Publications by José Ramón Herrero

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Details up to 2012 are provided as BibTex entries to ease reference of the corresponding publications:Bibtex File

Information about related talks can be found following the link to related talks

Books

• José Ramón Herrero Zaragoza, Teodor Jové Lagunas, Josep Lluís Marzo i Lázaro, Enric Morancho Llena, Dolors Royo Vallés. Sistemes operatius. Barcelona: Universitat Oberta de Catalunya, 2010 ISBN 978-84-693-4228-2 (ISBN for the Spanish Edition: 978-84-693-4229-9)
• A. Pajuelo, D. López, A. Millán, A. Heredero, A. Duran, J. R. Herrero, X. Verdú, Y. Becerra, E. Morancho. Sistemes Operatius. Quadern de Laboratori. 1 ed. Barcelona, 2008. ISBN: 978-84-612-1002-2
• A. Duran, J.R. Herrero, A. Pajuelo, D. López. Sistemes Operatius. Conceptes Bàsics. 1 ed. Barcelona, 2007. ISBN: 978-84-611-7256-6
• J.R. Herrero, X. Martorell and J Torres. Conceptes Avançats de Sistemes Operatius. 1 ed. Barcelona: Edicions UPC: Edicions Virtuals. 232 p., 2000. ISBN: 84-8301-439-4 (pdf)

• PhD Thesis

  José R. Herrero. A Framework for Efficient Execution of Matrix Computations. PhD thesis, Universitat Politècnica de Catalunya (UPC), July 2006. Advisor: Juan J. Navarro. ISBN: 84-690-2494-9 (pdf)

• Advisor of PhD Thesis

  Óscar Peredo Andrade. Large Scale Geostatistics with Locally Varying Anisotropy. PhD thesis, Universitat Politècnica de Catalunya (UPC), June 2022. Advisor: José R. Herrero. (pdf)
  
  Nima Sahraneshinsamani. Exploiting Mixed Precision for High Performance Computing and Fault Tolerance. PhD thesis, Universitat Politècnica de Catalunya (UPC), Expected 2026. Advisors: Sandra Catalán and José R. Herrero
  
  Diego Marrón Vida. Improving Decision Tree and Neural Network Learning for Evolving Data-streams. PhD thesis, Universitat Politècnica de Catalunya (UPC), December 2019. Advisors: Eduard Ayguadé,  José R. Herrero and Albert Bifet. (pdf)

Book Chapters

• José R. Herrero and Juan J. Navarro. Advances in Sparse Hypermatrix Cholesky Factorization. In Recent Advances in Engineering and Computer Science, pp. 7-24, Newswood Limited, Int. Association of Engineers, 2007. ISBN: 978-988-98671-1-9 (pdf)

