Last 5 years:

1. J. Bermudez, P. Morales, H. Pempelfort, M. Araya and N. Jara. Understanding Deep Reinforcement Learning: Enhancing Explainable Decision-Making in Optical Networks. ICT Express. 2025 [Accepted] [WoS]

2. P. A. Stoller and M. Araya. A Transformer Approach for Predicting Transitions in Emotional Trajectory Directly from Music Audio. Neural Computing and Applications. Volume 37, pages 16427–16444. 2025 [ex-WoS - temporally delisted] 

3. M. González, R. E. Durán, M. Seeger, M. Araya and N. Jara. Negative dataset selection impacts machine learning-based predictors for multiple bacterial species promoters. Bioinformatics.  Volume 41, Issue 4. 2025 [WoS]

4. J. Sepúlveda, J. Parra, E. Ibarra, M. Araya, P. De La Cuadra and M Zañartu. Estimation of physiological vocal features from neck surface acceleration signals using Probabilistic Bayesian Neural Networks. IEEE Transactions on Audio, Speech and Language Processing, Volume 33, pp. 1576-1589, 14 pp. 2025 [WoS]

5. M. Mallea, R. Ñanculef, and M. Araya. Intramodal consistency in triplet-based cross-modal learning for image retrieval. Machine Learning Journal Vol 114 (110), Springer, 2025. [WoS]

6. M. Solar, V. Castañeda, J. Ñanculef, L. Dombrovskaia and M. Araya. A Data Ingestion Procedure, towards a Medical Images Repository. Sensors. Vol 24(15), 4985, MDPI, 2024. [WoS] 

7. A. Bulgarelli, F. Lucarelli,  G. Tosti, V. Conforti, N. Parmiggiani, J. H. Schwarze, J. G., Alvarez Gallardo, L. A. Antonelli, M. Araya, et al. The Software Architecture and development approach for the ASTRI Mini-Array gamma-ray air-Cherenkov experiment at the Observatorio del Teide. Journal of Astronomical Telescopes, Instruments, and Systems, Vol. 10, Issue 1, 017001, SDL 2024. [WoS] 

8. A. Cumsille, R. Durán, A. Rodríguez-Delherbe, V. Saona-Urmeneta, B. Cámara, M. Seeger, M. Araya, N. Jara, C. Buil-Aranda. GenoVi, an open-source automated circular genome visualizer for bacteria and archaea. PLOS Computational Biology. PLOS 2023 [WoS]

9. D. Hernandez, N. Jara, M. Araya, Roberto E. Durán, and C. Buil-Aranda, PromoterLCNN: A Light CNN-based Promoter Prediction and Classification model. Genes, Vol. 13(7), 1126, MDPI, 2022 [WoS] 

10. F. Mena, P. Olivares, M. Bugueño, G. Molina and M. Araya, On the Quality of Deep Representations for Kepler Light Curves Using Variational Auto-Encoders. Signals, 2, 706-728. MDPI 2021. [WoS-ESCI]

11. C.G. Sotomayor, M. Mendoza, V. Castañeda, H. Farías, G. Molina, G. Pereira, S. Härtel, M. Solar and M. Araya. Content-Based Medical Image Retrieval and Intelligent Interactive Visual Browser for Medical Education, Research and Care. In Diagnostics, Vol. 11(8):1470-, MDPI 2021. [WoS]

12. M. Bugueño, G. Molina, F. Mena, and M. Araya. Harnessing the power of CNNs for Light curves using Markov Transition Fields. Astronomy and Computing, 35: 100461, Elsevier 2021. [WoS]

More than 5 years:

13. H. Lehnert, M. Araya, R. Carrasco-Davis and M.J. Escobar. Bio-Inspired Deep Reinforcement Learning for Autonomous Navigation of Artificial Agents. IEEE Latin America Transactions, 2020, 17(12): 2037-2044, IEEE 2020. [WoS]

14. M. Villanueva, C. Torres, M. Araya and P. Amigo. Hdmclouds: A hierarchical decomposition of molecular clouds based on gaussian mixtures. Monthly Notices of the Royal Astronomical Society, 482(3):2878–2892, OUP 2019. [WoS]

15. M. Bugueño, F. Mena, and M. Araya. Classical machine learning techniques in the search of extrasolar planets. CLEI electronic journal, CLEI 2019. [SciELO]

16. M. Araya, M. Osorio, C. Ponce, M. Villanueva, C. Valenzuela, and M. Solar. Jovial: Notebook-based astronomical data analysis in the cloud. Astronomy and Computing, 25:110–117, Elsevier 2018.[WoS]

