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Outputs (15)

Topological Invariants for Tilings (2017)
Conference Proceeding
Hunton, J. (2017). Topological Invariants for Tilings. In M. Baake, D. Damanik, J. Kellendonk, & D. Lenz (Eds.), . https://doi.org/10.4171/owr/2017/46

The mathematical theory of aperiodic order grew out of various predecessors in discrete geometry, harmonic analysis and mathematical physics, and developed rapidly after the discovery of real world quasicrystals in 1982 by Shechtman. Many mathematica... Read More about Topological Invariants for Tilings.

A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm (2017)
Conference Proceeding
Nasiakou, A., Alamaniotis, M., Tsoukalas, L. H., & Karagiannis, G. (2017). A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm. In 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA). https://doi.org/10.1109/iisa.2017.8316375

The clustering of any type of consumers (residential, commercial, industrial) is of great importance in the operation of Smart Grids. In this paper, we propose a three-stage hierarchical scheme for residential consumers' partitioning using the Hierar... Read More about A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm.

Elastic 3D shape analysis using square-root normal field representation (2017)
Conference Proceeding
Laga, H., Jermyn, I. H., Kurtek, S., & Srivastava, A. (2017). Elastic 3D shape analysis using square-root normal field representation. In 2017 IEEE 56th Annual Conference on Decision and Control (CDC) : Melbourne, Australia, 12-15 December 2017 ; proceedings (2711-2717). https://doi.org/10.1109/cdc.2017.8264053

Shape is an important physical property of natural and man-made 3D objects that characterizes their external appearances. Understanding differences between shapes, and modeling the variability within and across shape classes, hereinafter referred to... Read More about Elastic 3D shape analysis using square-root normal field representation.

Qualitative comparison of techniques for evaluating performance of short term power system reliability management (2017)
Conference Proceeding
Heylen, E., Deconinck, G., Van Hertem, D., Troffaes, M. C., & Kazemtabrizi, B. (2017). Qualitative comparison of techniques for evaluating performance of short term power system reliability management. In 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) : Torino, Italy, 26-29 September 2017 : conference proceedings (333-339). https://doi.org/10.1109/isgteurope.2017.8260148

Adequate performance evaluation of different short term reliability management approaches and criteria is crucial in order to convince transmission system operators to substitute or complement the currently used N-1 criterion with more efficient, alt... Read More about Qualitative comparison of techniques for evaluating performance of short term power system reliability management.

A Three-Stage Scheme for Consumers' Partitioning Using Hierarchical Clustering Algorithm (2017)
Conference Proceeding
Nasiakou, A., Alamaniotis, M., Toukalas, L., & Karagiannis, G. (2017). A Three-Stage Scheme for Consumers' Partitioning Using Hierarchical Clustering Algorithm. In 2017 8th International Conference on Information, Intelligence, Systems, and Applications (IISA) : 28-30 August, Larnaca, Cyprus. Conference handbook (370-376). https://doi.org/10.1109/iisa.2017.8316375

The clustering of any type of consumers (residential, commercial, industrial) is of great importance in the operation of Smart Grids. In this paper, we propose a three-stage hierarchical scheme for residential consumers' partitioning using the Hierar... Read More about A Three-Stage Scheme for Consumers' Partitioning Using Hierarchical Clustering Algorithm.

Sample quantiles corresponding to mid p-values for zero-modification tests (2017)
Conference Proceeding
Einbeck, J., & Wilson, P. (2017). Sample quantiles corresponding to mid p-values for zero-modification tests. In M. Grzegorczyk, & G. Ceoldo (Eds.), Proceedings of the 32nd International Workshop on Statistical Modelling : Groningen, Netherlands, 3-7 July, 2017 (275-279)

Imprecise swing weighting for multi-attribute utility elicitation based on partial preferences (2017)
Conference Proceeding
Troffaes, M. C., & Sahlin, U. (2017). Imprecise swing weighting for multi-attribute utility elicitation based on partial preferences. In A. Antonucci, G. Corani, I. Couso, & S. Destercke (Eds.), Proceedings of the Tenth International Symposium on Imprecise Probability : Theories and Applications, 10-14 July 2017, Lugano (Switzerland) (333-345)

We describe a novel approach to multi-attribute utility elicitation which is both general enough to cover a wide range of problems, whilst at the same time simple enough to admit reasonably straightforward calculations. We allow both utilities and pr... Read More about Imprecise swing weighting for multi-attribute utility elicitation based on partial preferences.

Efficient algorithms for checking avoiding sure loss (2017)
Conference Proceeding
Nakharutai, N., Troffaes, M. C., & Caiado, C. C. (2017). Efficient algorithms for checking avoiding sure loss. In A. Antonucci, G. Corani, I. Couso, & S. Destercke (Eds.), Proceedings of the Tenth International Symposium on Imprecise Probability : Theories and Applications, 10-14 July 2017, Lugano (Switzerland) (241-252)

Sets of desirable gambles provide a general representation of uncertainty which can handle partial information in a more robust way than precise probabilities. Here we study the effectiveness of linear programming algorithms for determining whether o... Read More about Efficient algorithms for checking avoiding sure loss.

A note on imprecise Monte Carlo over credal sets via importance sampling (2017)
Conference Proceeding
Troffaes, M. C. (2017). A note on imprecise Monte Carlo over credal sets via importance sampling. In A. Antonucci, G. Corani, I. Couso, & S. Destercke (Eds.), Proceedings of the Tenth International Symposium on Imprecise Probability : Theories and Applications, 10-14 July 2017, Lugano (Switzerland) (325-332)

This brief paper is an exploratory investigation of how we can apply sensitivity analysis over importance sampling weights in order to obtain sampling estimates of lower previsions described by a parametric family of distributions. We demonstrate our... Read More about A note on imprecise Monte Carlo over credal sets via importance sampling.