Hybrid neural networks for frequency estimation of unevenly sampled data. - Roberto Tagliaferri; Angelo Ciaramella; Leopoldo Milano; Fabrizio Barone (IJCNN, 1999)

Fuzzy Relations Neural Network: Some Preliminary Results. - Angelo Ciaramella; Roberto Tagliaferri; Witold Pedrycz (FUZZ-IEEE, 2001)

Soft computing methodologies for data analysis. - Angelo Ciaramella (2002)

Amplitude and permutation indeterminacies in frequency domain convolved ICA. - Angelo Ciaramella; Roberto Tagliaferri (IJCNN, 2003)

Fuzzy Relational Neural Network for Data Analysis. - Angelo Ciaramella; Roberto Tagliaferri; Witold Pedrycz; Antonio Di Nola (WILF, 2003)

Neural neZtworks in astronomy. - Roberto Tagliaferri; Giuseppe Longo; Leopoldo Milano; Fausto Acernese; Fabrizio Barone; Angelo Ciaramella; Rosario De Rosa; Ciro Donalek; Antonio Eleuteri; Giancarlo Raiconi; Salvatore Sessa 002; Antonino Staiano; et al. (Neural Networks, 2003)

Neural networks for blind-source separation of Stromboli explosion quakes. - Fausto Acernese; Angelo Ciaramella; Salvatore De Martino; Rosario De Rosa; Mariarosaria Falanga; Roberto Tagliaferri (IEEE Trans. Neural Networks, 2003)

Ordinal sums by using genetic algorithms. - Angelo Ciaramella; Roberto Tagliaferri; Witold Pedrycz (FUZZ-IEEE, 2004)

Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining. - Antonino Staiano; Lara De Vinco; Angelo Ciaramella; Giancarlo Raiconi; Roberto Tagliaferri; Roberto Amato; Giuseppe Longo; Ciro Donalek; Gennaro Miele; Diego di Bernardo (ICDM, 2004)

ICA for modelling and generating organ pipes self-sustained tones. - Angelo Ciaramella; Enza De Lauro; Salvatore De Martino; Mariarosaria Falanga; Roberto Tagliaferri (IJCNN, 2004)

Mining Yeast Gene Microarray Data with Latent Variable Models. - 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 (WIRN, 2004)

Visualization, Clustering and Classification of Multidimensional Astronomical Data. - Antonino Staiano; Angelo Ciaramella; Lara De Vinco; Giuseppe Longo; Giancarlo Raiconi; Roberto Tagliaferri; Roberto Amato; Carmine Del Mondo; Giuseppe Mangano; Gennaro Miele (CAMP, 2005)

BSS Toolbox for delayed and convolved mixtures. - Angelo Ciaramella; Roberto Tagliaferri; Francesco Iorio (IJCNN, 2005)

Data visualization methodologies for data mining systems in bioinformatics. - Antonino Staiano; Angelo Ciaramella; Giancarlo Raiconi; Roberto Tagliaferri; Roberto Amato; Giuseppe Longo; Gennaro Miele; Ciro Donalek (IJCNN, 2005)

NEC for Gene Expression Analysis. - 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 (WILF, 2005)

OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms. - Angelo Ciaramella; Witold Pedrycz; Roberto Tagliaferri (WILF, 2005)

NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information. - Angelo Ciaramella; Giuseppe Longo; Antonino Staiano; Roberto Tagliaferri (WIRN/NAIS, 2005)

The genetic development of ordinal sums. - Angelo Ciaramella; Roberto Tagliaferri; Witold Pedrycz (Fuzzy Sets Syst., 2005)

A multi-step approach to time series analysis and gene expression clustering. - 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 (Bioinform., 2006)

Fuzzy relational neural network. - Angelo Ciaramella; Roberto Tagliaferri; Witold Pedrycz; Antonio Di Nola (Int. J. Approx. Reason., 2006)

