Angelo Ciaramella

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 46

Top Topics

Hierarchical Clustering

Top Venues

Publications

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)
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)
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)
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) (2024)
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)
Paola Barra, Giosuè Orefice, Alessia Auriemma Citarella, Modesto Fernando Castrillón Santana, Angelo Ciaramella
Litter segmentation with LOTS dataset. GoodIT (2023)
Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras
Message from the General Chairs: PDP 2023. PDP (2023)
Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras
Message from the Organizing Committee Chairs: PDP 2023. PDP (2023)
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)
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)
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)
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)
Paola Barra, Alessia Auriemma Citarella, Giosuè Orefice, Modesto Castrillón Santana, Angelo Ciaramella
LOTS: Litter On The Sand dataset for litter segmentation. MVA (2023)
Andrea Lombardi, Emanuel Di Nardo, Angelo Ciaramella
Skip-SegFormer - Efficient Semantic Segmentation for urban driving. Ital-IA (2023)
Emanuel Di Nardo, Angelo Ciaramella
Tracking vision transformer with class and regression tokens. Inf. Sci. 619 (2023)
Antonio Maratea, Angelo Ciaramella, Rita Perna
The Journal Pattern for Streaming Data. itaDATA (2022)
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 (2022)
Antonio Maratea, Angelo Ciaramella, Marialuisa Santillo
Fuzzy Cognitive Maps Extraction from Enriched Tweets. FUZZ-IEEE (2022)
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. (6) (2022)
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)
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 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)
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. (2) (2021)
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) (2021)
Emanuel Di Nardo, Angelo Ciaramella
Advanced Fuzzy Relational Neural Network. WILF (2021)
Francesco Camastra, Angelo Ciaramella, Salvatore Sposato, Antonino Staiano
A fuzzy rule base minimization perspective in XAI. WILF (2021)
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)
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)
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)
Antonio Maratea, Angelo Ciaramella, Giuseppe Pio Cianci
Record linkage of banks and municipalities through multiple criteria and neural networks. PeerJ Comput. Sci. 6 (2020)
Angelo Ciaramella, Davide Nardone, Antonino Staiano
Data integration by fuzzy similarity-based hierarchical clustering. BMC Bioinform. (10) (2020)
Angelo Ciaramella, Pasquale Salma
A Neuro-Fuzzy Based Approach for Resting-state Detection Using A Consumer-grade EEG. FUZZ-IEEE (2020)
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) (2020)
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) (2020)
Davide Nardone, Angelo Ciaramella, Antonino Staiano
A Sparse-Modeling based approach for Class-Specific feature selection. PeerJ Prepr. 7 (2019)
Angelo Ciaramella, Antonino Staiano
On the Role of Clustering and Visualization Techniques in Gene Microarray Data. Algorithms 12 (6) (2019)
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 (2019)
Davide Nardone, Angelo Ciaramella, Antonino Staiano
A Sparse-Modeling Based Approach for Class Specific Feature Selection. PeerJ Comput. Sci. 5 (2019)
Raffaele Montella, Diana Di Luccio, Angelo Ciaramella, Ian T. Foster
StormSeeker: A Machine-Learning-Based Mediterranean Storm Tracer. IDCS (2019)
Angelo Ciaramella, Davide Nardone, Antonino Staiano
Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values. CIBB (2018)
Francesco Camastra, Angelo Ciaramella, Le Hoang Son, Angelo Riccio, Antonino Staiano
Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction. WILF (2018)
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)
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)
Daniele Davino, Francesco Camastra, Angelo Ciaramella, Antonino Staiano
Spam Detection by Machine Learning-Based Content Analysis. IIH-MSP (1) (2017)
Giuseppe Vettigli, Angelo Ciaramella
Fuzzy clustering of structured data: Some preliminary results. FUZZ-IEEE (2017)
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) (2016)
Angelo Ciaramella, Giulio Giunta
Packet loss recovery in audio multimedia streaming by using compressive sensing. IET Commun. 10 (4) (2016)
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) (2015)
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 (2014)
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)
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) (2013)
Angelo Ciaramella, Giulio Giunta
Compressive Sampling for the Packet Loss Recovery in Audio Multimedia Streaming. CoRR (2013)
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)
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)
Angelo Ciaramella, Giuseppe Vettigli
Machine Learning and Soft Computing Methodologies for Music Emotion Recognition. WIRN (2012)
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) (2011)
Angelo Ciaramella, Angelo Riccio, Stefano Galmarini, Giulio Giunta, Slawomir Potempski
Comparison of Dispersion Models by Using Fuzzy Similarity Relations. AI*IA (2011)
Angelo Ciaramella, Witold Pedrycz, Alfredo Petrosino
Uninorm Based Fuzzy Network for Tree Data Structures. WILF (2009)
Angelo Ciaramella, Angelo Riccio, Federico Angelini, Gian Paolo Gobbi, Tony Christian Landi
Statistical and Fuzzy Approaches for Atmospheric Boundary Layer Classification. AI*IA (2009)
Angelo Ciaramella
Single Channel Polyphonic Music Transcription. WIRN (2008)
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) (2008)
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) (2008)
Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri
The Genetic Development of Uninorm-Based Neurons. WILF (2007)
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)
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) (2006)
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) (2006)
Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio Di Nola
Fuzzy relational neural network. Int. J. Approx. Reason. 41 (2) (2006)
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) (2006)
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)
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)
Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri
OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms. WILF (2005)
Angelo Ciaramella, Giuseppe Longo, Antonino Staiano, Roberto Tagliaferri
NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information. WIRN/NAIS (2005)
Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz
The genetic development of ordinal sums. Fuzzy Sets Syst. 151 (2) (2005)
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)
Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz
Ordinal sums by using genetic algorithms. FUZZ-IEEE (2004)
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)
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) (2003)
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) (2003)
Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio Di Nola
Fuzzy Relational Neural Network for Data Analysis. WILF (2003)
Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz
Fuzzy Relations Neural Network: Some Preliminary Results. FUZZ-IEEE (2001)
Roberto Tagliaferri, Angelo Ciaramella, Leopoldo Milano, Fabrizio Barone
Hybrid neural networks for frequency estimation of unevenly sampled data. IJCNN (1999)