yusuke1997/dblp-id-title huggingface dataset:
Multi-granular Intuitionistic Fuzzy Three-Way Decision Model Based on the Risk Preference Outranking Relation
Clustering-Based Extraction of Near Border Data Samples for Remote Sensing Image Classification
Decision-Analytics-Based Risk Allocation in the Micromobility Sector: Sugeno-Weber Operators and Picture Fuzzy Distance Methodology
A Context-Based Disambiguation Model for Sentiment Concepts Using a Bag-of-Concepts Approach
HSBNN: A High-Scalable Bayesian Neural Networks Accelerator Based on Field Programmable Gate Arrays (FPGA)
Toward a Formal, Visual Framework of Emergent Cognitive Development of Scholars
Cognitive Computing in Mental Healthcare: a Review of Methods and Technologies for Detection of Mental Disorders
Federated Constrastive Learning and Visual Transformers for Personal Recommendation
An Improved SVM-Based Cognitive Diagnosis Algorithm for Operation States of Distribution Grid
A Developmental Approach for Training Deep Belief Networks
Rank-Adaptive Non-Negative Matrix Factorization
If Visual Saliency Predicts Search, Then Why? Evidence from Normal and Gaze-Contingent Search Tasks in Natural Scenes
Commentary on "D-Intuitionistic Hesitant Fuzzy Sets and Their Application in Multiple Attribute Decision Making"
A Fuzzy Ensemble-Based Deep learning Model for EEG-Based Emotion Recognition
Mining Knowledge of Respiratory Rate Quantification and Abnormal Pattern Prediction
Evolutionary Multitasking with Adaptive Tradeoff Selection Strategy
Deep Learning Forecasting in Cryptocurrency High-Frequency Trading
A Human Visual Experience-Inspired Similarity Metric for Face Recognition Under Occlusion
Common Subspace Learning via Cross-Domain Extreme Learning Machine
Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning
Optimizing Social Issues Strategies by Using Bipolar Complex Fuzzy Muirhead Mean Decision-Making Approach
Cognitive Decision-Making Based on a Non-linear Similarity Measure Using an Intuitionistic Fuzzy Set Framework
Youth at Stake: Alexithymia, Cognitive Distortions, and Problem Gambling in Late Adolescents
Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease
Consensus Building in Multi-criteria Group Decision-Making with Single-Valued Neutrosophic Sets
On Global Smooth Path Planning for Mobile Robots using a Novel Multimodal Delayed PSO Algorithm
A Novel Memristors Based Echo State Network Model Inspired by the Brain's Uni-hemispheric Slow-Wave Sleep Characteristics
Computer-Aided Dementia Diagnosis Based on Hierarchical Extreme Learning Machine
A Reservoir Computing Approach to Word Sense Disambiguation
Resonating Minds - Emergent Collaboration Through Hierarchical Active Inference
Synaptic Facilitation: A Key Biological Mechanism for Resource Allocation in Computational Models of Working Memory
Cognitive Impairment Detection Based on Frontal Camera Scene While Performing Handwriting Tasks
Single and Cross-Disorder Detection for Autism and Schizophrenia
Effect of Leakage Delays on Bifurcation in Fractional-Order Bidirectional Associative Memory Neural Networks with Five Neurons and Discrete Delays
A Framework for Privacy Quantification: Measuring the Impact of Privacy Techniques Through Mutual Information, Distance Mapping, and Machine Learning
GSNet: Group Sequential Learning for Image Recognition
A Hierarchical Predictive Coding Model of Object Recognition in Natural Images
Embeddings Evaluation Using a Novel Measure of Semantic Similarity
Modeling Marked Temporal Point Process Using Multi-relation Structure RNN
Simultaneous Feature Selection and Support Vector Machine Optimization Using the Grasshopper Optimization Algorithm
A Neural Mechanism for Reward Discounting: Insights from Modeling Hippocampal-Striatal Interactions
Computational Drafting of Plot Structures for Russian Folk Tales
Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey
Fault Self-repairing Flight Control of a Small Helicopter via Fuzzy Feedforward and Quantum Control Techniques
Views from Within a Narrative: Evaluating Long-Term Human-Robot Interaction in a Naturalistic Environment Using Open-Ended Scenarios
Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data
Visual-LiDAR SLAM Based on Unsupervised Multi-channel Deep Neural Networks
Generative AI and Deepfake Detection in Biometric Systems
Distance from Unimodality for the Assessment of Opinion Polarization
Multitask Extreme Learning Machine for Visual Tracking
Performance Evaluation of Human Resources Based on Linguistic Neutrosophic Maclaurin Symmetric Mean Operators
Cognitive Computation : An Introduction
Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE) - A Novel DL Model for Image Multi-resolution
Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data
A Novel Switching Delayed PSO Algorithm for Estimating Unknown Parameters of Lateral Flow Immunoassay
Enhanced Multi-Class Arrhythmia Detection Using Generative Adversarial Networks for Minority Class Augmentation
Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events
Enhancing the Feature Extraction Process for Automatic Speech Recognition with Fractal Dimensions
Anomaly Detection in Activities of Daily Living with Linear Drift
Non-iterative Learning Approaches and Their Applications
Deep Learning-Based Potential Ligand Prediction Framework for COVID-19 with Drug-Target Interaction Model
Multivariate Synchronization Analysis of Brain Electroencephalography Signals: A Review of Two Methods
A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Media
Combining Informative Regions and Clips for Detecting Depression from Facial Expressions
PS-Net: Progressive Selection Network for Salient Object Detection
A Neural Network Model of Episode Representations in Working Memory
A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis
Taxonomical Associative Memory
Echo State Property of Deep Reservoir Computing Networks
COVID-19 Detection: A Systematic Review of Machine and Deep Learning-Based Approaches Utilizing Chest X-Rays and CT Scans
Bifurcation Study for Fractional-Order Three-Layer Neural Networks Involving Four Time Delays
Learning Sentiment-Enhanced Word Representations by Fusing External Hybrid Sentiment Knowledge
Social Media Sentiment Analysis Based on Dependency Graph and Co-occurrence Graph
Foveal Attention and Inhibition of Return: A Model for the Generation of Perceptual Scan Paths
Computational Algorithms Derived from Multiple Scales of Neocortical Processing
Comparative Analytical Survey on Cognitive Agents with Emotional Intelligence
A Controlled Attention for Nested Named Entity Recognition
Automatically Building Financial Sentiment Lexicons While Accounting for Negation
Heterogeneous Semantic Projection Optimization for Thematic Depth in Homogeneous Graph
Limitations of the Recall Capabilities in Delay-Based Reservoir Computing Systems
A Robust Automated Machine Learning System with Pseudoinverse Learning
Spatio-Context-Based Target Tracking with Adaptive Multi-Feature Fusion for Real-World Hazy Scenes
3W-AlignNet: a Feature Alignment Framework for Person Search with Three-Way Decision Theory
Pupil Size Variations Reveal Information About Hierarchical Decision-Making Processes
MFCTrans: Multi-scale Feature Connection Transformer for Deformable Medical Image Registration
Brain Programming for the Evolution of an Artificial Dorsal Stream
The Impact of Sentiment Features on the Sentiment Polarity Classification in Persian Reviews
Advances in Brain-Inspired Cognitive Systems
Adaptive Gaze Control for Object Detection
A Real-Time Speech Enhancement Framework in Noisy and Reverberated Acoustic Scenarios
Exaggerating Facial Expressions: A Way to Intensify Emotion or a Way to the Uncanny Valley?
