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Upstream passage of adult sea trout (Salmo trutta) at a low-head weir with an Archimedean screw hydropower turbine and co-located fish pass (2018)
Journal Article
Dodd, J. R., Bolland, J. D., Hateley, J., Cowx, I. G., Walton, S. E., Cattaneo, M. E. G. V., & Noble, R. A. A. (2018). Upstream passage of adult sea trout (Salmo trutta) at a low-head weir with an Archimedean screw hydropower turbine and co-located fish pass. Marine and Freshwater Research, 69(12), 1822-1833. https://doi.org/10.1071/MF18125

© 2018 CSIRO. The exploitation of riverine systems for renewable energy has resulted in large numbers of small-scale hydropower schemes on low-head weirs. Although considered a clean and 'green' energy source in terms of emissions, hydropower can aff... Read More about Upstream passage of adult sea trout (Salmo trutta) at a low-head weir with an Archimedean screw hydropower turbine and co-located fish pass.

On the testability of coarsening assumptions: a hypothesis test for subgroup independence (2017)
Journal Article
Plass, J., Cattaneo, M., Schollmeyer, G., & Augustin, T. (2017). On the testability of coarsening assumptions: a hypothesis test for subgroup independence. International Journal of Approximate Reasoning, 90, 292-306. https://doi.org/10.1016/j.ijar.2017.07.014

Since coarse(ned) data naturally induce set-valued estimators, analysts often assume coarsening at random (CAR) to force them to be single-valued. Focusing on a coarse categorical response variable and a precisely observed categorical covariate, we r... Read More about On the testability of coarsening assumptions: a hypothesis test for subgroup independence.

The likelihood interpretation as the foundation of fuzzy set theory (2017)
Journal Article
Cattaneo, M. E. G. V. (2017). The likelihood interpretation as the foundation of fuzzy set theory. International Journal of Approximate Reasoning, 90, (333-340). doi:10.1016/j.ijar.2017.08.006. ISSN 0888-613X

In order to use fuzzy sets in real-world applications, an interpretation for the values of membership functions is needed. The history of fuzzy set theory shows that the interpretation in terms of statistical likelihood is very natural, although the... Read More about The likelihood interpretation as the foundation of fuzzy set theory.

Empirical interpretation of imprecise probabilities (2017)
Journal Article
Cattaneo, M. (2017). Empirical interpretation of imprecise probabilities. Proceedings of Machine Learning Research, 62, 61-72

This paper investigates the possibility of a frequentist interpretation of imprecise probabilities, by generalizing the approach of Bernoulli’s Ars Conjectandi. That is, by studying, in the case of games of chance, under which assumptions imprecise p... Read More about Empirical interpretation of imprecise probabilities.

Conditional probability estimation (2016)
Journal Article
Cattaneo, M. (2016). Conditional probability estimation. Proceedings of Machine Learning Research, 52, 86-97

This paper studies in particular an aspect of the estimation of conditional probability distributions by maximum likelihood that seems to have been overlooked in the literature on Bayesian networks: The information conveyed by the conditioning event... Read More about Conditional probability estimation.

Testing of coarsening mechanisms: Coarsening at random versus subgroup independence (2016)
Journal Article
Cattaneo, M. E. G. V., Augustin, T., Plass, J., & Schollmeyer, G. (2017). Testing of coarsening mechanisms: Coarsening at random versus subgroup independence. Advances in Intelligent Systems and Computing, 456, 415-422. doi:10.1007/978-3-319-42972-4_51

Abstract Since coarse(ned) data naturally induce set-valued estimators, analysts often assume coarsening at random (CAR) to force them to be single-valued. Using the PASS data as an example, we re-illustrate the impossibility to test CAR and contrast... Read More about Testing of coarsening mechanisms: Coarsening at random versus subgroup independence.

The likelihood interpretation of fuzzy data (2016)
Journal Article
Cattaneo, M. E. G. V. (2017). The likelihood interpretation of fuzzy data. Advances in Intelligent Systems and Computing, 456, 113-120. doi:10.1007/978-3-319-42972-4_14

© Springer International Publishing Switzerland 2017. The interpretation of degrees of membership as statistical likelihood is probably the oldest interpretation of fuzzy sets. It allows in particular to easily incorporate fuzzy data and fuzzy infere... Read More about The likelihood interpretation of fuzzy data.

Transverse fracture properties of green wood and the anatomy of six temperate tree species (2016)
Journal Article
Özden, S., Ennos, A. R., & Cattaneo, M. E. (2017). Transverse fracture properties of green wood and the anatomy of six temperate tree species. Forestry, 90(1), 58-69. https://doi.org/10.1093/forestry/cpw023

© Institute of Chartered Foresters, 2016. All rights reserved. The aim of this study was to investigate the effect of wood anatomy and density on the mechanics of fracture when wood is split in the radial-longitudinal (RL) and tangential-longitudinal... Read More about Transverse fracture properties of green wood and the anatomy of six temperate tree species.

