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Speakers

An improved feature extractor for the LiDAR Odometry and Mapping algorithm

Clayder A. Gonzalez

Universidad de Chile

SafePredict: A Machine Learning Meta-Algorithm That Uses Refusals to Guarantee Correctness

David Ramirez

Princeton University

Semi-supervised Learning using Deep Generative Models and Metric Embedding Auxiliary Task

Jhosimar Arias Figueroa

ML/DL Meetup AQP

Classification of atrial electrograms in atrial fibrillation using Information Theory-based measures

Jonathan Nicolet

Universidad Nacional de Entre Rios

Learning Attention Maps for Unsupervised Depth Estimation in Monocular Videos

Julio Cesar Mendoza Bobadilla

University of Campinas

AI for Agriculture: Estimate Vigor on California Vineyards for Precision Agriculture

Maria Pantoja

CalPoly San Luis Obispo

Learning with small data

Omar U. Florez

Capital One

Towards Disentangled Representations via Variational Sparse Coding

Robert A. Aduviri

Pontifical Catholic University of Peru

High-level Features for Multimodal Deception Detection in Videos

Rodrigo Rill-Garcia

National Institute of Astrophysics, Optics and Electronics

Multivariate Time Series Visualization for Sleep Electroencephalograms

Rosa Yuliana Gabriela Paccotacya Yanque

Universidad Nacional de San Agustin de Arequipa

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