Results 251 to 260 of about 113,519 (298)

Multi-Modal Anomaly Detection in Review Texts with Sensor-Derived Metadata Using Instruction-Tuned Transformers. [PDF]

Sensors (Basel)
Alhawiti KM.
europepmc   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source

Meta-representations as representations of processes. [PDF]

Neurosci Conscious
Kanai R, Takatsuki R, Fujisawa I.
europepmc   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

Deviation‐Guided Attention for Semi‐Supervised Anomaly Detection With Contrastive Regularisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Anomaly detection (AD) aims to identify abnormal patterns that deviate from normal behaviour, playing a critical role in applications such as industrial inspection, medical imaging and autonomous driving. However, AD often faces a scarcity of labelled data. To address this challenge, we propose a novel semi‐supervised anomaly detection method,
Guanglei Xie, Xiaochang Hu, Yi Sun, Wenzhuo Zhang, Yafeng Bu, Hao Fu, Xin Xu   +6 more
wiley   +1 more source

GAME-Net: an ensemble deep learning framework integrating Generative Autoencoders and attention mechanisms for automated brain tumor segmentation in MRI. [PDF]

Front Comput Neurosci
Haq IU, Iqbal A, Anas M, Masood F, Alzahrani AS, Al-Naeem M.   +5 more
europepmc   +1 more source

Lightweight Hybrid Wafer Defect Pattern Network Based on Feedforward Efficient Attention

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the increase of semiconductor integration density, in order to cope with the increase of wafer defect complexity and types, especially the low recognition accuracy of overlapping mixed defects and unknown wafer defects, this study proposes a lightweight model for wafer defect detection called LightWMNet.
Zhiqiang Hu, Yiquan Wu
wiley   +1 more source

AVCLNet: Multimodal Multispeaker Tracking Network Using Audio‐Visual Contrastive Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Audio‐visual speaker tracking aims to determine the locations of multiple speakers in the scene by leveraging signals captured from multisensor platforms. Multimodal fusion methods can improve both the accuracy and robustness of speaker tracking.
Yihan Li, Yidi Li, Zhenhuan Xu, Hao Guo, Mengyuan Liu, Weiwei Wan   +5 more
wiley   +1 more source

Multimedia data-driven customer churn prediction using an enhanced extreme learning machine. [PDF]

Sci Rep
Liu YW, Wang J, Liu C.
europepmc   +1 more source

Multi-view text classification through integrated RNN autoencoder learning of word, sentence, emotion and paragraph representations. [PDF]

Sci Rep
Ding Y, Shalaby M, Singh NSS, Alfilh RHC.   +3 more
europepmc   +1 more source