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MixingInsights: A Framework for Causal Inference with Confounder Representation Learning from Mixed Structured and Textual Data
MixingInsights: A Framework for Causal Inference with Confounder Representation Learning from Mixed Structured and Textual Data
Estimating causal effects from real-world observational data, which often mixes structured features and unstructured text,...
EmoDLNet: End-to-End Multi-Scale Spatio-Temporal Deep Learning for EEG-Based Emotion Recognition in Affective Human-Computer Interaction
EmoDLNet: End-to-End Multi-Scale Spatio-Temporal Deep Learning for EEG-Based Emotion Recognition in Affective Human-Computer Interaction
Real-time emotion recognition from EEG signals is crucial for enhancing user engagement in human-computer interaction (HCI...
End-to-End Domain Adaptation Network for Cross-Domain Image Retrieval
End-to-End Domain Adaptation Network for Cross-Domain Image Retrieval
With the intense emergence of information technology, image data becomes widely used in multiple applications, such as inf...
Enhancing Facial Beauty Prediction with a Cross-Attention Vision Transformer and Attention-Guided Augmentation
Enhancing Facial Beauty Prediction with a Cross-Attention Vision Transformer and Attention-Guided Augmentation
Facial Beauty Prediction (FBP) is a long-standing and inherently challenging task in computer vision, primarily due to the...
A Dual Encoder Architecture for Robust, Adversarial Aware Sarcasm Detection across Heterogeneous Text Corpora
A Dual Encoder Architecture for Robust, Adversarial Aware Sarcasm Detection across Heterogeneous Text Corpora
Sarcasm detection is challenging in natural language processing due to contextual, emotional, and cultural nuances. This p...
Intelligent IoT-Based Mental Health Prediction Framework for Smart Cities Using Deep Learning: Integrating Facial Emotions and Questionnaire
Intelligent IoT-Based Mental Health Prediction Framework for Smart Cities Using Deep Learning: Integrating Facial Emotions and Questionnaire
This research aims to develop a comprehensive mental health prediction system based on Internet of Things (IoT) and deep l...
Parkinson’s Disease Detection From Electrical Stimulations WiFi Signals Using Information Fusion of Proposed Neural Networks
Parkinson’s Disease Detection From Electrical Stimulations WiFi Signals Using Information Fusion of Proposed Neural Networks
Parkinson’s disease (PD) is a degenerative, chronic neurological condition that impairs a person’s ability to ...
Fast and Accurate Class-Level Machine Unlearning using Impair–Repair and Noise-Induced Forgetting Mechanisms
Fast and Accurate Class-Level Machine Unlearning using Impair–Repair and Noise-Induced Forgetting Mechanisms
Data privacy has become a critical concern in modern machine learning systems, particularly under regulations such as the ...
Enhancing VIKOR for MAGDM with PUIL q-ROFSs: Addressing Ambiguity and Uncertainty in Decision-Making
Enhancing VIKOR for MAGDM with PUIL q-ROFSs: Addressing Ambiguity and Uncertainty in Decision-Making
Effectively evaluating educational curricula requires capturing experts’ nuanced linguistic judgments, which often e...
CEREBRAL: A Neurosymbolic Framework for Multimodal Emotion Recognition with Psychological Constraints and Metacognitive Reasoning
CEREBRAL: A Neurosymbolic Framework for Multimodal Emotion Recognition with Psychological Constraints and Metacognitive Reasoning
Multimodal emotion recognition remains difficult due to cross-modal dependencies, temporal dynamics, and the need for psyc...
AffectSRNet : Facial Emotion-Aware Super-Resolution Network
AffectSRNet : Facial Emotion-Aware Super-Resolution Network
Facial expression recognition (FER) systems in low-resolution settings face significant challenges in accurately identifyi...
Diabetic Retinopathy Detection Algorithm Based on Improved YOLOv8
Diabetic Retinopathy Detection Algorithm Based on Improved YOLOv8
The existing methods of detecting Microaneurysms (MA) and Hemorrhage (HA) are not yet mature, and timely detection of Micr...
A Multilingual Training Strategy for Low-Resource Text-to-Speech
A Multilingual Training Strategy for Low-Resource Text-to-Speech
Recent speech technologies have led to the production of high quality synthesised speech due to recent advances in neural ...
Controlled Attention-Based Prototype Representation Learning for Named Entity Recognition
Controlled Attention-Based Prototype Representation Learning for Named Entity Recognition
Prototype-based named entity recognition (NER) methods typically construct entity representations using characters or span...
Unraveling the Evolution of Public Cognition of COVID-19: A Case Study of Metaphorical Narratives in US Twitter Discussions
Unraveling the Evolution of Public Cognition of COVID-19: A Case Study of Metaphorical Narratives in US Twitter Discussions
The COVID-19 pandemic has led to shifts in public perception over the past four years. Understanding the evolution of publ...
