Sergio A. Alvarez

Publications
  (asterisks (*) denote student co-authors)

  1. S. A. Alvarez. Gaussian centered kernel alignment (CKA) in the large-bandwidth limit, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, issue 5, May 2023 (early access Oct. 2022); https://ieeexplore.ieee.org/document/9926163

  2. P. Putra*, K. Shima, S. A. Alvarez, and K. Shimatani. Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken, Scientific Reports, vol. 11, Nov. 2021
    Full paper available at https://www.nature.com/articles/s41598-021-01050-7

  3. S. Paisarnsrisomsuk*, C. Ruiz, and S. A. Alvarez. Capturing the development of internal representations in a high-performing deep network for sleep stage classification, SN Computer Science 2, 318 (2021)
    Full paper available (CC BY license) at https://doi.org/10.1007/s42979-021-00697-3

  4. S. Paisarnsrisomsuk*, C. Ruiz, and S. A. Alvarez . Improved deep learning classification of human sleep stages, IEEE Computer-Based Medical Systems (CBMS 2020), Mayo Clinic, Rochester, MN, July 28-30, 2020

  5. M. Sokolovsky*, F. Guerrero*, S. Paisarnsrisomsuk*, C. Ruiz, and S. A. Alvarez. Deep learning for automated feature discovery and classification of sleep stages, IEEE / ACM Transactions on Computational Biology and Bioinformatics, Nov-Dec 2020;17(6):1835-1845;
    doi:10.1109/TCBB.2019.2912955 Epub 2020 Dec 8.
    Near-final version available here.

  6. K. Ahmedul*, C. Ruiz, and S. A. Alvarez. Mixed bagging: a novel ensemble learning framework for supervised classification based on instance hardness, short paper, IEEE International Conference on Data Mining (ICDM 2018), Singapore, Nov. 2018

  7. S. Paisarnsrisomsuk*, M. Sokolovsky*, F. Guerrero*, C. Ruiz, and S. A. Alvarez. Deep Sleep: convolutional neural networks for predictive modeling of human sleep time-signals, KDD 2018 Deep Learning Day, 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, Aug. 2018

  8. M. Sokolovsky*, F. Guerrero*, S. Paisarnsrisomsuk*, C. Ruiz, and S. A. Alvarez. Human expert-level automated sleep stage prediction and feature discovery by deep convolutional neural networks, full paper, BIOKDD 2018, in conjunction with the 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, Aug. 2018

  9. C. Wang*, S.A. Alvarez, C. Ruiz, and M. Moonis (2017). Modeling and Clustering of Human Sleep Time Series using Dynamic Time Warping: Sequential and Distributed Implementations. In Biomedical Engineering Systems and Technologies, Ninth International Joint Conference, BIOSTEC 2016, Rome, Italy, February 2016, Revised Selected Papers (A. Fred and H. Gamboa, eds.), Communications in Computer and Information Science, Volume 690, Springer, 2017. ISBN: 978-3-319-54716-9

  10. A. Kabir*, C. Ruiz, S. A. Alvarez, and M. Moonis. Predicting outcome of ischemic stroke patients using bootstrap aggregating with M5 model trees, full paper, Proc. Tenth International Conference on Health Informatics (HEALTHINF 2017), in conjunction with the Tenth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), Porto, Portugal, Feb. 21-23, 2017

  11. C. Wang*, S. A. Alvarez, C. Ruiz, and M. Moonis. Deviation-based dynamic time warping for clustering human sleep, Proc. Ninth International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2016), in conjunction with the Ninth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), Rome, Italy, Feb. 21-23, 2016

  12. S. A. Alvarez, E. Winner, A. Hawley-Dolan, L. Snapper*. What gaze fixation and pupil dilation can tell us about perceived differences between abstract art by artists vs. by children and animals, Perception, 44(11): 1310-1331 (Nov. 2015)
    doi:10.1177/0301006615596899
    Near-final version available here.

  13. A. Kabir*, C. Ruiz, S. A. Alvarez, and M. Moonis. Model-based clustering of ischemic stroke patients, full paper, Proc. Eighth International Conference on Health Informatics (HEALTHINF 2015), in conjunction with the Eighth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2015), Lisbon, Portugal, Jan. 12-15, 2015

  14. Fernández-Chimeno, M., Fernandes, P.L., Alvarez, S.,A. Stacey, D., Solé-Casals, J., Fred, A., Gamboa, H. (Eds.). Biomedical Engineering Systems and Technologies, 6th International Joint Conference, BIOSTEC 2013, Barcelona, Spain, February 11-14, 2013, Revised Selected Papers, Communications in Computer and Information Science, vol. 452, Springer, 2014. DOI 10.1007/978-3-662-44485-6, ISBN 978-3-662-44485-6

