Search Results - "Donalek, C."

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  1. 1

    Cataclysmic variables from the Catalina Real-time Transient Survey by Drake, A. J., Gänsicke, B. T., Djorgovski, S. G., Wils, P., Mahabal, A. A., Graham, M. J., Yang, T.-C., Williams, R., Catelan, M., Prieto, J. L., Donalek, C., Larson, S., Christensen, E.

    “…We present 855 cataclysmic variable candidates detected by the Catalina Real-time Transient Survey (CRTS) of which at least 137 have been spectroscopically…”
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    Journal Article
  2. 2

    PROBING THE OUTER GALACTIC HALO WITH RR LYRAE FROM THE CATALINA SURVEYS by Drake, A J, Catelan, M, Djorgovski, S G, Torrealba, G, Graham, M J, Belokurov, V, Koposov, S E, Mahabal, A, Prieto, J L, Donalek, C, Williams, R, Larson, S, Christensen, E, BESHORE, E

    Published in The Astrophysical journal (20-01-2013)
    “…We present analysis of 12,227 type-ab RR Lyraes (RRLs) found among the 200 million public light curves in Catalina Surveys Data Release 1. These stars span the…”
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    Journal Article
  3. 3

    An analysis of feature relevance in the classification of astronomical transients with machine learning methods by D'Isanto, A., Cavuoti, S., Brescia, M., Donalek, C., Longo, G., Riccio, G., Djorgovski, S. G.

    “…The exploitation of present and future synoptic (multiband and multi-epoch) surveys requires an extensive use of automatic methods for data processing and data…”
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    Journal Article
  4. 4

    EVIDENCE FOR A MILKY WAY TIDAL STREAM REACHING BEYOND 100 kpc by Drake, A J, Catelan, M, Djorgovski, S G, Torrealba, G, Graham, M J, Mahabal, A, Prieto, J L, Donalek, C, Williams, R, Larson, S, Christensen, E, BESHORE, E

    Published in The Astrophysical journal (10-03-2013)
    “…We present the analysis of 1207 RR Lyrae found in photometry taken by the Catalina Survey's Mount Lemmon telescope. By combining accurate distances for these…”
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    Journal Article
  5. 5

    ULTRA-SHORT PERIOD BINARIES FROM THE CATALINA SURVEYS by Drake, A J, Djorgovski, S G, Garcia-Alvarez, D, Graham, M J, Catelan, M, Mahabal, A A, Donalek, C, Prieto, J L, Torrealba, G, Abraham, S, Williams, R, Larson, S, Christensen, E

    Published in The Astrophysical journal (01-08-2014)
    “…We investigate the properties of 367 ultra-short period binary candidates selected from 31,000 sources recently identified from Catalina Surveys data. Based on…”
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    Journal Article
  6. 6

    CLaSPS: A NEW METHODOLOGY FOR KNOWLEDGE EXTRACTION FROM COMPLEX ASTRONOMICAL DATA SETS by D'ABRUSCO, R, FABBIANO, G, Djorgovski, G, Donalek, C, Laurino, O, Longo, G

    Published in The Astrophysical journal (20-08-2012)
    “…In this paper, we present the Clustering-Labels-Score Patterns Spotter (CLaSPS), a new methodology for the determination of correlations among astronomical…”
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    Journal Article
  7. 7

    The Palomar-Quest digital synoptic sky survey by Djorgovski, S.G., Baltay, C., Mahabal, A.A., Drake, A.J., Williams, R., Rabinowitz, D., Graham, M.J., Donalek, C., Glikman, E., Bauer, A., Scalzo, R., Ellman, N., Jerke, J.

    Published in Astronomische Nachrichten (01-03-2008)
    “…We describe briefly the Palomar‐Quest (PQ) digital synoptic sky survey, including its parameters, data processing, status, and plans. Exploration of the time…”
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    Journal Article
  8. 8

    A multi-step approach to time series analysis and gene expression clustering by Amato, R., Ciaramella, A., Deniskina, N., Mondo, C. Del, di Bernardo, D., Donalek, C., Longo, G., Mangano, G., Miele, G., Raiconi, G., Staiano, A., Tagliaferri, R.

