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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

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]

train_plus_plus icon train_plus_plus

Repo and code of the IEEE UIC paper: Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices

trldc icon trldc

Transformer-based Long Document Classification

unilm icon unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

urlnet icon urlnet

Code for the paper URLNet - Learning a URL Representation with Deep Learning for Malicious URL Detection

videos_manim icon videos_manim

Source code for all the animations in my videos. Uses @3b1b's manim library

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