ICA based identification of dynamical systems generating synthetic and real world time series. - Angelo Ciaramella; Enza De Lauro; Salvatore De Martino; Mariarosaria Falanga; Roberto Tagliaferri (Soft Comput., 2006)

Neural Network Techniques for Proactive Password Checking. - Angelo Ciaramella; Paolo D'Arco; Alfredo De Santis; Clemente Galdi; Roberto Tagliaferri (IEEE Trans. Dependable Secur. Comput., 2006)

Clustering, Assessment and Validation: an application to gene expression data. - Angelo Ciaramella; Sergio Cocozza; Francesco Iorio; Gennaro Miele; Francesco Napolitano; Michele Pinelli; Giancarlo Raiconi; Roberto Tagliaferri (IJCNN, 2007)

The Genetic Development of Uninorm-Based Neurons. - Angelo Ciaramella; Witold Pedrycz; Roberto Tagliaferri (WILF, 2007)

Single Channel Polyphonic Music Transcription. - Angelo Ciaramella (WIRN, 2008)

Clustering and visualization approaches for human cell cycle gene expression data analysis. - Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri; Angelo Ciaramella; Antonino Staiano; Gennaro Miele (Int. J. Approx. Reason., 2008)

Interactive data analysis and clustering of genomic data. - Angelo Ciaramella; Sergio Cocozza; Francesco Iorio; Gennaro Miele; Francesco Napolitano; Michele Pinelli; Giancarlo Raiconi; Roberto Tagliaferri (Neural Networks, 2008)

Statistical and Fuzzy Approaches for Atmospheric Boundary Layer Classification. - Angelo Ciaramella; Angelo Riccio; Federico Angelini; Gian Paolo Gobbi; Tony Christian Landi (AI*IA, 2009)

Uninorm Based Fuzzy Network for Tree Data Structures. - Angelo Ciaramella; Witold Pedrycz; Alfredo Petrosino (WILF, 2009)

Independent Data Model Selection for Ensemble Dispersion Forecasting. - Angelo Ciaramella; Giulio Giunta; Angelo Riccio; Stefano Galmarini (Applications of Supervised and Unsupervised Ensemble Methods, 2009)

Comparison of Dispersion Models by Using Fuzzy Similarity Relations. - Angelo Ciaramella; Angelo Riccio; Stefano Galmarini; Giulio Giunta; Slawomir Potempski (AI*IA, 2011)

Modeling and Generating Organ Pipes Self-Sustained Tones by Using ICA. - Angelo Ciaramella; Enza De Lauro; Salvatore De Martino; Mariarosaria Falanga; Roberto Tagliaferri (J. Signal Inf. Process., 2011)

Machine Learning and Soft Computing Methodologies for Music Emotion Recognition. - Angelo Ciaramella; Giuseppe Vettigli (WIRN, 2012)

Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (ICIAP Workshops, 2013)

Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Salvatore Sposato; Antonino Staiano; Giovanni Staiano; Alfredo Starace (WILF, 2013)

A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (WIRN, 2013)

Compressive Sampling for the Packet Loss Recovery in Audio Multimedia Streaming. - Angelo Ciaramella; Giulio Giunta (CoRR, 2013)

Machine learning and soft computing for ICT security: an overview of current trends. - Francesco Camastra; Angelo Ciaramella; Antonino Staiano (J. Ambient Intell. Humaniz. Comput., 2013)

TÉRA: A tool for the environmental risk assessment of genetically modified plants. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (Ecol. Informatics, 2014)

A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (Expert Syst. Appl., 2015)

Machine Learning-Based Web Documents Categorization by Semantic Graphs. - Francesco Camastra; Angelo Ciaramella; Alessio Placitelli; Antonino Staiano (Advances in Neural Networks, 2015)

Packet loss recovery in audio multimedia streaming by using compressive sensing. - Angelo Ciaramella; Giulio Giunta (IET Commun., 2016)

