Publications

Nicolas Miccio Palermo, Antonela Tommasel, J. Andrés Diaz-Pace (2026). A Text Mining and Classification Approach for Analyzing Architecture Decision Records. Proceedings of the 20th European Conference on Software Architecture (ECSA 2026), Bolzano, Italy.

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J. Andrés Diaz-Pace, Daniele Di Pompeo, Antonela Tommasel (2026). A Surrogate-based Approach for Fast Multi-objective Architectural Refactoring Optimization. Proceedings of the 20th European Conference on Software Architecture (ECSA 2026), Bolzano, Italy.

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Antonela Tommasel, Markus Schedl (2026). Who Judges the Frame? Auditing Multimodal LLM Judges for News Framing Across Event-Level Perspectives. _MUWS ‘26, Rio de Janeiro, Brazil, 9 pages, https://doi.org/10.1145/3841457.3841515_.

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Antonela Tommasel, Markus Schedl (2026). When Model Outputs Become Social Evidence: Challenges for LLM-Mediated Web and Social Media Analysis. _MUWS ‘26, Rio de Janeiro, Brazil, 6 pages, https://doi.org/10.1145/3841457.3841516_.

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Abhirup Mitra, Oleg Lesota, Antonela Tommasel (2026). What Price Fairness? Evaluating Energy – Fairness – Accuracy Trade-off in Recommender Systems. _Proceedings of the 20th ACM Conference on Recommender Systems (RecSys 2026), Minneapolis, United States, https://doi.org/10.1145/3773078.3841290_.

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Juan Manuel Rodriguez, Oleg Lesota, Antonela Tommasel (2026). Training seeds and model-selection stability in recommender-system evaluation. _Proceedings of the 20th ACM Conference on Recommender Systems (RecSys 2026), Minneapolis, United States, https://doi.org/10.1145/3773078.3841289_.

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Antonela Tommasel, Juan Manuel Rodriguez (2026). Team DArgk at the 2026 ELOQUENT lab for evaluating generative language model quality: Residuals of Humanity: AI Detection Evasion via GRPO Fine-Tuning: Notebook for the Voight-Kampff Task on Eloquent Lab 2026 at CLEF 2026. CLEF 2026 Working Notes, Jena, Germany.

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Rohit Raj Gunti, J. M. Shalani Dilinika, Devadasu Ghanta, Dima Galat, Narayana V. A., Raveendrababu Pakala, Venkateswara Reddy Reddyvari, Marian-Andrei Rizoiu, Juan Manuel Rodriguez, Siva Skandha Sanagala, Antonela Tommasel, Janek Bevendorff, Jussi Karlgren (2026). Overview and Joint Report of the Voight-Kampff Task of the ELOQUENT 2026 Lab for Evaluating Generative Language Model Quality: Notebook for the ELOQUENT Lab at CLEF 2026. CLEF 2026 Working Notes, Jena, Germany.

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Antonela Tommasel, Markus Schedl (2026). Measuring Human-Like Bias in LLMs? A Critique of Human-Derived Bias Constructs in LLM Evaluation. Findings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), Budapest, Hungary.

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Markus Schedl, Shahed Masoudian, Antonela Tommasel (2026). A Multimedia Perspective on the Study of Cognitive Biases in Large Language Models. _MUWS ‘26, Rio de Janeiro, Brazil, 6 pages, https://doi.org/10.1145/3841457.3841518_.

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Christian Ratovicius, Antonela Tommasel (2026). Distilling Multilingual Models for Few-Shot Gender-Bias Detection in Spanish Judicial Texts: A Systematic Literature Review. Proceedings of the Argentine Symposium on Artificial Intelligence and Data Science (ASAID), 55th JAIIO 2026, La Plata, Argentina.

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Gonzalo Librandi, Nicolás Miccio Palermo, Rafael Capilla, Antonela Tommasel, J. Andrés Diaz-Pace (2026). A Hybrid RAG for Answering Questions about Technical Documentation from Github Projects. Proceedings of the Argentine Symposium on Software Engineering (ASSE), 55th JAIIO 2026, La Plata, Argentina.

