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21 results on '"Gòmez-Adorno, Helena"'

1. HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into Multi-Task Transformers for Sequence Labelling

Author

Ortiz-Barajas, Jesus-German, Gomez-Adorno, Helena, and Solorio, Thamar

Subjects
Computer Science - Computation and Language
Abstract

We present HyperLoader, a simple approach that combines different parameter-efficient fine-tuning methods in a multi-task setting. To achieve this goal, our model uses a hypernetwork to generate the weights of these modules based on the task, the transformer layer, and its position within this layer. Our method combines the benefits of multi-task learning by capturing the structure of all tasks while reducing the task interference problem by encapsulating the task-specific knowledge in the generated weights and the benefits of combining different parameter-efficient methods to outperform full-fine tuning. We provide empirical evidence that HyperLoader outperforms previous approaches in most datasets and obtains the best average performance across tasks in high-resource and low-resource scenarios.

Published
2024

2. Statistical Evaluation of CESAMO Encoder for Pattern Preservation in Categorical Data

Author

Valdez-Valenzuela, Eric, Kuri-Morales, Angel, Gomez-Adorno, Helena, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Mezura-Montes, Efrén, editor, Acosta-Mesa, Héctor Gabriel, editor, Carrasco-Ochoa, Jesús Ariel, editor, Martínez-Trinidad, José Francisco, editor, and Olvera-López, José Arturo, editor

Published
2024
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3. Job Offers Classifier using Neural Networks and Oversampling Methods

Author

Ortiz, Germán, Enguix, Gemma Bel, Gómez-Adorno, Helena, Ameer, Iqra, and Sidorov, Grigori

Subjects
Computer Science - Information Retrieval, Computer Science - Machine Learning
Abstract

Both policy and research benefit from a better understanding of individuals' jobs. However, as large-scale administrative records are increasingly employed to represent labor market activity, new automatic methods to classify jobs will become necessary. We developed an automatic job offers classifier using a dataset collected from the largest job bank of Mexico known as Bumeran https://www.bumeran.com.mx/ Last visited: 19-01-2022.. We applied machine learning algorithms such as Support Vector Machines, Naive-Bayes, Logistic Regression, Random Forest, and deep learning Long-Short Term Memory (LSTM). Using these algorithms, we trained multi-class models to classify job offers in one of the 23 classes (not uniformly distributed): Sales, Administration, Call Center, Technology, Trades, Human Resources, Logistics, Marketing, Health, Gastronomy, Financing, Secretary, Production, Engineering, Education, Design, Legal, Construction, Insurance, Communication, Management, Foreign Trade, and Mining. We used the SMOTE, Geometric-SMOTE, and ADASYN synthetic oversampling algorithms to handle imbalanced classes. The proposed convolutional neural network architecture achieved the best results when applied the Geometric-SMOTE algorithm., Comment: 13 pages, 2 figures, 8th World Conference On Soft Computing

Published
2022

4. Mental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning

Author

Ameer, Iqra, Arif, Muhammad, Sidorov, Grigori, Gòmez-Adorno, Helena, and Gelbukh, Alexander

Subjects
Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Computers and Society
Abstract

Given the current social distance restrictions across the world, most individuals now use social media as their major medium of communication. Millions of people suffering from mental diseases have been isolated due to this, and they are unable to get help in person. They have become more reliant on online venues to express themselves and seek advice on dealing with their mental disorders. According to the World health organization (WHO), approximately 450 million people are affected. Mental illnesses, such as depression, anxiety, etc., are immensely common and have affected an individuals' physical health. Recently Artificial Intelligence (AI) methods have been presented to help mental health providers, including psychiatrists and psychologists, in decision making based on patients' authentic information (e.g., medical records, behavioral data, social media utilization, etc.). AI innovations have demonstrated predominant execution in numerous real-world applications broadening from computer vision to healthcare. This study analyzes unstructured user data on the Reddit platform and classifies five common mental illnesses: depression, anxiety, bipolar disorder, ADHD, and PTSD. We trained traditional machine learning, deep learning, and transfer learning multi-class models to detect mental disorders of individuals. This effort will benefit the public health system by automating the detection process and informing appropriate authorities about people who require emergency assistance., Comment: 11 pages, 2 figures, 8th World Conference On Soft Computing