Mathematical Optimization-Driven Approach for Enhanced Sentiment Categorization for Textual Data
Mathematical Optimization-Driven Approach for Enhanced Sentiment Categorization for Textual Data
Computational sentiment analysis aims to automatically infer and quantify human opinions and emotions from text. Despite e...
A Dynamic Vision Sensor Object Recognition Model with Fusion of Multi-spiking Attention Mechanisms
A Dynamic Vision Sensor Object Recognition Model with Fusion of Multi-spiking Attention Mechanisms
Spiking Neural Networks (SNNs) utilize sparse spikes to transmit and process information, offering advantages such as low ...
ByteHD: Efficient Byte-Level Hypervector Compression for Memory-Constrained Embedded Systems
ByteHD: Efficient Byte-Level Hypervector Compression for Memory-Constrained Embedded Systems
Hyperdimensional Computing (HDC) has proven effective in solving a wide range of classification tasks, often outperforming...
Cognitive Bayesian Algorithmic Modeling with Controlled Coherence Variables: Perceptual Attention, Novelty Detection and Top-Down Influence of Predicted Patterns
Cognitive Bayesian Algorithmic Modeling with Controlled Coherence Variables: Perceptual Attention, Novelty Detection and Top-Down Influence of Predicted Patterns
The study of natural cognitive systems suggests complex architectures of knowledge representation and reasoning. In the pr...
A Novel Hyperparameter Optimization Approach for Supervised Classification: Phase Prediction of Multi-Principal Element Alloys
A Novel Hyperparameter Optimization Approach for Supervised Classification: Phase Prediction of Multi-Principal Element Alloys
In this paper, a hyperparameter optimization approach is proposed for the phase prediction of multi-principal element allo...
Learning to Calibrate Prototypes for Few-Shot Image Classification
Learning to Calibrate Prototypes for Few-Shot Image Classification
Few-shot learning (FSL) aims to generalise the model to novel classes by using a limited amount of discriminative samples ...
Augmenting Cardiovascular Disease Prediction Through CWCF Integration Leveraging Harris Hawks Search in Deep Belief Networks
Augmenting Cardiovascular Disease Prediction Through CWCF Integration Leveraging Harris Hawks Search in Deep Belief Networks
Cardiovascular disease (CVD) is a major global health concern, demanding accurate predictive models to aid preventive heal...
Engaging Preference Optimization Alignment in Large Language Model for Continual Radiology Report Generation: A Hybrid Approach
Engaging Preference Optimization Alignment in Large Language Model for Continual Radiology Report Generation: A Hybrid Approach
Large language models (LLMs) remain relatively underutilized in medical imaging, particularly in radiology, which is essen...
HLAE: Hierarchical Local Attention Encoder for MRI Brain Tumor Image Classification
HLAE: Hierarchical Local Attention Encoder for MRI Brain Tumor Image Classification
MRI-based brain tumor classification is a challenging neuroimaging task, where the key lies in leveraging ensemble informa...
A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Media
A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Media
This study introduces an innovative automatic labeling framework to address the challenges of lexical normalization in soc...
Tweet Credibility Ranker: A Credibility Features’ Fusion Model
Tweet Credibility Ranker: A Credibility Features’ Fusion Model
Misinformation on social media has emerged as a modern weapon of warfare, disrupting societal peace, trust, justice, and d...
Application of Metaheuristic Algorithms with Supervised Machine Learning for Accurate Power Consumption Prediction
Application of Metaheuristic Algorithms with Supervised Machine Learning for Accurate Power Consumption Prediction
Accurate power consumption prediction is a crucial part of energy management. Some of the machine learning models that are...
Innovative Deep Learning Framework for Accurate Plant Disease Detection and Crop Productivity Enhancement
Innovative Deep Learning Framework for Accurate Plant Disease Detection and Crop Productivity Enhancement
In modern agriculture, the detection of plant diseases is crucial for enhancing crop productivity. Predicting disease onse...
Systematic Review and Thematic Analysis of Digital Games for Cognitive Enhancement in Children with Autism Spectrum Disorder: Toward a Conceptual Framework
Systematic Review and Thematic Analysis of Digital Games for Cognitive Enhancement in Children with Autism Spectrum Disorder: Toward a Conceptual Framework
Compared to typically developing people, children with autism spectrum disorder (ASD) have distinct cognitive and intellig...
Exploring Influence of Different Emotions on Decision-Making by Analyzing the Temporal, Spatial, and Spectral Domains of EEG
Exploring Influence of Different Emotions on Decision-Making by Analyzing the Temporal, Spatial, and Spectral Domains of EEG
Decision-making is a complex cognitive process, in which emotion is one of the most important factors. But insights into t...
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