Paulo Rodrigo Cavalin

According to our database1, Paulo Rodrigo Cavalin authored at least 42 papers between 2006 and 2020.

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



In proceedings 
PhD thesis 




Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms.
CoRR, 2020

A Hybrid Solution to Learn Turn-Taking in Multi-Party Service-based Chat Groups.
CoRR, 2020

Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Creating Corpora for Seq2Seq Tone Rephrasing Using Social Media Posts.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020

Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Intentions, Meanings, and Whys: Designing Content for Voice-based Conversational Museum Guides.
Proceedings of the 2nd Conference on Conversational User Interfaces, 2020

Learning Multi-Party Turn-Taking Models from Dialogue Logs.
CoRR, 2019

Live It Up: Analyzing Emotions and Language Use in Tweets during the Soccer World Cup Finals.
Proceedings of the 11th ACM Conference on Web Science, 2019

The Effect of Audiences on the User Experience with Conversational Interfaces in Physical Spaces.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Different but Equal: Comparing User Collaboration with Digital Personal Assistants vs. Teams of Expert Agents.
CoRR, 2018

Combining Textual Content and Structure to Improve Dialog Similarity.
CoRR, 2018

Towards a Human-in-the-Loop Library for Tracking Hyperparameter Tuning in Deep Learning Development.
Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

Confusion Matrix-Based Building of Hierarchical Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Specifying and Implementing Multi-Party Conversation Rules with Finite-State-Automata.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Methodology and Results for the Competition on Semantic Similarity Evaluation and Entailment Recognition for PROPOR 2016.
CoRR, 2017

Multi-scale Forest Species Recognition Systems for Reduced Cost.
CoRR, 2017

A Hybrid Architecture for Multi-Party Conversational Systems.
CoRR, 2017

Deep features for breast cancer histopathological image classification.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Multi-scale texture recognition systems with reduced cost: A case study on forest species.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A Review of Texture Classification Methods and Databases.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2017

Blue Man Group no ASSIN: Usando Representações Distribuídas para Similaridade Semântica e Inferência Textual.
Linguamática, 2016

Building a Question-Answering Corpus Using Social Media and News Articles.
Proceedings of the Computational Processing of the Portuguese Language, 2016

A scalable architecture for real-time analysis of microblogging data.
IBM J. Res. Dev., 2015

Transfer learning between texture classification tasks using Convolutional Neural Networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Multiple Classifier System for Classifying Life Events on Social Media.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

An Adaptive Multi-level Framework for Forest Species Recognition.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

Handling big data on agent-based modeling of online social networks with mapreduce.
Proceedings of the 2014 Winter Simulation Conference, 2014

Automatic forest species recognition based on multiple feature sets.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Forest Species Recognition Using Deep Convolutional Neural Networks.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Towards Personalized Offers by Means of Life Event Detection on Social Media and Entity Matching.
Proceedings of the Hypertext 2014 Extended Proceedings: Late-breaking Results, 2014

Dynamic selection approaches for multiple classifier systems.
Neural Comput. Appl., 2013

A simulation-based approach to analyze the information diffusion in Microblogging Online Social Network.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

A multiple feature vector framework for forest species recognition.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Large-Scale Multi-agent-Based Modeling and Simulation of Microblogging-Based Online Social Network.
Proceedings of the Multi-Agent-Based Simulation XIV - International Workshop, 2013

Reaction times for user behavior models in microblogging online social networks.
Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, 2013

LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs.
Pattern Recognit., 2012

Dynamic Selection of Ensembles of Classifiers Using Contextual Information.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

Evaluation of incremental learning algorithms for HMM in the recognition of alphanumeric characters.
Pattern Recognit., 2009

Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Inspeção Automática de Defeitos em Madeiras de Pinus usando Visão Computacional.
RITA, 2008

An implicit segmentation-based method for recognition of handwritten strings of characters.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006