Search Results - "Cerqueira, Vitor"

Evaluating time series forecasting models: an empirical study on performance estimation methods by Cerqueira, Vitor, Torgo, Luis, Mozetič, Igor

“…Performance estimation aims at estimating the loss that a predictive model will incur on unseen data. This process is a fundamental stage in any machine…”
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STUDD: a student–teacher method for unsupervised concept drift detection by Cerqueira, Vitor, Gomes, Heitor Murilo, Bifet, Albert, Torgo, Luis

“…Concept drift detection is a crucial task in data stream evolving environments. Most of state of the art approaches designed to tackle this problem monitor the…”
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How to evaluate sentiment classifiers for Twitter time-ordered data? by Mozetič, Igor, Torgo, Luis, Cerqueira, Vitor, Smailović, Jasmina

“…Social media are becoming an increasingly important source of information about the public mood regarding issues such as elections, Brexit, stock market, etc…”
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Forecasting ocean hypoxia in salmonid fish farms by Cerqueira, Vitor, Pimentel, João, Korus, Jennie, Bravo, Francisco, Amorim, Joana, Oliveira, Mariana, Swanson, Andrew, Filgueira, Ramón, Grant, Jon, Torgo, Luis

“…IntroductionHypoxia is defined as a critically low-oxygen condition of water, which, if prolonged, can be harmful to fish and many other aquatic species. In…”
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Luto e memória: a fragilidade do entrelugar em Ventos de Agosto by Dassie, Vitor Cerqueira

“…Ventos de Agosto, de Gabriel Mascaro, retrata a luta de uma pequena comunidade de pescadores de Alagoas ao tornar-se consciente das diversas correntes que a…”
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Automated imbalanced classification via meta-learning by Moniz, Nuno, Cerqueira, Vitor

“…•The first automated machine learning approach to imbalanced domains.•95% reduction of computational efforts concerning workflow selection and…”
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Stream fish fauna from the tributaries of the upper Itapetininga River, upper Paranapanema River basin, state of São Paulo, Brazil by Cerqueira, Vitor Loreno de Almeida, Carvalho, Mauricio De Proença, Almeida, Rodrigo Da Silva, Ferreira, Fabio Cop, Cetra, Mauricio, Smith, Welber Senteio

“…The study area, which is located in urban and rural areas within the upper Paranapanema River basin, is undergoing several types of anthropogenic and…”
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VEST: automatic feature engineering for forecasting by Cerqueira, Vitor, Moniz, Nuno, Soares, Carlos

“…Time series forecasting is a challenging task with applications in a wide range of domains. Auto-regression is one of the most common approaches to address…”
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Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes by Cerqueira, Vitor, Torgo, Luis, Soares, Carlos

“…The early detection of anomalous events in time series data is essential in many domains of application. In this paper we deal with critical health events,…”
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Instance-based meta-learning for conditionally dependent univariate multi-step forecasting by Cerqueira, Vitor, Torgo, Luis, Bontempi, Gianluca

“…Multi-step prediction is a key challenge in univariate forecasting. However, forecasting accuracy decreases as predictions are made further into the future…”
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A case study comparing machine learning with statistical methods for time series forecasting: size matters by Cerqueira, Vitor, Torgo, Luis, Soares, Carlos

“…Time series forecasting is one of the most active research topics. Machine learning methods have been increasingly adopted to solve these predictive tasks…”
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Automated imbalanced classification via layered learning by Cerqueira, Vitor, Torgo, Luis, Branco, Paula, Bellinger, Colin

“…In this paper we address imbalanced binary classification (IBC) tasks. Applying resampling strategies to balance the class distribution of training instances…”
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Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators by Cerqueira, Vitor, Torgo, Luis, Soares, Carlos

“…Evaluating predictive models is a crucial task in predictive analytics. This process is especially challenging with time series data because observations are…”
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Forecasting hotel demand for revenue management using machine learning regression methods by Pereira, Luis Nobre, Cerqueira, Vitor

“…This paper compares the accuracy of a set of 22 methods for short-term hotel demand forecasting for lead times up to 14 days ahead. Machine learning models are…”
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Arbitrage of forecasting experts by Cerqueira, Vitor, Torgo, Luís, Pinto, Fábio, Soares, Carlos

“…Forecasting is an important task across several domains. Its generalised interest is related to the uncertainty and complex evolving structure of time series…”
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On Evaluating Floating Car Data Quality for Knowledge Discovery by Cerqueira, Vitor, Moreira-Matias, Luis, Khiari, Jihed, van Lint, Hans

“…Floating car data (FCD) denotes the type of data (location, speed, and destination) produced and broadcasted periodically by running vehicles. Increasingly,…”
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Towards time-evolving analytics: Online learning for time-dependent evolving data streams by Ziffer, Giacomo, Bernardo, Alessio, Della Valle, Emanuele, Cerqueira, Vitor, Bifet, Albert

“…Traditional historical data analytics is at risk in a world where volatility, uncertainty, complexity, and ambiguity are the new normal. While Streaming…”
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Multi-output Ensembles for Multi-step Forecasting by Cerqueira, Vitor, Torgo, Luis

“…This paper studies the application of ensembles composed of multi-output models for multi-step ahead forecasting problems. Dynamic ensembles have been commonly…”
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Ensembles for Time Series Forecasting by Cerqueira, Vitor Manuel Araújo

“…A time series represents a collection of data points captured over time. This type of data is actively studied in many domains of application, such as…”
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Exceedance Probability Forecasting via Regression for Significant Wave Height Prediction by Cerqueira, Vitor, Torgo, Luis

“…Significant wave height forecasting is a key problem in ocean data analytics. This task affects several maritime operations, such as managing the passage of…”
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