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A Comparative Study Using Generalized Ordered Probit, Stacking Ensemble, and TabNet: Application to Determinants of Pedestrian Crash Severity
In this study, we introduce the adaptive interpretive modeling (AIM) pipeline, utilizing the TabNet model to address some deep learning (DL)...
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Search and Harvesting across NFDI Consortia – Gaps and Challenges
Search and harvesting use cases on harmonised metadata play an important role in several activities on National Research Data Infrastructures (NFDI)....
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Impact of navigation apps on congestion and spread dynamics on a transportation network
In recent years, the widespread adoption of navigation apps by motorists has raised questions about their impact on local traffic patterns. Users...
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A synthetic data generation system based on the variational-autoencoder technique and the linked data paradigm
Currently, the generation of synthetic data has become very fashionable, either due to the need to create data in certain specific contexts or to...
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Twit-CoFiD: a hybrid recommender system based on tweet sentiment analysis
Internet users are overwhelmed by the vast number of services and products to choose from. This data deluge has led to the need for recommender...
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Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics
Fault diagnosis is required to ensure the safe operation of various equipment and enables real-time monitoring of associated components. As a result,...
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Learning from Failure: Towards Develo** a Disease Diagnosis Assistant That Also Learns from Unsuccessful Diagnoses
In recent years, automatic disease diagnosis has gained immense popularity in research and industry communities. Humans learn a task through both...
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DSPformer: discovering semantic parts with token growth and clustering for zero-shot learning
Transformers have achieved success in many computer vision tasks, but their potential in Zero-Shot Learning (ZSL) has yet to be fully explored. In...
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Optimization-based convolutional neural model for the classification of white blood cells
White blood cells (WBCs) are one of the most significant parts of the human immune system, and they play a crucial role in diagnosing the...
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An aviation accidents prediction method based on MTCNN and Bayesian optimization
The safety of the civil aviation system has been of increasing concern with several accidents in recent years. It is urgent to put forward a precise...
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Deep reinforcement learning-based scheduling in distributed systems: a critical review
Many fields of research use parallelized and distributed computing environments, including astronomy, earth science, and bioinformatics. Due to an...
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Injecting the score of the first-stage retriever as text improves BERT-based re-rankers
In this paper we propose a novel approach for combining first-stage lexical retrieval models and Transformer-based re-rankers: we inject the...
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Bearing fault diagnosis using multiple feature selection algorithms with SVM
This paper presents an efficient approach to diagnose defects in various components of bearings in rotating machines using vibration signature...
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Latent side-information dynamic augmentation for incremental recommendation
The incremental recommendation involves updating existing models by extracting information from interaction data at current time-step, with the aim...
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An overview of semantic-based process mining techniques: trends and future directions
Process mining algorithms essentially reflect the execution behavior of events in an event log for conformance checking, model discovery, or...
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Electronic medical records imputation by temporal Generative Adversarial Network
The loss of electronic medical records has seriously affected the practical application of biomedical data. Therefore, it is a meaningful research...
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Cores in multiway networks
The notion of a core is generalized to multiway networks. To determine the multiway cores, we adapted already-known algorithms for determining the...
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Multi-Modal Generative DeepFake Detection via Visual-Language Pretraining with Gate Fusion for Cognitive Computation
With the widespread adoption of deep learning, there has been a notable increase in the prevalence of multimodal deepfake content. These deepfakes...
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A digital pen-based writing state recognition algorithm for student performance assessment
Technology-enhanced learning is an irresistible trend in intelligent education. However, most digital pen-based studies focus on handwriting...
