Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
talks
Graph Alignment: Investigating ConceptNets Alignment for Machine Translation
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Poster presenting initial investigation about ConceptNets alignment for machine translation in the Scientific Initiation Workshop in Information and Human Language Technology (TILic), constituent event at the 7th Brazilian Symposium in Information and Human Language Technology (STIL) - link.
Never‐Ending Ontology Extension Through Machine Reading
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Talk presentation about the improvements and upgrades in the novel ontology extension component (nOE) for the Never-Ending Language Learner (NELL) system in Parallel Session 1B of the 14th International Conference on Hybrid Intelligent Systems (HIS 2014).
Node.js Tutorial
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Tutorial covering the whole basics of Node.js (link).
Improving galaxy morphology with machine learning
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Poster presentation about the first steps towards improving morphology classification of galaxies with machine learning in “Galaxies & Active Nuclei” Session, XLI Annual Meeting of the Brazilian Astronomical Society (2017).
Non-Parametric Galaxy Morphology and Data Mining for Separating Early from Late-Type Galaxies
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Talk presentation about the development and characteristics of CyMorph, a system to get non-parametric galaxy morphology, and, data mining for separating early from late-type galaxies in Technical Session 3 of the Applied Computing Workshop (2017).
Classifying ‘Undefined’ Galaxies from Galaxy Zoo 1 with Machine Learning Approach
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Poster presentation about morphology classification of unclassified galaxies from Galaxy Zoo 1 using Machine Learning in Technical Session 5 of the Applied Computing Workshop (2018).
Using Decision Trees to Classify the ‘‘Undefined’’ Galaxies from Galaxy Zoo 1
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Poster presentation about classifying ‘‘undefined’’ galaxies with machine learning in “Galaxies & Active Nuclei” Session, XLII Annual Meeting of the Brazilian Astronomical Society (2018).
Applying Deep Learning to Galaxy Morphology
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Oral talk about classifying galaxies by their morphologies using Deep Learning (≈ 15min) in Special Session 2 of the Conference of Computational Interdisciplinary Science (CCIS 2019).
Applying Machine Learning to Galaxy Morphology
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Oral talk presenting morphology classification of galaxies using Machine Learning (≈ 17min) in Session 4 of the New England SACNAS Regional Meeting (2019).
A comparative study between Machine and Deep Learning in Galaxy Morphology
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Lightining talk (≈ 10min) presenting an overview and comparative study of Traditional Machine Learning and Deep Learning in Galaxy Morphology, in Lightning Talks Session 2 of the Kavli Summer Program in Astrophysics (2019).
Extracting the Slime Mold Graph from the Cosmic Web
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Final talk (≈ 30min) at Kavli Summer Program in Astrophysics (2019) presenting first steps towards the graph extraction from the Cosmic Web using Slime Mold-based swarm intelligence.
Towards the graph extraction from the Cosmic Web using Slime Mold particles
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Oral talk (≈ 10min) at the Dark Universe Research Symposium about the progress made in Summer towards extracting a graph from the large-scale structure of the universe using physarum machines, in Kavli Summer Program in Astrophysics (2019).
Machine Learning Applications: from Astrophysics to Industry Videos
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Oral talk (≈ 1 hour with questions and answers) at the Applied Computing Seminar divided into two parts. The first part was about my PhD research, comparing traditional machine learning and deep learning applied to galaxy morphology. On the second part, I talked about computer vision and video analytics projects I’ve been working on at the Accenture’s Applied Intelligence division.
Machine Learning: foundations and video applications
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Two classes (about 1 hour each with questions and answers) at the Video Analytics Academy of Accenture. The first class presented: introduction on machine learning, differences between traditional machine learning and deep learning, preparing the dataset for a learning problem, and main aspects of an artificial neural network. Organized the second class to have three parts, with an overview of different video applications with deep learning, and two hands-on applications (these two workshops were presented by two colleagues).
teaching
Academic Tutor
Academic Tutor for Undergraduate Course, Federal University of the State of Sao Paulo (UNIFESP-Brazil), Science and Technology Institute, 2018
The role of a tutor is of paramount importance in this course on Algorithms and Data Structure 2. I was remotly available for the students fulltime and available in person two times a week. Also, I prepared, revised and graded theoretical and practical exercises.