yusuke1997/dblp-id-title huggingface dataset:
Attention Mechanism Enhanced Multi-layer Edge Perception Network for Deep Semantic Medical Segmentation
An Improved Internal Model of Autonomous Robots by a Psychological Approach
A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings
Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19
Optimized U-Net Architecture with Enhanced Chimp Optimization Algorithm for Brain Tumor Segmentation
Learning to Calibrate Prototypes for Few-Shot Image Classification
Determination of Temporal Stock Investment Styles via Biclustering Trading Patterns
A Bio-Inspired Multi-Population-Based Adaptive Backtracking Search Algorithm
A New Action Execution Module for the Learning Intelligent Distribution Agent (LIDA): The Sensory Motor System
Dense Tissue Pattern Characterization Using Deep Neural Network
Range-Angle-Dependent Beamforming for Cognitive Antenna Array Radar with Frequency Diversity
Nature Inspired Computing: An Overview and Some Future Directions
Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation
Hybrid Deep Learning Models for Thai Sentiment Analysis
A Novel Robust Soft-Computed Range-Free Localization Algorithm Against Malicious Anchor Nodes
Insight into Hopf Bifurcation and Control Methods in Fractional Order BAM Neural Networks Incorporating Symmetric Structure and Delay
Outranking Decision-Making Method with Z-Number Cognitive Information
A Novel Biologically Inspired Approach for Clustering and Multi-Level Image Thresholding: Modified Harris Hawks Optimizer
Creating, Interpreting and Rating Harmonic Colour Palettes Using a Cognitively Inspired Model
To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
Mood Impact on Automaticity of Performance: Handwriting as Exemplar
Underdetermined Blind Source Separation by Parallel Factor Analysis in Time-Frequency Domain
Short-term Airline Passenger Flow Prediction Based on the Attention Mechanism and Gated Recurrent Unit Model
An Adaptive Decision-Making System for Behavior Analysis Among Young Adults
Spatial Memory Sequence Encoding and Replay During Modeled Theta and Ripple Oscillations
Position-Aware Attention Mechanism-Based Bi-graph for Dialogue Relation Extraction
A Voting Optimized Strategy Based on ELM for Improving Classification of Motor Imagery BCI Data
Cognitive Modelling and Learning for Multimedia Mining and Understanding
Observer and Command-Filter-Based Adaptive Neural Network Control Algorithms for Nonlinear Multi-agent Systems with Input Delay
Fast Face Recognition Via Sparse Coding and Extreme Learning Machine
Controlling Chaotic Associative Memory for Multiple Pattern Retrieval
A Connectionist Study on the Interplay of Nouns and Pronouns in Personal Pronoun Acquisition
Cognitive Knowledge-aware Social Recommendation via Group-enhanced Ranking Model
Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach
Salience in Paintings: Bottom-Up Influences on Eye Fixations
An Extended Outranking Approach to Rough Stochastic Multi-criteria Decision-Making Problems
A Cognitively Inspired Multi-granularity Model Incorporating Label Information for Complex Long Text Classification
End-to-End ConvNet for Tactile Recognition Using Residual Orthogonal Tiling and Pyramid Convolution Ensemble
Aspect Sentiment Triplet Extraction Incorporating Syntactic Constituency Parsing Tree and Commonsense Knowledge Graph
A Novel Ensemble-Learning-Based Convolution Neural Network for Handling Imbalanced Data
Editorial: Special Issue on Recent Advances in Cognitive Learning and Data Analysis
A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests
MXT: A New Variant of Pyramid Vision Transformer for Multi-label Chest X-ray Image Classification
Unified Multi-view Data Clustering: Simultaneous Learning of Consensus Coefficient Matrix and Similarity Graph
On Natural Based Optimization
Early Detection of Cardiovascular Disease Using AdaBoost Convolutional Random Arithmetic Trigonometric Algorithm
Exploiting Deep Contrast Feature for Image Retrieval
Applying a Text-Based Affective Dialogue System in Psychological Research: Case Studies on the Effects of System Behaviour, Interaction Context and Social Exclusion
Online Signature Watermarking in the Transform Domain
Cognitive and Emotional Information Processing for Human-Machine Interaction
Modelling Human Word Learning and Recognition Using Visually Grounded Speech
Overview of Hesitant Linguistic Preference Relations for Representing Cognitive Complex Information: Where We Stand and What Is Next
Three-way Decision Models of Cognitive Computing in Pythagorean Fuzzy Environments
Tweet Credibility Ranker: A Credibility Features' Fusion Model