Published
2022

6. Descriptions of issues and comments for predicting issue success in software projects

Author

Ramírez-Mora, Sandra L., Oktaba, Hanna, and Gómez-Adorno, Helena

Subjects
Computer Science - Software Engineering
Abstract

Software development tasks must be performed successfully to achieve software quality and customer satisfaction. Knowing whether software tasks are likely to fail is essential to ensure the success of software projects. Issue Tracking Systems store information of software tasks (issues) and comments, which can be useful to predict issue success; however; almost no research on this topic exists. This work studies the usefulness of textual descriptions of issues and comments for predicting whether issues will be resolved successfully or not. Issues and comments of 588 software projects were extracted from four popular Issue Tracking Systems. Seven machine learning classifiers were trained on 30k issues and more than 120k comments, and more than 6000 experiments were performed to predict the success of three types of issues: bugs, improvements and new features. The results provided evidence that descriptions of issues and comments are useful for predicting issue success with more than 85% of accuracy and precision, and that the predictions of issue success vary over time. Words related to software development were particularly relevant for predicting issue success. Other communication aspects and their relationship to the success of software projects must be researched in detail using data from software tools., Comment: 65 pages; 15 figures

Published
2020
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8. CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling

Author

Valdez-Valenzuela, Eric, Kuri-Morales, Angel, Gomez-Adorno, Helena, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Pichardo Lagunas, Obdulia, editor, Martínez-Miranda, Juan, editor, and Martínez Seis, Bella, editor

Published
2022
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9. Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data

Author

Valdez-Valenzuela, Eric, Kuri-Morales, Angel, Gomez-Adorno, Helena, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Batyrshin, Ildar, editor, Gelbukh, Alexander, editor, and Sidorov, Grigori, editor

Published
2021
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10. Evaluation of Similarity Measures in a Benchmark for Spanish Paraphrasing Detection : 19th Mexican International Conference on Artificial Intelligence

Author

Gómez-Adorno, Helena, Bel-Enguix, Gemma, Sierra, Gerardo, Torres-Moreno, Juan-Manuel, Martinez, Renata, Serrano, Pedro, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martínez-Villaseñor, Lourdes, editor, Herrera-Alcántara, Oscar, editor, Ponce, Hiram, editor, and Castro-Espinoza, Félix A., editor

Published
2020
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11. Gender Identification in Social Media Using Transfer Learning

Author

Sotelo, Aquilino Francisco, Gómez-Adorno, Helena, Esquivel-Flores, Oscar, Bel-Enguix, Gemma, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Figueroa Mora, Karina Mariela, editor, Anzurez Marín, Juan, editor, Cerda, Jaime, editor, Carrasco-Ochoa, Jesús Ariel, editor, Martínez-Trinidad, José Francisco, editor, and Olvera-López, José Arturo, editor

Published
2020
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13. Hierarchical Clustering Analysis: The Best-Performing Approach at PAN 2017 Author Clustering Task

Author

Gómez-Adorno, Helena, Martín-del-Campo-Rodríguez, Carolina, Sidorov, Grigori, Alemán, Yuridiana, Vilariño, Darnes, Pinto, David, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Bellot, Patrice, editor, Trabelsi, Chiraz, editor, Mothe, Josiane, editor, Murtagh, Fionn, editor, Nie, Jian Yun, editor, Soulier, Laure, editor, SanJuan, Eric, editor, Cappellato, Linda, editor, and Ferro, Nicola, editor

Published
2018
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14. Comparison of Character n-grams and Lexical Features on Author, Gender, and Language Variety Identification on the Same Spanish News Corpus

Author

Sanchez-Perez, Miguel A., Markov, Ilia, Gómez-Adorno, Helena, Sidorov, Grigori, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Jones, Gareth J.F., editor, Lawless, Séamus, editor, Gonzalo, Julio, editor, Kelly, Liadh, editor, Goeuriot, Lorraine, editor, Mandl, Thomas, editor, Cappellato, Linda, editor, and Ferro, Nicola, editor

Published
2017
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15. Author Profiling with Doc2vec Neural Network-Based Document Embeddings

Author

Markov, Ilia, Gómez-Adorno, Helena, Posadas-Durán, Juan-Pablo, Sidorov, Grigori, Gelbukh, Alexander, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Pichardo-Lagunas, Obdulia, editor, and Miranda-Jiménez, Sabino, editor

Published
2017
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17. A Question Answering System for Reading Comprehension Tests

Author

Gómez-Adorno, Helena, Pinto, David, Vilariño, Darnes, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carrasco-Ochoa, Jesús Ariel, editor, Martínez-Trinidad, José Francisco, editor, Rodríguez, Joaquín Salas, editor, and di Baja, Gabriella Sanniti, editor

Published
2013
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18. Forecast of Air Quality Based on Ozone by Decision Trees and Neural Networks

Author

Loya, Nahun, Olmos Pineda, Iván, Pinto, David, Gómez-Adorno, Helena, Alemán, Yuridiana, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Batyrshin, Ildar, editor, and González Mendoza, Miguel, editor

Published
2013
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