yusuke1997/dblp-id-title huggingface dataset:
Ongoing Evolution of Visual SLAM from Geometry to Deep Learning: Challenges and Opportunities
SE-DCGAN: a New Method of Semantic Image Restoration
Multi-manifolds Discriminative Canonical Correlation Analysis for Image Set-Based Face Recognition
Optimization of Non-rigid Demons Registration Using Cuckoo Search Algorithm
Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications
A Consensus-Based Grouping Algorithm for Multi-agent Cooperative Task Allocation with Complex Requirements
A Comparative Analysis of Metaphorical Cognition in ChatGPT and Human Minds
Approaching Social Robots Through Playfulness and Doing-It-Yourself: Children in Action
A Dense-Layered Deep Neural Model-Based Classification of Brain Hemorrhages Using Head Computer Tomography Images
Clustering-Oriented Multiple Convolutional Neural Networks for Single Image Super-Resolution
The Drive for Creativity and the Escape from Creativity: Neurocognitive Mechanisms
HANA: Hierarchical Attention Network Assembling for Semantic Segmentation
Evaluating Integration Strategies for Visuo-Haptic Object Recognition
Development of a Socially Believable Multi-Robot Solution from Town to Home
Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos
A Neutrosophic Normal Cloud and Its Application in Decision-Making
Bayesian Optimisation of Large-scale Photonic Reservoir Computers
Training Echo State Networks with Regularization Through Dimensionality Reduction
Artificial Intelligence Inspired Task Offloading and Resource Orchestration in Intelligent Transportation Systems
Cognitive Computation
ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data
Clustering of Remote Sensing Imagery Using a Social Recognition-Based Multi-objective Gravitational Search Algorithm
A Novel Manifold Regularized Online Semi-supervised Learning Model
Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural Network
Evaluating Explainable Machine Learning Models for Clinicians
Activity Propagation in a Network of Coincidence-Detecting Neurons
Minotaurus: A System for Affective Human-Robot Interaction in Smart Environments
Conjugate Unscented FastSLAM for Autonomous Mobile Robots in Large-Scale Environments
Decoding Premovement Patterns with Task-Related Component Analysis
Extended Picture Fuzzy MULTIMOORA Method Based on Prospect Theory for Medical Institution Selection
Ultimate Cognition à la Gödel
Cognitively-Inspired Multi-Scale Spectral-Spatial Transformer for Hyperspectral Image Super-Resolution
Helpful Contextual Information Before or After Negative Events: Effects on Appraisal and Emotional Reaction
Adaptive Three-Way C-Means Clustering Based on the Cognition of Distance Stability
A New Algorithm for SAR Image Target Recognition Based on an Improved Deep Convolutional Neural Network
Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment
Detecting Gas Turbine Combustor Anomalies Using Semi-supervised Anomaly Detection with Deep Representation Learning
Stochastic Multiple-Attribute Decision Making Method Based on Stochastic Dominance and Almost Stochastic Dominance Rules with an Application to Online Purchase Decisions
Spatiotemporal Features for Action Recognition and Salient Event Detection
Exploiting a Modified Gray Model in Back Propagation Neural Networks for Enhanced Forecasting
Applying a Handwriting Measurement Model for Capturing Cognitive Load Implications Through Complex Figure Drawing
DmrNet: Dual-stream Mutual Information Contraction and Re-discrimination Network for Semi-supervised Temporal Action Detection
An Attention-Driven Multi-label Image Classification with Semantic Embedding and Graph Convolutional Networks
Prioritizing Measures to Mitigate the Impact of Cultural Differences on Semiconductor Supply Chain Localization: A Neutrosophic Collaborative Intelligence Approach
