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2 Nov 2023: URLhttps://doi.org/10.5281/zenodo.7303587. [14] Sarroff AM. Complex neural networks for audio. Ph.D.thesis, Dartmouth College, Hanover, New Hampshire, May2018.

19 May 2023: AL interactively queries the oracle to label new –previouslyunlabelled– signals at each training pass [3], making it idealfor clinical tasks where labelled samples are scarce. ... The samples inthe newly-labelled batch then enter the labelled pool.

22 Jul 2023: V. CONCLUSIONThis paper puts forward a new method for on-device neural.

24 Mar 2023: This opens a new way forprivacy-preserving diagnostic model development. Most existing diagnostic FL frameworks consider cooperationamong hospitals or health institutions with each participant contain-ing clinical data from multiple individuals

4 Oct 2023: here were used, the class imbalance between training anddeployment would hinder the generalisability onto new data;in such a case, the dataset should be only be balanced as faras the proportion ... Associationfor Computing Machinery, New York, NY, USA,

14 Jul 2023: ACM,New York, NY, USA, 10 pages. 1 INTRODUCTIONWith the proliferation of clinical data and devices, deep learning isbeing increasingly applied in the medical field, proving its effective-ness in various ... PMLR,1273–1282. [20] Attila Reiss and Didier

1 Jun 2023: New journal of physics, 9(6):179,2007. [Onoszko et al., 2021] Noa Onoszko, Gustav Karlsson, OlofMogren, and Edvin Listo Zec.

23 Oct 2023: 55] relying on a few samplesof new classes to adapt and learn have been proposed. ... The classifier is updatedin the inner loop (fast weights) to learn new classes swiftly.

1 Jun 2023: CNDPs pave new pathways for time series forecasting, and provideconsiderable advantages for disease progression monitoring. ... Moreover, using such a stochastic process can quicklyadapt to new data points [27].

21 Jul 2023: DA is one of the state-of-the-art solutions (Hoffmanet al., 2017) for learning information from an abundant labeled source domain and applyingit to a new and unseen target domain ... Developing new vo2max predictionmodels from maximal, submaximal and