Sfoglia per Autore Tomaiuolo, Michele
LLMs in Staging: An Orchestrated LLM Workflow for Structured Augmentation with Fact Scoring
2025-01-01 Trimigno, Giuseppe; Lombardo, Gianfranco; Tomaiuolo, Michele; Cagnoni, Stefano; Poggi, Agostino
Introduzione all'informatica con Python
2024-01-01 Tomaiuolo, Michele; Ferrari, Alberto
What Do Users Think of the Digital Library? Analyzing Community’s Sentiment during Covid-19
2023-01-01 Tammaro, A. M.; Tomaiuolo, M.; Mordonini, M.; Calderini, L.; D'Alessandro, P.
Continual representation learning for node classification in power-law graphs
2022-01-01 Lombardo, G.; Poggi, A.; Tomaiuolo, M.
Building a Sentiment Analysis Model for Libraries: The CSBNO Consortium Approach
2022-01-01 Tammaro, A. M.; Tomaiuolo, M.; Mordonini, M.; Pellegrino, M.; Demicelis, R.
Fine-Grained Agent-Based Modeling to Predict Covid-19 Spreading and Effect of Policies in Large-Scale Scenarios
2022-01-01 Lombardo, Gianfranco; Pellegrino, Mattia; Tomaiuolo, Michele; Cagnoni, Stefano; Mordonini, Monica; Giacobini, Mario; Poggi, Agostino
Mobility in Unsupervised Word Embeddings for Knowledge Extraction—The Scholars’ Trajectories across Research Topics
2022-01-01 Lombardo, G.; Tomaiuolo, M.; Mordonini, M.; Codeluppi, G.; Poggi, A.
Improving sentiment analysis using preprocessing techniques and lexical patterns
2021-01-01 Cagnoni, S.; Ferrari, L.; Fornacciari, P.; Mordonini, M.; Sani, L.; Tomaiuolo, M.
ActoDemic: A Distributed Framework for Fine-Grained Spreading Modeling and Simulation in Large Scale Scenarios
2021-01-01 Pellegrino, Mattia; Lombardo, Gianfranco; Mordonini, Monica; Tomaiuolo, Michele; Cagnoni, Stefano; Poggi, Agostino
Island model in ActoDatA: An actor-based implementation of a classical distributed evolutionary computation paradigm
2021-01-01 Petrosino, G.; Bergenti, F.; Lombardo, G.; Mordonini, M.; Poggi, A.; Tomaiuolo, M.; Cagnoni, S.
Adoption of social media in socio-technical systems: A survey
2021-01-01 Lombardo, G.; Mordonini, M.; Tomaiuolo, M.
A relevance index-based method for improved detection of malicious users in social networks
2020-01-01 Sani, L.; Pecori, R.; Fornacciari, P.; Mordonini, M.; Tomaiuolo, M.; Cagnoni, S.
Voice assistants in hospital triage operations
2020-01-01 Montali, S.; Lombardo, G.; Mordonini, M.; Tomaiuolo, M.
Applicability of artificial intelligence models
2020-01-01 Tomaiuolo, M.
A Survey on Troll Detection
2020-01-01 Tomaiuolo, Michele; Lombardo, Gianfranco; Mordonini, Monica; Cagnoni, Stefano; Poggi, Agostino
Emotion-based analysis of programming languages on Stack Overflow
2020-01-01 Cagnoni, S.; Cozzini, L.; Lombardo, G.; Mordonini, M.; Poggi, A.; Tomaiuolo, M.
Intelligent Collection and Analysis of Citizens’ Reports
2019-01-01 Angiani, G.; Fornacciari, P.; Lombardo, G.; Mordonini, M.; Poggi, A.; Tomaiuolo, M.
Application of Lovheim model for emotion detection in english tweets
2019-01-01 Fornacciari, P.; Cagnoni, S.; Mordonini, M.; Tarollo, L.; Tomaiuolo, M.