Using Principal Paths to Walk Through Music and Visual Art Style Spaces Induced by Convolutional Neural Networks
Modeling the Development of Goal-Specificity in Mirror Neurons
Internet of Things for Emotion Care: Advances, Applications, and Challenges
Cascade Regression-Based Face Frontalization for Dynamic Facial Expression Analysis
CO-WORKER: Toward Real-Time and Context-Aware Systems for Human Collaborative Knowledge Building
Analysis and Prediction of COVID-19 Pandemic in Bangladesh by Using ANFIS and LSTM Network
Problem-solving and Quantum Computation
Nonlinear Dynamics for Hypernasality Detection in Spanish Vowels and Words
Characterizing Neurological Disease from Voice Quality Biomechanical Analysis
COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector Classifier
A Bio-Inspired Incremental Learning Architecture for Applied Perceptual Problems
A Collaborative-Filtering-Based Data Collection Strategy for Friedreich's Ataxia
RELU EM -Reinforcing Emotional Understanding: Advancing Speech Emotion Recognition Through Deep Reinforcement Learning
Attribute Reduction Algorithms Determined by Invariants for Decision Tables
A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine
Few-Shot Object Detection with Weight Imprinting
QAOVDetect: A Novel Syllogistic Model with Quantized and Anchor Optimized Approach to Assist Visually Impaired for Animal Detection using 3D Vision
Predicting Seminal Quality via Imbalanced Learning with Evolutionary Safe-Level Synthetic Minority Over-Sampling Technique
Quasi-projective Synchronization Control of Delayed Stochastic Quaternion-Valued Fuzzy Cellular Neural Networks with Mismatched Parameters
Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation
Multimodal Emotion Distribution Learning
An Arterial Traffic Signal Control System Based on a Novel Intersections Model and Improved Hill Climbing Algorithm
Multi-target Interactive Neural Network for Automated Segmentation of the Hippocampus in Magnetic Resonance Imaging
Orthogonal Echo State Networks and Stochastic Evaluations of Likelihoods
Pronunciation-Enhanced Chinese Word Embedding
Evaluative Item-Contrastive Explanations in Rankings
Deep Learning-Based Approach for the Automatic Quantification of Epicardial Adipose Tissue from Non-Contrast CT
Editorial: What AI and Neuroscience Can Learn from Each Other - Open Problems in Models and Theories
A Multiple Criteria Decision Making Model with Entropy Weight in an Interval-Transformed Hesitant Fuzzy Environment
Differential Privacy in Cognitive Radio Networks: A Comprehensive Survey
Fluent Human-Robot Dialogues About Grounded Objects in Home Environments
Non-Invasive Classification of Mental Health Disorders Using Resting-State EEG with Dry Electrodes for Scalable Triage
A Calibration-free Approach to Implementing P300-based Brain-computer Interface
Towards Long-Term Remembering in Federated Continual Learning
A Novel Multi-attribute Group Decision-Making Method Under Linguistic q-Rung Orthopair Fuzzy Environment Based on Archimedean Copula and Extended Power Average Operator
A Boundary Regression Model for Nested Named Entity Recognition
A Graph Neural Network with Spatial Attention for Emotion Analysis
Density Estimation-Based Stein Variational Gradient Descent
Quasi-Quantum Computing in the Brain?
Particle Swarm Optimization-Based Extreme Learning Machine for COVID-19 Detection
Motor Imagery EEG Classification Based on Kernel Hierarchical Extreme Learning Machine
GLAN: GAN Assisted Lightweight Attention Network for Biomedical Imaging Based Diagnostics
Neuron Pruning-Based Discriminative Extreme Learning Machine for Pattern Classification
Scanpath Generated by Cue-Driven Activation and Spatial Strategy: A Comparative Study
A Perceived Risk Index Leveraging Social Media Data: Assessing Severity of Fire on Microblogging
A Joint Network for Low-Light Image Enhancement Based on Retinex
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations
Dual Attention with the Self-Attention Alignment for Efficient Video Super-resolution
Functional Connectivity Imbalance Between Positive and Negative Networks in Mild Cognitive Impairment via Feature Selection
Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation
Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health
Combining Expression Data and Knowledge Ontology for Gene Clustering and Network Reconstruction
Nature-Inspired Chemical Reaction Optimisation Algorithms
Classification of Uncertain Data Streams Based on Extreme Learning Machine
Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention
Granule Description of Incomplete Data: A Cognitive Viewpoint
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
Analyzing Social Robotics Research with Natural Language Processing Techniques
An Interactive Fuzzy Inference System for Teletherapy of Older People
Particle Swarm Optimization Based Swarm Intelligence for Active Learning Improvement: Application on Medical Data Classification
Embodied Gesture Processing: Motor-Based Integration of Perception and Action in Social Artificial Agents
Bifurcation Analysis of a Fractional-Order Bidirectional Associative Memory Neural Network with Multiple Delays
