Marco E. G. V. Cattaneo

21 papers Journal 9Unranked 11
YearRankTypeTitle / Venue / Authors
2017 J jnl
Different distance measures for fuzzy linear regression with Monte Carlo methods.
Soft Comput.
Duygu Içen, Marco E. G. V. Cattaneo
2017 — conf
Empirical Interpretation of Imprecise Probabilities.
ISIPTA
Marco E. G. V. Cattaneo
2017 J jnl
On the testability of coarsening assumptions: A hypothesis test for subgroup independence.
Int. J. Approx. Reason.
Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
2017 J jnl
The likelihood interpretation as the foundation of fuzzy set theory.
Int. J. Approx. Reason.
Marco E. G. V. Cattaneo
2016 — conf
Conditional Probability Estimation.
Probabilistic Graphical Models
Marco E. G. V. Cattaneo
2016 J jnl
Energy efficient scheme based on simultaneous transmission of the local decisions in cooperative spectrum sensing.
KSII Trans. Internet Inf. Syst.
Guilherme Pedro Aquino, Dayan Adionel Guimarães, Marco E. G. V. Cattaneo
2016 J jnl
On maxitive integration.
Fuzzy Sets Syst.
Marco E. G. V. Cattaneo
2016 — conf
Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence.
SMPS
Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
2016 — conf
The Likelihood Interpretation of Fuzzy Data.
SMPS
Marco E. G. V. Cattaneo
2015 J jnl
Resource-Efficient Fusion with Pre-Compensated Transmissions for Cooperative Spectrum Sensing.
Sensors
Dayan Adionel Guimarães, Guilherme Pedro Aquino, Marco E. G. V. Cattaneo
2014 — conf
A Continuous Updating Rule for Imprecise Probabilities.
IPMU (3)
Marco E. G. V. Cattaneo
2014 — conf
Maxitive Integral of Real-Valued Functions.
IPMU (1)
Marco E. G. V. Cattaneo
2014 J jnl
On the implementation of LIR: the case of simple linear regression with interval data.
Comput. Stat.
Marco E. G. V. Cattaneo, Andrea Wiencierz
2012 — conf
An Exact Algorithm for Likelihood-Based Imprecise Regression in the Case of Simple Linear Regression with Interval Data.
SMPS
Andrea Wiencierz, Marco E. G. V. Cattaneo
2012 — conf
Likelihood-Based Robust Classification with Bayesian Networks.
IPMU (3)
Alessandro Antonucci, Marco E. G. V. Cattaneo, Giorgio Corani
2012 J jnl
Likelihood-based Imprecise Regression.
Int. J. Approx. Reason.
Marco E. G. V. Cattaneo, Andrea Wiencierz
2011 J jnl
Belief functions combination without the assumption of independence of the information sources.
Int. J. Approx. Reason.
Marco E. G. V. Cattaneo
2011 — ch.
Foundations of Probability.
International Encyclopedia of Statistical Science
Thomas Augustin, Marco E. G. V. Cattaneo
2008 — conf
Fuzzy Probabilities Based on the Likelihood Function.
SMPS
Marco E. G. V. Cattaneo
2005 — conf
Likelihood-Based Statistical Decisions.
ISIPTA
Marco E. G. V. Cattaneo
2003 — conf
Combining Belief Functions Issued from Dependent Sources.
ISIPTA
Marco E. G. V. Cattaneo