NEWS

  • 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
  • Aug 2018: Proceedings of the COST'2018 workshop were published in PMLR
  • Jul 2018: Paper on SMOTEBoost for Regression accepted at IEEE DSAA 2018!
  • Jul 2018: Session Chair at ACM Hypertext and Social Media 2018
  • Jun 2018: Paper "Constructive Aggregation and its Application to Forecasting with Dynamic Ensembles" accepted at ECML/PKDD 2018
  • May 2018: Organizing the COST 2018 Workshop at SIAM SDM 2018 (San Diego, USA)
  • Apr 2018: Bid to organize the LIDTA workshop was once again accepted at ECML/PKDD 2018. This year workshop+tutorial!
  • Apr 2018: Paper "The Utility Problem of Web Content Popularity Prediction" accepted at the 29th ACM Hypertext and Social Media (HT'2018)
  • Jan 2018: Paper "Multi-Source Social Feedback of Online News Feeds" describing the dataset used in my PhD Thesis was uploaded to arXiv
  • Oct 2017: Big to organize the COST'2018 workshop at SDM 2018 accepted - International Workshop on Cost-Sensitive Learning
  • Sep 2017: Runner-up in Fraunhofer Challenge 2017 for PhD Thesis with Practical Utility

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

    Fall 2017
  • Human-Computer Interaction, L:CC, Sciences College - University of Porto
    Spring 2018
  • Computer Programming Laboratory, MI:ERS, Sciences College - University of Porto
  • Computer Programming, MIM, Sciences College - University of Porto

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)