A Bayesian Approach to Situated Vision. - Giuseppe Boccignone; Vittorio Caggiano; Gianluca Di Fiore; Angelo Marcelli; Paolo Napoletano (BVAI, 2005)

An Architectural Model for Combining Spatial-Based and Object-Based Information for Attentive Video Analysis. - Giuseppe Boccignone; Vittorio Caggiano; Angelo Marcelli; Paolo Napoletano; Gianluca Di Fiore (CAMP, 2005)

Image segmentation via multiresolution diffused expectation-maximisation. - Giuseppe Boccignone; Vittorio Caggiano; Paolo Napoletano; Mario Ferraro (ICIP (1), 2005)

Inference of moving forms via Belief Propagation. - Giuseppe Boccignone; Angelo Marcelli; Paolo Napoletano (ICPR (2), 2006)

Bayesian Propagation for Perceiving Moving Objects. - Giuseppe Boccignone; Angelo Marcelli; Paolo Napoletano; Vittorio Caggiano; Gianluca Di Fiore (Int. J. Pattern Recognit. Artif. Intell., 2006)

A Variational Bayes Approach to Image Segmentation. - Giuseppe Boccignone; Mario Ferraro; Paolo Napoletano (BVAI, 2007)

The Bayesian Draughtsman: A Model for Visuomotor Coordination in Drawing. - Ruben Coen Cagli; Paolo Coraggio; Paolo Napoletano; Giuseppe Boccignone (BVAI, 2007)

Motion Estimation via Belief Propagation. - Giuseppe Boccignone; Angelo Marcelli; Paolo Napoletano; Mario Ferraro (ICIAP, 2007)

A multiresolution diffused expectation-maximization algorithm for medical image segmentation. - Giuseppe Boccignone; Paolo Napoletano; Vittorio Caggiano; Mario Ferraro (Comput. Biol. Medicine, 2007)

DrawBot: a bio-inspired robotic portraitist. - Ruben Coen Cagli; Paolo Coraggio; Paolo Napoletano (Digit. Creativity, 2007)

A Note on Methodology for Designing Ontology Management Systems. - Francesco Colace; Massimo De Santo; Paolo Napoletano (AAAI Spring Symposium: Symbiotic Relationships between Semantic Web and Knowledge Engineering, 2008)

Sensorimotor coupling via dynamic bayesian networks. - Ruben Coen Cagli; Paolo Napoletano; Paolo Coraggio; Giuseppe Boccignone; Agostino De Santis (ICRA, 2008)

Embedding Diffusion in Variational Bayes: a Technique for Segmenting Images. - Giuseppe Boccignone; Paolo Napoletano; Mario Ferraro (Int. J. Pattern Recognit. Artif. Intell., 2008)

What the Draughtsman's Hand Tells the Draughtsman's Eye: a Sensorimotor Account of Drawing. - Ruben Coen Cagli; Paolo Coraggio; Paolo Napoletano; Giuseppe Boccignone (Int. J. Pattern Recognit. Artif. Intell., 2008)

Bayesian Integration of Face and Low-Level Cues for Foveated Video Coding. - Giuseppe Boccignone; Angelo Marcelli; Paolo Napoletano; Gianluca Di Fiore; G. Iacovoni; S. Morsa (IEEE Trans. Circuits Syst. Video Technol., 2008)

Semantic Indexing of Web Pages Via Probabilistic Methods - In Search of Semantics Project. - Fabio Clarizia; Francesco Colace; Massimo De Santo; Paolo Napoletano (ICEIS (4), 2009)

A Probabilistic Method for Text Analysis. - Fabio Clarizia; Massimo De Santo; Paolo Napoletano (ISDA, 2009)

Product Configurator: An Ontological Approach. - Francesco Colace; Massimo De Santo; Paolo Napoletano (ISDA, 2009)

A New Technique for Identification of Relevant Web Pages in Informational Queries Results. - Fabio Clarizia; Luca Greco 001; Paolo Napoletano (ICEIS (3), 2010)

An Adaptive Optimisation Method for Automatic Lightweight Ontology Extraction. - Fabio Clarizia; Luca Greco 001; Paolo Napoletano (ICEIS, 2010)

