Link Search Menu Expand Document

Accepted Papers

Extended Abstracts

ID

Paper Title

Author Names

PDF

Poster

Pitch

Citation

2 A Tree-Adaptation Mechanism for Covariate and Concept Drift
Machine Learning Extended Abstract Oral
Felipe Leno da Silva; Raphael Cobe; Renato Vicente


Leno Da Silva, F. et al., (2021). A Tree-Adaptation Mechanism for Covariate and Concept Drift [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_02.pdf
3 GAN-based Data Mapping for Model Adaptation
Deep Learning Extended Abstract Oral
Felipe Leno da Silva; Ruben Glatt; Raphael Cobe; Renato Vicente


Leno Da Silva, F. et al., (2021). GAN-based Data Mapping for Model Adaptation [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_03.pdf
4 Population Dynamics for Discrete Wasserstein Gradient Flows over Networks
Applications Extended Abstract Oral
Gilberto Diaz-Garcia; César A. Uribe; Nicanor Quijano;


Diaz-Garcia, G. et al., (2021). Population Dynamics for Discrete Wasserstein Gradient Flows over Networks [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_04.pdf
5 Model Reference Adaptive Control for Online Policy Adaptation and Network Synchronization
Machine Learning Extended Abstract Oral
Miguel F. Arevalo-Castiblanco; César A. Uribe; Eduardo Mojica-Nava


Arevalo-Castiblanco, M. F. et al., (2021). Model Reference Adaptive Control for Online Policy Adaptation and Network Synchronization [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_05.pdf
6 A multiple strategy for plant species identification using images of leaf texture
Applications Extended Abstract Oral
Igor Luidji Turra; Sérgio Francisco da Silva; Douglas Farias Cordeiro; Núbia Rosa da Silva


Rosa da Silva, N. et al., (2021). A multiple strategy for plant species identification using images of leaf texture [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_06.pdf
7 Computation of Discrete Flows Over Networks via Constrained Wasserstein Barycenters
Applications Extended Abstract Oral
Ferran Arqué; César A. Uribe; Carlos Ocampo-Martinez


Arqué, F. et al., (2021). Computation of Discrete Flows Over Networks via Constrained Wasserstein Barycenters [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_07.pdf
12 Mask-net, Detection of Correct Use of Masks Through Computer Vision
Applications Extended Abstract Oral
Alexander Kalen Targa; Alberto Landi Cortiñas; Nicolas Araque Volk; Alejandro Marcano Van Grieken


Kalen Targa, A. et al., (2021). Mask-net, Detection of Correct Use of Masks Through Computer Vision [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_12.pdf
13 Ceramic Cracks Segmentation with Deep Learning
Deep Learning Extended Abstract Oral
Gerivan Junior; Janderson Ferreira; Cristian Millán-Aria; Ramiro Daniel; Alberto Casado Junior; Bruno J. T. Fernandes


Junior, G. et al., (2021). Ceramic Cracks Segmentation with Deep Learning [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_13.pdf
15 Sparse Data Generation for Particle-Based Simulation of Hadronic Jets in the LHC
Deep Learning Extended Abstract Oral
Breno Orzari; Thiago R. F. P. Tomei; Maurizio Pierini; Mary Touranakou; Javier Duarte; Raghav Kansal; Jean-Roch Vlimant; Dimitrios Gunopulos


Orzari, B. et al., (2021). Sparse Data Generation for Particle-Based Simulation of Hadronic Jets in the LHC [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_15.pdf
16 Community pooling, LDA topic modeling in Twitter
Applications Extended Abstract Oral
Federico Albanese; Esteban Feuerstein


Albanese, F. et al., (2021). Community pooling, LDA topic modeling in Twitter [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_16.pdf
19 Image Inpainting Applied to Art Completing Escher’s Print Gallery
Deep Learning Extended Abstract Oral
Lucia Cipolina-Kun; Simone Caenazzo; Gaston Mazzei; Aditya Srinivas Menon


Cipolina-Kun, L. et al., (2021). Image Inpainting Applied to Art Completing Escher’s Print Gallery [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_19.pdf
20 Effects of personality traits in predicting grade retention of Brazilian students
Applications Extended Abstract Oral
Carmen Melo Toledo; Guilherme Mendes Bassedon; Jonathan Batista Ferreira; Lucka de Godoy Gianvechio; Carlos Guatimosim Felipe Maia Polo; Renato Vicente


De Godoy Gianvechio, L. et al., (2021). Effects of personality traits in predicting grade retention of Brazilian students [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_20.pdf
21 Computation-Aware Distributed Optimization over Networks: A Hybrid Dynamical Systems Approach
Optimization Extended Abstract Oral
Daniel E Ochoa; Jorge I. Poveda; Cesar Uribe


