Playing music: an installation based on Xenakis' musical games. - Marco Liuni; Davide Morelli (AVI, 2006)

Remembering the Future : an Overview of Co-Evolution in Musical Improvisation. - David Plans; Davide Morelli (ICMC, 2007)

Information processing at work: On energy-aware algorithm design. - Antonio Cisternino; Paolo Ferragina; Davide Morelli; Massimo Coppola (Green Computing Conference, 2010)

A compositional model to characterize software and hardware from their resource usage. - Davide Morelli; Antonio Cisternino (ICCSW, 2012)

Experience-Driven Procedural Music Generation for Games. - David Plans; Davide Morelli (IEEE Trans. Comput. Intell. AI Games, 2012)

Accurate Blind Predictions of OpenFOAM Energy Consumption Using the LBM Prediction Model. - Davide Morelli; Antonio Cisternino (Euro-Par Workshops (2), 2014)

Unifying hardware and software benchmarking: a resource-agnostic model. - Davide Morelli (2015)

A high-level and accurate energy model of parallel and concurrent workloads. - Davide Morelli; Andrea Canciani; Antonio Cisternino (Concurr. Comput. Pract. Exp., 2016)

ELM Preference Learning for Physiological Data. - Davide Bacciu; Michele Colombo; Davide Morelli; David Plans (ESANN, 2017)

DropIn: Making reservoir computing neural networks robust to missing inputs by dropout. - Davide Bacciu; Francesco Crecchi; Davide Morelli (IJCNN, 2017)

A Game-theoretical Design Technique for Multi-stage Supply Chains under Uncertainty. - Graziana Cavone; Mariagrazia Dotoli; Nicola Epicoco; Davide Morelli; Carla Seatzu (CASE, 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 (Euro-Par Workshops, 2018)

Randomized neural networks for preference learning with physiological data. - Davide Bacciu; Michele Colombo; Davide Morelli; David Plans (Neurocomputing, 2018)

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)

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)

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)

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)

FashionSearch++: Improving Consumer-to-Shop Clothes Retrieval with Hard Negatives. - Davide Morelli; Marcella Cornia; Rita Cucchiara (IIR, 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)

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 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)

SDNN24 Estimation from Semi-Continuous HR Measures. - Davide Morelli; Alessio Rossi; Leonardo Bartoloni; Massimo Cairo; David A. Clifton (Sensors, 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)

Defect detection by a deep learning approach with active IR thermography. - Giovanna Guaragnella; Davide Morelli; Tiziana D'Orazio; Umberto Galietti; Bartolomeo Trentadue; Roberto Marani (CoDIT, 2022)

Dual-Branch Collaborative Transformer for Virtual Try-On. - Emanuele Fenocchi; Davide Morelli; Marcella Cornia; Lorenzo Baraldi 001; Fabio Cesari; Rita Cucchiara (CVPR Workshops, 2022)

Dress Code: High-Resolution Multi-Category Virtual Try-On. - Davide Morelli; Matteo Fincato; Marcella Cornia; Federico Landi; Fabio Cesari; Rita Cucchiara (CVPR Workshops, 2022)

Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data. - Davide Bacciu; Gioele Bertoncini; Davide Morelli (Neural Comput. Appl., 2022)

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing. - Alberto Baldrati; Davide Morelli; Giuseppe Cartella; Marcella Cornia; Marco Bertini 001; Rita Cucchiara (ICCV, 2023)

OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data. - Giuseppe Cartella; Alberto Baldrati; Davide Morelli; Marcella Cornia; Marco Bertini 001; Rita Cucchiara (ICIAP (1), 2023)

LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On. - Davide Morelli; Alberto Baldrati; Giuseppe Cartella; Marcella Cornia; Marco Bertini 001; Rita Cucchiara (ACM Multimedia, 2023)

Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates. - Nicholas Moratelli; Manuele Barraco; Davide Morelli; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (Sensors, 2023)

Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes. - Davide Bacciu; Davide Morelli; Vlad Pandelea (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing. - Alberto Baldrati; Davide Morelli; Marcella Cornia; Marco Bertini 001; Rita Cucchiara (CoRR, 2024)

conDENSE: Conditional Density Estimation for Time Series Anomaly Detection. - Alex Moore; Davide Morelli (J. Artif. Intell. Res., 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., 2024)

Parents and Children: Distinguishing Multimodal Deepfakes from Natural Images. - Roberto Amoroso; Davide Morelli; Marcella Cornia; Lorenzo Baraldi 001; Alberto Del Bimbo; Rita Cucchiara (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation. - Fulvio Sanguigni; Davide Morelli; Marcella Cornia; Rita Cucchiara (CoRR, 2025)