Presentaciones - 10 de Enero
Presentaciones - 10 de Enero
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Tutorial 1: Foundations of Deep Learning
Tutorial 1: Foundations of Deep Learning
Julio Cesar Mendoza Bobadilla, Universidade Estadual de Campinas, Brasil
Julio Cesar Mendoza Bobadilla, Universidade Estadual de Campinas, Brasil
Live Presentation: https://bit.ly/2su7yQ4
Live Presentation: https://bit.ly/2su7yQ4
Foundations of Deep Learning.pdfTutorial 2: Introduction to Convolutional Neural Networks
Tutorial 2: Introduction to Convolutional Neural Networks
William Condori Quispe, Universidad Nacional de San Agustin, Peru
William Condori Quispe, Universidad Nacional de San Agustin, Peru
Live Presentation: https://bit.ly/2RL061s
Live Presentation: https://bit.ly/2RL061s
Convolutional Neural Networks.pdfTutorial 3: Foundations of Unsupervised Deep Learning
Tutorial 3: Foundations of Unsupervised Deep Learning
Jhosimar George Arias Figueroa, Universidade Estadual de Campinas, Brasil
Jhosimar George Arias Figueroa, Universidade Estadual de Campinas, Brasil
Live Presentation: https://bit.ly/2QK7BBj
Live Presentation: https://bit.ly/2QK7BBj
Foundations of Unsupervised Deep Learning.pdfTutorial 4: Deep Learning for Natural Language Processing
Tutorial 4: Deep Learning for Natural Language Processing
Cesar Marchelo Bragagnini Mendizabal, Universidad Católica San Pablo, Perú
Cesar Marchelo Bragagnini Mendizabal, Universidad Católica San Pablo, Perú
Live Presentation: https://bit.ly/2FrQO4M
Live Presentation: https://bit.ly/2FrQO4M
Deep Learning for Natural Language Processing.pdfTutorial 5: Deep Learning for Object Detection
Tutorial 5: Deep Learning for Object Detection
Elian Laura Riveros, Universidad Nacional de San Agustín, Perú
Elian Laura Riveros, Universidad Nacional de San Agustín, Perú
Live Presentation: https://bit.ly/2sqDg0E
Live Presentation: https://bit.ly/2sqDg0E
Object Detection with Deep Learning.pdfTutorial 6: Deep Reinforcement Learning
Tutorial 6: Deep Reinforcement Learning
Wilber Santos, Universidad Católica San Pablo, Perú
Wilber Santos, Universidad Católica San Pablo, Perú
Live Presentation: https://bit.ly/2AJtxaw
Live Presentation: https://bit.ly/2AJtxaw
Presentaciones - 11 de Enero
Presentaciones - 11 de Enero
Recognition and Tracking of Vehicles in Highways using Deep Learning
Recognition and Tracking of Vehicles in Highways using Deep Learning
Ludwin Lope Cala, Universidade de São Paulo, Brasil
Ludwin Lope Cala, Universidade de São Paulo, Brasil
Live Presentation: https://youtu.be/m1zB4-7TDA0
Live Presentation: https://youtu.be/m1zB4-7TDA0
Recognition and Tracking of Vehicles in Highways using Deep Learning.pdfA convolutional recurrent neural network architecture for motor imagery classification
A convolutional recurrent neural network architecture for motor imagery classification
Paul Augusto Bustios Belizario, Universidade de São Paulo, Brasil
Paul Augusto Bustios Belizario, Universidade de São Paulo, Brasil
Live Presentation: https://youtu.be/11AIkOZ0iZ0
Live Presentation: https://youtu.be/11AIkOZ0iZ0
A convolutional recurrent neural network architecture for motor imagery classification.pdfIs Simple Better?: Revisiting Simple Deep Generative Models for Unsupervised Clustering
Is Simple Better?: Revisiting Simple Deep Generative Models for Unsupervised Clustering
Jhosimar George Arias Figueroa, Universidade Estadual de Campinas, Brasil
Jhosimar George Arias Figueroa, Universidade Estadual de Campinas, Brasil
Live Presentation: https://bit.ly/2TP8vy6
Live Presentation: https://bit.ly/2TP8vy6
Is Simple Better?: Revisiting Deep Generative Models for Unsupervised Clustering.pdfStochastic Model Based on Echo State Network ESN for time series forecasting
Stochastic Model Based on Echo State Network ESN for time series forecasting
Edson Luque, Universidade de São Paulo, Brasil
Edson Luque, Universidade de São Paulo, Brasil
Live Presentation: https://bit.ly/2RMw1i5
Live Presentation: https://bit.ly/2RMw1i5
Stochastic Model Based on Echo State Network
ESN for time series forecasting.pdfA Generative Approach for Data Augmentation in Natural Language Processing Tasks