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Roman Chervinskyy, Antonela Tommasel (2026). Identifying Misinformation Spreaders through Multi-Source User Modeling. _UMAP 2026, Gothenburg, Sweden, pp. 502-505, https://doi.org/10.1145/3774935.3812721_.

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Hlib Oshchepkov, Antonela Tommasel (2026). How Prompting Shapes LLM-Generated Explanations for Recommender Systems: A Multi-Prompt Comparison Across Domains. Joint Proceedings of the ACM UMAP Workshops 2026 — Workshop on Explainable User Models and Personalized Systems (ExUM 2026), pp. 1-9.

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Roman Chervinskyy, Antonela Tommasel (2026). From emotional hooks to conspiratorial claims: A teen-focused game for reflecting on misinformation interactions. _Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2026), Gothenburg, Sweden, https://doi.org/10.1145/3774935.3812727_.

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Antonela Tommasel, Markus Schedl, Ralph Hertwig (2026). REFLECT: Tutorial on Reflecting on Bias in LLMs through Human-Centered Perspectives. _Companion Proceedings of the 31st International Conference on Intelligent User Interfaces (IUI 2026), pp. 286-288, https://doi.org/10.1145/3742414.3794952_.

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Markus Schedl, Ralph Hertwig, Antonela Tommasel, Shahed Masoudian (2026). Cognitive Effects and Biases in Large Language Models. _Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 6: Tutorial Abstracts), pp. 4-6, https://doi.org/10.18653/v1/2026.eacl-tutorials.2_.

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Marcell Herbák, Oleg Lesota, Antonela Tommasel (2026). Energy Footprint of Data Reduction Strategies for Recommender Systems. Recommender Systems for Sustainability and Social Good (RecSoGood 2026), Springer, Cham.

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Antonela Tommasel, Juan Manuel Rodriguez (2025). SpanishTweetsCOVID-19: A Social Media Enriched Covid-19 Twitter Spanish Dataset. _2025 IEEE International Conference on Big Data (BigData), Macau, China, pp. 5842-5851, https://doi.org/10.1109/BigData66926.2025.11400952_.

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Patrick Schilcher, Dominik Karasin, Michael Schöpf, Haisam Saleh, Antonela Tommasel, Markus Schedl (2025). Characterizing Positional Bias in Large Language Models: A Multi-Model Evaluation of Prompt Order Effects. _Findings of the Association for Computational Linguistics: EMNLP 2025, Suzhou, China, pp. 20643-20664, https://doi.org/10.18653/v1/2025.findings-emnlp.1124_.

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Facundo Leonardo Chayle, Antonela Tommasel (2025). Una Arquitectura Híbrida Extensible para Sistemas IA-Ready. XXXI Congreso Argentino de Ciencias de la Computación (CACIC 2025), Viedma, Argentina, pp. 808-817.

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Juan Manuel Rodriguez, Antonela Tommasel (2025). BEHAV-E! You are Not Just a Number to Us, but an R^2048 Embedding. _RecSysChallenge ‘25: Proceedings of the Recommender Systems Challenge 2025, pp. 16-20, https://doi.org/10.1145/3758126.3758130_.

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Josef Schodl, Oleg Lesota, Antonela Tommasel, Markus Schedl (2025). Investigating Carbon Footprint of Recommender Systems Beyond Training Time. _Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys 2025), pp. 1206-1211, https://doi.org/10.1145/3705328.3759324_.

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Oleg Lesota, Adrian Bajko, Max Walder, Matthias Wenzel, Antonela Tommasel, Markus Schedl (2025). Fine-tuning for Inference-efficient Calibrated Recommendations. _Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys 2025), pp. 1187-1192, https://doi.org/10.1145/3705328.3759319_.

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Antonela Tommasel (2025). A framework for characterising the hows and whens of social media communication during crises. _Journal of Information Science, 52(3), pp. 697-713, https://doi.org/10.1177/01655515251353184_.

