Coder Social home page Coder Social logo

Hi there 👋

My name is Luis. I'm an academic in the Machine Learning area with a focus on Natural Language Processing and Graph AI techniques. I'm currently a PhD student in Computer Science at Cin-UFPE.

I have experience in Data Analysis and machine learning. Having earned a master's degree in computational inteligence has provide me a solid background in machine learning and statistical analysis.

  • I’m currently working on text mining and NLP tasks using supervised and unsupervised machine learning techniques
  • My current interests of research:
    • Text summarization
    • Text classification
    • Clustering Analysis on textual data
    • Anomaly Detection
    • Graph Neural Networks
    • Graph Representation Learning
  • I’m interested to collaborate on academic projects
  • How to reach me: www.linkedin.com/in/luisfredgs
  • My blog https://medium.com/luisfredgs

Luís Gonçalves's Projects

semeval2017 icon semeval2017

NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis

sg-net icon sg-net

AAAI2020: SG-Net: Syntax-guided machine reading comprehension

sgc icon sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

simcse icon simcse

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings

simplehtr icon simplehtr

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

sk-tree icon sk-tree

Code implementation for "SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel"

snns icon snns

Tutorials and implementations for "Self-normalizing networks"

sparse_attention icon sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

statannot icon statannot

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

stylomatrix icon stylomatrix

Learning Stylometric Representation for Authorship Analysis

subword_seg icon subword_seg

Code accompanying the paper Effective Subword Segmentation for Text Comprehension

sur icon sur

Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"

tacotron-2 icon tacotron-2

DeepMind's Tacotron-2 Tensorflow implementation

text_gcn icon text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

tmc icon tmc

The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.