Parkinson's Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech
Optimal Granule Combination Selection Based on Multi-Granularity Triadic Concept Analysis
High-Fidelity Emotion Recognition via SDR-Based Wireless Sensing and Deep Learning
Correction to: Testing an Explicit Method for Multi‑compartment Neuron Model Simulation on a GPU
Automata Networks for Memory Loss Effects in the Formation of Linguistic Conventions
Stock Price Prediction Incorporating Market Style Clustering
Privacy-Preserving Skin Disease Detection Using One-Shot Federated Learning Approach
Learning the Fréchet Mean over the Manifold of Symmetric Positive-Definite Matrices
OIAE: Overall Improved Autoencoder with Powerful Image Reconstruction and Discriminative Feature Extraction
Real-Time Lane Detection by Using Biologically Inspired Attention Mechanism to Learn Contextual Information
A Study on Text-Score Disagreement in Online Reviews
Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking
Autonomy and Desire in Machines and Cognitive Agent Systems
Unsupervised Object Transfiguration with Attention
Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition
Special Issue Editorial: Computational Intelligence and Applications
A New Similarity Measure for Picture Fuzzy Sets and Its Various Applications
Dual-Branch Pre-activation Bottleneck Transformer for Face Forgery Detection
Incrementally Detecting Moving Objects in Video with Sparsity and Connectivity
Characteristic Analysis of Bioinspired Pod Structure Robotic Configurations
Ten Years of Sentic Computing
MTFFNet: a Multi-task Feature Fusion Framework for Chinese Painting Classification
AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing
A Review of Sentiment Analysis Research in Chinese Language
PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams
Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems
Multitask Learning for Complaint Identification and Sentiment Analysis
Segmentation of Drivable Road Using Deep Fully Convolutional Residual Network with Pyramid Pooling
Detection of Sarcasm and Nastiness: New Resources for Spanish Language
Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis
A Broad Learning System with Ensemble and Classification Methods for Multi-step-ahead Wind Speed Prediction
HC3: A Three-Way Clustering Method Based on Hierarchical Clustering
Interval-Valued Intuitionistic Fuzzy Power Bonferroni Aggregation Operators and Their Application to Group Decision Making
On the Integration of Large-Scale Time Series Distance Matrices Into Deep Visual Analytic Tools
Automatic Arabic Text Summarization Using Analogical Proportions
CoDeS: A Deep Learning Framework for Identifying COVID-Caused Depression Symptoms
Handwriting-Based Gender Classification Using Robotic and Machine Learning Models
Concept Formation and Quantum-like Probability from Nonlocality in Cognition
Enhanced Scene-Specific Saliency Prediction Incorporating Scene Information
Systematic Evaluation of Memory Retrieval in a Neuromorphic Model of the Hippocampus
Dual Distribution Adaptation Random Forest for Fault Diagnosis: Addressing Data Distribution Variability Under Varying Working Conditions
TraMiner: Vision-Based Analysis of Locomotion Traces for Cognitive Assessment in Smart-Homes
Sentiment Discovery of Social Messages Using Self-Organizing Maps
Compressing and Accelerating Neural Network for Facial Point Localization
Optimizing Sentiment Analysis: A Cognitive Approach with Negation Handling via Mathematical Modelling
Low-variance Multitaper Mel-frequency Cepstral Coefficient Features for Speech and Speaker Recognition Systems
Sentic Computing for Aspect-Based Opinion Summarization Using Multi-Head Attention with Feature Pooled Pointer Generator Network
Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization
Robust Bayesian Classification with Incomplete Data
Word Embedding Composition for Data Imbalances in Sentiment and Emotion Classification
Advancing Medical Imaging Through Generative Adversarial Networks: A Comprehensive Review and Future Prospects
Attention-Guided Multi-Scale Fusion Network for Similar Objects Semantic Segmentation
A Novel Probabilistic-Based Deep Neural Network: Toward the Selection of Wart Treatment
Separable Reversible Data Hiding Based on Integer Mapping and MSB Prediction for Encrypted 3D Mesh Models
Real-Time Multi-Class Classification of Respiratory Diseases Through Dimensional Data Combinations
DFootNet: A Domain Adaptive Classification Framework for Diabetic Foot Ulcers Using Dense Neural Network Architecture
Improving Visual Saliency by Adding 'Face Feature Map' and 'Center Bias'
Enhanced Self-Attention-Based Rapid CNN for Detecting Dense Objects in Varying Illumination
A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience
A Novel Spatiotemporal Longitudinal Methodology for Predicting Obesity Using Near Infrared Spectroscopy (NIRS) Cerebral Functional Activity Data
Brain Evoked Potential Latencies Optimization for Spatial Auditory Brain-Computer Interface
Local Feature Based Geometric-Resistant Image Information Hiding
A Novel Hyperparameter Optimization Approach for Supervised Classification: Phase Prediction of Multi-Principal Element Alloys