Improving Text Retrieval Accuracy Using a Graph of Terms. - Fabio Clarizia; Francesco Colace; Luca Greco 001; Massimo De Santo; Paolo Napoletano (DMS, 2011)

A Novel Query Expansion Technique based on a Mixed Graph of Terms. - Fabio Clarizia; Francesco Colace; Massimo De Santo; Luca Greco 001; Paolo Napoletano (KDIR, 2011)

A Novel Supervised Text Classifier from a Small Training Set. - Fabio Clarizia; Francesco Colace; Massimo De Santo; Luca Greco 001; Paolo Napoletano (KDIR, 2011)

Improving Text Retrieval Accuracy by Using a Minimal Relevance Feedback. - Francesco Colace; Massimo De Santo; Luca Greco 001; Paolo Napoletano (IC3K, 2011)

Learning to Classify Text Using a Few Labeled Examples. - Francesco Colace; Massimo De Santo; Luca Greco 001; Paolo Napoletano (IC3K, 2011)

Mixed graph of terms for query expansion. - Fabio Clarizia; Francesco Colace; Massimo De Santo; Luca Greco 001; Paolo Napoletano (ISDA, 2011)

A new text classification technique using small training sets. - Fabio Clarizia; Francesco Colace; Massimo De Santo; Luca Greco 001; Paolo Napoletano (ISDA, 2011)

Text Classification Using a Graph of Terms. - Paolo Napoletano; Francesco Colace; Massimo De Santo; Luca Greco 001 (CISIS, 2012)

Ontological Filtering for Sentiment Analysis. - Francesco Colace; Massimo De Santo; Paolo Napoletano; C. Becchi; S. K. Chang (DMS, 2012)

Mixed Graph of Terms: Beyond the Bags of Words Representation of a Text. - Massimo De Santo; Paolo Napoletano; Antonio Pietrosanto; Consolatina Liguori; Vincenzo Paciello; Francesco Polese (HICSS, 2012)

Illuminant Invariant Descriptors for Color Texture Classification. - Claudio Cusano; Paolo Napoletano; Raimondo Schettini (CCIW, 2013)

A semi-automatic annotation tool for cooking video. - Simone Bianco 001; Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini; Roberto Margherita; Gianluca Marini; Giorgio Gianforme; Giuseppe Pantaleo (Image Processing: Machine Vision Applications, 2013)

Intensity and color descriptors for texture classification. - Claudio Cusano; Paolo Napoletano; Raimondo Schettini (Image Processing: Machine Vision Applications, 2013)

On the Robustness of Color Texture Descriptors across Illuminants. - Simone Bianco 001; Claudio Cusano; Paolo Napoletano; Raimondo Schettini (ICIAP (2), 2013)

Cooking Action Recognition with iVAT: An Interactive Video Annotation Tool. - Simone Bianco 001; Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini; Roberto Margherita; Gianluca Marini; Giuseppe Pantaleo (ICIAP (2), 2013)

A Query Expansion Method based on a Weighted Word Pairs Approach. - Luca Greco 001; Massimo De Santo; Paolo Napoletano; Francesco Colace (IIR, 2013)

On the use of MKL for cooking action recognition. - Simone Bianco 001; Gianluigi Ciocca; Paolo Napoletano (Image Processing: Machine Vision Applications, 2014)

An attentive multi-camera system. - Paolo Napoletano; Francesco Tisato (Image Processing: Machine Vision Applications, 2014)

Query Expansion through Weighted Word Pairs. - Luca Greco 001; Francesco Colace; Massimo De Santo; Paolo Napoletano (SEBD, 2014)

Text classification using a few labeled examples. - Francesco Colace; Massimo De Santo; Luca Greco 001; Paolo Napoletano (Comput. Hum. Behav., 2014)

Food Recognition and Leftover Estimation for Daily Diet Monitoring. - Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini (ICIAP Workshops, 2015)

Local Angular Patterns for Color Texture Classification. - Claudio Cusano; Paolo Napoletano; Raimondo Schettini (ICIAP Workshops, 2015)

IAT - Image Annotation Tool: Manual. - Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini (CoRR, 2015)

