3 citations · 4 across the 8 of their papers we have counts for
8 papers
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model
Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile +1
This empirical study proposes a novel methodology to measure users' perceived trust in an Explainable Artificial Intelligence (XAI) model. To do so, users' mental models are elicit…
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps
Isel Grau, Gonzalo Nápoles, Fabian Hoitsma +2
In this paper, we integrate the concepts of feature importance with implicit bias in the context of pattern classification. This is done by means of a three-step methodology that i…
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…
Modeling Implicit Bias with Fuzzy Cognitive Maps
Gonzalo Nápoles, Isel Grau, Leonardo Concepción +2
This paper presents a Fuzzy Cognitive Map model to quantify implicit bias in structured datasets where features can be numeric or discrete. In our proposal, problem features are ma…
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…
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…
An interpretable semi-supervised classifier using two different strategies for amended self-labeling
Isel Grau, Dipankar Sengupta, Maria M. Garcia Lorenzo +1
In the context of some machine learning applications, obtaining data instances is a relatively easy process but labeling them could become quite expensive or tedious. Such scenario…