yusuke1997/dblp-id-title huggingface dataset:
Generative Adversarial Network-Assisted Framework for Power Management
Non-Classical Connectionist Models of Visual Object Recognition
An Interval Neutrosophic Projection-Based VIKOR Method for Selecting Doctors
Bio-inspired Multi-Sensory Pathway Network for Change Detection
Improving Neural Machine Translation Model with Deep Encoding Information
Person Re-identification with Spatial Multi-granularity Feature Exploration for Social Risk Situational Assessment
Multiple Attribute Decision-Making with Dual Hesitant Pythagorean Fuzzy Information
Deep Feature Disentanglement for Supervised Contrastive Learning: Application to Image Classification
Centroid Coordinate Ranking of Pythagorean Fuzzy Numbers and its Application in Group Decision Making
CLASS: Collaborative Low-Rank and Sparse Separation for Moving Object Detection
From Neuroelectrodynamics to Thinking Machines
Causal Asymmetry Analysis in the View of Concept-Cognitive Learning by Incremental Concept Tree
A Novel Near-Infrared Spectroscopy Based Spatiotemporal Cognition Study of the Human Brain Using Clustering
Voice Quality Modification Using a Harmonics Plus Noise Model - Transferring Vocal Effort with Parallel Corpora
The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry
Constructing Three-Way Decision of Rough Fuzzy Sets from the Perspective of Uncertainties
Children's Emotion Recognition from Spontaneous Speech Using a Reduced Set of Acoustic and Linguistic Features
Applying Attention-Based Models for Detecting Cognitive Processes and Mental Health Conditions
An Efficient Medical Assistive Diagnostic Algorithm for Visualisation of Structural and Tissue Details in CT and MRI Fusion
Anatomy of the Mind: a Quick Overview
Video Summarization Using Knowledge Distillation-Based Attentive Network
Using Neural Networks and Self-Organizing Maps for Image Connecting
Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization
Multi-view Hierarchical Graph Neural Network for Argumentation Mining
Online Shopping Behavior Study Based on Multi-granularity Opinion Mining: China Versus America
A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset
A Review on Feature Binding Theory and Its Functions Observed in Perceptual Process
Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection
Bivariate Nonisotonic Statistical Regression by a Lookup Table Neural System
A Multi-attention Triple Decoder Deep Convolution Network for Breast Cancer Segmentation Using Ultrasound Images
Moral Judgment, Human Motivation, and Neural Networks
Motor Imagery Classification Based on Temporal-Spatial Domain Adaptation for Stroke Patients
Affordance Estimation Enhances Artificial Visual Attention: Evidence from a Change-Blindness Study
Triangular Fuzzy Neutrosophic Preference Relations and Their Application in Enterprise Resource Planning Software Selection
A Biologically-Inspired Sparse Self-Representation Approach for Projected Fuzzy Double C-Means Clustering
A Novel Multi-modality Deepfake Detection Using Cross-Model Fusion-Based Hybrid Harris Whale Depth-Wise Separable Dense Convolutional Bi-GRU Deepfake Model
Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening
Robust Synchronization of Stochastic Markovian Jumping CVNs with Randomly Occurring Nonlinearities and Generally Uncertain Transition Rates
Three-Way Decision Models Based on Multi-granulation Rough Intuitionistic Hesitant Fuzzy Sets
Neurodynamical Computing at the Information Boundaries of Intelligent Systems
Multi-Granulation-Based Graphical Analytics of Three-Way Bipolar Neutrosophic Contexts
Analyzing Connections Between User Attributes, Images, and Text
PrimeNet: A Framework for Commonsense Knowledge Representation and Reasoning Based on Conceptual Primitives
Dual Hesitant Fuzzy Soft Aggregation Operators and Their Application in Decision-Making
Real-time Audio Processing with a Cascade of Discrete-Time Delay Line-Based Reservoir Computers
EEG-Based Emotion Classification Driven by Fuzzy Linguistic Summarization: A Study on SEED Dataset
Lane Boundary Detection Algorithm Based on Vector Fuzzy Connectedness
The "Where" and "Who" in Brain Science: Probing Brain Networks with Local Perturbations
