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09/16/2023
Total-effect Test May Erroneously Reject So-called "Full" or "Complete" Mediation
The procedure for establishing mediation, i.e., determining that an inde...
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08/04/2023
Intensity-free Integral-based Learning of Marked Temporal Point Processes
In the marked temporal point processes (MTPP), a core problem is to para...
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03/14/2023
Bayesian Criterion for Re-randomization
Re-randomization has gained popularity as a tool for experiment-based ca...
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07/18/2022
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios
Representation learning in recent years has been addressed with self-sup...
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12/20/2021
CSSR: A Context-Aware Sequential Software Service Recommendation Model
We propose a novel software service recommendation model to help users f...
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10/22/2021
MANDERA: Malicious Node Detection in Federated Learning via Ranking
Federated learning is a distributed learning paradigm which seeks to pre...
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08/22/2021
ExamGAN and Twin-ExamGAN for Exam Script Generation
Nowadays, the learning management system (LMS) has been widely used in d...
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05/17/2021
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity
Traffic scenario categorisation is an essential component of automated d...
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05/17/2021
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios
An understanding and classification of driving scenarios are important f...
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04/15/2021
Partition-Mallows Model and Its Inference for Rank Aggregation
Learning how to aggregate ranking lists has been an active research area...
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09/18/2020
A Knowledge Graph based Approach for Mobile Application Recommendation
With the rapid prevalence of mobile devices and the dramatic proliferati...
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07/20/2020
Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization
Hyperparameters play a critical role in the performances of many machine...
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04/04/2020
Stratification and Optimal Resampling for Sequential Monte Carlo
Sequential Monte Carlo (SMC), also known as particle filters, has been w...
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10/19/2019
An Improved Historical Embedding without Alignment
Many words have evolved in meaning as a result of cultural and social ch...
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10/01/2019
NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques
Quantization has emerged to be an effective way to significantly boost t...
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04/06/2017