A Unified Biologically-Inspired Prediction Framework for Classification of Movement-Related Potentials Based on a Logistic Regression Model
A Picture Fuzzy Multiple Criteria Decision-Making Approach Based on the Combined TODIM-VIKOR and Entropy Weighted Method
Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning
From 2D Images to 3D Model: Segmenting and Reconstructing Acne for Robust Skin Lesion Analysis
Decoding Word Information from Spatiotemporal Activity of Sensory Neurons
A Cognitive Control Architecture for the Perception-Action Cycle in Robots and Agents
Introduction: Dealing with Big Data-Lessons from Cognitive Computing
A Novel, Cognitively Inspired, Unified Graph-based Multi-Task Framework for Information Extraction
A Biologically Inspired Modified Flower Pollination Algorithm for Solving Economic Dispatch Problems in Modern Power Systems
Attention-Augmented Machine Memory
A Real-Time Active Pedestrian Tracking System Inspired by the Human Visual System
A Fuzzy Collaborative Intelligence Approach to Group Decision-Making: a Case Study of Post-COVID-19 Restaurant Transformation
Development of Computational Models of Emotions for Autonomous Agents: A Review
Mood of the Planet: Challenging Visions of Big Data in the Arts
Automatic Scientific Document Clustering Using Self-organized Multi-objective Differential Evolution
Toward Self-Referential Autonomous Learning of Object and Situation Models
Hardware-Optimized Reservoir Computing System for Edge Intelligence Applications
Learning from Failure: Towards Developing a Disease Diagnosis Assistant That Also Learns from Unsuccessful Diagnoses
Improved Path Integration Using a Modified Weight Combination Method
Sentic Computing
Deep Heuristic Evolutionary Regression Model Based on the Fusion of BiGRU and BiLSTM
Discriminative Lasso
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns
Cognitive Template-Clustering Improved LineMod for Efficient Multi-object Pose Estimation
Improved Alternative Queuing Method of Interval-Set Dissimilarity Measures and Possibility Degrees for Multi-expert Multi-criteria Decision-Making
Dialogue Relation Extraction with Document-Level Heterogeneous Graph Attention Networks
Storages Are Not Forever
Text Analysis of Evolving Emotions and Sentiments in COVID-19 Twitter Communication
A Motor Rehabilitation BMI System Design Through Improving the SJIT Model and Introducing an MPC-based Auxiliary Controller
Hyperautomation for Air Quality Evaluations: A Perspective of Evidential Three-way Decision-making
Haptic Recognition of Texture Surfaces Using Semi-Supervised Feature Learning Based on Sparse Representation
Cognitive Tracing Data Trails: Auditing Data Provenance in Discriminative Language Models Using Accumulated Discrepancy Score
A Semi-Supervised Predictive Sparse Decomposition Based on Task-Driven Dictionary Learning
Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization
Dynamic Neighborhood Selection for Context Aware Temporal Evolution Using Graph Neural Networks
Using Human-Computer Interfaces to Investigate 'Mind-As-It-Could-Be' from the First-Person Perspective
On Identifying Minimal Absent and Unique Words: An Efficient Scheme
On Findings of Category and Other Concept Cells in the Brain: Some Theoretical Perspectives on Mental Representation
Automatically Constructing a Fine-Grained Sentiment Lexicon for Sentiment Analysis
Improved Jacobian Eigen-Analysis Scheme for Accelerating Learning in Feedforward Neural Networks
Improvement of Facial Beauty Prediction Using Artificial Human Faces Generated by Generative Adversarial Network
SwinTSER: An Improved Bilingual Speech Emotion Recognition Using Shift Window Transformer
Words, Tweets, and Reviews: Leveraging Affective Knowledge Between Multiple Domains
Attention-Enabled Multi-layer Subword Joint Learning for Chinese Word Embedding
A Novel Natural Language Processing (NLP)-Based Machine Translation Model for English to Pakistan Sign Language Translation
Curriculum-Guided Self-Supervised Representation Learning of Dynamic Heterogeneous Networks
Gaussian Shape Descriptor for Palmprint Authentication
A 2 DM: Enhancing EEG Artifact Removal by Fusing Artifact Representation into the Time-Frequency Domain
Multiple Attribute Decision-Making Methods Based on the Expected Value and the Similarity Measure of Hesitant Neutrosophic Linguistic Numbers
Automated Fictional Ideation via Knowledge Base Manipulation
Guest Editorial: Trends in Reservoir Computing
A Criterion for Analysis of Different Sensor Combinations with an Application to Face Biometrics
Mussels Wandering Optimization: An Ecologically Inspired Algorithm for Global Optimization