  15. C. Wang*, S. A. Alvarez, C. Ruiz, and M. Moonis. Semi-Markov modeling-clustering of human sleep with efficient initialization and stopping, full paper, Proc. Seventh International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2014), in conjunction with the Seventh International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2014), Angers, France, Mar. 3-6, 2014

  16. C. Wang*, F. W. Usher*, S. A. Alvarez, C. Ruiz, and M. Moonis. Clustering of human sleep recordings using a quantile representation of stage bout durations, in Gabriel, J., Schier, J., Van Huffel, S., Conchon, E., Correia, C., Fred, A., Gamboa, H. (Eds.), Biomedical Engineering Systems and Technologies 5th International Joint Conference, BIOSTEC 2012, Vilamoura, Portugal, February 1-4, 2012, Revised Selected Papers, Communications in Computer and Information Science, Volume 357, Springer, 2013. ISBN 978-3-642-38256-7

  17. C. Wang*, S. A. Alvarez, C. Ruiz, and M. Moonis. Computational modeling of sleep stage dynamics using Weibull semi-Markov chains, full paper, Proc. Sixth International Conference on Health Informatics (HEALTHINF 2013), in conjunction with the Sixth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2013), Barcelona, Catalunya, Spain, Feb. 11-14, 2013

  18. S. A. Alvarez and C. Ruiz. Collective probabilistic dynamical modeling of sleep stage transitions, short paper, Proc. Sixth International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2013), in conjunction with the Sixth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2013), Barcelona, Catalunya, Spain, Feb. 11-14, 2013

  19. A. Khasawneh*, S. A. Alvarez, C. Ruiz, S. Misra*, and M. Moonis. Similarity grouping of human sleep recordings using EEG and ECG, in Biomedical Engineering Systems and Technologies, Fourth International Joint Conference, BIOSTEC 2011, Rome, Italy, January 2011, Revised Selected Papers (A. Fred, J. Filipe and H. Gamboa, eds.), Communications in Computer and Information Science, Volume 273, Springer, 2013. ISBN: 978-3-642-29751-9

  20. F. W. Usher*, C. Wang*, S. A. Alvarez, C. Ruiz, and M. Moonis. Machine learning of human sleep patterns based on stage bout durations, full paper (acceptance rate: 65/522 = 12.5%), Proc. Fifth International Conference on Health Informatics (HEALTHINF 2012), in conjunction with the Fifth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2012), Vilamoura, Algarve, Portugal, Feb. 1-4, 2012

  21. S. A. Alvarez, C. Ruiz, T. Kawato*, W. Kogel*. Neural expert networks for faster combined collaborative and content-based recommendation, Journal of Computational Methods in Sciences and Engineering, vol 11, no 4, Sept. 2011, 161-172
    DOI: 10.3233/JCM-2011-0360

  22. S. Floyd*, C. Ruiz, S. A. Alvarez, J. Tseng, and G. Whalen. Prediction of pancreatic cancer survival through automated selection of predictive models, in Biomedical Engineering Systems and Technologies, Third International Joint Conference, BIOSTEC 2010, Valencia, Spain, January 2010, Revised Selected Papers (Ana Fred, Joaquim Filipe and Hugo Gamboa, eds.), Communications in Computer and Information Science, Volume 127, Springer, 2011, 29-43
    ISBN: 978-3-642-18471-0

  23. A. Khasawneh*, S. A. Alvarez, C. Ruiz, S. Misra*, and M. Moonis. EEG and ECG characteristics of human sleep composition types, full paper (acceptance rate: 48/538 = 8.9%), Best Paper Award, Proc. Fourth International Conference on Health Informatics (HEALTHINF 2011), in conjunction with the Fourth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2011), Rome, Italy, Jan. 26-29, 2011, 97-106

  24. A. Khasawneh*, S. A. Alvarez, C. Ruiz, S. Misra*, and M. Moonis. Discovery of sleep composition types using expectation-maximization, Proc. 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2010), Perth, Australia, Oct. 12-15, 2010

  25. J. Hayward*, S. A. Alvarez, C. Ruiz, M. Sullivan, J. Tseng, and G. Whalen. Machine learning of clinical performance in a pancreatic cancer database, Artificial Intelligence in Medicine, special issue on Data Mining Approaches to the Study of Disease Genes and Proteins (Sun Kim, ed.), vol. 49, issue 3, July 2010, 187-195

  26. S. Floyd*, C. Ruiz, S. A. Alvarez, J. Tseng, and G. Whalen. Model selection meta-learning for the prognosis of pancreatic cancer, full paper (acceptance rate: 46/410 = 11.2%), Proc. Third International Conference on Health Informatics (HEALTHINF 2010), in conjunction with the Third International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2010), Valencia, Spain, Jan. 20-23, 2010, 29-37