A Novel Approach for Tuning of Fluidic Resistance in Deterministic Lateral Displacement Array for Enhanced Separation of Circulating Tumor Cells
Mutuality in Discrete and Compositional Information: Perspectives for Synthetic Genetic Codes
Functional Brain Network Classification for Alzheimer's Disease Detection with Deep Features and Extreme Learning Machine
Improved Reversible Image Authentication Scheme
Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction
A Novel Interpretable Graph Convolutional Neural Network for Multimodal Brain Tumor Segmentation
Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering
Surface Material Recognition Using Active Multi-modal Extreme Learning Machine
Combining Non-negative Matrix Factorization and Sparse Coding for Functional Brain Overlapping Community Detection
Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching
Flexible Latching: A Biologically-Inspired Mechanism for Improving the Management of Homeostatic Goals
Cognitive Computation Special Issue on Cognitive Behavioural Systems
H-MRST: A Novel Framework For Supporting Probability Degree Range Query Using Extreme Learning Machine
A Dynamic Neural Field Approach to the Covert and Overt Deployment of Spatial Attention
Tumor Localization and Classification from MRI of Brain using Deep Convolution Neural Network and Salp Swarm Algorithm
Cognitive Computation with Autonomously Active Neural Networks: An Emerging Field
SSDM2: a Two-Stage Semantic Sequential Dependence Model Framework for Biomedical Question Answering
Improving Zero-Shot Learning Baselines with Commonsense Knowledge
Imbalanced Heart Sound Signal Classification Based on Two-Stage Trained DsaNet
An Interpretable Neuro-symbolic Model for Raven's Progressive Matrices Reasoning
Multidimensional Affective Analysis for Low-Resource Languages: A Use Case with Guarani-Spanish Code-Switching Language
A Survey on Sentiment Analysis in Persian: a Comprehensive System Perspective Covering Challenges and Advances in Resources and Methods
A Cognitively Inspired Approach to Two-Way Cluster Extraction from One-Way Clustered Data
Special Issue on Advanced Cognitive Systems Based on Nonlinear Analysis
A Novel Weighted Averaging Operator of Linguistic Interval-Valued Intuitionistic Fuzzy Numbers for Cognitively Inspired Decision-Making
Prediction of Cognitive Test Scores from Variable Length Multimodal Data in Alzheimer's Disease
Pythagorean Fuzzy Multi-Criteria Decision Making Method Based on Multiparametric Similarity Measure
Erratum to: Image Fusion by Hierarchical Joint Sparse Representation
Does Deep Learning Have Epileptic Seizures? On the Modeling of the Brain
Multiple Model-Based Control Using Finite Controlled Markov Chains
A Primal Neural Network for Online Equality-Constrained Quadratic Programming
A Computational Cognitive Model of Information Search in Textual Materials
A New Risk-Based Fuzzy Cognitive Model and Its Application to Decision-Making
A Handwriting-Based Protocol for Assessing Neurodegenerative Dementia
Consciousness Versus Attention
A Hybrid Approach for Arabic Text Summarization Using Domain Knowledge and Genetic Algorithms
Sentic Album: Content-, Concept-, and Context-Based Online Personal Photo Management System
Short-Term Power Load Forecasting in City Based on ISSA-BiTCN-LSTM
Detection of Sociolinguistic Features in Digital Social Networks for the Detection of Communities
Re-Thinking the Organization of Cortico-Basal Ganglia-Thalamo-Cortical Loops
Understanding Laughter in Dialog
Multi-view Clustering with Latent Low-rank Proxy Graph Learning
Experimental Case Studies for Investigating E-Banking Phishing Techniques and Attack Strategies
Multi-branch Bounding Box Regression for Object Detection
Role of Artificial Intelligence Techniques and Neuroimaging Modalities in Detection of Parkinson's Disease: A Systematic Review
Guest Editorial: A Decade of Sentic Computing
First Words Learning: A Cortical Model
A Novel Functional Link Network Stacking Ensemble with Fractal Features for Multichannel Fall Detection
Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus
Cognitively Inspired Artificial Bee Colony Clustering for Cognitive Wireless Sensor Networks
Mining Big Data with Random Forests
Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
