Listar Informática por fecha de publicación

Software System Testing Assisted by Large Language Models: An Exploratory Study

Augusto Alonso, Cristian

; Morán Barbón, Jesús

; Bertolino, Antonia; Riva Álvarez, Claudio A. de la

; Tuya González, Pablo Javier

(Springer, 2025-01-25)

RETORCH*: A Cost and Resource aware Model for E2E Testing in the Cloud

Augusto Alonso, Cristian

; Morán Barbón, Jesús

; Bertolino, Antonia; Riva Álvarez, Claudio A. de la

; Tuya González, Pablo Javier

(2025)

Integrating imprecise data in generative models using interval-valued Variational Autoencoders

Sánchez Ramos, Luciano

; Costa Cortéz, Nahuel Alejandro

; Couso Blanco, Inés

; Strauss, Olivier (2025)

A multi-task framework for breast cancer segmentation and classification in ultrasound imaging

Aumente Maestro, Carlos; Díez Peláez, Jorge

; Remeseiro López, Beatriz

(2025)

Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models

Gu, Xiang; Pang, Shuchao; Du, Anan; Wang, Yifei; Miao, Jixiang; Díez Peláez, Jorge

(Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto Bugarín-Diz, José M. Alonso-Moral, Senén Barro, Fredrik Heintz, 2024-10-19)

Evaluating Deep Learning Techniques for Optimal Neurons Counting and Characterization in Complex Neuronal Cultures

Rio Álvarez, Ángel Francisco del

; García Marcos, Pablo

; Puerta González, Paula

; Serrano Pertierra, Esther

; Novelli Ciotti, Antonello

; Fernández Sánchez, María Teresa

; González Suárez, Víctor Manuel

(2024-10-17)

Explainable and interpretable bearing fault classification and diagnosis under limited data

Magadán Cobo, Luis

; Ruíz-Cárcel, Cristóbal; Granda Candás, Juan Carlos

; Suárez Alonso, Francisco José

; Starr, Alan (2024-10)

QuantificationLib: A Python library for quantification and prevalence estimation

Castaño Gutiérrez, Alberto

; Alonso González, Jaime

; González González, Pablo

; Pérez Núñez, Pablo

; Coz Velasco, Juan José del

(Elsevier, 2024-05)

Presentation of the paper: Can gamification help in software testing education? Findings from an empirical study

Blanco Aguirre, Raquel

; Trinidad, Manuel; Suárez Cabal, María José

; Calderón, Alejandro; Ruiz, Mercedes; Tuya González, Pablo Javier

(2024-05)

The Impact of Serif vs Sans-Serif Typefaces on e-Commerce Websites

Vecino García, Sara

; González Rodríguez, Bernardo Martín

; Fernández Lanvin, Daniel

; Andrés Suárez, Javier

(2024-04-18)

Automatic Debugging of Design Faults in MapReduce Applications

Morán Barbón, Jesús

; Bertolino, Antonia; Riva Álvarez, Claudio A. de la

; Tuya González, Pablo Javier

(IEEE, 2024)

Classification of Adventitious Sounds Combining Cochleogram and Vision Transformers

Mang, L. D.; González Martínez, F.D.; Martínez Muñoz, D.; García Galán, S.; Cortina Parajón, Raquel

(2024)

¿Puede Un TFG Resolver Necesidades Reales? Una Colaboración Enfermería-Ingeniería

Redondo López, José Manuel

; Fernández Arias, Sara; González García, María

; Fernández Feito, Ana

(Servicio de Publicaciones de la Universidad de Oviedo, 2024)

ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection

Costa Cortéz, Nahuel Alejandro

; Anseán González, David

; Dubarry, M.; Sánchez Ramos, Luciano

(2024)

A hybrid methodology for anomaly detection in Cyber–Physical Systems

Jeffrey, N.; Tan, Q.; Villar Flecha, José Ramón

(2024)

