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Tiago Melo Almeida

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2020 – today

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2024
[j6]
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Ana Rodrigues, Tiago Melo Almeida, Luís Bastião Silva, Carlos Costa:
Diving Into AutoML in Medical Imaging: Solution for Non-ML Practitioners. IEEE Access 12: 151275-151302 (2024)
[j5]
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Tiago Melo Almeida, Richard Adolph Aires Jonker, Rui Antunes, João Rafael Almeida, Sérgio Matos:
Towards discovery: an end-to-end system for uncovering novel biomedical relations. Database J. Biol. Databases Curation 2024 (2024)
[j4]
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Rezarta Islamaj, Po-Ting Lai, Chih-Hsuan Wei, Ling Luo, Tiago Melo Almeida, Richard A. A. Jonker, Sofia I R. Conceição, Diana F. Sousa, Cong-Phuoc Phan, Jung-Hsien Chiang, Jiru Li, Dinghao Pan, Wilailack Meesawad, Richard Tzong-Han Tsai, M. Janina Sarol, Gibong Hong, Airat Valiev, Elena Tutubalina, Shao-Man Lee, Yi-Yu Hsu, Mingjie Li, Karin Verspoor, Zhiyong Lu:
The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII. Database J. Biol. Databases Curation 2024 (2024)
[j3]
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Richard A. A. Jonker, Tiago Melo Almeida, Rui Antunes, João Rafael Almeida, Sérgio Matos:
Multi-head CRF classifier for biomedical multi-class named entity recognition on Spanish clinical notes. Database J. Biol. Databases Curation 2024 (2024)
[c19]
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João Rafael Almeida, Jorge Miguel Silva, Luís Carlos Afonso, Tiago Melo Almeida, Rui Antunes, Richard A. A. Jonker, João António Reis, Dimitri Alexandre da Silva, Sérgio Matos, José Luís Oliveira:
HealthDBFinder: a question-answering task for health database discovery. CBMS 2024: 100-105
[c18]
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Tiago Melo Almeida, Richard A. A. Jonker, João António Reis, João Rafael Almeida, Sérgio Matos:
BIT.UA at BioASQ 12: From Retrieval to Answer Generation. CLEF (Working Notes) 2024: 47-67
[c17]
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Richard A. A. Jonker, Tiago Melo Almeida, Sérgio Matos:
BIT.UA at MultiCardioNER: Adapting a Multi-head CRF for Cardiology. CLEF (Working Notes) 2024: 150-158
[c16]
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Tiago Melo Almeida, Sérgio Matos:
Towards a Hyperparameter-Free QUBO Formulation for Feature Selection in IR. CLEF (Working Notes) 2024: 3054-3063
[c15]
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Richard A. A. Jonker, Tiago Melo Almeida, Sérgio Matos:
Analyzing a Decade of Evolution: Trends in Natural Language Processing. DaWaK 2024: 162-176
[c14]
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Tiago Melo Almeida, Sérgio Matos:
Exploring efficient zero-shot synthetic dataset generation for Information Retrieval. EACL (Findings) 2024: 1214-1231
[c13]
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Tiago Melo Almeida, Sérgio Matos:
SPARe: Supercharged Lexical Retrievers on GPU with Sparse Kernels. ECIR (3) 2024: 413-421
2023
[j2]
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Davy Weissenbacher, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy A. Miller, Dongfang Xu, Carol Anderson, Bo Liu, Qing Han, Jinfeng Zhang, Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Elif Ozkirimli, Ammer Ayach, Roland Roller, Stephen R. Piccolo, Peijin Han, V. G. Vinod Vydiswaran, Ramya Tekumalla, Juan M. Banda, Parsa Bagherzadeh, Sabine Bergler, João Figueira Silva, Tiago Melo Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez:
Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. Database J. Biol. Databases Curation 2023 (2023)
[c12]
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Tiago Melo Almeida, Richard Adolph Aires Jonker, Roshan Poudel, Jorge Miguel Silva, Sérgio Matos:
BIT.UA at BioASQ 11B: Two-Stage IR with Synthetic Training and Zero-Shot Answer Generation. CLEF (Working Notes) 2023: 37-59
[c11]
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Tiago Melo Almeida, Richard Adolph Aires Jonker, Roshan Poudel, Jorge Miguel Silva, Sérgio Matos:
BIT.UA at MedProcNer: Discovering Medical Procedures in Spanish Using Transformer Models with MCRF and Augmentation. CLEF (Working Notes) 2023: 60-72
2022
[j1]
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Tiago Melo Almeida, Rui Antunes, João Figueira Silva, João Rafael Almeida, Sérgio Matos:
Chemical identification and indexing in PubMed full-text articles using deep learning and heuristics. Database J. Biol. Databases Curation 2022(2022) (2022)
[c10]
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Tiago Melo Almeida, André Pinho, Rodrigo Pereira, Sérgio Matos:
Deep Learning solutions based on fixed contextualized embeddings from PubMedBERT on BioASQ 10b and traditional IR in Synergy. CLEF (Working Notes) 2022: 204-221
2021
[c9]
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Tiago Melo Almeida, Sérgio Matos:
BioASQ Synergy: A strong and simple baseline rooted in relevance feedback. CLEF (Working Notes) 2021: 188-195
[c8]
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Tiago Melo Almeida, Sérgio Matos:
Universal Passage Weighting Mecanism (UPWM) in BioASQ 9b. CLEF (Working Notes) 2021: 196-212
[c7]
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Tiago Melo Almeida, Sérgio Matos:
Benchmarking a transformer-FREE model for ad-hoc retrieval. EACL 2021: 3343-3353
2020
[c6]
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Tiago Melo Almeida, Sérgio Matos:
BIT.UA at BioASQ 8: Lightweight Neural Document Ranking with Zero-shot Snippet Retrieval. CLEF (Working Notes) 2020
[c5]
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Tiago Melo Almeida, Sérgio Matos:
Calling Attention to Passages for Biomedical Question Answering. ECIR (2) 2020: 69-77
[c4]
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Tiago Melo Almeida, Sérgio Matos:
Frugal neural reranking: evaluation on the Covid-19 literature. NLP4COVID@EMNLP 2020
[c3]
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Tiago Melo Almeida, Sérgio Matos:
2020 Deep Learning Track. TREC 2020
[c2]
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Tiago Melo Almeida, Sérgio Matos:
BIT.UA@TREC 2020 Precision Medicine Track. TREC 2020

2010 – 2019

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2019
[c1]
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Pedro Gusmão, Tiago Melo Almeida, Francisco Lopes, Yuriy Muryn, José Martins, Manuel Au-Yong-Oliveira:
Microtransactions in the Company's and the Player's Perspective: A Manual and Automatic Analysis. WorldCIST (3) 2019: 440-451

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