Conference papers, books and other publications in machine learning, metalearning, astrostatistics, transfer learning and much more.
Publications
We strive to publish novel results and theories in the fields of machine learning, statistical analysis, metalearning, transfer learning, astronomy and other related fields.
Ben Moews, Morgan A Schmitz, Andrew J Lawler, Joe Zuntz, Alex I Malz, Rafael S de Souza, Ricardo Vilalta, Alberto Krone-Martins, Emille E O Ishida (2020) Ridges in the Dark Energy Survey for cosmic trough identification Monthly Notices of the Royal Astronomical Society, Volume 500, Issue 1, pp. 859–870.
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Moller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluis Galbany (2020) Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients .
IEEE Symposium on Computational Intelligence and Data Mining (CIDM-20), Canberra, Australia.
M. van Beekveld, S. Caron, A. De Simone, A. Farbin, L. Hendriks, A. Jueid, A. Leinweber, J. Mamuzic, E. Merényi, A. Morandini, C. Nellist, S. Otten, M. Pierini, R. Ruiz de Austri, S. Sekmen, J. Schouwenberg, R. Vilalta, M. White (2020) Model-Independent Signal Detection: A Challenge using Benchmark Monte Carlo Data and Machine Learning..
Proceedings of the Les Houches: Physics at TEV Colliders New Physics Working Group Report.
Bechtol K., Drlica-Wagner A., Vilalta R., et. al. (2019) Dark Matter Science in the Era of LSST .
Astro2020: Decadal Survey on Astronomy and Astrophysics, science white papers, no. 207; Bulletin of the American Astronomical Society, Vol. 51, Issue 3, id. 207 (2019).
De Souza, R. S., Dantas, M. L. L., Costa-Duarte, M. V., Feigelson, E. D., Killedar, M., Lablanche, P. Y., Vilalta, R., Krone-Martins, A., Beck, R., Gieseke, F., (2017) A Probabilistic Approach to Emission-Line Galaxy Classification . Monthly Notices of the Royal Astronomical Society (MNRAS), 472, no. 3, pp. 2808-2822, Oxford University Press.
Vilalta, Ricardo; Meskhi, Michael (2022) Transfer of Knowledge Across Tasks . Book Chapter in Metalearning: Applications to Automated Machine Learning and Data Mining, edited by Brazdil, Pavel; van Rijn, Jan N.; Soares, Carlos Soares; Vanschoren, Joaquin; Springer Intrenational Publishing, Second Edtion.
Meskhi, Mikhail M.; Rivolli, Adriano; Mantovani, Rafael G.; Vilalta, Ricardo (2021) Learning Abstract Task RepresentationsProceedings of Machine Learning Research, AAAI Workshop on Meta-Learning and MetaDL Challenge, Volume 140, pp. 127-136.
Brazdil P., Vilalta R., Giraud-Carrier C., Soares C. (2016) Meta-Learning. Encyclopedia of Machine Learning and Data Mining. Claude Sammut & Geoff Webb (Eds). Springer.
Vilalta R., Giraud-Carrier C., Brazdil P., Soares C. (2016) Inductive Transfer. Encyclopedia of Machine Learning and Data Mining. Claude Sammut & Geoff Webb (Eds). Springer.
Brazdil P., Vilalta R., Soares C., Giraud-Carrier C. (2011)
Metalearning. Encyclopedia of the Sciences of Learning. Springer.
Brazdil P., Vilalta R., Giraud-Carrier C., and Soares C. (2010)
Metalearning. Encyclopedia of Machine Learning. Claude Sammut and Geoffrey I. Webb, Editors.Springer.
Vilalta R., Giraud-Carrier C., Brazdil P. and Soares C. (2010)
Inductive Transfer.
Encyclopedia of Machine Learning. Claude Sammut and Geoffrey I. Webb, Editors.Springer.
Vilalta R., Stepinski T. (2008)
Cluster Validation.
Encyclopedia of Data Warehousing and Data Mining, 2nd edition, J. Wang Ed.
Giraud-Carrier C., Brazdil P. and Soares C., Vilalta R. (2008)
Meta-learning.
Encyclopedia of Data Warehousing and Data Mining, 2nd edition, J. Wang Ed.
Vilalta R., Giraud-Carrier C., Brazdil P. (2005) Meta-Learning: Concepts and Techniques. Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers. Oded Maimon and Lior Rokach, Editors. Springer Publishers.
Vilalta R., Giraud-Carrier C., Brazdil P. Soares C. (2004) Using Meta-Learning to Support Data Mining. International Journal of Computer Science and Applications. Vol. 1, No. 1, pp. 31-45.
Vilalta R., Drissi Y. (2001)
Research Directions in Meta-Learning
Proceedings of the International Conference on Artificial Intelligence, (ICAI01) Las Vegas, Nevada. Ed. H. R. Arabnia.
Vilalta R., Rish I., Oblinger D. (2000)
What Works Well Where in Inductive Learning?
Workshop during the 17th International Conference on Machine Learning (ICML00).
Stanford University, Stanford, CA., pp.1087-1094.
Rincon, C. A., Paris, J. F., Vilalta R., Cheng, A. M. K., Long, D. D. E., (2017) Disk Failure Prediction in Heterogeneous Environments.
International Symposium on Performance Evaluation of Computer and Telecommunication Systems, Seattle WA, USA.
Dvijesh S., Dcosta M., Vilalta R., Pavlidis I. (2015) Perinasal Indicators of Deceptive Behavior . IEEE Conference on Automatic Face and Gesture Recognition (FG2015), Ljubljana, Slovenia.
Guillen P., Larrazabal G., Gonzalez G. Boumber D., Vilalta R. (2015) Supervised Learning in Salt Body Detection . 85th Annual Meeting of the Society of Exploration Geophysicists, New Orleans, LA, USA.
Vilalta R., Ma S., Hellerstein J. (2001) Rule Induction of Computer Events. Proceedings of the 12th IFIP/IEEE International Workshop on Distributed Systems: Operations & Management (DSOM01), Nancy, France.