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Nicolás Miccio Palermo, Marcelo Armentano, Antonela Tommasel (2025). How Much Longer?: Estimating Bus Arrival Times with Predictive Models. Proceedings of the Argentine Symposium on Artificial Intelligence and Data Science (ASAID), 54th JAIIO 2025, Buenos Aires, Argentina.

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J. Andrés Diaz-Pace, Antonela Tommasel, Rafael Capilla, Yamid E. Ramírez (2025). Architecture Exploration and Reflection Meet LLM-based Agents. _2025 IEEE 22nd International Conference on Software Architecture Companion (ICSA-C), Odense, Denmark, pp. 46-50, https://doi.org/10.1109/ICSA-C65153.2025.00015_.

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Antonela Tommasel, Juan Manuel Rodriguez (2025). Countering the Spread: An Approach to Identify Misinformation Spreaders in Social Media. _IEEE Transactions on Computational Social Systems, 12(5), pp. 3403-3415, https://doi.org/10.1109/TCSS.2025.3550029_.

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Antonela Tommasel, Ira Assent (2024). Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval. _2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, pp. 4048-4057, https://doi.org/10.1109/BigData62323.2024.10826117_.

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Juan Manuel Rodriguez, Antonela Tommasel (2024). Leveraging User History with Transformers for News Clicking: The DArgk Approach. _RecSysChallenge ‘24: ACM RecSys Challenge 2024, https://doi.org/10.1145/3687151.3687161_.

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Antonela Tommasel, J. Andrés Diaz-Pace (2024). Leveraging Monte Carlo Tree Search for Group Recommendation. _Proceedings of the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, pp. 1136-1141, https://doi.org/10.1145/3640457.3691713_.

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Antonela Tommasel (2024). Fairness Matters: A look at LLM-generated group recommendations. _Proceedings of the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, pp. 993-998, https://doi.org/10.1145/3640457.3688182_.

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J. Andrés Díaz-Pace, Antonela Tommasel, Rafael Capilla (2024). Helping Novice Architects to Make Quality Design Decisions Using an LLM-Based Assistant. _Software Architecture — 18th European Conference, ECSA 2024, pp. 324-332, https://doi.org/10.1007/978-3-031-70797-1_21_.

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Facundo Leonardo Chayle, Antonela Tommasel (2024). Arquitecturas para Aplicaciones con Inteligencia Artificial: Un Mapeo Sistemático de la Literatura. Proceedings of the Argentine Symposium on Software Engineering (ASSE), 53rd JAIIO 2024, Bahía Blanca, Argentina, pp. 28-41.

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Galo E. Pianciola Bartol, Antonela Tommasel (2024). Towards Automated Fact-Checking: An Exploratory Study on Identifying Check-worthy Phrases for Verification. _Proceedings of the L Latin American Computer Conference (CLEI 2024), Bahía Blanca, Argentina, https://doi.org/10.1109/CLEI64178.2024.10700241_.

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Christian J. Ratovicius, J. Andrés Diaz-Pace, Antonela Tommasel (2024). Detection of Gender Bias in Legal Texts Using Classification and LLMs. _Proceedings of the L Latin American Computer Conference (CLEI 2024), Bahía Blanca, Argentina, pp. 1-10, https://doi.org/10.1109/CLEI64178.2024.10700116_.

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Sofia Barceló, Magalí Boulanger, Antonela Tommasel, Juan Manuel Rodriguez (2024). Beyond Words: A Preliminary Study for Multimodal Hate Speech Detection. _Proceedings of the L Latin American Computer Conference (CLEI 2024), Bahía Blanca, Argentina, https://doi.org/10.1109/CLEI64178.2024.10700167_.

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J. Andrés Diaz-Pace, Antonela Tommasel, Hernán Ceferino Vazquez (2024). The JavaScript Package Selection Task: A Comparative Experiment Using an LLM-based Approach. _CLEI Electronic Journal, 27(2), https://doi.org/10.19153/cleiej.27.2.4_.

