A Methodology to Characterize Critical Section Bottlenecks in DSM Multiprocessors. - Benjamín Sahelices; Pablo Ibáñez 001; Víctor Viñals; José María Llabería (Euro-Par, 2009)

BulkSMT: Designing SMT processors for atomic-block execution. - Xuehai Qian; Benjamín Sahelices; Josep Torrellas (HPCA, 2012)

Effcient Handling of Lock Hand-off in DSM Multiprocessors with Buffering Coherence Controllers. - Benjamín Sahelices; Agustín De Dios Hernández; Pablo Ibáñez 001; Víctor Viñals Yúfera; José María Llabería (J. Comput. Sci. Technol., 2012)

Volition: scalable and precise sequential consistency violation detection. - Xuehai Qian; Josep Torrellas; Benjamín Sahelices; Depei Qian (ASPLOS, 2013)

Rainbow: Efficient memory dependence recording with high replay parallelism for relaxed memory model. - Xuehai Qian; He Huang; Benjamín Sahelices; Depei Qian (HPCA, 2013)

BulkCommit: scalable and fast commit of atomic blocks in a lazy multiprocessor environment. - Xuehai Qian; Josep Torrellas; Benjamín Sahelices; Depei Qian (MICRO, 2013)

Pacifier: Record and replay for relaxed-consistency multiprocessors with distributed directory protocol. - Xuehai Qian; Benjamín Sahelices; Depei Qian (ISCA, 2014)

OmniOrder: Directory-based conflict serialization of transactions. - Xuehai Qian; Benjamín Sahelices; Josep Torrellas (ISCA, 2014)

Depression Classification From Tweets Using Small Deep Transfer Learning Language Models. - Muhammad Rizwan; Muhammad Faheem Mushtaq; Urooj Akram; Arif Mehmood; Imran Ashraf; Benjamín Sahelices (IEEE Access, 2022)

Board of Directors' Profile: A Case for Deep Learning as a Valid Methodology to Finance Research. - César Vaca; Fernando Tejerina; Benjamín Sahelices (Int. J. Interact. Multim. Artif. Intell., 2022)

Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight. - 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 (J. Medical Syst., 2023)

Correction to: Systematic Review of Machine Learning Applied to the Prediction of Obesity and Overweight. - 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 (J. Medical Syst., 2023)

Breast Carcinoma Prediction Through Integration of Machine Learning Models. - Rosmeri Martínez-Licort; Carlos de la Cruz León; Deevyankar Agarwal; Benjamín Sahelices; Isabel de la Torre Díez; José Pablo Miramontes-González; Mohammed Amoon (IEEE Access, 2024)

Interpretability of deep learning models in analysis of Spanish financial text. - César Vaca; Manuel Astorgano; Alfonso José López Rivero; Fernando Tejerina; Benjamín Sahelices (Neural Comput. Appl., 2024)

Data augmentation in predictive maintenance applicable to hydrogen combustion engines: a review. - Alexander Schwarz; Jhonny Rodriguez Rahal; Benjamín Sahelices; Verónica Barroso-García; Ronny Weis; Simon Duque Antón (Artif. Intell. Rev., 2025)

3DWS: reliable segmentation on intelligent welding systems with 3D convolutions. - J. Fernández; D. Valerieva; L. Higuero; Benjamín Sahelices (J. Intell. Manuf., 2025)

The asset administration shell as enabler for predictive maintenance: a review. - Jhonny Rodriguez Rahal; Alexander Schwarz; Benjamín Sahelices; Ronny Weis; Simon Duque Antón (J. Intell. Manuf., 2025)