Juan Ignacio Arribas

23 papers B 3C 2Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
A discriminant analysis of the P3b wave with electroencephalogram by feature-electrode pairs in schizophrenia diagnosis.
IET Signal Process.
Juan Ignacio Arribas, Luis M. San-José-Revuelta
2023 J jnl
Contrastive Learning Over Random Fourier Features for IoT Network Intrusion Detection.
IEEE Internet Things J.
Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro
2023 J jnl
Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging.
Algorithms
Razieh Pourdarbani, Sajad Sabzi, Mohsen Dehghankar, Mohammad H. Rohban, Juan Ignacio Arribas
2022 J jnl
A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures.
Expert Syst. Appl.
Rodrigo Abadía-Heredia, Manuel López Martín, Belén Carro, Juan Ignacio Arribas, José Miguel Pérez, Soledad Le Clainche
2022 J jnl
Supervised contrastive learning over prototype-label embeddings for network intrusion detection.
Inf. Fusion
Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro
2021 J jnl
Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting.
Sensors
Manuel López Martín, Antonio Sánchez-Esguevillas, Luis Hernández-Callejo, Juan Ignacio Arribas, Belén Carro
2021 J jnl
Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning.
IEEE Access
Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro
2021 J jnl
Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses.
Knowl. Based Syst.
Manuel López Martín, Belén Carro, Juan Ignacio Arribas, Antonio Sánchez-Esguevillas
2020 J jnl
A Computer Vision System for the Automatic Classification of Five Varieties of Tree Leaf Images.
Comput.
Sajad Sabzi, Razieh Pourdarbani, Juan Ignacio Arribas
2018 J jnl
A new approach for the design of digital frequency selective FIR filters using an FPA-based algorithm.
Expert Syst. Appl.
Luis M. San-José-Revuelta, Juan Ignacio Arribas
2018 J jnl
A visible-range computer-vision system for automated, non-intrusive assessment of the pH value in Thomson oranges.
Comput. Ind.
Sajad Sabzi, Juan Ignacio Arribas
2017 J jnl
A Computer-Aided Diagnosis System With EEG Based on the P3b Wave During an Auditory Odd-Ball Task in Schizophrenia.
IEEE Trans. Biomed. Eng.
Lorenzo Santos-Mayo, Luis M. San-José-Revuelta, Juan Ignacio Arribas
2016 J jnl
Three Natural Computation methods for joint channel estimation and symbol detection in multiuser communications.
Appl. Soft Comput.
Luis M. San-José-Revuelta, Juan Ignacio Arribas
2010 J jnl
Automatic Bayesian Classification of Healthy Controls, Bipolar Disorder, and Schizophrenia Using Intrinsic Connectivity Maps From fMRI Data.
IEEE Trans. Biomed. Eng.
Juan Ignacio Arribas, Vince D. Calhoun, Tülay Adali
2008 J jnl
A Radius and Ulna TW3 Bone Age Assessment System.
IEEE Trans. Biomed. Eng.
Antonio Tristán-Vega, Juan Ignacio Arribas
2007 C conf
A Fast B-Spline Pseudo-inversion Algorithm for Consistent Image Registration.
CAIP
Antonio Tristán, Juan Ignacio Arribas
2007 C conf
A Statistical-Genetic Algorithm to Select the Most Significant Features in Mammograms.
CAIP
Gonzalo Vegas-Sánchez-Ferrero, Juan Ignacio Arribas
2005 J jnl
A model selection algorithm for a posteriori probability estimation with neural networks.
IEEE Trans. Neural Networks
Juan Ignacio Arribas, Jesús Cid-Sueiro
2004 B conf
Neural network fusion strategies for identifying breast masses.
IJCNN
Yunfeng Wu, Jingjing He, Yi Man, Juan Ignacio Arribas
2003 — conf
A fully automatic algorithm for contour detection of bones in hand radiographs using active contours.
ICIP (3)
Rodrigo de Luis García, Marcos Martín-Fernández, Juan Ignacio Arribas, Carlos Alberola-López
1999 J jnl
Cost functions to estimate a posteriori probabilities in multiclass problems.
IEEE Trans. Neural Networks
Jesús Cid-Sueiro, Juan Ignacio Arribas, Sebastian Urban-Munoz, Aníbal R. Figueiras-Vidal
1999 B conf
Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks.
IJCNN
Juan Ignacio Arribas, Jesús Cid-Sueiro, Tülay Adali, Hongmei Ni, Bo Wang, Aníbal R. Figueiras-Vidal
1999 B conf
Neural networks to estimate ML multi-class constrained conditional probability density functions.
IJCNN
Juan Ignacio Arribas, Jesús Cid-Sueiro, Tülay Adali, Aníbal R. Figueiras-Vidal