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Antonela Tommasel, Edoardo Serra, Francesca Spezzano, Francesco Gullo (2024). ACM International Conference on Information and Knowledge Management October 21--25, 2024 at Boise, Idaho (USA). _SIGWEB Newsletter, Spring 2024, Article 1, pp. 1-5, https://doi.org/10.1145/3663752.3663753_.

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Julieta Carricondo Robino, Antonela Tommasel (2024). eParticipation: Citizen Engagement, Challenges, and Technologies for a Two-way Relationship. _SADIO Electronic Journal of Informatics and Operations Research, 23(2), pp. 287-306, https://doi.org/10.24215/15146774e064_.

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Francisco T. Gallo, Nerea L. Herrero, Antonela Tommasel, Daniela Godoy, Ignacio Spiousas, Miguel Gasca-Rolin, Rodrigo Ramele, Pablo Martín Gleiser, Cecilia Forcato (2024). Differences in Emotional Content, Dream Awareness, and Dream Control Between Lucid Dreams and Out-of-Body Experiences: Report Analyses. _Dreaming, 35(S1), pp. S145-S160, https://doi.org/10.1037/drm0000283_.

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Antonela Tommasel, Ira Assent (2023). Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems. _IEEE International Conference on Big Data (BigData 2023), Sorrento, Italy, pp. 4195-4204, https://doi.org/10.1109/BigData59044.2023.10386616_.

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Francisco T. Gallo, Ignacio Spiousas, Nerea L. Herrero, Daniela Godoy, Antonela Tommasel, Miguel Gasca-Rolin, Rodrigo Ramele, Pablo M. Gleiser, Cecilia Forcato (2023). Structural differences between non-lucid dreams, lucid dreams and out-of-body experience reports assessed by graph analysis. _Scientific Reports, 13, pp. 19579, https://doi.org/10.1038/s41598-023-46817-2_.

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Hernán C. Vázquez, J. Andrés Diaz-Pace, Antonela Tommasel (2023). The JavaScript Package Selection Task: A Comparative Experiment Using ChatGPT. _XLIX Latin American Computer Conference (CLEI 2023), La Paz, Bolivia, pp. 1-10, https://doi.org/10.1109/CLEI60451.2023.10345786_.

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Antonela Tommasel, Rafael Pablos Sarabia, Ira Assent (2023). Re2Dan: Retrieval of Medical Documents for e-Health in Danish. _Proceedings of the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, pp. 1208-1211, https://doi.org/10.1145/3604915.3610655_.

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Julieta Carricondo Robino, Antonela Tommasel (2023). La eParticipación ciudadana: problemáticas y tecnologías hacia una relación bidireccional. Proceedings of the Argentine Symposium on Technology and Society (STS 2023), 52nd JAIIO, Buenos Aires, Argentina.

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Laura Giosa, Silvia Schiaffino, Ezequiel Valicenti, Mariana Brocca, J. Andrés Díaz-Pace, Daniela Godoy, Antonela Tommasel (2023). Detection of gender bias in judicial decisions. Derecho, Universidad y Justicia, 2(3), pp. 92-103.

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J. Andrés Diaz Pace, Santiago Vidal, Antonela Tommasel, Sebastian Frank, Andre van Hoorn (2023). Can Multi-Agent Consensus Improve Quality Tradeoffs in Software Architecture Optimization?. Cibse 2023.

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Francisco Gallo, Ignacio Spiousas, Nerea Herrero, Daniela Godoy, Antonela Tommasel, Miguel Gasca Rolín, Rodrigo Ramele, Pablo Gleiser, Cecilia Forcato (2023). Structural differences between non-lucid, lucid dreams and out-of-body experience reports assessed by graph analysis. PsyArXiv.

