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2020 – today
- 2024
[j59]Enrico De Santis
, Antonello Rizzi:
Modeling failures in smart grids by a bilinear logistic regression approach. Neural Networks 174: 106245 (2024)- [j58]Enrico De Santis, Alessio Martino, Antonello Rizzi:
Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4812-4829 (2024) - [c102]Sabereh Taghdisi Rastkar, Saeid Jamili, Enrico De Santis, Antonello Rizzi:
Improving Prediction Performances by Integrating Second Derivative in Microgrids Energy Load Forecasting. IJCNN 2024: 1-8 - [c101]Danial Zendehdel, Antonino Capillo, Enrico De Santis, Antonello Rizzi:
An Extended Battery Equivalent Circuit Model for an Energy Community Real Time EMS. IJCNN 2024: 1-9 - [i14]Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework. CoRR abs/2402.01688 (2024) - 2023
- [j57]Enrico De Santis, Antonello Rizzi:
Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing. Cogn. Comput. 15(3): 976-997 (2023) - [j56]Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi:
An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia-Ukraine Conflict. Inf. 14(6): 330 (2023) - [j55]Alberto Marchisio, Federico Teodonio, Antonello Rizzi, Muhammad Shafique:
ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA. Microprocess. Microsystems 97: 104763 (2023) - [j54]Enrico De Santis, Giovanni De Santis, Antonello Rizzi:
Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10143-10160 (2023) - [j53]Alessio Martino, Enrico De Santis, Antonello Rizzi:
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study. SN Comput. Sci. 4(3): 314 (2023) - [c100]Sabereh Taghdisi Rastkar, Danial Zendehdel, Enrico De Santis, Antonello Rizzi:
A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids. IJCCI 2023: 459-467 - [c99]Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi:
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context. IJCNN 2023: 1-9 - 2022
- [j52]Alessio Martino, Luca Baldini, Antonello Rizzi:
On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study. Algorithms 15(5): 148 (2022) - [j51]Enrico De Santis, Parisa Naraei, Alessio Martino, Alireza Sadeghian, Antonello Rizzi:
Multifractal Characterization and Modeling of Blood Pressure Signals. Algorithms 15(8): 259 (2022) - [j50]Luca Baldini, Alessio Martino, Antonello Rizzi:
A class-specific metric learning approach for graph embedding by information granulation. Appl. Soft Comput. 115: 108199 (2022) - [j49]Enrico De Santis, Alessio Martino, Antonello Rizzi:
On component-wise dissimilarity measures and metric properties in pattern recognition. PeerJ Comput. Sci. 8: e1106 (2022) - [j48]Khushboo Munir, Fabrizio Frezza, Antonello Rizzi:
Deep Learning Hybrid Techniques for Brain Tumor Segmentation. Sensors 22(21): 8201 (2022) - [j47]Giuseppe Granato, Alessio Martino, Luca Baldini, Antonello Rizzi:
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers: An Extended Analysis. SN Comput. Sci. 3(4): 310 (2022) - [j46]Luca Baldini, Alessio Martino, Antonello Rizzi:
A Multi-objective Optimization Approach for the Synthesis of Granular Computing-Based Classification Systems in the Graph Domain. SN Comput. Sci. 3(6): 436 (2022) - [j45]Enrico De Santis, Francesco Arnò, Antonello Rizzi:
Estimation of fault probability in medium voltage feeders through calibration techniques in classification models. Soft Comput. 26(15): 7175-7193 (2022) - [c98]Emanuele Ferrandino, Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
A Comparison between Crisp and Fuzzy Logic in an Autonomous Driving System for Boats. FUZZ-IEEE 2022: 1-8 - [c97]Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat. IJCCI 2022: 199-208 - [c96]Giuseppe Granato, Alessio Martino, Antonello Rizzi:
A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks. IJCNN 2022: 1-9 - [c95]Enrico De Santis, Francesco Arnò, Alessio Martino, Antonello Rizzi:
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains. IJCNN 2022: 1-8 - 2021
- [j44]Alessio Martino, Antonello Rizzi:
An Enhanced Filtering-Based Information Granulation Procedure for Graph Embedding and Classification. IEEE Access 9: 15426-15440 (2021) - [c94]Emanuele Ferrandino, Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning. IJCCI 2021: 185-195 - [c93]Luca Baldini, Alessio Martino, Antonello Rizzi:
Relaxed Dissimilarity-based Symbolic Histogram Variants for Granular Graph Embedding. IJCCI 2021: 221-235 - [c92]Luca Baldini, Antonello Rizzi:
A Multi-agent Approach for Graph Classification. IJCCI 2021: 334-343 - 2020
- [j43]Enrico De Santis, Alessio Martino, Antonello Rizzi:
An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event. IEEE Access 8: 132527-132538 (2020) - [j42]Stefano Leonori, Maurizio Paschero, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
Optimization strategies for Microgrid energy management systems by Genetic Algorithms. Appl. Soft Comput. 86 (2020) - [j41]Antonello Rizzi, Giuseppe Granato, Andrea Baiocchi:
Frame-by-frame Wi-Fi attack detection algorithm with scalable and modular machine-learning design. Appl. Soft Comput. 91: 106188 (2020) - [j40]Stefano Leonori, Alessio Martino, Massimiliano Luzi, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
A generalized framework for ANFIS synthesis procedures by clustering techniques. Appl. Soft Comput. 96: 106622 (2020) - [j39]Alessio Martino, Alessandro Giuliani, Virginia Todde, Mariano Bizzarri, Antonello Rizzi:
Metabolic networks classification and knowledge discovery by information granulation. Comput. Biol. Chem. 84: 107187 (2020) - [j38]Alessandro Cinti, Filippo Maria Bianchi, Alessio Martino, Antonello Rizzi:
A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation. Cogn. Comput. 12(2): 369-387 (2020) - [j37]Alessio Martino, Enrico De Santis, Alessandro Giuliani, Antonello Rizzi:
Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations. Entropy 22(7): 794 (2020) - [j36]Alessio Martino, Antonello Rizzi:
(Hyper)graph Kernels over Simplicial Complexes. Entropy 22(10): 1155 (2020) - [j35]Antonio Di Noia, Alessio Martino, Paolo Montanari, Antonello Rizzi:
Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction. Soft Comput. 24(6): 4393-4406 (2020) - [j34]Massimiliano Luzi, Fabio Massimo Frattale Mascioli, Maurizio Paschero, Antonello Rizzi:
A White-Box Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells. IEEE Trans. Neural Networks Learn. Syst. 31(2): 371-382 (2020) - [c91]Luca Baldini, Alessio Martino, Antonello Rizzi:
Complexity vs. Performance in Granular Embedding Spaces for Graph Classification. IJCCI 2020: 338-349 - [c90]Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
Mining M-Grams by a Granular Computing Approach for Text Classification. IJCCI 2020: 350-360 - [c89]Giuseppe Granato, Alessio Martino, Luca Baldini, Antonello Rizzi:
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers. IJCCI 2020: 412-422 - [c88]Enrico De Santis, Antonino Capillo, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
Classification and Calibration Techniques in Predictive Maintenance: A Comparison between GMM and a Custom One-Class Classifier. IJCCI 2020: 503-511 - [c87]Emanuele Ferrandino, Antonino Capillo, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
Nanogrids: A Smart Way to Integrate Public Transportation Electric Vehicles into Smart Grids. IJCCI 2020: 512-520 - [c86]Luca Baldini, Alessio Martino, Antonello Rizzi:
Exploiting Cliques for Granular Computing-based Graph Classification. IJCNN 2020: 1-9 - [c85]Mauro Giampieri, Luca Baldini, Enrico De Santis, Antonello Rizzi:
Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification. IJCNN 2020: 1-8 - [c84]Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition. IJCNN 2020: 1-8 - [c83]Alessio Martino, Enrico De Santis, Antonello Rizzi:
An Ecology-based Index for Text Embedding and Classification. IJCNN 2020: 1-8 - [p3]Alessio Martino, Mauro Giampieri, Massimiliano Luzi, Antonello Rizzi:
