A similarity measure between vector sequences with application to handwritten word image retrieval. - José A. Rodríguez-Serrano; Florent Perronnin; Josep Lladós 001; Gemma Sánchez (CVPR, 2009)

Fisher Kernels for Handwritten Word-spotting. - Florent Perronnin; José A. Rodríguez-Serrano (ICDAR, 2009)

Handwritten Word Image Retrieval with Synthesized Typed Queries. - José A. Rodríguez-Serrano; Florent Perronnin (ICDAR, 2009)

Handwritten word-spotting using hidden Markov models and universal vocabularies. - José A. Rodríguez-Serrano; Florent Perronnin (Pattern Recognit., 2009)

Unsupervised writer adaptation of whole-word HMMs with application to word-spotting. - José A. Rodríguez-Serrano; Florent Perronnin; Gemma Sánchez; Josep Lladós 001 (Pattern Recognit. Lett., 2010)

Pattern Recognition in Transportation. - José A. Rodríguez-Serrano (CIARP, 2012)

Leveraging category-level labels for instance-level image retrieval. - Albert Gordo; José A. Rodríguez-Serrano; Florent Perronnin; Ernest Valveny (CVPR, 2012)

Data-Driven Vehicle Identification by Image Matching. - José A. Rodríguez-Serrano; Harsimrat Sandhawalia; Raja Bala; Florent Perronnin; Craig Saunders (ECCV Workshops (2), 2012)

Image simulation for automatic license plate recognition. - Raja Bala; Yonghui Zhao; Aaron Burry; Vladimir Kozitsky; Claude Fillion; Craig Saunders; José A. Rodríguez-Serrano (Visual Information Processing and Communication, 2012)

Trajectory clustering in CCTV traffic videos using probability product kernels with hidden Markov models. - José A. Rodríguez-Serrano; Sameer Singh 002 (Pattern Anal. Appl., 2012)

A Model-Based Sequence Similarity with Application to Handwritten Word Spotting. - José A. Rodríguez-Serrano; Florent Perronnin (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Synthesizing queries for handwritten word image retrieval. - José A. Rodríguez-Serrano; Florent Perronnin (Pattern Recognit., 2012)

Label embedding for text recognition. - José A. Rodríguez-Serrano; Florent Perronnin (BMVC, 2013)

Predicting an Object Location Using a Global Image Representation. - José A. Rodríguez-Serrano; Diane Larlus (ICCV, 2013)

Practical methods for sparsity based video anomaly detection. - Xuan Mo; Vishal Monga; Raja Bala; José A. Rodríguez-Serrano; Zhigang Fan 001; Aaron M. Burry (ITSC, 2013)

Vehicle type classification from laser scanner profiles: A benchmark of feature descriptors. - Harsimrat Sandhawalia; José A. Rodríguez-Serrano; Hervé Poirier; Gabriela Csurka (ITSC, 2013)

Robust abandoned object detection integrating wide area visual surveillance and social context. - James M. Ferryman; David C. Hogg; Jan Sochman; Ardhendu Behera; José A. Rodríguez-Serrano; Simon F. Worgan; Longzhen Li; Valerie Leung; Murray Evans; Philippe Cornic; Stéphane Herbin; Stefan Schlenger; et al. (Pattern Recognit. Lett., 2013)

Vehicle type classification from laser scans with global alignment kernels. - Boris Chidlovskii; Gabriela Csurka; José A. Rodríguez-Serrano (ITSC, 2014)

Self-Learning Camera: Autonomous Adaptation of Object Detectors to Unlabeled Video Streams. - Adrien Gaidon; Gloria Zen; José A. Rodríguez-Serrano (CoRR, 2014)

Label Embedding: A Frugal Baseline for Text Recognition. - José A. Rodríguez-Serrano; Albert Gordo; Florent Perronnin (Int. J. Comput. Vis., 2015)

Data-Driven Detection of Prominent Objects. - José A. Rodríguez-Serrano; Diane Larlus; Zhenwen Dai (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Unsupervised Fisher Vector Adaptation for Re-identification. - Usman Tariq; José A. Rodríguez-Serrano; Florent Perronnin (Domain Adaptation in Computer Vision Applications, 2017)

Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series. - Axel Brando; José A. Rodríguez-Serrano; Mauricio Ciprian; Roberto Maestre; Jordi Vitrià (ECML/PKDD (3), 2018)

client2vec: Towards Systematic Baselines for Banking Applications. - Leonardo Baldassini; Jose Antonio Rodríguez Serrano (CoRR, 2018)

Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians. - Axel Brando; José A. Rodríguez-Serrano; Jordi Vitrià; Alberto Rubio (NeurIPS, 2019)

Building Uncertainty Models on Top of Black-Box Predictive APIs. - Axel Brando; Damià Torres; José A. Rodríguez-Serrano; Jordi Vitrià (IEEE Access, 2020)

Machine Learning in Finance. - Senthil Kumar; Leman Akoglu; Nitesh V. Chawla; José A. Rodríguez-Serrano; Tanveer A. Faruquie; Saurabh Nagrecha (KDD, 2021)

Deep Non-crossing Quantiles through the Partial Derivative. - Axel Brando; Joan Gimeno; José A. Rodríguez-Serrano; Jordi Vitrià (AISTATS, 2022)

Machine Learning in Finance. - Leman Akoglu; Nitesh V. Chawla; Josep Domingo-Ferrer; Eren Kurshan; Senthil Kumar; Vidyut M. Naware; José A. Rodríguez-Serrano; Isha Chaturvedi; Saurabh Nagrecha; Mahashweta Das; Tanveer A. Faruquie (KDD, 2024)

Prototype-based learning for real estate valuation: a machine learning model that explains prices. - José A. Rodríguez-Serrano (Ann. Oper. Res., 2025)