Andrea Pagliarani

According to our database, Andrea Pagliarani authored at least 11 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

From raw data to research-ready: A FHIR-based transformation pipeline in a real-world oncology setting.

Antonella Carbonaro, Luca Giorgetti, Lorenzo Ridolfi, Roberto Pasolini, Andrea Pagliarani, Martina Cavallucci, Alice Andalò, Livia Del Gaudio, Paolo De Angelis, Roberto Vespignani, Nicola Gentili

Comput. Biol. Medicine, 2025

2019

Big Data mining and machine learning techniques applied to real world scenarios.

Andrea Pagliarani

PhD thesis, 2019

2018

Cross-domain & In-domain Sentiment Analysis with Memory-based Deep Neural Networks.

Gianluca Moro, Andrea Pagliarani, Roberto Pasolini, Claudio Sartori

Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Parallel Primitives for Vendor-Agnostic Implementation of Big Data Mining Algorithms.

Cesare Bandirali, Stefano Lodi, Gianluca Moro, Andrea Pagliarani, Claudio Sartori

Proceedings of the 32nd International Conference on Advanced Information Networking and Applications Workshops, 2018

2017

Transfer Learning in Sentiment Classification with Deep Neural Networks.

Andrea Pagliarani, Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi

Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 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

Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets.

Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini

Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

On Deep Learning in Cross-Domain Sentiment Classification.

Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini

Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

2016

Job Recommendation from Semantic Similarity of LinkedIn Users' Skills.

Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Karin Pasini, Roberto Pasolini

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015

Cross-Domain Sentiment Classification via Polarity-Driven State Transitions in a Markov Model.

Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini

Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015

Markov Chain based Method for In-Domain and Cross-Domain Sentiment Classification.

Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini

Proceedings of the KDIR 2015, 2015