Journal and Conference Proceedings

• Héctor Martínez, R. Rodríguez-Sánchez, Adrián Castelló, J. R. Herrero and E. S. Quintana-Ortí.  Inference Acceleration for Graph Convolutional Networks on RISC-V Systems. Under review (2026). SSRN prepint: https://doi.org/10.2139/ssrn.6225887
• Nima Sahraneshinsamani, S. Catalán, and J. R. Herrero. Exploiting Mixed-Precision Redundancy for Soft-Error Detection in LU Decomposition. In Journal of Supercomputing. Volume 82, article number 336, (2026). DOI: 10.1007/s11227-026-08413-9
• Héctor Martínez, S. Catalán, F. D. Igual, J. R. Herrero, R. Rodríguez, E. S. Quintana.  Cache-Aware Optimization of Matrix Multiplication and Matrix Factorizations on Multicore Processors. Cluster Comput 28, 779 (2025). https://doi.org/10.1007/s10586-025-05426-6 .
• Nima Sahraneshinsamani, S. Catalán, and J. R. Herrero. Mixed-Precision Pre-Pivoting Strategy for the LU Factorization. In Journal of Supercomputing Vol. 81, article 87 (2025). https://doi.org/10.1007/s11227-024-06523-w
• S. Catalán, F. D. Igual, R. Rodríguez, J. R. Herrero, E. S. Quintana. Programming Parallel Dense Matrix Factorizations and Inversion for New-Generation NUMA Architectures. In Journal of Parallel and Distributed Computing, Volume 175, May 2023, Pages 51-65. 2023. https://doi.org/10.1016/j.jpdc.2023.01.004
• S. Catalán, F. D. Igual, R. Rodríguez, J. R. Herrero, E. S. Quintana. NUMA-Aware Dense Matrix Factorizations and Inversion with Look-Ahead on Multicore Processors. In The 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (IEEE SBAC-PAD), 2022, pp. 91-99, DOI: 10.1109/SBAC-PAD55451.2022.00020
• Sandra Catalán, José R. Herrero, Francisco D. Igual, Enrique S. Quintana-Ortí and Rafael Rodríguez-Sánchez. Fine-Grain Task-Parallel Algorithms for Matrix Factorizations and Inversion on Many-Threaded CPUs.  In Concurrency and Computation: Practice and Experience, 2022; e6999. DOI: 10.1002/cpe.6999.
• Oscar F. Peredo and José R. Herrero. Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios. In Computers & Geosciences, Volume 160, March 2022, 105027. https://doi.org/10.1016/j.cageo.2021.105027
• Filipe Magalhães, José Monteiro, Juan A. Acebrón and José R. Herrero. A Distributed Monte Carlo Based Linear Algebra Solver Applied to the Analysis of Large Complex Networks. In Future Generation Computer Systems, Volume 127, February 2022, Pages 320-330. https://doi.org/10.1016/j.future.2021.09.014. This paper was acknowledged as an Editor's choice paper in Fall 2023.
• Oscar F. Peredo and José R. Herrero. Hybrid CUDA/OpenMP Acceleration of Semivariogram Computation. In preparation for publication.
• S. Catalán, F. D. Igual, R. Rodríguez, J. R. Herrero, E. S. Quintana. A new generation of task-parallel algorithms for matrix inversion in many-threaded CPUs. In 12th International Workshop on Programming Models and Applications for Multicores and Manycores -- PMAM 2021, February 2021, pages 1-10. ACM ISBN 978-1-4503-8348-6/21/02. https://doi.org/10.1145/3448290.3448563
• Pedro Alonso-Jordá, Davor Davidović, Marin Sapunar, José R. Herrero and Enrique S. Quintana-Ortí. Efficient update of determinants for many-electron wave function overlaps. In Computer Physics Communications. Volume 258, January 2021. DOI: 10.1016/j.cpc.2020.107521
• Juan A. Acebrón, José R. Herrero and José Monteiro. A highly parallel algorithm for computing the action of a matrix exponential on a vector based on a multilevel Monte Carlo method. In Computers and Mathematics with Applications. 2020. Volume 79, Issue 12, 15 June 2020, Pages 3495-3515.  https://doi.org/10.1016/j.camwa.2020.02.013 Previous draft at arXiv:1904.12754
• Diego Marrón, Eduard Ayguadé, José R. Herrero and Albert Bifet. Resource-aware Elastic Swap Random Forest for Evolving Data Streams. arXiv:1905.05881.
• Rafael Rodríguez-Sánchez, Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí and Andrés E. Tomás. Look-ahead in the two-sided reduction to compact band forms for symmetric eigenvalue problems and the SVD. In Numerical Algorithms, Vol 80, Issue 2, Pages 635-660, Feb 2019. DOI: 10.1007/s11075-018-0500-8. Previous draft: arXiv:1709.00302
• Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez, Robert van de Geijn. A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization with Partial Pivoting. IEEE Access, Vol. 7, Issue 1, Pages 17617-17633, Jan. 2019. DOI: 10.1109/ACCESS.2019.2895541
• Pedro Alonso, Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez. Two-sided Orthogonal Reductions to Condensed Forms on Asymmetric Multicore Processors. In Parallel Computing, Volume 78, Pages 85-100, October 2018. DOI: 10.1016/j.parco.2018.03.005
• Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez. Static  scheduling  of  the  LU  factorization  with  look-ahead  on asymmetric  multicore  processors. In Parallel Computing, Volume 76, August 2018, Pages 18-27. https://doi.org/10.1016/j.parco.2018.04.006
• Fermín Sánchez, Joan Climent, Julita Corbalán, Pau Fonseca, Jordi Garcia, José R. Herrero, Horacio Rodríguez, Maria-Ribera Sancho. A Proposal to Develop and Assess Professional Skills in Engineering Final Year Projects. In International Journal of Engineering Education, Vol. 34, No 2(A), pp 1-14, 2018. PDF.
• Sandra Catalán, José R. Herrero, Francisco D. Igual, Rafael Rodríguez-Sánchez and Enrique S. Quintana-Ortí. Multi-Threaded Dense Linear Algebra Libraries for Low-Power Asymmetric Multicore Processors. In Journal of Computational Science, Volume 25, March 2018, Pages 140-151. DOI: 10.1016/j.jocs.2016.10.020 Previous draft: arXiv:1511.02171
• Oscar Peredo, Daniel Baeza, Julián M. Ortiz, José R. Herrero. A Path-Level Exact Parallelization Strategy for Sequential Simulation. In Computers & Geosciences, Volume 110, Issue Supplement C, Pages 10-22, January 2018. DOI: 10.1016/j.cageo.2017.09.011.
• Diego Marrón, Eduard Ayguadé, José R. Herrero, Jesse Read, and Albert Bifet. Low-latency Multi-threaded Ensemble Learning for Dynamic Big Data Streams. In 2017 IEEE International Conference on Big Data (Big Data), pages 223-232, Dec 2017. Acceptance rate of 18%. DOI: 10.1109/BigData.2017.8257930.
• Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez. Energy Balance between Voltage-Frequency Scaling and Resilience for Linear Algebra Routines on Low-Power Multicore Architectures. In Parallel Computing, Volume 73, pages 28-39, April 2018.  DOI: 10.1016/j.parco.2017.05.004
• Sandra Catalán, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí and José R. Herrero. Static Versus Dynamic Task Scheduling of the LU Factorization on ARM big.LITTLE Architectures.  In 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Lake Buena Vista, FL, 2017, pp. 733-742. [Proceedings of 7th Int. Workshop on Accelerators and Hybrid Exascale Systems (AsHES 2017)]. DOI: 10.1109/IPDPSW.2017.10
• Pedro Alonso, Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez. Reduction to Tridiagonal Form for Symmetric Eigenproblems on Asymmetric Multicore Processors. In Proceedings of the 8th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM 2017), Pages 39-47, Austin, TX, USA, February, 2017. DOI: 10.1145/3026937.3026938
• Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguade and José R. Herrero. Echo State Hoeffding Tree Learning. In Proceedings of The 8th Asian Conference on Machine Learning (PMLR) 63:382-397, 2016. On-line
• Oscar Peredo, Julián M. Ortiz and José R. Herrero. Acceleration of the Geostatistical Software Library (GSLIB) by Code Optimization and Hybrid Parallel Programming. In Computers & Geosciences, Volume 85, Issue Part A, Pages 210-233, December 2015. DOI: 10.1016/j.cageo.2015.09.016
• Eduard Ayguade, Rosa M. Badia, Daniel Jimenez, Jose R. Herrero, Jesus Labarta, Vladimir Subotic and Gladys Utrera Tareador: a tool to unveil parallelization strategies at undergraduate level. In Workshop on Computer Architecture Education. Held in conjunction with the 42nd International Symposium on Computer Architecture. Portland, OR. June 2015. Paper at WCAE/ISCA2015
• Paolo Bientinesi, José R. Herrero, Enrique S. Quintana-Ortí and Robert Strzodka. Parallel Computing on Graphics Processing Units and Heterogeneous Platforms. In Concurrency and Computation: Practice and Experience, Volume 27, Issue 6, pages 1525–1527, April 2015. DOI: 10.1002/cpe.3411
• Fermín Sánchez, Joan Climent, Julita Corbalán, Pau Fonseca, Jordi Garcia, José R. Herrero, Xavier Llinàs, Horacio Rodríguez, Maria-Ribera Sancho, Marc Alier, Jose Cabré and David López. Evaluation and Assessment of Professional Skills in the Final Year Project. In 44th Annual Frontiers in Education Conference (FIE 2014), Madrid, Spain, pp: 1-8, Madrid, Spain. October 2014, ISBN: 978-1-4799-3922-0. DOI: 10.1109/FIE.2014.7044378
• Oscar Peredo, Julián M. Ortiz, José R. Herrero, Cristóbal Samaniego. Tuning and hybrid parallelization of a genetic-based multi-point statistics simulation code. In Parallel Computing, Volume 40, Issues 5–6, Pages 144–158, May 2014. DOI: 10.1016/j.parco.2014.04.005
• Fred G. Gustavson, José R. Herrero, Enric Morancho. A Square Block Format for Symmetric Band Matrices. In Proc. of Parallel Processing and Applied Mathematics 2013 (PPAM'13), LNCS 8384, pp. 683-689. Post-conference proceedings published in 2014. DOI: 10.1007/978-3-642-55224-3_64
