Juan Manuel Rodriguez

Orcid: 0000-0002-1130-8065

According to our database1, Juan Manuel Rodriguez authored at least 41 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

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

Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?
Proceedings of the Advances in Information Retrieval, 2024

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

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

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

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

2020
DewSim: A trace-driven toolkit for simulating mobile device clusters in Dew computing environments.
Softw. Pract. Exp., 2020

Evaluating the Performance of Three Popular Web Mapping Libraries: A Case Study Using Argentina's Life Quality Index.
ISPRS Int. J. Geo Inf., 2020

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

2019
Exploiting named entity recognition for improving syntactic-based web service discovery.
J. Inf. Sci., 2019

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

2018
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, 2018

Simple Energy Aware Scheduler: An Empirical Evaluation.
CLEI Electron. J., 2018

Body condition estimation on cows from depth images using Convolutional Neural Networks.
Comput. Electron. Agric., 2018

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

2017
A multi-core computing approach for large-scale multi-label classification.
Intell. Data Anal., 2017

A Two-Phase Energy-Aware Scheduling Approach for CPU-Intensive Jobs in Mobile Grids.
J. Grid Comput., 2017

Word embeddings for improving REST services discoverability.
Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

A performance comparison of data-aware heuristics for scheduling jobs in mobile grids.
Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

An empirical evaluation of a simple energy aware scheduler for mobile grids.
Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

2016
Battery-aware centralized schedulers for CPU-bound jobs in mobile Grids.
Pervasive Mob. Comput., 2016

2015
A tool to improve code-first Web services discoverability through text mining techniques.
Softw. Pract. Exp., 2015

Assisting developers to build high-quality code-first Web Service APIs.
J. Web Eng., 2015

Measuring the impact of the approach to migration in the quality of web service interfaces.
Enterp. Inf. Syst., 2015

Improving REST Service Discovery with Unsupervised Learning Techniques.
Proceedings of the Ninth International Conference on Complex, 2015

2014
Energy-efficient job stealing for CPU-intensive processing in mobile devices.
Computing, 2014

Usage pattern mining for smartphone use personalization.
Proceedings of the 13th Brazilian Symposium on Human Factors in Computing Systems, 2014

2013
Best practices for describing, consuming, and discovering web services: a comprehensive toolset.
Softw. Pract. Exp., 2013

An Approach for Web Service Discoverability Anti-Patterns Detection.
J. Web Eng., 2013

Bottom-Up and Top-Down Cobol System Migration to Web Services.
IEEE Internet Comput., 2013

The SOA Frontier.
Proceedings of the Migrating Legacy Applications, 2013

2011
Introducing mobile devices into Grid systems: a survey.
Int. J. Web Grid Serv., 2011

The EasySOC Project: A Rich Catalog of Best Practices for Developing Web Service Applications.
CLEI Electron. J., 2011

Are Smartphones Really Useful for Scientific Computing?
Proceedings of the Advances in New Technologies, Interactive Interfaces and Communicability, 2011

2010
Improving Web Service descriptions for effective service discovery.
Sci. Comput. Program., 2010

Revising WSDL Documents: Why and How.
IEEE Internet Comput., 2010

Automatically Detecting Opportunities for Web Service Descriptions Improvement.
Proceedings of the Software Services for e-World, 2010


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