SIINO, Marco
SIINO, Marco
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Risultati 1 - 13 di 13 (tempo di esecuzione: 0.032 secondi).
Alarms Early Detection in Dialytic Therapies via Machine Learning Models
2024-06-01 Nicosia, Alessia; Cancilla, Nunzio; Siino, Marco; Passerini, Michele; Sau, Francesca; Tinnirello, Ilenia; Cipollina, Andrea
An SVM Ensamble Approach to Detect Irony and Stereotype Spreaders on Twitter
2022-01-01 Croce D.; Garlisi D.; Siino M.
COURAGE at CheckThat! 2022: Harmful Tweet Detection using Graph Neural Networks and ELECTRA
2022-09-01 Francesco Lomonaco, Gregor Donabauer, Marco Siino
Detection of Hate Speech Spreaders using convolutional neural networks
2021-01-01 Siino M.; Di Nuovo E.; Tinnirello I.; La Cascia M.
Fake News Spreaders Detection: Sometimes Attention Is Not All You Need
2022-09-01 Siino, Marco; Di Nuovo, Elisa; Tinnirello, Ilenia; La Cascia, Marco
Improving Irony and Stereotype Spreaders Detection using Data Augmentation and Convolutional Neural Network
2022-01-01 Mangione S.; Siino M.; Garbo G.
Is text preprocessing still worth the time? A comparative survey on the influence of popular preprocessing methods on Transformers and traditional classifiers
2024-03-01 Siino M.; Tinnirello I.; La Cascia M.
McRock at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Multi-Channel CNN, Hybrid LSTM, DistilBERT and XLNet
2022-01-01 Siino, Marco; La Cascia, Marco; Tinnirello, Ilenia
Profiling Cryptocurrency Influencers with Few-Shot Learning Using Data Augmentation and ELECTRA
2023-01-01 Siino M.; Tesconi M.; Tinnirello I.
T100: A modern classic ensemble to profile irony and stereotype spreaders
2022-09-01 Siino M.; Tinnirello I.; La Cascia M.
Text Enrichment with Japanese Language to Profile Cryptocurrency Influencers
2023-01-01 Lomonaco F.; Siino M.; Tesconi M.
The text classification pipeline: Starting shallow, going deeper
2023-11-20
WhoSNext: Recommending Twitter Users to Follow Using a Spreading Activation Network Based Approach
2020-01-01 Siino M.; La Cascia M.; Tinnirello I.
| Data di pubblicazione | Titolo | Autori | Tipologia | Autore(i) | File |
|---|---|---|---|---|---|
| 1-giu-2024 | Alarms Early Detection in Dialytic Therapies via Machine Learning Models | Nicosia, AlessiaCancilla, NunzioSiino, MarcoTinnirello, IleniaCipollina, Andrea + | 02 - Contributo in volume::2.07 Contributo in atti di convegno pubblicato in volume | Nicosia, Alessia; Cancilla, Nunzio; Siino, Marco; Passerini, Michele; Sau, Francesca; Tinnirello, Ilenia; Cipollina, Andrea | |
| 1-gen-2022 | An SVM Ensamble Approach to Detect Irony and Stereotype Spreaders on Twitter | Croce D.Garlisi D.Siino M. | 02 - Contributo in volume::2.07 Contributo in atti di convegno pubblicato in volume | Croce D.; Garlisi D.; Siino M. | |
| 1-set-2022 | COURAGE at CheckThat! 2022: Harmful Tweet Detection using Graph Neural Networks and ELECTRA | Siino, Marco + | 02 - Contributo in volume::2.07 Contributo in atti di convegno pubblicato in volume | Francesco Lomonaco, Gregor Donabauer, Marco Siino | |
| 1-gen-2021 | Detection of Hate Speech Spreaders using convolutional neural networks | Siino M.Tinnirello I.La Cascia M. + | 02 - Contributo in volume::2.07 Contributo in atti di convegno pubblicato in volume | Siino M.; Di Nuovo E.; Tinnirello I.; La Cascia M. | |
| 1-set-2022 | Fake News Spreaders Detection: Sometimes Attention Is Not All You Need | Siino, MarcoTinnirello, IleniaLa Cascia, Marco + | 01 - Contributo in rivista::1.01 Articolo in rivista | Siino, Marco; Di Nuovo, Elisa; Tinnirello, Ilenia; La Cascia, Marco | |
| 1-gen-2022 | Improving Irony and Stereotype Spreaders Detection using Data Augmentation and Convolutional Neural Network | Mangione S.Siino M.Garbo G. | 02 - Contributo in volume::2.07 Contributo in atti di convegno pubblicato in volume | Mangione S.; Siino M.; Garbo G. | |
| 1-mar-2024 | Is text preprocessing still worth the time? A comparative survey on the influence of popular preprocessing methods on Transformers and traditional classifiers | Siino M.Tinnirello I.La Cascia M. | 01 - Contributo in rivista::1.01 Articolo in rivista | Siino M.; Tinnirello I.; La Cascia M. | |
| 1-gen-2022 | McRock at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Multi-Channel CNN, Hybrid LSTM, DistilBERT and XLNet | Siino, MarcoLa Cascia, MarcoTinnirello, Ilenia | 02 - Contributo in volume::2.07 Contributo in atti di convegno pubblicato in volume | Siino, Marco; La Cascia, Marco; Tinnirello, Ilenia | |
| 1-gen-2023 | Profiling Cryptocurrency Influencers with Few-Shot Learning Using Data Augmentation and ELECTRA | Siino M.Tinnirello I. + | 02 - Contributo in volume::2.07 Contributo in atti di convegno pubblicato in volume | Siino M.; Tesconi M.; Tinnirello I. | |
| 1-set-2022 | T100: A modern classic ensemble to profile irony and stereotype spreaders | Siino M.Tinnirello I.La Cascia M. | 02 - Contributo in volume::2.07 Contributo in atti di convegno pubblicato in volume | Siino M.; Tinnirello I.; La Cascia M. | |
| 1-gen-2023 | Text Enrichment with Japanese Language to Profile Cryptocurrency Influencers | Siino M. + | 02 - Contributo in volume::2.07 Contributo in atti di convegno pubblicato in volume | Lomonaco F.; Siino M.; Tesconi M. | |
| 20-nov-2023 | The text classification pipeline: Starting shallow, going deeper | SIINO, Marco | 04 - Tesi di dottorato::4.2 Tesi di dottorato | - | |
| 1-gen-2020 | WhoSNext: Recommending Twitter Users to Follow Using a Spreading Activation Network Based Approach | Siino M.La Cascia M.Tinnirello I. | 02 - Contributo in volume::2.07 Contributo in atti di convegno pubblicato in volume | Siino M.; La Cascia M.; Tinnirello I. |