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A Levitated Controlled Attention for Named Entity Recognition
A Levitated Controlled Attention for Named Entity Recognition
Controlled attention is a mechanism developed in cognitive neuroscience. It has been successfully applied to support named...
Scrutinizing Label: Contrastive Learning on Label Semantics and Enriched Representation for Relation Extraction
Scrutinizing Label: Contrastive Learning on Label Semantics and Enriched Representation for Relation Extraction
Sentence-level relation extraction is a technique for extracting factual information about relationships between entities ...
Prompt Learning for Multimodal Intent Recognition with Modal Alignment Perception
Prompt Learning for Multimodal Intent Recognition with Modal Alignment Perception
Multimodal intent recognition analysis is a crucial task in understanding user intent through speech, body movements, tone...
Decision-Analytics-Based Risk Allocation in the Micromobility Sector: Sugeno-Weber Operators and Picture Fuzzy Distance Methodology
Decision-Analytics-Based Risk Allocation in the Micromobility Sector: Sugeno-Weber Operators and Picture Fuzzy Distance Methodology
Arias-Molinares D, Xu Y, Büttner B, Duran-Rodas D. Exploring key spatial determinants for mobility hub placement based on ...
Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson’s Disease
Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson’s Disease
Artificial intelligence (AI) systems are increasingly used in healthcare applications, although some challenges have not b...
Barrier Function to Skin Elasticity in Talking Head
Barrier Function to Skin Elasticity in Talking Head
In this paper, we target the problem of generating facial expressions from a piece of audio. This is challenging since bot...
Analyzing Emotional Trends from X Platform Using SenticNet: A Comparative Analysis with Cryptocurrency Price
Analyzing Emotional Trends from X Platform Using SenticNet: A Comparative Analysis with Cryptocurrency Price
This study investigates the relationship between emotional trends derived from X platform data and the market dynamics of ...
Brain Age Estimation Using Universum Learning-Based Kernel Random Vector Functional Link Regression Network
Brain Age Estimation Using Universum Learning-Based Kernel Random Vector Functional Link Regression Network
Brain age serves as a vital biomarker for detecting neurological ailments like Alzheimer’s disease (AD) and Parkinso...
A Joint Network for Low-Light Image Enhancement Based on Retinex
A Joint Network for Low-Light Image Enhancement Based on Retinex
Methods based on the physical Retinex model are effective in enhancing low-light images, adeptly handling the challenges p...
Incorporating Template-Based Contrastive Learning into Cognitively Inspired, Low-Resource Relation Extraction
Incorporating Template-Based Contrastive Learning into Cognitively Inspired, Low-Resource Relation Extraction
From an unstructured text, relation extraction (RE) predicts semantic relationships between pairs of entities. The process...
Cognitively Inspired Three-Way Decision Making and Bi-Level Evolutionary Optimization for Mobile Cybersecurity Threats Detection: A Case Study on Android Malware
Cognitively Inspired Three-Way Decision Making and Bi-Level Evolutionary Optimization for Mobile Cybersecurity Threats Detection: A Case Study on Android Malware
Malicious apps use a variety of methods to spread infections, take over computers and/or IoT devices, and steal sensitive ...
A Novel Cognitive Rough Approach for Severity Analysis of Autistic Children Using Spherical Fuzzy Bipolar Soft Sets
A Novel Cognitive Rough Approach for Severity Analysis of Autistic Children Using Spherical Fuzzy Bipolar Soft Sets
Autism spectrum disorders (ASDs) pose complex challenges, characterized by atypical behaviors, sensory sensitivities, and ...
Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection
Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection
In the text mining area, prevalent deep learning models primarily focus on mapping input features to result of predicted o...
A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience
A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience
Generative Artificial Intelligence models are Artificial Intelligence models that generate new content based on a prompt o...
Probing Fundamental Visual Comprehend Capabilities on Vision Language Models via Visual Phrases from Structural Data
Probing Fundamental Visual Comprehend Capabilities on Vision Language Models via Visual Phrases from Structural Data
Does the model demonstrate exceptional proficiency in “item counting,” “color recognition,” or oth...
Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis
Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis
As cognitive-inspired computation approaches, deep neural networks or deep learning (DL) models have played important role...
Multi-View Cooperative Learning with Invariant Rationale for Document-Level Relation Extraction
Multi-View Cooperative Learning with Invariant Rationale for Document-Level Relation Extraction
Document-level relation extraction (RE) is a complex and significant natural language processing task, as the massive enti...
Fermatean Fuzzy Dombi Generalized Maclaurin Symmetric Mean Operators for Prioritizing Bulk Material Handling Technologies
Fermatean Fuzzy Dombi Generalized Maclaurin Symmetric Mean Operators for Prioritizing Bulk Material Handling Technologies
Zadeh LA. Fuzzy Sets Inf Contr. 1965;8:338–53.Article  Google Scholar  Ali J. Hes...
A Consensus Model with Non-Cooperative Behavior Adaptive Management Based on Cognitive Psychological State Computation in Large-Scale Group Decision
A Consensus Model with Non-Cooperative Behavior Adaptive Management Based on Cognitive Psychological State Computation in Large-Scale Group Decision
Social cognition proposed that individual cognitive psychology was closely related to decision-making behavior. The hetero...
Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation
Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation
The primary objective of an effective recommender system is to provide accurate, varied, and personalized recommendations ...
Automatic Screening of COVID-19 Using an Optimized Generative Adversarial Network
Automatic Screening of COVID-19 Using an Optimized Generative Adversarial Network
The quick spread of coronavirus disease (COVID-19) has resulted in a global pandemic and more than fifteen million confirm...
Principal Component Analysis Applications in COVID-19 Genome Sequence Studies
Principal Component Analysis Applications in COVID-19 Genome Sequence Studies
RNA genomes from coronavirus have a length as long as 32 kilobases, and the severe acute respiratory syndrome coronavirus ...
Unmasking GAN-Generated Faces with Optimal Deep Learning and Cognitive Computing-Based Cutting-Edge Detection System
Unmasking GAN-Generated Faces with Optimal Deep Learning and Cognitive Computing-Based Cutting-Edge Detection System
The emergence of deep learning (DL) has improved the excellence of generated media. However, with the enlarged level of ph...
Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey
Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey
Over the past few years, larger and deeper neural network models, particularly convolutional neural networks (CNNs), have ...
Twin Bounded Support Vector Machine with Capped Pinball Loss
Twin Bounded Support Vector Machine with Capped Pinball Loss
In order to obtain a more robust and sparse classifier, in this paper, we propose a novel classifier termed as twin bounde...
Prescribed-Time Sampled-Data Control for the Bipartite Consensus of Linear Multi-Agent Systems in Singed Networks
Prescribed-Time Sampled-Data Control for the Bipartite Consensus of Linear Multi-Agent Systems in Singed Networks
This article examines the prescribed-time sampled-data control problem for multi-agent systems in signed networks. A time-...
Granular Syntax Processing with Multi-Task and Curriculum Learning
Granular Syntax Processing with Multi-Task and Curriculum Learning
Syntactic processing techniques are the foundation of natural language processing (NLP), supporting many downstream NLP ta...
Evaluative Item-Contrastive Explanations in Rankings
Evaluative Item-Contrastive Explanations in Rankings
The remarkable success of Artificial Intelligence in advancing automated decision-making is evident both in academia and i...
Learning from Failure: Towards Developing a Disease Diagnosis Assistant That Also Learns from Unsuccessful Diagnoses
Learning from Failure: Towards Developing 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 le...
Cognitive Intelligent Decisions for Big Data and Cloud Computing in Industrial Applications using Trifold Algorithms
Cognitive Intelligent Decisions for Big Data and Cloud Computing in Industrial Applications using Trifold Algorithms
In contemporary real-time applications, diminutive devices are increasingly employing a greater portion of the spectrum to...
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