Evaluating color texture descriptors under large variations of controlled lighting conditions. - Claudio Cusano; Paolo Napoletano; Raimondo Schettini (CoRR, 2015)

An interactive tool for manual, semi-automatic and automatic video annotation. - Simone Bianco 001; Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini (Comput. Vis. Image Underst., 2015)

Weighted Word Pairs for query expansion. - Francesco Colace; Massimo De Santo; Luca Greco 001; Paolo Napoletano (Inf. Process. Manag., 2015)

Improving relevance feedback-based query expansion by the use of a weighted word pairs approach. - Francesco Colace; Massimo De Santo; Luca Greco 001; Paolo Napoletano (J. Assoc. Inf. Sci. Technol., 2015)

Remote Sensing Image Classification Exploiting Multiple Kernel Learning. - Claudio Cusano; Paolo Napoletano; Raimondo Schettini (IEEE Geosci. Remote. Sens. Lett., 2015)

Attentive Monitoring of Multiple Video Streams Driven by a Bayesian Foraging Strategy. - Paolo Napoletano; Giuseppe Boccignone; Francesco Tisato (IEEE Trans. Image Process., 2015)

Predicting Image Aesthetics with Deep Learning. - Simone Bianco 001; Luigi Celona; Paolo Napoletano; Raimondo Schettini (ACIVS, 2016)

UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones. - Daniela Micucci; Marco Mobilio; Paolo Napoletano (CoRR, 2016)

Visual descriptors for content-based retrieval of remote sensing images. - Paolo Napoletano (CoRR, 2016)

Combining multiple features for color texture classification. - Claudio Cusano; Paolo Napoletano; Raimondo Schettini (J. Electronic Imaging, 2016)

Special Section Guest Editorial: Color in Texture and Material Recognition. - Raimondo Schettini; Joost van de Weijer 001; Claudio Cusano; Paolo Napoletano (J. Electronic Imaging, 2016)

Improved Opponent Colour Local Binary Patterns for Colour Texture Classification. - Francesco Bianconi; Raquel Bello-Cerezo; Paolo Napoletano; Francesco Di Maria (CCIW, 2017)

Hand-Crafted vs Learned Descriptors for Color Texture Classification. - Paolo Napoletano (CCIW, 2017)

On the Importance of Domain Adaptation in Texture Classification. - Barbara Caputo; Claudio Cusano; Martina Lanzi; Paolo Napoletano; Raimondo Schettini (ICIAP (1), 2017)

Learning CNN-based Features for Retrieval of Food Images. - Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini (ICIAP Workshops, 2017)

Visual recognition of aircraft mechanical parts for smart maintenance. - Claudio Cusano; Paolo Napoletano (Comput. Ind., 2017)

Falls as anomalies? An experimental evaluation using smartphone accelerometer data. - Daniela Micucci; Marco Mobilio; Paolo Napoletano; Francesco Tisato (J. Ambient Intell. Humaniz. Comput., 2017)

Improving CNN-Based Texture Classification by Color Balancing. - Simone Bianco 001; Claudio Cusano; Paolo Napoletano; Raimondo Schettini (J. Imaging, 2017)

Food Recognition: A New Dataset, Experiments, and Results. - Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini (IEEE J. Biomed. Health Informatics, 2017)

Visual-based sentiment logging in magic smart mirrors. - Simone Bianco 001; Luigi Celona; Paolo Napoletano (ICCE-Berlin, 2018)

Discriminative Deep Audio Feature Embedding for Speaker Recognition in the Wild. - Simone Bianco 001; Elia Cereda; Paolo Napoletano (ICCE-Berlin, 2018)

Activity monitoring from RGB input for indoor action recognition systems. - Gianluigi Ciocca; Alessio Elmi; Paolo Napoletano; Raimondo Schettini (ICCE-Berlin, 2018)

IVLFood-WS: Recognizing food in the wild using Deep Learning. - Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini (ICCE-Berlin, 2018)

Combining heart and breathing rate for car driver stress recognition. - Paolo Napoletano; Stefano Rossi (ICCE-Berlin, 2018)

