Elenco Pubblicazioni - Publications (1524)
Vadicamo, L., Carrara, F., Cimino, A., Cresci, S., Dell'Orletta, F., Falchi, F., Tesconi, M.: “Cross-Media Learning for Image Sentiment Analysis in the Wild”. In Proceedings of the International Conference on Computer Vision (ICCV) Workshops,Oct 2017
Written by LUCIA VADICAMO
Much progress has been made in the field of sentiment analysis in the past years. Researchers relied on textual data for this task, while only recently they have started in- vestigating approaches to predict sentiments…
Connor, R., Vadicamo, L., Rabitti, F.: “High-Dimensional Simplexes for Supermetric Search”. In Proceedings of SISAP 2017, Springer International Publishing (Lecture Notes in Computing Science),pp. 96-109, October 2017
Written by LUCIA VADICAMO
In a metric space, triangle inequality implies that, for any three objects, a triangle with edge lengths corresponding to their pairwise distances canbe formed. The n-point property is a generalisation of this where, for any …
Amato, G., Mannocci, A., Vadicamo L., and, Zoppi, F.: “Coping with interoperability in cultural her-itage data infrastructures: the Europeana network of Ancient Greek and Latin Epigraphy”, In Proceedings of AIUCD 2017, January 2017
Written by LUCIA VADICAMO
The Cultural Heritage (CH) community is one of the most active in the realisation of Aggregative Data Infrastructures (ADIs). ADIs provide tools to integrate data sources to form uniform and richer information spaces. The realisation…
Barsocchi P., Basile D., Candela L., Ciancia V., Delle Piane M., Esuli A., Ferrari A., Girardi M., Gui-dotti R., Lonetti F., Moroni D., Nardini F. M., Rinzivillo S., Vadicamo L. ISTI Young Research Award 2017. Technical report, 2017.
Written by LUCIA VADICAMO
The ISTI Young Researcher Award is an award for young people of Institute of Information Science and Technologies (ISTI) with high scientific production. In particular, the award is granted to young staff members (less than…
M. Sfrecola, A. Corucci, A. Monorchio, "LTE signal propagation in a maritime environment: validation of a hybrid MoM-ray tracing prediction method", IEEE Antennas and Propagations Society, San Diego, USA, Jul 2017
Written by MARCO SFRECOLA
The present work shows how we were able to deploy a hybrid Method of Moments (MoM) – Ray Tracing electromagnetic approach to predict the measured power over a Long Term Evolution (LTE) radio link over…
