Vincenzo Gattulli

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 22

Top Topics

Transfer Learning

Activity Recognition

Top Venues

J. Optim. Theory Appl.

Int. J. Pattern Recognit. Artif. Intell.

Publications

Vincenzo Gattulli, Lucia Sarcinella
Human Activity Recognition for Identifying Bullying and Cyberbullying: A Comparative Analysis Between Users Under and over 18 Years Old. ICPRAM (2024)
Vito Nicola Convertini, Vincenzo Gattulli, Donato Impedovo, Grazia Terrone
Classification bullying/cyberbullying through smartphone sensor and a questionnaire application. Multim. Tools Appl. 83 (17) (2024)
Marianna Crognale, Cecilia Rinaldi, Francesco Potenza, Vincenzo Gattulli, Andrea Colarieti, Fabio Franchi
Developing and Testing High-Performance SHM Sensors Mounting Low-Noise MEMS Accelerometers. Sensors 24 (8) (2024)
Vincenzo Dentamaro, Vincenzo Gattulli, Donato Impedovo, Fabio Manca
Human activity recognition with smartphone-integrated sensors: A survey. Expert Syst. Appl. 246 (2024)
Giulia Orrù, Antonio Galli, Vincenzo Gattulli, Michela Gravina, Marco Micheletto, Stefano Marrone, Wanda Nocerino, Angela Procaccino, Grazia Terrone, Donatella Curtotti, Donato Impedovo, Gian Luca Marcialis, Carlo Sansone
Development of Technologies for the Detection of (Cyber)Bullying Actions: The BullyBuster Project. Inf. 14 (8) (2023)
Vincenzo Gattulli, Donato Impedovo, Lucia Sarcinella
Anomaly Detection Using Smartphone Sensors for a Bullying Detection. WorldCIST (4) (2023)
Vincenzo Gattulli, Donato Impedovo, Tonino Palmisano, Lucia Sarcinella
Fixed Tasks for Continuous Authentication via Smartphone. ICPRAM (2023)
Giulia Orrù, Antonio Galli, Vincenzo Gattulli, Michela Gravina, Stefano Marrone, Marco Micheletto, Angela Procaccino, Wanda Nocerino, Grazia Terrone, Donatella Curtotti, Donato Impedovo, Gian Luca Marcialis, Carlo Sansone
Leveraging Artificial Intelligence to Fight (Cyber)Bullying for Human Well-being: The BullyBuster Project. Ital-IA (2023)
Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo, Gianfranco Semeraro
Handwriting Task-Selection based on the Analysis of Patterns in Classification Results on Alzheimer Dataset. DSTNDS (2023)
Francesco Castro, Vincenzo Dentamaro, Vincenzo Gattulli, Donato Impedovo
Fall Detection with LSTM and Attention Mechanism. WAMWB@MobileHCI (2023)
Stefano Anastasia, Enrique García-Macías, Filippo Ubertini, Vincenzo Gattulli, Salvador Ivorra
Damage Identification of Railway Bridges through Temporal Autoregressive Modeling. Sensors 23 (21) (2023)
Berardina De Carolis, Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo
WanDa: A Mobile Application to Prevent Wandering. WIVACE (2022)
Michela Chimienti, Ivan Danzi, Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo, Davide Veneto
Behavioral Analysis for User Satisfaction. BigMM (2022)
Vincenzo Dentamaro, Vincenzo Gattulli, Paolo Giglio, Donato Impedovo, Giuseppe Pirlo
Human Description in the Wild: Description of the Scene with Ensembles of AI Models. S+SSPR (2022)
Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo, Gianfranco Semeraro
Early Dementia Identification: On the Use of Random Handwriting Strokes. IGS (2022)
Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo, Lucia Sarcinella
Cyber Aggression and Cyberbullying Identification on Social Networks. ICPRAM (2022)
Donato Impedovo, Giacomo Abbattista, Vito Nicola Convertini, Vincenzo Gattulli, Giuseppe Pirlo, Lucia Sarcinella
Effective Machine Learning Solutions for Punctual Weather Parameter Forecasting in a Real Missing Data Scenario. Int. J. Pattern Recognit. Artif. Intell. 35 (12) (2021)
Donato Impedovo, Vincenzo Dentamaro, Giacomo Abbattista, Vincenzo Gattulli, Giuseppe Pirlo
A comparative study of shallow learning and deep transfer learning techniques for accurate fingerprints vitality detection. Pattern Recognit. Lett. 151 (2021)
Vincenzo Dentamaro, Donato Impedovo, Giuseppe Pirlo, Giacomo Abbattista, Vincenzo Gattulli
Double Deep Q Network with In-Parallel Experience Generator. EAIS (2020)
Patrizia Trovalusci, Giulio Maier, Vincenzo Gattulli
Computational Optimization for Structural Engineering Applications. J. Optim. Theory Appl. 187 (3) (2020)
Francesco Smarra, Giovanni Domenico Di Girolamo, Vincenzo Gattulli, Fabio Graziosi, Alessandro D'Innocenzo
Learning Models for Seismic-Induced Vibrations Optimal Control in Structures via Random Forests. J. Optim. Theory Appl. 187 (3) (2020)
Erika Ottaviano, Vincenzo Gattulli, Francesco Potenza
Elasto-Static Model for Point Mass Sagged Cable-Suspended Robots. ARK (2016)
Dora Foti, Vincenzo Gattulli, Francesco Potenza
Output-Only Identification and Model Updating by Dynamic Testing in Unfavorable Conditions of a Seismically Damaged Building. Comput. Aided Civ. Infrastructure Eng. 29 (9) (2014)
Fabio Federici, Fabio Graziosi, Marco Faccio, Andrea Colarieti, Vincenzo Gattulli, Marco Lepidi, Francesco Potenza
An Integrated Approach to the Design of Wireless Sensor Networks for Structural Health Monitoring. Int. J. Distributed Sens. Networks 8 (2012)
Vincenzo Gattulli, Franco Di Fabio, Angelo Luongo
Simple and double Hopf bifurcations in aeroelastic oscillators with tuned mass dampers. J. Frankl. Inst. 338 (2-3) (2001)