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2020 – today
- 2024
[j28]Gaia Mattei
, Pietro Patrizio Ciro Aucelli, Angelo Ciaramella, Luigi De Luca, Alberto Greco, Gennaro Mellone, Francesco Peluso, Salvatore Troisi, Gerardo Pappone:
Multi-Method Technics and Deep Neural Networks Tools on Board ARGO USV for the Geoarchaeological and Geomorphological Mapping of Coastal Areas: The Case of Puteoli Roman Harbour. Sensors 24(4): 1090 (2024)- [c58]Ciro Giuseppe De Vita, Gennaro Mellone, Angelo Casolaro, Massimiliano Giordano Orsini, José Luis González, Angelo Ciaramella:
Federated Learning and Crowdsourced Weather Data: Practice and Experience. e-Science 2024: 1-9 - [c57]Lorenzo D'Errico, Emanuel Di Nardo, Angelo Ciaramella, Mariacarla Staffa:
A 3D-CNNs Approach to Classify Users' Emotion through EEG-based Topographical Maps in HRI. HRI (Companion) 2024: 397-401 - [c56]Angelo Ciaramella, Emanuel Di Nardo, Giuseppe Vettigli:
Recursive Learning Framework for Structured Data Agglomeration. IJCNN 2024: 1-6 - [c55]Antonio Agliata, Antonio Pilato, Sorrentino Mariacarmen, Salvatore Bottiglieri, Emanuel Di Nardo, Angelo Ciaramella:
Generative AI and Emotional Health: Innovations with Haystack. ISCC 2024: 1-4 - [c54]Vincenzo Bevilacqua, Antonio Di Marino, Emanuel Di Nardo, Angelo Ciaramella, Ivanoe De Falco, Giovanna Sannino:
Cross-domain Super-Resolution in Medical Imaging. ISCC 2024: 1-6 - [c53]Michele Di Capua, Emanuel Di Nardo, Angelo Ciaramella, Gennaro Iannuzzo, Aniello De Prisco, Daniele Ruggeri Laderchi, Pietro Catalano, Pietro D'Ambrosio, Salvatore Moscariello:
Design the modern supply chain: The SmarTwin Projec. Ital-IA 2024: 212-217 - [c52]Francesco Camastra, Angelo Ciaramella, Angelo Casolaro, Pasquale De Trino, Alessio Ferone, Giovanni Hauber, Gennaro Iannuzzo, Vincenzo Mariano Scarrica, Antonio Junior Spoleto, Antonino Staiano, Maria Concetta Vitale:
An integrated intelligent surveillance system for Industrial areas. Ital-IA 2024: 236-241 - [c51]Paola Barra, Francesco Camastra, Angelo Ciaramella, Ciro Giuseppe De Vita, Emanuel Di Nardo, Raffaele Montella, Gennaro Mellone, Vincenzo Scarrica, Antonino Staiano:
Safeguarding the Marine and Coastal Environment with Artificial Intelligence. Ital-IA 2024: 534-539 - [c50]Gennaro Mellone, Ciro Giuseppe De Vita, Giuseppe Coviello, Pietro Patrizio Ciro Aucelli, Angelo Ciaramella, Raffaele Montella:
Improving Real-Time Data Streams Performance on Autonomous Surface Vehicles using DataX. PDP 2024: 222-229 - [c49]Gennaro Mellone, Ciro Giuseppe De Vita, Dario Caramiello, David Exposito Singh, Javier García-Blas, Angelo Ciaramella:
Workflows' applications in computational environmental science: a survey. WiDE@EuroSys 2024: 1-7 - [e4]Nicola Bena, Beniamino Di Martino, Antonio Maratea, Alessandro Sperduti, Emanuel Di Nardo, Angelo Ciaramella, Raffaele Montella, Claudio A. Ardagna:
Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), Naples, Italy, September 11-13, 2023. CEUR Workshop Proceedings 3606, CEUR-WS.org 2024 [contents] - 2023
- [j27]Emanuel Di Nardo, Angelo Ciaramella:
Tracking vision transformer with class and regression tokens. Inf. Sci. 619: 276-287 (2023) - [c48]Ciro Giuseppe De Vita, Gennaro Mellone, Dante D. Sánchez-Gallegos, Giuseppe Coviello, Diego Romano, Marco Lapegna, Angelo Ciaramella:
Citizen Science for the Sea with Information Technologies: An Open Platform for Gathering Marine Data and Marine Litter Detection from Leisure Boat Instruments. e-Science 2023: 1-9 - [c47]Paola Barra, Giosuè Orefice, Alessia Auriemma Citarella, Modesto Fernando Castrillón Santana, Angelo Ciaramella:
Litter segmentation with LOTS dataset. GoodIT 2023: 1-5 - [c46]Michele Di Capua, Angelo Ciaramella, Aniello De Prisco:
Machine Learning and Computer Vision for the automation of processes in advanced logistics: the Integrated Logistic Platform (ILP) 4.0. ISM 2023: 326-338 - [c45]Maurizio Atzori, Angelo Ciaramella, Claudia Diamantini, Beniamino Di Martino, Salvatore Distefano, Tullio Facchinetti, Fabrizio Montecchiani, Antonino Nocera, Giancarlo Ruffo, Roberto Trasarti:
Dataspaces: Concepts, Architectures and Initiatives. itaDATA 2023 - [c44]Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, Simon Mewes, Ould el Moctar, Angelo Ciaramella:
Prediction of Wave Energy Spectrum Based on Ship Motions Using a Data-Driven Approach. itaDATA 2023 - [c43]Andrea Lombardi, Emanuel Di Nardo, Angelo Ciaramella:
Skip-SegFormer - Efficient Semantic Segmentation for urban driving. Ital-IA 2023: 54-59 - [c42]Francesco Camastra, Angelo Ciaramella, Emanuel Di Nardo, Alessio Ferone, Antonio Maratea, Raffaele Montella, Antonino Staiano:
AI-based Monitoring of Coastal and Marine Environments. Ital-IA 2023: 575-579 - [c41]Paola Barra, Alessia Auriemma Citarella, Giosuè Orefice, Modesto Castrillón Santana, Angelo Ciaramella:
LOTS: Litter On The Sand dataset for litter segmentation. MVA 2023: 1-4 - [c40]Gennaro Mellone, Ciro Giuseppe De Vita, Dante Domizzi Sánchez-Gallegos, Diana Di Luccio, Gaia Mattei, Francesco Peluso, Pietro Patrizio Ciro Aucelli, Angelo Ciaramella, Raffaele Montella:
A containerized distributed processing platform for autonomous surface vehicles: preliminary results for marine litter detection. PDP 2023: 144-148 - [c39]Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras:
Message from the General Chairs: PDP 2023. PDP 2023: xii-xiii - [c38]Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras:
Message from the Organizing Committee Chairs: PDP 2023. PDP 2023: xiv - 2022
- [j26]Angelo Ciaramella, Emanuel Di Nardo, Daniela Terracciano, Lia Conte, Ferdinando Febbraio, Amelia Cimmino:
A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology. BMC Bioinform. 23-S(6): 569 (2022) - [j25]Francesco Camastra, Vincenzo Capone, Angelo Ciaramella, Angelo Riccio, Antonino Staiano:
Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation. Environ. Model. Softw. 150: 105343 (2022) - [c37]Ciro Giuseppe De Vita, Gennaro Mellone, Diana Di Luccio, Sokol Kosta, Angelo Ciaramella, Raffaele Montella:
AIQUAM: Artificial Intelligence-based water QUAlity Model. e-Science 2022: 401-402 - [c36]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c35]Antonio Maratea, Angelo Ciaramella, Marialuisa Santillo:
Fuzzy Cognitive Maps Extraction from Enriched Tweets. FUZZ-IEEE 2022: 1-8 - [c34]Antonio Maratea, Angelo Ciaramella, Rita Perna:
The Journal Pattern for Streaming Data. itaDATA 2022: 188-199 - [e3]Angelo Ciaramella, Corrado Mencar, Susana Montes, Stefano Rovetta:
Proceedings of WILF 2021, the 13th International Workshop on Fuzzy Logic and Applications (WILF 2021), Vietri sul Mare, Italy, December 20-22, 2021. CEUR Workshop Proceedings 3074, CEUR-WS.org 2022 [contents] - 2021
- [j24]Antonio de Falco, Zoltán Dezsö, Francesco Ceccarelli, Luigi Cerulo, Angelo Ciaramella, Michele Ceccarelli:
