D Godoy

Latest

• Análisis y comparación de respuestas aportadas por la IA generativa y por profesores de matemática a un problema de geometría Euclidiana
• Medios, técnicas e instrumentos evaluativos: Propuesta de estudiantes para profesor de matemática y chatbots
• Profesores de matemática en servicio: análisis de propuestas de enseñanza con inteligencia artificial generativa
• Exploración del uso de inteligencia artificial generativa en propuestas didácticas de matemática y física
• A cross-dimensional analysis of LLM answers from a Mathematics education perspective
• Educación e inteligencia artificial: desempeño de chatbots y profesores de matemática en la resolución de problemas geométricos
• Differences in emotional content, dream awareness, and dream control between lucid dreams and out-of-body experiences: Report analyses
• La evaluación en educación matemática: aportes de chatbots y futuros profesores de matemática
• Can pharmacovigilance be performed on social media? Mining adverse vaccine reactions from Twitter
• Are online harm spreaders birds of the same feather? A multi-dimensional study on the characteristics of social media harm spreaders
• On the moral intuitions of fake news spreaders
• Fractal de Koch: análisis de respuestas de IA generativa y un profesor de matemática
• Can generative AI solve geometry problems? Strengths and weaknesses of LLMs for geometric reasoning in Spanish
• A lightweight approach for building user mobility profiles
• Multi-dimensional feature extraction for the identification of online harm spreaders
• Structural differences between non-lucid dreams, lucid dreams and out-of-body experience reports assessed by graph analysis
• A study on influential features for predicting best answers in community question-answering forums
• Special issue on intelligent systems for tackling online harms
• Influence and performance of user similarity metrics in followee prediction
• Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic
• Haven't I just listened to this?: Exploring diversity in music recommendations
• An analysis of distributed programming models and frameworks for large-scale graph processing
• 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
• Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic
• Evaluating machine learning approaches for evapotranspiration estimation in the Pampean region of Argentina
• Workshop on Online Misinformation- and Harm-Aware Recommender Systems
• Guest editorial - Special Issue on Social Recommender Systems: Impact on individual life and society
• A MAS-based approach for POI group recommendation in LBSN
• Short-text learning in social media: A review
• An experimental study on feature engineering and learning approaches for aggression detection in social media
• 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
• Textual aggression detection through deep learning
• A study of neighbor selection strategies for POI recommendation in LBSNs
• DPM: A novel distributed large-scale social graph processing framework for link prediction algorithms
• Multi-view community detection with heterogeneous information from social media data
• Short-text feature construction and selection in social media data: A survey
• Consensus community detection for multi-dimensional networks
• Mining social Web service repositories for social relationships to aid service discovery
• Task scheduling for processing big graphs in heterogeneous commodity clusters
• A distributed approach for accelerating sparse-matrix arithmetic operations for high-dimensional feature selection
• A multi-core computing approach for large-scale multi-label classification
• Learning and adapting user criteria for recommending followees in social networks
• Persisting Big Data: The NoSQL landscape
• Selecting and weighting users in collaborative filtering based POI recommendation
• SMArtOp: A Java library for distributing high-dimensional sparse-matrix arithmetic operations
• An evaluation of distributed processing models for random walk-based link prediction algorithms over social big data
• Integrating heterogeneous information from social networks into community detection
• On the impact of neighborhood selection strategies for recommender systems in LBSNs
• An empirical comparison of feature selection methods in problem transformation multi-label classification
• Folksonomy-based recommender systems - A state-of-the-art review
• Personality-aware followee recommendation algorithms: An empirical analysis
• A novel metric for assessing user influence based on user behaviour
• A programming interface and framework for developing recommendation algorithms on large-scale social networks
• An adaptive technique for weighting multiple factors in followee recommendation algorithms
• An architecture and platform for developing distributed recommendation algorithms on large-scale social networks
• Exploring the role of personality traits in followee recommendation
• Publication practices in the Argentinian computer science community: A bibliometric perspective
• Semantic grounding of social annotations for enhancing resource classification in folksonomies
• How do personality traits affect communication among users in online social networks?
• Leveraging semantic similarity for folksonomy-based recommendation
• NLP-based faceted search: Experience in the development of a science and technology search engine
• Followee recommendation in Twitter based on text analysis of micro-blogging activity
• Mining interests for user profiling in electronic conversations
• Comparing one-class classification algorithms for finding interesting resources in social bookmarking systems
• One-class support vector machines for personalized tag-based resource classification in social bookmarking systems
• Enabling topic-level trust for collaborative information sharing
• Evaluating tag filtering techniques for Web resource classification in folksonomies
• Evaluating term weighting schemes for content-based tag recommendation in social tagging systems
• Functional grouping of natural language requirements for assistance in architectural software design
• Mining textual requirements to assist architectural software design: A state of the art review
• Topology-based recommendation of users in micro-blogging communities
• Can your friends help you to find interesting multimedia content on Web 2.0?
• Intelligent analysis of user interactions in a collaborative software engineering context
• A topology-based approach for followees recommendation in Twitter
• Towards a followee recommender system for information seeking users in Twitter
• Exploiting the social capital of folksonomies for Web page classification
• On the role of social tags in filtering interesting resources from folksonomies
• Identification of non-functional requirements in textual specifications: A semi-supervised learning approach
• Integrating user modeling approaches into a framework for recommender agents
• Interest drifts in user profiling: A relevance-based approach and analysis of scenarios
• Supporting the discovery and labeling of non-taxonomic relationships in ontology learning
• Hybrid content and tag-based profiles for recommendation in collaborative tagging systems
• Exploiting user interests to characterize navigational patterns in Web browsing assistance
• Collaborative Web search based on user interest similarity
• Modeling interests of Web users for recommendation: A user profiling approach and trends
• An agent-based recommender system to support collaborative Web search based on shared user interests
• Learning browsing patterns for context-aware recommendation
• Modeling user interests by conceptual clustering
• Learning styles' recognition in E-learning environments with feed-forward neural networks
• A conceptual clustering approach for user profiling in personal information agents
• A genetic algorithm approach to recognize students' learning styles
• Learning user interests for user profiling in personal information agents
• Personal assistants: Direct manipulation vs. mixed initiative interfaces
• User profiling for Web page filtering
• User profiling in personal information agents: A survey
• Interface agents personalizing Web-based tasks
• Enriching information agents' knowledge by ontology comparison: A case study
• PersonalSearcher: An intelligent agent for searching Web pages
• Assessing the quality of academic Web sites: A case study