C 3 BAM-XAI: Convolutional Block Attention Module Enhanced Explainable Artificial Intelligence-Based Parkinson's Disease Stage Classification
Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson's Disease
One-Stage Multi-view Clustering with Hierarchical Attributes Extraction
Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm
Denoting Offence
Multi-Scale Mahalanobis Kernel-Based Support Vector Machine for Classification of High-Resolution Remote Sensing Images
A Biologically Inspired Framework for Visual Information Processing and an Application on Modeling Bottom-Up Visual Attention
Latent Space Exploration and Functionalization of a Gated Working Memory Model Using Conceptors
Qualitative Information Processing in Tripartite Synapses: A Hypothetical Model
Mixture Kernel Density Estimation and Remedied Correlation Matrix on the EEG-Based Copula Model for the Assessment of Visual Discomfort
A Novel Multi-head Attention and Long Short-Term Network for Enhanced Inpainting of Occluded Handwriting
Exploring Artificial Intelligence Tutor Teammate Adaptability to Harness Discovery Curiosity and Promote Learning in the Context of Interactive Molecular Dynamics
Longitudinal Prediction of Mental Health Outcomes in Vulnerable Youth using Machine Learning
V4 Neural Network Model for Shape-Based Feature Extraction and Object Discrimination
Agent-Based Modeling of Emotion Contagion in Groups
An Asymmetric Semantic Segmentation Model via Lightweight Attention-Guided Feature Enhancement and Fusion
Analyzing Emotional Trends from X Platform Using SenticNet: A Comparative Analysis with Cryptocurrency Price
Autonomous Driver Based on an Intelligent System of Decision-Making
Biologically Inspired Progressive Enhancement Target Detection from Heavy Cluttered SAR Images
Similar Vague Concepts Selection Using Their Euclidean Distance at Different Granulation
Accelerating Infinite Ensemble of Clustering by Pivot Features
Automated Detection and Diagnosis of Bacterial Skin Infections using Deep Learning with Segmentation Techniques
Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes
Novel Similarity Measure Based on the Transformed Right-Angled Triangles Between Intuitionistic Fuzzy Sets and its Applications
State Primitive Learning to Overcome Catastrophic Forgetting in Robotics
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation
An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons
Context Aware Sentiment Link Prediction in Heterogeneous Social Network
What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt's Dream and John von Neumann's Puzzle
Twitter Sentiment Analysis for Large-Scale Data: An Unsupervised Approach
Extensions of Intuitionistic Fuzzy Geometric Interaction Operators and Their Application to Cognitive Microcredit Origination
Rain Streak Removal Using Improved Generative Adversarial Network with Loss Function Optimization
A Communication-Efficient Distributed Frank-Wolfe Online Algorithm with an Event-Triggered Mechanism
Advances on Brain Inspired Computing
Finite-Time Neuro-adaptive Controller Algorithms for Nonlinear Multiagent Systems with State Constraints and Unmodeled Dynamics
D-Intuitionistic Hesitant Fuzzy Sets and their Application in Multiple Attribute Decision Making
An Automated Method for Characterization of Evoked Single-Trial Local Field Potentials Recorded from Rat Barrel Cortex Under Mechanical Whisker Stimulation
Aspect-Based Sentiment Analysis of Customer Speech Data Using Deep Convolutional Neural Network and BiLSTM
A Graph-based Semi-supervised Multi-label Learning Method Based on Label Correlation Consistency
Distributed Divergent Creativity: Computational Creative Agents at Web Scale
Constructing Robust Fuzzy Rough Set Models Based on Three-way Decisions
Conditional Time Series Modeling for Pneumoconiosis Progression Risk Prediction with Missing Data