A Novel Visual-Textual Sentiment Analysis Framework for Social Media Data
A Bibliometric Study and Science Mapping Research of Intelligent Decision
In Memory of John G. Taylor: A Polymath Scholar
The Antagonistic Alterations of Cerebellar Functional Segregation and Integration in Athletes with Fast Demands of Visual-Motor Coordination
Brain Age Estimation Using Universum Learning-Based Kernel Random Vector Functional Link Regression Network
Walk on the Random Side - Hector Zenil (ed): Randomness Through Computation. Some Answers, More Questions, Wolfram research Inc, USA, 2011
Measure Effectiveness of Change-based Three-way Decision Using Utility Theory
A Music Cognition-Guided Framework for Multi-pitch Estimation
Joint Structural Balance Feature Representation on Graph Convolution Networks for Link Prediction
Computer-Aided Diagnosis of Ataxia SCA-2 Using a Blind Source Separation Algorithm
Multi-Keys Attention Network for Image Captioning
A Digital Communication Analysis of Gene Expression of Proteins in Biological Systems: A Layered Network Model View
Multistage Model for Robust Face Alignment Using Deep Neural Networks
Semantic Scene Mapping with Spatio-temporal Deep Neural Network for Robotic Applications
Back to the Roots: Multi-X Evolutionary Computation
Improving Knowledge Learning Through Modelling Students' Practice-Based Cognitive Processes
Multi-task Pruning via Filter Index Sharing: A Many-Objective Optimization Approach
Multi-attribute Cognitive Decision Making via Convex Combination of Weighted Vector Similarity Measures for Single-Valued Neutrosophic Sets
4P Model for Dynamic Prediction of COVID-19: a Statistical and Machine Learning Approach
Incremental Word Vectors for Time-Evolving Sentiment Lexicon Induction
Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data
Aspect-Based Sentiment Analysis for User Reviews
Residual Movement Metrology Network and Transformer-Based Framework for Evaluating Movement Quality
Dense-CaptionNet: a Sentence Generation Architecture for Fine-grained Description of Image Semantics
Artificial Cognitive Systems: From VLSI Networks of Spiking Neurons to Neuromorphic Cognition
A Video Quality Assessment Metric Based on Human Visual System
A Nature-Inspired Hybrid Technique for Interference Reduction in Cognitive Radio Networks
3D Local Spatio-temporal Ternary Patterns for Moving Object Detection in Complex Scenes
Deep Triply Attention Network for RGBT Tracking
Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data
Recognition of Emotional States from EEG Signals with Nonlinear Regularity- and Predictability-Based Entropy Metrics
A Cognitive Medical Decision Support System for IoT-Based Human-Computer Interface in Pervasive Computing Environment
A Weight Importance Analysis Technique for Area- and Power-Efficient Binary Weight Neural Network Processor Design
Cognitively Inspired Three-Way Decision Making and Bi-Level Evolutionary Optimization for Mobile Cybersecurity Threats Detection: A Case Study on Android Malware
Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip
Emotionally Informed Hate Speech Detection: A Multi-target Perspective
Hybrid High-order Brain Functional Networks for Schizophrenia-Aided Diagnosis
Symbolic Faces and Artificial Minds: Evaluating Artificial Intelligence Recognition of Punctuation-Based Face Expressions Using ChatGPT, Claude, and DeepSeek Models
Towards Sentiment-Aware Multi-Modal Dialogue Policy Learning
Hierarchical Visual Perception and Two-Dimensional Compressive Sensing for Effective Content-Based Color Image Retrieval
T-Norms and T-Conorms of Symmetrical Linear Orthopair Fuzzy Sets and Their Cognitive Applications in Multiple-Criteria Decision-Making
A Network-Level Fused DenseInc226 Lightweight Architecture for Alzheimer's Disease Prediction from Magnetic Resonance Imaging
A Transfer Learning-Based CNN Deep Learning Model for Unfavorable Driving State Recognition
Affect Recognition for Multimodal Natural Language Processing
Creativity Through Autonomy and Interaction
An Adaptive Fuzzy Predictive Controller with Hysteresis Compensation for Piezoelectric Actuators
Diagnostic Potential of Eye Movements in Alzheimer's Disease via a Multiclass Machine Learning Model
Feature Analysis Network: An Interpretable Idea in Deep Learning