• Margarita Amor, Ramón Doallo, Basilio B. Fraguela, José R. Herrero, Enrique S. Quintana-Ortí and Robert Strzodka. Graphics processing unit computing and exploitation of hardware accelerators.  In Concurrency and Computation: Practice and Experience, Vol. 25, No. 8, pp. 1104-1106, June 2013.  DOI: 10.1002/cpe.2967
• Fred G. Gustavson, Jerzy Wasniewski, Jack J. Dongarra, José R. Herrero and Julien Langou. Level-3 Cholesky Factorization Routines Improve Performance of Many Cholesky Algorithms. In ACM Transactions on Mathematical Software (TOMS), Vol. 39, No. 2, Article 9, February 2013. DOI: 10.1145/2427023.2427026. An extended version can be retrieved as LAPACK Working Note 249 from LAWN 249.
• Miquel Grau-Sánchez, Miquel Noguera, Àngela Grau, José R. Herrero. On new computational local orders of convergence. In Applied Mathematics Letters, Volume 25, Issue 12, Pages 2023–2030, December 2012. DOI: http://dx.doi.org/10.1016/j.aml.2012.04.012. An extended version can be retrieved as a Technical Report from arXiv:1202.4236v1.
• Fred G. Gustavson, Jerzy Wasniewski, José R. Herrero. New Level-3 BLAS Kernels for Cholesky Factorization. In Proc. 9th Int. Conf. on Parallel Processing and Applied Mathematics (PPAM'11). Springer Lecture Notes in Computer Science (LNCS), Volume 7203, pp. 60-69, 2012.DOI: 10.1007/978-3-642-31464-3_7.
• José R. Herrero, Enrique S. Quintana-Ortí, Robert Strzodka. Special Issue: GPU computing. In Concurrency and Computation: Practice and Experience, vol. 23(7): pp. 667-668, 2011.DOI: http://dx.doi.org/10.1002/cpe.1691.
• Rosa M. Badia, José R. Herrero, Jesus Labarta, Josep M. Perez, Enrique S. Quintana-Ortí and Gregorio Quintana-Ortí. Parallelizing Dense and Banded Linear Algebra Libraries using SMPSs. Concurrency and Computation: Practice and Experience. Volume 21, Issue 18, pp 2438-2456, (25 December 2009). DOI: 10.1002/cpe.1463, Also available as a Research Report: UPC-DAC-RR-2008-64, October, 2008.
• José R. Herrero and Juan J. Navarro. Hypermatrix Oriented Supernode Amalgamation. In Journal of Supercomputing, Volume 46 Number 1, pp. 84-104, October 2008. DOI: 10.1007/s11227-008-0188-y. The original publication is available at http://www.springerlink.com.
• David López, José R. Herrero, Alex Pajuelo and Alex Duran. A Proposal for Continuous Assessment at Low Cost. In 2007 ASEE/IEEE Frontiers in Education Conference (FIE 2007), pp. T1G1 - T1G6, Milwaukee, Wisconsin, USA, October 10-13, 2007. Digital Object Identifier: 10.1109/FIE.2007.4417840
  The original publication is available at IEEE Xplore.
• José R. Herrero. New Data Structures for Matrices and Specialized Inner Kernels: Low overhead for High Performance In Proc. Int. Conf. on Parallel Processing and Applied Mathematics (PPAM'07), LNCS 4967, pp. 659-667 , Sept. 2007. (pdf) (Post-conference proceedings, Sept. 8-12, 2007, Gdansk, Poland) DOI: 10.1007/978-3-540-68111-3_69. The original publication is available at http://www.springerlink.com. Direct link with DOI: 10.1007/978-3-540-68111-3_69
• José R. Herrero and Juan J. Navarro. Analysis of a Sparse Hypermatrix Cholesky with Fixed-Sized Blocking. In Journal Applicable Algebra in Engineering, Communication and Computing, 18 (3), pages 279-295, 2007. DOI: 10.1007/s00200-007-0039-8. The original publication is available at http://www.springerlink.com. Direct link with DOI: 10.1007/s00200-007-0039-8
• José R. Herrero and Juan J. Navarro. Exploiting computer resources for fast Nearest Neighbor Classification. In Journal Pattern Analysis and Applications, 10 (4), pp. 265-275. 2007. DOI: 10.1007/s10044-007-0065-y. The original publication is available at http://www.springerlink.com. Direct link with DOI: 10.1007/s10044-007-0065-y
• José R. Herrero and Juan J. Navarro. Sparse Hypermatrix Cholesky: Customization for High Performance. In IAENG International Journal of Applied Mathematics, 36:1, pages 6-12, 2007. (An enhanced version of paper in IMECS'06). Direct link to original publication.
• José R. Herrero and Juan J. Navarro. A Framework for Accurate Measurements with Low Resolution Clocks. In The 10th IASTED International Conference on Software Engineering and Applications (SEA 2006), pp. 228-232 , Dallas, Texas, USA, November 13-15, 2006. (pdf)
• José R. Herrero and Juan J. Navarro. Sparse Hypermatrix Cholesky: Customization for High Performance. In International MultiConference of Engineers and Computer Scientists (IMECS 2006), pp. 821-827, June 2006. (pdf)