A Pythagorean Fuzzy Entropy with Multi-Distributive Weighted Function-Based Decision-Making for Transportation Problem
A Position Identification and Path Labelling Mechanism for a Neural Model of Visual Awareness
BrainNet with Connectivity Attention for Individualized Predictions Based on Multi-Facet Connections Extracted from Resting-State fMRI Data
Deep Learning Innovations in the Detection of Lung Cancer: Advances, Trends, and Open Challenges
Relation Extraction of Medical Concepts Using Categorization and Sentiment Analysis
Combining Interpretable Embedded Multicriteria Feature Cross-Selection Engineering and Machine Learning to Mimic the Brain for Stock Trading Signal Prediction
Abductive Learning Ensembles for Hand Shape Identification
Stability Analysis of Quaternion-Valued Neutral Neural Networks with Generalized Activation Functions
A Revised Picture Fuzzy Linguistic Aggregation Operator and Its Application to Group Decision-Making
Application of Rough Set-Based Feature Selection for Arabic Sentiment Analysis
Does Twitter Affect Stock Market Decisions? Financial Sentiment Analysis During Pandemics: A Comparative Study of the H1N1 and the COVID-19 Periods
Neural Image Caption Generation with Weighted Training and Reference
A Mechanistic Account of Stress-Induced Performance Degradation
Correlation Coefficients of Hesitant Fuzzy Sets and Their Application Based on Fuzzy Measures
Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition
What Goes Around Comes Around: Learning Sentiments in Online Medical Forums
Distributed Interference Alignment Algorithm for Multiple-Input Multiple-Output Networks with Uncoordinated Interference
A Bayesian Assessment of Real-World Behavior During Multitasking
Neural Modeling and Real-Time Environment Training of Human Binocular Stereo Visual Tracking
Bio-inspired Approach for Smooth Motion Control of Wheeled Mobile Robots
Learning Discriminated Features Based on Feature Pyramid Networks and Attention for Multi-scale Object Detection
Incorporating Template-Based Contrastive Learning into Cognitively Inspired, Low-Resource Relation Extraction
Extreme Learning Machine with Kernels for Solving Elliptic Partial Differential Equations
A Novel IoT-Fog-Cloud-based Healthcare System for Monitoring and Preventing Encephalitis
Deep Learning-Based Early Detection of Lung Diseases Using Light Attention Visual Geometry Networks
CCBLA: a Lightweight Phishing Detection Model Based on CNN, BiLSTM, and Attention Mechanism
Scrutinizing Label: Contrastive Learning on Label Semantics and Enriched Representation for Relation Extraction
Selective Attention and Consciousness: Investigating Their Relation Through Computational Modelling
Contrastive-Based Removal of Negative Information in Multimodal Emotion Analysis
Bridging Cognitive Models and Recommender Systems
Guest Editorial: Computational Intelligence for Big Data Analytics
Motivational Representations within a Computational Cognitive Architecture
On the Natural Hierarchical Composition of Cliques in Cell Assemblies
Face Recognition with Quantum Associative Networks Using Overcomplete Gabor Wavelet
Negotiating over Mobile Phones: Calling or Being Called Can Make the Difference
Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization
Tri-Partition State Alphabet-Based Sequential Pattern for Multivariate Time Series
A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework for Neuroscience Applications
GMM-Based Evaluation of Emotional Style Transformation in Czech and Slovak
Enhanced Dynamic Key-Value Memory Networks for Personalized Student Modeling and Learning Ability Classification
Trust-Aware Personalized Route Query Using Extreme Learning Machine in Location-Based Social Networks
Models for Computational Emotions from Psychological Theories Using Type I Fuzzy Logic
Is a Machine Realization of Truly Human-Like Intelligence Achievable?