Compressive sampling and adaptive dictionary learning for the packet loss recovery in audio multimedia streaming. - Angelo Ciaramella; Marco Gianfico; Giulio Giunta (Multim. Tools Appl., 2016)

A Bayesian-Based Neural Network Model for Solar Photovoltaic Power Forecasting. - Angelo Ciaramella; Antonino Staiano; Guido Cervone; Stefano Alessandrini (Advances in Neural Networks, 2016)

Fuzzy clustering of structured data: Some preliminary results. - Giuseppe Vettigli; Angelo Ciaramella (FUZZ-IEEE, 2017)

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. - Francesco Camastra; Angelo Ciaramella; Antonino Staiano (ICANN (1), 2017)

Non-linear PCA Neural Network for EEG Noise Reduction in Brain-Computer Interface. - Andrea Cimmino; Angelo Ciaramella; Giovanni Dezio; Pasquale Salma Jr. (IIH-MSP (1), 2017)

Spam Detection by Machine Learning-Based Content Analysis. - Daniele Davino; Francesco Camastra; Angelo Ciaramella; Antonino Staiano (IIH-MSP (1), 2017)

Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values. - Angelo Ciaramella; Davide Nardone; Antonino Staiano (CIBB, 2018)

Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction. - Francesco Camastra; Angelo Ciaramella; Le Hoang Son; Angelo Riccio; Antonino Staiano (WILF, 2018)

Semantic Maps of Twitter Conversations. - Angelo Ciaramella; Antonio Maratea; Emanuela Spagnoli (Multidisciplinary Approaches to Neural Computing, 2018)

StormSeeker: A Machine-Learning-Based Mediterranean Storm Tracer. - Raffaele Montella; Diana Di Luccio; Angelo Ciaramella; Ian T. Foster (IDCS, 2019)

On the Role of Clustering and Visualization Techniques in Gene Microarray Data. - Angelo Ciaramella; Antonino Staiano (Algorithms, 2019)

Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. - Elena Chianese; Francesco Camastra; Angelo Ciaramella; Tony Christian Landi; Antonino Staiano; Angelo Riccio (Ecol. Informatics, 2019)

A Sparse-Modeling based approach for Class-Specific feature selection. - Davide Nardone; Angelo Ciaramella; Antonino Staiano (PeerJ Prepr., 2019)

Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysis. - Mario Iannicelli; Davide Nardone; Angelo Ciaramella; Antonino Staiano (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

A Neuro-Fuzzy Based Approach for Resting-state Detection Using A Consumer-grade EEG. - Angelo Ciaramella; Pasquale Salma (FUZZ-IEEE, 2020)

Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction. - Francesco Camastra; Vincenzo Capone; Angelo Ciaramella; Tony Christian Landi; Angelo Riccio; Antonino Staiano (ICPR Workshops (6), 2020)

Environment Object Detection for Marine ARGO Drone by Deep Learning. - Angelo Ciaramella; Francesco Perrotta; Gerardo Pappone; Pietro Aucelli; Francesco Peluso; Gaia Mattei (ICPR Workshops (6), 2020)

Data integration by fuzzy similarity-based hierarchical clustering. - Angelo Ciaramella; Davide Nardone; Antonino Staiano (BMC Bioinform., 2020)

Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. - Le Hoang Son; Angelo Ciaramella; Duong Thi Thu Huyen; Antonino Staiano; Tran Manh Tuan; Pham Van Hai (Neural Comput. Appl., 2020)

Correction to: Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. - Le Hoang Son; Angelo Ciaramella; Duong Thi Thu Huyen; Antonino Staiano; Tran Manh Tuan; Pham Van Hai (Neural Comput. Appl., 2020)

Record linkage of banks and municipalities through multiple criteria and neural networks. - Antonio Maratea; Angelo Ciaramella; Giuseppe Pio Cianci (PeerJ Comput. Sci., 2020)

