The proceedings contain 287 papers. The topics discussed include: exploring machinelearning for faster mapping and scheduling of automotive applications on ADAS platforms;application of machinelearning techniques to...
ISBN:
(纸本)9798350374889
The proceedings contain 287 papers. The topics discussed include: exploring machinelearning for faster mapping and scheduling of automotive applications on ADAS platforms;application of machinelearning techniques to drive immunological insights towards malaria prognosis using microarray data;applied machinelearning for surrogate modeling: a spatio-temporal approach;aircraft engine remaining useful life (RUL) prediction using machinelearning;exploring machinelearning engineering for object detection and tracking by unmanned aerial vehicle (UAV);quantum machinelearning for computer vision: a survey;a machinelearning approach for identifying HLA variants associated with symptomatic and asymptomatic COVID-19;injury risk prediction in soccer using machinelearning;combining transfer learning and representation learning to improve predictive analytics on small materials data;and comparative study of machinelearning techniques in prediction of superfund sites.
The proceedings contain 331 papers. The topics discussed include: METFORC: classification with meta-learning and multimodal stratified time series forest;exploring the faithfulness of synthetic data by generative mode...
ISBN:
(纸本)9798350345346
The proceedings contain 331 papers. The topics discussed include: METFORC: classification with meta-learning and multimodal stratified time series forest;exploring the faithfulness of synthetic data by generative models;few-shot image classification for rare ocular disease with an ensemble of pretrained feature extractors and a statistical classifier;SAttisUNet: UNet-like Swin transformer with attentive skip connections for enhanced medical image segmentation;benchmarking communicative reinforcement learning frameworks on multi-robot cooperative tasks;vision transformer-based classification for lung and colon cancer using histopathology images;relevant instance segmentation in American football practice images to aid risky tackle detection;optimizing multi commodity flow problem under uncertainty: a deep reinforcement learning approach;and temporal-based action graph with sequential pattern mining for churn detection: a Playtika case study.
The proceedings contain 268 papers. The topics discussed include: addressing sample efficiency and model-bias in model-based reinforcement learning;reinforcement learning based architectures for dynamic generation of ...
ISBN:
(纸本)9781665462839
The proceedings contain 268 papers. The topics discussed include: addressing sample efficiency and model-bias in model-based reinforcement learning;reinforcement learning based architectures for dynamic generation of smart home services;attention-based partial decoupling of policy and value for generalization in reinforcement learning;an empirical evaluation of multivariate time series classification with input transformation across different dimensions;topological regularization for dense prediction;real-time cattle interaction recognition via triple-stream network;deeper bidirectional neural networks with generalized non-vanishing hidden neurons;recycling material classification using convolutional neural networks;automatic key information extraction from visually rich documents;multi-stream deep residual network for cloud imputation using multi-resolution remote sensing imagery;structural health and intelligent monitoring of wind turbine blades with a motorized telescope;and deep learning based re-identification of wooden euro-pallets.
Preface: international Virtual conference on machinelearningapplications in Applied Sciences and Mathematics (IVCMASM2022), AIP conference Proceedings, Volume
Preface: international Virtual conference on machinelearningapplications in Applied Sciences and Mathematics (IVCMASM2022), AIP conference Proceedings, Volume
The proceedings contain 276 papers. The topics discussed include: messing up 3D virtual environments: transferable adversarial 3D objects;character-level adversarial examples in Arabic;universal adversarial attack on ...
ISBN:
(纸本)9781665443371
The proceedings contain 276 papers. The topics discussed include: messing up 3D virtual environments: transferable adversarial 3D objects;character-level adversarial examples in Arabic;universal adversarial attack on deep learning based prognostics;feature popularity between different web attacks with supervised feature selection rankers;guided-generative network for noise detection in Monte-Carlo rendering;detection of endoscope withdrawal time in colonoscopy videos;contraband materials detection within volumetric 3D computed tomography baggage security screening imagery;disease prediction based on individual’s medical history using CNn;a novel convolutional neural network for pavement crack segmentation;recurrence plot Spacial pyramid pooling network for appliance identification in non-intrusive load monitoring;seed classification using synthetic image datasets generated from low-altitude UAV imagery;damage estimation and localization from sparse aerial imagery;and automated antenna testing using encoder-decoder-based anomaly detection.
