Sfoglia per Autore
Mostrati risultati da 1 a 9 di 9
Markov Chain based method for in-domain and cross-domain sentiment classification
2015 Domeniconi, Giacomo; Moro, Gianluca; Pagliarani, Andrea; Pasolini, Roberto
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
On Deep Learning in Cross-Domain Sentiment Classification
2017 Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini
Cross-domain & In-domain Sentiment Analysis with Memory-based Deep Neural Networks
2018 Gianluca Moro, Andrea Pagliarani, Roberto Pasolini, Claudio Sartori
Parallel Primitives for Vendor-Agnostic Implementation of Big Data Mining Algorithms
2018 Cesare Bandirali ; Stefano Lodi ; Gianluca Moro ; Andrea Pagliarani ; Claudio Sartori
Transfer learning in sentiment classification with deep neural networks
2019 Andrea Pagliarani, Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi
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
Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
---|---|---|---|---|---|---|
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 | - |
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 |
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 |
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 |
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 | - |
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 |
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 | - |
Mostrati risultati da 1 a 9 di 9
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