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence
IR-Capsule: Two-Stream Network for Face Forgery Detection
Non-Linear and Non-Conventional Speech Processing: Alternative Techniques
Large-scale Ensemble Model for Customer Churn Prediction in Search Ads
Conditional Random Mapping for Effective ELM Feature Representation
A Data-Driven Energy Management Strategy Based on Deep Reinforcement Learning for Microgrid Systems
A Mutual Information-Based Many-Objective Optimization Method for EEG Channel Selection in the Epileptic Seizure Prediction Task
Knowledge Fusion via Joint Tensor and Matrix Factorization
Structured Encoding Based on Semantic Disambiguation for Video Captioning
Attentional Bias Pattern Recognition in Spiking Neural Networks from Spatio-Temporal EEG Data
Towards Autonomous Creative Systems: A Computational Approach
Neural Adaptive Dynamic Event-Triggered Containment Control for Uncertain Multi-Agent Systems Under Markovian Switching Dynamics
A Twin Multi-Class Classification Support Vector Machine
Optimal Path Computation for Autonomous Aerial Vehicles
Reverse Engineering of Biochemical Reaction Networks Using Co-evolution with Eng-Genes
What Languages Tell Us About the Structure of the Human Mind
Large-Kernel Attention for 3D Medical Image Segmentation
Attribute Reduction in a Hybrid Decision Information System Based on Fuzzy Conditional Information Entropy Using Iterative Model and Matrix Operation
A Fixed-Time Control Algorithm for Multiagent Systems with Input Delay via Event-Triggered Strategy
Shape Description and Recognition Method Inspired by the Primary Visual Cortex
Comments on Aur's "From Neuroelectrodynamics to Thinking Machines"
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction
Affect Sensing Using Linguistic, Semantic and Cognitive Cues in Multi-threaded Improvisational Dialogue
Multimodal Framework for Automatic Behavior Analysis of Children with Autism During ADOS-2
Implicit Heterogeneous Features Embedding in Deep Knowledge Tracing
Multi-Collaborative Unsupervised Contrastive Learning for DeepFake Detection Amidst Unseen Artifact
Fine-Grained Truck Re-identification: A Challenge
Extensions and Detailed Analysis of Synergy Between Traditional Classification and Classification Based on Negative Features in Deep Convolutional Neural Networks
Neural Network-Based Event-Triggered Adaptive Control Algorithms for Uncertain Nonlinear Systems with Actuator Failures
Emotion Recognition in Individuals with down Syndrome Based on Microexpression Analysis Using Machine Learning and Deep Learning Methods
BrainSpace: Relating Neuroscience to Knowledge About Everyday Life
Cognitive Intelligent Decisions for Big Data and Cloud Computing in Industrial Applications using Trifold Algorithms
A Novel Real-Time, Lightweight Chaotic-Encryption Scheme for Next-Generation Audio-Visual Hearing Aids
Twin Bounded Support Vector Machine with Capped Pinball Loss
An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions
A Hebbian Model to Account for Musical Expertise Differences in a Working Memory Task
A Perceptually Adaptive Long-Term Tracking Method for the Complete Occlusion and Disappearance of a Target
Sentic Web: A New Paradigm for Managing Social Media Affective Information
Improving Whale Optimization Algorithm with Elite Strategy and Its Application to Engineering-Design and Cloud Task Scheduling Problems
Diversity-Based Random Forests with Sample Weight Learning
Deep Learning Approach for Early Detection of Alzheimer's Disease
A Novel Regularized Extreme Learning Machine Based on L 1 -Norm and L 2 -Norm: a Sparsity Solution Alternative to Lasso and Elastic Net
An Improved Neuro-fuzzy Generalized Predictive Control of Ultra-supercritical Power Plant
Toward a Brain-Inspired Theory of Artificial Learning
Towards Autonomous Robots Via an Incremental Clustering and Associative Learning Architecture
Extracting New Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling with Limited Buffer Spaces
Accurate Prediction of Lysine Methylation Sites Using Evolutionary and Structural-Based Information
Guest Editorial: Cognitive Analysis for Humans and AI
Improving Incremental Nonnegative Matrix Factorization Method for Recommendations Based on Three-Way Decision Making
Hierarchical Neural Representation for Document Classification
Joint and Individual Feature Fusion Hashing for Multi-modal Retrieval
Image Retrieval Using Object Semantic Aggregation Histogram
A Multiple Attribute Group Decision-making Method Based on the Partitioned Bonferroni Mean of Linguistic Intuitionistic Fuzzy Numbers
Improving the Recall Performance of a Brain Mimetic Microcircuit Model
