A. Maratea

发表

Vessel to shore data movement through the Internet of Floating Things: A microservice platform at the edge

Aniello Castiglione, Raffaele Montella, Sokol Kosta, 2020, Concurr. Comput. Pract. Exp..

Historical trends of rain and air temperature in the Dominican Republic

A. Maratea, P. Aucelli, M. Izzo, 2020, International Journal of Climatology.

Pitfalls of local explainability in complex black-box models

Alessio Ferone, Antonio Maratea, A. Maratea, 2021, WILF.

Neural Networks for Mass Spectra Classification: Preliminary Results

M. Ceccarelli, A. Maratea, A. Facchiano, 2008 .

Fuzzy Cognitive Maps Extraction from Enriched Tweets

A. Maratea, A. Ciaramella, Marialuisa Santillo, 2022, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Record linkage of banks and municipalities through multiple criteria and neural networks

Angelo Ciaramella, Antonio Maratea, Giuseppe Pio Cianci, 2020, PeerJ Comput. Sci..

Virtual genetic coding and time series analysis for alternative splicing prediction in C. elegans

Michele Ceccarelli, Antonio Maratea, M. Ceccarelli, 2009, Artif. Intell. Medicine.

An Alternative Splicing Predictor in C.Elegans Based on Time Series Analysis

Michele Ceccarelli, Antonio Maratea, M. Ceccarelli, 2007, WILF.

A New Climatic Map of the Dominican Republic Based on the Thornthwaite Classification

A. Maratea, P. Aucelli, H. Segura, 2010 .

LAND SENSITIVITY TO DESERTIFICATION IN THE DOMINICAN REPUBLIC: AN ADAPTATION OF THE ESA METHODOLOGY

A. Maratea, P. Aucelli, M. Izzo, 2013 .

Variable Width Rough-Fuzzy c-Means

Ardelio Galletti, Alessio Ferone, Antonio Maratea, 2017, 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Adaptive Quick Reduct for Feature Drift Detection

Alessio Ferone, Antonio Maratea, A. Maratea, 2021, Algorithms.

Improving fuzzy clustering of biological data by metric learning with side information

Michele Ceccarelli, Antonio Maratea, M. Ceccarelli, 2008, Int. J. Approx. Reason..

Adjusted F-measure and kernel scaling for imbalanced data learning

Alfredo Petrosino, Antonio Maratea, Mario Manzo, 2014, Inf. Sci..

Rough-Fuzzy Entropy in Neighbourhood Characterization

Alessio Ferone, Antonio Maratea, A. Maratea, 2019, IDCS.

A resampling strategy based on bootstrap to reduce the effect of large blunders in GPS absolute positioning

Antonio Maratea, Salvatore Gaglione, Antonio Angrisano, 2017, Journal of Geodesy.

Deep Neural Networks and Explainable Machine Learning

Alessio Ferone, Antonio Maratea, A. Maratea, 2018, WILF.

Triadic Motifs in the Partitioned World Trade Web

Antonio Maratea, Alfredo Petrosino, Mario Manzo, 2016, EUSPN/ICTH.

A GPU-Parallel Algorithm for Fast Hybrid BFS-DFS Graph Traversal

Livia Marcellino, Vincenzo Duraccio, Antonio Maratea, 2017, 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Integrating rough set principles in the graded possibilistic clustering

Alessio Ferone, Antonio Maratea, A. Maratea, 2019, Inf. Sci..

Test-Cost-Sensitive Quick Reduct

Tsvetozar Georgiev, Alessio Ferone, Antonio Maratea, 2018, WILF.

Asymmetric Kernel Scaling for Imbalanced Data Classification

Alfredo Petrosino, Antonio Maratea, A. Petrosino, 2011, WILF.

Decoy Meta–Clustering Through Rough Graded Possibilistic C-Medoids

Alessio Ferone, Antonio Maratea, A. Maratea, 2020, 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Decoy clustering through graded possibilistic c-medoids

Alessio Ferone, Antonio Maratea, A. Maratea, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Rough Graded Possibilistic Meta: Outlier Detection in Granular Clustering

Alessio Ferone, Antonio Maratea, A. Maratea, 2019, CompSysTech.

Security and Storage Issues in Internet of Floating Things Edge-Cloud Data Movement

Sokol Kosta, Raffaele Montella, Diana Di Luccio, 2019, PPAM.

Fuzzy logic applied to GNSS

Antonio Maratea, Salvatore Gaglione, Silvio Del Pizzo, 2019, Measurement.