A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data G Collell, D Prelec, KR Patil Neurocomputing 275, 330-340, 2018 | 147 | 2018 |
Imagined visual representations as multimodal embeddings G Collell, T Zhang, MF Moens Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017 | 108 | 2017 |
Brain activity and cognition: a connection from thermodynamics and information theory G Collell, J Fauquet Frontiers in psychology 6, 145181, 2015 | 105 | 2015 |
Visual and affective multimodal models of word meaning in language and mind S De Deyne, DJ Navarro, G Collell, A Perfors Cognitive Science 45 (1), e12922, 2021 | 47 | 2021 |
Is an Image Worth More than a Thousand Words? On the Fine-Grain Semantic Differences between Visual and Linguistic Representations G Collell, MF Moens International Conference on Computational Linguistics (COLING), 2807–2817, 2016 | 46* | 2016 |
Acquiring common sense spatial knowledge through implicit spatial templates G Collell, L Van Gool, MF Moens Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 44 | 2018 |
Reviving threshold-moving: a simple plug-in bagging ensemble for binary and multiclass imbalanced data G Collell, D Prelec, K Patil arXiv preprint arXiv:1606.08698, 2016 | 40 | 2016 |
Do Neural Network Cross-Modal Mappings Really Bridge Modalities? G Collell, MF Moens ACL 2018, 2018 | 16 | 2018 |
Giving commands to a self-driving car: A multimodal reasoner for visual grounding T Deruyttere, G Collell, MF Moens arXiv preprint arXiv:2003.08717, 2020 | 11 | 2020 |
Learning representations specialized in spatial knowledge: Leveraging language and vision G Collell, MF Moens Transactions of the Association for Computational Linguistics 6, 133-144, 2018 | 10 | 2018 |
Visual and affective grounding in language and mind S De Deyne, D Navarro, G Collell, A Perfors PsyArXiv, 2018 | 9 | 2018 |
Decoding language spatial relations to 2D spatial arrangements G Radevski, G Collell, T Tuytelaars Findings of the Association for Computational Linguistics: EMNLP 2020, 4549-4560, 2020 | 7 | 2020 |
How the relationship between information theory and thermodynamics can contribute to explaining brain and cognitive activity: an integrative approach G Collell, J Fauquet Proceedings of the Sixth International Conference on Advanced Cognitive …, 2014 | 6 | 2014 |
Probing spatial clues: Canonical spatial templates for object relationship understanding G Collell, T Deruyttere, MF Moens Ieee Access 9, 134298-134318, 2021 | 5 | 2021 |
Learning to Predict: A Fast Re-constructive Method to Generate Multimodal Embeddings G Collell, T Zhang, MF Moens NIPS Workshop on Representation Learning in Artificial and Biological Neural …, 2017 | 3 | 2017 |
Learning visually grounded common sense spatial knowledge for implicit spatial language G Collell Talleda, MF Moens Proceedings of the Thirteenth International Symposium on Commonsense …, 2017 | 1 | 2017 |
Digital Forgetting in Large Language Models: A Survey of Unlearning Methods A Blanco-Justicia, N Jebreel, B Manzanares, D Sánchez, ... arXiv preprint arXiv:2404.02062, 2024 | | 2024 |
SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task F Hassan, W Tufa, G Collell, P Vossen, L Beinborn, A Flanagan, KE Tan Proceedings of the 16th International Workshop on Semantic Evaluation …, 2022 | | 2022 |
How Do Simple Transformations of Text and Image Features Impact Cosine-Based Semantic Match? G Collell, MF Moens Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | | 2021 |
Bridging the Image and Text Spaces with Neural Network Methods for Multimodal Representation Learning and Spatial Understanding G Collell Talleda | | 2020 |