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Publication search results
found 157 matches
- 2024
- Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. Artif. Intell. 331: 104115 (2024) - Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos:
Learning from crowds for automated histopathological image segmentation. Comput. Medical Imaging Graph. 112: 102327 (2024) - Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares:
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making. ACM Comput. Surv. 56(11): 272:1-272:36 (2024) - Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection. Expert Syst. Appl. 240: 122296 (2024) - Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos:
Focused active learning for histopathological image classification. Medical Image Anal. 95: 103162 (2024) - Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina:
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images. Pattern Recognit. 146: 110057 (2024) - Mariano Politano, Valeria S. Bengolea, Facundo Molina, Nazareno Aguirre, Marcelo F. Frias, Pablo Ponzio:
BEAPI: A tool for bounded exhaustive input generation from APIs. Sci. Comput. Program. 238: 103153 (2024) - Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina:
Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10909-10922 (2024) - Pavel Cheben, Jens H. Schmid, J. Zhang, M. Saad Bin-Alam, A. F. Hinestrosa, W. Fraser, R. Korcek, Jose M. Luque-González, Carlos Pérez-Armenta, Alejandro Sánchez-Postigo, Alejandro Ortega-Moñux, J. Gonzalo Wangüemert-Pérez, Íñigo Molina-Fernández, Robert Halir, Pablo Ginel-Moreno, Daniel Benedikovic, Milan Dado, Shahrzad Khajavi, Winnie N. Ye, Z. Mokeddem, Daniele Melati, Carlos Alonso-Ramos, David González-Andrade, Laurent Vivien, D. Sirmaci, I. Staude, Dan-Xia Xu, Yuri Grinberg, Siegfried Janz, S. Wang, Martin Vachon, Ross Cheriton, R. Fernández de Cabo, Aitor V. Velasco, C. Naraine, J. Bradley, A. Knights:
Recent advances in metamaterial silicon photonic devices and Huygens' metawaveguides. ICTON 2024: 1 - Antonio Fernández-Rodríguez, Ezequiel López-Rubio, Pablo Torres-Salomón, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Miguel A. Molina-Cabello:
Enhancing Echocardiography Quality with Diffusion Neural Models. IWBBIO (2) 2024: 169-181 - José David Fernández-Rodríguez, Pablo Carmona-Martínez, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences. IWINAC (2) 2024: 3-12 - Pablo Zubasti, Antonio Berlanga, Miguel A. Patricio, José Manuel Molina:
Assessing the Interplay of Attributes in Dementia Prediction Through the Integration of Graph Embeddings and Unsupervised Learning. IWINAC 2024: 371-380 - Jeffry Chavarría-Molina, Juan Jose Fallas-Monge, Pablo Soto-Quiros:
FroImPro: A MATLAB Toolbox for Image Processing Based on the Frobenius Norm. TSP 2024: 75-82 - Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. CoRR abs/2403.14829 (2024) - Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Aggelos K. Katsaggelos, Rafael Molina:
Focused Active Learning for Histopathological Image Classification. CoRR abs/2404.04663 (2024) - 2023
- Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos:
Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification. IEEE Access 11: 6922-6934 (2023) - Fernando Díaz-del-Río, Pablo Sánchez-Cuevas, María José Moron-Fernández, Daniel Cascado Caballero, Helena Molina-Abril, Pedro Real:
Fully Parallel Homological Region Adjacency Graph via Frontier Recognition. Algorithms 16(6): 284 (2023) - Pablo Ruiz, Pablo Morales-Álvarez, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos:
Probabilistic fusion of crowds and experts for the search of gravitational waves. Knowl. Based Syst. 261: 110183 (2023) - Mauro Espinoza Ortiz, Juan Pablo Apún Molina, Salvador Isidro Belmonte Jiménez, Jaime Herrera Barrientos, Héctor José Peinado Guevara, Apolinar Santamaria Miranda:
Development of Low-Cost IoT System for Monitoring Piezometric Level and Temperature of Groundwater. Sensors 23(23): 9364 (2023) - Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos:
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. AIME 2023: 245-249 - Mariano Politano, Valeria S. Bengolea, Facundo Molina, Nazareno Aguirre, Marcelo F. Frias, Pablo Ponzio:
Efficient Bounded Exhaustive Input Generation from Program APIs. FASE 2023: 111-132 - Pablo Baizán, Rosario Gil, Félix García Loro, Clara Pérez, Elio San Cristóbal, Manuel Castro:
Work in Progress: ChatGPT as an Assistant in Paper Writing. FIE 2023: 1-5 - Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina:
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation. ICCV 2023: 21040-21049 - Pavel Cheben, Jens H. Schmid, Pablo Ginel-Moreno, Shahrzad Khajavi, R. Korcek, W. Fraser, D. Sirmaci, Alejandro Fernández Hinestrosa, Jose M. Luque-González, Daniel Pereira-Martín, Alejandro Sánchez-Postigo, Abdelfettah Hadij-ElHouati, Daniel Benedikovic, Alejandro Ortega-Moñux, J. Gonzalo Wangüemert-Pérez, I. Molina Fernandez, Robert Halir, Winnie N. Ye, Daniele Melati, Carlos Alonso-Ramos, David González-Andrade, Laurent Vivien, I. Staude, J. Zhang, Maziyar Milanizadeh, Dan-Xia Xu, Yuri Grinberg, Ross Cheriton, Siegfried Janz, S. Wang, Martin Vachon, Milan Dado, R. Fernández de Cabo, Aitor V. Velasco:
Subwavelength-Engineered Metamaterial Devices for Integrated Photonics. ICTON 2023: 1 - Juan Manuel Copia, Facundo Molina, Nazareno Aguirre, Marcelo F. Frias, Alessandra Gorla, Pablo Ponzio:
Precise Lazy Initialization for Programs with Complex Heap Inputs. ISSRE 2023: 752-762 - Facundo Molina, Pablo Ponzio, Nazareno Aguirre, Marcelo F. Frias:
EvoSpex: A Search-Based Tool for Postcondition Inference. ISSTA 2023: 1519-1522 - Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. MICCAI (5) 2023: 327-337 - Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares:
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems. CoRR abs/2301.10280 (2023) - Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina:
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning. CoRR abs/2302.04061 (2023) - Miguel Cavadas, Pablo Gamallo:
Automatic Authorship Attribution in the Work of Tirso de Molina. CoRR abs/2304.00363 (2023)
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