Juan Manuel Rodriguez

49 papers A 1B 1C 4Misc 1Journal 29Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Learning Techniques for Text-Based Emotional Response Generation: A Systematic Review.
IEEE Trans. Affect. Comput.
Germán Lescano, Juan Manuel Rodriguez, Rosanna Costaguta
2025 J jnl
A Review of Privacy Metrics for Privacy-Preserving Synthetic Data Generation.
CoRR
Frederik M. Trudslev, Matteo Lissandrini, Juan Manuel Rodriguez, Martin Bøgsted, Daniele Dell'Aglio
2025 J jnl
Countering the Spread: An Approach to Identify Misinformation Spreaders in Social Media.
IEEE Trans. Comput. Soc. Syst.
Antonela Tommasel, Juan Manuel Rodriguez
2025 J jnl
PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation.
Proc. VLDB Endow.
Frederik M. Trudslev, Matteo Lissandrini, Juan Manuel Rodriguez, Martin Bøgsted, Daniele Dell'Aglio
2025 B conf
SpanishTweetsCOVID-19: A Social Media Enriched Covid-19 Twitter Spanish Dataset.
IEEE Big Data
Antonela Tommasel, Juan Manuel Rodriguez
2025 — conf
Trusting Gut Instincts: Transformer-Based Extraction of Structured Data from Gut-Brain Axis Publications.
CLEF (Working Notes)
Lasse Ryge Andersen, Mikkel Hagerup Dolmer, Marius Ihlen Gardshodn, Juan Manuel Rodriguez, Daniele Dell'Aglio
2024 C conf
Beyond Words: A Preliminary Study for Multimodal Hate Speech Detection.
CLEI
Sofía Barceló, Magalí Boulanger, Antonela Tommasel, Juan Manuel Rodriguez
2024 — conf
Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?
ECIR (4)
Juan Manuel Rodriguez, Nima Tavassoli, Eliezer Levy, Gil Lederman, Dima Sivov, Matteo Lissandrini, Davide Mottin
2024 — conf
Enriching Clinical Sample Analysis with Biological Knowledge Graphs: A Preliminary Study.
HealthRecSys@RecSys
Fatemeh Shad Bakhsh, Juan Manuel Rodriguez, Alessandro Ranieri, Kenneth Kastaniegaard, Daniele Dell'Aglio
2024 — conf
Leveraging User History with Transformers for News Clicking: The DArgk Approach.
RecSys Challenge
Juan Manuel Rodriguez, Antonela Tommasel
2023 J jnl
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction.
CoRR
Juan Manuel Rodriguez, Antonela Tommasel
2022 — conf
Following the Trail of Fake News Spreaders in Social Media: A Deep Learning Model.
UMAP (Adjunct Publication)
Antonela Tommasel, Juan Manuel Rodriguez, Filippo Menczer
2022 — conf
Haven't I just Listened to This?: Exploring Diversity in Music Recommendations.
UMAP (Adjunct Publication)
Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy
2022 J jnl
Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic.
Behav. Inf. Technol.
Antonela Tommasel, Jorge Andrés Díaz Pace, Daniela Godoy, Juan Manuel Rodriguez
2021 — conf
A Deep Learning model for estimating parking space availability.
SCCC
María Pía Goicoechea, Julián Mastieri, Antonela Tommasel, Juan Manuel Rodriguez
2021 J jnl
Capturing social media expressions during the COVID-19 pandemic in Argentina and forecasting mental health and emotions.
CoRR
Antonela Tommasel, J. Andres Diaz-Pace, Juan Manuel Rodriguez, Daniela Godoy
2021 A conf
I Want to Break Free! Recommending Friends from Outside the Echo Chamber.
RecSys
Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy
2020 J jnl
DewSim: A trace-driven toolkit for simulating mobile device clusters in Dew computing environments.
Softw. Pract. Exp.
Matías Hirsch, Cristian Mateos, Juan Manuel Rodriguez, Alejandro Zunino
2020 J jnl
Evaluating the Performance of Three Popular Web Mapping Libraries: A Case Study Using Argentina's Life Quality Index.
ISPRS Int. J. Geo Inf.
Alejandro Zunino, Guillermo Velázquez, Juan Pablo Celemín, Cristian Mateos, Matías Hirsch, Juan Manuel Rodriguez
2020 J jnl
Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic.
CoRR
Antonela Tommasel, Daniela Godoy, Juan Manuel Rodriguez
2019 J jnl
An experimental study on feature engineering and learning approaches for aggression detection in social media.
Inteligencia Artif.
Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy
2019 J jnl
Exploiting named entity recognition for improving syntactic-based web service discovery.
J. Inf. Sci.
Ignacio Lizarralde, Cristian Mateos, Juan Manuel Rodriguez, Alejandro Zunino
2018 J jnl
Body condition estimation on cows from depth images using Convolutional Neural Networks.
Comput. Electron. Agric.
J. Rodriguez Alvarez, Mauricio Arroqui, Pablo Mangudo, Juan Toloza, Daniel Jatip, Juan Manuel Rodriguez, Alfredo Raúl Teyseyre, Carlos Sanz, Alejandro Zunino, Claudio Machado, Cristian Mateos
2018 J jnl
Simple Energy Aware Scheduler: An Empirical Evaluation.
CLEI Electron. J.
