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Posters

  • Aaron J. Alvero, Stanford University Graduate School of Education: Unsupervised Text Analysis in Applied Settings: A Case Study in Education
  • Abel Torres Montoya, Dataveras: Toward General Intelligence: The Role of Inhibition and Iteration
  • Alejandra Marquez Herrera, Universidad Catolica San Pablo: Improving Semantic Segmentation of 3D Medical Images on 3D Convolutional Neural Networks
  • Alexander A. Ocsa, BlazingDB: SQL for GPU Data Frames in RAPIDS AI: Accelerating end-to-end data science workflows using GPUs
  • Ana Rocio Cardenas Maita, National University of Saint Anthony the Abbot in Cuzco: A study of the application of computational intelligence and machine learning techniques in business process mining
  • CJ Barberan, Rice University: Transfer Learning Using Digital Colposcopy and Microendoscopy Images Collected in Rural Brazil
  • Christian U. Carmona, University of Oxford: Learning of Weighted Dynamic Multi-layer Networks via Latent Gaussian Processes
  • Dennis H. Nunez Fernandez, National University of Engineering: Hand Posture Recognition Using Convolutional Neural Network
  • Débora Lina Nascimento Ciriaco Pereira, University of Sao Paulo: Semantic Data Integration for Public Health in Brazil
  • Edson Luque, University of Sao Paulo: GAF-CNN-LSTM for Multivariate Time-Series Images Forecasting
  • Eitel J. M. Lauria, Marist College: Of Stacks and Muses: Adventures in Learning Analytics at Marist College
  • Elian Raquel Laura Riveros, Universidad Nacional de San Agustin de Arequipa: Automatic Gun Detection using Fast-RCNN on extreme illumination conditions
  • Eric K. Tokuda, University of Sao Paulo: Usage of street-level imagery for city-wide graffiti mapping
  • Felipe A. Moreno-Vera, Universidad Catolica San Pablo: Performing Deep Recurrent Double Q-Learning for Atari Games
  • Flabio Gutierrez, Universidad Nacional de Piura: Modeling and Prediction of El Niño in Piura Using Artifical Neural Networks
  • Gladys Marleny Hilasaca, Dalhousie University: User-guided Dimensionality Reduction Ensembles
  • Hans Harley Bejar Ccacyahuillca, University of Sao Paulo: Relative Fuzzy Connectedness on Directed Graphs and its Application in a Hybrid Method for Interactive Image Segmentation
  • Hiram Ponce, Universidad Panamericana: Challenges and Issues on Artificial Hydrocarbon Networks: The Chemical Nature of Data-Driven Approaches
  • Jadisha Yarif Ramirez Cornejo, University of Campinas: Recognition of Genetic Disorders Based on Deep Features and Geometric Representation
  • Jeffri Murrugarra Llerena, National University of Trujillo: A classic approach to detect potato diseases
  • Johan Samir Obando Ceron, Universidad Autonoma de Occidente: Probabilistic Perception System for Object Classification Based on Camera - LiDAR Sensor Fusion
  • Johnny Torres, ESPOL University: Deep Reinforcement Learning for Predicting Interest on Crisis-Related Twitter Conversations
  • Jorge G. Madrid, National Institute of Astrophysics, Optics and Electronics: Meta-learning of textual representations
  • Jorge Luis Guevara Diaz, IBM Research: An interpretable machine learning methodology for well data integration and sweet spotting identification
  • Jose Lugo-Martinez, Carnegie Mellon University: Classification in biological networks with hypergraphlet kernels
  • Jose Lugo-Martinez, Carnegie Mellon University: Dynamic interaction network inference from longitudinal microbiome data
  • Joseph H. Murrugarra LLerena, University of Sao Paulo: Understanding galaxy classification with deep learning
  • Julissa G. Villanueva Llerena, University of Sao Paulo: Global Sensitivity Analysis of MAP inference in Selective Sum-Product Networks
  • Karol Baca-Lopez, Autonomous University of the State of Mexico: Spatio-temporal air pollution modelling to predict environmental risk areas in Mexico City
  • Leissi Margarita M. Castaneda Leon, University of Sao Paulo: Extensions of a Hierarchical Graph Approach in Multi-Region Segmentation
  • Lino A. Rodriguez Coayahuitl, National Institute of Astrophysics, Optics and Electronics: Deep Genetic Programming
  • Lucy Alsina Choque Mansilla, University of Sao Paulo: Object Segmentation by Oriented Image Foresting Transform with Connectivity Constraints
  • Miguel Alonso Jr., Florida International University: Work in Progress - Y-GAN: A Generative Adverserial Network for Depthmap Estimation from Multi-camera Stereo Images
  • Nils Murrugarra-Llerena, University of Pittsburgh: Asking Friendly Strangers: Non-Semantic Attribute Transfer
  • Pablo Moriano, Indiana University: Community-based anomalous event detection in temporal networks
  • Pablo Rivas, Marist College: ML-Based Feature Importance Estimation for Predicting Unethical Behaviour under Pressure
  • Pedro Shiguihara, Universidad Peruana de Ciencias Aplicadas: POS-tags features for Protein-Protein Interaction Extraction from Biomedical Articles
  • Ramiro Casal, Universidad Nacional de Entre Rios: Sleep/wake classification with pulse oximeter signals using recurrent neural networks
  • Renato A. Castro, National University of Engineering: Anti Spoofing Face Detection Technique based on Transfer Learning Convolutional Neural Networks and Real-Time Facial Landmark Detection
  • Waldyn G. Martinez, Miami University: Ensemble Pruning via Margin Maximization
  • Wilbert Pumacay, Catholic University San Pablo: Loco: A locomotion framework for DeepRL research