Antonela Tommasel

Latest

• A Surrogate-based Approach for Fast Multi-objective Architectural Refactoring Optimization
• A Text Mining and Classification Approach for Analyzing Architecture Decision Records
• A Multimedia Perspective on the Study of Cognitive Biases in Large Language Models
• Measuring Human-Like Bias in LLMs? A Critique of Human-Derived Bias Constructs in LLM Evaluation
• 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
• 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
• Training seeds and model-selection stability in recommender-system evaluation
• What Price Fairness? Evaluating Energy – Fairness – Accuracy Trade-off in Recommender Systems
• When Model Outputs Become Social Evidence: Challenges for LLM-Mediated Web and Social Media Analysis
• Who Judges the Frame? Auditing Multimodal LLM Judges for News Framing Across Event-Level Perspectives
• A Hybrid RAG for Answering Questions about Technical Documentation from Github Projects
• Distilling Multilingual Models for Few-Shot Gender-Bias Detection in Spanish Judicial Texts: A Systematic Literature Review
• From emotional hooks to conspiratorial claims: A teen-focused game for reflecting on misinformation interactions
• How Prompting Shapes LLM-Generated Explanations for Recommender Systems: A Multi-Prompt Comparison Across Domains
• Identifying Misinformation Spreaders through Multi-Source User Modeling
• REFLECT: Tutorial on Reflecting on Bias in LLMs through Human-Centered Perspectives
• Cognitive Effects and Biases in Large Language Models
• Energy Footprint of Data Reduction Strategies for Recommender Systems
• SpanishTweetsCOVID-19: A Social Media Enriched Covid-19 Twitter Spanish Dataset
• Characterizing Positional Bias in Large Language Models: A Multi-Model Evaluation of Prompt Order Effects
• Una Arquitectura Híbrida Extensible para Sistemas IA-Ready
• BEHAV-E! You are Not Just a Number to Us, but an R^2048 Embedding
• Investigating Carbon Footprint of Recommender Systems Beyond Training Time
• Fine-tuning for Inference-efficient Calibrated Recommendations
• A framework for characterising the hows and whens of social media communication during crises
• How Much Longer?: Estimating Bus Arrival Times with Predictive Models
• Architecture Exploration and Reflection Meet LLM-based Agents
• Countering the Spread: An Approach to Identify Misinformation Spreaders in Social Media
• Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval
• Leveraging User History with Transformers for News Clicking: The DArgk Approach
• Fairness Matters: A look at LLM-generated group recommendations
• Leveraging Monte Carlo Tree Search for Group Recommendation
• Helping Novice Architects to Make Quality Design Decisions Using an LLM-Based Assistant
• Arquitecturas para Aplicaciones con Inteligencia Artificial: Un Mapeo Sistemático de la Literatura
• Beyond Words: A Preliminary Study for Multimodal Hate Speech Detection
• Detection of Gender Bias in Legal Texts Using Classification and LLMs
• Towards Automated Fact-Checking: An Exploratory Study on Identifying Check-worthy Phrases for Verification
• The JavaScript Package Selection Task: A Comparative Experiment Using an LLM-based Approach
• ACM International Conference on Information and Knowledge Management October 21--25, 2024 at Boise, Idaho (USA)
• eParticipation: Citizen Engagement, Challenges, and Technologies for a Two-way Relationship
• Differences in Emotional Content, Dream Awareness, and Dream Control Between Lucid Dreams and Out-of-Body Experiences: Report Analyses
• Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems
• Structural differences between non-lucid dreams, lucid dreams and out-of-body experience reports assessed by graph analysis
• The JavaScript Package Selection Task: A Comparative Experiment Using ChatGPT
• Re2Dan: Retrieval of Medical Documents for e-Health in Danish
• La eParticipación ciudadana: problemáticas y tecnologías hacia una relación bidireccional
• Detection of gender bias in judicial decisions
• Can Multi-Agent Consensus Improve Quality Tradeoffs in Software Architecture Optimization?