  27. J. Hayward*, S. A. Alvarez, C. Ruiz, M. Sullivan, J. Tseng, and G. Whalen. Knowledge discovery in clinical performance of cancer patients, regular paper (acceptance rate: 38/156 = 24.4%), 2008 IEEE International Conference on Bioinformatics and Biomedicine, Philadelphia, PA, USA, Nov. 3-5, 2008

  28. S. Floyd*, S. A. Alvarez, C. Ruiz, J. Hayward*, M. Sullivan, J. Tseng, and G. Whalen. Improved survival prediction for pancreatic cancer using machine learning and regression, extended abstract, Society for the Surgery of the Alimentary Tract 48th Annual Meeting (SSAT 2007), in conjunction with Digestive Disease Week, Washington DC, USA, May 19-23, 2007

  29. J. Hayward*, S.A. Alvarez, C. Ruiz, J. Tseng, M. Sullivan, and G. Whalen. Survival of pancreatic cancer patients predicted using machine learning techniques, extended abstract, Society of Surgical Oncology 60th Annual Cancer Symposium, Washington, DC, USA, March 15-18, 2007

  30. Alvarez, S.A., Ruiz, C., and Kawato*, T. More efficient mining over heterogeneous data using neural expert networks, in Multimedia Data Mining and Knowledge Discovery (V.A. Petrushin and L. Khan, eds.), Springer, 2007, 340-361
    ISBN: 978-1-84628-436-6

  31. Laxminarayan*, P., Alvarez, S.A., Ruiz, C., Moonis, M.,
    Mining statistically significant associations for exploratory analysis of human sleep data, IEEE Transactions on Information Technology in Biomedicine, vol 10, no 3 (July 2006), 440-450

  32. Laxminarayan*, P., Ruiz, C., Alvarez, S.A., Moonis, M.,
    Mining associations over human sleep time series, Proc. 18th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2005), Dublin, Ireland, June 2005, 323-328

  33. Alvarez, S.A.,
    A theory of frame transformations for belief combination, Annals of Mathematics and Artificial Intelligence, 40 (3/4), pp 187-213, March 2004

  34. Alvarez, S.A., Kawato*, T., Ruiz, C.,
    Mining over loosely coupled data sources using neural experts, Fourth International Workshop on Multimedia Data Mining (MDM/KDD 2003), in conjunction with the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2003), Washington, DC, Aug. 2003

  35. Alvarez, S.A.,
    Chi-squared computation for association rules: preliminary results, Technical Report BC-CS-2003-01, Computer Science Department, Boston College, July 2003

  36. Alvarez, S.A., Ruiz, C., Dignum, V.,
    Data Mining and Web Knowledge Management, in Web Knowledge Management and Decision Support (14th International Conference on Applications of Prolog, INAP 2001, Tokyo, Japan, October 20-22, 2001, Revised Papers), Bartenstein, O., Geske, U., Hannebauer, M., Yoshie, O., (Eds.), Lecture Notes in Computer Science, Volume 2543, Springer, 2003

  37. Alvarez, S.A.,
    An exact analytical relation among recall, precision, and classification accuracy in information retrieval, Technical Report BC-CS-2002-01, Computer Science Department, Boston College, June 2002

  38. Lin*, W.-Y., Alvarez, S.A., Ruiz, C.,
    Efficient adaptive-support association rule mining for recommender systems, Data Mining and Knowledge Discovery, Vol. 6, No. 1, pp. 83-105, Jan. 2002

  39. C. Shoemaker*, M. Pungliya*, M. Sao Pedro*, C. Ruiz, S.A. Alvarez, M. Ward, E. Ryder, and J. Krushkal. Computational methods for single point and multipoint analysis of genetic variants associated with a simulated complex disorder in a general population. Genetic Epidemiology, Nov. 2001

  40. Streeter*, M.J., Ward, M.O., Alvarez, S.A.,
    N2VIS -- an interactive visualization tool for neural networks, Visual Data Exploration and Analysis VIII, Proc. SPIE Vol. 4302, San Jose, CA, Jan. 2001; also see Technical Report WPI-CS-TR-00-11, Department of Computer Science, Worcester Polytechnic Institute, March 2000

  41. Computational population-based techniques in identifying genetic variants associated with simulated complex disorder in a general population (with M. Sao Pedro*, C. Shoemaker*, M. Pungliya*, C. Ruiz, M. Ward, M. Stevens, E.F. Ryder, and J. Krushkal), GAW-12 (2000 Genetic Analysis Workshop), Southwest Foundation for Biomedical Research, San Antonio, TX, Oct. 2000

