) Algorithm for Minimum Cycle Basis of Graphs.
Algorithmica, 2008

2007
Reducing rank-maximal to maximum weight matching.
Theor. Comput. Sci., 2007

Strongly stable matchings in time <i>O</i>(<i>nm</i>) and extension to the hospitals-residents problem.
ACM Trans. Algorithms, 2007

Cycle bases of graphs and sampled manifolds.
Comput. Aided Geom. Des., 2007

2006
Minimum cycle basis.
PhD thesis, 2006

Rank-maximal matchings.
ACM Trans. Algorithms, 2006

Implementing minimum cycle basis algorithms.
ACM J. Exp. Algorithmics, 2006

2004
Strongly Stable Matchings in Time O(nm) and Extension to the Hospitals-Residents Problem.
Proceedings of the STACS 2004, 2004

A Faster Algorithm for Minimum Cycle Basis of Graphs.
Proceedings of the Automata, Languages and Programming: 31st International Colloquium, 2004


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