Data Mining by Evolving Agents for Clusters Discovery and Metric Learning. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 23-35 - [p2]Stefano Leonori, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
FIS Synthesis by Clustering for Microgrid Energy Management Systems. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 61-71 - [p1]Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
An Improved PSO for Flexible Parameters Identification of Lithium Cells Equivalent Circuit Models. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 229-238
2010 – 2019
- 2019
- [j33]Alessio Martino, Alessandro Giuliani, Antonello Rizzi:
(Hyper)Graph Embedding and Classification via Simplicial Complexes. Algorithms 12(11): 223 (2019) - [j32]Stefano Leonori, Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min-Max Classifier. IEEE Trans. Emerg. Top. Comput. Intell. 3(3): 193-204 (2019) - [j31]Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Enrico Maiorino, Fabio Massimo Frattale Mascioli:
A Novel Neural Networks Ensemble Approach for Modeling Electrochemical Cells. IEEE Trans. Neural Networks Learn. Syst. 30(2): 343-354 (2019) - [c82]Luca Baldini, Alessio Martino, Antonello Rizzi:
Stochastic Information Granules Extraction for Graph Embedding and Classification. IJCCI 2019: 391-402 - [c81]Alessio Martino, Enrico De Santis, Luca Baldini, Antonello Rizzi:
Calibration Techniques for Binary Classification Problems: A Comparative Analysis. IJCCI 2019: 487-495 - 2018
- [j30]Enrico De Santis, Antonello Rizzi, Alireza Sadeghian:
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids. Swarm Evol. Comput. 39: 267-278 (2018) - [c80]Mauro Giampieri, Antonello Rizzi:
An evolutionary agents based system for data mining and local metric learning. ICIT 2018: 1461-1466 - [c79]Antonino Capillo, Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Energy Transduction Optimization of a Wave Energy Converter by Evolutionary Algorithms. IJCNN 2018: 1-8 - [c78]Mauro Giampieri, Enrico De Santis, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction. IJCNN 2018: 1-8 - [c77]Stefano Leonori, Antonello Rizzi, Maurizio Paschero, Fabio Massimo Frattale Mascioli:
Microgrid Energy Management by ANFIS Supported by an ESN Based Prediction Algorithm. IJCNN 2018: 1-8 - [c76]Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
An ANFIS Based System Identification Procedure for Modeling Electrochemical Cells. IJCNN 2018: 1-8 - [c75]Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
A Binary PSO Approach for Real Time Optimal Balancing of Electrochemical Cells. IJCNN 2018: 1-8 - [c74]Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering. IJCNN 2018: 1-8 - [c73]Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Supervised Approaches for Protein Function Prediction by Topological Data Analysis. IJCNN 2018: 1-8 - [c72]Enrico De Santis, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction. IJCNN 2018: 1-8 - [c71]Enrico De Santis, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids. IJCNN 2018: 1-8 - 2017
- [b1]Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen:
Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative Analysis. Springer Briefs in Computer Science, Springer 2017, ISBN 978-3-319-70337-4, pp. 1-72 - [j29]Enrico De Santis, Antonello Rizzi, Alireza Sadeghian:
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids. Appl. Soft Comput. 60: 135-149 (2017) - [j28]Enrico De Santis, Alireza Sadeghian, Antonello Rizzi:
A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current. Int. J. Bifurc. Chaos 27(14): 1750211:1-1750211:25 (2017) - [j27]Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Data-driven detrending of nonstationary fractal time series with echo state networks. Inf. Sci. 382-383: 359-373 (2017) - [j26]Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery. Soft Comput. 21(5): 1347-1369 (2017) - [j25]Antonello Rizzi, Mario Antonelli, Massimiliano Luzi:
Instrument Learning and Sparse NMD for Automatic Polyphonic Music Transcription. IEEE Trans. Multim. 19(7): 1405-1415 (2017) - [c70]Enrico De Santis, Antonello Rizzi, Alireza Sadeghian:
A learning intelligent System for classification and characterization of localized faults in Smart Grids. CEC 2017: 2669-2676 - [c69]Stefano Leonori, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
An optimized microgrid energy management system based on FIS-MO-GA paradigm. FUZZ-IEEE 2017: 1-6 - [c68]Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Efficient Approaches for Solving the Large-Scale k-Medoids Problem: Towards Structured Data. IJCCI (Selected Papers) 2017: 199-219 - [c67]Stefano Leonori, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
ANFIS Synthesis by Clustering for Microgrids EMS Design. IJCCI 2017: 328-337 - [c66]Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Efficient Approaches for Solving the Large-Scale k-medoids Problem. IJCCI 2017: 338-347 - [c65]Maurizio Paschero, Rosanna Pinto, Emanuele Marchionne, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Design and validation of a contactless charging system for electric bicycles. RTSI 2017: 1-6 - [c64]Alessio Martino, Enrico Maiorino, Alessandro Giuliani, Mauro Giampieri, Antonello Rizzi:
Supervised Approaches for Function Prediction of Proteins Contact Networks from Topological Structure Information. SCIA (1) 2017: 285-296 - [i13]Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen:
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting. CoRR abs/1705.04378 (2017) - [i12]Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian, Corrado Moiso:
Identifying user habits through data mining on call data records. CoRR abs/1711.08398 (2017) - [i11]Alessandro Cinti, Filippo Maria Bianchi, Antonello Rizzi:
A novel algorithm for online inexact string matching and its FPGA implementation. CoRR abs/1712.03560 (2017) - 2016
- [j24]Filippo Maria Bianchi, Simone Scardapane, Antonello Rizzi, Aurelio Uncini, Alireza Sadeghian:
Granular Computing Techniques for Classification and Semantic Characterization of Structured Data. Cogn. Comput. 8(3): 442-461 (2016) - [j23]Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian, Corrado Moiso:
Identifying user habits through data mining on call data records. Eng. Appl. Artif. Intell. 54: 49-61 (2016) - [j22]Lorenzo Livi, Enrico Maiorino, Antonello Rizzi, Alireza Sadeghian:
On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series. Int. J. Bifurc. Chaos 26(1): 1650007:1-1650007:9 (2016) - [j21]Lorenzo Livi, Alessandro Giuliani, Antonello Rizzi:
Toward a multilevel representation of protein molecules: Comparative approaches to the aggregation/folding propensity problem. Inf. Sci. 326: 134-145 (2016) - [j20]Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi:
Two density-based k-means initialization algorithms for non-metric data clustering. Pattern Anal. Appl. 19(3): 745-763 (2016) - [j19]Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, Alireza Sadeghian, Witold Pedrycz:
Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices. IEEE Trans. Fuzzy Syst. 24(5): 1022-1034 (2016) - [c63]Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
A PSO algorithm for transient dynamic modeling of lithium cells through a nonlinear RC filter. CEC 2016: 279-286 - [c62]Stefano Leonori, Enrico De Santis, Antonello Rizzi, F. M. Frattale Mascioli:
Multi objective optimization of a fuzzy logic controller for energy management in microgrids. CEC 2016: 319-326 - [c61]Massimiliano Luzi, Maurizio Paschero, Angelo Rossini, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Comparison between two nonlinear Kalman Filters for reliable SoC estimation on a prototypal BMS. IECON 2016: 5501-5506 - [c60]Stefano Leonori, Enrico De Santis, Antonello Rizzi, F. M. Frattale Mascioli:
Optimization of a microgrid energy management system based on a Fuzzy Logic Controller. IECON 2016: 6615-6620 - [c59]V. Lisena, Maurizio Paschero, Valentina Gentile, P. Amicucci, Antonello Rizzi, F. M. Frattale Mascioli:
A new method to restore the water quality level through the use of electric boats. ISC2 2016: 1-4 - [i10]Maurizio Paschero, Gian Luca Storti, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giorgio Rizzoni:
A novel mechanical analogy based battery model for SoC estimation using a multi-cell EKF. CoRR abs/1601.04554 (2016) - [i9]Enrico De Santis, Alireza Sadeghian, Antonello Rizzi:
A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids. CoRR abs/1604.04789 (2016) - 2015
- [j18]Filippo Maria Bianchi, Enrico De Santis, Antonello Rizzi, Alireza Sadeghian:
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition. IEEE Access 3: 1931-1943 (2015) - [j17]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Granular modeling and computing approaches for intelligent analysis of non-geometric data. Appl. Soft Comput. 27: 567-574 (2015) - [j16]Antonello Rizzi, Alfonso Iacovazzi, Andrea Baiocchi, Silvia Colabrese:
A low complexity real-time Internet traffic flows neuro-fuzzy classifier. Comput. Networks 91: 752-771 (2015) - [j15]Gian Luca Storti, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Comparison between time-constrained and time-unconstrained optimization for power losses minimization in Smart Grids using genetic algorithms. Neurocomputing 170: 353-367 (2015) - [j14]Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi:
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification. Neurocomputing 170: 368-383 (2015) - [j13]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Classifying sequences by the optimized dissimilarity space embedding approach: A case study on the solubility analysis of the E. coli proteome. J. Intell. Fuzzy Syst. 28(6): 2725-2733 (2015) - [j12]Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian:
Prediction of telephone calls load using Echo State Network with exogenous variables. Neural Networks 71: 204-213 (2015) - [j11]Masoomeh Moharrer, Hooman Tahayori, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi:
Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction. Soft Comput. 19(1): 237-250 (2015) - [j10]Hooman Tahayori, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi:
Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels. IEEE Trans. Fuzzy Syst. 23(4): 1014-1029 (2015) - [c58]Enrico De Santis, Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli:
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach. IJCNN 2015: 1-8 - [i8]Francesca Possemato, Maurizio Paschero, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
On the impact of topological properties of smart grids in power losses optimization problems. CoRR abs/1501.04659 (2015) - [i7]Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Data-driven detrending of nonstationary fractal time series with echo state networks. CoRR abs/1510.07146 (2015) - 2014
- [j9]Lorenzo Livi, Hooman Tahayori, Alireza Sadeghian, Antonello Rizzi:
Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions. Appl. Soft Comput. 17: 79-89 (2014) - [j8]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Optimized dissimilarity space embedding for labeled graphs. Inf. Sci. 266: 47-64 (2014) - [j7]Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
A Granular Computing approach to the design of optimized graph classification systems. Soft Comput. 18(2): 393-412 (2014) - [c57]Antonio Di Noia, Paolo Montanari, Antonello Rizzi:
Occupational Diseases Risk Prediction by Genetic Optimization: Towards a Non-exclusive Classification Approach. IJCCI (Selected Papers) 2014: 63-77 - [c56]Antonio Di Noia, Paolo Montanari, Antonello Rizzi:
Occupational Diseases Risk Prediction by Cluster Analysis and Genetic Optimization. IJCCI (ECTA) 2014: 68-75 - [c55]Enrico De Santis, Gianluca Distante, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi:
Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids. IJCCI (ECTA) 2014: 95-103 - [c54]Enrico Maiorino, Francesca Possemato, Valerio Modugno, Antonello Rizzi:
Information Granules Filtering for Inexact Sequential Pattern Mining by Evolutionary Computation. IJCCI (ECTA) 2014: 104-111 - [c53]Enrico De Santis, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi:
A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids. IJCCI (Selected Papers) 2014: 113-130 - [c52]Enrico Maiorino, Francesca Possemato, Valerio Modugno, Antonello Rizzi:
Noise Sensitivity of an Information Granules Filtering Procedure by Genetic Optimization for Inexact Sequential Pattern Mining. IJCCI (Selected Papers) 2014: 131-150 - [c51]Antonello Rizzi, Francesca Possemato, Stefano Caschera, Maurizio Paschero, Fabio Massimo Frattale Mascioli:
An Ordering Procedure for Admissible Network Configurations to Regularize DFR Optimization Problems in Smart Grids. IJCCI (ECTA) 2014: 273-280 - [c50]Valerio Modugno, Francesca Possemato, Antonello Rizzi:
Combining Piecewise Linear Regression and a Granular Computing Framework for Financial Time Series Classification. IJCCI (ECTA) 2014: 281-288 - [c49]Enrico De Santis, Lorenzo Livi, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi:
Fault recognition in smart grids by a one-class classification approach. IJCNN 2014: 1949-1956 - [c48]Filippo Maria Bianchi, Simone Scardapane, Lorenzo Livi, Aurelio Uncini, Antonello Rizzi:
An interpretable graph-based image classifier. IJCNN 2014: 2339-2346 - [c47]Gian Luca Storti, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
A Radial configurations search algorithm for joint PFC and DFR optimization in Smart Grids. ISIE 2014: 944-949 - [i6]Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi:
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification. CoRR abs/1407.7008 (2014) - [i5]Lorenzo Livi, Alessandro Giuliani, Antonello Rizzi:
Toward a Multilevel Representation of Protein Molecules: Comparative Approaches to the Aggregation/Folding Propensity Problem. CoRR abs/1407.7559 (2014) - [i4]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Classifying Sequences by the Optimized Dissimilarity Space Embedding Approach: a Case Study on the Solubility Analysis of the E. coli Proteome. CoRR abs/1408.3873 (2014) - [i3]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation. CoRR abs/1408.5286 (2014) - [i2]Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
An Agent-Based Algorithm exploiting Multiple Local Dissimilarities for Clusters Mining and Knowledge Discovery. CoRR abs/1409.4988 (2014) - [i1]Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Building pattern recognition applications with the SPARE library. CoRR abs/1410.5263 (2014) - 2013
- [j6]Lorenzo Livi, Antonello Rizzi:
Graph ambiguity. Fuzzy Sets Syst. 221: 24-47 (2013) - [j5]Lorenzo Livi, Antonello Rizzi:
The graph matching problem. Pattern Anal. Appl. 16(3): 253-283 (2013) - [c46]Francesca Possemato, Gian Luca Storti, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Two evolutionary computational approaches for active power losses minimization in Smart Grids. IFSA/NAFIPS 2013: 401-406 - [c45]Gian Luca Storti, Francesca Possemato, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Optimal distribution feeders configuration for active power losses minimization by genetic algorithms. IFSA/NAFIPS 2013: 407-412 - [c44]Enrico De Santis, Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli:
Genetic optimization of a fuzzy control system for energy flow management in micro-grids. IFSA/NAFIPS 2013: 418-423 - [c43]Lorenzo Livi, Hooman Tahayori, Alireza Sadeghian, Antonello Rizzi:
Aggregating α-planes for Type-2 fuzzy set matching. IFSA/NAFIPS 2013: 860-865 - [c42]Antonello Rizzi, Lorenzo Livi, Hooman Tahayori, Alireza Sadeghian:
Matching general type-2 fuzzy sets by comparing the vertical slices. IFSA/NAFIPS 2013: 866-871 - [c41]Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi:
Matching of time-varying labeled graphs. IJCNN 2013: 1-8 - [c40]Lorenzo Livi, Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian:
Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure. IJCNN 2013: 1-8 - [c39]Francesca Possemato, Antonello Rizzi:
Automatic text categorization by a Granular Computing approach: Facing unbalanced data sets. IJCNN 2013: 1-8 - [c38]Antonello Rizzi, Francesca Possemato, Lorenzo Livi, Azzurra Sebastiani, Alessandro Giuliani, Fabio Massimo Frattale Mascioli:
A dissimilarity-based classifier for generalized sequences by a granular computing approach. IJCNN 2013: 1-8 - [c37]Antonello Rizzi, Silvia Colabrese, Andrea Baiocchi:
Low complexity, high performance neuro-fuzzy system for Internet traffic flows early classification. IWCMC 2013: 77-82 - 2012
- [c36]Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi:
Graph Recognition by Seriation and Frequent Substructures Mining. ICPRAM (1) 2012: 186-191 - [c35]Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi:
Inexact Graph Matching through Graph Coverage. ICPRAM (1) 2012: 269-272 - [c34]Lorenzo Livi, Antonello Rizzi:
Parallel algorithms for tensor product-based inexact graph matching. IJCNN 2012: 1-8 - [c33]Antonello Rizzi, Guido Del Vescovo, Lorenzo Livi, Fabio Massimo Frattale Mascioli:
A new Granular Computing approach for sequences representation and classification. IJCNN 2012: 1-8 - [c32]Maurizio Paschero, Guido Del Vescovo, Leonardo Benucci, Antonello Rizzi, Marco Santello, Gianluca Fabbri, Fabio Massimo Frattale Mascioli:
A real time classifier for emotion and stress recognition in a vehicle driver. ISIE 2012: 1690-1695 - [c31]Gianluca Fabbri, Maurizio Paschero, Guido Del Vescovo, Hector Chiacchiarini, Antonello Rizzi, F. M. Frattale Mascioli:
A simulation tool for the management of energy flows in Hybrid-Electric Vehicles. ISIE 2012: 1696-1701 - [c30]Guido Del Vescovo, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
An open software system for signal routing and processing in hybrid vehicles. ISIE 2012: 1702-1707 - [c29]Gian Luca Storti, Francesca Possemato, Maurizio Paschero, Silvio Alessandroni, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Active Power Losses Constrained Optimization in Smart Grids by Genetic Algorithms. WIRN 2012: 279-288 - 2011
- [c28]Alessandro Cinti, Antonello Rizzi:
Neurofuzzy Min-Max Networks Implementation on FPGA . IJCCI (NCTA) 2011: 51-57 - 2010
- [c27]Mario Antonelli, Antonello Rizzi, Guido Del Vescovo:
A Query by Humming System for Music Information Retrieval. ISDA 2010: 586-591 - [c26]Gianluca Maiolini, Andrea Baiocchi, Antonello Rizzi, C. Di Iollo:
Statistical classification of services tunneled into SSH connections by a K-means based learning algorithm. IWCMC 2010: 742-746
2000 – 2009
- 2009
- [c25]Gianluca Maiolini, Andrea Baiocchi, Antonello Rizzi, Sara Ferri, Letizia Gabbrielli:
On the Fly Encoded Application Flows Recognition by Relying on Statistical Features of IP Traffic. ICT4Justice 2009: 89-96 - [c24]Gianluca Maiolini, Andrea Baiocchi, Alfonso Iacovazzi, Antonello Rizzi:
Real Time Identification of SSH Encrypted Application Flows by Using Cluster Analysis Techniques. Networking 2009: 182-194 - 2008
- [c23]Andrea Baiocchi, Gianluca Maiolini, Giacomo Molina, Antonello Rizzi:
On-the-fly Statistical Classification of Internet Traffic at Application Layer Based on Cluster Analysis. CISIS 2008: 178-185 - [c22]Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini:
Genre classification of compressed audio data. MMSP 2008: 654-659 - [c21]Mario Antonelli, Antonello Rizzi:
A Correntropy-based voice to MIDI transcription algorithm. MMSP 2008: 978-983 - 2007
- [c20]Guido Del Vescovo, Antonello Rizzi:
Automatic Classification of Graphs by Symbolic Histograms. GrC 2007: 410-416 - [c19]Guido Del Vescovo, Antonello Rizzi:
Online Handwriting Recognition by the Symbolic Histograms Approach. GrC 2007: 686-690 - [c18]Fabio Massimo Frattale Mascioli, Antonello Rizzi, Massimo Panella, Claudia Bettiol:
Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks. WILF 2007: 253-260 - 2006
