6 papers · 1 filter
Concept Inconsistency in Dermoscopic Concept Bottleneck Models: A Rough-Set Analysis of the Derm7pt Dataset
Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro
Concept Bottleneck Models (CBMs) route predictions exclusively through a clinically grounded concept layer, binding interpretability to concept-label consistency. When a dataset co…
Which is the best model for my data?
Gonzalo Nápoles, Isel Grau, Çiçek Güven +2
In this paper, we tackle the problem of selecting the optimal model for a given structured pattern classification dataset. In this context, a model can be understood as a classifie…
Forward Composition Propagation for Explainable Neural Reasoning
Isel Grau, Gonzalo Nápoles, Marilyn Bello +2
This paper proposes an algorithm called Forward Composition Propagation (FCP) to explain the predictions of feed-forward neural networks operating on structured classification prob…
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification
Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau +1
Machine learning solutions for pattern classification problems are nowadays widely deployed in society and industry. However, the lack of transparency and accountability of most ac…
Online learning of windmill time series using Long Short-term Cognitive Networks
Alejandro Morales-Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska +2
Forecasting windmill time series is often the basis of other processes such as anomaly detection, health monitoring, or maintenance scheduling. The amount of data generated on wind…
Long Short-term Cognitive Networks
Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska +1
In this paper, we present a recurrent neural system named Long Short-term Cognitive Networks (LSTCNs) as a generalization of the Short-term Cognitive Network (STCN) model. Such a g…