A Novel Biologically Inspired Visual Saliency Model
Discriminative Deep Belief Network for Indoor Environment Classification Using Global Visual Features
Exploring Personalised Autonomous Vehicles to Influence User Trust
Ensemble p-Laplacian Regularization for Scene Image Recognition
An Investigation to Identify Optimal Setup for Automated Assessment of Dysarthric Intelligibility using Deep Learning Technologies
A Multilayer Network-Based Approach to Represent, Explore and Handle Convolutional Neural Networks
A Novel Picture Fuzzy Linguistic Aggregation Operator and Its Application to Group Decision-making
A Meta-Cognitive Learning Algorithm for an Extreme Learning Machine Classifier
Cognitive Analysis of Medical Decision-Making: An Extended MULTIMOORA-Based Multigranulation Probabilistic Model with Evidential Reasoning
Detecting Speech Polarity with High-Order Statistics
Detection of Cardiovascular Diseases Using Data Mining Approaches: Application of an Ensemble-Based Model
Visual Cognition-Inspired Multi-View Vehicle Re-Identification via Laplacian-Regularized Correlative Sparse Ranking
Human Reading Knowledge Inspired Text Line Extraction
The Perceptual and Cognitive Role of Visual and Auditory Channels in Conveying Emotional Information
Deep Multi-task Learning for Animal Chest Circumference Estimation from Monocular Images
Deep Weighted Extreme Learning Machine
Multiple Local-Global Correlation-Based Deep Neural Network with Selective Kernel Attention for Bearing Fault Diagnosis
Principal Component Analysis Applications in COVID-19 Genome Sequence Studies
Application of Metaheuristic Algorithms with Supervised Machine Learning for Accurate Power Consumption Prediction
Relationship Identification Between Conversational Agents Using Emotion Analysis
Learning with Similarity Functions: a Tensor-Based Framework
A Cognitive Information-Based Decision-Making Algorithm Using Interval-Valued q-Rung Picture Fuzzy Numbers and Heronian Mean Operators
Linguistic Interval Hesitant Fuzzy Sets and Their Application in Decision Making
Autonomous Agents and Ethical Decision-Making
Passing the Turing Test Does Not Mean the End of Humanity
What AI, Neuroscience, and Cognitive Science Can Learn from Each Other: An Embedded Perspective
LightAdam: Towards a Fast and Accurate Adaptive Momentum Online Algorithm
Editor's Note: Cognitive Computation and COVID-19
Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach
A Hybrid CNN-LSTM Model for Psychopathic Class Detection from Tweeter Users
Cognitively Inspired Feature Extraction and Speech Recognition for Automated Hearing Loss Testing
Weight Uncertainty in Boltzmann Machine
Prosociality in Cyberspace: Developing Emotion and Behavioral Regulation to Decrease Aggressive Communication
AS-3DFCN: Automatically Seeking 3DFCN-Based Brain Tumor Segmentation
Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes
The Effect of Toxin on a Diffusive Zooplankton-Phytoplankton Model
MVVA-Net: a Video Aesthetic Quality Assessment Network with Cognitive Fusion of Multi-type Feature-Based Strong Generalization
Optimizing Sentiment Classification for Arabic Opinion Texts
SPEI-FL: Serverless Privacy Edge Intelligence-Enabled Federated Learning in Smart Healthcare Systems
Characterizing the Time-Varying Brain Networks of Audiovisual Integration across Frequency Bands
Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery
Discovering the Cognitive Bias of Toxic Language Through Metaphorical Concept Mappings
Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space
Facial Expression Recognition Based on a Hybrid Model Combining Deep and Shallow Features
Emotion Analysis of COVID-19 Vaccines Based on a Fuzzy Convolutional Neural Network
HAKE: an Unsupervised Approach to Automatic Keyphrase Extraction for Multiple Domains
Reverse Engineering the Vertebrate Brain: Methodological Principles for a Biologically Grounded Programme of Cognitive Modelling
CLKT: Optimizing Cognitive Load Management in Knowledge Tracing