- [c17]Antonello Rizzi, Nicola Maurizio Buccino, Massimo Panella, Aurelio Uncini:
Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data. CIMCA/IAWTIC 2006: 210 - [c16]Massimo Panella, Antonello Rizzi:
Baseband Filter Banks for Neural Prediction. CIMCA/IAWTIC 2006: 221 - 2004
- [j4]Massimo Panella, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli:
From Circuits To Neurofuzzy Networks: Synthesis By Numerical And Linguistic Information. J. Circuits Syst. Comput. 13(1): 205-236 (2004) - [c15]Massimo Panella, G. Grisanti, Antonello Rizzi:
A Probabilistic PCA Clustering Approach to the SVD Estimate of Signal Subspaces. WIRN 2004: 271-279 - 2003
- [j3]Massimo Panella, Antonello Rizzi, Giuseppe Martinelli:
Refining accuracy of environmental data prediction by MoG neural networks. Neurocomputing 55(3-4): 521-549 (2003) - [c14]Giovanni Costantini, Antonello Rizzi, Daniele Casali:
Recognition of musical instruments by generalized min-max classifiers. NNSP 2003: 555-564 - [c13]Massimo Panella, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli:
A Neuro-fuzzy System for the Prediction of the Vehicle Traffic Flow. WILF 2003: 110-118 - [c12]Massimo Panella, Fabio Massimo Frattale Mascioli, Antonello Rizzi, Giuseppe Martinelli:
ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction. WIRN 2003: 77-84 - 2002
- [j2]Antonello Rizzi, Massimo Panella, Fabio Massimo Frattale Mascioli:
Adaptive resolution min-max classifiers. IEEE Trans. Neural Networks 13(2): 402-414 (2002) - [c11]Antonello Rizzi, Massimo Panella, F. M. Frattale Mascioli, Giuseppe Martinelli:
Automatic feature selection for adaptive resolution classifiers. FUZZ-IEEE 2002: 384-389 - [c10]Giuseppe Martinelli, Fabio Massimo Frattale Mascioli, Massimo Panella, Antonello Rizzi:
Extended Random Neural Networks. WIRN 2002: 75-82 - 2001
- [c9]Fabio Massimo Frattale Mascioli, A. Mancini, Antonello Rizzi, Massimo Panella, Giuseppe Martinelli:
Neurofuzzy Approximator based on Mamdani's Model. WIRN 2001: 23-59 - 2000
- [j1]Fabio Massimo Frattale Mascioli, Antonello Rizzi, Massimo Panella, Giuseppe Martinelli:
Scale-based approach to hierarchical fuzzy clustering. Signal Process. 80(6): 1001-1016 (2000) - [c8]F. M. Frattale Mascioli, Massimo Panella, Antonello Rizzi, Giuseppe Martinelli:
Scale-based clustering with latent variables. EUSIPCO 2000: 1-4 - [c7]Antonello Rizzi, F. M. Frattale Mascioli, Giuseppe Martinelli:
Generalized min-max classifier. FUZZ-IEEE 2000: 36-41 - [c6]Antonello Rizzi, Massimo Panella, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli:
A Recursive Algorithm for Fuzzy Min-Max Networks. IJCNN (6) 2000: 541-546 - [c5]Fabio Massimo Frattale Mascioli, Antonello Rizzi:
Human components in productive systems. ISTAS 2000: 213-216
1990 – 1999
- 1998
- [c4]F. M. Frattale Mascioli, G. Risi, Antonello Rizzi, Giuseppe Martinelli:
A nonexclusive classification system based on co-operative fuzzy clustering. EUSIPCO 1998: 1-4 - [c3]Fabio Massimo Frattale Mascioli, A. Mancini, Antonello Rizzi, Giuseppe Martinelli:
Function Approximation with Noisy Training Data using FBF Neural Networks. NC 1998: 900-906 - 1997
- [c2]Fabio Massimo Frattale Mascioli, Giuseppe Martinelli, Antonello Rizzi:
A constructive algorithm for fuzzy neural networks. ICASSP 1997: 3193-3196 - 1990
- [c1]Fabio Gabrieli, A. Dimundo, Antonello Rizzi, G. Colangelit, A. Stagni:
Modeling vocabularies for a connected speech recognizer. ICSLP 1990: 713-716
Coauthor Index
Fabio Massimo Frattale Mascioli
aka: F. M. Frattale Mascioli
aka: F. M. Frattale Mascioli
[i14] [c98] [c97] [c94] [j42] [j40] [j34] [c90] [c88] [c87] [c84] [p2] [p1] [j32] [j31] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c69] [c68] [c67] [c66] [c65] [c63] [c62] [c61] [c60] [c59] [i10] [j15] [c58] [c55] [c53] [c51] [c49] [c47] [i1] [c46] [c45] [c44] [c38] [c33] [c32] [c31] [c30] [c29] [c18] [j4] [c13] [c12] [j2] [c11] [c10] [c9] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2]
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