Marco E. G. V. Cattaneo

Publication Activity (10 Years)

Years Active: 2003-2017
Publications (10 Years): 9

Top Topics

Locally Weighted

Linear Regression

Spectrum Sensing

Top Venues

Int. J. Approx. Reason.

Publications

Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
On the testability of coarsening assumptions: A hypothesis test for subgroup independence. Int. J. Approx. Reason. 90 (2017)
Duygu Içen, Marco E. G. V. Cattaneo
Different distance measures for fuzzy linear regression with Monte Carlo methods. Soft Comput. 21 (22) (2017)
Marco E. G. V. Cattaneo
Empirical Interpretation of Imprecise Probabilities. ISIPTA (2017)
Marco E. G. V. Cattaneo
The likelihood interpretation as the foundation of fuzzy set theory. Int. J. Approx. Reason. 90 (2017)
Marco E. G. V. Cattaneo
The Likelihood Interpretation of Fuzzy Data. SMPS (2016)
Marco E. G. V. Cattaneo
Conditional Probability Estimation. Probabilistic Graphical Models (2016)
Marco E. G. V. Cattaneo
On maxitive integration. Fuzzy Sets Syst. 304 (2016)
Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence. SMPS (2016)
Guilherme Pedro Aquino, Dayan Adionel Guimarães, Marco E. G. V. Cattaneo
Energy efficient scheme based on simultaneous transmission of the local decisions in cooperative spectrum sensing. KSII Trans. Internet Inf. Syst. 10 (3) (2016)
Dayan Adionel Guimarães, Guilherme Pedro Aquino, Marco E. G. V. Cattaneo
Resource-Efficient Fusion with Pre-Compensated Transmissions for Cooperative Spectrum Sensing. Sensors 15 (5) (2015)
Marco E. G. V. Cattaneo, Andrea Wiencierz
On the implementation of LIR: the case of simple linear regression with interval data. Comput. Stat. 29 (3) (2014)
Marco E. G. V. Cattaneo
Maxitive Integral of Real-Valued Functions. IPMU (1) (2014)
Marco E. G. V. Cattaneo
A Continuous Updating Rule for Imprecise Probabilities. IPMU (3) (2014)
Marco E. G. V. Cattaneo, Andrea Wiencierz
Likelihood-based Imprecise Regression. Int. J. Approx. Reason. 53 (8) (2012)
Alessandro Antonucci, Marco E. G. V. Cattaneo, Giorgio Corani
Likelihood-Based Robust Classification with Bayesian Networks. IPMU (3) (2012)
Andrea Wiencierz, Marco E. G. V. Cattaneo
An Exact Algorithm for Likelihood-Based Imprecise Regression in the Case of Simple Linear Regression with Interval Data. SMPS (2012)
Marco E. G. V. Cattaneo
Belief functions combination without the assumption of independence of the information sources. Int. J. Approx. Reason. 52 (3) (2011)
Marco E. G. V. Cattaneo
Fuzzy Probabilities Based on the Likelihood Function. SMPS (2008)
Marco E. G. V. Cattaneo
Likelihood-Based Statistical Decisions. ISIPTA (2005)
Marco E. G. V. Cattaneo
Combining Belief Functions Issued from Dependent Sources. ISIPTA (2003)