NEWS

  • Dec 2019: New dataset - Real-time 2019 Portuguese Parliament Election Results Dataset (Sent to UCI)
  • Jul 2019: Accepted paper! "Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting" at the IEEE Data Science and Advanced Analytics (DSAA'2019) Conference (Washington DC, USA).
  • Jun 2019: New publication - "A review on web content popularity prediction: Issues and open challenges" at the Online Social Networks and Media Journal (Elsevier).
  • Apr 2019: Co-organized a bilateral workshop between INESC TEC and the Data Science Institute @ Imperial College
  • Apr 2019: Gave a talk at the Horta Lan Party (Faial, Azores) -> "Machine Learning is gullible, insecure and inefficient"
  • Apr 2019: Co-organized the Hackacity Porto 2019, a hackathon for data scientists and data enthusiasts with data provided by the municipality.
  • Mar 2019: Seminar on Imbalanced Domain Learning for the Master in Data Science @ FCUP.
  • Mar 2019: Gave a talk at the Department of Computer Science (FCUP) -> "Machine Learning is gullible, insecure and inefficient"
  • Dec 2018: Gave a talk at Data Science Portugal -> "Machine Learning is gullible, insecure and inefficient"
  • Nov 2018: Co-coordinating the newly created Data Science Hub (DSHub) at INESC TEC.
  • Oct 2018: Now supervising 5 students at FCUP on topics of imbalanced domain learning and time series forecasting.
  • Oct 2018: Two new R packages! ReBoost with boosting methods for regression, along with SMOTEBoost variants; and rewind, with resampling strategies for imbalanced time series forecasting
  • Oct 2018: Presented the paper "SMOTEBoost for Regression: Improving the Prediction of Extreme Values" in DSAA 2018. Slides are available
  • Sep 2018: LIDTA'2018 @ ECML/PKDD was a success! Packed room all day! All the slides are available here

RESEARCH

Machine Learning

Imbalanced Domain Learning
Cost-Sensitive Learning
Time Series Forecasting
Spatio-Temporal Forecasting
Sentiment Analysis

Information Retrieval

Recommender Systems
Predictive Analytics

Regression

Extreme Values Prediction
Outlier Detection & Ranking
Utility-based Regression

Open Data

Linked Open Data
Open Government

Networks Analysis

Social Network Analysis
Large-Scale Networks

PUBLICATIONS

ResearchGate | Google Scholar | DBLP | Scopus

Edition of Books

Journals

International Conferences (peer-review)

Other Publications

Thesis

Software

  • ReBoost (2018). An R Package with Boosting and SMOTEBoost implementations for Regression Tasks
    Nuno Moniz, Vítor Cerqueira, Rita P. Ribeiro, Nitesh Chawla
  • rewind (2018). An R Package with Biased Resampling Strategies for Time Series
    Nuno Moniz, Paula Branco, Luís Torgo

Teaching

  • Design and Analysis of Algorithms, L:CC MI:ERS, Sciences College - University of Porto (2019)
  • Fraud Detection, MSI, Sciences College - University of Porto (2018-2020)
  • Computer Programming, MIM, Sciences College - University of Porto (2018-2020)
  • Computer Architectures, L:CC MI:ERS, Sciences College - University of Porto (2018)
  • Human-Computer Interaction, L:CC, Sciences College - University of Porto (2017)

Organisation

  • LIDTA 2018 2nd International Workshop on Learning with Imbalanced Domains: Theory and Applications @ ECML/PKDD 2018 (Organisation Committee)
  • EAIA 2018 Advanced School on Data Science for Big Data (Local Committee)
  • COST 2018 International Workshop on Cost-Sensitive Learning @ SIAM SDM 2018 (Organisation Committee)
  • LIDTA 2017 1st International Workshop on Learning with Imbalanced Domains: Theory and Applications @ ECML/PKDD 2017 (Organisation Committee)

Media Coverage

BIO

I am a PostDoc Researcher at the Laboratory of Artificial Intelligence and Decision Support (LIAAD - INESC Tec), and an Invited Professor at the Sciences College of the University of Porto (FCUP). I successfully defended my Ph.D. at FCUP in 2017, under the supervision of Professor Luís Torgo. My work was fully funded by a scholarship awarded by FCT (Portuguese Foundation for Science and Technology), and my final dissertation was awarded in the Fraunhofer Portugal Challenge 2017.

I completed my M.Sc. in Architectures, Systems and Networks at the Polytechnic Institute of Oporto (ISEP) in 2012 and was awarded a merit diploma for outstanding academic performance, with a thesis entitled "Bridging the gap between closed and open data - System proposal for the Portuguese Legislation" under the supervision of Professor Fátima Rodrigues.

In 2009, I completed my undergraduate in Computer Engineering, also at the Polytechnic Institute of Oporto, with the thesis "Estimating the Number of Nodes in Wireless Sensor Networks" under the supervision of Professor Björn Andersson. During the last months of this work, I received a Research Integration Scholarship from FCT and was associated to CISTER (Research Centre in Real-Time Computing Systems).

Visiting Researcher @

San Jose State University (California, USA) with Prof. Magdalini Eirinaki (Oct-Dec 2015)
Brunel University (London, UK) with Prof. Alan Tucker (Jul 2015)