Dimitrios Michail 0001 - researchr alias

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Viewing Publication 1 - 25 from 25

2024

FLOGA: A Machine-Learning-Ready Dataset, a Benchmark, and a Novel Deep Learning Model for Burnt Area Mapping With Sentinel-2Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis, Zisoula Ntasiou, Konstantinos Karantzalos, Dimitrios Michail 0001, Ioannis Papoutsis. staeors, 17:7801-7824, 2024. [doi]

2023

TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire ForecastingIoannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail 0001, Gustau Camps-Valls, Ioannis Papoutsis. iccvw 2023: 3756-3761 [doi]

2022

Detection of fake news campaigns using graph convolutional networksDimitrios Michail 0001, Nikos Kanakaris, Iraklis Varlamis. ijinfomandi, 2(2):100104, 2022. [doi]

Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest DetectionNikolaos-Ioannis Bountos, Dimitrios Michail 0001, Ioannis Papoutsis. tgrs, 60:1-12, 2022. [doi]

Hephaestus: A large scale multitask dataset towards InSAR understandingNikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail 0001, Andreas Karavias, Panagiotis Elias, Isaak S. Parcharidis. cvpr 2022: 1452-1461 [doi]

Self-Supervised Contrastive Learning for Volcanic Unrest DetectionNikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail 0001, Nantheera Anantrasirichai. lgrs, 19:1-5, 2022. [doi]

A Cloud-based Continual Learning System for Road Sign Classification in Autonomous DrivingCharalampos Davalas, Dimitrios Michail 0001, Iraklis Varlamis, Konstantinos Tserpes. wcci 2023: 78-83 [doi]

Computationally Efficient Rehearsal for Online Continual LearningCharalampos Davalas, Dimitrios Michail 0001, Christos Diou, Iraklis Varlamis, Konstantinos Tserpes. iciap 2022: 39-49 [doi]

A Survey on the Use of Graph Convolutional Networks for Combating Fake NewsIraklis Varlamis, Dimitrios Michail 0001, Foteini Glykou, Panagiotis Tsantilas. fi, 14(3):70, 2022. [doi]

2021

JHeaps: An open-source library of priority queuesDimitrios Michail 0001. softx, 16:100869, 2021. [doi]

A driving profile recommender system for autonomous driving using sensor data and reinforcement learningChristos Chronis, Christos Sardianos, Iraklis Varlamis, Dimitrios Michail 0001, Konstantinos Tserpes. pci 2021: 33-38 [doi]

2020

2019

Parallelization of large-scale drug-protein binding experimentsDimitrios Michail 0001, Antonios Makris, Iraklis Varlamis, Mark Sawyer. fgcs, 97:492-502, 2019. [doi]

Graph matching on social networks without any side informationCharalampos Davalas, Dimitrios Michail 0001, Iraklis Varlamis. bigdataconf 2019: 1060-1065 [doi]

2016

Fair Matchings and Related ProblemsChien-Chung Huang, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail 0001. algorithmica, 74(3):1184-1203, 2016. [doi]

2013

Fair Matchings and Related ProblemsChien-Chung Huang, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail 0001. fsttcs 2013: 339-350 [doi]

2012

Real Time Fire Monitoring Using Semantic Web and Linked Data TechnologiesKostis Kyzirakos, Manos Karpathiotakis, George Garbis, Charalampos Nikolaou, Konstantina Bereta, Michael Sioutis, Ioannis Papoutsis, Themistoklis Herekakis, Dimitrios Michail 0001, Manolis Koubarakis, Charalambos Kontoes. semweb 2012: [doi]

2011

An experimental comparison of single-sided preference matching algorithmsDimitrios Michail 0001. jea, 16, 2011. [doi]

2006

Minimum cycle basisDimitrios Michail 0001. PhD thesis, Saarland University, Germany, 2006. [doi]

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