The proceedings contain 228 papers. The topics discussed include: what are they reporting? examining student cybersecurity course surveys through the lens of machinelearning;enhancing piano transcription by dilated c...
ISBN:
(纸本)9781728184708
The proceedings contain 228 papers. The topics discussed include: what are they reporting? examining student cybersecurity course surveys through the lens of machinelearning;enhancing piano transcription by dilated convolution;MuSeM: detecting incongruent news headlines using mutual attentive semantic matching;predicting purchase probability of retail items using an ensemble learning approach and historical data;PENet: object detection using points estimation in high definition aerial images;graph neural networks for model recommendation using time series data;machinelearning fairness in justice systems: base rates, false positives, and false negatives;MaskedFusion: mask-based 6d object pose estimation;DeepGamble: towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection;and a new clustering-based technique for the acceleration of deep convolutional networks.
The proceedings contain 304 papers. The topics discussed include: regularization learning for image recognition;through-wall pose imaging in real-time with a many-to-many encoder/decoder paradigm;domain mixture: an ov...
ISBN:
(纸本)9781728145495
The proceedings contain 304 papers. The topics discussed include: regularization learning for image recognition;through-wall pose imaging in real-time with a many-to-many encoder/decoder paradigm;domain mixture: an overlooked scenario in domain adaptation;particle detector simulation using generative adversarial networks with domain related constraints;leveraging semi-supervised learning for fairness using neural networks;a deep structural model for analyzing correlated multivariate time series;recurrent dilated densenets for a time-series segmentation task;state summarization of video streams for spatiotemporal query matching in complex event processing;brown planthopper damage detection using remote sensing and machinelearning;generative feature models and robustness analysis for multimedia content classification;and an industry case of large-scale demand forecasting of hierarchical components.
The proceedings contain 235 papers. The topics discussed include: inner attention based bi-LSTMs with indexing for non-factoid question answering;localized deep norm-CNN structure for face verification;dynamic analysi...
ISBN:
(纸本)9781538668047
The proceedings contain 235 papers. The topics discussed include: inner attention based bi-LSTMs with indexing for non-factoid question answering;localized deep norm-CNN structure for face verification;dynamic analysis of executables to detect and characterize malware;actionable pattern mining - a scalable data distribution method based on information granules;recursive feature elimination by sensitivity testing;reinforcement learning algorithms for uncertain, dynamic, zero-sum games;exploring sentence vector spaces through automatic summarization;trademark design code identification using deep neural networks;a multi-objective rule optimizer with an application to risk management;learning to fingerprint the latent structure in question articulation;and time series prediction of agricultural products price based on time alignment of recurrent neural networks.
The proceedings contain 197 papers. The topics discussed include: anytime exploitation of stragglers in synchronous stochastic gradient descent;an evolutionary learning approach to self-configuring image pipelines in ...
ISBN:
(纸本)9781538614174
The proceedings contain 197 papers. The topics discussed include: anytime exploitation of stragglers in synchronous stochastic gradient descent;an evolutionary learning approach to self-configuring image pipelines in the context of carbon fiber fault detection;learning to coordinate with deep reinforcement learning in doubles pong game;anomaly prediction based on k-means clustering for memory-constrained embedded devices;clustering distributed short time series with dense patterns;attribute assisted interpretation confidence classification using machinelearning;predictive modelling strategies to understand heterogeneous manifestations of asthma in early life;home appliance energy disaggregation using low frequency data and machinelearning classifiers;on the impacts of noise from group-based label collection for visual classification;learning robust video synchronization without annotations;machinelearning in appearance-based robot self-localization;learning antecedent structures for event coreference resolution;automatic generation and recommendation for API mashups;an evolutionary learning approach to self-configuring image pipelines in the context of carbon fiber fault detection;and machinelearning approach to detecting sensor data modification intrusions in WBANs.
Welcome to the eighth edition of the biennial internationalconference on Data Science and machinelearningapplications (CDMA2025). This edition honors the 2030 Saudi Vision by exploring its ambitious goals and trans...
详细信息
暂无评论