  42. Prescription vs. Description: two data mining approaches to the analysis of genetic data (with C. Shoemaker*, M. Sao Pedro*, and C. Ruiz), GAW-12 (2000 Genetic Analysis Workshop), Southwest Foundation for Biomedical Research, San Antonio, TX, Oct. 2000

  43. Lin*, W.-Y., Alvarez, S.A., Ruiz, C.,
    Collaborative recommendation via adaptive asociation rule mining, KDD-2000 Workshop on Web Mining for E-Commerce, Boston, MA, Aug. 2000

  44. Alvarez, S.A.,
    Web metasearch as belief aggregation, AAAI-2000 Workshop on AI for Web Search, Austin, TX, July 2000

  45. Alvarez, S.A.,
    Belief combination by means of frame transformations, 6th International Symposium on Artificial Intelligence and Mathematics, Ft. Lauderdale, FL, Jan. 2000

  46. Lin*, W.-Y., Ruiz, C., Alvarez, S.A.,
    A new adaptive-support algorithm for asociation rule mining, Technical Report WPI-CS-TR-00-13, Department of Computer Science, Worcester Polytechnic Institute, May 2000

  47. Carter, T., Alvarez, S.A.,
    Quadratic-based computation of optimal four-impulse rendezvous near a circular orbit, Journal of Guidance, Control, and Dynamics, vol. 23, no. 1, Jan.-Feb. 2000, 109-117

  48. Alvarez, S.A.,
    A geometric theory of knowledge aggregation, Workshop on Soft Computing, Marianska u Jachymova, Czech Republic, Nov. 1999

  49. Alvarez, S.A., Levitan, S.L., Reggia, J.A.,
    Metrics for cortical map organization and asymmetry, Bulletin of Mathematical Biology, vol. 60 (1998), 27-47
    abstract (HTML)

  50. Carter, T., Alvarez, S.A.,
    Four-impulse rendezvous near circular orbit, AIAA/AAS Astrodynamics Specialist Conference, Session 84-ASD-10, Rendezvous and Orbit Transfer, Boston, MA, Aug. 1998

  51. Alvarez, S.A.
    Rational comparison of probabilities via a blow-up conjugacy, Research Report No. 97-NA-010, Center for Nonlinear Analysis, Carnegie Mellon U., Aug. 1997
    abstract (HTML)

  52. Alvarez, S.A., Liu, C.
    Motion of a closed curve by minus the surface Laplacian of curvature, Differential and Integral Equations, vol. 13, no. 10-12, Oct.-Dec. 2000, pp. 1583-1594; also see Research Report No. 97-NA-009, Center for Nonlinear Analysis, Carnegie Mellon U., Aug. 1997
    abstract (HTML)

  53. S.A. Alvarez. Note on an n-dimensional Pythagorean theorem, unpublished note, Carnegie Mellon University, 1997

  54. S.A. Alvarez, S.L. Levitan, and J.A. Reggia. Measuring organization and symmetry in topographic map formation, Technical Report UMCP-CSD CS-TR-3668, Department of Computer Science, University of Maryland College Park, Sept. 1996

  55. Alvarez, S.A.
    Interface motion driven by curvature and diffusion: analytic dependence on the initial data for the Mullins-Sekerka equation, Ph.D. Thesis, University of Maryland at College Park, 1996
    abstract (HTML)

  56. Alvarez, S.A.,
    Homothetic invariance of the space L0(μ), J. of Math. Analysis and Appl., vol. 179, no. 1, 260-274, Oct. 1993

  57. Alvarez, S.A.,
    Lp arithmetic, Am. Math. Monthly, vol. 99, no. 7, 656-662, Aug.-Sept. 1992

  58. Alvarez, S.A., Maddocks, J.H.,
    Dynamics and optimal control of wheeled mobile robots, U. of Maryland College Park Technical Report, 1991

  59. Alvarez, S.A.,
    Lattices generated by collections of Lp spaces, Rev. Col. Mat., vol. XXII, 1988

  60. Alvarez, S.A., Noreña, D., Ramos, E.,
    Automated recognition of handprinted alphanumeric characters, Sistemas, No. 23, Apr.-Jun. 1985

Research according to Hollywood...

"Do you have any idea how easy this stuff is for me ?!?"

Exasperated 20 year old janitor/genius Will Hunting trying to explain a mathematical proof to a struggling Fields Medalist in Good Will Hunting, Miramax Films, 1997

... and an alternative point of view

"The universe is full of magical things patiently waiting for our wits to grow sharper."

Eden Phillpotts, in A Shadow Passes, C. Palmer and Hayward, London, 1918.