SW—Soil and Water: Monitoring water flow, turbidity and suspended sediment load, from an Apennine Catchment Basin, Italy D Pavanelli, A Pagliarani Biosystems engineering 83 (4), 463-468, 2002 | 87 | 2002 |
Job recommendation from semantic similarity of LinkedIn users’ skills G Domeniconi, G Moro, A Pagliarani, K Pasini, R Pasolini International Conference on Pattern Recognition Applications and Methods 2 …, 2016 | 45 | 2016 |
On deep learning in cross-domain sentiment classification G Domeniconi, G Moro, A Pagliarani, R Pasolini Proceedings of the 9th International Joint Conference on Knowledge Discovery …, 2017 | 37 | 2017 |
Markov chain based method for in-domain and cross-domain sentiment classification G Domeniconi, G Moro, A Pagliarani, R Pasolini 2015 7th International Joint Conference on Knowledge Discovery, Knowledge …, 2015 | 32 | 2015 |
Cross-domain & in-domain sentiment analysis with memory-based deep neural networks G Moro, A Pagliarani, R Pasolini, C Sartori Proceedings of the 10th International Joint Conference on KnowledgeDiscovery …, 2018 | 30 | 2018 |
Learning to predict the stock market dow jones index detecting and mining relevant tweets G Domeniconi, G Moro, A Pagliarani, R Pasolini Proceedings of the 9th International Joint Conference on Knowledge Discovery …, 2017 | 13 | 2017 |
Cross-domain sentiment classification via polarity-driven state transitions in a Markov model G Domeniconi, G Moro, A Pagliarani, R Pasolini Knowledge Discovery, Knowledge Engineering and Knowledge Management: 7th …, 2016 | 11 | 2016 |
Transfer learning in sentiment classification with deep neural networks A Pagliarani, G Moro, R Pasolini, G Domeniconi International Joint Conference on Knowledge Discovery, Knowledge Engineering …, 2017 | 9 | 2017 |
Prediction and trading of dow jones from twitter: a boosting text mining method with relevant tweets identification G Moro, R Pasolini, G Domeniconi, A Pagliarani, A Roli International Joint Conference on Knowledge Discovery, Knowledge Engineering …, 2017 | 8 | 2017 |
Rilevamento idrologico e dei solidi sospesi nelle stazioni sperimentali dei torrenti Sillaro, Lavino, Savena e foce Reno. D Pavanelli, A Pagliarani, A Bigi ARPA RIVISTA, 3-7, 2004 | 3 | 2004 |
Parallel primitives for vendor-agnostic implementation of big data mining algorithms C Bandirali, S Lodi, G Moro, A Pagliarani, C Sartori 2018 32nd International Conference on Advanced Information Networking and …, 2018 | 2 | 2018 |
Big Data mining and machine learning techniques applied to real world scenarios A Pagliarani alma, 2019 | 1 | 2019 |
Monitoraggio idrotorbidimetrico per la stima dell'erosione nel bacino montano del Reno D Pavanelli, A Pagliarani, A Bigi ARPA RIVISTA 6, 3-7, 2004 | 1 | 2004 |
Studio delle portate alla foce del Reno dal 1995 e validazione del modello di calcolo con misure di campo P Mattarelli, D Bottau, A Pagliarani, A Bigi ARPA RIVISTA 6, 28-32, 2004 | 1 | 2004 |
Survey of suspended solids and erosion estimation in a mountain basin. A Pagliarani, D Pavanelli, G Taglioli | | 2001 |
L'Applicabilità dei Contesti nel Web Semantico A Pagliarani | | |
NEW MARKOV CHAIN BASED METHODS FOR SINGLE AND CROSS-DOMAIN SENTIMENT CLASSIFICATION DING GIACOMO, DING ROBERTO, A PAGLIARANI | | |
STUDIO E SPERIMENTAZIONE DI CHARACTER-LEVEL CONVOLUTIONAL NEURAL NETWORKS PER LA SENTIMENT G Moro, A Pagliarani, R Pasolini, L Agatensi | | |
Dal codice ai modelli: analisi di un caso di studio A Pagliarani | | |
New markov chain based methods for single and cross-domain sentiment classification A Pagliarani | | |