Presentaciones - 10 de Enero

Tutorial 1: Foundations of Deep Learning

Julio Cesar Mendoza Bobadilla, Universidade Estadual de Campinas, Brasil

Live Presentation: https://bit.ly/2su7yQ4

Foundations of Deep Learning.pdf

Tutorial 2: Introduction to Convolutional Neural Networks

William Condori Quispe, Universidad Nacional de San Agustin, Peru

Live Presentation: https://bit.ly/2RL061s

Convolutional Neural Networks.pdf

Tutorial 3: Foundations of Unsupervised Deep Learning

Jhosimar George Arias Figueroa, Universidade Estadual de Campinas, Brasil

Live Presentation: https://bit.ly/2QK7BBj

Foundations of Unsupervised Deep Learning.pdf

Tutorial 4: Deep Learning for Natural Language Processing

Cesar Marchelo Bragagnini Mendizabal, Universidad Católica San Pablo, Perú

Live Presentation: https://bit.ly/2FrQO4M

Deep Learning for Natural Language Processing.pdf

Tutorial 5: Deep Learning for Object Detection

Elian Laura Riveros, Universidad Nacional de San Agustín, Perú

Live Presentation: https://bit.ly/2sqDg0E

Object Detection with Deep Learning.pdf

Tutorial 6: Deep Reinforcement Learning

Wilber Santos, Universidad Católica San Pablo, Perú

Live Presentation: https://bit.ly/2AJtxaw

Presentaciones - 11 de Enero

Recognition and Tracking of Vehicles in Highways using Deep Learning

Ludwin Lope Cala, Universidade de São Paulo, Brasil

Live Presentation: https://youtu.be/m1zB4-7TDA0

Recognition and Tracking of Vehicles in Highways using Deep Learning.pdf

A convolutional recurrent neural network architecture for motor imagery classification

Paul Augusto Bustios Belizario, Universidade de São Paulo, Brasil

Live Presentation: https://youtu.be/11AIkOZ0iZ0

A convolutional recurrent neural network architecture for motor imagery classification.pdf

Is Simple Better?: Revisiting Simple Deep Generative Models for Unsupervised Clustering

Jhosimar George Arias Figueroa, Universidade Estadual de Campinas, Brasil

Live Presentation: https://bit.ly/2TP8vy6

Is Simple Better?: Revisiting Deep Generative Models for Unsupervised Clustering.pdf

Stochastic Model Based on Echo State Network ESN for time series forecasting

Edson Luque, Universidade de São Paulo, Brasil

Live Presentation: https://bit.ly/2RMw1i5

Stochastic Model Based on Echo State Network ESN for time series forecasting.pdf

A Generative Approach for Data Augmentation in Natural Language Processing Tasks

Gerson Vizcarra Aguilar, Universidad Católica San Pablo, Perú

Live Presentation: https://bit.ly/2RTvRFO

A generative approach for data augmentation in Natural Language Processing tasks.pdf

Handling User-Level Signals in Hierarchical Recurrent Neural Networks for Session-Based Recommendation

Gustavo Junior Escobedo Ticona, Universidade de São Paulo, Brasil

Live Presentation: https://bit.ly/2HfP4gz

HandlingUserLevelSignalsForSessionBasedRS.pdf

Characterization of climatological time series using autoencoders

Reynaldo Alfonte Zapana, Universidad Nacional de San Agustin, Perú

Live Presentation: https://bit.ly/2Hca9bN

Characterization of Climatological Time Series using Autoencoders.pdf

Presentaciones - 12 de Enero

Segmentación semántica

Pablo Alejandro Fonseca Arroyo, Université de Montréal, Canadá

Live Presentation: https://bit.ly/2VVK7N9

segmentacion_semantica.pdf

Monitoreo y vigilancia en aparcamientos usando Computer Vision y Deep Learning

Felipe Adrian Moreno Vera, Universidad Católica San Pablo, Perú

Live Presentation: https://bit.ly/2AOeCM7

Monitoring and surveillance in car parks.pdf

3D Medical Image Segmentation using Convolutional Neural Networks

Alejandra Marquez Herrera, Universidad Católica San Pablo, Perú

Live Presentation: https://bit.ly/2ssPBli

3D Medical Image Semantic Segmentation using CNN - Alejandra Marquez.pdf

Multi-Stream Convolutional Neural Networks for Action Recognition in Video Sequences Based on Adaptive Visual Rhythms

Darwin Ttito Concha, Universidade Estadual de Campinas, Brasil

Live Presentation: https://bit.ly/2CpZYdR

action_recognition.pdf

Non-rigid 3D Shape Classification based on Convolutional Neural Networks

Cristian López Del Alamo, Universidad la Salle, Perú

Live Presentation: https://bit.ly/2AJyBM0

Non-rigid 3D Shape Classification based on Convolutional Neural Networks.pdf

Hand Segmentation using U-Net

Cristian Lazo Quispe, Universidad Nacional de Ingeniería, Perú

Live Presentation: https://bit.ly/2RuYHws

Deep Reinforcement Learning En Vehículos Autónomos Para Mantenerse En Un Circuito Con Obstáculos Dinámicos

Diego David Charrez Ticona, Universidad Nacional de San Agustín, Perú

Live Presentation: https://bit.ly/2srexJB

DRL_Duckietown.pdf