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Charalampos Davalas
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2020 – today
- 2024
- [j1]Charalampos Davalas
, Dimitrios Michail, Christos Diou, Iraklis Varlamis, Konstantinos Tserpes:
A rehearsal framework for computational efficiency in online continual learning. Appl. Intell. 54(8): 6383-6399 (2024) - [i3]Dimitrios Michail, Lefki-Ioanna Panagiotou, Charalampos Davalas, Ioannis Prapas, Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Papoutsis:
Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks. CoRR abs/2404.06437 (2024) - 2022
- [c5]Charalampos Davalas
Computationally Efficient Rehearsal for Online Continual Learning. ICIAP (3) 2022: 39-49 - [c4]Charalampos Davalas, Dimitrios Michail, Iraklis Varlamis, Konstantinos Tserpes:
A Cloud-based Continual Learning System for Road Sign Classification in Autonomous Driving. CI4PM/PAI@WCCI 2022: 78-83 - [i2]Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos
Deep Learning for Global Wildfire Forecasting. CoRR abs/2211.00534 (2022) - 2021
- [c3]Davide Bacciu, Siranush Akarmazyan, Eric Armengaud
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS 2021: 1-6 - [c2]Georg Macher
Dependable Integration Concepts for Human-Centric AI-Based Systems. SAFECOMP Workshops 2021: 11-23 - [i1]Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR abs/2107.06543 (2021)
2010 – 2019
- 2019
- [c1]Charalampos Davalas
Graph matching on social networks without any side information. IEEE BigData 2019: 1060-1065
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