943 citations · 1k across the 15 of their papers we have counts for
16 papers
From Mobile Data to Business Insights: An End-to-End Analytics Framework for Large-Scale Urban Mobility Analysis and Decision Support
Thiago Andrade, Shazia Tabassum, Miguel E. P. Silva +2
Real time location data derived from mobile applications is a powerful tool for addressing various urban challenges, including tourism planning, parking management, bus route optim…
Contextualization for the Organization of Text Documents Streams
Rui Portocarrero Sarmento, Douglas O. Cardoso, João Gama +1
There has been a significant effort by the research community to address the problem of providing methods to organize documentation with the help of information Retrieval methods.…
Forecasting Financial Market Structure from Network Features using Machine Learning
Douglas Castilho, Tharsis T. P. Souza, Soong Moon Kang +2
We propose a model that forecasts market correlation structure from link- and node-based financial network features using machine learning. For such, market structure is modeled as…
Learning under Concept Drift: A Review
Jie Lu, Anjin Liu, Fan Dong +3
Concept drift describes unforeseeable changes in the underlying distribution of streaming data over time. Concept drift research involves the development of methodologies and techn…
Contextual One-Class Classification in Data Streams
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz +1
In machine learning, the one-class classification problem occurs when training instances are only available from one class. It has been observed that making use of this class's str…
A scalable saliency-based Feature selection method with instance level information
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos +1
Classic feature selection techniques remove those features that are either irrelevant or redundant, achieving a subset of relevant features that help to provide a better knowledge…
Identifying Points of Interest and Similar Individuals from Raw GPS Data
Thiago Andrade, João Gama
Smartphones and portable devices have become ubiquitous and part of everyone's life. Due to the fact of its portability, these devices are perfect to record individuals' traces and…
Dynamic Laplace: Efficient Centrality Measure for Weighted or Unweighted Evolving Networks
Mário Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil +1
With its origin in sociology, Social Network Analysis (SNA), quickly emerged and spread to other areas of research, including anthropology, biology, information science, organizati…
SimTensor: A synthetic tensor data generator
Hadi Fanaee-T, Joao Gama
SimTensor is a multi-platform, open-source software for generating artificial tensor data (either with CP/PARAFAC or Tucker structure) for reproducible research on tensor factoriza…
Improving incremental recommenders with online bagging
João Vinagre, Alípio Mário Jorge, João Gama
Online recommender systems often deal with continuous, potentially fast and unbounded flows of data. Ensemble methods for recommender systems have been used in the past in batch al…
Evaluation of recommender systems in streaming environments
João Vinagre, Alípio Mário Jorge, João Gama
Evaluation of recommender systems is typically done with finite datasets. This means that conventional evaluation methodologies are only applicable in offline experiments, where da…
A two-stage model for dealing with temporal degradation of credit scoring
Maria Rocha Sousa, João Gama, Manuel J. Silva Gonçalves
This work is attached to the BRICS 2013 competition. We propose a two-stage model for dealing with the temporal degradation of credit scoring models. This methodology produced moti…
Eigenspace Method for Spatiotemporal Hotspot Detection
Hadi Fanaee-T, João Gama
Hotspot detection aims at identifying subgroups in the observations that are unexpected, with respect to the some baseline information. For instance, in disease surveillance, the p…
EigenEvent: An Algorithm for Event Detection from Complex Data Streams in Syndromic Surveillance
Hadi Fanaee-T, João Gama
Syndromic surveillance systems continuously monitor multiple pre-diagnostic daily streams of indicators from different regions with the aim of early detection of disease outbreaks.…
An eigenvector-based hotspot detection
Hadi Fanaee-T, Joao Gama
Space and time are two critical components of many real world systems. For this reason, analysis of anomalies in spatiotemporal data has been a great of interest. In this work, app…
Event and Anomaly Detection Using Tucker3 Decomposition
Hadi Fanaee-T, Márcia D. B. Oliveira, João Gama +2
Failure detection in telecommunication networks is a vital task. So far, several supervised and unsupervised solutions have been provided for discovering failures in such networks.…