Modular design of a novel wireless sensor node for smart environments. - Massimo Grisostomi; Lucio Ciabattoni; Mariorosario Prist; Luca Romeo; Gianluca Ippoliti; Sauro Longhi (MESA, 2014)

A tool for home-based rehabilitation allowing for clinical evaluation in a visual markerless scenario. - Marianna Capecci; Maria Gabriella Ceravolo; Fabrizio D'Orazio; Francesco Ferracuti; Sabrina Iarlori; Giuseppe Lazzaro; Sauro Longhi; Luca Romeo; Federica Verdini (EMBC, 2015)

Evaluation of Unimodal and Multimodal Communication Cues for Attracting Attention in Human-Robot Interaction. - Elena Torta; Jim van Heumen; Francesco Piunti; Luca Romeo; Raymond H. Cuijpers (Int. J. Soc. Robotics, 2015)

Physical rehabilitation exercises assessment based on Hidden Semi-Markov Model by Kinect v2. - Marianna Capecci; M. Gabriella Ceravolo; Francesco Ferracuti; Sabrina Iarlori; Ville Kyrki; Sauro Longhi; Luca Romeo; Federica Verdini (BHI, 2016)

Accuracy evaluation of the Kinect v2 sensor during dynamic movements in a rehabilitation scenario. - Marianna Capecci; M. Gabriella Ceravolo; Francesco Ferracuti; Sabrina Iarlori; Sauro Longhi; Luca Romeo; Severino N. Russi; Federica Verdini (EMBC, 2016)

Serious gaming approach for physical activity monitoring: A visual feedback based on quantitative evaluation. - Lucio Ciabattoni; Francesco Ferracuti; Giuseppe Lazzaro; Luca Romeo; Federica Verdini (ICCE-Berlin, 2016)

A novel computer vision based e-rehabilitation system: From gaming to therapy support. - Lucio Ciabattoni; Francesco Ferracuti; Sabrina Iarlori; Sauro Longhi; Luca Romeo (ICCE, 2016)

A sensor fusion approach for measuring emotional customer experience in an intelligent retail environment. - Lucio Ciabattoni; Emanuele Frontoni; Daniele Liciotti; Marina Paolanti; Luca Romeo (ICCE-Berlin, 2017)

Real-time mental stress detection based on smartwatch. - Lucio Ciabattoni; Francesco Ferracuti; Sauro Longhi; Lucia Pepa; Luca Romeo; Federica Verdini (ICCE, 2017)

Multimedia experience enhancement through affective computing. - Lucio Ciabattoni; Francesco Ferracuti; Sauro Longhi; Lucia Pepa; Luca Romeo; Federica Verdini (ICCE, 2017)

Complex activity recognition system based on cascade classifiers and wearable device data. - Lucio Ciabattoni; Gabriele Foresi; Andrea Monteriù; Daniele Proietti Pagnotta; Luca Romeo; Luca Spalazzi; A. De Cesare (ICCE, 2018)

Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction. - Chiara Calamanti; Marina Paolanti; Luca Romeo; Michele Bernardini; Emanuele Frontoni (MESA, 2018)

Machine Learning approach for Predictive Maintenance in Industry 4.0. - Marina Paolanti; Luca Romeo; Andrea Felicetti; Adriano Mancini; Emanuele Frontoni; Jelena Loncarski (MESA, 2018)

Collaborative design of a telerehabilitation system enabling virtual second opinion based on fuzzy logic. - Marianna Capecci; Lucio Ciabattoni; Francesco Ferracuti; Andrea Monteriù; Luca Romeo; Federica Verdini (IET Comput. Vis., 2018)

A Hidden Semi-Markov Model based approach for rehabilitation exercise assessment. - Marianna Capecci; Maria Gabriella Ceravolo; Francesco Ferracuti; Sabrina Iarlori; Ville Kyrki; Andrea Monteriù; Luca Romeo; Federica Verdini (J. Biomed. Informatics, 2018)

A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental Validation. - Andrea Monteriù; Mariorosario Prist; Emanuele Frontoni; Sauro Longhi; Filippo Pietroni; Sara Casaccia; Lorenzo Scalise; Annalisa Cenci; Luca Romeo; Riccardo Berta; Loreto Pescosolido; Gianni Orlandi; et al. (Sensors, 2018)

Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection. - Marina Paolanti; Luca Romeo; Daniele Liciotti; Rocco Pietrini; Annalisa Cenci; Emanuele Frontoni; Primo Zingaretti (Sensors, 2018)

