Giovanni Delnevo
Orcid: 0000-0001-6640-5746
According to our database1,
Giovanni Delnevo
authored at least 64 papers
between 2017 and 2024.
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Bibliography
2024
A Support Tool for Emergency Management in Smart Campuses: Reference Architecture and Enhanced Web User Interfaces.
Sensors, September, 2024
Findings on Machine Learning for Identification of Archaeological Ceramics: A Systematic Literature Review.
IEEE Access, 2024
Proceedings of the IEEE Symposium on Computers and Communications, 2024
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024
Enhancing Road Safety Through Fitness-to-Drive Metrics: The NextPerception Project on Driver Behavior Analysis and Gamification.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024
Toward a Digital Twin: Combining Sensing, Machine Learning, and Data Visualization for the Effective Management of a Coastal Lagoon Environment.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024
On the Interaction with Large Language Models for Web Accessibility: Implications and Challenges.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024
2023
Unsupervised hyperspectral image segmentation of films: a hierarchical clustering-based approach.
J. Big Data, December, 2023
An evaluation methodology to determine the actual limitations of a TinyML-based solution.
Internet Things, July, 2023
Neural Networks for Hyperspectral Imaging of Historical Paintings: A Practical Review.
Sensors, March, 2023
Evaluating the use of machine learning algorithms in environmental sensing for energy saving.
Proceedings of the 2nd Workshop on Networked Sensing Systems for a Sustainable Society, 2023
Proceedings of the International Conference on Information and Communication Technologies for Disaster Management, 2023
Proceedings of the 2023 ACM Conference on Information Technology for Social Good, 2023
2022
Edge-Based Transfer Learning for Classroom Occupancy Detection in a Smart Campus Context.
Sensors, 2022
A Deep Learning and Social IoT Approach for Plants Disease Prediction Toward a Sustainable Agriculture.
IEEE Internet Things J., 2022
On the prediction of air quality within vehicles using outdoor air pollution: sensors and machine learning algorithms.
Proceedings of the NET4us '22: Proceedings of the ACM SIGCOMM Workshop on Networked Sensing Systems for a Sustainable Society, 2022
Social Sensing for Monuments Recognition using Convolutional Neural Networks: A Case Study.
Proceedings of the IEEE Symposium on Computers and Communications, 2022
Are all the flowers the same? A Citizen Science mobile app for increasing awareness about insect pollinators.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Hierarchical clustering as an unsurpervised machine learning algorithm for hyperspectral image segmentation of films.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
On Designing a Mobile App to Support People with Cognitive Disabilities in Daily Activities.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
2021
On Supporting University Communities in Indoor Wayfinding: An Inclusive Design Approach.
Sensors, 2021
The Prediction of Body Mass Index from Negative Affectivity through Machine Learning: A Confirmatory Study.
Sensors, 2021
An alternative approach to dimension reduction for pareto distributed data: a case study.
J. Big Data, 2021
Categorical data as a stone guest in a data science project for predicting defective water meters.
CoRR, 2021
Modeling CoVid-19 Diffusion with Intelligent Computational Techniques is not Working. What Are We Doing Wrong?
Proceedings of the Human Interaction, Emerging Technologies and Future Applications IV - Proceedings of the 4th International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET, 2021
Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021
A deep learning approach to anthropogenic load assessment for sustainable coastal tourism.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021
2020
A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis.
Mob. Networks Appl., 2020
Mob. Networks Appl., 2020
Is a COVID-19 Second Wave Possible in Emilia-Romagna (Italy)? Forecasting a Future Outbreak with Particulate Pollution and Machine Learning.
Comput., 2020
Particulate Matter and COVID-19 Disease Diffusion in Emilia-Romagna (Italy). Already a Cold Case?
Comput., 2020
Proceedings of the 1st Workshop on Experiences with the Design and Implementation of Frugal Smart Objects, 2020
Dimensionality Reduction and the Strange Case of Categorical Data for Predicting Defective Water Meter Devices.
Proceedings of the Human Interaction, Emerging Technologies and Future Applications III, 2020
Potential and Limitations of Designing a Deep Learning Model for Discovering New Archaeological Sites: A Case with the Mesopotamian Floodplain.
Proceedings of the GoodTechs '20: 6th EAI International Conference on Smart Objects and Technologies for Social Good, 2020
A Study on The Limits and Potential of Machine Predictions from a Human-Big Data-Machine Interaction Perspective.
Proceedings of the GoodTechs '20: 6th EAI International Conference on Smart Objects and Technologies for Social Good, 2020
On exploiting Gamification for the Crowdsensing of Air Pollution: a Case Study on a Bicycle-based System.
Proceedings of the GoodTechs '20: 6th EAI International Conference on Smart Objects and Technologies for Social Good, 2020
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020
2019
Multim. Tools Appl., 2019
Is bigger always better? A controversial journey to the center of machine learning design, with uses and misuses of big data for predicting water meter failures.
J. Big Data, 2019
J. Big Data, 2019
A User-Centred Approach to Design In-Vehicle Human Machine Interfaces: A Case Study for Electric Cars.
Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability, 2019
Deep Water: Predicting Water Meter Failures Through a Human-Machine Intelligence Collaboration.
Proceedings of the Human Interaction and Emerging Technologies, 2019
What Do Patients Tell Doctors on the Internet? Ask AI How to Valorize Online Medical Conversations.
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019
A Paradox in ML Design: Less data for a smarter water metering cognification experience.
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019
2018
Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good, 2018
Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good, 2018
Proceedings of the Third IEEE/ACM International Conference on Connected Health: Applications, 2018
On augmenting the experience of people with mobility impairments while exploring the city: A case study with wearable devices.
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018
Patients Reactions to Non-Invasive and Invasive Prenatal Tests: A Machine-Based Analysis from Reddit Posts.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
Proceedings of the 2017 ACM Workshop on Interacting with Smart Objects, 2017
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017
Proceedings of the Smart Objects and Technologies for Social Good, 2017
Discovering the City: Crowdsourcing and Personalized Urban Paths Across Cultural Heritage.
Proceedings of the Smart Objects and Technologies for Social Good, 2017
Smart Mobility and Sensing: Case Studies Based on a Bike Information Gathering Architecture.
Proceedings of the Smart Objects and Technologies for Social Good, 2017