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Francisco Gallo, Nerea Herrero, Antonela Tommasel, Daniela Godoy, Ignacio Spiousas, Miguel Gasca Rolín, Rodrigo Ramele, Pablo Gleiser, Cecilia Forcato (2023). LUCID DREAMS AND OUT-OF-BODY EXPERIENCES REPORTS: DIFFERENCES IN EMOTIONAL CONTENT, DREAM AWARENESS, AND DREAM CONTROL. Psyarxiv.

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Joaquín Saralegui, Antonela Tommasel (2022). Towards automated fact-checking: An exploratory study on the detection of checkable statements in Spanish. XLI International Conference of the Chilean Computer Science Society (SCCC 2022).

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Mariana Brocca, J. Andrés Díaz Pace, Diego García-Olano, Laura Giosa, Daniela Godoy, Camila Lospinoso, Silvia Schiaffino, Alfonsina Soto Pineda, Antonela Tommasel, Ezequiel Valicenti (2022). Detección de sesgos en razón del género en decisiones judiciales utilizando PLN. SID 2022 - JAIIO 51.

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Antonela Tommasel, Filippo Menczer (2022). Do Recommender Systems Make Social Media More Susceptible to Misinformation Spreaders?. RecSys ‘22: Sixteenth ACM Conference on Recommender Systems September 2022 Pages 550–555 https://doi.org/10.1145/3523227.3551473.

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Antonela Tommasel, J. Andrés Diaz Pace (2022). Identifying emerging smells in software designs based on predicting package dependencies. EAAI, (115), pp. 105209, https://doi.org/10.1016/j.engappai.2022.105209.

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Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy (2022). Haven’t I just Listened to This?: Exploring Diversity in Music Recommendations. UMAP 2022, https://dl.acm.org/doi/abs/10.1145/3511047.3536409.

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Antonela Tommasel, Juan Manuel Rodriguez, Filippo Menczer (2022). Following the Trail of Fake News Spreaders in Social Media: A Deep Learning Model. UMAP 2022, https://dl.acm.org/doi/10.1145/3511047.3536410.

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J. Andrés Diaz Pace, Rodrigo Cian Berrios, Antonela Tommasel, Hernan C. Vazquez (2022). A Metrics-based Approach for Assessing Architecture-Implementation Mappings. Cibse 2022, https://doi.org/10.5753/cibse.2022.20960.

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María Pía Goicoechea, Julian Mastieri, Antonela Tommasel, Juan Manuel Rodriguez (2021). A Deep Learning model for estimating parking space availability. XL International Conference of the Chilean Computer Science Society (SCCC 2021).

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Francisco Gallo, Antonela Tommasel, Nerea Herrero, Cecilia Forcato, Daniela Godoy, Pablo Gleiser (2021). Structural differences between non-lucid, lucid dreams and out-of-body experience reports assessed by graph analysis. XXXVI Annual Meeting of the Argentinean Society of Neuroscience (SAN2021).

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Francisco Gallo, Nerea Herrero, Antonela Tommasel, Pablo Gleiser, Daniela Godoy, Cecilia Forcato (2021). Dream content during lucid dreams and out-of-body experiences, differences and similarities. XXXVI Annual Meeting of the Argentinean Society of Neuroscience (SAN2021).

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Antonela Tommasel, Andres Diaz Pace, Juan Manuel Rodriguez, Daniela Godoy (2021). Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic. TBIT, https://doi.org/10.1080/0144929X.2021.1998630.

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Antonela Tommasel, Daniela Godoy, Arkaitz Zubiaga (2021). OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems. RecSys ‘21: Fifteenth ACM Conference on Recommender SystemsSeptember 2021 Pages 789–79 https://doi.org/10.1145/3460231.3470941.

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Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy (2021). I Want to Break Free! Recommending Friends from Outside the Echo Chamber. RecSys ‘21: Fifteenth ACM Conference on Recommender Systems September 2021 Pages 23–3 https://doi.org/10.1145/3460231.3474270.

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Daniela Godoy, Antonela Tommasel (2021). Is my model biased? Exploring Unintended Bias in Misogyny Detection Tasks. 1st Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies @ IJCAI-2021.

