activity
20152021
most citedLearning under Concept Drift: A Review

943 citations · 973 across the 4 of their papers we have counts for

collaborators

7 papers

q-fin.CP2021

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…

cs.LG2020943 cited

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…

cs.LG2019

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…

cs.LG2019

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…

cs.LG2019

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…

cs.SI2018

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…