Name: Anselmo Ferreira
Type: User
Company: University of Siena
Bio: I am a Ph.D. in Computer Science and I research and develop general Machine Learning Solutions to solve diverse problems.
Location: Siena, Tuscany, Italy
Blog: www.ic.unicamp.br/~anselmoferreira
Anselmo Ferreira's Projects
Source code related to the paper "Behavior Knowledge Space-Based Fusion for Copy-Move Forgery Detection"
test_claimed
This is the source code related to the paper 'Going deeper into copy-move forgery detection: exploring image telltales via multi-scale analysis and voting processes'
Source code related to the paper "Data-Driven Feature Characterization Techniques for Laser Printer Attribution"
Code related to the paper "Multi-DQN: An Ensemble of Deep Q-Learning Agents for Stock Market Forecasting." where an ensemble of deep reinforcement learning agents are proposed to do stock market forecasting.
A keras implementation of DenseNet
A package built to support working with spatial data using open source python
Implementation of "Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations"
Yeah, right. FORK ME!!! Once you fork me, I help you learn forking.
Source code related to the paper "Convolutional Neural Network approaches to granite tiles classification"
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
Keras community contributions
Residual networks implementation using Keras-1.0 functional API
Repo containing all my relevant machine learning code.
This is the matlab source code of the paper 'A Multiscale and Blind Forensic Technique for Median Detecting'.
Models built with TensorFlow
Source code related to the approach presented on the paper 'Laser Printer Attribution: Exploring New Features and Beyond'
webcan capiture and face detect
This is the source code related to an ensemble of convolutional neural networks for marijuana crop detection in remote sensing images.
just a test
Computation using data flow graphs for scalable machine learning
test github commands