Dimitrios Mallis

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Georgios KalamatianosPhD Student, Department of Information Technology, Uppsala University, SwedenVerified email at it.uu.se
Symeon SymeonidisDemocritus University of Thrace, Department of Electrical & Computer EngineeringVerified email at ee.duth.gr
Avi ArampatzisAssociate Professor, Democritus University of ThraceVerified email at ee.duth.gr
Nikolaos MitianoudisAssociate Professor in Audio and Image Processing, Democritus University of Thrace, GreeceVerified email at ee.duth.gr
Georgios (Yorgos) TzimiropoulosSamsung AI Center, Cambridge | Queen Mary University of LondonVerified email at qmul.ac.uk
Enrique SanchezSamsung AI Center CambridgeVerified email at samsung.com
Matt BellHartpury UniversityVerified email at hartpury.ac.uk

Dimitrios Mallis

Verified email at nottingham.ac.uk


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Sentiment analysis of Greek tweets and hashtags using a sentiment lexicon G Kalamatianos, D Mallis, S Symeonidis, A Arampatzis Proceedings of the 19th panhellenic conference on informatics, 63-68, 2015	27	2015
Unsupervised learning of object landmarks via self-training correspondence D Mallis, E Sanchez, M Bell, G Tzimiropoulos Advances in Neural Information Processing Systems 33, 4709-4720, 2020	3	2020
Convolutive audio source separation using robust ICA and an intelligent evolving permutation ambiguity solution D Mallis, T Sgouros, N Mitianoudis Evolving Systems 9 (4), 315-329, 2018	2	2018
Towards the creation of an emotion lexicon for microblogging G Kalamatianos, S Symeonidis, D Mallis, A Arampatzis Journal of Systems and Information Technology, 2018	2	2018
Convolutive Audio Source Separation Using Robust ICA and Reduced Likelihood Ratio Jump D Mallis, T Sgouros, N Mitianoudis IFIP International Conference on Artificial Intelligence Applications and …, 2016	1	2016
Sentiment Analysis of Greek Tweets and Hashtags using Sentiment Lexicon D Mallis, G Kalamatianos, D Nikolaras, S Symeonidis Electrical and Computer Engineering School of Democritus University of …, 2014	1	2014
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery D Mallis, E Sanchez, M Bell, G Tzimiropoulos arXiv preprint arXiv:2205.15895, 2022		2022

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