DI SIPIO, CLAUDIO
DI SIPIO, CLAUDIO
Dipartimento di Ingegneria e scienze dell'informazione e matematica
Fitting missing API puzzles with machine translation techniques
2023-01-01 Nguyen, Phuong; Di Sipio, C.; Di Rocco, J.; Di Ruscio, D.; Di Penta, M.
MORGAN: a modeling recommender system based on graph kernel
2023-01-01 Di Sipio, C; Di Rocco, J; Di Ruscio, D; Nguyen, Phuong
DeepLib: Machine translation techniques to recommend upgrades for third-party libraries
2022-01-01 Nguyen, Phuong Thanh; Di Rocco, Juri; Rubei, Riccardo; Di Sipio, Claudio; Di Ruscio, Davide
HybridRec: A recommender system for tagging GitHub repositories
2022-01-01 DI ROCCO, Juri; DI RUSCIO, Davide; DI SIPIO, Claudio; Nguyen, THANH PHUONG; Rubei, Riccardo
Finding with NEMO: a recommender system to forecast the next modeling operations
2022-01-01 Di Rocco, Juri; Di Sipio, Claudio; Nguyen, Phuong Thanh; Di Ruscio, Davide; Pierantonio, Alfonso
MemoRec: a recommender system for assisting modelers in specifying metamodels
2022-01-01 Di Rocco, Juri; Di Ruscio, Davide; Di Sipio, Claudio; Nguyen, Phuong Thanh; Pierantonio, Alfonso
Endowing third-party libraries recommender systems with explicit user feedback mechanisms
2022-01-01 Rubei, R; Di Sipio, C; Di Rocco, J.; Di Ruscio, D.; Nguyen, Phuong
Providing upgrade plans for third-party libraries: a recommender system using migration graphs
2022-01-01 Rubei, R.; Di Ruscio, D.; Di Sipio, C.; Di Rocco, J.; Nguyen, THANH PHUONG
Recommending third-party library updates with LSTM neural networks
2021-01-01 Nguyen, Phuong; Di Rocco, J.; Rubei, R.; Di Sipio, C.; Di Ruscio, D.
A Low-Code tool supporting the development of recommender systems
2021-01-01 Di Sipio, C.; Di Rocco, J.; Di Ruscio, D.; Nguyen, Phuong
On the need for a body of knowledge on recommender systems
2021-01-01 Di Rocco, J.; Di Ruscio, D.; Di Sipio, C.; Nguyen, Phuong; Pomo, C.
Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffeeƒ
2021-01-01 Nguyen, Phuong; Di Sipio, C.; Di Rocco, J.; Di Penta, M.; Di Ruscio, D.
Adversarial machine learning: On the resilience of third-party library recommender systems
2021-01-01 Nguyen, Phuong; Di Ruscio, D.; Di Rocco, J.; Di Sipio, C.; Di Penta, Massimiliano
Recommending API Function Calls and Code Snippets to Support Software Development
2021-01-01 Nguyen, Phuong; Di Rocco, Juri; Di Sipio, Claudio; Di Ruscio, Davide; Di Penta, Massimiliano
Development of recommendation systems for software engineering: the CROSSMINER experience
2021-01-01 Di Rocco, J.; Di Ruscio, D.; Di Sipio, C.; Nguyen, Phuong; Rubei, R.
A GNN-based Recommender System to Assist the Specification of Metamodels and Models
2021-01-01 Di Rocco, J.; Di Sipio, C.; Di Ruscio, D.; Nguyen, Phuong
A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories
2020-01-01 Di Sipio, C.; Rubei, R.; Di Ruscio, D.; Nguyen, THANH PHUONG
Automated fruit recognition using EfficientNet and MixNet
2020-01-01 Duong, L. T.; Nguyen, THANH PHUONG; Di Sipio, C.; Di Ruscio, D.
