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Software-based computing platform as an experimental topology assembled to detect and mitigate DDoS attacks using virtual environments.

, , , and . SPECTS, page 1-8. IEEE, (2016)

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Neuron detection in stack images: a persistent homology interpretation., , , , and . CoRR, (2015)Software-based computing platform as an experimental topology assembled to detect and mitigate DDoS attacks using virtual environments., , , and . SPECTS, page 1-8. IEEE, (2016)Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning., , , , , , , and . Neuroinformatics, 17 (2): 253-269 (2019)The Experience of Designing and Developing an edX's MicroMasters Program to Develop or Reinforce the Digital Competence on Teachers., , , , and . LWMOOCS, page 34-38. IEEE, (2018)SynapCountJ: A Validated Tool for Analyzing Synaptic Densities in Neurons., , , , , and . BIOSTEC (Selected Papers), volume 690 of Communications in Computer and Information Science, page 41-55. Springer, (2016)SynapCountJ: A Tool for Analyzing Synaptic Densities in Neurons., , , , and . BIOIMAGING, page 25-31. SciTePress, (2016)Procesamiento topo-geométrico de imágenes neuronales., , , , and . CoRR, (2014)Automatic detection of neurons in high-content microscope images using machine learning approaches., , , , , and . ISBI, page 330-333. IEEE, (2016)Zigzag persistent homology for processing neuronal images., , , and . Pattern Recognition Letters, (2015)SynapCountJ - a Tool for Analyzing Synaptic Densities in Neurons., , , , and . CoRR, (2015)