Search Results - "Grau, Isel"

Interpreting a black box predictor to gain insights into early folding mechanisms by Grau, Isel, Nowé, Ann, Vranken, Wim

“…[Display omitted] Protein folding and function are closely connected, but the exact mechanisms by which proteins fold remain elusive. Early folding residues…”
Get full text

Challenges in describing the conformation and dynamics of proteins with ambiguous behavior by Roca-Martinez, Joel, Lazar, Tamas, Gavalda-Garcia, Jose, Bickel, David, Pancsa, Rita, Dixit, Bhawna, Tzavella, Konstantina, Ramasamy, Pathmanaban, Sanchez-Fornaris, Maite, Grau, Isel, Vranken, Wim F

“…Traditionally, our understanding of how proteins operate and how evolution shapes them is based on two main data sources: the overall protein fold and the…”
Get full text

A revised cognitive mapping methodology for modeling and simulation by Nápoles, Gonzalo, Grau, Isel, Salgueiro, Yamisleydi

“…Fuzzy Cognitive Maps (FCMs) hold promise as a mathematical tool for modeling and simulating complex systems due to their transparency, flexibility to operate…”
Get full text

Backpropagation through time learning for recurrence-aware long-term cognitive networks by Nápoles, Gonzalo, Jastrzebska, Agnieszka, Grau, Isel, Salgueiro, Yamisleydi

“…Fuzzy Cognitive Mapping (FCM) and the extensive family of models derived from it have firmly established their strong position in the landscape of machine…”
Get full text

Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models by Concepcion, Leonardo, Napoles, Gonzalo, Grau, Isel, Pedrycz, Witold

“…Fuzzy-rough cognitive networks (FRCNs) are recurrent neural networks (RNNs) intended for structured classification purposes in which the problem is described…”
Get full text

Presumably correct decision sets by Nápoles, Gonzalo, Grau, Isel, Jastrzębska, Agnieszka, Salgueiro, Yamisleydi

“…•The paper proposes the Presumably Correct Decision Sets for handling uncertainty.•Similarity neighborhoods define weak, borderline and strong members of each…”
Get full text

Recommender system using Long-term Cognitive Networks by Nápoles, Gonzalo, Grau, Isel, Salgueiro, Yamisleydi

“…In this paper, we build a recommender system based on Long-term Cognitive Networks (LTCNs), which are a type of recurrent neural network that allows reasoning…”
Get full text

Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance by Nápoles, Gonzalo, Grau, Isel, Bello, Rafael, Grau, Ricardo

“…The Human Immunodeficiency Virus (HIV) is a complex retrovirus that progressively deteriorates the immune system of infected patients, eventually causing…”
Get full text

Fuzzy-Rough Cognitive Networks by Nápoles, Gonzalo, Mosquera, Carlos, Falcon, Rafael, Grau, Isel, Bello, Rafael, Vanhoof, Koen

“…Rough Cognitive Networks (RCNs) are a kind of granular neural network that augments the reasoning rule present in Fuzzy Cognitive Maps with crisp information…”
Get full text

Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification by Napoles, Gonzalo, Salgueiro, Yamisleydi, Grau, Isel, Espinosa, Maikel Leon

“…Machine-learning solutions for pattern classification problems are nowadays widely deployed in society and industry. However, the lack of transparency and…”
Get full text

Modeling implicit bias with fuzzy cognitive maps by Nápoles, Gonzalo, Grau, Isel, Concepción, Leonardo, Koutsoviti Koumeri, Lisa, Papa, João Paulo

“…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,…”
Get full text

Long short-term cognitive networks by Nápoles, Gonzalo, Grau, Isel, Jastrzębska, Agnieszka, Salgueiro, Yamisleydi

“…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…”
Get full text

Rough Cognitive Networks by Nápoles, Gonzalo, Grau, Isel, Papageorgiou, Elpiniki, Bello, Rafael, Vanhoof, Koen

“…Decision-making could informally be defined as the process of selecting the most appropriate actions among a set of possible alternatives in a given activity…”
Get full text

Patient-reported outcome measures on mental health and psychosocial factors in patients with Brugada syndrome by Six, Stefaan, Theuns, Peter, Libin, Pieter, Nowé, Ann, Pannone, Luigi, Bogaerts, Bart, Jaxy, Simon, Olsen, Catharina, Pappaert, Gudrun, Grau, Isel, Sieira, Juan, Van Dooren, Sonia, Scheirlynck, Esther, Nekkebroeck, Julie, Mallefroy, Marina, de Asmundis, Carlo, Bilsen, Johan

“…Abstract Aims Brugada syndrome (BrS) is a hereditary arrhythmic disease, associated with sudden cardiac death. To date, little is known about the psychosocial…”
Get full text

An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling by Grau, Isel, Sengupta, Dipankar, Garcia Lorenzo, Maria M., Nowe, Ann

“…Semi-supervised classifiers combine labeled and unlabeled data during the learning phase in order to increase classifier's generalization capability. However,…”
Get full text

Long Short-term Cognitive Networks: An Empirical Performance Study by Napoles, Gonzalo, Grau, Isel

“…Long Short-term Cognitive Networks (LSTCNs) are recurrent neural networks for univariate and multivariate time series forecasting. This interpretable neural…”
Get full text

Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance: Methods and Applications of Artificial and Computational Intelligence by NAPOLES, Gonzalo, GRAU, Isel, BELLO, Rafael, GRAU, Ricardo

Get full text

Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model by Onari, Mohsen Abbaspour, Grau, Isel, Nobile, Marco S, Zhang, Yingqian

“…This empirical study proposes a novel methodology to measure users' perceived trust in an Explainable Artificial Intelligence (XAI) model. To do so, users'…”
Get full text

Which is the best model for my data? by Nápoles, Gonzalo, Grau, Isel, Güven, Çiçek, Özdemir, Orçun, Salgueiro, Yamisleydi

“…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…”
Get full text

Forward Composition Propagation for Explainable Neural Reasoning by Grau, Isel, Nápoles, Gonzalo, Bello, Marilyn, Salgueiro, Yamisleydi, Jastrzebska, Agnieszka

“…This paper proposes an algorithm called Forward Composition Propagation (FCP) to explain the predictions of feed-forward neural networks operating on…”
Get full text