Benjamín Sahelices

17 papers A* 6Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions.
J. Intell. Manuf.
J. Fernández, D. Valerieva, L. Higuero, Benjamín Sahelices
2025 J jnl
Data augmentation in predictive maintenance applicable to hydrogen combustion engines: a review.
Artif. Intell. Rev.
Alexander Schwarz, Jhonny Rodriguez Rahal, Benjamín Sahelices, Verónica Barroso-García, Ronny Weis, Simon Duque Antón
2025 J jnl
The asset administration shell as enabler for predictive maintenance: a review.
J. Intell. Manuf.
Jhonny Rodriguez Rahal, Alexander Schwarz, Benjamín Sahelices, Ronny Weis, Simon Duque Antón
2024 J jnl
Breast Carcinoma Prediction Through Integration of Machine Learning Models.
IEEE Access
Rosmeri Martínez-Licort, Carlos de la Cruz León, Deevyankar Agarwal, Benjamín Sahelices, Isabel de la Torre Díez, José Pablo Miramontes-González, Mohammed Amoon
2024 J jnl
Interpretability of deep learning models in analysis of Spanish financial text.
Neural Comput. Appl.
César Vaca, Manuel Astorgano, Alfonso José López Rivero, Fernando Tejerina, Benjamín Sahelices
2023 J jnl
Correction to: Systematic Review of Machine Learning Applied to the Prediction of Obesity and Overweight.
J. Medical Syst.
Antonio Ferreras, Sandra Sumalla-Cano, Rosmeri Martínez-Licort, Iñaki Elío, Kilian Tutusaus, Thomas André Prola, Juan Luís Vidal Mazón, Benjamín Sahelices, Isabel de la Torre Díez
2023 J jnl
Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.
J. Medical Syst.
Antonio Ferreras, Sandra Sumalla-Cano, Rosmeri Martínez-Licort, Iñaki Elío, Kilian Tutusaus, Thomas André Prola, Juan Luís Vidal Mazón, Benjamín Sahelices, Isabel de la Torre Díez
2022 J jnl
Board of Directors' Profile: A Case for Deep Learning as a Valid Methodology to Finance Research.
Int. J. Interact. Multim. Artif. Intell.
César Vaca, Fernando Tejerina, Benjamín Sahelices
2022 J jnl
Depression Classification From Tweets Using Small Deep Transfer Learning Language Models.
IEEE Access
Muhammad Rizwan, Muhammad Faheem Mushtaq, Urooj Akram, Arif Mehmood, Imran Ashraf, Benjamín Sahelices
2014 A* conf
OmniOrder: Directory-based conflict serialization of transactions.
ISCA
Xuehai Qian, Benjamín Sahelices, Josep Torrellas
2014 A* conf
Pacifier: Record and replay for relaxed-consistency multiprocessors with distributed directory protocol.
ISCA
Xuehai Qian, Benjamín Sahelices, Depei Qian
2013 A* conf
BulkCommit: scalable and fast commit of atomic blocks in a lazy multiprocessor environment.
MICRO
Xuehai Qian, Josep Torrellas, Benjamín Sahelices, Depei Qian
2013 A* conf
Rainbow: Efficient memory dependence recording with high replay parallelism for relaxed memory model.
HPCA
Xuehai Qian, He Huang, Benjamín Sahelices, Depei Qian
2013 A* conf
Volition: scalable and precise sequential consistency violation detection.
ASPLOS
Xuehai Qian, Josep Torrellas, Benjamín Sahelices, Depei Qian
2012 A* conf
BulkSMT: Designing SMT processors for atomic-block execution.
HPCA
Xuehai Qian, Benjamín Sahelices, Josep Torrellas
2012 J jnl
Effcient Handling of Lock Hand-off in DSM Multiprocessors with Buffering Coherence Controllers.
J. Comput. Sci. Technol.
Benjamín Sahelices, Agustín De Dios Hernández, Pablo Ibáñez, Víctor Viñals Yúfera, José María Llabería
2009 — conf
A Methodology to Characterize Critical Section Bottlenecks in DSM Multiprocessors.
Euro-Par
Benjamín Sahelices, Pablo Ibáñez, Víctor Viñals, José María Llabería