COBISS Kooperativni online bibliografski sistem in servisi COBISS

Luís Torgo

Osebna bibliografija za obdobje 2011-2023

2011

1. TORGO, Luís. Data mining with R : learning with case studies. Boca Raton; London; New York: Chapman & Hall/CRC Press, cop. 2011. XV, 289 str., ilustr. Chapman & Hall/CRC data mining and knowledge discovery series. ISBN 978-1-4398-1018-7, ISBN 1-4398-1018-4. [COBISS.SI-ID 24323879]

2017

2. CERQUEIRA, Vitor, TORGO, Luís, SMAILOVIĆ, Jasmina, MOZETIČ, Igor. A comparative study of performance estimation methods for time series forecasting. V: GAUSSIER, Eric (ur.). IEEE/ACM/ASA DSAA' 2017. Danvers: IEEE = Institute of Electrical and Electronics Engineers, 2017. Str. 529-538. ISBN 978-1-5090-5004-8. DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije. [COBISS.SI-ID 30872103]

2018

3. MOZETIČ, Igor, TORGO, Luís, CERQUEIRA, Vitor, SMAILOVIĆ, Jasmina. How to evaluate sentiment classifiers for Twitter time-ordered data?. PloS one. 2018, vol. 13, no. 3, str. e0194317-1-e0194317-20. ISSN 1932-6203. DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije, DOI: 10.1371/journal. pone.0194317. [COBISS.SI-ID 31271207]

2020

4. CERQUEIRA, Vitor, TORGO, Luís, MOZETIČ, Igor. Evaluating time series forecasting models : an empirical study on performance estimation methods. Machine learning. [Print ed.]. Nov. 2020, vol. 109, iss. 11, str. 1997-2028, ilustr. ISSN 0885-6125. DOI: 10.1007/s10994-020-05910-7. [COBISS.SI-ID 32669443]

2021

5. SOARES, Carlos (urednik), TORGO, Luís (urednik). Discovery Science : 24th International Conference, DS 2021, Halifax, Canada, October 11-13, 2021 : proceedings. Cham: Springer, 2021. XXII, 474 str., ilustr. Lecture notes in computer science, LNCS 12986. ISBN 978-3-030-88941-8, ISBN 978-3-030-88942-5. ISSN 0302-9743. [COBISS.SI-ID 80340739]

2023

6. PASCOAL, Francisco, TOMASINO, Maria Paola, PIREDDA, Roberta, QUERO, Grazia Marina, TORGO, Luís, POULAIN, Julie, TINTA, Tinkara, TURK DERMASTIA, Timotej, et al. Inter-comparison of marine microbiome sampling protocols. ISME communications. 2023, vol. 3, art. no. 84, str. [1]-16, ilustr. ISSN 2730-6151. https://doi.org/10.1038/s43705-023-00278-w, DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije, DOI: 10.1038/s43705-023-00278-w. [COBISS.SI-ID 161933059]