Measuring Environmental Data and Physiological Parameters at Home to Assess the Caregiver Burden in Assistants of People with Dementia. - Sara Casaccia; Andrea Calvaresi; Nicole Morresi; Lorenzo Scalise; Andrea Monteriù; Luca Romeo; Emanuele Frontoni; Gian Marco Revel (ForItAAL, 2019)

Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data. - Alessandro Ferri; Riccardo Rosati 002; Michele Bernardini; Leonardo Gabrielli; Sara Casaccia; Luca Romeo; Andrea Monteriù; Emanuele Frontoni (ISCT, 2019)

TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records. - Michele Bernardini; Micaela Morettini; Luca Romeo; Emanuele Frontoni; Laura Burattini (Comput. Biol. Medicine, 2019)

Robotic retail surveying by deep learning visual and textual data. - Marina Paolanti; Luca Romeo; Massimo Martini; Adriano Mancini; Emanuele Frontoni; Primo Zingaretti (Robotics Auton. Syst., 2019)

3D Human Pose Estimation Based on Multi-Input Multi-Output Convolutional Neural Network and Event Cameras: A Proof of Concept on the DHP19 Dataset. - Alessandro Manilii; Leonardo Lucarelli; Riccardo Rosati 002; Luca Romeo; Adriano Mancini; Emanuele Frontoni (ICPR Workshops (1), 2020)

A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0. - Giulia Pazzaglia; Massimo Martini; Riccardo Rosati 002; Luca Romeo; Emanuele Frontoni (ICPR Workshops (4), 2020)

Bias from the Wild Industry 4.0: Are We Really Classifying the Quality or Shotgun Series? - Riccardo Rosati 002; Luca Romeo; Gianalberto Cecchini; Flavio Tonetto; Luca Perugini; Luca Ruggeri; Paolo Viti; Emanuele Frontoni (ICPR Workshops (4), 2020)

A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study. - Luca Romeo; Giuseppe Armentano; Antonio Nicolucci; Marco Vespasiani; Giacomo Vespasiani; Emanuele Frontoni (IJCAI, 2020)

Machine Learning in Capital Markets: Decision Support System for Outcome Analysis. - Riccardo Rosati 002; Luca Romeo; Carlos Alfaro Goday; Tullio Menga; Emanuele Frontoni (IEEE Access, 2020)

Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach. - Michele Bernardini; Micaela Morettini; Luca Romeo; Emanuele Frontoni; Laura Burattini (Artif. Intell. Medicine, 2020)

Faster R-CNN approach for detection and quantification of DNA damage in comet assay images. - Riccardo Rosati 002; Luca Romeo; Sonia Silvestri; Fabio Marcheggiani; Luca Tiano; Emanuele Frontoni (Comput. Biol. Medicine, 2020)

Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0. - Luca Romeo; Jelena Loncarski; Marina Paolanti; Gianluca Bocchini; Adriano Mancini; Emanuele Frontoni (Expert Syst. Appl., 2020)

A sequential deep learning application for recognising human activities in smart homes. - Daniele Liciotti; Michele Bernardini; Luca Romeo; Emanuele Frontoni (Neurocomputing, 2020)

SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0. - Matteo Calabrese; Martin Cimmino; Francesca Fiume; Martina Manfrin; Luca Romeo; Silvia Ceccacci; Marina Paolanti; Giuseppe Toscano; Giovanni Ciandrini; Alberto Carrotta; Maura Mengoni; Emanuele Frontoni; et al. (Inf., 2020)

Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine. - Michele Bernardini; Luca Romeo; Paolo Misericordia; Emanuele Frontoni (IEEE J. Biomed. Health Informatics, 2020)

Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection. - Fabio Vesperini; Luca Romeo; Emanuele Principi; Andrea Monteriù; Stefano Squartini (Neural Approaches to Dynamics of Signal Exchanges, 2020)

A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy. - Michele Bernardini; Luca Romeo; Adriano Mancini; Emanuele Frontoni (IEEE Access, 2021)

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. - Farshad Firouzi; Bahareh J. Farahani; Mahmoud Daneshmand; Kathy Grise; Jaeseung Song; Roberto Saracco; Lucy Lu Wang; Kyle Lo; Plamen Angelov 001; Eduardo A. Soares 001; Po-Shen Loh; Zeynab Talebpour; et al. (IEEE Internet Things J., 2021)