Adaptive one-class Gaussian processes allow accurate prioritization of oncology drug targets. Bioinform. 37(10): 1420-1427 (2021) - [j23]Paolo Cazzaniga, Maria Raposo, Daniela Besozzi, Ivan Merelli, Antonino Staiano, Angelo Ciaramella, Riccardo Rizzo, Luca Manzoni:
Selected papers from the 15th and 16th international conference on Computational Intelligence Methods for Bioinformatics and Biostatistics. BMC Bioinform. 22-S(2): 90 (2021) - [c33]Stefano Fiscale, Pasquale De Luca, Laura Inno, Livia Marcellino, Ardelio Galletti, Alessandra Rotundi, Angelo Ciaramella, Giovanni Covone, Elisa Quintana:
A GPU Algorithm for Outliers Detection in TESS Light Curves. ICCS (5) 2021: 420-432 - [c32]Francesco Camastra, Angelo Ciaramella, Salvatore Sposato, Antonino Staiano:
A fuzzy rule base minimization perspective in XAI. WILF 2021 - [c31]Emanuel Di Nardo, Angelo Ciaramella:
Advanced Fuzzy Relational Neural Network. WILF 2021 - 2020
- [j22]Angelo Ciaramella, Davide Nardone, Antonino Staiano:
Data integration by fuzzy similarity-based hierarchical clustering. BMC Bioinform. 21-S(10): 350 (2020) - [j21]Le Hoang Son, Angelo Ciaramella, Duong Thi Thu Huyen, Antonino Staiano, Tran Manh Tuan, Pham Van Hai:
Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. Neural Comput. Appl. 32(18): 15237-15248 (2020) - [j20]Le Hoang Son, Angelo Ciaramella, Duong Thi Thu Huyen, Antonino Staiano, Tran Manh Tuan, Pham Van Hai:
Correction to: Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. Neural Comput. Appl. 32(23): 17807 (2020) - [j19]Antonio Maratea, Angelo Ciaramella, Giuseppe Pio Cianci:
Record linkage of banks and municipalities through multiple criteria and neural networks. PeerJ Comput. Sci. 6: e258 (2020) - [c30]Angelo Ciaramella, Pasquale Salma:
A Neuro-Fuzzy Based Approach for Resting-state Detection Using A Consumer-grade EEG. FUZZ-IEEE 2020: 1-4 - [c29]Francesco Camastra, Vincenzo Capone, Angelo Ciaramella, Tony Christian Landi, Angelo Riccio, Antonino Staiano:
Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction. ICPR Workshops (6) 2020: 26-33 - [c28]Angelo Ciaramella, Francesco Perrotta, Gerardo Pappone, Pietro Aucelli, Francesco Peluso, Gaia Mattei:
Environment Object Detection for Marine ARGO Drone by Deep Learning. ICPR Workshops (6) 2020: 121-129 - [p7]Francesco Camastra, Angelo Ciaramella, Antonio Maratea, Le Hoang Son, Antonino Staiano:
Semantic Maps for Knowledge Management of Web and Social Information. Computational Intelligence for Semantic Knowledge Management 2020: 39-51 - [p6]Angelo Ciaramella, Davide Nardone, Antonino Staiano:
Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario. Neural Approaches to Dynamics of Signal Exchanges 2020: 119-131 - [e2]Maria Raposo, Paulo A. Ribeiro, Susana Sério, Antonino Staiano, Angelo Ciaramella:
Computational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Caparica, Portugal, September 6-8, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11925, Springer 2020, ISBN 978-3-030-34584-6 [contents]
2010 – 2019
- 2019
- [j18]Angelo Ciaramella, Antonino Staiano:
On the Role of Clustering and Visualization Techniques in Gene Microarray Data. Algorithms 12(6): 123 (2019) - [j17]Elena Chianese, Francesco Camastra, Angelo Ciaramella, Tony Christian Landi, Antonino Staiano, Angelo Riccio:
Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. Ecol. Informatics 49: 54-61 (2019) - [j16]Davide Nardone, Angelo Ciaramella, Antonino Staiano:
A Sparse-Modeling Based Approach for Class Specific Feature Selection. PeerJ Comput. Sci. 5: e237 (2019) - [c27]Raffaele Montella, Diana Di Luccio, Angelo Ciaramella, Ian T. Foster:
StormSeeker: A Machine-Learning-Based Mediterranean Storm Tracer. IDCS 2019: 444-456 - [p5]Mario Iannicelli, Davide Nardone, Angelo Ciaramella, Antonino Staiano:
Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysis. Quantifying and Processing Biomedical and Behavioral Signals 2019: 87-96 - [e1]Raffaele Montella, Angelo Ciaramella, Giancarlo Fortino, Antonio Guerrieri, Antonio Liotta:
Internet and Distributed Computing Systems - 12th International Conference, IDCS 2019, Naples, Italy, October 10-12, 2019, Proceedings. Lecture Notes in Computer Science 11874, Springer 2019, ISBN 978-3-030-34913-4 [contents] - [i2]Davide Nardone, Angelo Ciaramella, Antonino Staiano:
A Sparse-Modeling based approach for Class-Specific feature selection. PeerJ Prepr. 7: e27740 (2019) - 2018
- [c26]Angelo Ciaramella, Davide Nardone, Antonino Staiano:
Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values. CIBB 2018: 3-10 - [c25]Francesco Camastra, Angelo Ciaramella, Le Hoang Son, Angelo Riccio, Antonino Staiano:
Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction. WILF 2018: 123-133 - [p4]Angelo Ciaramella, Antonio Maratea, Emanuela Spagnoli:
Semantic Maps of Twitter Conversations. Multidisciplinary Approaches to Neural Computing 2018: 327-338 - 2017
- [c24]Giuseppe Vettigli, Angelo Ciaramella:
Fuzzy clustering of structured data: Some preliminary results. FUZZ-IEEE 2017: 1-6 - [c23]Francesco Camastra, Angelo Ciaramella, Antonino Staiano:
On the Estimation of Pollen Density on Non-target Lepidoptera Food Plant Leaves in Bt-Maize Exposure Models: Open Problems and Possible Neural Network-Based Solutions. ICANN (1) 2017: 407-414 - [c22]Andrea Cimmino, Angelo Ciaramella, Giovanni Dezio, Pasquale Salma Jr.:
Non-linear PCA Neural Network for EEG Noise Reduction in Brain-Computer Interface. IIH-MSP (1) 2017: 405-413 - [c21]Daniele Davino, Francesco Camastra, Angelo Ciaramella, Antonino Staiano:
Spam Detection by Machine Learning-Based Content Analysis. IIH-MSP (1) 2017: 415-422 - 2016
- [j15]Angelo Ciaramella, Giulio Giunta:
Packet loss recovery in audio multimedia streaming by using compressive sensing. IET Commun. 10(4): 387-392 (2016) - [j14]Angelo Ciaramella, Marco Gianfico, Giulio Giunta:
Compressive sampling and adaptive dictionary learning for the packet loss recovery in audio multimedia streaming. Multim. Tools Appl. 75(24): 17375-17392 (2016) - [p3]Angelo Ciaramella, Antonino Staiano, Guido Cervone, Stefano Alessandrini:
A Bayesian-Based Neural Network Model for Solar Photovoltaic Power Forecasting. Advances in Neural Networks 2016: 169-177 - 2015
- [j13]Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace:
A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference. Expert Syst. Appl. 42(3): 1710-1716 (2015) - [p2]Francesco Camastra, Angelo Ciaramella, Alessio Placitelli, Antonino Staiano:
Machine Learning-Based Web Documents Categorization by Semantic Graphs. Advances in Neural Networks 2015: 75-82 - 2014
- [j12]Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace:
TÉRA: A tool for the environmental risk assessment of genetically modified plants. Ecol. Informatics 24: 186-193 (2014) - 2013
- [j11]Francesco Camastra, Angelo Ciaramella, Antonino Staiano:
Machine learning and soft computing for ICT security: an overview of current trends. J. Ambient Intell. Humaniz. Comput. 4(2): 235-247 (2013) - [c20]Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace:
Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System. ICIAP Workshops 2013: 428-435 - [c19]Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Salvatore Sposato, Antonino Staiano, Giovanni Staiano, Alfredo Starace:
Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs. WILF 2013: 226-233 - [c18]Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace:
A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms. WIRN 2013: 241-249 - [i1]Angelo Ciaramella, Giulio Giunta:
Compressive Sampling for the Packet Loss Recovery in Audio Multimedia Streaming. CoRR abs/1308.4263 (2013) - 2012
- [c17]Angelo Ciaramella, Giuseppe Vettigli:
Machine Learning and Soft Computing Methodologies for Music Emotion Recognition. WIRN 2012: 427-436 - 2011
- [j10]Angelo Ciaramella, Enza De Lauro, Salvatore De Martino, Mariarosaria Falanga, Roberto Tagliaferri:
Modeling and Generating Organ Pipes Self-Sustained Tones by Using ICA. J. Signal Inf. Process. 2(3): 141-151 (2011) - [c16]Angelo Ciaramella, Angelo Riccio, Stefano Galmarini, Giulio Giunta, Slawomir Potempski:
Comparison of Dispersion Models by Using Fuzzy Similarity Relations. AI*IA 2011: 57-67
2000 – 2009
- 2009
- [c15]Angelo Ciaramella, Angelo Riccio, Federico Angelini, Gian Paolo Gobbi, Tony Christian Landi:
Statistical and Fuzzy Approaches for Atmospheric Boundary Layer Classification. AI*IA 2009: 375-384 - [c14]Angelo Ciaramella, Witold Pedrycz, Alfredo Petrosino:
Uninorm Based Fuzzy Network for Tree Data Structures. WILF 2009: 77-84 - [p1]Angelo Ciaramella, Giulio Giunta, Angelo Riccio, Stefano Galmarini:
Independent Data Model Selection for Ensemble Dispersion Forecasting. Applications of Supervised and Unsupervised Ensemble Methods 2009: 213-231 - 2008
- [j9]Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri, Angelo Ciaramella, Antonino Staiano, Gennaro Miele:
Clustering and visualization approaches for human cell cycle gene expression data analysis. Int. J. Approx. Reason. 47(1): 70-84 (2008) - [j8]Angelo Ciaramella, Sergio Cocozza, Francesco Iorio, Gennaro Miele, Francesco Napolitano, Michele Pinelli, Giancarlo Raiconi, Roberto Tagliaferri:
Interactive data analysis and clustering of genomic data. Neural Networks 21(2-3): 368-378 (2008) - [c13]Angelo Ciaramella:
Single Channel Polyphonic Music Transcription. WIRN 2008: 99-108 - 2007
- [c12]Angelo Ciaramella, Sergio Cocozza, Francesco Iorio, Gennaro Miele, Francesco Napolitano, Michele Pinelli, Giancarlo Raiconi, Roberto Tagliaferri:
Clustering, Assessment and Validation: an application to gene expression data. IJCNN 2007: 1613-1618 - [c11]Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri:
The Genetic Development of Uninorm-Based Neurons. WILF 2007: 69-76 - 2006
- [j7]Roberto Amato, Angelo Ciaramella, Natalia Deniskina, Carmine Del Mondo, Diego di Bernardo, Ciro Donalek, Giuseppe Longo, Giuseppe Mangano, Gennaro Miele, Giancarlo Raiconi, Antonino Staiano, Roberto Tagliaferri:
A multi-step approach to time series analysis and gene expression clustering. Bioinform. 22(5): 589-596 (2006) - [j6]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio Di Nola:
Fuzzy relational neural network. Int. J. Approx. Reason. 41(2): 146-163 (2006) - [j5]Angelo Ciaramella, Enza De Lauro, Salvatore De Martino, Mariarosaria Falanga, Roberto Tagliaferri:
ICA based identification of dynamical systems generating synthetic and real world time series. Soft Comput. 10(7): 587-606 (2006) - [j4]Angelo Ciaramella, Paolo D'Arco, Alfredo De Santis, Clemente Galdi, Roberto Tagliaferri:
Neural Network Techniques for Proactive Password Checking. IEEE Trans. Dependable Secur. Comput. 3(4): 327-339 (2006) - 2005
- [j3]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz:
The genetic development of ordinal sums. Fuzzy Sets Syst. 151(2): 303-325 (2005) - [c10]Antonino Staiano, Angelo Ciaramella, Lara De Vinco, Giuseppe Longo, Giancarlo Raiconi, Roberto Tagliaferri, Roberto Amato, Carmine Del Mondo, Giuseppe Mangano, Gennaro Miele:
Visualization, Clustering and Classification of Multidimensional Astronomical Data. CAMP 2005: 141-146 - [c9]Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri:
OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms. WILF 2005: 188-194 - [c8]Roberto Amato, Angelo Ciaramella, Natalia Deniskina, Carmine Del Mondo, Diego di Bernardo, Ciro Donalek, Giuseppe Longo, Giuseppe Mangano, Gennaro Miele, Giancarlo Raiconi, Antonino Staiano, Roberto Tagliaferri:
NEC for Gene Expression Analysis. WILF 2005: 246-251 - [c7]Angelo Ciaramella, Giuseppe Longo, Antonino Staiano, Roberto Tagliaferri:
NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information. WIRN/NAIS 2005: 49-56 - 2004
- [c6]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz:
Ordinal sums by using genetic algorithms. FUZZ-IEEE 2004: 641-646 - [c5]Antonino Staiano, Lara De Vinco, Angelo Ciaramella, Giancarlo Raiconi, Roberto Tagliaferri, Roberto Amato, Giuseppe Longo, Ciro Donalek, Gennaro Miele, Diego di Bernardo:
Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining. ICDM 2004: 202-208 - [c4]Antonino Staiano, Roberto Tagliaferri, Lara De Vinco, Angelo Ciaramella, Giancarlo Raiconi, Giuseppe Longo, Gennaro Miele, Roberto Amato, Carmine Del Mondo, Ciro Donalek, Giuseppe Mangano, Diego di Bernardo:
Mining Yeast Gene Microarray Data with Latent Variable Models. WIRN 2004: 81-89 - 2003
- [j2]Roberto Tagliaferri, Giuseppe Longo, Leopoldo Milano, Fausto Acernese, Fabrizio Barone, Angelo Ciaramella, Rosario De Rosa, Ciro Donalek, Antonio Eleuteri, Giancarlo Raiconi, Salvatore Sessa, Antonino Staiano, Alfredo Volpicelli:
Neural neZtworks in astronomy. Neural Networks 16(3-4): 297-319 (2003) - [j1]Fausto Acernese, Angelo Ciaramella, Salvatore De Martino, Rosario De Rosa, Mariarosaria Falanga, Roberto Tagliaferri:
Neural networks for blind-source separation of Stromboli explosion quakes. IEEE Trans. Neural Networks 14(1): 167-175 (2003) - [c3]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio Di Nola:
Fuzzy Relational Neural Network for Data Analysis. WILF 2003: 103-109 - 2002
- [b1]Angelo Ciaramella:
Soft computing methodologies for data analysis. University of Salerno, Italy, 2002 - 2001
- [c2]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz:
Fuzzy Relations Neural Network: Some Preliminary Results. FUZZ-IEEE 2001: 469-472
1990 – 1999
- 1999
- [c1]Roberto Tagliaferri, Angelo Ciaramella, Leopoldo Milano, Fabrizio Barone:
Hybrid neural networks for frequency estimation of unevenly sampled data. IJCNN 1999: 975-979
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-11-07 21:34 CET by the dblp team
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