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Juan Ignacio Arribas
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2020 – today
- 2023
- [j17]Razieh Pourdarbani, Sajad Sabzi, Mohsen Dehghankar, Mohammad H. Rohban, Juan Ignacio Arribas:
Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging. Algorithms 16(2): 113 (2023) - [j16]Juan Ignacio Arribas, Luis M. San-José-Revuelta:
A discriminant analysis of the P3b wave with electroencephalogram by feature-electrode pairs in schizophrenia diagnosis. IET Signal Process. 17(6) (2023) - [j15]Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro:
Contrastive Learning Over Random Fourier Features for IoT Network Intrusion Detection. IEEE Internet Things J. 10(10): 8505-8513 (2023) - 2022
- [j14]Rodrigo Abadía-Heredia, Manuel López Martín, Belén Carro, Juan Ignacio Arribas, José Miguel Pérez, Soledad Le Clainche:
A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures. Expert Syst. Appl. 187: 115910 (2022) - [j13]Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro:
Supervised contrastive learning over prototype-label embeddings for network intrusion detection. Inf. Fusion 79: 200-228 (2022) - 2021
- [j12]Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro:
Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning. IEEE Access 9: 153153-153170 (2021) - [j11]Manuel López Martín, Belén Carro, Juan Ignacio Arribas, Antonio Sánchez-Esguevillas:
Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses. Knowl. Based Syst. 219: 106887 (2021) - [j10]Manuel López Martín, Antonio Sánchez-Esguevillas, Luis Hernández-Callejo, Juan Ignacio Arribas, Belén Carro:
Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting. Sensors 21(9): 2979 (2021) - 2020
- [j9]Sajad Sabzi, Razieh Pourdarbani, Juan Ignacio Arribas:
A Computer Vision System for the Automatic Classification of Five Varieties of Tree Leaf Images. Comput. 9(1): 6 (2020)
2010 – 2019
- 2018
- [j8]Sajad Sabzi, Juan Ignacio Arribas:
A visible-range computer-vision system for automated, non-intrusive assessment of the pH value in Thomson oranges. Comput. Ind. 99: 69-82 (2018) - [j7]Luis M. San-José-Revuelta, Juan Ignacio Arribas:
A new approach for the design of digital frequency selective FIR filters using an FPA-based algorithm. Expert Syst. Appl. 106: 92-106 (2018) - 2017
- [j6]Lorenzo Santos-Mayo, Luis M. San-José-Revuelta, Juan Ignacio Arribas:
A Computer-Aided Diagnosis System With EEG Based on the P3b Wave During an Auditory Odd-Ball Task in Schizophrenia. IEEE Trans. Biomed. Eng. 64(2): 395-407 (2017) - 2016
- [j5]Luis M. San-José-Revuelta, Juan Ignacio Arribas:
Three Natural Computation methods for joint channel estimation and symbol detection in multiuser communications. Appl. Soft Comput. 49: 561-569 (2016) - 2010
- [j4]Juan Ignacio Arribas, Vince D. Calhoun, Tülay Adali:
Automatic Bayesian Classification of Healthy Controls, Bipolar Disorder, and Schizophrenia Using Intrinsic Connectivity Maps From fMRI Data. IEEE Trans. Biomed. Eng. 57(12): 2850-2860 (2010)
2000 – 2009
- 2008
- [j3]Antonio Tristán-Vega, Juan Ignacio Arribas:
A Radius and Ulna TW3 Bone Age Assessment System. IEEE Trans. Biomed. Eng. 55(5): 1463-1476 (2008) - 2007
- [c5]Gonzalo Vegas-Sánchez-Ferrero, Juan Ignacio Arribas:
A Statistical-Genetic Algorithm to Select the Most Significant Features in Mammograms. CAIP 2007: 189-196 - [c4]Antonio Tristán, Juan Ignacio Arribas:
A Fast B-Spline Pseudo-inversion Algorithm for Consistent Image Registration. CAIP 2007: 768-775 - 2005
- [j2]Juan Ignacio Arribas, Jesús Cid-Sueiro:
A model selection algorithm for a posteriori probability estimation with neural networks. IEEE Trans. Neural Networks 16(4): 799-809 (2005) - 2003
- [c3]Rodrigo de Luis García, Marcos Martín-Fernández, Juan Ignacio Arribas, Carlos Alberola-López:
A fully automatic algorithm for contour detection of bones in hand radiographs using active contours. ICIP (3) 2003: 421-424
1990 – 1999
- 1999
- [j1]Jesús Cid-Sueiro, Juan Ignacio Arribas, Sebastian Urban-Munoz, Aníbal R. Figueiras-Vidal:
Cost functions to estimate a posteriori probabilities in multiclass problems. IEEE Trans. Neural Networks 10(3): 645-656 (1999) - [c2]Juan Ignacio Arribas, Jesús Cid-Sueiro, Tülay Adali, Aníbal R. Figueiras-Vidal:
Neural networks to estimate ML multi-class constrained conditional probability density functions. IJCNN 1999: 1429-1432 - [c1]Juan Ignacio Arribas, Jesús Cid-Sueiro, Tülay Adali, Hongmei Ni, Bo Wang, Aníbal R. Figueiras-Vidal:
Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks. IJCNN 1999: 1560-1561
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