Fast Skeletonization of Spatially Encoded Objects. - Francisco Romero; Lluís Ros; Federico Thomas (ICPR, 2000)

Extending direct manipulation in a text editor. - David G. Novick; Francisco Romero; Edgar Rene Saenz; Armando Sandoval (SIGDOC, 2002)

Multi-Level Distributed Name Resolution System Based on Flat Identifiers. - Luis Loyola; Paulo Mendes 001; Francisco Romero; Monica Jimenez (GLOBECOM, 2008)

Predicting therapist empathy in motivational interviews using language features inspired by psycholinguistic norms. - James Gibson; Nikolaos Malandrakis; Francisco Romero; David C. Atkins; Shrikanth S. Narayanan (INTERSPEECH, 2015)

A Signal Separation Technique for Sub-Cellular Imaging Using Dynamic Optical Coherence Tomography. - Habib Ammari; Francisco Romero; Cong Shi 005 (Multiscale Model. Simul., 2017)

Mathematical Analysis of Ultrafast Ultrasound Imaging. - Giovanni S. Alberti; Habib Ammari; Francisco Romero; Timothée Wintz (SIAM J. Appl. Math., 2017)

Multiple Instance Learning for Behavioral Coding. - James Gibson; Athanasios Katsamanis; Francisco Romero; Bo Xiao 003; Panayiotis G. Georgiou; Shrikanth S. Narayanan (IEEE Trans. Affect. Comput., 2017)

Mage: online and interference-aware scheduling for multi-scale heterogeneous systems. - Francisco Romero; Christina Delimitrou (PACT, 2018)

Dynamic Spike Super-resolution and Applications to Ultrafast Ultrasound Imaging. - Giovanni S. Alberti; Habib Ammari; Francisco Romero; Timothée Wintz (CoRR, 2018)

Mage: Online Interference-Aware Scheduling in Multi-Scale Heterogeneous Systems. - Francisco Romero; Christina Delimitrou (CoRR, 2018)

Heat Generation with Plasmonic Nanoparticles. - Habib Ammari; Francisco Romero; Matias Ruiz (Multiscale Model. Simul., 2018)

A Case for Managed and Model-less Inference Serving. - Neeraja J. Yadwadkar; Francisco Romero; Qian Li 027; Christos Kozyrakis (HotOS, 2019)

From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers. - Sadjad Fouladi; Francisco Romero; Dan Iter; Qian Li 027; Shuvo Chatterjee; Christos Kozyrakis; Matei Zaharia; Keith Winstein (USENIX ATC, 2019)

INFaaS: Managed & Model-less Inference Serving. - Francisco Romero; Qian Li 027; Neeraja J. Yadwadkar; Christos Kozyrakis (CoRR, 2019)

Dynamic Spike Superresolution and Applications to Ultrafast Ultrasound Imaging. - Giovanni S. Alberti; Habib Ammari; Francisco Romero; Timothée Wintz (SIAM J. Imaging Sci., 2019)

Outsourcing Everyday Jobs to Thousands of Cloud Functions with gg. - Sadjad Fouladi; Francisco Romero; Dan Iter; Qian Li 027; Alex Ozdemir; Shuvo Chatterjee; Matei Zaharia; Christos Kozyrakis; Keith Winstein (login Usenix Mag., 2019)

The TRaCaR Ratio: Selecting the Right Storage Technology for Active Dataset-Serving Databases. - Francisco Romero; Benjamin Braun; David R. Cheriton (CoRR, 2020)

Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications. - Francisco Romero; Gohar Irfan Chaudhry; Iñigo Goiri; Pragna Gopa; Paul Batum; Neeraja J. Yadwadkar; Rodrigo Fonseca; Christos Kozyrakis; Ricardo Bianchini (SoCC, 2021)

Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. - Francisco Romero; Mark Zhao; Neeraja J. Yadwadkar; Christos Kozyrakis (SoCC, 2021)

Interference-Aware Scheduling for Inference Serving. - Daniel Mendoza; Francisco Romero; Qian Li 027; Neeraja J. Yadwadkar; Christos Kozyrakis (EuroMLSys@EuroSys, 2021)

INFaaS: Automated Model-less Inference Serving. - Francisco Romero; Qian Li 027; Neeraja J. Yadwadkar; Christos Kozyrakis (USENIX ATC, 2021)

VIVA: An End-to-End System for Interactive Video Analytics. - Daniel Kang; Francisco Romero; Peter D. Bailis; Christos Kozyrakis; Matei Zaharia (CIDR, 2022)

Optimizing Video Analytics with Declarative Model Relationships. - Francisco Romero; Johann Hauswald; Aditi Partap; Daniel Kang; Matei Zaharia; Christos Kozyrakis (Proc. VLDB Endow., 2022)

Zelda: Video Analytics using Vision-Language Models. - Francisco Romero; Caleb Winston; Johann Hauswald; Matei Zaharia; Christos Kozyrakis (CoRR, 2023)

A Generalized Conditional Gradient Method for Dynamic Inverse Problems with Optimal Transport Regularization. - Kristian Bredies; Marcello Carioni; Silvio Fanzon; Francisco Romero (Found. Comput. Math., 2023)

Model Selection for Latency-Critical Inference Serving. - Daniel Mendoza; Francisco Romero; Caroline Trippel (EuroSys, 2024)