Leonardo Rocha
Orcid: 0000-0002-4913-4902Affiliations:
- Federal University of São João del-Rei, Brazil
According to our database1,
Leonardo Rocha
authored at least 126 papers
between 2003 and 2023.
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Bibliography
2023
Expert Syst. J. Knowl. Eng., December, 2023
User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience.
Trans. Recomm. Syst., March, 2023
On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!".
Inf. Process. Manag., 2023
A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification.
ACM Comput. Surv., 2023
TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method.
CoRR, 2023
Applied Explainable Artificial Intelligence (XAI) in the classification of retinal images for support in the diagnosis of Glaucoma.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023
CluSent - Combining Semantic Expansion and De-Noising for Dataset-Oriented Sentiment Analysis of Short Texts.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023
A Complete Framework for Offline and Counterfactual Evaluations of Interactive Recommendation Systems.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023
Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Uma Metodologia para Tratamento do Viés da Maioria em Modelos de Stacking via Identificação de Documentos Difíceis.
Proceedings of the 38th Brazilian Symposium on Databases, 2023
Automatic Features Extraction from the Optic Cup and Disc Segmentation for Glaucoma Classification.
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023
Integrating Counterfactual Evaluations into Traditional Interactive Recommendation Frameworks.
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023
2022
Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data.
J. Interact. Syst., September, 2022
Semantic Academic Profiler (SAP): a framework for researcher assessment based on semantic topic modeling.
Scientometrics, 2022
Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data.
Knowl. Based Syst., 2022
Inf. Syst., 2022
Multi-Armed Bandits in Recommendation Systems: A survey of the state-of-the-art and future directions.
Expert Syst. Appl., 2022
Introducing Contextual Information in an Ensemble Recommendation System for Fashion Domains.
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022
Interactive POI Recommendation: applying a Multi-Armed Bandit framework to characterise and create new models for this scenario.
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022
2021
Inf. Syst., 2021
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study.
Inf. Process. Manag., 2021
Effective and diverse POI recommendations through complementary diversification models.
Expert Syst. Appl., 2021
The matching scarcity problem: When recommenders do not connect the edges in recruitment services.
Expert Syst. Appl., 2021
Adv. Data Anal. Classif., 2021
A contextual approach to improve the user's experience in interactive recommendation systems.
Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021
Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021
Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021
ReBase: data acquisition and management system for neuromotor rehabilitation supported by virtual and augmented reality.
Proceedings of the SVR'21: 23rd Symposium on Virtual and Augmented Reality, Virtual Event, Brazil, October 18, 2021
Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context.
Proceedings of the SVR'21: 23rd Symposium on Virtual and Augmented Reality, Virtual Event, Brazil, October 18, 2021
StoryTracker: A Semantic-Oriented Tool for Automatic Tracking Events by Web Documents.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
An Article-Oriented Framework for Automatic Semantic Analysis of COVID-19 Researches.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Inf. Syst., 2020
Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling.
Inf. Process. Manag., 2020
Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020
Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020
The impact of first recommendations based on exploration or exploitation approaches in recommender systems' learning.
Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020
Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020
Proceedings of the SBSI'20: XVI Brazilian Symposium on Information Systems, 2020
An Evaluation of Low-Quality Content Detection Strategies: Which Attributes Are Still Relevant, Which Are Not?
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains.
Inf. Syst., 2019
CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Exploiting the user activity-level to improve the models' accuracy in point-of-interest recommender systems.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019
A characterization methodology for candidates and recruiters interaction in online recruitment services.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019
A data exploratory methodology to understand the users' interactions in nonlinear web multimedia services.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019
Proceedings of the 21st Symposium on Virtual and Augmented Reality, 2019
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
A Particle Swarm approach to mitigate the apparent diversity-accuracy dilemma in recommendation domains in recommendation domains.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Inf. Sci., 2018
Improving random forests by neighborhood projection for effective text classification.
Inf. Syst., 2018
Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification.
Neurocomputing, 2018
A Genetic Programming approach for feature selection in highly dimensional skewed data.
Neurocomputing, 2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Understanding Users-Contents Interaction in Non-Linear Multimedia Streaming Services.