A Generative Approach for Data Augmentation in Natural Language Processing Tasks
Gerson Vizcarra Aguilar, Universidad Católica San Pablo, Perú
Gerson Vizcarra Aguilar, Universidad Católica San Pablo, Perú
Live Presentation: https://bit.ly/2RTvRFO
Live Presentation: https://bit.ly/2RTvRFO
A generative approach for data augmentation in Natural Language Processing tasks.pdfHandling User-Level Signals in Hierarchical Recurrent Neural Networks for Session-Based Recommendation
Handling User-Level Signals in Hierarchical Recurrent Neural Networks for Session-Based Recommendation
Gustavo Junior Escobedo Ticona, Universidade de São Paulo, Brasil
Gustavo Junior Escobedo Ticona, Universidade de São Paulo, Brasil
Live Presentation: https://bit.ly/2HfP4gz
Live Presentation: https://bit.ly/2HfP4gz
HandlingUserLevelSignalsForSessionBasedRS.pdfCharacterization of climatological time series using autoencoders
Characterization of climatological time series using autoencoders
Reynaldo Alfonte Zapana, Universidad Nacional de San Agustin, Perú
Reynaldo Alfonte Zapana, Universidad Nacional de San Agustin, Perú
Live Presentation: https://bit.ly/2Hca9bN
Live Presentation: https://bit.ly/2Hca9bN
Characterization of Climatological Time Series using Autoencoders.pdfPresentaciones - 12 de Enero
Presentaciones - 12 de Enero
Segmentación semántica
Segmentación semántica
Pablo Alejandro Fonseca Arroyo, Université de Montréal, Canadá
Pablo Alejandro Fonseca Arroyo, Université de Montréal, Canadá
Live Presentation: https://bit.ly/2VVK7N9
Live Presentation: https://bit.ly/2VVK7N9
segmentacion_semantica.pdfMonitoreo y vigilancia en aparcamientos usando Computer Vision y Deep Learning
Monitoreo y vigilancia en aparcamientos usando Computer Vision y Deep Learning
Felipe Adrian Moreno Vera, Universidad Católica San Pablo, Perú
Felipe Adrian Moreno Vera, Universidad Católica San Pablo, Perú
Live Presentation: https://bit.ly/2AOeCM7
Live Presentation: https://bit.ly/2AOeCM7
Monitoring and surveillance in car parks.pdf3D Medical Image Segmentation using Convolutional Neural Networks
3D Medical Image Segmentation using Convolutional Neural Networks
Alejandra Marquez Herrera, Universidad Católica San Pablo, Perú
Alejandra Marquez Herrera, Universidad Católica San Pablo, Perú
Live Presentation: https://bit.ly/2ssPBli
Live Presentation: https://bit.ly/2ssPBli
3D Medical Image Semantic Segmentation using CNN - Alejandra Marquez.pdfMulti-Stream Convolutional Neural Networks for Action Recognition in Video Sequences Based on Adaptive Visual Rhythms
Multi-Stream Convolutional Neural Networks for Action Recognition in Video Sequences Based on Adaptive Visual Rhythms
Darwin Ttito Concha, Universidade Estadual de Campinas, Brasil
Darwin Ttito Concha, Universidade Estadual de Campinas, Brasil
Live Presentation: https://bit.ly/2CpZYdR
Live Presentation: https://bit.ly/2CpZYdR
action_recognition.pdfNon-rigid 3D Shape Classification based on Convolutional Neural Networks
Non-rigid 3D Shape Classification based on Convolutional Neural Networks
Cristian López Del Alamo, Universidad la Salle, Perú
Cristian López Del Alamo, Universidad la Salle, Perú
Live Presentation: https://bit.ly/2AJyBM0
Live Presentation: https://bit.ly/2AJyBM0
Non-rigid 3D Shape Classification based on Convolutional Neural Networks.pdfHand Segmentation using U-Net
Hand Segmentation using U-Net
Cristian Lazo Quispe, Universidad Nacional de Ingeniería, Perú
Cristian Lazo Quispe, Universidad Nacional de Ingeniería, Perú
Live Presentation: https://bit.ly/2RuYHws
Live Presentation: https://bit.ly/2RuYHws
Deep Reinforcement Learning En Vehículos Autónomos Para Mantenerse En Un Circuito Con Obstáculos Dinámicos
Deep Reinforcement Learning En Vehículos Autónomos Para Mantenerse En Un Circuito Con Obstáculos Dinámicos
Diego David Charrez Ticona, Universidad Nacional de San Agustín, Perú
Diego David Charrez Ticona, Universidad Nacional de San Agustín, Perú
Live Presentation: https://bit.ly/2srexJB
Live Presentation: https://bit.ly/2srexJB
DRL_Duckietown.pdfGoogle Sites
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