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SMILEY—assistive application to support social and emotional skills in SPCD individuals
AbstractAccording to the available studies, mobile applications have provided significant support in improving the diverse skills of special...
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Graph-Enhanced Prompt Learning for Personalized Review Generation
Personalized review generation is significant for e-commerce applications, such as providing explainable recommendation and assisting the composition...
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Agile model-driven re-engineering
In this paper we describe an Agile model-driven engineering (MDE) approach, AMDRE, for the re-engineering of legacy systems. The objective is to...
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Classification of Parkinson’s disease severity using gait stance signals in a spatiotemporal deep learning classifier
AbstractParkinson’s disease (PD) is a degenerative nervous system disorder involving motor disturbances. Motor alterations affect the gait according...
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Algorithms for Matrix Multiplication via Sampling and Opportunistic Matrix Multiplication
As proposed by Karppa and Kaski (in: Proceedings 30th ACM-SIAM Symposium on Discrete Algorithms (SODA), 2019) a novel “broken" or "opportunistic"...
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Channel-Enhanced Contrastive Cross-Domain Sequential Recommendation
Sequential recommendation help users find interesting items by modeling the dynamic user-item interaction sequences. Due to the data sparseness...
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A unified approach for Parkinson’s disease recognition: imbalance mitigation and grid search optimized boosting with LightGBM
The work elucidates the importance of accurate Parkinson’s disease classification within medical diagnostics and introduces a novel framework for...
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Multi-label classification of retinal diseases based on fundus images using Resnet and Transformer
Retinal disorders are a major cause of irreversible vision loss, which can be mitigated through accurate and early diagnosis. Conventionally, fundus...
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Transitioning towards SysML v2 as a variability modeling language
Systems engineers seek ways to reuse system models to accelerate the initial design development process on new complex projects. Despite its promise,...
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Online Unit Profit Knapsack with Predictions
A variant of the online knapsack problem is considered in the setting of predictions. In Unit Profit Knapsack, the items have unit profit, i.e., the...
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Approximate and Randomized Algorithms for Computing a Second Hamiltonian Cycle
In this paper we consider the following problem: Given a Hamiltonian graph G , and a Hamiltonian cycle C of G , can we compute a second Hamiltonian...
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Ensemble learning based anomaly detection for IoT cybersecurity via Bayesian hyperparameters sensitivity analysis
The Internet of Things (IoT) integrates more than billions of intelligent devices over the globe with the capability of communicating with other...
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Multi-modality multi-label ocular abnormalities detection with transformer-based semantic dictionary learning
AbstractBlindness is preventable by early detection of ocular abnormalities. Computer-aided diagnosis for ocular abnormalities is built by analyzing...
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Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases
The use of invasive mechanical ventilation (IMV) is crucial in rescuing patients with respiratory dysfunction. Accurately predicting the demand for...
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Influence of framing coil orientation and its shape on the hemodynamics of a basilar aneurysm model
AbstractAneurysms are bulges of an artery, which require clinical management solutions. Due to the inherent advantages, endovascular coil filling is...
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Machine learning models’ assessment: trust and performance
AbstractThe common black box nature of machine learning models is an obstacle to their application in health care context. Their widespread...
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Evaluation of geosynthetic encased columns in Zambian heterogenous soils
The development of Zambia has brought increased large-scale infrastructure construction that has necessitated the need for improved foundation...
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Layer-selective deep representation to improve esophageal cancer classification
AbstractEven though artificial intelligence and machine learning have demonstrated remarkable performances in medical image computing, their...
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Soft-tissue sound-speed-aware ultrasound-CT registration method for computer-assisted orthopedic surgery
Ultrasound (US) has been introduced to computer-assisted orthopedic surgery for bone registration owing to its advantages of nonionizing radiation,...
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Automatic text classification of prostate cancer malignancy scores in radiology reports using NLP models
AbstractThis paper presents the implementation of two automated text classification systems for prostate cancer findings based on the PI-RADS...
