LXAI @ ICML - Ponentes

Ponentes

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