Results 31 to 40 of about 10,630,553 (293)
Incremental Learning for Malware Classification in Small Datasets [PDF]
Security and Communication Networks, 2020 Information security is an important research area. As a very special yet important case, malware classification plays an important role in information security. In the real world, the malware datasets are open-ended and dynamic, and new malware samples belonging to old classes and new classes are increasing continuously.
Jingmei Li +3 more
openaire +2 more sources
Transfer Learning on Small Datasets for Improved Fall Detection
Sensors, 2023 Falls in the elderly are associated with significant morbidity and mortality. While numerous fall detection devices incorporating AI and machine learning algorithms have been developed, no known smartwatch-based system has been used successfully in real ...
Nader Maray +4 more
doaj +1 more source
PaSTeL: Parallel Runtime and Algorithms for Small Datasets [PDF]
2009 International Conference on Complex, Intelligent and Software Intensive Systems, 2009 In this document, we put forward PaSTeL, an engine dedicated to parallel algorithms. PaSTeL offers both a programming model, to build parallel algorithms and an execution model based on work-stealing. Special care has been taken on using optimized thread activation and synchronization mechanisms. In order to illustrate the use of PaSTeL a subset of the
Videau, Brice +2 more
openaire +2 more sources
Algorithms, 2019 Deep neural networks are successful learning tools for building nonlinear models. However, a robust deep learning-based classification model needs a large dataset. Indeed, these models are often unstable when they use small datasets. To solve this issue,
Mohammad Wedyan +2 more
doaj +1 more source
Applied Sciences, 2020 Deep learning is applied in various manufacturing domains. To train a deep learning network, we must collect a sufficient amount of training data.
Eun Kyeong Kim +3 more
doaj +1 more source
A repeat sales index robust to small datasets [PDF]
Journal of Property Investment & Finance, 2011 PurposeThis paper aims to test the robustness of the trend and volatility estimations for two indices: the classical Weighted Repeat Sales and a PCA factorial index. The estimations are computed from a dataset of Paris commercial properties.Design/methodology/approachFirst, two methodologies are presented, and then the dataset.
Michel Baroni +2 more
openaire +3 more sources
IEEE Access, 2023 Stroke is a medical emergency resulting from disruption of blood supply to different parts of the brain which leads to facial weakness and paralysis as the brain is the control center.
Phongphan Phienphanich +5 more
doaj +1 more source
, 2023 Summary table representing changes (in gray) compared to baseline for the entire dataset (N = 2830), large dataset (N = 187), and small dataset (N = 20) as if a testing disparity was present for sex.
Dustin W. Davis (11552855) +2 more
core +1 more source
Bootstrapping statistical parsers from small datasets [PDF]
Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - EACL '03, 2003 We present a practical co-training method for bootstrapping statistical parsers using a small amount of manually parsed training material and a much larger pool of raw sentences. Experimental results show that unlabelled sentences can be used to improve the performance of statistical parsers.
Steedman, Mark +8 more
openaire +3 more sources
Scene Classification for Sports Video Summarization Using Transfer Learning
Sensors, 2020 This paper proposes a novel method for sports video scene classification with the particular intention of video summarization. Creating and publishing a shorter version of the video is more interesting than a full version due to instant entertainment ...
Muhammad Rafiq +4 more
doaj +1 more source