17. M. Araya, M. Mendoza, M. Solar, D. Mardones, and A. Bayo. Unsupervised learning of structure in spectroscopic cubes. Astronomy and Computing, 24C:25–35, Elsevier 2018. [WoS]

18. M. Araya, G. Candia, R. Gregorio, M. Mendoza, and M. Solar. Indexing data cubes for content-based searches in radio astronomy. Astronomy and Computing, 14:23 – 34, Elsevier 2016. [WoS]

19. M. Araya, M. Solar, and J. Antognini. A brief survey on the virtual observatory. New Astronomy, 39:46–54, Elsevier 2015. [WoS]

1. J. Guillen, V. Barriere, and M. Araya. AU-TextAlign: A Pipeline for Word-Level Facial Expression Tagging in LLMs. ICPRS 2025. [Accepted]  [SCOPUS]

2. J. De Ferrari, D. Benoit, R. Ñanculef, M. Araya and M. Solar. Assessing GPT as a Weak Oracle for Annotating Radiological Studies. 23rd International Conference on AI in Medicine. AIME 2025. [SCOPUS]

3. G. Aichele, R. Smith and M. Araya. Towards Reconstructing the Filamentary Structure of an Only Partially Visible Cosmic Web with Deep Learning and 3D Cosmological Simulations. To appear in ISCMI 2024.  [SCOPUS]

4. I. Roberts, R. Ñanculef and M. Araya. Recovering Latent Hierarchical Relationships in Image Datasets Through Hyperbolic Embeddings. To appear in CIARP 2024 [SCOPUS].

5. M. Solar, M. Araya, R. Ñanculef, L. Dombrovskaia, V. Castañeda, I. Roberts. ALPACS: Interoperable Repository of Medical Images. To appear in CLEI 2024 [SCOPUS]

6. J. Bermudez, M. Araya and N. Jara. Deciphering Deep Reinforcement Learning: Towards Explainable Decision-Making in Optical Networks. IEEE International Conference on High Performance Switching and Routing 2024, 2024. [SCOPUS]

7. M. Mallea, R. Nanculef, and M. Araya. Enhancing Intra-modal Similarity in a Cross-Modal Triplet Loss. In Discovery Science: 26th International Conference, DS 2023, Porto, Portugal, October 9–11, 2023, Proceedings. Springer-Verlag, Berlin, Heidelberg, 249–264. [SCOPUS]

8. D. Riquelme, M. Araya, M, S. Borquez, B. Panes and E. Carquin. (2023). Deep Learning Semi-Supervised Strategy for Gamma/Hadron Classification of Imaging Atmospheric Cherenkov Telescope Events. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM, ISBN 978-989-758-626-2; ISSN 2184-4313, pages 725-732. 2023 [SCOPUS]

9. G. Molina, M. Mendoza, I. Loayza, C. Nuñez, M. Araya, V. Castañeda and M. Solar. A new content-based image retrieval system for SARS-CoV-2 computer-aided diagnosis.  In International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2021, 2021. [SCOPUS]

More than 5 years:

10. M. Solar, M. Araya, J. Cockbaine and V. Castañeda. An interoperable repository of clinical data. Seventh International Conference on eDemocracy & eGovernment, ICEDEG 2020, pp. 287-290 2020.  [SCOUPS]

11. H. Lehnert, M.-J. Escobar, and M. Araya. Retina-inspired visual module for robot navigation in complex environments. In International Joint Conference on Neural Networks, IJCNN 2019, Budapest, Hungary, July 14-19, 2019, pages 1–8, 2019. [SCOPUS]

12. M. Araya, D. Arroyuelo, C. Saldías, and M. Solar. Compressed data structures for astronomical content-aware resource search. In International Conference of the Chilean Computer Science Society, SCCC 2019, 2019.

13. M. Bugueño, F. Mena, and M. Araya. Refining exoplanet detection using supervised learning and feature engineering. In XLIV Conferencia Latinoamericana de Informática. CLEI, 2018.

14. M. Araya, F. Casas, and R. Cáceres. Cherenkov shower detection combining probability distributions from convolutional neural networks. In Astronomical Data Analysis Software & Systems. ADASS, 2018. [NASA/ADS]

15. M. Villanueva, C. Valenzuela, M. Sánchez, and M. Araya. Wrapping and deploying legacy astronomical code into python environments: An applied case study. In Astronomical Data Analysis Software & Systems. ADASS, 2017. [NASA/ADS]

16. M. Díaz, M. Araya, C. Jauregui, C. Valenzuela, L. Pizarro, M. Osorio, and M. Solar. Docker-based implementation for an astronomical data analysis cloud service. In Astronomical Data Analysis Software & Systems. ADASS, 2017. [NASA/ADS]

17. M. Araya, R. Cáceres, L. Gutiérrez, M. Mendoza, C. Ponce, and C. Valenzuela. Towards large-scale RoI indexing for content-aware data discovery. In Astronomical Data Analysis Software & Systems. ADASS, 2017. [NASA/ADS]

18. M. Araya, L. Pizarro, and H. von Brand. Packaging and high availability for distributed control systems. In International Conference on Accelerator and Large Experimental Physics Control Systems. JACoW, 2017. 