Ochoa, D. E. et al., (2021). Computation-Aware Distributed Optimization over Networks: A Hybrid Dynamical Systems Approach [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_21.pdf
22 Long Short-Term Memory with Slower Information Decay
Applications Extended Abstract Oral
Hsiang-Yun Chien; Javier S Turek; Nicole M Beckage; Vy Vo; Christopher Honey; Theodore L Willke


Turek, J. S. et al., (2021). Long Short-Term Memory with Slower Information Decay [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_22.pdf
26 Towards Explainable Deep Reinforcement Learning for Traffic Signal Control
Deep Learning Extended Abstract Oral
Lincoln V. Schreiber; Gabriel de O. Ramos; Ana L. C. Bazzan


Schreiber, L. V. et al., (2021). Towards Explainable Deep Reinforcement Learning for Traffic Signal Control [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_26.pdf
27 Anticipating faults by predicting non-linearity of environment variables with neural networks, a case study in semiconductor manufacturing
Applications Extended Abstract Oral
Mateus Begnini Melchiades; Lincoln Vinicius Schreiber; Gabriel de Oliveira Ramos; Cesar David Paredes Crovato; Rodrigo Ivan Goytia Mejia; Rodrigo da Rosa Righi;


Begnini Melchiader, M. et al., (2021). Anticipating faults by predicting non-linearity of environment variables with neural networks, a case study in semiconductor manufacturing [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_27.pdf
28 Aspect-based Sentiment Analysis using BERT with Disentangled Attention
Deep Learning Extended Abstract Oral
Emanuel H. Silva; Ricardo M. Marcacini


Marcacini, R. M. et al., (2021). Aspect-based Sentiment Analysis using BERT with Disentangled Attention [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_28.pdf
29 Spatial Attention Adapted to a LSTM Architecture with Frame Selection for Human Action Recognition in Videos
Deep Learning Extended Abstract Oral
Carlos Ismael Orozco; Marı́a Elena Buemi; Julio Jacobo Berlles


Orozco, C. I. et al., (2021). Spatial Attention Adapted to a LSTM Architecture with Frame Selection for Human Action Recognition in Videos [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_29.pdf
30 Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection
Machine Learning Extended Abstract Oral
Lucas Nunes Alegre; Ana Bazzan; Bruno C. da Silva


Nunes Alegre, L. et al., (2021). Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_30.pdf
32 Convolutional Neural Networks Evaluation for COVID-19 Classification on Chest Radiographs
Applications Extended Abstract Oral
Felipe André Zeiser; Cristiano André da Costa; Gabriel de Oliveira Ramos


Zeiser, F. A. et al., (2021). Convolutional Neural Networks Evaluation for COVID-19 Classification on Chest Radiographs [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_32.pdf
33 Vehicle-counting with Automatic Region-of-Interest and Driving-Trajectory detection
Applications Extended Abstract Oral
Malolan Vasu; Nelson Abreu; Raysa Vásquez; Christian López


López, C. et al., (2021). Vehicle-counting with Automatic Region-of-Interest and Driving-Trajectory detection [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_33.pdf
34 OCDE: Odds Conditional Density Estimator
Learning Theory Extended Abstract Oral
Alex A Okuno; Felipe Maia Polo


Maia Polo, F. et al., (2021). OCDE: Odds Conditional Density Estimator [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_34.pdf
35 Generalized linear tree, a flexible algorithm for predicting continuous variables
Machine Learning Extended Abstract Oral
Alberto Rodrigues Ferreira; Alex Akira Okuno


Okuno, A. A. et al., (2021). Generalized linear tree, a flexible algorithm for predicting continuous variables [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_35.pdf
36 Deep Neural Network Uncertainty Estimation with Stochastic Inputs for Robust Aerial Navigation Policies
Deep Learning Extended Abstract Oral
Fabio Arnez; Huascar Espinoza; Ansgar Radermacher; François Terrier


Arnez, F. et al., (2021). Deep Neural Network Uncertainty Estimation with Stochastic Inputs for Robust Aerial Navigation Policies [Oral Presentation]. International Conference on Machine Learning Conference: LatinX in AI (LXAI) Research Workshop 2021, Virtual. https://research.latinxinai.org/papers/icml/2021/pdf/paper_36.pdf
-->

Back to top

This publication site is an open sourced project maintained by LatinX in AI (LXAI).

To add or suggest edits to this site, visit our Github repository.

© LatinX in AI (LXAI) Org