• LUCID DREAMS AND OUT-OF-BODY EXPERIENCES REPORTS: DIFFERENCES IN EMOTIONAL CONTENT, DREAM AWARENESS, AND DREAM CONTROL
• Structural differences between non-lucid, lucid dreams and out-of-body experience reports assessed by graph analysis
• Towards automated fact-checking: An exploratory study on the detection of checkable statements in Spanish
• Detección de sesgos en razón del género en decisiones judiciales utilizando PLN
• Do Recommender Systems Make Social Media More Susceptible to Misinformation Spreaders?
• Recommender systems and misinformation: What can we do about them?
• Identifying emerging smells in software designs based on predicting package dependencies
• Following the Trail of Fake News Spreaders in Social Media: A Deep Learning Model
• Haven’t I just Listened to This?: Exploring Diversity in Music Recommendations
• A Metrics-based Approach for Assessing Architecture-Implementation Mappings
• A Deep Learning model for estimating parking space availability
• Dream content during lucid dreams and out-of-body experiences, differences and similarities
• Structural differences between non-lucid, lucid dreams and out-of-body experience reports assessed by graph analysis
• Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic
• I Want to Break Free! Recommending Friends from Outside the Echo Chamber
• OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems
• Is my model biased? Exploring Unintended Bias in Misogyny Detection Tasks
• DebtHunter: A Machine Learning-based Approach for Detecting Self-Admitted Technical Debt
• Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic
• Sen4Smells: A Tool for Ranking Sensitive Smells for an Architecture Debt Index
• Influence and performance of user similarity metrics in followee prediction
• Tracking the evolution of crisis processes and mental health on social mediaduring the COVID-19 pandemic
• From Smart Cities to Social Cities: Smart Cities at the Service of Social Good
• Workshop on Online Misinformation- and Harm-Aware Recommender Systems
• Surviving to social media in the misinformation era
• Towards an effective e-Participation: an analysis of the interaction and engagement of Argentine digital citizens
• Keeping one-step ahead of Architectural Smells: A Machine Learning application
• Ciudadanos Digitales: explorando el rol de los medios sociales de comunicacion en la e-Participacion
• Friends or Foe: Recommending friends in the misinformation era
• Friend or Foe: Studying user Trustworthiness for Friend Recommendation in the Era of Misinformation
• Short-text learning in social media: a review
• Applying Social Network Analysis Techniques to Architectural Smell Prediction
• An experimental study on feature engineering and learning approaches for aggression detection in social media
• Features for detecting aggression in social media: An exploratory study
• On the Evaluation of Community Detection Algorithms on Heterogeneous Social Media Data
• Keeping one-step ahead of Architectural Smells: A Machine Learning application
• [Research Paper] Towards Anticipation of Architectural Smells Using Link Prediction Techniques
• A Social-aware online short-text feature selection technique for social media
• Can Network Analysis Techniques Help to Predict Design Dependencies? An Initial Study
• Multi-view community detection with heterogeneous information from social media data
• Recurrent Neural Networks for Predicting Mobile Device State
• Textual aggression detection through deep learning
• Consensus community detection for multi-dimensional networks
• Learning and adapting user criteria for recommending followees in social networks
• SMArtOp: A Java library for distributing high-dimensional sparse-matrix arithmetic operations
• Short-Text Feature Construction and Selection in Social Media Data: A Survey
• A distributed approach for accelerating sparse matrix arithmetic operations for high-dimensional feature selection
• Integrating Social Network Structure into Online Feature Selection.
• Personality-aware followee recommendation algorithms: An empirical analysis
• Exploring the role of personality traits in followee recommendation
• On the Role of Personality Traits in Followee Recommendation Algorithms
• A Novel Metric for Assessing User Influence based on User Behaviour.
• An Adaptive Technique for Weighting Multiple Factors in Followee Recommendation Algorithms
• Semantic grounding of social annotations for enhancing resource classification in folksonomies
• Sparse-matrix arithmetic operations in computer clusters: A text feature selection application
• Personalized architectural documentation based on stakeholders' information needs