Identity, Gender, Age, and Emotion Recognition from Speaker Voice with Multi-task Deep Networks for Cognitive Robotics
A Neuro-evolutionary Hyper-heuristic Approach for Constraint Satisfaction Problems
Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net
Augmenting Cardiovascular Disease Prediction Through CWCF Integration Leveraging Harris Hawks Search in Deep Belief Networks
A New Face Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums
Bifurcation and Oscillations of a Multi-ring Coupling Neural Network with Discrete Delays
Cognitive Traffic Anomaly Prediction from GPS Trajectories Using Visible Outlier Indexes and Meshed Spatiotemporal Neighborhoods
Models for Computational Emotions from Psychological Theories Using Type-II Fuzzy Logic
A Self-Attention-Based Multi-Level Fusion Network for Aspect Category Sentiment Analysis
Feature Selection and Evolutionary Rule Learning for Big Data in Smart Building Energy Management
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions
What You Say or How You Say It? Depression Detection Through Joint Modeling of Linguistic and Acoustic Aspects of Speech
Distributed Drone Base Station Positioning for Emergency Cellular Networks Using Reinforcement Learning
I2V-CMGAN: Generative Adversarial Cross-Modal Network-Based Image-to-Video Person Re-identification
Model-Based Human Gait Recognition Via Deterministic Learning
Peeping into the Future: Understanding and Combating Generative AI-Based Fake News
Data-driven Dimensional Expression Generation via Encapsulated Variational Auto-Encoders
The Cognitive Mechanisms of Multi-scale Perception for the Recognition of Extremely Similar Faces
Modeling Tweet Dependencies with Graph Convolutional Networks for Sentiment Analysis
Fixed-Time Control for Memristor-Based Quaternion-Valued Neural Networks with Discontinuous Activation Functions
Sentilo: Frame-Based Sentiment Analysis
Integrating Metamaterial Antenna Node and LiFi for Privacy Preserving Intelligent COVID-19 Hospital Patient Management
Root Cause Analysis Based on Relations Among Sentiment Words
Synchronization of Hypercomplex Neural Networks with Mixed Time-Varying Delays
Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network
Enhancing Skin Disease Diagnosis: Light GBM-DMS Algorithm for Accurate Image Classification
DOA Estimation of Excavation Devices with ELM and MUSIC-Based Hybrid Algorithm
MC-GAT: Multi-Channel Graph Attention Networks for Capturing Diverse Information in Complex Graphs
An Adaptive Density Data Stream Clustering Algorithm
Novel Approach Using Echo State Networks for Microscopic Cellular Image Segmentation
Asynchronous Brain-Computer Interface Based on Steady-State Visual-Evoked Potential
Observational Learning: Basis, Experimental Results and Models, and Implications for Robotics
A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation
Optimization of Multiuser MIMO Cooperative Spectrum Sensing in Cognitive Radio Networks
Granular Syntax Processing with Multi-Task and Curriculum Learning
A Generative Model of Cognitive State from Task and Eye Movements
A Mixed Approach for Aggressive Political Discourse Analysis on Twitter
Deep Learning in Mining Biological Data
Quantum-Inspired Multi-Objective Seahorse Optimizer for Predictive Maintenance Analysis Using Numerical Association Rule Mining
The Self-Cognisant Robot
Software Architecture for Smart Emotion Recognition and Regulation of the Ageing Adult
Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables
Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems
Clustering of Gaze During Dynamic Scene Viewing is Predicted by Motion
Innovative Deep Learning Framework for Accurate Plant Disease Detection and Crop Productivity Enhancement
Accounting for Certain Mental Disorders Within a Comprehensive Cognitive Architecture
ArQuAD: An Expert-Annotated Arabic Machine Reading Comprehension Dataset
Leveraging Spatial Context Disparity for Power Line Detection
Enhancing Document-Level Relation Extraction with Attention-Convolutional Hybrid Networks and Evidence Extraction
Explainable Deep Learning System for Custom Report Generation in Breast Cancer Histology
A Multi-scale Feature Fusion Network Focusing on Small Objects in UAV-View
Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification
Road Segmentation from High-Fidelity Remote Sensing Images using a Context Information Capture Network
Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels
Displaying and Regulating Different Social Response Patterns: A Computational Agent Model
Engaging Preference Optimization Alignment in Large Language Model for Continual Radiology Report Generation: A Hybrid Approach