Topologically Consistent Prototype Network for Incomplete Multimodal Learning
Efficient Implementations of Echo State Network Cross-Validation
A Cognitively Inspired Knowledge-Based Decision-Making Methodology Employing Intuitionistic Fuzzy Sets
Reducing Features Using Discriminative Common Vectors
A Multicriteria Decision-Making Approach with Linguistic D Numbers Based on the Choquet Integral
A Novel Fuzzy Distance-Based Minimum Spanning Tree Clustering Algorithm for Face Detection
MCCFNet: Multi-channel Color Fusion Network For Cognitive Classification of Traditional Chinese Paintings
Artificial Development of Biologically Plausible Neural-Symbolic Networks
Deep Transfer Learning for Improved Detection of Keratoconus using Corneal Topographic Maps
Computation in Emotional Processing: Quantitative Confirmation of Proportionality Hypothesis for Angry Unhappy Emotional Intensity to Perceived Loss
A Multitask Framework to Detect Depression, Sentiment and Multi-label Emotion from Suicide Notes
Inference Through Embodied Simulation in Cognitive Robots
Robust and Sparse Linear Programming Twin Support Vector Machines
Multi-stage Alzheimer's Disease Classification Using Squeeze Excitation Light Channel Network with a Random Lyrebird: Achieving High Sensitivity and Precision in Early Detection
A Novel Feature Fusion Approach for Classification of Motor Imagery EEG Based on Hierarchical Extreme Learning Machine
Image Fusion by Hierarchical Joint Sparse Representation
A New Approach for JPEG Steganalysis with a Cognitive Evolving Ensembler and Robust Feature Selection
Ordered Weighted Averaging for Emotion-Driven Polarity Detection
Biologically Motivated Model for Outdoor Scene Classification
Saliency Subtraction Inspired Automated Event Detection in Underwater Environments
VSCA: A Sentence Matching Model Incorporating Visual Perception
A Novel Clustering Algorithm in a Neutrosophic Recommender System for Medical Diagnosis
Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human-Human and Human-Machine Interactions
Is Attentional Refreshing in Working Memory Sequential? A Computational Modeling Approach
Protein Folding in the 2D Hydrophobic-Hydrophilic (HP) Square Lattice Model is Chaotic
Erratum to: A New Spatio-Temporal Saliency-Based Video Object Segmentation
An Ensemble Method for Radicalization and Hate Speech Detection Online Empowered by Sentic Computing
FFNet: Feature Fusion Network for Few-shot Semantic Segmentation
Biometric Applications Related to Human Beings: There Is Life beyond Security
Green Supplier Selection Mechanism Based on Information Environment of Z-Numbers
Learning Optimal Seeds for Ranking Saliency
Feature Selection of Network Data VIA ℓ 2, p Regularization
Unleashing the Power of Generative AI in Agriculture 4.0 for Smart and Sustainable Farming
Decision-Making-Based Solar Panel Selection: Sugeno-Weber Operators and Fermatean Fuzzy Distance Measure with AROMAN Methodology
On the Way to Large-Scale and High-Resolution Brain-Chip Interfacing
Perceptual Information Integration: Hypothetical Role of Astrocytes
Automatic Assessment of Motor Impairments in Autism Spectrum Disorders: A Systematic Review
A Machine Learning Approach to Detect Router Advertisement Flooding Attacks in Next-Generation IPv6 Networks
A Probabilistic Model for Information Retrieval by Mining User Behaviors
Category-Aware Siamese Learning Network for Few-Shot Segmentation
A Brain-Controlled Vehicle System Based on Steady State Visual Evoked Potentials
The Big-2/ROSe Model of Online Personality
A Benchmark Dual-Modality Dental Imaging Dataset and a Novel Cognitively Inspired Pipeline for High-Resolution Dental Point Cloud Synthesis
FE-ELM: A New Friend Recommendation Model with Extreme Learning Machine
Research Progress on Semi-Supervised Clustering
A Novel Resilient and Intelligent Predictive Model for CPS-Enabled E-Health Applications
A New Spatio-Temporal Saliency-Based Video Object Segmentation
Aspect Based Sentiment Analysis Using Long-Short Term Memory and Weighted N-Gram Graph-Cut