Recognition of driver distractions using deep learning. - Leonel Cuevas Valeriano; Paolo Napoletano; Raimondo Schettini (ICCE-Berlin, 2018)

Automated Pruning for Deep Neural Network Compression. - Franco Manessi; Alessandro Rozza; Simone Bianco 001; Paolo Napoletano; Raimondo Schettini (ICPR, 2018)

Benchmark Analysis of Representative Deep Neural Network Architectures. - Simone Bianco 001; Rémi Cadène; Luigi Celona; Paolo Napoletano (IEEE Access, 2018)

CNN-based features for retrieval and classification of food images. - Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini (Comput. Vis. Image Underst., 2018)

Improved opponent color local binary patterns: an effective local image descriptor for color texture classification. - Francesco Bianconi; Raquel Bello-Cerezo; Paolo Napoletano (J. Electronic Imaging, 2018)

Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity. - Paolo Napoletano; Flavio Piccoli; Raimondo Schettini (Sensors, 2018)

On the use of deep learning for blind image quality assessment. - Simone Bianco 001; Luigi Celona; Paolo Napoletano; Raimondo Schettini (Signal Image Video Process., 2018)

Human Activities Recognition Using Accelerometer and Gyroscope. - Anna Ferrari; Daniela Micucci; Marco Mobilio; Paolo Napoletano (AmI, 2019)

Evaluation of Automatic Image Color Theme Extraction Methods. - Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini (CCIW, 2019)

Autocropping: A Closer Look at Benchmark Datasets. - Luigi Celona; Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini (ICIAP (2), 2019)

Image Memorability Using Diverse Visual Features and Soft Attention. - Marco Leonardi; Luigi Celona; Paolo Napoletano; Simone Bianco 001; Raimondo Schettini; Franco Manessi; Alessandro Rozza (ICIAP (2), 2019)

Analyzing color harmony of food images. - Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini; Isabella Gagliardi; Maria Teresa Artese (CIC, 2019)

A Framework for Long-Term Data Collection to Support Automatic Human Activity Recognition. - Anna Ferrari; Daniela Micucci; Marco Mobilio; Paolo Napoletano (Intelligent Environments (Workshops), 2019)

Hand-crafted Features vs Residual Networks for Human Activities Recognition using Accelerometer. - Anna Ferrari; Daniela Micucci; Marco Mobilio; Paolo Napoletano (ISCT, 2019)

A blockchain technology for protection and probative value preservation of vehicle driver data. - Francesco Morano; Claudio Ferretti; Alberto Leporati; Paolo Napoletano; Raimondo Schettini (ISCT, 2019)

Multimodal Car Driver Stress Recognition. - Simone Bianco 001; Paolo Napoletano; Raimondo Schettini (PervasiveHealth, 2019)

On the Homogenization of Heterogeneous Inertial-Based Databases for Human Activity Recognition. - Anna Ferrari; Marco Mobilio; Daniela Micucci; Paolo Napoletano (SERVICES, 2019)

Biometric Recognition Using Multimodal Physiological Signals. - Simone Bianco 001; Paolo Napoletano (IEEE Access, 2019)

CNN-Based Refactoring of Hand-Designed Filters for Texture Analysis: A Classic Revisited. - Francesco Bianconi; Claudio Cusano; Paolo Napoletano; Raimondo Schettini (IEEE Access, 2019)

A Platform to Collect, Unify, and Distribute Inertial Labeled Signals for Human Activity Recognition. - Anna Ferrari; Daniela Micucci; Marco Mobilio; Paolo Napoletano (CoRR, 2019)

Multitask painting categorization by deep multibranch neural network. - Simone Bianco 001; Davide Mazzini; Paolo Napoletano; Raimondo Schettini (Expert Syst. Appl., 2019)

Personalized Deep Learning in Human Activity Recognition from Inertial Signals: a Preliminary Study on its Effectiveness (short paper). - Anna Ferrari; Daniela Micucci; Marco Mobilio; Paolo Napoletano (AIxAS@AI*IA, 2020)

Personalized Models in Human Activity Recognition using Deep Learning. - Hamza Amrani; Daniela Micucci; Paolo Napoletano (ICPR, 2020)