Semantic Maps for Knowledge Management of Web and Social Information. - Francesco Camastra; Angelo Ciaramella; Antonio Maratea; Le Hoang Son; Antonino Staiano (Computational Intelligence for Semantic Knowledge Management, 2020)

Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario. - Angelo Ciaramella; Davide Nardone; Antonino Staiano (Neural Approaches to Dynamics of Signal Exchanges, 2020)

A GPU Algorithm for Outliers Detection in TESS Light Curves. - Stefano Fiscale; Pasquale De Luca; Laura Inno; Livia Marcellino; Ardelio Galletti; Alessandra Rotundi; Angelo Ciaramella; Giovanni Covone; Elisa Quintana (ICCS (5), 2021)

A fuzzy rule base minimization perspective in XAI. - Francesco Camastra; Angelo Ciaramella; Salvatore Sposato; Antonino Staiano (WILF, 2021)

Advanced Fuzzy Relational Neural Network. - Emanuel Di Nardo; Angelo Ciaramella (WILF, 2021)

Adaptive one-class Gaussian processes allow accurate prioritization of oncology drug targets. - Antonio de Falco; Zoltán Dezsö; Francesco Ceccarelli; Luigi Cerulo; Angelo Ciaramella; Michele Ceccarelli (Bioinform., 2021)

Selected papers from the 15th and 16th international conference on Computational Intelligence Methods for Bioinformatics and Biostatistics. - Paolo Cazzaniga; Maria Raposo; Daniela Besozzi; Ivan Merelli; Antonino Staiano; Angelo Ciaramella; Riccardo Rizzo; Luca Manzoni (BMC Bioinform., 2021)

AIQUAM: Artificial Intelligence-based water QUAlity Model. - Ciro Giuseppe De Vita; Gennaro Mellone; Diana Di Luccio; Sokol Kosta; Angelo Ciaramella; Raffaele Montella (e-Science, 2022)

The Tenth Visual Object Tracking VOT2022 Challenge Results. - 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; et al. (ECCV Workshops (8), 2022)

Fuzzy Cognitive Maps Extraction from Enriched Tweets. - Antonio Maratea; Angelo Ciaramella; Marialuisa Santillo (FUZZ-IEEE, 2022)

Machine Learning and Computer Vision for the automation of processes in advanced logistics: the Integrated Logistic Platform (ILP) 4.0. - Michele Di Capua; Angelo Ciaramella; Aniello De Prisco (ISM, 2022)

The Journal Pattern for Streaming Data. - Antonio Maratea; Angelo Ciaramella; Rita Perna (itaDATA, 2022)

Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation. - Francesco Camastra; Vincenzo Capone; Angelo Ciaramella; Angelo Riccio; Antonino Staiano (Environ. Model. Softw., 2022)

A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology. - Angelo Ciaramella; Emanuel Di Nardo; Daniela Terracciano; Lia Conte; Ferdinando Febbraio; Amelia Cimmino (BMC Bioinform., 2022)

Citizen Science for the Sea with Information Technologies: An Open Platform for Gathering Marine Data and Marine Litter Detection from Leisure Boat Instruments. - Ciro Giuseppe De Vita; Gennaro Mellone; Dante D. Sánchez-Gallegos; Giuseppe Coviello; Diego Romano; Marco Lapegna; Angelo Ciaramella (e-Science, 2023)

Litter segmentation with LOTS dataset. - Paola Barra; Giosuè Orefice; Alessia Auriemma Citarella; Modesto Fernando Castrillón Santana; Angelo Ciaramella (GoodIT, 2023)

Dataspaces: Concepts, Architectures and Initiatives. - Maurizio Atzori; Angelo Ciaramella; Claudia Diamantini; Beniamino Di Martino; Salvatore Distefano; Tullio Facchinetti; Fabrizio Montecchiani; Antonino Nocera; Giancarlo Ruffo; Roberto Trasarti (itaDATA, 2023)

