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pro vyhledávání: '"Rizzoli, P."'
The automatic detection of temporal relations among events has been mainly investigated with encoder-only models such as RoBERTa. Large Language Models (LLM) have recently shown promising performance in temporal reasoning tasks such as temporal quest
Externí odkaz:
http://arxiv.org/abs/2410.10476
Current weakly-supervised incremental learning for semantic segmentation (WILSS) approaches only consider replacing pixel-level annotations with image-level labels, while the training images are still from well-designed datasets. In this work, we arg
Externí odkaz:
http://arxiv.org/abs/2407.13363
Autor:
Alghisi, Simone, Rizzoli, Massimo, Roccabruna, Gabriel, Mousavi, Seyed Mahed, Riccardi, Giuseppe
We study the limitations of Large Language Models (LLMs) for the task of response generation in human-machine dialogue. Several techniques have been proposed in the literature for different dialogue types (e.g., Open-Domain). However, the evaluations
Externí odkaz:
http://arxiv.org/abs/2406.06399
In Federated Learning (FL), multiple clients collaboratively train a global model without sharing private data. In semantic segmentation, the Federated source Free Domain Adaptation (FFreeDA) setting is of particular interest, where clients undergo u
Externí odkaz:
http://arxiv.org/abs/2403.13762
Autor:
Rizzoli, Aluna, Testerman, Donna
Let G be a simple algebraic group defined over an algebraically closed field k of characteristic p>0. Here we classify all irreducible kG-modules for which the principal A1 has no repeated composition factors, extending the work of Liebeck-Seitz-Test
Externí odkaz:
http://arxiv.org/abs/2402.12064
Autor:
Mousavi, Seyed Mahed, Roccabruna, Gabriel, Alghisi, Simone, Rizzoli, Massimo, Ravanelli, Mirco, Riccardi, Giuseppe
Large Pre-Trained Language Models have demonstrated state-of-the-art performance in different downstream tasks, including dialogue state tracking and end-to-end response generation. Nevertheless, most of the publicly available datasets and benchmarks
Externí odkaz:
http://arxiv.org/abs/2401.02297
Autor:
Nanna Møller Jensen, YuHong Fu, Cristine Betzer, Hongyun Li, Sara Elfarrash, Ali H. Shaib, Donatus Krah, Zagorka Vitic, Lasse Reimer, Hjalte Gram, Vladimir Buchman, Mark Denham, Silvio O. Rizzoli, Glenda M. Halliday, Poul Henning Jensen
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-21 (2024)
Abstract α-Synuclein proximity ligation assay (PLA) has proved a sensitive technique for detection of non-Lewy body α-synuclein aggregate pathology. Here, we describe the MJF-14 PLA, a new PLA towards aggregated α-synuclein with unprecedented spec
Externí odkaz:
https://doaj.org/article/c55cdec6dd264aa8b793c43fcfeb0013
Autor:
Liu, Chang, Rizzoli, Giulia, Barbato, Francesco, Maracani, Andrea, Toldo, Marco, Michieli, Umberto, Niu, Yi, Zanuttigh, Pietro
Catastrophic forgetting of previous knowledge is a critical issue in continual learning typically handled through various regularization strategies. However, existing methods struggle especially when several incremental steps are performed. In this p
Externí odkaz:
http://arxiv.org/abs/2309.10479
The development of computer vision algorithms for Unmanned Aerial Vehicles (UAVs) imagery heavily relies on the availability of annotated high-resolution aerial data. However, the scarcity of large-scale real datasets with pixel-level annotations pos
Externí odkaz:
http://arxiv.org/abs/2308.10491
Autor:
Rizzoli, Aluna
We consider faithful actions of simple algebraic groups on self-dual irreducible modules, and on the associated varieties of totally singular subspaces, under the assumption that the dimension of the group is at least as large as the dimension of the
Externí odkaz:
http://arxiv.org/abs/2308.08214