Revisiting evolutionary fuzzy systems: Taxonomy, applications, new trends and challenges

A Fernandez, V Lopez, MJ del Jesus… - Knowledge-Based Systems, 2015 - Elsevier
Abstract Evolutionary Fuzzy Systems are a successful hybridization between fuzzy systems
and Evolutionary Algorithms. They integrate both the management of imprecision …

Monotonic classification: An overview on algorithms, performance measures and data sets

JR Cano, PA Gutiérrez, B Krawczyk, M Woźniak… - Neurocomputing, 2019 - Elsevier
Currently, knowledge discovery in databases is an essential first step when identifying valid,
novel and useful patterns for decision making. There are many real-world scenarios, such as …

Tweetboost: Influence of social media on nft valuation

A Kapoor, D Guhathakurta, M Mathur, R Yadav… - … Proceedings of the …, 2022 - dl.acm.org
NFT or Non-Fungible Token is a token that certifies a digital asset to be unique. A wide
range of assets including, digital art, music, tweets, memes, are being sold as NFTs. NFT …

[HTML][HTML] Weighted kappa measures for ordinal multi-class classification performance

AE Yilmaz, H Demirhan - Applied Soft Computing, 2023 - Elsevier
Assessing the classification performance of ordinal classifiers is a challenging problem
under imbalanced data compositions. Considering the critical impact of the metrics on the …

Overview of PAN 2019: bots and gender profiling, celebrity profiling, cross-domain authorship attribution and style change detection

W Daelemans, M Kestemont, E Manjavacas… - Experimental IR Meets …, 2019 - Springer
We briefly report on the four shared tasks organized as part of the PAN 2019 evaluation lab
on digital text forensics and authorship analysis. Each task is introduced, motivated, and the …

[PDF][PDF] Overview of the Style Change Detection Task at PAN 2020.

E Zangerle, M Mayerl, M Potthast, B Stein - CLEF (Working Notes), 2020 - dbis.uibk.ac.at
The goal of style change detection is to identify text positions within a multi-author document
at which the author switches. Detecting these positions is a crucial part of processing multi …

PToPI: A comprehensive review, analysis, and knowledge representation of binary classification performance measures/metrics

G Canbek, T Taskaya Temizel, S Sagiroglu - SN Computer Science, 2022 - Springer
Although few performance evaluation instruments have been used conventionally in
different machine learning-based classification problem domains, there are numerous ones …

Context-sensitive dynamic ordinal regression for intensity estimation of facial action units

O Rudovic, V Pavlovic, M Pantic - IEEE transactions on pattern …, 2014 - ieeexplore.ieee.org
Modeling intensity of facial action units from spontaneously displayed facial expressions is
challenging mainly because of high variability in subject-specific facial expressiveness …

[HTML][HTML] Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost

M Lázaro, AR Figueiras-Vidal - Pattern Recognition, 2023 - Elsevier
Ordinal classification of imbalanced data is a challenging problem that appears in many real
world applications. The challenge is to simultaneously consider the order of the classes and …

Metrics to guide a multi-objective evolutionary algorithm for ordinal classification

M Cruz-Ramírez, C Hervás-Martínez… - Neurocomputing, 2014 - Elsevier
Ordinal classification or ordinal regression is a classification problem in which the labels
have an ordered arrangement between them. Due to this order, alternative performance …