Andrea Pagliarani

According to our database1, Andrea Pagliarani authored at least 10 papers between 2015 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2019
Big Data mining and machine learning techniques applied to real world scenarios.
PhD thesis, 2019

2018
Cross-domain & In-domain Sentiment Analysis with Memory-based Deep Neural Networks.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Parallel Primitives for Vendor-Agnostic Implementation of Big Data Mining Algorithms.
Proceedings of the 32nd International Conference on Advanced Information Networking and Applications Workshops, 2018

2017
Transfer Learning in Sentiment Classification with Deep Neural Networks.
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.
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.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

On Deep Learning in Cross-Domain Sentiment Classification.
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.
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.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015

Markov Chain based Method for In-Domain and Cross-Domain Sentiment Classification.
Proceedings of the KDIR 2015, 2015


  Loading...