A

Alabdullah, Bayan, Beloff, Natalia and White, Martin (2018) Rise of big data – issues and challenges. SCS-NCC' 2018 Saudi section 21st Saudi Computer Society National Computer Conference, Riyadh, Saudi Arabia, April 25-26, 2018. Published in: 2018 21st Saudi Computer Society National Computer Conference (NCC). 1-6. ISBN 9781538641118

Alexander, Carol, Cordeiro, Gauss M, Ortega, Edwin M M and Sarabia, José María (2012) Generalized beta-generated distributions. Computational Statistics and Data Analysis, 56 (6). pp. 1880-1897. ISSN 0167-9473

Antoniades, Andreas, Widiarto, Indra and Antonarakis, Alexander S (2020) Financial crises and the attainment of the SDGs: an adjusted multidimensional poverty approach. Sustainability Science, 15 (6). pp. 1683-1698. ISSN 1862-4065

B

Barnett, L, Di Paolo, E and Bullock, S (2007) Spatially embedded random networks. Physical Review E, 76 (5). 056115. ISSN 1539-3755

Bond, Rachael L (2015) A quantum framework for likelihood ratios. In: Annual Scientific Meeting of the Mathematical, Statistical, & Computing Psychology Section of the British Psychological Society, 12/12/2015, London.

Bond, Rachael L, He, Yang-Hui and Ormerod, Thomas C (2017) A quantum framework for likelihood ratios. International Journal of Quantum Information, 16 (1). ISSN 0219-7499

Briant, Marc, Merino Aceituno, Sara and Mouhot, Clement (2019) From Boltzmann to incompressible Navier-Stokes in Sobolev spaces with polynomial weight. Analysis and Applications, 17 (1). pp. 85-116. ISSN 0219-5305

C

Chen, Chao and Quadrianto, Novi (2016) Clustering high dimensional categorical data via topographical features. International Conference on Machine Learning, New York, New York, USA, 20-22 June 2016. Published in: Balcan, Maria Florina and Weinberger, Kilian Q, (eds.) Proceedings of the 33rd International Conference on Machine Learning; New York; 19 - 24 June 2016. 48 2732-2740. JMLR ISSN 1938-7288

Coronel-Brizio, H F, Hernández-Montoya, A R, Rapallo, F and Scalas, E (2008) Statistical auditing and randomness test of lotto k/N-type games. Physica A Statistical Mechanics and its Applications, 387 (25). pp. 6385-6390. ISSN 0378-4371

Cuniberti, Giovanni, Raberto, Marco and Scalas, Enrico (1999) Correlations in the bond-future market. Physica A: Statistical Mechanics and its Applications, 269 (1). pp. 90-97. ISSN 0378-4371

D

Duong, Duc Lam (2021) Inverse problems for hyperbolic conservation laws: a Bayesian approach. Doctoral thesis (PhD), University of Sussex.

G

Gallegati, M, Palestrini, A, Delli Gatti, D and Scalas, E (2006) Aggregation of heterogeneous interacting agents: the Variant Representative Agent Framework. Journal of Economic Interaction and Coordination, 1 (1). pp. 5-19. ISSN 1860-711X

Galliani, Pietro, Dezfouli, Amir, Bonilla, Edwin and Quadrianto, Novi (2017) Gray-box inference for structured Gaussian process models. Published in: Singh, Aarti and Zhu, Jerry, (eds.) Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS); Fort Lauderdale, Florida, USA; 20-22 April 2017. 54 353-361. JMLR ISSN 1938-7228

Gjoreski, Hristijan and Roggen, Daniel (2017) Unsupervised online activity discovery using temporal behaviour assumption. The 21st International Symposium on Wearable Computers (ISWC), Maui, Hawai, USA, 11.09 - 15.09.2017. Published in: International Symposium on Wearable Computers. 1 (3) 42-49. Association for Computing Machinery ISBN 9781450351881

H

Hamzah, Norkhairolizah (2021) The effects of functional decomposition (FD) intervention on student inventiveness. Doctoral thesis (PhD), University of Sussex.

