Nuno Moniz

• 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

Edition of Books

• Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco, ed.
  LIDTA 2018. 2nd International Workshop on Learning with Imbalanced Domains: Theory and Applications (with ECML/PKDD 2018),
  Volume 94. Proceedings of Machine Learning Research (PMLR). 2018.
• Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco, ed.
  COST 2018. International Workshop on Cost-Sensitive Learning, (with SIAM SDM 2018)
  Volume 88. Proceedings of Machine Learning Research (PMLR). 2017.
• Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz, ed.
  LIDTA 2017. 1st International Workshop on Learning with Imbalanced Domains: Theory and Applications (with ECML/PKDD 2017),
  Volume 74. Proceedings of Machine Learning Research (PMLR). 2017.

Journals

• Nuno Moniz, Luís Torgo A review on web content popularity prediction: Issues and open challenges,
  Online Social Networks and Media, Elsevier, 2019.
• Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco A Framework for Recommendation of Highly Popular News Lacking Social Feedback,
  New Generation Computing Journal (EPIA'2017 Journal Track), Springer, 2017. [GitHub]
• Nuno Moniz, Paula Branco, Luís Torgo, Resampling Strategies for Imbalanced Time Series Forecasting,
  International Journal of Data Science and Analytics, Springer, 2017. [GitHub] [R Package]
• Nuno Moniz, Francisco Louçã, Márcia Oliveira, Renato Soeiro, Empirical Analysis of the Portuguese Governments Social Network,
  Social Networks Analysis and Mining, 6(1), 1-19, Springer, 2016.
• Nuno Moniz, Adriano Campos, Relational Data on Members of Portuguese Governments (1976-2014),
  Data, MDPI, 2015.

International Conferences (peer-review)

• Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh Chawla SMOTEBoost for Regression: Improving the Prediction of Extreme Values,
  5th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018),
  Turin, Italy, 2018. [GitHub] [R Package] [Slides]
• Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz Constructive Aggregation and its Application to Forecasting with Dynamic Ensembles,
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2018 (ECML/PKDD 2018),
  Dublin, Ireland, 2018.
• Nuno Moniz, Luís Torgo The Utility Problem of Web Content Popularity Prediction,
  29th ACM Conference on Hypertext and Social Media 2018 (HT 2018),
  Baltimore, USA, 2018. [GitHub] [Presentation]
• Nuno Moniz, Paula Branco, Luís Torgo Evaluation of Ensemble Methods in Imbalanced Regression Tasks,
  1st International Workshop on Learning with Imbalanced Domains: Theory and Applications (@ECML/PKDD 2017),
  Sköpje, Macedonia, 2017. [GitHub]
• Nuno Moniz, Luís Torgo, Magdalini Eirinaki Time-Based Ensembles for Prediction of Rare Events In News Streams,
  2nd International Workshop on Data Science for Social Media and Risk (@ICDM 2016), Barcelona, Spain, 2016.
• Nuno Moniz, Paula Branco, Luís Torgo, Resampling Strategies for Imbalanced Time Series,
  3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016), Montreal, Canada, 2016. [GitHub] [R Package]
• Magdalini Eirinaki, Nuno Moniz, Katerina Potika, Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks,
  9th IEEE International Conference on Social Computing and Networking (SOCIALCOM 2016), Atlanta, United States of America, 2016.
• Nuno Moniz, Luís Torgo, Combining Social and Official Media in News Recommender Systems,
  ECML PKDD 2015 - Doctoral Consortium, Porto, Portugal, 2015.
• Nuno Moniz, Luís Torgo, Fátima Rodrigues, Resampling approaches to improve news importance prediction,
  IDA2014 - Thirteenth International Symposium on Intelligent Data Analysis, Leuven, Belgium, 2014.
• Nuno Moniz, Luís Torgo, Improvement of News Ranking through Importance Prediction,
  KDD2014 - 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
  NewsKDD Workshop - Data Science for News Publishing, New York, United States of America, 2014.
• Nuno Moniz, Fátima Rodrigues, Extracting structure, text and entities from PDF documents of the Portuguese legislation,
  KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, pp. 123-131,
  Barcelona, Spain, 2012.

Other Publications

• Nuno Moniz, Real-time 2019 Portuguese Parliament Election Results Dataset,
  ArXiv preprint arXiv:1912.08922, 2019
• Nuno Moniz, Luís Torgo, Multi-Source Social Feedback of Online News Feeds,
  ArXiv preprint arXiv:1801.07055, 2018
• Nuno Moniz, Luís Torgo, João Vinagre, Data-Driven Relevance Judgments for Ranking Evaluation,
  ArXiv preprint arXiv:1612.06136, 2016
• Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Socially Driven News Recommendation,
  ArXiv preprint arXiv:1506.01743, 2015

Thesis

• Nuno Moniz, Prediction and Ranking of Highly Popular Web Content,
  University of Porto, Sciences College. Portugal. 2017. (Ph.D.)
• Nuno Moniz, Bridging the gap between closed and open data. System proposal for the Portuguese Legislation,
  Polytechnic Institute of Porto. Superior Institute of Engineering of Porto. Portugal. 2012. (M.Sc.)
• Nuno Moniz, Estimating the Number of Nodes in Wireless Sensor Networks,
  Polytechnic Institute of Porto. Superior Institute of Engineering of Porto. Portugal. 2009. (B.Sc.)

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

• P3, Internet: Nuno criou uma forma de prever os conteúdos mais populares (02/11/2017)
Não sabes em quem votar? Esta app faz match com o partido dos teus sonhos (11/07/2019)