Notebooks Python da parte prática da disciplina "CIC0193 - Fundamentos de Sistemas Inteligentes" do Departamento de Ciência da Computação da Universidade de Brasília.
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Updated
May 28, 2024 - Jupyter Notebook
Notebooks Python da parte prática da disciplina "CIC0193 - Fundamentos de Sistemas Inteligentes" do Departamento de Ciência da Computação da Universidade de Brasília.
Introduction to KDD and data preprocessing / Introdução ao KDD e pré-processamento de dados
[NeurIPS 2023, KDD MLG 2023] Repo that contains code for the paper titled: "FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations".
KDD Pipeline for DDoS Connections Data Classification
Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
DevOps pipeline for Real Time Social/Web Mining
ROhAN: Row-Order Agnostic Null Models for Statistically-sound Knowledge Discovery
Personal website/blog
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23
IDS using an Artificial Neural Network.
Uso de Machine Learning para Predição de Volumes em Mananciais
Density-Based Clustering Validation
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
[KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective without adversarial or source data.
SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
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