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NTUA-ISLab at SemEval-2019 Task 3: Determining emotions in contextual conversations with deep learning.

, and . SemEval@NAACL-HLT, page 277-281. Association for Computational Linguistics, (2019)

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NTUA-ISLab at SemEval-2019 Task 9: Mining Suggestions in the wild., , and . SemEval@NAACL-HLT, page 1224-1230. Association for Computational Linguistics, (2019)NTUA-ISLab at SemEval-2019 Task 3: Determining emotions in contextual conversations with deep learning., and . SemEval@NAACL-HLT, page 277-281. Association for Computational Linguistics, (2019)Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning., , , , and . MICCAI (8), volume 14227 of Lecture Notes in Computer Science, page 195-204. Springer, (2023)ShapeFusion: A 3D diffusion model for localized shape editing., , , and . CoRR, (2024)A Transformer-based approach to Irony and Sarcasm detection., , and . CoRR, (2019)A Robust Deep Ensemble Classifier for Figurative Language Detection., , and . EANN, volume 1000 of Communications in Computer and Information Science, page 164-175. Springer, (2019)ILSH: The Imperial Light-Stage Head Dataset for Human Head View Synthesis., , , , , , , , and . ICCV (Workshops), page 1104-1112. IEEE, (2023)Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach., , and . ECCV (2), volume 13662 of Lecture Notes in Computer Science, page 586-603. Springer, (2022)Neural Sign Actors: A diffusion model for 3D sign language production from text., , , , , and . CoRR, (2023)Locally Adaptive Neural 3D Morphable Models., , , , and . CoRR, (2024)