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Uncertainty-informed On-device PersonalisationUsing Early Exit…
https://mobile-systems.cl.cam.ac.uk/papers/eusipco23.pdf22 Jul 2023: The training time was measured using theonboard clock. We perform 10 runs (with the whole test set)and average the results. ... Zimmerman, and P. H. A, Cloud Economics:Principles, Costs, and Benefits. Springer, London, 2010, pp. Results that match 1 of 2 words
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Uncertainty Quantification in Federated Learning for Heterogeneous…
https://mobile-systems.cl.cam.ac.uk/papers/FL-KDD23.pdf14 Jul 2023: 101. 102. 103. Num. ber. of S. ampl. esTrain Test. (b) Client 2. ... 30. 40. Num. ber. of S. ampl. es. Train Test. (a) Client 1. -
Embracing the Imaginary:Deep Complex-valued Networks for Heart Murmur …
https://mobile-systems.cl.cam.ac.uk/papers/cinc23.pdf2 Nov 2023: On the patient-independent test set ofthe PhysioNet 2022 Challenge dataset, a complex-valuedtreatment of two neural network architectures — includ-ing HMS-Net, the winning model of PhysioNet 2022 —leads to ... This discrepancywith the reported -
Proceedings of Machine Learning Research 219:1–26, 2023 Machine…
https://mobile-systems.cl.cam.ac.uk/papers/mlhc23.pdf21 Jul 2023: Alternatively, submaximalVO2max tests (Gonzales et al., 2020b) have been proposed to capture fitness levels. ... b) Right figure shows the predictiondistribution of the BBVS test set from different methods. -
Detecting Foot Strikes during Running with Earbuds
https://mobile-systems.cl.cam.ac.uk/papers/bodysys24-dong.pdf2 May 2024: test, where only one user is iteratively selected for testingwhile the remaining subjects are for training. ... 4.2 Comparison of Features: MFCC vs. FFT. 4.3 Individual Performance. 4.4 Performance of Leave-one-out Test. -
Emotion Recognition from Speech Signals byMel-Spectrogram and a…
https://mobile-systems.cl.cam.ac.uk/papers/EMBC24.pdf2 May 2024: Unlike the RAVDESS dataset, where theemotions are expressed by actors, a variety of mood inductionprocedures are used in the DEMoS dataset followed by aperception test, making it more authentic. -
IMChew: Chewing Analysis using Earphone Inertial Measurement Units
https://mobile-systems.cl.cam.ac.uk/papers/bodysys24-yang.pdf2 May 2024: 5.1 Chewing DetectionTable 2 presents the overall performance of different classi-fiers for chewing detection when evaluated with an 80/20train-test split. ... Nonetheless, oursolution performs well under both evaluation methods. (a) 80/20 Train-test -
UR2M: Uncertainty and Resource-Aware Event Detection on…
https://mobile-systems.cl.cam.ac.uk/papers/percom24.pdf5 Feb 2024: After preprocessing, we obtained 92,502 total. event training samples (90%) and 10,278 test samples (10%). ... quantification method generating multiple test samples by. applying data augmentation techniques through a single model. -
Yawning Detection using Earphone Inertial Measurement Units
https://mobile-systems.cl.cam.ac.uk/papers/smartwear23.pdf4 Oct 2023: learning and ensure fair test-ing. ... A set ofusers making up around 25% of all data was selected, then80% of the data from these users was selected (20% of thetotal data) to be the test set. -
IEEE JOURNAL OF BIOMEDICAL AND HEALTH IN-FORMATICS 1…
https://mobile-systems.cl.cam.ac.uk/papers/JBHI24Xia.pdf8 Apr 2024: The datasets used encompassvarious modalities, and all of them exhibit severe classimbalance, making them ideal test beds for the evaluation. ... FOLDS WITH DIFFERENT SEEDS. #TEST IS THE TESTING SIZE. C IS THE NUMBER OF CLASSES AND D IS THE INPUT DATA -
LifeLearner: Hardware-Aware Meta Continual Learning System for…
https://mobile-systems.cl.cam.ac.uk/papers/sensys23.pdf23 Oct 2023: 10 𝑆𝑟𝑒𝑒𝑎𝑟𝑠𝑎𝑙 = {𝑆𝑟𝑒𝑒𝑎𝑟𝑠𝑎𝑙, 𝐵𝑖𝑡𝑃𝑄𝑐𝑜𝑚𝑝𝑟𝑒𝑠𝑠 (𝑆𝑙𝑎𝑡𝑒𝑛𝑡 )}11 𝑆𝑡𝑒𝑠𝑡 = T 𝑆𝑡𝑟𝑎𝑖𝑛 // Held-out test set12
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