Alexander Perez Campos, Juan Manuel Rodriguez, Alejandro Zunino
2018 J jnl
Spotting and Removing WSDL Anti-pattern Root Causes in Code-first Web Services Using NLP Techniques: A Thorough Validation of Impact on Service Discoverability.
Comput. Stand. Interfaces
Matías Hirsch, Ana Rodriguez, Juan Manuel Rodriguez, Cristian Mateos, Alejandro Zunino
2018 — conf
Textual Aggression Detection through Deep Learning.
TRAC@COLING 2018
Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy
2017 J jnl
A Two-Phase Energy-Aware Scheduling Approach for CPU-Intensive Jobs in Mobile Grids.
J. Grid Comput.
Matías Hirsch, Juan Manuel Rodriguez, Cristian Mateos, Alejandro Zunino
2017 J jnl
A multi-core computing approach for large-scale multi-label classification.
Intell. Data Anal.
Juan Manuel Rodriguez, Daniela Godoy, Cristian Mateos, Alejandro Zunino
2017 C conf
A performance comparison of data-aware heuristics for scheduling jobs in mobile grids.
CLEI
Matías Hirsch, Cristian Mateos, Juan Manuel Rodriguez, Alejandro Zunino, Yisel Gari, David A. Monge
2017 C conf
An empirical evaluation of a simple energy aware scheduler for mobile grids.
CLEI
Alexander Perez Campos, Juan Manuel Rodriguez, Alejandro Zunino
2017 C conf
Word embeddings for improving REST services discoverability.
CLEI
Ignacio Lizarralde, Juan Manuel Rodriguez, Cristian Mateos, Alejandro Zunino
2016 J jnl
Battery-aware centralized schedulers for CPU-bound jobs in mobile Grids.
Pervasive Mob. Comput.
Matías Hirsch, Juan Manuel Rodriguez, Alejandro Zunino, Cristian Mateos
2015 J jnl
A tool to improve code-first Web services discoverability through text mining techniques.
Softw. Pract. Exp.
Cristian Mateos, Juan Manuel Rodriguez, Alejandro Zunino
2015 J jnl
Assisting developers to build high-quality code-first Web Service APIs.
J. Web Eng.
Juan Manuel Rodriguez, Cristian Mateos, Alejandro Zunino
2015 Misc conf
Improving REST Service Discovery with Unsupervised Learning Techniques.
CISIS
Juan Manuel Rodriguez, Alejandro Zunino, Cristian Mateos, Felix Oscar Segura, Emmanuel Rodriguez
2015 J jnl
Measuring the impact of the approach to migration in the quality of web service interfaces.
Enterp. Inf. Syst.
Cristian Mateos, Marco Crasso, Juan Manuel Rodriguez, Alejandro Zunino, Marcelo R. Campo
2014 J jnl
Energy-efficient job stealing for CPU-intensive processing in mobile devices.
Computing
Juan Manuel Rodriguez, Cristian Mateos, Alejandro Zunino
2014 — conf
Usage pattern mining for smartphone use personalization.
IHC
Carlos Rios, Juan Manuel Rodriguez, Daniela Godoy, Silvia N. Schiaffino, Alejandro Zunino
2013 J jnl
An Approach for Web Service Discoverability Anti-Patterns Detection.
J. Web Eng.
Juan Manuel Rodriguez, Marco Crasso, Alejandro Zunino
2013 J jnl
Best practices for describing, consuming, and discovering web services: a comprehensive toolset.
Softw. Pract. Exp.
Juan Manuel Rodriguez, Marco Crasso, Cristian Mateos, Alejandro Zunino
2013 J jnl
Bottom-Up and Top-Down Cobol System Migration to Web Services.
IEEE Internet Comput.
Juan Manuel Rodriguez, Marco Crasso, Cristian Mateos, Alejandro Zunino, Marcelo Campo
2013 — ch.
The SOA Frontier.
Migrating Legacy Applications
Juan Manuel Rodriguez, Marco Crasso, Cristian Mateos, Alejandro Zunino, Marcelo Campo, Gonzalo Salvatierra
2011 — conf
Are Smartphones Really Useful for Scientific Computing?
ADNTIIC
Juan Manuel Rodriguez, Cristian Mateos, Alejandro Zunino
2011 J jnl
Introducing mobile devices into Grid systems: a survey.
Int. J. Web Grid Serv.
Juan Manuel Rodriguez, Alejandro Zunino, Marcelo R. Campo
2011 J jnl
The EasySOC Project: A Rich Catalog of Best Practices for Developing Web Service Applications.
CLEI Electron. J.
Juan Manuel Rodriguez, Marco Crasso, Cristian Mateos, Alejandro Zunino, Marcelo Campo
2010 — conf
Automatically Detecting Opportunities for Web Service Descriptions Improvement.
I3E
Juan Manuel Rodriguez, Marco Crasso, Alejandro Zunino, Marcelo Campo
2010 J jnl
Improving Web Service descriptions for effective service discovery.
Sci. Comput. Program.
Juan Manuel Rodriguez, Marco Crasso, Alejandro Zunino, Marcelo Campo
2010 J jnl
Revising WSDL Documents: Why and How.
IEEE Internet Comput.
Marco Crasso, Juan Manuel Rodriguez, Alejandro Zunino, Marcelo Campo
2010 — conf
The EasySOC Project: A Rich Catalog of Best Practices for Developing Web Service Applications.
SCCC
Juan Manuel Rodriguez, Marco Crasso, Cristian Mateos, Alejandro Zunino, Marcelo Campo