Zobrazeno 1 - 10
of 98
pro vyhledávání: '"NICOLA TONELLOTTO"'
Publikováno v:
IoT, Vol 3, Iss 3, Pp 381-397 (2022)
Short-term energy-consumption forecasting plays an important role in the planning of energy production, transportation and distribution. With the widespread adoption of decentralised self-generating energy systems in residential communities, short-te
Externí odkaz:
https://doaj.org/article/b4c3949ac6e84caea6973872ebfc70f6
Publikováno v:
ACM Transactions on the Web. 17:1-39
Pseudo-relevance feedback mechanisms, from Rocchio to the relevance models, have shown the usefulness of expanding and reweighting the users’ initial queries using information occurring in an initial set of retrieved documents, known as the pseudo-
Federated Learning (FL) is a distributed optimization method in which multiple client nodes collaborate to train a machine learning model without sharing data with a central server. However, communication between numerous clients and the central aggr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2349bea064d68532f216f1b3b026cd61
https://zenodo.org/record/7126873
https://zenodo.org/record/7126873
Neural information retrieval architectures based on transformers such as BERT are able to significantly improve system effectiveness over traditional sparse models such as BM25. Though highly effective, these neural approaches are very expensive to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab940b8561b5e2aba5f7ad9a36e8c6bc
http://arxiv.org/abs/2204.11314
http://arxiv.org/abs/2204.11314
Publikováno v:
ECIR 2022-44th European Conference on IR Research, pp. 184–198, Stavanger, Norway, 10-14/04/2022
Lecture Notes in Computer Science ISBN: 9783030997359
Lecture Notes in Computer Science ISBN: 9783030997359
The rapid growth in the number and complexity of conversational agents has highlighted the need for suitable evaluation tools to describe their performance. The main evaluation paradigms move from analyzing conversations where the user explores infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e54cc3ec169eabe85f9dac78fd6e018e
http://hdl.handle.net/11577/3443461
http://hdl.handle.net/11577/3443461
Publikováno v:
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
PerCom Workshops-2022 IEEE International Conference on Pervasive Computing and Communications, pp. 140–141, Pisa, Italy, 21-25 March 2022
PerCom Workshops-2022 IEEE International Conference on Pervasive Computing and Communications, pp. 140–141, Pisa, Italy, 21-25 March 2022
In the past few years, cross-modal distillation has garnered a lot of interest due to the rapid growth of multi- modal data. In this paper, we study stress recognition of the drivers corresponding to the driving situation. Our method enables us to re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79a94db9cbf7a29aa340e1d6b8a8acd5
Autor:
Nicola Tonellotto, Craig Macdonald
Publikováno v:
CIKM
Recent advances in dense retrieval techniques have offered the promise of being able not just to re-rank documents using contextualised language models such as BERT, but also to use such models to identify documents from the collection in the first p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e70959f6ca5515f4ea2bf171ae119a4a
https://eprints.gla.ac.uk/249267/2/249267.pdf
https://eprints.gla.ac.uk/249267/2/249267.pdf
Publikováno v:
CIKM
The task of adhoc search is undergoing a renaissance, sparked by advances in natural language processing. In particular, pre-trained contextualized language models (such as BERT and T5) have consistently shown to be a highly-effective foundation upon
Publikováno v:
SIGIR
Neural information retrieval systems typically use a cascading pipeline, in which a first-stage model retrieves a candidate set of documents and one or more subsequent stages re-rank this set using contextualized language models such as BERT. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc62cdb531fca3c389ed8a4f537f6f1a
http://arxiv.org/abs/2104.12016
http://arxiv.org/abs/2104.12016