By Professor Spiridon Ivanov Penev

Conference Papers

Lam KH; Walder C; Penev S; Nock R, 2023, 'LegendreTron: Uprising Proper Multiclass Loss Learning', in Proceedings of the 40th International Conference on Machine Learning, Proceedings of Machine Learning Research, Honolulu, HI, United States, pp. 18454 - 18470, presented at 40th International Conference on Machine Learning (ICML 2023), Honolulu, HI, United States, 23 July 2023, http://dx.doi.org/10.48550/arxiv.2301.11695

Dessi D; Shabani B; Lavroff J; Halloway D; Penev S; Thomas G; Sanchez-Alayo D, 2022, 'Unsupervised and Supervised Machine Learning Techniques for Slamming Classification from SHM data', in Dessi D; Iafrati A (ed.), Proceedings of the 9th International conference on Hydroelasticity in Marine Technology Rome, Italy, July 10th-13th, 2022, Institute of Marine Engineering CNR-INM, National Research Council of Italy, Rome, Italy, pp. 123 - 133, presented at 9th International Conference on Hydroelasticity in Marine Tehcnology, Rome, Italy, 10 July 2022 - 13 July 2022, https://uia.org/s/or/en/1122283315

Shabani B; Lavroff J; Holloway D; Penev S; Dessi D; Thomas G, 2020, 'Machine learning and cloud computing for remote monitoring of wave piercing catamarans: a case study using MATLAB and AMAZON web services', in Smart Ship Technology 2020. 14th-15th October 2020. Conference papers, THE ROYAL INSTITUTION OF NAVAL ARCHITECTS, Online conference, pp. 83 - 93, presented at Smart Ship Technology 2020, Online conference, 14 October 2020 - 15 October 2020, http://dx.doi.org/10.3940/sst.20.11

Shabani B; Lavroff J; Holloway D; Penev S; Dessi D; Thomas G, 2019, 'Classifying bow entry events of wave piercing catamarans in random waves using unsupervised and supervised techniques', in International Conference on Marine Industry 4.0, 5th November 2019, Rotterdam. Papers, The Royal Institution of Naval Architects, Rotterdam, pp. 39 - 54, presented at International Conference on Marine Industry 4.0, Rotterdam, 05 November 2019 - 05 November 2019, http://dx.doi.org/10.3940/rina.mi.2019.06

Penev S; Prvan T, 2016, 'Robust estimation in structural equation models using Bregman and other divergences with t-centre approach to estimate the covariance matrix', in Sharples J; Bunder J (ed.), Proceedings of the 17th Biennial Computational Techniques and Applications Conference, CTAC-2014, Australian Mathematical Publishing Association, pp. C339 - C354, http://dx.doi.org/10.21914/anziamj.v56i0.9359

Penev SI, 2000, 'Maximum likelihood based approximations of the Pitman estimator in a location family', in Mathematics and Computers in Science and Engineering, Vraurono, Athens, presented at Mathematics and Computers in Science and Engineering, Vraurono, Athens, 01 December 2000 - 03 December 2000

Maesono Y; Penev SI, 1996, 'Higher order relations between Cornish-Fisher expansions and inversions of saddlepoint approximations', in Billard L; Fisher NI (ed.), 28th Symposium on the interface Sydney, Sydney, pp. 242 - 247, presented at 28th Symposium on the interface Sydney, Sydney, 08 July 1996 - 12 July 1996

ARNAUDOV IN; BONCHEV EK; JORDANOV IN; PENEV SI; VENKOV GI, 1990, 'THE COMPUTER-AIDED-LEARNING (CAL) IN MATHEMATICS FOR ENGINEERS', in ONATE E; SUAREZ B; OWEN DRJ; SCHREFLER B; KROPLIN B; KLEIBER M (eds.), COMPUTER AIDED TRAINING IN SCIENCE AND TECHNOLOGY, PINERIDGE PRESS LTD, SPAIN, BARCELONA, pp. 359 - 362, presented at INTERNATIONAL CONF ON COMPUTER AIDED TRAINING IN SCIENCE AND TECHNOLOGY, SPAIN, BARCELONA, 09 July 1990 - 13 July 1990, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1990BU86L00056&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

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