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ORCIDPasquale De Rosa
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- Pasquale A. Della Rosa (aka: Pasquale Anthony Della Rosa)
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2020 – today
- 2024
[j3]Pasquale De Rosa
, Pascal Felber, Valerio Schiavoni:
CryptoAnalytics: Cryptocoins price forecasting with machine learning techniques. SoftwareX 26: 101663 (2024)- [c4]Pasquale De Rosa, Yérom-David Bromberg, Pascal Felber, Djob Mvondo, Valerio Schiavoni:
On the Cost of Model-Serving Frameworks: An Experimental Evaluation. IC2E 2024: 221-232 - [i3]Pasquale De Rosa, Pascal Felber, Valerio Schiavoni:
Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns. CoRR abs/2409.03674 (2024) - [i2]Pasquale De Rosa, Pascal Felber, Valerio Schiavoni:
CryptoAnalytics: Cryptocoins Price Forecasting with Machine Learning Techniques. CoRR abs/2409.04106 (2024) - 2023
- [j2]Yasmine Djebrouni, Nawel Benarba, Ousmane Touat, Pasquale De Rosa, Sara Bouchenak, Angela Bonifati, Pascal Felber, Vania Marangozova, Valerio Schiavoni:
Bias Mitigation in Federated Learning for Edge Computing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 157:1-157:35 (2023) - [c3]Pasquale De Rosa, Pascal Felber, Valerio Schiavoni:
Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns. DEBS 2023: 80-90 - 2022
- [j1]Pasquale De Rosa, Michel Deriaz, Marco De Marco, Luigi Laura:
Service Recommendations with Deep Learning: A Study on Neural Collaborative Engines. Pac. Asia J. Assoc. Inf. Syst. 14(2): 5 (2022) - [c2]Pasquale De Rosa, Valerio Schiavoni:
Understanding Cryptocoins Trends Correlations. DAIS 2022: 29-36 - [i1]Pasquale De Rosa, Valerio Schiavoni:
Understanding Cryptocoins Trends Correlations. CoRR abs/2212.01267 (2022) - 2020
- [c1]Giovanni Luca Cascio Rizzo, Marco De Marco, Pasquale De Rosa, Luigi Laura:
Collaborative Recommendations with Deep Feed-Forward Networks: An Approach to Service Personalization. IESS 2020: 65-78
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