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Giovanni Rosa

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2020 – today

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2024
[j7]
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Giovanni Rosa, Federico Zappone, Simone Scalabrino, Rocco Oliveto:
Fixing Dockerfile smells: an empirical study. Empir. Softw. Eng. 29(5): 108 (2024)
[j6]
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Emanuela Guglielmi, Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Help Them Understand: Testing and Improving Voice User Interfaces. ACM Trans. Softw. Eng. Methodol. 33(6): 143 (2024)
[c16]
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  - conf/msr/RosaSRO24
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Giovanni Rosa, Simone Scalabrino, Gregorio Robles, Rocco Oliveto:
Not all Dockerfile Smells are the Same: An Empirical Evaluation of Hadolint Writing Practices by Experts. MSR 2024: 231-241
2023
[j5]
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  - journals/jss/RosaPSTBLO23
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Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto:
A comprehensive evaluation of SZZ Variants through a developer-informed oracle. J. Syst. Softw. 202: 111729 (2023)
[j4]
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Valentina Piantadosi, Giovanni Rosa, Davide Placella, Simone Scalabrino, Rocco Oliveto:
Detecting functional and security-related issues in smart contracts: A systematic literature review. Softw. Pract. Exp. 53(2): 465-495 (2023)
[j3]
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Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
What Quality Aspects Influence the Adoption of Docker Images? ACM Trans. Softw. Eng. Methodol. 32(6): 142:1-142:30 (2023)
[c15]
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Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises. ICSSP 2023: 1-12
[i3]
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  - journals/corr/abs-2303-15990
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Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises. CoRR abs/2303.15990 (2023)
2022
[c14]
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  - conf/biostec/RosaRLCSO22
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Giovanni Rosa, Marco Russodivito, Gennaro Laudato, Angela Rita Colavita, Simone Scalabrino, Rocco Oliveto:
A Robust Approach for a Real-time Accurate Screening of ST Segment Anomalies. HEALTHINF 2022: 69-80
[c13]
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Giovanni Rosa, Marco Russodivito, Gennaro Laudato, Angela Rita Colavita, Luca De Vito, Francesco Picariello, Simone Scalabrino, Ioan Tudosa, Rocco Oliveto:
ST-Segment Anomalies Detection from Compressed Sensing Based ECG Data by Means of Machine Learning. BIOSTEC (Selected Papers) 2022: 237-255
[c12]
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  - conf/biostec/LaudatoRCCFDLPR22
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Gennaro Laudato, Giovanni Rosa, Giovanni Capobianco, Angela Rita Colavita, Arianna Dal Forno, Fabio Divino, Claudio Lupi, Remo Pareschi, Stefano Ricciardi, Luca Romagnoli, Simone Scalabrino, Cecilia Tomassini, Rocco Oliveto:
Simulating the Doctor's Behaviour: A Preliminary Study on the Identification of Atrial Fibrillation through Combined Analysis of Heart Rate and Beat Morphology. HEALTHINF 2022: 446-453
[c11]
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Giovanni Rosa, Simone Scalabrino, Rocco Oliveto:
Assessing and Improving the Quality of Docker Artifacts. ICSME 2022: 592-596
[c10]
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Emanuela Guglielmi, Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Sorry, I don't Understand: Improving Voice User Interface Testing. ASE 2022: 96:1-96:12
[i2]
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  - journals/corr/abs-2208-09097
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Giovanni Rosa, Simone Scalabrino, Rocco Oliveto:
Fixing Dockerfile Smells: An Empirical Study. CoRR abs/2208.09097 (2022)
2021
[j2]
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  - journals/fbloc/RosaP21
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Giovanni Rosa, Remo Pareschi:
Tether: A Study on Bubble-Networks. Frontiers Blockchain 4: 686484 (2021)
[j1]
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  - journals/fbloc/RosaP21a
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Giovanni Rosa, Remo Pareschi:
Corrigendum: Tether: A Study on Bubble-Networks. Frontiers Blockchain 4: 842255 (2021)
[c9]
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  - conf/biostec/RosaLCSO21
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Giovanni Rosa, Gennaro Laudato, Angela Rita Colavita, Simone Scalabrino, Rocco Oliveto:
Automatic Real-time Beat-to-beat Detection of Arrhythmia Conditions. HEALTHINF 2021: 212-222
[c8]
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Giovanni Rosa, Marco Russodivito, Gennaro Laudato, Angela Rita Colavita, Luca De Vito, Francesco Picariello, Simone Scalabrino, Ioan Tudosa, Rocco Oliveto:
Multi-class Detection of Arrhythmia Conditions Through the Combination of Compressed Sensing and Machine Learning. BIOSTEC (Selected Papers) 2021: 213-235
[c7]
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Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto:
Evaluating SZZ Implementations Through a Developer-informed Oracle. ICSE 2021: 436-447
[c6]
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  - conf/medinfo/RosaRLSCO21
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Giovanni Rosa, Marco Russodivito, Gennaro Laudato, Simone Scalabrino, Angela Rita Colavita, Rocco Oliveto:
A Multi-Class Approach for the Automatic Detection of Congestive Heart Failure in Windowed ECG. MedInfo 2021: 650-654
[i1]
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  - journals/corr/abs-2102-03300
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Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto:
Evaluating SZZ Implementations Through a Developer-informed Oracle. CoRR abs/2102.03300 (2021)
2020
[c5]
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  - conf/biostec/LaudatoBCRSTLO20
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Gennaro Laudato, Franco Boldi, Angela Rita Colavita, Giovanni Rosa, Simone Scalabrino, Paolo Torchitti, Aldo Lazich, Rocco Oliveto:
Combining Rhythmic and Morphological ECG Features for Automatic Detection of Atrial Fibrillation. HEALTHINF 2020: 156-165
[c4]
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  - conf/biostec/LaudatoRSSPTVBT20
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Gennaro Laudato, Giovanni Rosa, Simone Scalabrino, Jonathan Simeone, Francesco Picariello, Ioan Tudosa, Luca De Vito, Franco Boldi, Paolo Torchitti, Riccardo Ceccarelli, Fabrizio Picariello, Luca Torricelli, Aldo Lazich, Rocco Oliveto:
MIPHAS: Military Performances and Health Analysis System. HEALTHINF 2020: 198-207
[c3]
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Gennaro Laudato, Franco Boldi, Angela Rita Colavita, Giovanni Rosa, Simone Scalabrino, Aldo Lazich, Rocco Oliveto:
Combining Rhythmic and Morphological ECG Features for Automatic Detection of Atrial Fibrillation: Local and Global Prediction Models. BIOSTEC (Selected Papers) 2020: 425-441
[c2]
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  - conf/scam/HanRKPR20
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DongGyun Han, Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giovanni Rosa:
Does code review really remove coding convention violations? SCAM 2020: 43-53

2010 – 2019

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2019
[c1]
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  - conf/bigdataconf/TommasoGMMPRS19
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Fabio Di Tommaso, Michele Guerra, Fabio Martinelli, Francesco Mercaldo, Massimo Piedimonte, Giovanni Rosa, Antonella Santone:
User Authentication through Keystroke Dynamics by means of Model Checking: A Proposal. IEEE BigData 2019: 6232-6234

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