Functional evaluation of triceps surae during heel rise test: from EMG frequency analysis to machine learning approach. - Francesco Ferracuti; Sandro Fioretti; Emanuele Frontoni; Sabrina Iarlori; Alessandro Mengarelli; Michele Riccio; Luca Romeo; Federica Verdini (Medical Biol. Eng. Comput., 2021)

A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution. - Michele Bernardini; Luca Romeo; Emanuele Frontoni; Massih-Reza Amini (IEEE J. Biomed. Health Informatics, 2021)

Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez; Lorenzo Bianchini; Alessandra Capriotti; Rosario Capparuccia; Emanuele Frontoni (SOCO, 2022)

A novel deep ordinal classification approach for aesthetic quality control classification. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez; Emanuele Frontoni (Neural Comput. Appl., 2022)

A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign. - Luca Romeo; Emanuele Frontoni (Pattern Recognit., 2022)

Multiple Instance Learning for Emotion Recognition Using Physiological Signals. - Luca Romeo; Andrea Cavallo; Lucia Pepa; Nadia Bianchi-Berthouze; Massimiliano Pontil (IEEE Trans. Affect. Comput., 2022)

Fault Diagnosis of Rotating Machinery Based on Wasserstein Distance and Feature Selection. - Francesco Ferracuti; Alessandro Freddi; Andrea Monteriù; Luca Romeo (IEEE Trans Autom. Sci. Eng., 2022)

Mitigating Bias in Aesthetic Quality Control Tasks: An Adversarial Learning Approach. - Denis Bernovschi; Alex Giacomini; Riccardo Rosati 002; Luca Romeo (ISM, 2023)

Data augmentation strategy for generating realistic samples on defect segmentation task. - Massimo Martini; Riccardo Rosati 002; Luca Romeo; Adriano Mancini (ISM, 2023)

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Riccardo Rosati 002; Luca Romeo; Emanuele Frontoni; César Hervás-Martínez (Comput. Ind., 2023)

A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. - Víctor Manuel Vargas; Riccardo Rosati 002; César Hervás-Martínez; Adriano Mancini; Luca Romeo; Pedro Antonio Gutiérrez (Eng. Appl. Artif. Intell., 2023)

From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0. - Riccardo Rosati 002; Luca Romeo; Gianalberto Cecchini; Flavio Tonetto; Paolo Viti; Adriano Mancini; Emanuele Frontoni (J. Intell. Manuf., 2023)

Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Riccardo Rosati 002; Luca Romeo; Emanuele Frontoni; César Hervás-Martínez (Appl. Soft Comput., 2023)

A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets. - Michele Bernardini; Anastasiia Doinychko; Luca Romeo; Emanuele Frontoni; Massih-Reza Amini (Comput. Biol. Medicine, 2023)

Neighborhood Component Feature Selection for Multiple Instance Learning Paradigm. - Giacomo Turri; Luca Romeo (ECML/PKDD (1), 2024)

On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security. - Oleksandr Kuznetsov; Paolo Sernani; Luca Romeo; Emanuele Frontoni; Adriano Mancini (IEEE Access, 2024)

Corrections to "On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security". - Oleksandr Kuznetsov; Paolo Sernani; Luca Romeo; Emanuele Frontoni; Adriano Mancini (IEEE Access, 2024)

Multi-Rater Consensus Learning for Modeling Multiple Sparse Ratings of Affective Behaviour. - Luca Romeo; Temitayo A. Olugbade; Massimiliano Pontil; Nadia Bianchi-Berthouze (IEEE Trans. Affect. Comput., 2024)

Image steganalysis using deep learning models. - Alexandr Kuznetsov; Nicolas Luhanko; Emanuele Frontoni; Luca Romeo; Riccardo Rosati 002 (Multim. Tools Appl., 2024)

Enhancing copy-move forgery detection through a novel CNN architecture and comprehensive dataset analysis. - Oleksandr Kuznetsov; Emanuele Frontoni; Luca Romeo; Riccardo Rosati 002 (Multim. Tools Appl., 2024)

Single- and multi-task linear models for ATMs fault classification in human-centered predictive maintenance. - Riccardo Rosati 002; Luca Romeo; Adriano Mancini (Comput. Ind. Eng., 2025)

Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Emanuele Frontoni; César Hervás-Martínez (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Learning Models for Robust Facial Liveness Detection. - Oleksandr Kuznetsov; Emanuele Frontoni; Luca Romeo; Riccardo Rosati 002; Andrea Maranesi; Alessandro Muscatello (CoRR, 2025)