Robust prediction of remaining useful lifetime of bearings using deep learning

Magadán Cobo, Luis

; Granda Candás, Juan Carlos

; Suárez Alonso, Francisco José

(2024)

Semiautonomous pipeline inspection using infrared thermography and unmanned aerial vehicles

Usamentiaga Fernández, Rubén

(2024)

Optimizing End-to-End test execution: Unleashing the Resource Dispatcher - WiP

Augusto Alonso, Cristian

; Morán Barbón, Jesús

; Riva Álvarez, Claudio A. de la

; Tuya González, Pablo Javier

(2024)

A comparison procedure for the evaluation of metaheuristics

García González, Enol

; Villar Flecha, José Ramón

; Sedano, Javier (2024)

Apollon: a robust defense system against adversarial machine learning attacks in intrusion detection systems

Payá, Antonio; Arroni, S.; García Díaz, Vicente

; Gómez Gómez, Alberto

(2024)

Listar Informática por fecha de publicación

Software System Testing Assisted by Large Language Models: An Exploratory Study ﻿

RETORCH*: A Cost and Resource aware Model for E2E Testing in the Cloud ﻿

Integrating imprecise data in generative models using interval-valued Variational Autoencoders ﻿

A multi-task framework for breast cancer segmentation and classification in ultrasound imaging ﻿

Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models ﻿

Evaluating Deep Learning Techniques for Optimal Neurons Counting and Characterization in Complex Neuronal Cultures ﻿

Explainable and interpretable bearing fault classification and diagnosis under limited data ﻿

QuantificationLib: A Python library for quantification and prevalence estimation ﻿

Presentation of the paper: Can gamification help in software testing education? Findings from an empirical study ﻿

The Impact of Serif vs Sans-Serif Typefaces on e-Commerce Websites ﻿

Automatic Debugging of Design Faults in MapReduce Applications ﻿

Classification of Adventitious Sounds Combining Cochleogram and Vision Transformers ﻿

¿Puede Un TFG Resolver Necesidades Reales? Una Colaboración Enfermería-Ingeniería ﻿

ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection ﻿

A hybrid methodology for anomaly detection in Cyber–Physical Systems ﻿

Robust prediction of remaining useful lifetime of bearings using deep learning ﻿

Semiautonomous pipeline inspection using infrared thermography and unmanned aerial vehicles ﻿

Optimizing End-to-End test execution: Unleashing the Resource Dispatcher - WiP ﻿

A comparison procedure for the evaluation of metaheuristics ﻿

Apollon: a robust defense system against adversarial machine learning attacks in intrusion detection systems ﻿

Software System Testing Assisted by Large Language Models: An Exploratory Study

RETORCH*: A Cost and Resource aware Model for E2E Testing in the Cloud

Integrating imprecise data in generative models using interval-valued Variational Autoencoders

A multi-task framework for breast cancer segmentation and classification in ultrasound imaging

Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models

Evaluating Deep Learning Techniques for Optimal Neurons Counting and Characterization in Complex Neuronal Cultures

Explainable and interpretable bearing fault classification and diagnosis under limited data

QuantificationLib: A Python library for quantification and prevalence estimation

Presentation of the paper: Can gamification help in software testing education? Findings from an empirical study

The Impact of Serif vs Sans-Serif Typefaces on e-Commerce Websites

Automatic Debugging of Design Faults in MapReduce Applications

Classification of Adventitious Sounds Combining Cochleogram and Vision Transformers

¿Puede Un TFG Resolver Necesidades Reales? Una Colaboración Enfermería-Ingeniería

ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection

A hybrid methodology for anomaly detection in Cyber–Physical Systems

Robust prediction of remaining useful lifetime of bearings using deep learning

Semiautonomous pipeline inspection using infrared thermography and unmanned aerial vehicles

Optimizing End-to-End test execution: Unleashing the Resource Dispatcher - WiP

A comparison procedure for the evaluation of metaheuristics

Apollon: a robust defense system against adversarial machine learning attacks in intrusion detection systems