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666 Result(s)
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Chapter and Conference Paper
Text Classification Based on Multilingual Back-Translation and Model Ensemble
Pretraining-and-finetuning have demonstrated excellent performance in the field of text classification. However, for downstream tasks, having an ample amount of training data remains crucial. When manually ann...
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Chapter and Conference Paper
A Lightweight Fault Diagnosis Model of Rolling Bearing Based on Gramian Angular Field and EfficientNet-B0
The deep learning model can fully extract the rich information in the signal and provide a better recognition effect as compared to traditional fault diagnosis approaches, which rely on manual analysis. Howeve...
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Chapter and Conference Paper
A Phrase-Level Attention Enhanced CRF for Keyphrase Extraction
Since sequence labeling-based methods take into account the dependencies between neighbouring labels, they have been widely used for keyphrase prediction. Existing methods mainly focus on the word-level sequen...
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Chapter and Conference Paper
MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification
Video super-resolution is a pivotal task that involves the recovery of high-resolution video frames from their low-resolution counterparts, possessing a multitude of applications in real-world scenarios. Withi...
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Chapter and Conference Paper
Understanding Spatial Dependency Among Spatial Interactions
Spatial dependency exhibits special regularities in spatial interactions. Measuring spatial dependency among spatial interactions can help discover interesting interaction patterns and clusters. Although some ...
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Chapter and Conference Paper
A Coarse and Fine Grained Masking Approach for Video-Grounded Dialogue
The task of Video-Grounded Dialogue involves develo** a multimodal chatbot capable of answering sequential questions from humans regarding video content, audio, captions and dialog history. Although existing...
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Chapter and Conference Paper
Time Series Prediction Models for Assisting the Diagnosis and Treatment of Gouty Arthritis
Clinical gout arthritis data tracks changes as essential indicators and reflects the recurrence status of patients within several weeks after patients’ medication. Although the data may contain rich patient in...
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Chapter and Conference Paper
A Simple but Useful Multi-corpus Transferring Method for Biomedical Named Entity Recognition
In the biomedical field, understanding biomedical texts requires domain-specific knowledge, and the annotation of biomedical texts often requires a lot of human involvement, which makes annotation costly and t...
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Chapter and Conference Paper
High Capacity Reversible Data Hiding in Encrypted Images Based on Pixel Value Preprocessing and Block Classification
Reversible data hiding in encrypted images (RDHEI) can simultaneously achieve secure transmission of images and secret storage of embedded additional data, which can be used for cloud storage and privacy prote...
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Chapter and Conference Paper
A Robust Reversible Data Hiding Algorithm Based on Polar Harmonic Fourier Moments
The Robust Reversible Data Hiding (RRDH) algorithm can recover both the secret data and the cover image entirely from an intact stego image, and can still restore the secret message comprehensively even if the...
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Chapter and Conference Paper
FDP-LDA: Inherent Privacy Amplification of Collapsed Gibbs Sampling via Group Subsampling
Latent Dirichlet allocation (LDA) is a widely used fundamental tool for text analysis. Collapsed Gibbs sampling (CGS), as a widely adopted algorithm for learning the parameters of LDA, has the risk of privacy ...
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Chapter and Conference Paper
DHP: A Joint Video Download and Dynamic Bitrate Adaptation Algorithm for Short Video Streaming
With the development of multimedia technology and the upgrading of mobile terminal equipment, short video platforms and applications are becoming more and more popular. Compared with traditional long video, sh...
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Chapter and Conference Paper
NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering
Negation is a fundamental grammatical construct that plays a crucial role in understanding QA tasks. It has been revealed that models trained with SQuAD1 still produce original responses when presented with ne...
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Chapter and Conference Paper
TDCT: Transport Destination Calibration Based on Waybill Trajectories of Trucks
Accurate transport destination is significant for improving efficiency in bulk logistics. But actually, the address information and the coordinate of latitude and longitude of transport destination are often i...
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Chapter and Conference Paper
Domain Robust Pipeline for Medical Causal Entity and Relation Extraction Task
Medical entity and relation extraction is an essential task for medical knowledge graph, which can provide explanatory answers for medical search engine. Recently, PL-Marker, a deep learning based pipeline, ha...
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Chapter and Conference Paper
Optimally Blending Honeypots into Production Networks: Hardness and Algorithms
Honeypot is an important cyber defense technique that can expose attackers’ new attacks (e.g., zero-day exploits). However, the effectiveness of honeypots has not been systematically investigated, beyond the r...
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Chapter and Conference Paper
Self-supervised Multi-object Tracking with Cycle-Consistency
Multi-object tracking is a challenging video task that requires both locating the objects in the frames and associating the objects among the frames, which usually utilizes the tracking-by-detection paradigm. ...
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Chapter and Conference Paper
A Deep Reinforcement Learning-Based Approach for Android GUI Testing
The mobile application market is booming, and Android applications occupy a vast market share. However, the applications may contain many errors. The task in the testing phase is to find these errors as soon a...
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Chapter and Conference Paper
Discovering Combination Patterns of Traditional Chinese Medicine for the Treatment of Gouty Arthritis with Renal Dysfunction
Traditional Chinese Medicine (TCM) can effectively suppress inflammation, reduce serum uric acid levels and improve renal function. However, there is a major challenge to explore effective drug combinations du...
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Chapter and Conference Paper
Redactable Blockchain in the Permissioned Setting
As a momentous attribute of blockchains, the immutability ensures the integrity and credibility of historical data, but it is inevitably abused to spread illegal content and does not meet certain requirements ...