Davide Morelli

According to our database, Davide Morelli authored at least 36 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HEalthRecordBERT (HERBERT): Leveraging Transformers on Electronic Health Records for Chronic Kidney Disease Risk Stratification.

Alex Moore, Bastien Orset, Arrash Yassaee, Benjamin Irving, Davide Morelli

ACM Trans. Comput. Heal., July, 2024

conDENSE: Conditional Density Estimation for Time Series Anomaly Detection.

Alex Moore, Davide Morelli

J. Artif. Intell. Res., 2024

Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing.

Alberto Baldrati, Davide Morelli, Marcella Cornia, Marco Bertini, Rita Cucchiara

CoRR, 2024

2023

Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes.

Davide Bacciu, Davide Morelli, Vlad Pandelea

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates.

Nicholas Moratelli, Manuele Barraco, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

Sensors, February, 2023

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images.

Roberto Amoroso, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Alberto Del Bimbo, Rita Cucchiara

CoRR, 2023

LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On.

Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara

Proceedings of the 31st ACM International Conference on Multimedia, 2023

OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data.

Giuseppe Cartella, Alberto Baldrati, Davide Morelli, Marcella Cornia, Marco Bertini, Rita Cucchiara

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing.

Alberto Baldrati, Davide Morelli, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data.

Davide Bacciu, Gioele Bertoncini, Davide Morelli

Neural Comput. Appl., 2022

Dress Code: High-Resolution Multi-Category Virtual Try-On.

Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Dual-Branch Collaborative Transformer for Virtual Try-On.

Emanuele Fenocchi, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Fabio Cesari, Rita Cucchiara

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Defect detection by a deep learning approach with active IR thermography.

Giovanna Guaragnella, Davide Morelli, Tiziana D'Orazio, Umberto Galietti, Bartolomeo Trentadue, Roberto Marani

Proceedings of the 8th International Conference on Control, 2022

2021

A Convolution Residual Network for Heating-Invariant Defect Segmentation in Composite Materials Inspected by Lock-in Thermography.

Davide Morelli, Roberto Marani, Ester D'Accardi, Davide Palumbo, Umberto Galietti, Tiziana D'Orazio

IEEE Trans. Instrum. Meas., 2021

SDNN24 Estimation from Semi-Continuous HR Measures.

Davide Morelli, Alessio Rossi, Leonardo Bartoloni, Massimo Cairo, David A. Clifton

Sensors, 2021

Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study.

Nikola Dolezalova, Massimo Cairo, Alex Despotovic, Adam T. C. Booth, Angus B. Reed, Davide Morelli, David Plans

CoRR, 2021

Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population.

Davide Morelli, N. Dolezalova, S. Ponzo, Michele Colombo, David Plans

CoRR, 2021

Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study.

Nikola Dolezalova, Angus B. Reed, Alex Despotovic, Bernard Dillon Obika, Davide Morelli, Mert Aral, David Plans

CoRR, 2021

FashionSearch++: Improving Consumer-to-Shop Clothes Retrieval with Hard Negatives.

Davide Morelli, Marcella Cornia, Rita Cucchiara

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

2020

Design of Modern Supply Chain Networks Using Fuzzy Bargaining Game and Data Envelopment Analysis.

Graziana Cavone, Mariagrazia Dotoli, Nicola Epicoco, Davide Morelli, Carla Seatzu

IEEE Trans Autom. Sci. Eng., 2020

Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts.

Alessio Rossi, Dino Pedreschi, David A. Clifton, Davide Morelli

Sensors, 2020

A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults.

Alessio Rossi, Eleonora Da Pozzo, Dario Menicagli, Chiara Tremolanti, Corrado Priami, Alina Sîrbu, David A. Clifton, Claudia Martini, Davide Morelli

Data, 2020

2019

Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations.

Davide Morelli, Alessio Rossi, Massimo Cairo, David A. Clifton

Sensors, 2019

2018

Randomized neural networks for preference learning with physiological data.

Davide Bacciu, Michele Colombo, Davide Morelli, David Plans

Neurocomputing, 2018

ComeHere: Exploiting Ethereum for Secure Sharing of Health-Care Data.

Matteo Franceschi, Davide Morelli, David Plans, Alan W. Brown, John P. Collomosse, Louise V. Coutts, Laura Ricci

Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

A Game-theoretical Design Technique for Multi-stage Supply Chains under Uncertainty.

Graziana Cavone, Mariagrazia Dotoli, Nicola Epicoco, Davide Morelli, Carla Seatzu

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017

DropIn: Making reservoir computing neural networks robust to missing inputs by dropout.

Davide Bacciu, Francesco Crecchi, Davide Morelli

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

ELM Preference Learning for Physiological Data.

Davide Bacciu, Michele Colombo, Davide Morelli, David Plans

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

A high-level and accurate energy model of parallel and concurrent workloads.

Davide Morelli, Andrea Canciani, Antonio Cisternino

Concurr. Comput. Pract. Exp., 2016

2015

Unifying hardware and software benchmarking: a resource-agnostic model.

Davide Morelli

PhD thesis, 2015

2014

Accurate Blind Predictions of OpenFOAM Energy Consumption Using the LBM Prediction Model.

Davide Morelli, Antonio Cisternino

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2012

Experience-Driven Procedural Music Generation for Games.

David Plans, Davide Morelli

IEEE Trans. Comput. Intell. AI Games, 2012

A compositional model to characterize software and hardware from their resource usage.

Davide Morelli, Antonio Cisternino

Proceedings of the 2012 Imperial College Computing Student Workshop, 2012

2010

Information processing at work: On energy-aware algorithm design.

Antonio Cisternino, Paolo Ferragina, Davide Morelli, Massimo Coppola

Proceedings of the International Green Computing Conference 2010, 2010

2007

Remembering the Future : an Overview of Co-Evolution in Musical Improvisation.

David Plans, Davide Morelli

Proceedings of the 2007 International Computer Music Conference, 2007

2006

Playing music: an installation based on Xenakis' musical games.

Marco Liuni, Davide Morelli

Proceedings of the working conference on Advanced visual interfaces, 2006