I

Irvine, M A, Jackson, E L, Kenyon, E J, Cook, K J, Keeling, M J and Bull, J C (2016) Fractal measures of spatial pattern as a heuristic for return rate in vegetative systems. Royal Society Open Science, 3 (3). ISSN 2054-5703

K

Katsarakis, Stylianos (2022) Some approximation results for Bayesian inverse problems. Doctoral thesis (PhD), University of Sussex.

Kim, Cheol-Hyun, Park, C H, Kim, Soo Yong, Kim, Kyungsik and Scalas, Enrico (2007) Dynamics of avalanche activities in financial markets. International Journal of Modern Physics C, 18 (1). pp. 119-127. ISSN 0129-1831

Kim, Kyungsik, Yoon, Seong-Min, Kim, Soo Yong, Lee, Dong-In and Scalas, Enrico (2007) Dynamical mechanisms of the continuous-time random walk, multifractals, herd behaviors and minority games in financial markets. Journal of the Korean Physical Society, 50 (1). pp. 182-190. ISSN 0374-4884

Klingenstein, Sara, Hitchcock, Tim and DeDeo, Simon (2014) The civilizing process in London’s Old Bailey. Proceedings of the National Academy of Sciences, 111 (26). pp. 9419-8242. ISSN 1091-6490

L

Ledermann, Walter, Alexander, Carol and Ledermann, Daniel (2011) Random orthogonal matrix simulation. Linear Algebra and its Applications, 434 (6). pp. 1444-1467. ISSN 0024-3795

Lim, Gyuchang, Kim, Soo Yong, Scalas, Enrico and Kim, Kyungsik (2007) Volatilities, traded volumes, and the hypothesis of price increments in derivative securities. Physica A: Statistical Mechanics and its Applications, 382 (2). pp. 577-585. ISSN 0378-4371

Lim, Gyuchang, Kim, SooYong, Kim, Kyungsik, Lee, Dong-In and Scalas, Enrico (2008) Dynamical behaviors of inter-out-of-equilibrium state intervals in Korean futures exchange markets. Physica A: Statistical Mechanics and its Applications, 387 (12). pp. 2831-2836. ISSN 0378-4371

Lim, Gyuchang, Kim, SooYong, Scalas, Enrico, KIm, Kyungsik and Chang, Ki-Ho (2008) Analysis of price fluctuations in futures exchange markets. Physica A: Statistical Mechanics and its Applications, 387 (12). pp. 2823-2830. ISSN 0378-4371

Livan, Giacomo, Alfarano, Simone, Milakovic, Mishael and Scalas, Enrico (2015) A spectral perspective on excess volatility. Applied Economics Letters, 22 (90). pp. 745-750. ISSN 1350-4851

Livan, Giacomo, Alfarano, Simone and Scalas, Enrico (2011) Fine structure of spectral properties for random correlation matrices: an application to financial markets. Physical Review E, 84. 016113. ISSN 1539-3755

M

Minicozzi, Pamela, Rapallo, Fabio, Scalas, Enrico and Dondero, Francesco (2008) Accuracy and robustness of clustering algorithms for small-size applications in bioinformatics. Physica A Statistical Mechanics and its Applications, 387 (25). pp. 6310-6318. ISSN 0378-4371

N

Ni, Xiuyan, Quadrianto, Novi, Wang, Yusu and Chen, Chao (2017) Composing tree graphical models with persistent homology features for clustering mixed-type data. International Conference on Machine Learning (ICML), Sydney, Australia, 6 - 11 August 2017. Published in: Proceedings of the 34th International Conference on Machine Learning. 70 2622-2631. PMLR ISSN 1938-7228

O

Ordonez Morales, Francisco Javier and Roggen, Daniel (2016) Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations. In: 20th International Symposiumon Wearable Computers (ISWC) 2016, 12-16 September 2016, Heidelberg, Germany.

Oshungade, Stephen Ayodele (2015) The relationship between gross domestic product (GDP), inflation, import and export from a statistical point of view. Doctoral thesis (PhD), University of Sussex.

P

Poland, Simon P, Coelho, Simao, Krstajic, Nikola, Tyndall, David, Walker, Richard, Pittmily, James, Li, David, Henderson, Robert and Ameer-Beg, Simon (2013) Development of a fast TCSPC FLIM-FRET imaging system. In: SPIE BiOS.