19. M. Araya, R. Castillo, M. Jara, L. Pizarro, H. von Brand, I. Oya, and E. Lyard. A new ACS bulk data transfer service for CTA. In International Conference on Accelerator and Large Experimental Physics Control Systems. JACoW, 2017. 

20. M. Villanueva and M. Araya. Multiresolution and hierarchical analysis of astronomical spectroscopic cubes using 3d discrete wavelet transform. In 8th International Conference of Pattern Recognition Systems, Madrid, Spain, 2017. [SCOPUS]

21. M. Mendoza, A. Barrientos, M. Solar, and M. Araya. Mixed membership models for source separation of spectral lines. In 8th International Conference of Pattern Recognition Systems, Madrid, Spain, 2017. [SCOPUS]

22. I. Oya, M. Fuessling, P. Oliveira, M. Araya, J. Borkowski, A. Ulgarelli, J. Castroviejo, J. Colome, V. Conforti, A. Garcia, L. Hagge, E. Lyard, A. Morgenstern, M. Mayer, D. Melkumyan, T. Murach, L. Pizarro, I. Sadeh, T. Schmidt, U. Schwanke, G. Spengler, J. Schwarz, G. Tosti, R. Walter, and P. Wegner. Designing and prototyping the control system for the cherenkov telescope array. Journal of Physics: Conference Series, 2017.  [SCOPUS]

23. M. Mendoza, A. Barrientos, M. Solar, and M. Araya. Scaling up data cube indexing services. In Astronomical Data Analysis Software & Systems. ADASS, 2016. [NASA/ADS]

24. M. Araya, T. Hochfärber, C. Valenzuela, H. Farias, and M. Solar. JOVIAL: Jupyter override for astronomical libraries. In Astronomical Data Analysis Software & Systems. ADASS, 2016. [NASA/ADS]

25. M. Solar, M. Araya, H. Farias, D. Mardones, and Z. Wang. Cloud services on an astronomy data center. In Proceedings of SPIE 2016, Edinburgh, Scotland, pages 99131G–99131G. International Society for Optics and Photonics, 2016. [SCOPUS]

26. M. Solar, M. Araya, L. Arevalo, R. Contreras, V. Parada, and D. Mardones. Chilean Virtual Observatory. In Proceedings of CLEI. CLEI, 2015.

27. M. Solar and M. Araya. Open skies with cloud computing. In Electronic Government and Electronic Participation: Joint Proceedings of Ongoing Research, PhD Papers, Posters and Workshops of IFIP EGOV and EPart 2015. IOS Press, 2015.

28. M. Araya, M. Solar, D. Mardones, L. Arevalo, M. Mendoza, C. Valenzuela, T. Hochfärber, M. Villanueva, M. Jara, and A. Simonsen. The ChiVO library: advanced computational methods for astronomy. In Astronomical Data Analysis Software & Systems. ADASS, 2015. [NASA/ADS]

More than 10 years:

29. J. Antognini, M. Solar, J. Ibsen, M. Araya, D. M. Lars Nyman, C. Valenzuela, P. Ramirez, C. Fernandez, and M. Garces. Chilean virtual observatory services implementation for the alma public data. In Proceedings of SPIE 2014, Montréal, Canada., volume 9152. SPIE, 2014. [SCOPUS]

30. M. Araya, M. Solar, D. Mardones, and T. Hochfärber. Exorcising the ghost in the machine: Synthetic spectral data cubes for assessing big data algorithms. In Astronomical Data Analysis Software & Systems. ADASS, 2014. [NASA/ADS]

31. K. Kawaguchi and M. Araya. A greedy approximation of Bayesian reinforcement learning with probably optimistic transition model. In Proceedings of the Adaptive Learning Agents Workshop (ALA-13), 2013. [SCOPUS]

32. M. Araya, O. Buffet, and V. Thomas. Near-optimal BRL using optimistic local transitions. In Proceedings of the 29th International Conference on Machine Learning (ICML-12), volume 1, pages 97–104, 2012. [SCOPUS]

33. M. Araya, O. Buffet, V. Thomas, and F. Charpillet. Active learning of MDP models. In Lecture Notes in Artificial Intelligence (EWRL/ECML-11), volume 7188, pages 42–53. Springer, 2011. [SCOPUS]

34. M. Araya, V. Thomas, O. Buffet, and F. Charpillet. Une extension des pomdp avec des récompenses dépendant de l’état de croyance. In Conférence Francophone d’Apprentissage 2011, May 2011. [Best Paper Award].