Iconic-Based Retrieval of Grocery Images via Siamese Neural Network. - Gianluigi Ciocca; Paolo Napoletano; Simone Giuseppe Locatelli (ICPR Workshops (2), 2020)

Multi-task Learning for Supervised and Unsupervised Classification of Grocery Images. - Gianluigi Ciocca; Paolo Napoletano; Simone Giuseppe Locatelli (ICPR Workshops (2), 2020)

State Recognition of Food Images Using Deep Features. - Gianluigi Ciocca; Giovanni Micali; Paolo Napoletano (IEEE Access, 2020)

On the Personalization of Classification Models for Human Activity Recognition. - Anna Ferrari; Daniela Micucci; Marco Mobilio; Paolo Napoletano (IEEE Access, 2020)

A Novel Approach to Data Augmentation for Pavement Distress Segmentation. - Davide Mazzini; Paolo Napoletano; Flavio Piccoli; Raimondo Schettini (Comput. Ind., 2020)

Disentangling Image Distortions in Deep Feature Space. - Simone Bianco 001; Luigi Celona; Paolo Napoletano; Raimondo Schettini (CoRR, 2020)

Personalization in Human Activity Recognition. - Anna Ferrari; Daniela Micucci; Marco Mobilio; Paolo Napoletano (CoRR, 2020)

Positive technology for elderly well-being: A review. - Giuliano Grossi; Raffaella Lanzarotti; Paolo Napoletano; Nicoletta Noceti; Francesca Odone (Pattern Recognit. Lett., 2020)

ArabCeleb: Speaker Recognition in Arabic. - Simone Bianco 001; Luigi Celona; Intissar Khalifa; Paolo Napoletano; Alexey Petrovsky; Flavio Piccoli; Raimondo Schettini; Ivan Shanin (AI*IA, 2021)

Static, Dynamic and Acceleration Features for CNN-Based Speech Emotion Recognition. - Intissar Khalifa; Ridha Ejbali; Paolo Napoletano; Raimondo Schettini; Mourad Zaied (AI*IA, 2021)

Modeling image aesthetics through aesthetics-related attributes. - Marco Leonardi; Paolo Napoletano; Alessandro Rozza; Raimondo Schettini (LIM, 2021)

Analyzing and Recognizing Food in Constrained and Unconstrained Environments. - Marco Buzzelli; Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini (AIxFood @ ACM Multimedia, 2021)

A grid anchor based cropping approach exploiting image aesthetics, geometric composition, and semantics. - Luigi Celona; Gianluigi Ciocca; Paolo Napoletano (Expert Syst. Appl., 2021)

Semi-supervised anomaly detection for visual quality inspection. - Paolo Napoletano; Flavio Piccoli; Raimondo Schettini (Expert Syst. Appl., 2021)

Trends in human activity recognition using smartphones. - Anna Ferrari; Daniela Micucci; Marco Mobilio; Paolo Napoletano (J. Reliab. Intell. Environ., 2021)

Disentangling Image distortions in deep feature space. - Simone Bianco 001; Luigi Celona; Paolo Napoletano (Pattern Recognit. Lett., 2021)

A LoRa-Based Mesh Network for Peer-to-Peer Long-Range Communication. - Riccardo Berto; Paolo Napoletano; Marco Savi (Sensors, 2021)

A Smart Mirror for Emotion Monitoring in Home Environments. - Simone Bianco 001; Luigi Celona; Gianluigi Ciocca; Davide Marelli; Paolo Napoletano; Stefano Yu; Raimondo Schettini (Sensors, 2021)

T1K+: A Database for Benchmarking Color Texture Classification and Retrieval Methods. - Claudio Cusano; Paolo Napoletano; Raimondo Schettini (Sensors, 2021)

No Reference, Opinion Unaware Image Quality Assessment by Anomaly Detection. - Marco Leonardi; Paolo Napoletano; Raimondo Schettini; Alessandro Rozza (Sensors, 2021)

Unsupervised Deep Learning-based clustering for Human Activity Recognition. - Hamza Amrani; Daniela Micucci; Paolo Napoletano (ICCE-Berlin, 2022)

