Roberto Pasolini
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View article: LOS/NLOS Wireless Channel Identification based on Data Mining of UWB Signals
LOS/NLOS Wireless Channel Identification based on Data Mining of UWB Signals Open
Localisation algorithms based on the estimation of the time-of-arrival of the received signal are particularly interesting when ultra-wide band (UWB) signaling is adopted for high-definition location aware applications. In this context non…
View article: Cross-domain & In-domain Sentiment Analysis with Memory-based Deep Neural Networks
Cross-domain & In-domain Sentiment Analysis with Memory-based Deep Neural Networks Open
Cross-domain sentiment classifiers aim to predict the polarity, namely the sentiment orientation of target text documents, by reusing a knowledge model learned from a different source domain. Distinct domains are typically heterogeneous in…
View article: On Deep Learning in Cross-Domain Sentiment Classification
On Deep Learning in Cross-Domain Sentiment Classification Open
Cross-domain sentiment classification consists in distinguishing positive and negative reviews of a target domain by using knowledge extracted and transferred from a heterogeneous source domain. Cross-domain solutions aim at overcoming the…
View article: Personalized Web Search via Query Expansion based on User’s Local Hierarchically-Organized Files
Personalized Web Search via Query Expansion based on User’s Local Hierarchically-Organized Files Open
Users of Web search engines generally express information needs with short and ambiguous queries, leading to irrelevant results. Personalized search methods improve users’ experience by automatically reformulating queries before sending th…
View article: Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets
Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets Open
Stock market analysis is a primary interest for finance and such a challenging task that has always attracted many researchers. Historically, this task was accomplished by means of trend analysis, but in the last years text mining is emerg…
View article: Job Recommendation from Semantic Similarity of LinkedIn Users’ Skills
Job Recommendation from Semantic Similarity of LinkedIn Users’ Skills Open
Until recently job seeking has been a tricky, tedious and time consuming process, because people looking for a new position had to collect information from many different sources. Job recommendation systems have been proposed in order to a…