Prediction of Wave Energy Spectrum Based on Ship Motions Using a Data-Driven Approach. - Alessandro La Ferlita; Yan Qi; Emanuel Di Nardo; Simon Mewes; Ould el Moctar; Angelo Ciaramella (itaDATA, 2023)

AI-based Monitoring of Coastal and Marine Environments. - Francesco Camastra; Angelo Ciaramella; Emanuel Di Nardo; Alessio Ferone; Antonio Maratea; Raffaele Montella; Antonino Staiano (Ital-IA, 2023)

Skip-SegFormer - Efficient Semantic Segmentation for urban driving. - Andrea Lombardi; Emanuel Di Nardo; Angelo Ciaramella (Ital-IA, 2023)

LOTS: Litter On The Sand dataset for litter segmentation. - Paola Barra; Alessia Auriemma Citarella; Giosuè Orefice; Modesto Castrillón Santana; Angelo Ciaramella (MVA, 2023)

A containerized distributed processing platform for autonomous surface vehicles: preliminary results for marine litter detection. - 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 (PDP, 2023)

Message from the Organizing Committee Chairs: PDP 2023. - Raffaele Montella; Angelo Ciaramella; Marco Lapegna; Marco Danelutto; Dora Blanco Heras (PDP, 2023)

Message from the General Chairs: PDP 2023. - Raffaele Montella; Angelo Ciaramella; Marco Lapegna; Marco Danelutto; Dora Blanco Heras (PDP, 2023)

Exploring the Effectiveness of Slot Attention-Based Classifier in Detecting Underwater Marine Litter: A Study. - Gennaro Mellone; Emanuel Di Nardo; Ciro Giuseppe De Vita; Raffaele Montella; Pietro Patrizio Ciro Aucelli; Angelo Ciaramella (WIRN, 2023)

Discrete Diffusion Model for Image Captioning by Self-Critical Learning. - Vincenzo Silvio; Emanuel Di Nardo; Angelo Ciaramella (WIRN, 2023)

Tracking vision transformer with class and regression tokens. - Emanuel Di Nardo; Angelo Ciaramella (Inf. Sci., 2023)

Federated Learning and Crowdsourced Weather Data: Practice and Experience. - Ciro Giuseppe De Vita; Gennaro Mellone; Angelo Casolaro; Massimiliano Giordano Orsini; José Luis González 002; Angelo Ciaramella (e-Science, 2024)

Extending a Scientific Workflow Engine with Streaming I/O Capabilities: DAGonStar and CAPIO. - Simone Perrotta; Ciro Giuseppe De Vita; Gennaro Mellone; Marco Edoardo Santimaria; Giuseppe Salvi; Marco Lapegna; Massimo Torquati; Angelo Ciaramella (Euro-Par Workshops (2), 2024)

A 3D-CNNs Approach to Classify Users' Emotion through EEG-based Topographical Maps in HRI. - Lorenzo D'Errico; Emanuel Di Nardo; Angelo Ciaramella; Mariacarla Staffa (HRI (Companion), 2024)

Recursive Learning Framework for Structured Data Agglomeration. - Angelo Ciaramella; Emanuel Di Nardo; Giuseppe Vettigli (IJCNN, 2024)

Generative AI and Emotional Health: Innovations with Haystack. - Antonio Agliata; Antonio Pilato; Sorrentino Mariacarmen; Salvatore Bottiglieri; Emanuel Di Nardo; Angelo Ciaramella (ISCC, 2024)

Cross-domain Super-Resolution in Medical Imaging. - Vincenzo Bevilacqua; Antonio Di Marino; Emanuel Di Nardo; Angelo Ciaramella; Ivanoe De Falco; Giovanna Sannino (ISCC, 2024)