    Published in Bioinformatics (01-03-2006)
    “…Motivation: The huge growth in gene expression data calls for the implementation of automatic tools for data processing and interpretation. Results: We present…”
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    Journal Article
  9. 9

    Automated probabilistic classification of transients and variables by Mahabal, A., Djorgovski, S.G., Turmon, M., Jewell, J., Williams, R.R., Drake, A.J., Graham, M.G., Donalek, C., Glikman, E., Palomar-QUEST team

    Published in Astronomische Nachrichten (01-03-2008)
    “…There is an increasing number of large, digital, synoptic sky surveys, in which repeated observations are obtained over large areas of the sky in multiple…”
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    Journal Article
  10. 10
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    Comparison between methods for the determination of the primary cosmic ray mass composition from the longitudinal profile of atmospheric cascades by Ambrosio, M., Aramo, C., Donalek, C., D’Urso, D., Erlykin, A.D., Guarino, F., Insolia, A., Longo, G.

    Published in Astroparticle physics (01-12-2005)
    “…The determination of the primary cosmic ray mass composition from the longitudinal development of atmospheric cascades is still a debated issue. In this work…”
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    Journal Article
  12. 12

    Some Pattern Recognition Challenges in Data-Intensive Astronomy by Djorgovski, S.G., Donalek, C., Mahabal, A., Williams, R., Drake, A.J., Graham, M.J., Glikman, E.

    “…We review some of the recent developments and challenges posed by the data analysis in modern digital sky surveys, which are representative of the…”
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    Conference Proceeding
  13. 13

    Real-time data mining of massive data streams from synoptic sky surveys by Djorgovski, S.G., Graham, M.J., Donalek, C., Mahabal, A.A., Drake, A.J., Turmon, M., Fuchs, T.

    Published in Future generation computer systems (01-06-2016)
    “…The nature of scientific and technological data collection is evolving rapidly: data volumes and rates grow exponentially, with increasing complexity and…”
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  14. 14

    Data visualization methodologies for data mining systems in bioinformatics by Staiano, A., Ciaramella, A., Raiconi, G., Tagliaferri, R., Amato, R., Longo, G., Miele, G., Donalek, C.

    “…Bioinformatics systems benefit from the use of data mining strategies to locate interesting and pertinent relationships within massive information. For…”
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    Conference Proceeding
  15. 15

    Probabilistic principal surfaces for yeast gene microarray data mining by Staiano, A., De Vinco, L., Ciaramella, A., Raiconi, G., Tagliaferri, R., Amato, R., Longo, G., Donalek, C., Miele, G., Di Bernardo, D.

    “…The recent technological advances are producing huge data sets in almost all fields of scientific research, from astronomy to genetics. Although each research…”
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    Conference Proceeding
  16. 16

    Neural networks in astronomy by Tagliaferri, Roberto, Longo, Giuseppe, Milano, Leopoldo, Acernese, Fausto, Barone, Fabrizio, Ciaramella, Angelo, De Rosa, Rosario, Donalek, Ciro, Eleuteri, Antonio, Raiconi, Giancarlo, Sessa, Salvatore, Staiano, Antonino, Volpicelli, Alfredo

    Published in Neural networks (01-04-2003)
    “…In the last decade, the use of neural networks (NN) and of other soft computing methods has begun to spread also in the astronomical community which, due to…”
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    Journal Article
  17. 17

    Visualization, clustering and classification of multidimensional astronomical data by Staiano, A., Ciaramella, A., De Vinco, L., Donalek, C., Longo, G., Raiconi, G., Tagliaferri, R., Amato, R., Del Mondo, C., Mangano, G., Miele, G.

    “…Due to the recent technological advances, data mining in massive data sets has evolved as a crucial research field for many if not all areas of research: from…”
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    Conference Proceeding
  18. 18
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    Data Driven Discovery in Astrophysics by Longo, G, Brescia, M, Djorgovski, S. G, Cavuoti, S, Donalek, C

    Published 21-10-2014
    “…We review some aspects of the current state of data-intensive astronomy, its methods, and some outstanding data analysis challenges. Astronomy is at the…”
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    Journal Article
  20. 20

    Flashes in a star stream: Automated classification of astronomical transient events by Djorgovski, S. G., Mahabal, A. A., Donalek, C., Graham, M. J., Drake, A. J., Moghaddam, B., Turmon, M.

    “…An automated, rapid classification of transient events detected in the modern synoptic sky surveys is essential for their scientific utility and effective…”
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    Conference Proceeding