35. M. Mora, J. Ibsen, G. Chiozzi, N. Troncoso, R. Tobar, M. Araya, J. Avarias, and A. Hoffstadt. Integrating a university team in the ALMA software development process: a successful model for distributed collaborations. In Proceedings of SPIE 2010, San Diego, California, USA. SPIE, 2010. [SCOPUS]

36. M. Araya, V. Thomas, O. Buffet, and F. Charpillet. A closer look at MOMDPs. In Proceedings of the Twenty-Second IEEE International Conference on Tools with Artificial Intelligence (ICTAI-10), volume 2, pages 197–204, 2010. [SCOPUS]

37. M. Araya, O. Buffet, V. Thomas, and F. Charpillet. A POMDP extension with belief-dependent rewards. In Advances in Neural Information Processing Systems 23 (NIPS-10), 2010. [SCOPUS]

38. N. Barriga, M. Araya, and M. Solar. Combining a probabilistic sampling technique and simple heuristics to solve the dynamic path planning problem. In Proceedings of the XXVIII International Conference of the Chilean Computer Science Society (SCCC), pages 43–50, 2009. [SCOPUS]

39. M. Araya, D. Arroyuelo, C. Saldías, and M. Solar. Content-aware data discovery on vo catalogs using succinct representations. In Astronomical Data Analysis Software & Systems. ADASS, 2019. [NASA/ADS]

40. M. Araya, O. Buffet, and V. Thomas. BRL quasi-optimal à l’aide de transitions locales optimistes. In Actes des septièmes journées francophones planification, décision, apprentissage pour la conduite de systèmes (JFPDA’12), 2012.

41. M. Araya, V. Thomas, O. Buffet, and F. Charpillet. Apprentissage actif de modele de MDP. In Actes des sixèmes journées francophones planification, décision, apprentissage pour la conduite de systèmes (JFPDA’11), 2011.

42. M. Araya, V. Thomas, O. Buffet, and F. Charpillet. Des POMDPs avec des variables d’état visibles. In Actes des cinquièmes journées francophones planification, décision, apprentissage pour la conduite de systèmes (JFPDA’10), 2010.

43. H. von Brand, M. Araya, and J. Avarias. Desarrollo de memorias y tesis usando herramientas colaborativas. In II Congreso Internacional de Informática del Norte de Chile, page 5, Nov. 2010.

44. J. López, R. Tobar, T. Staig, D. Bustamante, C. Menay, M. Araya, and H. H. v. Brand. A reference architecture specification of a generic telescope control system. In Astronomical Data Analysis Software & Systems ADASS, 2009. [NASA/ADS]

45. R. Tobar, M. Araya, T. Juerges, and H. H. v. Brand. Adding support to ACS for real-time operations through the usage of a posix-compliant RTOS. In Astronomical Data Analysis Software & Systems ADASS, 2008. [NASA/ADS]

46. T. Staig, R. Tobar, M. Araya, C. Guajardo, and H. H. v. Brand. A reference implementation of a generic automatic pointing system. In Astronomical Data Analysis Software & Systems. ADASS, 2008. [NASA/ADS]

47. R. Tobar, M. Araya, and H. H. v. Brand. Symbad: A new tool designed to optimize minimal Linux distributions. In Encuentro Chileno de Computación, page 35, Nov. 2008.

48. R. Tobar, J. López, M. Araya, and H. H. v. Brand. CSAT deployment and final status. In Encuentro Chileno de Computación, page 40, Nov. 2008.

49. H. H. v. Brand, M. Araya, and J. Ibsen. ACS Workshop — An experience teaching a complex framework. In Congreso de Educación Superior en Computación, page 18, Nov. 2008.

50. R. J. Tobar, H. H. v. Brand, M. Araya, and J. S. López. An amateur telescope control system: Towards a generic telescope control model. In Proceedings of SPIE 2008, volume 7019. SPIE, 2008. [SCOPUS]

51. M. Araya, R. J. Tobar, J. A. Avarias, and H. H. v. Brand. Towards a distributed control framework with real-time support. In XXXVI Conferencia Latinoamericana de Informática. CLEI, 2008. [SCOPUS]