Safeguarding the Marine and Coastal Environment with Artificial Intelligence. - Paola Barra; Francesco Camastra; Angelo Ciaramella; Ciro Giuseppe De Vita; Emanuel Di Nardo; Raffaele Montella; Gennaro Mellone; Vincenzo Mariano Scarrica; Antonino Staiano (Ital-IA, 2024)

An integrated intelligent surveillance system for Industrial areas. - 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 (Ital-IA, 2024)

Design the modern supply chain: The SmarTwin Projec. - Michele Di Capua; Emanuel Di Nardo; Angelo Ciaramella; Gennaro Iannuzzo; Aniello De Prisco; Daniele Ruggeri Laderchi; Pietro Catalano; Pietro D'Ambrosio; Salvatore Moscariello (Ital-IA, 2024)

Improving Real-Time Data Streams Performance on Autonomous Surface Vehicles using DataX. - Gennaro Mellone; Ciro Giuseppe De Vita; Giuseppe Coviello; Pietro Patrizio Ciro Aucelli; Angelo Ciaramella; Raffaele Montella (PDP, 2024)

Workflows' applications in computational environmental science: a survey. - Gennaro Mellone; Ciro Giuseppe De Vita; Dario Caramiello; David Exposito Singh; Javier García-Blas; Angelo Ciaramella (WiDE@EuroSys, 2024)

On the interpretability of fuzzy knowledge base systems. - Francesco Camastra; Angelo Ciaramella; Giuseppe Salvi; Salvatore Sposato; Antonino Staiano (PeerJ Comput. Sci., 2024)

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. - Gaia Mattei; Pietro Patrizio Ciro Aucelli; Angelo Ciaramella; Luigi De Luca; Alberto Greco 003; Gennaro Mellone; Francesco Peluso; Salvatore Troisi; Gerardo Pappone (Sensors, 2024)

G-Litter Marine Litter Dataset Augmentation with Diffusion Models and Large Language Models on GPU Acceleration. - Gennaro Mellone; Ciro Giuseppe De Vita; Emanuel Di Nardo; Giuseppe Coviello; Diana Di Luccio; Pietro Patrizio Ciro Aucelli; Angelo Ciaramella; Raffaele Montella (PDP, 2025)

A data-driven approach for extracting exoplanetary atmospheric features. - Massimiliano Giordano Orsini; Alessio Ferone; Laura Inno; Paolo Giacobbe; Antonio Maratea; Angelo Ciaramella; Aldo Stefano Bonomo; Alessandra Rotundi (Astron. Comput., 2025)

Financial Twin Chain, a Platform to Support Financial Sustainability in Supply Chains. - Giuseppe Galante; Christiancarmine Esposito; Pietro Catalano; Salvatore Moscariello; Pasquale Perillo; Pietro D'Ambrosio; Angelo Ciaramella; Michele Di Capua (CoRR, 2025)

DART-Vetter: A Deep LeARning Tool for automatic triage of exoplanet candidates. - Stefano Fiscale; Laura Inno; Alessandra Rotundi; Angelo Ciaramella; Alessio Ferone; Christian Magliano; Luca Cacciapuoti; Veselin B. Kostov; Elisa Quintana; Giovanni Covone; Maria Teresa Muscari Tomajoli; Vito Saggese; et al. (CoRR, 2025)

Bridging LLMs and Symbolic Reasoning in Educational QA Systems: Insights from the XAI Challenge at IJCNN 2025. - Long S. T. Nguyen; Khang H. N. Vo; Thu H. A. Nguyen; Tuan C. Bui; Duc Q. Nguyen; Thanh-Tung Tran; Anh D. Nguyen; Minh L. Nguyen; Fabien Baldacci; Thang H. Bui; Emanuel Di Nardo; Angelo Ciaramella; et al. (CoRR, 2025)

Ante-Hoc Methods for Interpretable Deep Models: A Survey. - Antonio Di Marino; Vincenzo Bevilacqua; Angelo Ciaramella; Ivanoe De Falco; Giovanna Sannino (ACM Comput. Surv., 2025)