  
  

  • Awarded with The Certificate of Merit for The 2006 IAENG International Workshop on Scientific Computing and Computational Statistics.
• José R. Herrero and Juan J. Navarro. Using non-canonical array layouts in dense matrix operations. In Workshop on state-of-the-art in scientific computing (PARA'06), LNCS 4699, pp. 580-588, June 18-21, 2006, Umea, Sweden. DOI: 10.1007/978-3-540-75755-9_70. Post-conference proceedings. (pdf) The original publication is available at http://www.springerlink.com Direct link with DOI: 10.1007/978-3-540-75755-9_70
• José R. Herrero and Juan J. Navarro. Compiler-Optimized Kernels: An Efficient Alternative to Hand-Coded Inner Kernels. In International Conference on Computational Science and its Applications (ICCSA 2006), LNCS 3984, pp. 762-771, May 2006. DOI: 10.1007/11751649_84. (pdf) The original publication is available at http://www.springerlink.com
• José R. Herrero and Juan J. Navarro. Adapting Linear Algebra Codes to the Memory Hierarchy Using a Hypermatrix Scheme. In Proc. Int. Conf. on Parallel Processing and Applied Mathematics (PPAM'05). LNCS 3911, pp. 1058-1065, June 2006. DOI: 10.1007/11752578_128. (pdf) The original publication is available at http://www.springerlink.com
• José R. Herrero and Juan J. Navarro. A Study on Load Imbalance in Parallel Hypermatrix Multiplication using OpenMP. In Proc. Int. Conf. on Parallel Processing and Applied Mathematics (PPAM'05). LNCS 3911, pp. 124-131, June 2006. DOI: 10.1007/11752578_16. (pdf) The original publication is available at http://www.springerlink.com
• José R. Herrero and Juan J. Navarro. Intra-Block Amalgamation in Sparse Hypermatrix Cholesky Factorization. In International Conference on Computational Science and Engineering (ICCSE 2005), pp. 15-22, June 2005. (pdf)
• José R. Herrero and Juan J. Navarro. Efficient Implementation of Nearest Neighbor Classification. In International Conference on Computer Recognition Systems (CORES 2005), pp. 177-186, May 2005. DOI: 10.1007/3-540-32390-2_19. (pdf) The original publication is available at http://www.springerlink.com. Direct link
  • Awarded with Best presentation distinction.
• José R. Herrero and Juan J. Navarro. Reducing Overhead in Sparse Hypermatrix Cholesky Factorization. In IFIP TC5 Workshop on High Performance Computational Science and Engineering (HPCSE'04), World Computer Congress pp. 143-154 , Toulouse, France, August, 2004. DOI: 10.1007/0-387-24049-7_8. (pdf) The original publication is available at http://www.springerlink.com. Direct link
• José R. Herrero and Juan J. Navarro. Optimization of a Statically Partitioned Sparse Hypermatrix Cholesky Factorization. In Workshop on state-of-the-art in scientific computing (PARA'04), pp. 798-807, 2004. DOI: 10.1007/11558958_96. (pdf) The original publication is available at http://www.springerlink.com
• José R. Herrero and Juan J. Navarro. Improving Performance of Hypermatrix Cholesky Factorization. In 9th International Euro-Par Conference, pp. 461-469, August 2003. (pdf) The original publication is available at http://www.springerlink.com
• José R. Herrero and Juan J. Navarro. Building Software via Shared Knowledge. In The 2003 International Conference on Software Engineering Research and Practice, pp. 861-867, June 2003. (pdf)
• José R. Herrero and Juan J. Navarro. Automatic Benchmarking and Optimization of Codes: an Experience with Numerical Kernels. In The 2003 International Conference on Software Engineering Research and Practice, pp. 701-706, June 2003. (pdf)
• José R. Herrero and David Benlliure. Operating System Support for Process Confinement. In International Conference on Security and Management, pp. 421-425, June 2003. (pdf)
• Juan J. Navarro, Elena García and José R. Herrero. Data Prefetching and Multilevel Blocking for Linear Algebra Operations. In International Conference on Supercomputing (ICS'96), pp. 109-116, May 1996. (Compressed PostScript) Direct link with DOI: http://doi.acm.org/10.1145/237578.237592