Politi, Mauro and Scalas, Enrico (2007) Activity spectrum from waiting-time distribution. Physica A Statistical Mechanics and its Applications, 383 (1). pp. 43-48. ISSN 0378-4371

Politi, Mauro and Scalas, Enrico (2008) Fitting the empirical distribution of intertrade durations. Physica A: Statistical Mechanics and its Applications, 387 (8-9). pp. 2025-2034. ISSN 0378-4371

Q

Quadrianto, Novi and Buntine, Wray L (2010) Linear discriminant. In: Sammut, Claude and Webb, Geoffrey (eds.) Encyclopedia of Machine Learning. Springer, New York; London, pp. 601-603. ISBN 9780387307688

Quadrianto, Novi and Buntine, Wray L (2010) Linear regression. In: Encyclopedia of machine learning. Springer, pp. 603-606. ISBN 9780387307688

Quadrianto, Novi and Buntine, Wray L (2010) Regression. In: Encyclopedia of machine learning. Springer, New York; London, pp. 838-842. ISBN 9780387307688

Quadrianto, Novi, Kersting, Kristian and Xu, Zhao (2010) Gaussian process. In: Encyclopedia of machine learning. Springer, New York; London, pp. 428-439. ISBN 9780387307688

Quadrianto, Novi and Lampert, Christoph H (2013) Kernel-based learning. In: Encyclopedia of systems biology. Springer New York, New York, pp. 1114-1117. ISBN 9781441998620

Quadrianto, Novi and Sharmanska, Viktoriia (2018) Recycling privileged learning and distribution matching for fairness. 31st Annual Conference on Neural Information Processing Systems, Long Beach, California, US, 4-9 December 2017. Published in: Advances in Neural Information Processing Systems 30 (NIPS 2017). 1-12. Neural Information Processing Systems Foundation, Red Hook, NY.

R

Raberto, Marco, Scalas, Enrico, Cuniberti, Giovanni and Riani, Massimo (1999) Volatility in the Italian stock market: an empirical study. Physica A: Statistical Mechanics and its Applications, 269 (1). pp. 148-155. ISSN 0378-4371

Raberto, Marco, Scalas, Enrico and Mainardi, Francesco (2002) Waiting-times and returns in high-frequency financial data: an empirical study. Physica A: Statistical Mechanics and its Applications, 314 (1-4). pp. 749-755. ISSN 0378-4371

Rostron, Peter D, Fearn, Tom and Ramsey, Michael H (2020) Confidence intervals for robust estimates of measurement uncertainty. Accreditation and Quality Assurance. ISSN 0949-1775

S

Sazuka, Naoya, Inoue, Jun-Ichi and Scalas, Enrico (2009) The distribution of first-passage times and durations in FOREX and future markets. Physica A: Statistical Mechanics and its Applications, 388 (14). pp. 2839-2853. ISSN 0378-4371

Scalas, E, Cincotti, S, Dose, C and Raberto, M (2005) Fraudulent agents in an artificial financial market. In: Lux, Thomas, Reitz, Stefan and Samanidou, Eleni (eds.) Nonlinear dynamics and heterogenous interacting agents. Lecture notes in economics and mathematical systems (550). Springer, Berlin. ISBN 9783540272960

Scalas, Enrico (1998) Scaling in the market of futures. Physica A: Statistical Mechanics and its Applications, 253 (1-4). pp. 394-402. ISSN 0378-4371

Scalas, Enrico, Gorenflo, Rudolf, Luckock, Hugh, Mainardi, Francesco, Mantelli, Maurizio and Raberto, Marco (2004) Anomalous waiting times in high-frequency financial data. Quantitative Finance, 4 (6). pp. 695-702. ISSN 1469-7688

Scalas, Enrico, Kaizoji, Taisei, Kirchler, Michael, Huber, Jürgen and Tedeschi, Alessandra (2006) Waiting times between orders and trades in double-auction markets. Physica A: Statistical Mechanics and its Applications, 366. pp. 463-471. ISSN 0378-4371