Information Theoretic Model to Simulate Agent-Signage Interaction for Wayfinding
DomainSenticNet: An Ontology and a Methodology Enabling Domain-Aware Sentic Computing
Modularity in Nervous Systems - a Key to Efficient Adaptivity for Deep Reinforcement Learning
Detecting Multiple Coexisting Emotions in Microblogs with Convolutional Neural Networks
Evolutionary Design of Linguistic Fuzzy Regression Systems with Adaptive Defuzzification in Big Data Environments
A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation
Discriminant Zero-Shot Learning with Center Loss
Developing Prognosis Tools to Identify Learning Difficulties in Children Using Machine Learning Technologies
A Hybrid Vigilance Monitoring Study for Mental Fatigue and Its Neural Activities
A Neuro-Fuzzy Control System Based on Feature Extraction of Surface Electromyogram Signal for Solar-Powered Wheelchair
Interactive Technologies for Autistic Children: A Review
D-WASPAS: Addressing Social Cognition in Uncertain Decision-Making with an Application to a Sustainable Project Portfolio Problem
neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling
Reservoir Computing with an Ensemble of Time-Delay Reservoirs
Cognitively Enhanced Versions of Capuchin Search Algorithm for Feature Selection in Medical Diagnosis: a COVID-19 Case Study
Sentiment Analysis and Topic Mining Using a Novel Deep Attention-Based Parallel Dual-Channel Model for Online Course Reviews
Multi-criteria Group Decision-Making Using Complex p, q-Quasirung Orthopair Fuzzy Sets: Application in the Selection of Renewable Energy Projects for Investments
Recognizing Emotion Cause in Conversations
Daniel D. Hutto and Erik Myin: Radicalizing Enactivism: Basic Minds without Content - MIT Press
A Novel Unsupervised Spatial-Temporal Learning Mechanism in a Bio-inspired Spiking Neural Network
DCTGM: A Novel Dual-channel Transformer Graph Model for miRNA-disease Association Prediction
An eXplainable Artificial Intelligence Methodology on Big Data Architecture
Lightweight 3D Convolutional Neural Network for Schizophrenia Diagnosis Using MRI Images and Ensemble Bagging Classifier
A Perceptual Visual Feature Extraction Method Achieved by Imitating V1 and V4 of the Human Visual System
DisTrack: A New Tool For Semi-automatic Misinformation Tracking in Online Social Networks
Deep Learning Based Traffic Prediction Method for Digital Twin Network
Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm
Diagnosis of Alzheimer's Disease Via Machine Learning Approaches with Integrated Resting-State EEG and ERP Characteristics
Graph-Based Interactive Matching for Pairs of News Articles
Travel Time Functions Prediction for Time-Dependent Networks
A No-Reference Image Quality Measure for Blurred and Compressed Images Using Sparsity Features
An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features
Doctor Recommendation Based on an Intuitionistic Normal Cloud Model Considering Patient Preferences
Neural Network-Based Adaptive Containment Control Algorithms Design for Nonlinear Multiagent Systems with Switching Topologies
Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors
Emotion: A Unified Mechanistic Interpretation from a Cognitive Architecture
Online Training for High-Performance Analogue Readout Layers in Photonic Reservoir Computers
Why Should We Add Early Exits to Neural Networks?
Multispectral Image Quality Improvement Based on Global Iterative Fusion Constrained by Meteorological Factors
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge
Sequentially Supervised Long Short-Term Memory for Gesture Recognition
Social Integration of Artificial Intelligence: Functions, Automation Allocation Logic and Human-Autonomy Trust
A Framework for Building an Arabic Multi-disciplinary Ontology from Multiple Resources
Cognitively Inspired Multi-attribute Decision-making Methods Under Uncertainty: a State-of-the-art Survey
CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images
A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection
SPS Vision Net: Measuring Sensory Processing Sensitivity via an Artificial Neural Network
One-shot Cluster-Based Approach for the Detection of COVID-19 from Chest X-ray Images
Convolutionary, Evolutionary, and Revolutionary: What's Next for Brains, Bodies, and AI?