Novel Two-Stage Audiovisual Speech Filtering in Noisy Environments
Attribute Normalization Approaches to Group Decision-making and Application to Software Reliability Assessment
Development of a Decision Support System for Performance Measurement of Social Movements
A Top-Down and Bottom-Up Component of Visual Attention
A Multi-Criteria Three-Way Decision Making Method in a Picture Fuzzy Probabilistic Decision System
A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing
End-to-End Lifelong Learning: a Framework to Achieve Plasticities of both the Feature and Classifier Constructions
Neural Mechanisms of Maintenance and Manipulation of Information of Temporal Sequences in Working Memory
A Projection-Based Outranking Method with Multi-Hesitant Fuzzy Linguistic Term Sets for Hotel Location Selection
Cognitively-Inspired Computing for Gerontechnology
Visual Saliency from Image Features with Application to Compression
Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform
Idempotent Computing Rules and Novel Comparative Laws for Hesitant Fuzzy Cognitive Information and Their Application to Multiattribute Decision Making
Model of the Reticular Formation of the Brainstem Based on Glial-Neuronal Interactions
Physiological LQR Design for Postural Control Coordination of Sit-to-Stand Movement
Optimization Based Deep Learning for COVID-19 Detection Using Respiratory Sound Signals
Harnessing Cognitively Inspired Predictive Models to Improve Investment Decision-Making
Assistive Technologies for Older Adults in Urban Areas: A Literature Review
Lightweight Multi-modal Representation Learning for RGB Salient Object Detection
Exploring Dimensionality Reduction Techniques in Multilingual Transformers
O 2 -Bert: Two-Stage Target-Based Sentiment Analysis
From RNNs to Transformers and Beyond: a Deep Dive into Intent Detection in Goal-oriented Conversational Agents
An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations
Generative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS
Personality Enhanced Emotion Generation Modeling for Dialogue Systems
Autism AI: a New Autism Screening System Based on Artificial Intelligence
Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis
Medical Named Entity Recognition Using Weakly Supervised Learning
An Integrated Qualitative and Quantitative Biochemical Model Learning Framework Using Evolutionary Strategy and Simulated Annealing
Modeling Articulatory Rehearsal in an Attention-Based Model of Working Memory
The Effect of Fatigue on the Performance of Online Writer Recognition
Feature Component-Based Extreme Learning Machines for Finger Vein Recognition
Industrial Anomaly Detection Based on Improved Diffusion Model: A Review
Three-Way Decisions and Cognitive Computing
Learning Effects in Coupled Arrays of Cellular Neural Oscillators
On the Role of Emotion in Embodied Cognitive Architectures: From Organisms to Robots
Incremental Adaptive Learning Vector Quantization for Character Recognition with Continuous Style Adaptation
Verifying Technical Indicator Effectiveness in Cryptocurrency Price Forecasting: a Deep-Learning Time Series Model Based on Sparrow Search Algorithm
Mine Microseismic Time Series Data Integrated Classification Based on Improved Wavelet Decomposition and ELM
Density Peaks Clustering Based on Jaccard Similarity and Label Propagation
Iris Segmentation Using Feature Channel Optimization for Noisy Environments
U2F-GAN: Weakly Supervised Super-pixel Segmentation in Thyroid Ultrasound Images
Embedded Implementation of Second-Order Blind Identification (SOBI) for Real-Time Applications in Neuroscience
Efficient Deep Learning Approach for Diagnosis of Attention-Deficit/Hyperactivity Disorder in Children Based on EEG Signals
SOAR Improved Artificial Neural Network for Multistep Decision-making Tasks
Accurate Emotion Recognition Utilizing Extracted EEG Sources as Graph Neural Network Nodes
Uncertain Graph Classification Based on Extreme Learning Machine
Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning
COVID-19 Diagnosis via DenseNet and Optimization of Transfer Learning Setting
Extracting and Associating Meta-features for Understanding People's Emotional Behaviour: Face and Speech
Gender Classification by Means of Online Uppercase Handwriting: A Text-Dependent Allographic Approach
Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography
1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy
Neurosymbolic AI for Mining Public Opinions about Wildfires
Human Stress Level Detection Using Hybrid Cascaded Neuro-Fuzzy SpinalNet
Analogical Mapping with Sparse Distributed Memory: A Simple Model that Learns to Generalize from Examples
Improving Coronary Heart Disease Prediction Through Machine Learning and an Innovative Data Augmentation Technique
Dynamic Behavior of Three-Layer Fractional-Order Neural Networks with Multiple Delays
A Novel Convolutional Neural Network for Head Detection and Pose Estimation in Complex Environments from Single-Depth Images
A Levitated Controlled Attention for Named Entity Recognition
Adaptive Unsupervised Graph Convolution Network for Data Clustering with Graph Reconstruction