Papers accepted for publication in Proceedings which never came out (blame the conference organizer! :-( ) They can be retrieved as Research Reports

• José R. Herrero. Exposing Inner Kernels and Block Storage for Fast Parallel Dense Linear Algebra Codes. To appear in Proceeding of PARA'08. Research Report: UPC-DAC-RR-2008-63, May, 2008.

Spanish Conference Proceedings

• Pedro Alonso, Sandra Catalán, Luis Costero, José R. Herrero, Francisco D. Igual, Enrique S. Quintana-Ortı́, Katzalin Olcoz y Rafael Rodrı́guez-Sánchez. Bibliotecas de Álgebra Lineal Densa Conscientes de la Asimetrı́a del Procesador. Jornadas SARTECO 2017. Páginas 249-254.
• José R. Herrero, David López, Mercé Mora y Fermín Sánchez. Reevaluación selectiva dentro del período lectivo. Actas de las XX JENUI, Páginas: 329-336. Oviedo, 9-11 de julio 2014. Paper
• Fermín Sánchez, Joan Climent, Julita Corbalán, Pau Fonseca, Jordi García, José R. Herrero, Xavier Llinàs, Horacio Rodriguez y Maria Ribera Sancho. Evaluación del trabajo Final de Grado. In XIX Jornadas de Enseñanza Universitaria de la Informática, JENUI 2013. Páginas 303-310. Castelló de la Plana, Julio de 2013. ISBN: 978-84-695-8051-6. Paper
• Fermín Sánchez, María-Ribera Sancho, José R. Herrero. Organización y gestión de una titulación del EEES. In XVII Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2011), pp. 179-186, Julio 2011.
• David López, Alex Pajuelo, José R. Herrero and Alejandro Duran.Evaluación continuada sin morir en el intento. In XIII Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2007), pp. 172-178, Julio 2007.
• José R. Herrero and Juan J. Navarro. Building libraries for small matrix kernels. In XIII Jornadas de Paralelismo, pp. 235-238, September 2002.
• José R. Herrero and Juan J. Navarro. Nearest Neighbor Classification on a High Performance Workstation. In XII Jornadas de Paralelismo, pp. 257-263, September 2001.
• José R. Herrero. Automatización de la recepción, clasificación y respuesta de prácticas y trabajos de asignaturas. In VI Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2000), pp. 413-417, September 2000.

Previous work

• José R. Herrero. Context Usage and Maintenance for Ellipsis and Anaphora Resolution. Final Year Project at the Center for Computational Linguistics (CCL), UMIST, UK, 1993 (Compressed PostScript)

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Last update Nov. 13th, 2024.