Scalas, Enrico and Kim, Kyungsik (2007) The art of fitting financial time series with Levy stable distributions. Journal of the Korean Physical Society, 50 (1). pp. 105-111. ISSN 0374-4884

Scalas, Enrico, Radivojević, Tijana and Garibaldi, Ubaldo (2015) Wealth distribution and the Lorenz curve: a finitary approach. Journal of Economic Interaction and Coordination, 10 (1). pp. 79-89. ISSN 1860-711X

Sharmanska, Viktoriia, Hernández-Lobato, Daniel, Hernández-Lobato, Jose Miguel and Quadrianto, Novi (2016) Ambiguity helps: classification with disagreements in crowdsourced annotations. Published in: Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016); Las Vegas, Nevada; 26 June - 1 July 2016. 2194-2202. Institute of Electrical and Electronics Engineers ISSN 1063-6919 ISBN 9781467388504

Sharmanska, Viktoriia and Quadrianto, Novi (2017) In the era of deep convolutional features: are attributes still useful privileged data? In: Feris, Rogerio Schmidt, Lampert, Christoph and Parikh, Devi (eds.) Visual Attributes. Advances in computer vision and pattern recognition . Springer International Publishing, Cham, Switzerland, pp. 31-48. ISBN 9783319500751

Sharmanska, Viktoriia and Quadrianto, Novi (2016) Learning from the mistakes of others: matching errors in cross dataset learning. Published in: Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016); Las Vegas, Nevada; 26 June - 1 July 2016. 3967-3975. Institute of Electrical and Electronics Engineers ISSN 1063-6919 ISBN 9781467388504

Sharmanska, Viktoriia and Quadrianto, Novi (2017) Learning using privileged information. In: Sammut, Claude and Webb, Geoffrey I (eds.) Encyclopedia of machine learning and data mining. Springer US, Boston, MA, pp. 734-737. ISBN 9781489976857

T

Taylor, Joseph G, Sharmanska, Viktoriia, Kersting, Kristian, Weir, David and Quadrianto, Novi (2016) Learning using Unselected Features (LUFe). Published in: Kambhampati, Subbarao, (ed.) Proceedings of the 25th International Joint Conference on Artificial Intelligence; New York; 9–15 July 2016. 2060-2066. AAAI Press / International Joint Conferences on Artificial Intelligence ISBN 9781577357711

Thornton, Chris (2010) Gauging the value of good data: informational embodiment quantification. Adaptive Behavior, 18 (5). pp. 389-399. ISSN 10597123

Tol, Richard (2016) Comment on 'Quantifying the consensus on anthropogenic global warming in the scientific literature'. Environmental Research Letters, 11 (4). 048001. ISSN 1748-9326

Tóth, B, Scalas, E, Huber, J and Kirchler, M (2007) The value of information in a multi-agent market model: the luck of the uninformed. The European Physical Journal B - Condensed Matter, 55 (1). pp. 115-120. ISSN 1434-6028

W

Wang, Lin, Gjoreski, Hristijan, Ciliberto, Mathias, Mekki, Sami, Stefan, Valentin and Roggen, Daniel (2018) Benchmarking the SHL Recognition Challenge with classical and deep-learning pipelines. HASCA Workshop at Ubicomp 2018, Singapore, 8-12 October 2018. Published in: Murao, Kazuya, Enokibori, Yu, Gjoreski, Hristijan, Lago, Paula, Okita, Tsuyoshi, Siirtola, Pekka, Hiroi, Kei and Scholl, Philipp, (eds.) Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. 1626-1635. Association for Computing Machinery ISBN 9781450359665

Wang, Lin, Gjoreski, Hristijan, Murao, Kazuya, Okita, Tsuyoshi and Roggen, Daniel (2018) Summary of the Sussex-Huawei Locomotion-Transportation Recognition Challenge. HASCA Workshop at Ubicomp 2018, Singapore, 8-12 October, 2018. Published in: Murao, Kazuya, Enokibori, Yu, Gjoreski, Hristijan, Lago, Paula, Okita, Tsuyoshi, Siirtola, Pekka, Hiroi, Kei and Scholl, Philipp, (eds.) UbiComp '18 Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. 1521-1530. Association for Computing Machinery ISBN 9781450359665