Democratizing the development of recommender systems by means of low-code platforms
2020-01-01 Di Sipio, C.; Di Ruscio, D.; Nguyen, THANH PHUONG
TopFilter: An approach to recommend relevant GitHub topics
2020-01-01 DI ROCCO, Juri; DI RUSCIO, Davide; DI SIPIO, Claudio; Nguyen, THANH PHUONG; Rubei, Riccardo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Fitting missing API puzzles with machine translation techniques | 1-gen-2023 | Nguyen, Phuong; Di Sipio, C.; Di Rocco, J.; Di Ruscio, D.; Di Penta, M. | |
| MORGAN: a modeling recommender system based on graph kernel | 1-gen-2023 | Di Sipio, C; Di Rocco, J; Di Ruscio, D; Nguyen, Phuong | |
| DeepLib: Machine translation techniques to recommend upgrades for third-party libraries | 1-gen-2022 | Nguyen, Phuong Thanh; Di Rocco, Juri; Rubei, Riccardo; Di Sipio, Claudio; Di Ruscio, Davide | |
| HybridRec: A recommender system for tagging GitHub repositories | 1-gen-2022 | DI ROCCO, Juri; DI RUSCIO, Davide; DI SIPIO, Claudio; Nguyen, THANH PHUONG; Rubei, Riccardo | |
| Finding with NEMO: a recommender system to forecast the next modeling operations | 1-gen-2022 | Di Rocco, Juri; Di Sipio, Claudio; Nguyen, Phuong Thanh; Di Ruscio, Davide; Pierantonio, Alfonso | |
| MemoRec: a recommender system for assisting modelers in specifying metamodels | 1-gen-2022 | Di Rocco, Juri; Di Ruscio, Davide; Di Sipio, Claudio; Nguyen, Phuong Thanh; Pierantonio, Alfonso | |
| Endowing third-party libraries recommender systems with explicit user feedback mechanisms | 1-gen-2022 | Rubei, R; Di Sipio, C; Di Rocco, J.; Di Ruscio, D.; Nguyen, Phuong | |
| Providing upgrade plans for third-party libraries: a recommender system using migration graphs | 1-gen-2022 | Rubei, R.; Di Ruscio, D.; Di Sipio, C.; Di Rocco, J.; Nguyen, THANH PHUONG | |
| Recommending third-party library updates with LSTM neural networks | 1-gen-2021 | Nguyen, Phuong; Di Rocco, J.; Rubei, R.; Di Sipio, C.; Di Ruscio, D. | |
| A Low-Code tool supporting the development of recommender systems | 1-gen-2021 | Di Sipio, C.; Di Rocco, J.; Di Ruscio, D.; Nguyen, Phuong | |
| On the need for a body of knowledge on recommender systems | 1-gen-2021 | Di Rocco, J.; Di Ruscio, D.; Di Sipio, C.; Nguyen, Phuong; Pomo, C. | |
| Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffeeƒ | 1-gen-2021 | Nguyen, Phuong; Di Sipio, C.; Di Rocco, J.; Di Penta, M.; Di Ruscio, D. | |
| Adversarial machine learning: On the resilience of third-party library recommender systems | 1-gen-2021 | Nguyen, Phuong; Di Ruscio, D.; Di Rocco, J.; Di Sipio, C.; Di Penta, Massimiliano | |
| Recommending API Function Calls and Code Snippets to Support Software Development | 1-gen-2021 | Nguyen, Phuong; Di Rocco, Juri; Di Sipio, Claudio; Di Ruscio, Davide; Di Penta, Massimiliano | |
| Development of recommendation systems for software engineering: the CROSSMINER experience | 1-gen-2021 | Di Rocco, J.; Di Ruscio, D.; Di Sipio, C.; Nguyen, Phuong; Rubei, R. | |
| A GNN-based Recommender System to Assist the Specification of Metamodels and Models | 1-gen-2021 | Di Rocco, J.; Di Sipio, C.; Di Ruscio, D.; Nguyen, Phuong | |
| A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories | 1-gen-2020 | Di Sipio, C.; Rubei, R.; Di Ruscio, D.; Nguyen, THANH PHUONG | |
| Automated fruit recognition using EfficientNet and MixNet | 1-gen-2020 | Duong, L. T.; Nguyen, THANH PHUONG; Di Sipio, C.; Di Ruscio, D. | |
| Democratizing the development of recommender systems by means of low-code platforms | 1-gen-2020 | Di Sipio, C.; Di Ruscio, D.; Nguyen, THANH PHUONG | |
| TopFilter: An approach to recommend relevant GitHub topics | 1-gen-2020 | DI ROCCO, Juri; DI RUSCIO, Davide; DI SIPIO, Claudio; Nguyen, THANH PHUONG; Rubei, Riccardo |