20 citations · 71 across the 13 of their papers we have counts for
15 papers
Systematic analysis of the impact of label noise correction on ML Fairness
I. Oliveira e Silva, C. Soares, I. Sousa +1
Arbitrary, inconsistent, or faulty decision-making raises serious concerns, and preventing unfair models is an increasingly important challenge in Machine Learning. Data often refl…
Meta-aprendizado para otimizacao de parametros de redes neurais
Tarsicio Lucas, Teresa Ludermir, Ricardo Prudencio +1
The optimization of Artificial Neural Networks (ANNs) is an important task to the success of using these models in real-world applications. The solutions adopted to this task are e…
Preference rules for label ranking: Mining patterns in multi-target relations
Cláudio Rebelo de Sá, Paulo Azevedo, Carlos Soares +2
In this paper we investigate two variants of association rules for preference data, Label Ranking Association Rules and Pairwise Association Rules. Label Ranking Association Rules…
cf2vec: Collaborative Filtering algorithm selection using graph distributed representations
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
Algorithm selection using Metalearning aims to find mappings between problem characteristics (i.e. metafeatures) with relative algorithm performance to predict the best algorithm(s…
Characterizing classification datasets: a study of meta-features for meta-learning
Adriano Rivolli, Luís P. F. Garcia, Carlos Soares +2
Meta-learning is increasingly used to support the recommendation of machine learning algorithms and their configurations. Such recommendations are made based on meta-data, consisti…
Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
To select the best algorithm for a new problem is an expensive and difficult task. However, there are automatic solutions to address this problem: using Metalearning, which takes a…
CF4CF: Recommending Collaborative Filtering algorithms using Collaborative Filtering
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
Automatic solutions which enable the selection of the best algorithms for a new problem are commonly found in the literature. One research area which has recently received consider…
Smart energy management as a means towards improved energy efficiency
Dylan te Lindert, Cláudio Rebelo de Sá, Carlos Soares +1
The costs associated with refrigerator equipment often represent more than half of the total energy costs in supermarkets. This presents a good motivation for running these systems…
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects
Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues +2
This paper describes a preliminary study for producing and distributing a large-scale database of embeddings from the Portuguese Twitter stream. We start by experimenting with a re…
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings
Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares +1
This paper presents the approach developed at the Faculty of Engineering of University of Porto, to participate in SemEval 2017, Task 5: Fine-grained Sentiment Analysis on Financia…
Learning from the News: Predicting Entity Popularity on Twitter
Pedro Saleiro, Carlos Soares
In this work, we tackle the problem of predicting entity popularity on Twitter based on the news cycle. We apply a supervised learn- ing approach and extract four types of features…
Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams
Pedro Saleiro, Luís Gomes, Carlos Soares
The automatic content analysis of mass media in the social sciences has become necessary and possible with the raise of social media and computational power. One particularly promi…
TimeMachine: Entity-centric Search and Visualization of News Archives
Pedro Saleiro, Jorge Teixeira, Carlos Soares +1
We present a dynamic web tool that allows interactive search and visualization of large news archives using an entity-centric approach. Users are able to search entities using keyw…
POPmine: Tracking Political Opinion on the Web
Pedro Saleiro, Sílvio Amir, Mário J. Silva +1
The automatic content analysis of mass media in the social sciences has become necessary and possible with the raise of social media and computational power. One particularly promi…
Using Contextual Information as Virtual Items on Top-N Recommender Systems
Marcos A. Domingues, Alipio Mario Jorge, Carlos Soares
Traditionally, recommender systems for the Web deal with applications that have two dimensions, users and items. Based on access logs that relate these dimensions, a recommendation…