| History of the efficient market hypothesis M Sewell Rn 11 (04), 04, 2011 | 390 | 2011 |
| Characterization of financial time series M Sewell Rn 11 (01), 01, 2011 | 209 | 2011 |
| Ensemble learning M Sewell RN 11 (02), 1-34, 2008 | 199 | 2008 |
| The efficient market hypothesis: Empirical evidence M Sewell International Journal of Statistics and Probability 1 (2), 164, 2012 | 123 | 2012 |
| Technical analysis M Sewell Department of Computer Science University College London, 2008 | 33 | 2008 |
| Learning to optimize profits beats predicting returns- comparing techniques for financial portfolio optimisation W Yan, MV Sewell, CD Clack Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 28 | 2008 |
| Principal component analysis M Sewell University College London: London, UK, 2008 | 27 | 2008 |
| Feature selection M Sewell Online]. http://machine-learning. martinsewell. com/feature-selection, 2007 | 27 | 2007 |
| Forecasting foreign exchange rates using kernel methods M Sewell, J Shawe-Taylor Expert Systems with Applications 39 (9), 7652-7662, 2012 | 25 | 2012 |
| The application of intelligent systems to financial time series analysis MV Sewell University College London, University of London: Department of Computer Science, 2010 | 25 | 2010 |
| Calendar anomalies: a survey of the literature N Patel, M Sewell International Journal of Behavioural Accounting and Finance 5 (2), 99-121, 2015 | 21 | 2015 |
| Structural risk minimization M Sewell Unpublished Ph. D. dissertation, University College London, Department of …, 2008 | 21 | 2008 |
| The fisher kernel: a brief review M Sewell RN 11 (06), 06, 2011 | 18 | 2011 |
| Kernel methods M Sewell Department of Computer Science, University College London, 2009 | 15 | 2009 |
| Emotions help solve the prisoner’s dilemma M Sewell Proceedings of the Behavioural Finance Working Group Conference: Fairness …, 2010 | 14 | 2010 |
| Computer-implemented system and method for generating and extracting user related data stored on a blockchain M Sewell, V Vsevolozhsky, CS Wright US Patent App. 17/674,300, 2022 | 13 | 2022 |
| Ensemble methods M Sewell Relatório Técnico RN/11/02, University College London Departament of …, 2011 | 13 | 2011 |
| Ultra high frequency financial data MV Sewell, W Yan Proceedings of the 10th annual conference companion on Genetic and …, 2008 | 13 | 2008 |
| Maintaining blocks of a blockchain in a partitioned blockchain network D Kramer, M Sewell, B Ammar US Patent App. 17/051,075, 2021 | 11 | 2021 |
| Application of machine learning to financial time series analysis MV Sewell UCL (University College London), 2017 | 10 | 2017 |
Christopher D. ClackUniversity College LondonVerified email at cs.ucl.ac.uk