Cognitive System Framework for Brain-Training Exercise Based on Human-Robot Interaction
Action Plan Diversity in Children During Control Exploration: Link Between Action and Sense of Agency
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
Joint Label Propagation, Graph and Latent Subspace Estimation for Semi-supervised Classification
Cross-Linguistic Cognitive Modeling of Verbal Morphology Acquisition
Computational Creativity, Intelligence and Autonomy
A Novel Group Decision-Making Method Based on Linguistic Neutrosophic Maclaurin Symmetric Mean (Revision IV)
A Gradient-Based Neural Network Method for Solving Strictly Convex Quadratic Programming Problems
Erratum to: Blame the Opponent! Effects of Multimodal Discrediting Moves in Public Debates
A Novel Multi-attribute Group Decision-Making Method Based on q-Rung Dual Hesitant Fuzzy Information and Extended Power Average Operators
Multi-Objective Model Selection (MOMS)-based Semi-Supervised Framework for Sentiment Analysis
CPD-NSL: A Two-Stage Brain Effective Connectivity Network Construction Method Based on Dynamic Bayesian Network
Spiking Memory Policy with Population-encoding for Partially Observable Markov Decision Process Problems
Merging Similar Neurons for Deep Networks Compression
The Improved Ordering-Based Search Method Incorporating with Ensemble Learning
Efficient Deep Neural Networks for Classification of Alzheimer's Disease and Mild Cognitive Impairment from Scalp EEG Recordings
Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes
Multi-Robot Exploration in Wireless Environments
Unsupervised Multi-modal Hashing for Cross-Modal Retrieval
A Multi-Granularity Information-Based Method for Learning High-Dimensional Bayesian Network Structures
Sigma-Lognormal Modeling of Speech
Design and Deployment of an Image Polarity Detector with Visual Attention
The Influence of the Attachment Style on the Decoding Accuracy of Emotional Vocal Expressions
Possibility Degree and Power Aggregation Operators of Single-Valued Trapezoidal Neutrosophic Numbers and Applications to Multi-Criteria Group Decision-Making
How to Measure Cerebral Correlates of Emotions in Marketing Relevant Tasks
How Deep Should be the Depth of Convolutional Neural Networks: a Backyard Dog Case Study
Learning Word Representations for Sentiment Analysis
Multi-Criteria Decision-Making Method Based on Distance Measure and Choquet Integral for Linguistic Z-Numbers
An Incremental Approach to Address Big Data Classification Problems Using Cognitive Models
An Ensemble of Complementary Models for Deep Tracking
Adaptive-Wave Alternative for the Black-Scholes Option Pricing Model
Unmasking GAN-Generated Faces with Optimal Deep Learning and Cognitive Computing-Based Cutting-Edge Detection System
A Yolo-Based Model for Breast Cancer Detection in Mammograms
Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network
Three-way Decision Approach Based on Utility and Dynamic Localization Transformational Procedures within a Circular q-Rung Orthopair Fuzzy Set for Ranking and Grading Large Language Models
Feature Selection Based on Modified Bio-inspired Atomic Orbital Search Using Arithmetic Optimization and Opposite-Based Learning
A Holistic Comparative Study of Large Language Models as Emotional Support Dialogue Systems
Interval-Valued Intuitionistic Fuzzy Yager Power Operators and Possibility Degree-Based Group Decision-Making Model
Model Based Edge-Preserving and Guided Filter for Real-World Hazy Scenes Visibility Restoration
Testing an Explicit Method for Multi-compartment Neuron Model Simulation on a GPU
A Simple Recurrent Network for Implicit Learning of Temporal Sequences
Alternative Techniques of Neural Signal Processing in Neuroengineering
RA-Net: Region-Aware Attention Network for Skin Lesion Segmentation
Autonomous Cognitive Systems in Real-World Environments: Less Control, More Flexibility and Better Interaction
Prescribed-Time-Based Adaptive Optimal Control for Nonlinear Systems with Error Constraint