Markov Chain based Method for In-Domain and Cross-Domain Sentiment Classification. - Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini (KDIR, 2015)

Cross-Domain Sentiment Classification via Polarity-Driven State Transitions in a Markov Model. - Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini (IC3K, 2015)

Job Recommendation from Semantic Similarity of LinkedIn Users' Skills. - Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Karin Pasini; Roberto Pasolini (ICPRAM, 2016)

On Deep Learning in Cross-Domain Sentiment Classification. - Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini (KDIR, 2017)

Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets. - Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini (KDIR, 2017)

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 (IC3K, 2017)

Transfer Learning in Sentiment Classification with Deep Neural Networks. - Andrea Pagliarani; Gianluca Moro; Roberto Pasolini; Giacomo Domeniconi (IC3K, 2017)

Parallel Primitives for Vendor-Agnostic Implementation of Big Data Mining Algorithms. - Cesare Bandirali; Stefano Lodi; Gianluca Moro; Andrea Pagliarani; Claudio Sartori 001 (AINA Workshops, 2018)

Cross-domain & In-domain Sentiment Analysis with Memory-based Deep Neural Networks. - Gianluca Moro; Andrea Pagliarani; Roberto Pasolini; Claudio Sartori 001 (KDIR, 2018)

Big Data mining and machine learning techniques applied to real world scenarios. - Andrea Pagliarani (2019)