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Irene Sala, Antonela Tommasel, Francesca Arcelli Fontana (2021). DebtHunter: A Machine Learning-based Approach for Detecting Self-Admitted Technical Debt. EASE 2021: Evaluation and Assessment in Software Engineering June 2021 Pages 278–28 https://doi.org/10.1145/3463274.3464455.

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Antonela Tommasel, Andres Diaz Pace, Juan Manuel Rodriguez, Daniela Godoy (2021). Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic. IID, Vol. 49 No. 3, pp. 259-268. https://doi.org/10.1108/IDD-01-2021-0003.

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Jorge Andrés Diaz Pace, Antonela Tommasel, Ilaria Pigazzini, Francesca Arcelli Fontana (2020). Sen4Smells: A Tool for Ranking Sensitive Smells for an Architecture Debt Index. 2020 IEEE Congreso Bienal de Argentina (ARGENCON) https://doi.org/ARGENCON49523.2020.9505535.

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Antonela Tommasel, Daniela Godoy, Juan Manuel Rodriguez (2020). Tracking the evolution of crisis processes and mental health on social mediaduring the COVID-19 pandemic. arXiv.

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Antonela Tommasel, Daniela Godoy (2020). Influence and performance of user similarity metrics in followee prediction. JIS.

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Antonela Tommasel, Daniela Godoy, Arkaitz Zubiaga (2020). Workshop on Online Misinformation- and Harm-Aware Recommender Systems. RecSys ‘20: Fourteenth ACM Conference on Recommender Systems September 2020 Pages 638–63 https://doi.org/10.1145/3383313.3411537.

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Antonela Tommasel, Daniela Godoy, Andres Diaz Pace (2020). Towards an effective e-Participation: an analysis of the interaction and engagement of Argentine digital citizens. EJS 2020.

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Antonela Tommasel, Daniela Godoy, Andres Diaz Pace (2019). Ciudadanos Digitales: explorando el rol de los medios sociales de comunicacion en la e-Participacion. STS 2019 - JAIIO 48.

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Antonela Tommasel, Daniela Godoy (2019). Short-text learning in social media: a review. KER, (34), pp. e7, https://doi.org/10.1017/S0269888919000018.

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Antonela Tommasel (2019). Friend or Foe: Studying user Trustworthiness for Friend Recommendation in the Era of Misinformation. AIKE 2019 pp. 273-276, https://doi.org/10.1109/AIKE.2019.00053.

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Antonela Tommasel (2019). Applying Social Network Analysis Techniques to Architectural Smell Prediction. ICSA, pp. 254-261, https://doi.org/10.1109/ICSA-C.2019.00053.

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Antonela Tommasel, Juan Rodriguez, Daniela Godoy (2019). An experimental study on feature engineering and learning approaches for aggression detection in social media. Inteligencia Artificial, (22), pp. 81-100, https://doi.org/10.4114/intartif.vol22iss63pp81-100.

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Antonela Tommasel, Daniela Godoy (2018). On the Evaluation of Community Detection Algorithms on Heterogeneous Social Media Data. Linking and Mining Heterogeneous and Multi-view Data, pp. 295–333, https://doi.org/10.1007/978-3-030-01872-6_12.

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Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy (2018). Features for detecting aggression in social media: An exploratory study. ASAI - JAIIO 47 (CABA, 2018).

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Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy (2018). Textual aggression detection through deep learning. Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018), pp. 177–187.

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Juan Manuel Rodriguez, Alejandro Zunino, Antonela Tommasel, Cristian Mateos (2018). Recurrent Neural Networks for Predicting Mobile Device State. NA, pp. 6658–6670.

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Antonela Tommasel, Daniela Godoy (2018). Multi-view community detection with heterogeneous information from social media data. NEUCOM, (289), pp. 195 - 219, https://doi.org/10.1016/j.neucom.2018.02.023.

