Studying New Ways for Improving Adaptive History Length Branch Predictors. - Ayose Falcón; Oliverio J. Santana; Pedro Medina; Enrique Fernández; Alex Ramírez; Mateo Valero (ISHPC, 2002)

A Comprehensive Analysis of Indirect Branch Prediction. - Oliverio J. Santana; Ayose Falcón; Enrique Fernández; Pedro Medina; Alex Ramírez; Mateo Valero (ISHPC, 2002)

Fetching instruction streams. - Alex Ramírez; Oliverio J. Santana; Josep Lluís Larriba-Pey; Mateo Valero (MICRO, 2002)

Tolerating Branch Predictor Latency on SMT. - Ayose Falcón; Oliverio J. Santana; Alex Ramírez; Mateo Valero (ISHPC, 2003)

Reducing Fetch Architecture Complexity Using Procedure Inlining. - Oliverio J. Santana; Alex Ramírez; Mateo Valero (Interaction between Compilers and Computer Architectures, 2004)

Maintaining Thousands of In-flight Instructions. - Adrián Cristal; Oliverio J. Santana; Mateo Valero (Euro-Par, 2004)

A latency-conscious SMT branch prediction architecture. - Ayose Falcón; Oliverio J. Santana; Alex Ramírez; Mateo Valero (Int. J. High Perform. Comput. Netw., 2004)

Toward kilo-instruction processors. - Adrián Cristal; Oliverio J. Santana; Mateo Valero; José F. Martínez (ACM Trans. Archit. Code Optim., 2004)

A low-complexity fetch architecture for high-performance superscalar processors. - Oliverio J. Santana; Alex Ramírez; Josep Lluís Larriba-Pey; Mateo Valero (ACM Trans. Archit. Code Optim., 2004)

Multiple Stream Prediction. - Oliverio J. Santana; Alex Ramírez; Mateo Valero (ISHPC, 2005)

Kilo-Instruction Processors: Overcoming the Memory Wall. - Adrián Cristal; Oliverio J. Santana; Francisco J. Cazorla; Marco Galluzzi; Tanausú Ramírez; Miquel Pericàs; Mateo Valero (IEEE Micro, 2005)

Branch predictor guided instruction decoding. - Oliverio J. Santana; Ayose Falcón; Alex Ramírez; Mateo Valero (PACT, 2006)

Kilo-instruction processors, runahead and prefetching. - Tanausú Ramírez; Alex Pajuelo; Oliverio J. Santana; Mateo Valero (Conf. Computing Frontiers, 2006)

A simple speculative load control mechanism for energy saving. - Tanausú Ramírez; Alex Pajuelo; Oliverio J. Santana; Mateo Valero (MEDEA@PACT, 2006)

Runahead Threads: Reducing Resource Contention in SMT Processors. - Tanausú Ramírez; Alex Pajuelo; Oliverio J. Santana; Mateo Valero (PACT, 2007)

FAME: FAirly MEasuring Multithreaded Architectures. - Javier Vera; Francisco J. Cazorla; Alex Pajuelo; Oliverio J. Santana; Enrique Fernández; Mateo Valero (PACT, 2007)

Energy saving through a simple load control mechanism. - Tanausú Ramírez; Alex Pajuelo; Oliverio J. Santana; Mateo Valero (SIGARCH Comput. Archit. News, 2007)

Enlarging Instruction Streams. - Oliverio J. Santana; Alex Ramírez; Mateo Valero (IEEE Trans. Computers, 2007)

LPA: A First Approach to the Loop Processor Architecture. - Alejandro García; Oliverio J. Santana; Enrique Fernández; Pedro Medina; Mateo Valero (HiPEAC, 2008)

Runahead Threads to improve SMT performance. - Tanausú Ramírez; Alex Pajuelo; Oliverio J. Santana; Mateo Valero (HPCA, 2008)

Code Semantic-Aware Runahead Threads. - Tanausú Ramírez; Alex Pajuelo; Oliverio J. Santana; Mateo Valero (ICPP, 2009)

DIA: A Complexity-Effective Decoding Architecture. - Oliverio J. Santana; Ayose Falcón; Alex Ramírez; Mateo Valero (IEEE Trans. Computers, 2009)

Efficient runahead threads. - Tanausú Ramírez; Alex Pajuelo; Oliverio J. Santana; Onur Mutlu; Mateo Valero (PACT, 2010)

On the Problem of Evaluating the Performance of Multiprogrammed Workloads. - Francisco J. Cazorla; Alex Pajuelo; Oliverio J. Santana; Enrique Fernández; Mateo Valero (IEEE Trans. Computers, 2010)

Author retrospective for software trace cache. - Alex Ramírez; Ayose Falcón; Oliverio J. Santana; Mateo Valero (ICS 25th Anniversary, 2014)

Neural Network Training for the Detection and Classification of Oceanic Mesoscale Eddies. - Oliverio J. Santana; Daniel Hernández-Sosa; Jeffrey Martz; Ryan N. Smith (Remote. Sens., 2020)

Towards cumulative race time regression in sports: I3D ConvNet transfer learning in ultra-distance running events. - David Freire-Obregón; Javier Lorenzo-Navarro; Oliverio J. Santana; Daniel Hernández-Sosa; Modesto Castrillón Santana (ICPR, 2022)

