MORELLI, DAVIDE Statistiche
MORELLI, DAVIDE
Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes
2023-01-01 Bacciu, Davide; Morelli, Davide; Pandelea, Vlad
Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data
2021-01-01 Bacciu, Davide; Bertoncini, Gioele; Morelli, Davide
Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts
2020-01-01 Rossi, Alessio; Pedreschi, Dino; Clifton, David A.; Morelli, Davide
ComeHere: exploiting Ethereum for secure sharing of health-care data,
2018-01-01 Franceschi, Matteo; Morelli, Davide; PLANS CASAL, David; Brown, A.; Collomosse, J.; Coutts, L.; Ricci, LAURA EMILIA MARIA
Randomized neural networks for preference learning with physiological data
2018-01-01 Bacciu, Davide; Colombo, Michele; Morelli, Davide; PLANS CASAL, David
DropIn: Making reservoir computing neural networks robust to missing inputs by dropout
2017-01-01 Bacciu, Davide; Crecchi, Francesco; Morelli, Davide
ELM Preference Learning for Physiological Data
2017-01-01 Bacciu, Davide; Colombo, Michele; Morelli, Davide; Plans, David
A high-level and accurate energy model of parallel and concurrent workloads
2015-01-01 Morelli, Davide; Canciani, Andrea; Cisternino, Antonio
Accurate Blind Predictions of OpenFOAM Energy Consumption Using the LBM Prediction Model
2014-01-01 Morelli, Davide; Cisternino, Antonio
Information Processing at Work: On Energy-Aware Algorithm Design
2010-01-01 Cisternino, Antonio; Ferragina, Paolo; Morelli, Davide; Coppola, Massimo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes | 1-gen-2023 | Bacciu, Davide; Morelli, Davide; Pandelea, Vlad | |
| Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data | 1-gen-2021 | Bacciu, Davide; Bertoncini, Gioele; Morelli, Davide | |
| Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts | 1-gen-2020 | Rossi, Alessio; Pedreschi, Dino; Clifton, David A.; Morelli, Davide | |
| ComeHere: exploiting Ethereum for secure sharing of health-care data, | 1-gen-2018 | Franceschi, Matteo; Morelli, Davide; PLANS CASAL, David; Brown, A.; Collomosse, J.; Coutts, L.; Ricci, LAURA EMILIA MARIA | |
| Randomized neural networks for preference learning with physiological data | 1-gen-2018 | Bacciu, Davide; Colombo, Michele; Morelli, Davide; PLANS CASAL, David | |
| DropIn: Making reservoir computing neural networks robust to missing inputs by dropout | 1-gen-2017 | Bacciu, Davide; Crecchi, Francesco; Morelli, Davide | |
| ELM Preference Learning for Physiological Data | 1-gen-2017 | Bacciu, Davide; Colombo, Michele; Morelli, Davide; Plans, David | |
| A high-level and accurate energy model of parallel and concurrent workloads | 1-gen-2015 | Morelli, Davide; Canciani, Andrea; Cisternino, Antonio | |
| Accurate Blind Predictions of OpenFOAM Energy Consumption Using the LBM Prediction Model | 1-gen-2014 | Morelli, Davide; Cisternino, Antonio | |
| Information Processing at Work: On Energy-Aware Algorithm Design | 1-gen-2010 | Cisternino, Antonio; Ferragina, Paolo; Morelli, Davide; Coppola, Massimo |