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Andres Diaz Pace, Antonela Tommasel, Daniela Godoy (2018). Can Network Analysis Techniques Help to Predict Design Dependencies? An Initial Study. ICSA 2018, pp. 64-67, https://doi.org/10.1109/ICSA-C.2018.00025.

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Antonela Tommasel, Daniela Godoy (2018). A Social-aware online short-text feature selection technique for social media. INFFUS, (40), pp. 1 - 17, https://doi.org/10.1016/j.inffus.2017.05.003.

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Andres Diaz-Pace, Antonela Tommasel, Daniela Godoy (2018). [Research Paper] Towards Anticipation of Architectural Smells Using Link Prediction Techniques. 2018 IEEE SCAM, pp. 62-71, https://doi.org/10.1109/SCAM.2018.00015.

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Antonela Tommasel, Daniela Godoy (2017). Consensus community detection for multi-dimensional networks. CLEI 2017, pp. 1-10, https://doi.org/10.1109/CLEI.2017.8226388.

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Antonela Tommasel, Daniela Godoy, Alejandro Zunino (2017). SMArtOp: A Java library for distributing high-dimensional sparse-matrix arithmetic operations. SCICO, (150), pp. 26 - 30, https://doi.org/10.1016/j.scico.2017.06.005.

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Antonela Tommasel, Daniela Godoy (2017). Learning and adapting user criteria for recommending followees in social networks. JASIST, (68), pp. 1863-1874, https://doi.org/10.1002/asi.23861.

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Antonela Tommasel, Daniela Godoy (2016). Short-Text Feature Construction and Selection in Social Media Data: A Survey. AIR, (49), pp. 301–338, https://doi.org/10.1007/s10462-016-9528-0.

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Antonela Tommasel, Daniela Godoy, Alejandro Zunino, Cristian Mateos (2016). A distributed approach for accelerating sparse matrix arithmetic operations for high-dimensional feature selection. KAIS, (51), pp. 459–497 https://doi.org/10.1007/s10115-016-0981-5.

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Antonela Tommasel (2016). Integrating Social Network Structure into Online Feature Selection.. IJCAI'16, pp. 4032–4033.

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Antonela Tommasel, Alejandro Corbellini, Daniela Godoy, Silvia Schiaffino (2016). Personality-aware followee recommendation algorithms: An empirical analysis. EAAI, (51), pp. 24 - 36, https://doi.org/10.1016/j.engappai.2016.01.016.

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Antonela Tommasel, Alejandro Corbellini, Daniela Godoy, Silvia Schiaffino (2015). Exploring the role of personality traits in followee recommendation. OIR, Vol. 39 No. 6, pp. 812-830. https://doi.org/10.1108/OIR-04-2015-0107.

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Antonela Tommasel, Alejandro Corbellini, Daniela Godoy, Silvia Schiaffino (2015). On the Role of Personality Traits in Followee Recommendation Algorithms. ASAI 2015 - JAIIO 44 pp 105-112.

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Antonela Tommasel, Daniela Godoy (2015). An Adaptive Technique for Weighting Multiple Factors in Followee Recommendation Algorithms. CPCR+ITWP'15:, pp. 32–33.

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Antonela Tommasel, Daniela Godoy (2015). A Novel Metric for Assessing User Influence based on User Behaviour.. SocInf'15, pp. 15–21.

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Antonela Tommasel, Daniela Godoy (2014). Semantic grounding of social annotations for enhancing resource classification in folksonomies. JIIS, (44), pp. 415–446 https://doi.org/10.1007/s10844-014-0339-y.

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Antonela Tommasel, Cristian Mateos, Daniela Godoy, Alejandro Zunino (2014). Sparse-matrix arithmetic operations in computer clusters: A text feature selection application. pp. 458-463, https://doi.org/10.1109/ARGENCON.2014.6868535.

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Matias Nicoletti, Jorge Andres Diaz-Pace, Silvia Schiaffino, Antonela Tommasel, Daniela Godoy (2014). Personalized architectural documentation based on stakeholders' information needs. JSERD, (2), pp. 1–26.

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