Real marks analysis for predicting students’ performance
2019-01-01 Angiani, Giulio; Ferrari, Alberto; Fornacciari, Paolo; Mordonini, Monica; Tomaiuolo, Michele
codOWood - A new method of programming
2019-01-01 Angiani, G.; Ferrari, A.; Prati, A.; Tomaiuolo, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| LLMs in Staging: An Orchestrated LLM Workflow for Structured Augmentation with Fact Scoring | 1-gen-2025 | Trimigno, Giuseppe; Lombardo, Gianfranco; Tomaiuolo, Michele; Cagnoni, Stefano; Poggi, Agostino | |
| Introduzione all'informatica con Python | 1-gen-2024 | Tomaiuolo, Michele; Ferrari, Alberto | |
| What Do Users Think of the Digital Library? Analyzing Community’s Sentiment during Covid-19 | 1-gen-2023 | Tammaro, A. M.; Tomaiuolo, M.; Mordonini, M.; Calderini, L.; D'Alessandro, P. | |
| Continual representation learning for node classification in power-law graphs | 1-gen-2022 | Lombardo, G.; Poggi, A.; Tomaiuolo, M. | |
| Building a Sentiment Analysis Model for Libraries: The CSBNO Consortium Approach | 1-gen-2022 | Tammaro, A. M.; Tomaiuolo, M.; Mordonini, M.; Pellegrino, M.; Demicelis, R. | |
| Fine-Grained Agent-Based Modeling to Predict Covid-19 Spreading and Effect of Policies in Large-Scale Scenarios | 1-gen-2022 | Lombardo, Gianfranco; Pellegrino, Mattia; Tomaiuolo, Michele; Cagnoni, Stefano; Mordonini, Monica; Giacobini, Mario; Poggi, Agostino | |
| Mobility in Unsupervised Word Embeddings for Knowledge Extraction—The Scholars’ Trajectories across Research Topics | 1-gen-2022 | Lombardo, G.; Tomaiuolo, M.; Mordonini, M.; Codeluppi, G.; Poggi, A. | |
| Improving sentiment analysis using preprocessing techniques and lexical patterns | 1-gen-2021 | Cagnoni, S.; Ferrari, L.; Fornacciari, P.; Mordonini, M.; Sani, L.; Tomaiuolo, M. | |
| ActoDemic: A Distributed Framework for Fine-Grained Spreading Modeling and Simulation in Large Scale Scenarios | 1-gen-2021 | Pellegrino, Mattia; Lombardo, Gianfranco; Mordonini, Monica; Tomaiuolo, Michele; Cagnoni, Stefano; Poggi, Agostino | |
| Island model in ActoDatA: An actor-based implementation of a classical distributed evolutionary computation paradigm | 1-gen-2021 | Petrosino, G.; Bergenti, F.; Lombardo, G.; Mordonini, M.; Poggi, A.; Tomaiuolo, M.; Cagnoni, S. | |
| Adoption of social media in socio-technical systems: A survey | 1-gen-2021 | Lombardo, G.; Mordonini, M.; Tomaiuolo, M. | |
| A relevance index-based method for improved detection of malicious users in social networks | 1-gen-2020 | Sani, L.; Pecori, R.; Fornacciari, P.; Mordonini, M.; Tomaiuolo, M.; Cagnoni, S. | |
| Voice assistants in hospital triage operations | 1-gen-2020 | Montali, S.; Lombardo, G.; Mordonini, M.; Tomaiuolo, M. | |
| Applicability of artificial intelligence models | 1-gen-2020 | Tomaiuolo, M. | |
| A Survey on Troll Detection | 1-gen-2020 | Tomaiuolo, Michele; Lombardo, Gianfranco; Mordonini, Monica; Cagnoni, Stefano; Poggi, Agostino | |
| Emotion-based analysis of programming languages on Stack Overflow | 1-gen-2020 | Cagnoni, S.; Cozzini, L.; Lombardo, G.; Mordonini, M.; Poggi, A.; Tomaiuolo, M. | |
| Intelligent Collection and Analysis of Citizens’ Reports | 1-gen-2019 | Angiani, G.; Fornacciari, P.; Lombardo, G.; Mordonini, M.; Poggi, A.; Tomaiuolo, M. | |
| Application of Lovheim model for emotion detection in english tweets | 1-gen-2019 | Fornacciari, P.; Cagnoni, S.; Mordonini, M.; Tarollo, L.; Tomaiuolo, M. | |
| Real marks analysis for predicting students’ performance | 1-gen-2019 | Angiani, Giulio; Ferrari, Alberto; Fornacciari, Paolo; Mordonini, Monica; Tomaiuolo, Michele | |
| codOWood - A new method of programming | 1-gen-2019 | Angiani, G.; Ferrari, A.; Prati, A.; Tomaiuolo, M. |
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