Guillem Collell
Cited by
Cited by
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
Imagined visual representations as multimodal embeddings
G Collell, T Zhang, MF Moens
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017
Brain activity and cognition: a connection from thermodynamics and information theory
G Collell, J Fauquet
Frontiers in psychology 6, 145181, 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
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
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
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
Do Neural Network Cross-Modal Mappings Really Bridge Modalities?
G Collell, MF Moens
ACL 2018, 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
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
Visual and affective grounding in language and mind
S De Deyne, D Navarro, G Collell, A Perfors
PsyArXiv, 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
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
Probing spatial clues: Canonical spatial templates for object relationship understanding
G Collell, T Deruyttere, MF Moens
Ieee Access 9, 134298-134318, 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
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
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
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
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
Bridging the Image and Text Spaces with Neural Network Methods for Multimodal Representation Learning and Spatial Understanding
G Collell Talleda
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