Antonela Tommasel

Orcid: 0000-0001-6091-8305

According to our database1, Antonela Tommasel authored at least 52 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
The JavaScript Package Selection Task: A Comparative Experiment Using an LLM-based Approach.
CLEI Electron. J., 2024

Leveraging Monte Carlo Tree Search for Group Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Fairness Matters: A look at LLM-generated group recommendations.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Leveraging User History with Transformers for News Clicking: The DArgk Approach.
Proceedings of the Recommender Systems Challenge 2024, 2024

Helping Novice Architects to Make Quality Design Decisions Using an LLM-Based Assistant.
Proceedings of the Software Architecture - 18th European Conference, 2024

Detection of Gender Bias in Legal Texts Using Classification and LLMs.
Proceedings of the L Latin American Computer Conference, 2024

Towards Automated Fact-Checking: An Exploratory Study on Identifying Check-Worthy Phrases for Verification.
Proceedings of the L Latin American Computer Conference, 2024

Beyond Words: A Preliminary Study for Multimodal Hate Speech Detection.
Proceedings of the L Latin American Computer Conference, 2024

2023
Special issue on intelligent systems for tackling online harms.
Pers. Ubiquitous Comput., 2023

Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction.
CoRR, 2023

Towards Automated Fact-Checking: An Exploratory Study on the Detection of Checkable Statements in Spanish.
Proceedings of the 42nd IEEE International Conference of the Chilean Computer Science Society, 2023

Re2Dan: Retrieval of Medical Documents for e-Health in Danish.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

The JavaScript Package Selection Task: A Comparative Experiment Using ChatGPT.
Proceedings of the XLIX Latin American Computer Conference, 2023

Can Multi-Agent Consensus Improve Quality Tradeoffs in Software Architecture Optimization?
Proceedings of the 26th Iberoamerican Conference on Software Engineering, 2023

Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Influence and performance of user similarity metrics in followee prediction.
J. Inf. Sci., 2022

Identifying emerging smells in software designs based on predicting package dependencies.
Eng. Appl. Artif. Intell., 2022

Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic.
Behav. Inf. Technol., 2022

Following the Trail of Fake News Spreaders in Social Media: A Deep Learning Model.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Haven't I just Listened to This?: Exploring Diversity in Music Recommendations.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Do Recommender Systems Make Social Media More Susceptible to Misinformation Spreaders?
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

A Metrics-based Approach for Assessing Architecture-Implementation Mappings.
Proceedings of the 25th Iberoamerican Conference on Software Engineering, CIbSE 2022, Cordoba, Argentina, 13 June, 2022

2021
Capturing social media expressions during the COVID-19 pandemic in Argentina and forecasting mental health and emotions.
CoRR, 2021

A Deep Learning model for estimating parking space availability.
Proceedings of the 40th International Conference of the Chilean Computer Science Society, 2021

I Want to Break Free! Recommending Friends from Outside the Echo Chamber.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

DebtHunter: A Machine Learning-based Approach for Detecting Self-Admitted Technical Debt.
Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021

2020
Special issue on knowledge discovery and user modeling for smart cities.
Pers. Ubiquitous Comput., 2020

Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic.
CoRR, 2020

Workshop on Online Misinformation- and Harm-Aware Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019
Short-text learning in social media: a review.
Knowl. Eng. Rev., 2019

An experimental study on feature engineering and learning approaches for aggression detection in social media.
Inteligencia Artif., 2019

Applying Social Network Analysis Techniques to Architectural Smell Prediction.
Proceedings of the IEEE International Conference on Software Architecture Companion, 2019

Friend or Foe: Studying user Trustworthiness for Friend Recommendation in the Era of Misinformation.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2019

2018
A Social-aware online short-text feature selection technique for social media.
Inf. Fusion, 2018

Multi-view community detection with heterogeneous information from social media data.
Neurocomputing, 2018

Towards Anticipation of Architectural Smells using Link Prediction Techniques.
CoRR, 2018

Short-text feature construction and selection in social media data: a survey.
Artif. Intell. Rev., 2018

[Research Paper] Towards Anticipation of Architectural Smells Using Link Prediction Techniques.
Proceedings of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation, 2018

Can Network Analysis Techniques Help to Predict Design Dependencies? An Initial Study.
Proceedings of the 2018 IEEE International Conference on Software Architecture Companion, 2018

Textual Aggression Detection through Deep Learning.
Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying, 2018

2017
SMArtOp: A Java library for distributing high-dimensional sparse-matrix arithmetic operations.
Sci. Comput. Program., 2017

A distributed approach for accelerating sparse matrix arithmetic operations for high-dimensional feature selection.
Knowl. Inf. Syst., 2017

Learning and adapting user criteria for recommending followees in social networks.
J. Assoc. Inf. Sci. Technol., 2017

Consensus community detection for multi-dimensional networks.
Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

2016
Personality-aware followee recommendation algorithms: An empirical analysis.
Eng. Appl. Artif. Intell., 2016

Integrating Social Network Structure into Online Feature Selection.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Exploring the role of personality traits in followee recommendation.
Online Inf. Rev., 2015

Semantic grounding of social annotations for enhancing resource classification in folksonomies.
J. Intell. Inf. Syst., 2015

An Adaptive Technique for Weighting Multiple Factors in Followee Recommendation Algorithms.
Proceedings of the IJCAI 2015 Joint Workshop on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), 2015

A Novel Metric for Assessing User Influence based on User Behaviour.
Proceedings of the 1st International Workshop on Social Influence Analysis, 2015

2014
Personalized architectural documentation based on stakeholders' information needs.
J. Softw. Eng. Res. Dev., 2014


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