PAGLIARANI, ANDREA
PAGLIARANI, ANDREA
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Cross-domain & In-domain Sentiment Analysis with Memory-based Deep Neural Networks
2018 Gianluca Moro, Andrea Pagliarani, Roberto Pasolini, Claudio Sartori
Cross-domain sentiment classification via polarity-driven state transitions in a Markov model
2016 Domeniconi, Giacomo; Moro, Gianluca; Pagliarani, Andrea; Pasolini, Roberto
Job recommendation from semantic similarity of LinkedIn users' skills
2016 Domeniconi, Giacomo; Moro, Gianluca; Pagliarani, Andrea; Pasini, Karin; Pasolini, Roberto
Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets
2017 Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini
Markov Chain based method for in-domain and cross-domain sentiment classification
2015 Domeniconi, Giacomo; Moro, Gianluca; Pagliarani, Andrea; Pasolini, Roberto
On Deep Learning in Cross-Domain Sentiment Classification
2017 Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini
Parallel Primitives for Vendor-Agnostic Implementation of Big Data Mining Algorithms
2018 Cesare Bandirali ; Stefano Lodi ; Gianluca Moro ; Andrea Pagliarani ; Claudio Sartori
Prediction and Trading of Dow Jones from Twitter: A Boosting Text Mining Method with Relevant Tweets Identification
In corso di stampa Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi, Andrea Pagliarani, Andrea Roli
Transfer learning in sentiment classification with deep neural networks
2019 Andrea Pagliarani, Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Cross-domain & In-domain Sentiment Analysis with Memory-based Deep Neural Networks |
Gianluca Moro, Andrea Pagliarani, Roberto Pasolini, Claudio Sartori |
2018-01-01 | - | SciTePress | 4.01 Contributo in Atti di convegno | kdir_2018_camera_ready_deep_learning_cross_sentiment_analysis.pdf; KDIR_2018_55-1.pdf |
| Cross-domain sentiment classification via polarity-driven state transitions in a Markov model | Domeniconi, Giacomo; Moro, Gianluca; Pagliarani, Andrea; Pasolini, Roberto | 2016-01-01 | - | Springer Verlag | 2.01 Capitolo / saggio in libro | - |
| Job recommendation from semantic similarity of LinkedIn users' skills | Domeniconi, Giacomo; Moro, Gianluca; Pagliarani, Andrea; Pasini, Karin; Pasolini, Roberto | 2016-01-01 | - | SciTePress | 4.01 Contributo in Atti di convegno | - |
| Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets | Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini | 2017-01-01 | - | SCITEPRESS | 4.01 Contributo in Atti di convegno | KDIR_2017_6.pdf |
| Markov Chain based method for in-domain and cross-domain sentiment classification | Domeniconi, Giacomo; Moro, Gianluca; Pagliarani, Andrea; Pasolini, Roberto | 2015-01-01 | - | SciTePress | 4.01 Contributo in Atti di convegno | - |
| On Deep Learning in Cross-Domain Sentiment Classification | Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini | 2017-01-01 | - | SCITEPRESS | 4.01 Contributo in Atti di convegno | KDIR_2017_5.pdf |
| Parallel Primitives for Vendor-Agnostic Implementation of Big Data Mining Algorithms | Cesare Bandirali ; Stefano Lodi ; Gianluca Moro ; Andrea Pagliarani ; Claudio Sartori | 2018-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | - |
| Prediction and Trading of Dow Jones from Twitter: A Boosting Text Mining Method with Relevant Tweets Identification | Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi, Andrea Pagliarani, Andrea Roli | 9999-01-01 | - | Springer Veriag | 4.01 Contributo in Atti di convegno | - |
| Transfer learning in sentiment classification with deep neural networks | Andrea Pagliarani, Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi | 2019-01-01 | - | Springer Nature Switzerland AG | 4.01 Contributo in Atti di convegno | 480520_1_En_1_Chapter_Author.pdf |