INESC TEC
INESC TEC
INESC TEC
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Paulo Jorge Azevedo

Paulo Jorge Azevedo

Senior Researcher

I am a Lecturer at the Department of Informatics at the University of Minho. I am also a researcher at HASLab/INESC TEC. My research interest focus mainly on machine learning and data mining. Occasionally, I participate in Bioinformatics research projects involving analysis of molecular dynamic simulations of protein folding/unfolding.

 I hold a PhD in Computing from Imperial College (University of London) where I did research in logic programming. I have been working on the development of association rules mining algorithms and novel patterns to capture distribution learning. I also have interest in social network analysis, graph mining, subgroup mining and motif discovery in time series.

Publications

Spatial Clustering of Molecular Dynamics Trajectories in Protein Unfolding Simulations

Ferreira, PG;Silva, CG;Azevedo, PJ;Brito, RMM;

2009

COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS

Rules for contrast sets

Azevedo, PJ;

2010

INTELLIGENT DATA ANALYSIS

Evaluating deterministic motif significance measures in protein databases

Ferreira, PG;Azevedo, PJ;

2007

ALGORITHMS FOR MOLECULAR BIOLOGY

Deterministic motif mining in protein databases

Ferreira, PG;Azevedo, PJ;

2007

Successes and New Directions in Data Mining

View all publications

Supervised Theses

Active Learning and Intelligent Queues

Miguel Lobo Pinto Leite

M - 2019

UM-EEUM

Active Learning for fraud Detection

Miguel Lobo Pinto Leite

M - 2020

UM-EEUM

Interpretabilidade em Aprendizagem Máquina num Contexto de Modelos de Regressão Caixa Negra

João Pedro Torres Pimentel

M - 2021

UM-EEUM

Formalization of Deep Learning Techniques with the Why3 Proof Platform

Márcio Alexandre Mota Sousa

M - 2022

UM-EEUM

See more supervised theses

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