Image Captioning using Pretrained Language Models and Image Segmentation. - Simone Bianco 001; Gabriele Ferrario; Paolo Napoletano (ICCE-Berlin, 2022)

A health telemonitoring platform based on data integration from different sources. - Gianluigi Ciocca; Paolo Napoletano; Matteo Romanato; Raimondo Schettini (ICCE-Berlin, 2022)

Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition. - Hamza Amrani; Daniela Micucci; Marco Mobilio; Paolo Napoletano (CoRR, 2022)

Unsupervised Segmentation of Hyperspectral Remote Sensing Images with Superpixels. - Mirko Paolo Barbato; Paolo Napoletano; Flavio Piccoli; Raimondo Schettini (CoRR, 2022)

A unified platform for GIS data management and analytics. - Flavio Piccoli; Simone Giuseppe Locatelli; Paolo Napoletano; Raimondo Schettini (CoRR, 2022)

U-WeAr: User Recognition on Wearable Devices through Arm Gesture. - Simone Bianco 001; Paolo Napoletano; Alberto Raimondi; Mirko Rima (IEEE Trans. Hum. Mach. Syst., 2022)

Composition and Style Attributes Guided Image Aesthetic Assessment. - Luigi Celona; Marco Leonardi; Paolo Napoletano; Alessandro Rozza (IEEE Trans. Image Process., 2022)

Food Recognition with Visual Transformers. - Simone Bianco 001; Marco Buzzelli; Gaetano Chiriaco; Paolo Napoletano; Flavio Piccoli (ICCE-Berlin, 2023)

A Platform for Multi-Modal Driver Behaviour Data Collection. - Simone Bianco 001; Luigi Celona; Giovanni Donato Gallo; Paolo Napoletano (ICCE-Berlin, 2023)

On the Use of Personalized Models for Blood Glucose Concentration Prediction. - Niccolò Puccinelli; Flavio Piccoli; Paolo Napoletano (ICCE-Berlin, 2023)

A General Purpose Method for Image Collection Summarization and Exploration. - Marco Leonardi; Paolo Napoletano; Alessandro Rozza; Raimondo Schettini (ICIAP Workshops (1), 2023)

Optimizing Gabor Texture Features for Materials Recognition by Convolutional Neural Networks. - Francesco Bianconi; Claudio Cusano; Paolo Napoletano; Raimondo Schettini (LIM, 2023)

Multimodal Earth Observation Modeling Using AI. - Mirko Paolo Barbato; Flavio Piccoli; Paolo Napoletano (MESAS, 2023)

Emotion Personalization with Machine Learning using EEG Signals and Dry Electrodes. - Hamza Amrani; Daniela Micucci; Marco Nalin; Paolo Napoletano (MetroXRAINE, 2023)

Multimodal Fusion Methods with Vision Transformers for Remote Sensing Semantic Segmentation. - Veronica Grazia Morelli; Mirko Paolo Barbato; Flavio Piccoli; Paolo Napoletano (WHISPERS, 2023)

Improving Image Captioning Descriptiveness by Ranking and LLM-based Fusion. - Simone Bianco 001; Luigi Celona; Marco Donzella; Paolo Napoletano (CoRR, 2023)

Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding. - Hamza Amrani; Daniela Micucci; Paolo Napoletano (CoRR, 2023)

An Open-Source Platform for GIS Data Management and Analytics. - Flavio Piccoli; Simone Giuseppe Locatelli; Raimondo Schettini; Paolo Napoletano (Sensors, 2023)

Unified Framework for Identity and Imagined Action Recognition From EEG Patterns. - Marco Buzzelli; Simone Bianco 001; Paolo Napoletano (IEEE Trans. Hum. Mach. Syst., 2023)

Deep learning and model personalization in sensor-based human activity recognition. - Anna Ferrari; Daniela Micucci; Marco Mobilio; Paolo Napoletano (J. Reliab. Intell. Environ., 2023)

Quasi Real-Time Apple Defect Segmentation Using Deep Learning. - Mirko Agarla; Paolo Napoletano; Raimondo Schettini (Sensors, 2023)

Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning. - Flavio Piccoli; Mirko Paolo Barbato; Marco Peracchi; Paolo Napoletano (Sensors, 2023)

A deep scalable neural architecture for soil properties estimation from spectral information. - Flavio Piccoli; Micol Rossini; Roberto Colombo; Raimondo Schettini; Paolo Napoletano (Comput. Geosci., 2023)

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. - Xiaohong Liu 001; Xiongkuo Min; Guangtao Zhai; Chunyi Li; Tengchuan Kou; Wei Sun 029; Haoning Wu 001; Yixuan Gao; Yuqin Cao; Zicheng Zhang; Xiele Wu; Radu Timofte; et al. (CVPR Workshops, 2024)

EEG Acquisition and Motor Imagery Classification for Robotic Control. - Hamza Amrani; Daniela Micucci; Marco Nalin; Paolo Napoletano; Ilario Rizzi (EMBC, 2024)

Responsive Teleoperation of a Robotic Arm via Wearable Inertial Sensors. - Alessandro Fornaro; Daniela D'Auria; Hamza Amrani; Paolo Napoletano (GEM, 2024)

Multivariate Forecasting of Multiple Pollutants with Representative Deep Learning Architectures. - Simone Bianco 001; Luigi Celona; Matteo Lanzillotti; Paolo Napoletano (RTSI, 2024)

Lightweight Graph Neural Network for Dementia Assessment from EEG Recordings. - Thomas Barbera; Simone Zini; Simone Bianco 001; Paolo Napoletano (RTSI, 2024)

Arm Gesture Recognition with Smartwatches. - Andrea Colombo; Luigi Celona; Simone Bianco 001; Antonino Nocera; Paolo Napoletano (RTSI, 2024)

Improving Detection of Type-1 Diabetes Adverse Events Using GRU Networks. - Giorgia Rigamonti; Mirko Paolo Barbato; Davide Marelli; Paolo Napoletano (RTSI, 2024)

Synthetic Data Pretraining for Hyperspectral Image Super-Resolution. - Emanuele Aiello; Mirko Agarla; Diego Valsesia; Paolo Napoletano; Tiziano Bianchi; Enrico Magli; Raimondo Schettini (IEEE Access, 2024)

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. - Xiaohong Liu 001; Xiongkuo Min; Guangtao Zhai; Chunyi Li; Tengchuan Kou; Wei Sun 029; Haoning Wu 001; Yixuan Gao; Yuqin Cao; Zicheng Zhang; Xiele Wu; Radu Timofte; et al. (CoRR, 2024)

Cross-Camera Distracted Driver Classification through Feature Disentanglement and Contrastive Learning. - Simone Bianco 001; Luigi Celona; Paolo Napoletano (CoRR, 2024)

Ticino: A multi-modal remote sensing dataset for semantic segmentation. - Mirko Paolo Barbato; Flavio Piccoli; Paolo Napoletano (Expert Syst. Appl., 2024)

Semi-supervised cross-lingual speech emotion recognition. - Mirko Agarla; Simone Bianco 001; Luigi Celona; Paolo Napoletano; Alexey Petrovsky; Flavio Piccoli; Raimondo Schettini; Ivan Shanin (Expert Syst. Appl., 2024)

Deep Learning Hyperspectral Pansharpening on Large-Scale PRISMA Dataset. - Simone Zini; Mirko Paolo Barbato; Flavio Piccoli; Paolo Napoletano (Remote. Sens., 2024)

Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes. - Mirko Paolo Barbato; Giorgia Rigamonti; Davide Marelli; Paolo Napoletano (CoRR, 2025)

On using AI for EEG-based BCI applications: problems, current challenges and future trends. - Thomas Barbera; Jacopo Burger; Alessandro D'Amelio; Simone Zini; Simone Bianco 001; Raffaella Lanzarotti; Paolo Napoletano; Giuseppe Boccignone; José Luis Contreras-Vidal (CoRR, 2025)

Leveraging dataset integration and continual learning for human activity recognition. - Hamza Amrani; Daniela Micucci; Marco Mobilio; Paolo Napoletano (Int. J. Mach. Learn. Cybern., 2025)