Integrating Economic Theory, Domain Knowledge, and Social Knowledge into Hybrid Sentiment Models for Predicting Crude Oil Markets
MvInf: Social Influence Prediction with Multi-view Graph Attention Learning
Cognitive Architectures for Affect and Motivation
A Class Incremental Extreme Learning Machine for Activity Recognition
Common Visual Patterns Discovery with an Elastic Matching Model
Fast Robot Localization Approach Based on Manifold Regularization with Sparse Area Features
Deep Neural Approaches to Relation Triplets Extraction: a Comprehensive Survey
Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke
Uncovering the Secrets of the Concept of Place in Cognitive Maps Aided by Artificial Intelligence
Cognitively Inspired 6D Motion Estimation of a Noncooperative Target Using Monocular RGB-D Images
Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography
CT Radiomic Features and Clinical Biomarkers for Predicting Coronary Artery Disease
Non-linear Domain Adaptation in Transfer Evolutionary Optimization
EPDTNet + -EM: Advanced Transfer Learning and SubNet Architecture for Medical Image Diagnosis
Emotional Human-Machine Conversation Generation Based on Long Short-Term Memory
Assessing the Potential of Data Augmentation in EEG Functional Connectivity for Early Detection of Alzheimer's Disease
Trustworthy Artificial Intelligence Based on an Explicable Temporal Feature Network for Industrial Fault Diagnosis
Context-Aware Prediction with Secure and Lightweight Cognitive Decision Model in Smart Cities
A Cognitive Ensemble of Extreme Learning Machines for Steganalysis Based on Risk-Sensitive Hinge Loss Function
Modeling Emotion, Behavior and Context in Socially Believable Robots and ICT Interfaces
A Cognitively Inspired System Architecture for the Mengshi Cognitive Vehicle
TEGAN: Transformer Embedded Generative Adversarial Network for Underwater Image Enhancement
Multiple Attribute Decision Making Based on Power Muirhead Mean Operators Under 2-Tuple Linguistic Pythagorean Fuzzy Environment
Biased Competition in Visual Processing Hierarchies: A Learning Approach Using Multiple Cues
Biological Neuron Coding Inspired Binary Word Embeddings
An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network
A Novel Saliency Prediction Method Based on Fast Radial Symmetry Transform and Its Generalization
Correction to: Clustering Ensemble Based on Sample's Certainty
Medivision: Empowering Colorectal Cancer Diagnosis and Tumor Localization Through Supervised Learning Classifications and Grad-CAM Visualization of Medical Colonoscopy Images
A Multi-task Shared Cascade Learning for Aspect Sentiment Triplet Extraction Using BERT-MRC
Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors
Binary Chimp Optimization Algorithm (BChOA): a New Binary Meta-heuristic for Solving Optimization Problems
Cognitive Computing and Rule Extraction in Generalized One-sided Formal Contexts
Quantized Control Design for Coupled Dynamic Networks with Communication Constraints
Forecasting Tourist Arrivals via Random Forest and Long Short-term Memory
Optimizing Echo State Networks for Static Pattern Recognition
A Novel Depth-Connected Region-Based Convolutional Neural Network for Small Defect Detection in Additive Manufacturing
Human Brain Function in Path Planning: a Task Study
Granular Computing Techniques for Classification and Semantic Characterization of Structured Data
Robust Visual Saliency Optimization Based on Bidirectional Markov Chains
Cognitive Insights into Sentic Spaces Using Principal Paths
Towards Efficient Recurrent Architectures: A Deep LSTM Neural Network Applied to Speech Enhancement and Recognition
Emoji Helps! A Multi-modal Siamese Architecture for Tweet User Verification
Tensorized Anchor Graph Learning for Large-scale Multi-view Clustering
A New Hand Image Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums
Biologically Inspired Tensor Features
UAV Landing Platform Recognition Using Cognitive Computation Combining Geometric Analysis and Computer Vision Techniques
Graph Convolutional Network Based on Manifold Similarity Learning
Improving Medical Image Classification with Segmentation-Driven Ensemble Machine Learning
Meta-KANSEI Modeling with Valence-Arousal fMRI Dataset of Brain
Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach
Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications
An Online Sequential Learning Non-parametric Value-at-Risk Model for High-Dimensional Time Series
Super-Graph Classification Based on Composite Subgraph Features and Extreme Learning Machine
Online Extreme Learning Machine with Hybrid Sampling Strategy for Sequential Imbalanced Data