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 2018
Please please me: does the presence of test cases influence mobile app users' satisfaction?
Proceedings of the XXXII Brazilian Symposium on Software Engineering, 2018
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018
Proceedings of the Computational Science - ICCS 2018, 2018
Evaluating Dynamic Scheduling of Tasks in Mobile Architectures Using ParallelME Framework.
Proceedings of the Computational Science - ICCS 2018, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
J. Inf. Data Manag., 2017
Inf. Syst., 2017
Evaluating Different Strategies to Mitigate the Ramp-up Problem in Recommendation Domains.
Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017
Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017
Proceedings of the 29th International Symposium on Computer Architecture and High Performance Computing, 2017
Proceedings of the Symposium on Applied Computing, 2017
A Framework for Direct and Transparent Data Exchange of Filter-stream Applications in Multi-GPUs Architectures.
Proceedings of the International Conference on Computational Science, 2017
Devising a computational model based on data mining techniques to predict concrete compressive strength.
Proceedings of the International Conference on Computational Science, 2017
2016
J. Assoc. Inf. Sci. Technol., 2016
Proceedings of the International Conference on Computational Science 2016, 2016
Hierarchical Density-Based Clustering based on GPU Accelerated Data Indexing Strategy.
Proceedings of the International Conference on Computational Science 2016, 2016
ParallelME: A Parallel Mobile Engine to Explore Heterogeneity in Mobile Computing Architectures.
Proceedings of the Euro-Par 2016: Parallel Processing, 2016
Connecting Opinions to Opinion-Leaders: A Case Study on Brazilian Political Protests.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
2015
J. Web Semant., 2015
BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015
G-KNN: an efficient document classification algorithm for sparse datasets on GPUs using KNN.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
Proceedings of the International Conference on Computational Science, 2015
Quantifying Complementarity among Strategies for Influeners' Detection on Twitter<sup>1</sup>.
Proceedings of the International Conference on Computational Science, 2015
Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Efficient Execution of Microscopy Image Analysis on CPU, GPU, and MIC Equipped Cluster Systems.
Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing, 2014
Proceedings of the Symposium on Applied Computing, 2014
Proceedings of the Symposium on Applied Computing, 2014
A Strategy to Workload Division for Massively Particle-Particle N-body Simulations on GPUs.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
Inf. Syst., 2013
Proceedings of the 25th International Symposium on Computer Architecture and High Performance Computing, 2013
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013
Proceedings of the International Conference on Computational Science, 2013
2012
Proceedings of the International Conference on Computational Science, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
J. Inf. Data Manag., 2011
A Characterization Methodology of Evolutionary Behavior in Recommender Systems.
Proceedings of the WEBIST 2011, 2011
2010
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010
2009
Quantifying the Impact of Information Aggregation on Complex Networks: A Temporal Perspective.
Proceedings of the Algorithms and Models for the Web-Graph, 6th International Workshop, 2009
Proceedings of the XXIV Simpósio Brasileiro de Banco de Dados, 2009
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009
2008
Proceedings of the International Conference on Web Search and Web Data Mining, 2008
Reactivity in Online Auctions: Understanding Bidding Behavior through Reactive Transitions.
Proceedings of the 10th IEEE International Conference on E-Commerce Technology (CEC 2008) / 5th IEEE International Conference on Enterprise Computing, 2008
Evaluating Longitudinal Aspects of Online Bidding Behavior.
Proceedings of the WEBIST 2008, 2008
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008
2007
Analyzing ebay Negotiation Patterns.
Proceedings of the WEBIST 2007, 2007
Characterization of Online Auctions: Correlating Negotiation Patterns and Bidding Behavior.
Proceedings of the Fifth Latin American Web Congress (LA-Web 2007), 31 October, 2007
2006
Caracterizando desafios de interação com sistemas de mineração de regras de associação.
Proceedings of the VII Symposium on Human Factors in Computer Systems, 2006
2005
AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2005
2004
SIGMETRICS Perform. Evaluation Rev., 2004
2003
Proceedings of the 1st Latin American Web Congress (LA-WEB 2003), 2003