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Sebastião Pais
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2020 – today
- 2023
- [c14]Giovana Voltoline
, Sebastião Pais
Understanding Massive Text Visualization. ASONAM 2023: 706-711 - [c13]M. Luqman Jamil
Challenges of Profiling Offenders for Recidivism Risk. ICDM (Workshops) 2023: 235-244 - [c12]Faustino Muetunda
Improving Mental Disorder Predictions using Feature-Based Machine Learning Techninques. ICDM (Workshops) 2023: 1279-1288 - [c11]Faustino Muetunda
Exploring the Role of Artificial Intelligence in Mental Health. ICDM (Workshops) 2023: 1289-1298 - [c10]Purificação Silvano, João Cordeiro, Antonio Leal, Sebastião Pais:
DRIPPS: a Corpus with Discourse Relations in Perfect Participial Sentences. LDK 2023: 470-481 - [c9]M. Luqman Jamil
An Approach for Detecting Dangerous Events from Online Text Using Transformers. WI/IAT 2023: 256-262 - [i2]Mehran Pourvahab, Seyed Jalaleddin Mousavirad, Virginie Felizardo, Nuno Pombo, Henriques Zacarias, Hamzeh Mohammadigheymasi
A Cluster-Based Opposition Differential Evolution Algorithm Boosted by a Local Search for ECG Signal Classification. CoRR abs/2305.02731 (2023) - 2022
- [j4]Sebastião Pais
NLP-based platform as a service: a brief review. J. Big Data 9(1): 54 (2022) - [j3]M. Luqman Jamil
Detection of extreme sentiments on social networks with BERT. Soc. Netw. Anal. Min. 12(1): 55 (2022) - [j2]M. Luqman Jamil
Detection of dangerous events on social media: a critical review. Soc. Netw. Anal. Min. 12(1): 154 (2022) - [c8]Prince Jha
Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations. ACM Multimedia 2022: 4406-4415 - [e1]João Cordeiro
11th Symposium on Languages, Applications and Technologies, SLATE 2022, July 14-15, 2022, Universidade da Beira Interior, Covilhã, Portugal. OASIcs 104, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2022, ISBN 978-3-95977-245-7 [contents] - [i1]M. Luqman Jamil, Sebastião Pais, João Cordeiro:
Detection of Dangerous Events on Social Media: A Perspective Review. CoRR abs/2204.01351 (2022) - 2021
- [c7]Abdullatif Abolohom, Nazlia Omar, Sebastião Pais
A Comparative Study of Linguistic and Computational Features Based on a Machine Learning for Arabic Anaphora Resolution. ACLING 2021: 37-47 - 2020
- [j1]Sebastião Pais
Asymmetric Attributional Word Similarity Measures to Detect the Relations of Textual Generality. Comput. 9(4): 81 (2020) - [c6]Sebastião Pais
Unsupervised Approach to Detect Extreme Sentiments on Social Networks. ASONAM 2020: 651-658
2010 – 2019
- 2019
- [c5]Sebastião Pais
SocialNetCrawler: Online Social Network Crawler. MEDES 2019: 16-22 - 2015
- [c4]Ricardo Ponciano, Sebastião Pais
Using Accuracy Analysis to Find the Best Classifier for Intelligent Personal Assistants. ANT/SEIT 2015: 310-317 - 2013
- [b1]Sebastião Pais:
Asymmetric Distributional Similarity Measures to Recognize Textual Entailment by Generality. (Mesures de similarité distributionnelle asymétrique pour la détection de l'implication textuelle par généralité). Mines ParisTech, France, 2013 - 2011
- [c3]Gaël Dias, Sebastião Pais
Recognizing Textual Entailment by Generality Using Informative Asymmetric Measures and Multiword Unit Identification to Summarize Ephemeral Clusters. Web Intelligence 2011: 284-287
2000 – 2009
- 2009
- [c2]Gaël Dias, Sebastião Pais, Fernando Cunha, Hugo Costa, David Machado, Tiago Barbosa, Bruno Martins:
Hierarchical Soft Clustering and Automatic Text Summarization for Accessing the Web on Mobile Devices for Visually Impaired People. FLAIRS 2009 - [c1]David Machado, Tiago Barbosa
Universal Mobile Information Retrieval. HCI (6) 2009: 345-354
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