Victoria Pachón

Orcid: 0000-0003-0697-4044

According to our database1, Victoria Pachón authored at least 34 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
I2C-UHU at HOMO-MEX 2024: Leveraging Large Language Models and Ensembling Transformers to Identify and Classify Hate Messages Towards the LGBTQ+ Community.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), 2024

I2C-Huelva at IberLEF-2024 DETESTS-Dis: Learning from Divergence to Identify Explicit and Implicit Racial Stereotypes in Spanish Texts.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), 2024

I2C-Huelva at SemEval-2024 Task 8: Boosting AI-Generated Text Detection with Multimodal Models and Optimized Ensembles.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

I2C-UHU at EXIST2024: Learning from Divergence and Perspectivism for Sexism Identification and Source Intent Classification.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

I2C-UHU at EXIST 2024: Transformer-Based Detection of Sexism and Source Intention in Memes Using a Learning with Disagreement Approach.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023
Automatic Detection in Twitter of Non-Traumatic Grief Due to Deaths by COVID-19: A Deep Learning Approach.
IEEE Access, 2023

I2C-UHU at MentalRiskES 2023: Detecting and Identifying Mental Disorder Risks in Social Media using Transformer-Based Models.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

I2C-Huelva at HOPE2023@IberLEF: Simple Use of Transformers for Automatic Hope Speech Detection.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

I2C-UHU at IberLEF-2023 HOMO-MEX task: Ensembling Transformers Models to Identify and Classify Hate Messages Towards the Community LGBTQ+.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

I2C-Huelva at SemEval-2023 Task 10: Ensembling Transformers Models for the Detection of Online Sexism.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

I2C-Huelva at SemEval-2023 Task 9: Analysis of Intimacy in Multilingual Tweets Using Resampling Methods and Transformers.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

I2C Huelva at SemEval-2023 Task 4: A Resampling and Transformers Approach to Identify Human Values behind Arguments.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

I2C-UHU at CLEF-2023 EXIST task: Leveraging Ensembling Language Models to Detect Multilingual Sexism in Social Media.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
I2C at IberLEF-2022 DETESTS task: Detection of Racist Stereotypes in Spanish Comments using UnderBagging and Transformers.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

I2C at PoliticEs 2022: Using Transformers to Identify Political Ideology in Spanish Tweets.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

Automatic Sexism Identification Using an Ensemble of Pretrained Transformers.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

I2C at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Deep Learning Techniques.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

I2C at SemEval-2022 Task 6: Intended Sarcasm Detection on Social Networks with Deep Learning.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

I2C at SemEval-2022 Task 5: Identification of misogyny in internet memes.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

2021
Identification of profession & occupation in Health-related Social Media using tweets in Spanish.
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

2020
I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2019
Subgroup Anomaly Detection using High-confidence Rules: Application to Healthcare Data.
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

2018
Application of a Rule-Based Classifier to Data Regarding Radiation Toxicity in Prostate Cancer Treatment.
Proceedings of the Biomedical Engineering Systems and Technologies, 2018

A Rule-based Method Applied to the Imbalanced Classification of Radiation Toxicity.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
Searching for the most significant rules: an evolutionary approach for subgroup discovery.
Soft Comput., 2017

2015
Deterministic Extraction of Compact Sets of Rules for Subgroup Discovery.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

2012
A machine-learning approach to negation and speculation detection in clinical texts.
J. Assoc. Inf. Sci. Technol., 2012

An evolutionary algorithm to discover quantitative association rules from huge databases without the need for an a priori discretization.
Expert Syst. Appl., 2012

Rule Extraction from Medical Data without Discretization of Numerical Attributes.
Proceedings of the HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics, Vilamoura, Algarve, Portugal, 1, 2012

2011
A Deterministic Approach to Association Rule Mining without Attribute Discretization.
Proceedings of the Digital Information Processing and Communications, 2011

Multi-objective Evolutionary Approach for Subgroup Discovery.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2009
Practical Application of a KDD Process to a Sulphuric Acid Plant.
Proceedings of the Distributed Computing, 2009

2004
Practical Application of KDD Techniques to an Industrial Process.
Proceedings of the ICEIS 2004, 2004


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