Boosting Re-identification in the Ultra-running Scenario. - Miguel Angel Medina; Javier Lorenzo-Navarro; David Freire-Obregón; Oliverio J. Santana; Daniel Hernández-Sosa; Modesto Castrillón Santana (ICPRAM, 2022)

Exploiting Temporal Coherence to Improve Person Re-identification. - Oliverio J. Santana; Javier Lorenzo-Navarro; David Freire-Obregón; Daniel Hernández-Sosa; José Isern González; Modesto Castrillón Santana (ICPRAM (Revised Selected Papers), 2022)

Oceanic mesoscale eddy detection and convolutional neural network complexity. - Oliverio J. Santana; Daniel Hernández-Sosa; Ryan N. Smith (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Evaluation of a Visual Question Answering Architecture for Pedestrian Attribute Recognition. - Modesto Castrillón Santana; Elena Sánchez-Nielsen; David Freire-Obregón; Oliverio J. Santana; Daniel Hernández-Sosa; Javier Lorenzo-Navarro (CAIP (1), 2023)

A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point. - David Freire-Obregón; Javier Lorenzo-Navarro; Oliverio J. Santana; Daniel Hernández-Sosa; Modesto Castrillón Santana (IJCB, 2023)

Towards Facial Expression Robustness in Multi-scale Wild Environments. - David Freire-Obregón; Daniel Hernández-Sosa; Oliverio J. Santana; Javier Lorenzo-Navarro; Modesto Castrillón Santana (ICIAP (1), 2023)

A Large-scale Analysis of Athletes' Cumulative Race Time in Running Events. - David Freire-Obregón; Javier Lorenzo-Navarro; Oliverio J. Santana; Daniel Hernández-Sosa; Modesto Castrillón Santana (ICIAP (1), 2023)

Deep Learning for Diagonal Earlobe Crease Detection. - Sara L. Almonacid-Uribe; Oliverio J. Santana; Daniel Hernández-Sosa; David Freire-Obregón (ICPRAM, 2023)

Exploring Data Augmentation Strategies for Diagonal Earlobe Crease Detection. - Sara L. Almonacid-Uribe; Oliverio J. Santana; Daniel Hernández-Sosa; David Freire-Obregón (ICPRAM (Revised Selected Papers), 2023)

Evaluating the Impact of Low-Light Image Enhancement Methods on Runner Re-Identification in the Wild. - Oliverio J. Santana; Javier Lorenzo-Navarro; David Freire-Obregón; Daniel Hernández-Sosa; Modesto Castrillón Santana (ICPRAM, 2023)

Improving Person Re-identification Through Low-Light Image Enhancement. - Oliverio J. Santana; Javier Lorenzo-Navarro; David Freire-Obregón; Daniel Hernández-Sosa; Modesto Castrillón Santana (ICPRAM (Revised Selected Papers), 2023)

An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment. - David Freire-Obregón; Javier Lorenzo-Navarro; Oliverio J. Santana; Daniel Hernández-Sosa; Modesto Castrillón Santana (MVA, 2023)

Facial expression analysis in a wild sporting environment. - Oliverio J. Santana; David Freire-Obregón; Daniel Hernández-Sosa; Javier Lorenzo-Navarro; Elena Sánchez-Nielsen; Modesto Castrillón Santana (Multim. Tools Appl., 2023)

Towards Bi-Hemispheric Emotion Mapping Through EEG: A Dual-Stream Neural Network Approach. - David Freire-Obregón; Daniel Hernández-Sosa; Oliverio J. Santana; Javier Lorenzo-Navarro; Modesto Castrillón Santana (FG, 2024)

An Evaluation of General-Purpose Optical Character Recognizers and Digit Detectors for Race Bib Number Recognition. - Modesto Castrillón Santana; David Freire-Obregón; Daniel Hernández-Sosa; Oliverio J. Santana; Francisco Ortega-Zamorano; José Isern González; Javier Lorenzo-Navarro (ICPRAM, 2024)

Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action. - Javier Torón-Artiles; Daniel Hernández-Sosa; Oliverio J. Santana; Javier Lorenzo-Navarro; David Freire-Obregón (ICPRAM, 2024)

Applying deep learning image enhancement methods to improve person re-identification. - Oliverio J. Santana; Javier Lorenzo-Navarro; David Freire-Obregón; Daniel Hernández-Sosa; Modesto Castrillón Santana (Neurocomputing, 2024)

Visual Question Answering Models for Zero-Shot Pedestrian Attribute Recognition: A Comparative Study. - Modesto Castrillón Santana; Elena Sánchez-Nielsen; David Freire-Obregón; Oliverio J. Santana; Daniel Hernández-Sosa; Javier Lorenzo-Navarro (SN Comput. Sci., 2024)

An Evaluation of a Visual Question Answering Strategy for Zero-shot Facial Expression Recognition in Still Images. - Modesto Castrillón Santana; Oliverio J. Santana; David Freire-Obregón; Daniel Hernández-Sosa; Javier Lorenzo-Navarro (CoRR, 2025)

Predicting Soccer Penalty Kick Direction Using Human Action Recognition. - David Freire-Obregón; Oliverio J. Santana; Javier Lorenzo-Navarro; Daniel Hernández-Sosa; Modesto Castrillón Santana (CoRR, 2025)