Different distance measures for fuzzy linear regression with Monte Carlo methods (2016)
Journal Article
Cattaneo, M. E., & İçen, D. (2017). Different distance measures for fuzzy linear regression with Monte Carlo methods. Soft Computing, 21(22), 6687-6697 . https://doi.org/10.1007/s00500-016-2218-7

The aim of this study was to determine the best distance measure for estimating the fuzzy linear regression model parameters with Monte Carlo (MC) methods. It is pointed out that only one distance measure is used for fuzzy linear regression with MC m... Read More about Different distance measures for fuzzy linear regression with Monte Carlo methods.

Energy efficient scheme based on simultaneous transmission of the local decisions in cooperative spectrum sensing (2016)
Journal Article
Aquino, G. P., Guimarães, D. A., & Cattaneo, M. E. (2016). Energy efficient scheme based on simultaneous transmission of the local decisions in cooperative spectrum sensing. KSII transactions on internet and information systems, 10(3), 996-1015. doi:10.3837/tiis.2016.03.003

A common concern regarding cooperative spectrum sensing (CSS) schemes is the occupied bandwidth and the energy consumption during the transmissions of sensing information to the fusion center over the reporting control channels. This concern is inten... Read More about Energy efficient scheme based on simultaneous transmission of the local decisions in cooperative spectrum sensing.

On maxitive integration (2016)
Journal Article
Cattaneo, M. E. G. V. (2016). On maxitive integration. Fuzzy Sets and Systems, 304, (65-81). doi:10.1016/j.fss.2016.02.008. ISSN 0165-0114

A functional is said to be maxitive if it commutes with the (pointwise) supremum operation. Such functionals find application in particular in decision theory and related fields. In the present paper, maxitive functionals are characterized as integra... Read More about On maxitive integration.

Improved decision for a resource-efficient fusion scheme in cooperative spectrum sensing (2015)
Conference Proceeding
Guimarães, D. A., Aquino, G. P., & Cattaneo, M. E. G. V. (2015). Improved decision for a resource-efficient fusion scheme in cooperative spectrum sensing. doi:10.1109/IWT.2015.7224556

Paper presented at at 2015 International Workshop on Telecommunications (IWT), 14th to 17th of June, Santa Rita do Sapucai, Brazil. Abstract Recently, a novel decision fusion scheme for cooperative spectrum sensing was proposed, aiming at saving reso... Read More about Improved decision for a resource-efficient fusion scheme in cooperative spectrum sensing.

Resource-efficient fusion with pre-compensated transmissions for cooperative spectrum sensing (2015)
Journal Article
Cattaneo, M. E., Aquino, G. P., & Guimarães, D. A. (2015). Resource-efficient fusion with pre-compensated transmissions for cooperative spectrum sensing. Sensors, 15(5), 10891-10908. doi:10.3390/s150510891

© 2015 by the authors; licensee MDPI, Basel, Switzerland. Recently, a novel fusion scheme for cooperative spectrum sensing was proposed for saving resources in the control channel. Secondary users (SUs) simultaneously report their decisions using bin... Read More about Resource-efficient fusion with pre-compensated transmissions for cooperative spectrum sensing.

Maxitive Integral of Real-Valued Functions (2014)
Journal Article
Cattaneo, M. E. G. V. (2014). Maxitive Integral of Real-Valued Functions. Communications in computer and information science, 442 CCIS(PART 1), 226-235. doi:10.1007/978-3-319-08795-5_24

The paper pursues the definition of a maxitive integral on all real-valued functions (i.e., the integral of the pointwise maximum of two functions must be the maximum of their integrals). This definition is not determined by maxitivity alone: additio... Read More about Maxitive Integral of Real-Valued Functions.

On the implementation of LIR: The case of simple linear regression with interval data (2013)
Journal Article
Cattaneo, M. E., & Wiencierz, A. (2014). On the implementation of LIR: The case of simple linear regression with interval data. Computational statistics, 29(3-4), 743-767. doi:10.1007/s00180-013-0459-9

This paper considers the problem of simple linear regression with interval-censored data. That is, n pairs of intervals are observed instead of the n pairs of precise values for the two variables (dependent and independent). Each of these inter... Read More about On the implementation of LIR: The case of simple linear regression with interval data.

Statistical modelling under epistemic data imprecision : some results on estimating multinomial distributions and logistic regression for coarse categorical data
Conference Proceeding
Cattaneo, M., Augustin, T., Plass, J., & Schollmeyer, G. Statistical modelling under epistemic data imprecision : some results on estimating multinomial distributions and logistic regression for coarse categorical data

Paper presented at 9th International Symposium on Imprecise Probability: Theories and Applications, Pescara, Italy, 2015. Abstract: The paper deals with parameter estimation for categorical data under epistemic data imprecision, where for a part of t... Read More about Statistical modelling under epistemic data imprecision : some results on estimating multinomial distributions and logistic regression for coarse categorical data.

On the validity of minimin and minimax methods for support vector regression with interval data
Conference Proceeding
Cattaneo, M., & Wiencierz, A. On the validity of minimin and minimax methods for support vector regression with interval data

Paper delivered at 9th International Symposium on Imprecise Probability: Theories and Applications, Pescara, Italy, 2015. Abstract: In the recent years, generalizations of support vector methods for analyzing interval-valued data have been suggested... Read More about On the validity of minimin and minimax methods for support vector regression with interval data.


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