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Twin neural network improved k-nearest neighbor regression
Twin neural network regression is trained to predict the difference between the regression targets of two data points rather than the individual...
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Deep learning framework for automatic detection and classification of sleep apnea severity from polysomnography signals
Sleep apnea (SA) is a sleep-related breathing disorder characterized by breathing pauses during sleep. A person’s sleep schedule is significantly...
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Implicitly adaptive optimal proposal in variational inference for Bayesian learning
Overdispersed black-box variational inference uses importance sampling to decrease the variance of the Monte Carlo gradient in variational inference....
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Reviewing the effectiveness of lexicon-based techniques for sentiment analysis in massive open online courses
Massive open online courses (MOOCs) platforms now play a big part in online learning. These platforms typically solicit course-related feedback from...
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Context discovery for anomaly detection
Contextual anomaly detection aims to identify objects that are anomalous only within specific contexts, while appearing normal otherwise. However,...
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Comparison of thresholds for a convolutional neural network classifying medical images
Our aim is to compare different thresholds for a convolutional neural network (CNN) designed for binary classification of medical images. We consider...
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Learning optimal deep prototypes for video retrieval systems with hybrid SVM-softmax layer
The research focuses on optimizing training time for video retrieval by producing optimized prototypes for a hybrid SVM-softmax regression...
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Kids Learning Optimizer: social evolution and cognitive learning-based optimization algorithm
This paper proposes a novel social cognitive learning-based metaheuristic called kids Learning Optimizer (KLO), inspired by the early social learning...
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Adaptive neuro-fuzzy sliding mode control of the human upper limb during manual wheelchair propulsion: estimation of continuous joint movements using synergy-based extended Kalman filter
Wheelchair upper limb exoskeletons can present a revolutionary approach to aid individuals with neuromuscular disorders in their daily tasks, which...
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SPEI-FL: Serverless Privacy Edge Intelligence-Enabled Federated Learning in Smart Healthcare Systems
Smart healthcare systems promise significant benefits for fast and accurate medical decisions. However, working with personal health data presents...
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Identifying missing data handling methods with text mining
Missing data is an inevitable aspect of every empirical research. Researchers developed several techniques to handle missing data to avoid...
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Evolutionary spiking neural networks: a survey
Spiking neural networks (SNNs) are gaining increasing attention as potential computationally efficient alternatives to traditional artificial neural...
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MELEP: A Novel Predictive Measure of Transferability in Multi-label ECG Diagnosis
In practical electrocardiography (ECG) interpretation, the scarcity of well-annotated data is a common challenge. Transfer learning techniques are...
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Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective
The automatic analysis of histology images is an open research field where machine learning techniques and neural networks, especially deep...
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Cognitive Tracing Data Trails: Auditing Data Provenance in Discriminative Language Models Using Accumulated Discrepancy Score
The burgeoning practice of unauthorized acquisition and utilization of personal textual data (e.g., social media comments and search histories) by...
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MOAAA/D: a decomposition-based novel algorithm and a structural design application
When real-world engineering challenges are examined adequately, it becomes clear that multi-objective need to be optimized. Many engineering problems...
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Conformalized prescriptive machine learning for uncertainty-aware automated decision making: the case of goodwill requests
Due to the inherent presence of uncertainty in machine learning (ML) systems, the usage of ML is until now out of scope for many critical (financial)...