Semantic Category-Based Classification Using Nonlinear Features and Wavelet Coefficients of Brain Signals
HLAE: Hierarchical Local Attention Encoder for MRI Brain Tumor Image Classification
Isomorphic Relationship Between $\mathbf {L}$-three-way Concept Lattices
BLISS: an Artificial Language for Learnability Studies
Classification of Music-Induced Emotions Based on Information Fusion of Forehead Biosignals and Electrocardiogram
Fuzzy Aggregated Topology Evolution for Cognitive Multi-tasks
Deep, Flexible Data Embedding with Graph-Based Feature Propagation for Semi-supervised Classification
A New Point-of-Interest Classification Model with an Extreme Learning Machine
Online Handwriting, Signature and Touch Dynamics: Tasks and Potential Applications in the Field of Security and Health
Dynamical Bifurcations in a Fractional-Order Neural Network with Nonidentical Communication Delays
Region-Enhanced Multi-layer Extreme Learning Machine
Creativity and Autonomy in Swarm Intelligence Systems
Dynamic Gesture Recognition Based on Deep 3D Natural Networks
An Air Combat Decision Learning System Based on a Brain-Like Cognitive Mechanism
Scaffold-A549: A Benchmark 3D Fluorescence Image Dataset for Unsupervised Nuclei Segmentation
A Neutrosophic VIKOR Method-Based Decision-Making with an Improved Distance Measure and Score Function: Case Study of Selection for Renewable Energy Alternatives
Generator-based Domain Adaptation Method with Knowledge Free for Cross-subject EEG Emotion Recognition
Fuzzy Preference Completion with Ranked and Unranked Preferences
A Novel Heuristic Exploration Method Based on Action Effectiveness Constraints to Relieve Loop Enhancement Effect in Reinforcement Learning with Sparse Rewards
Multi-source Adversarial Domain Adaptive Fault Diagnosis Method Based on Multi-classifier Alignment
Semantic Image Segmentation Method with Multiple Adjacency Trees and Multiscale Features
Acidity. The Hidden Face of Conflictual and Stressful Situations
Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition
Deep Learning and Attention-Based Methods for Human Activity Recognition and Anticipation: A Comprehensive Review
FF-UNet: a U-Shaped Deep Convolutional Neural Network for Multimodal Biomedical Image Segmentation
Bidirectional Cognitive Computing Model for Uncertain Concepts
Novel Biologically Inspired Approaches to Extracting Online Information from Temporal Data
An Improved Deep Polynomial Network Algorithm for Transcranial Sonography-Based Diagnosis of Parkinson's Disease
Ensemble of Deep Neural Networks with Probability-Based Fusion for Facial Expression Recognition
A Novel Ship Target Detection Algorithm Based on Error Self-adjustment Extreme Learning Machine and Cascade Classifier
Investigating Gender Bias in BERT
A Novel Approach for EEG Electrode Selection in Automated Emotion Recognition Based on Lagged Poincare's Indices and sLORETA
Investigating the Influence of Scene Video on EEG-Based Evaluation of Interior Sound in Passenger Cars
Rising Star Evaluation Based on Extreme Learning Machine in Geo-Social Networks
Supervised Learning and Codebook Optimization for Bag-of-Words Models
Linguistic Interval-Valued Pythagorean Fuzzy Sets and Their Application to Multiple Attribute Group Decision-making Process
A Multiscale Hierarchical Threshold-Based Completed Local Entropy Binary Pattern for Texture Classification
Fast Learning Mapping Schemes for Robotic Hand-Eye Coordination
A Cognitively Inspired Hybridization of Artificial Bee Colony and Dragonfly Algorithms for Training Multi-layer Perceptrons
Multi-View Cooperative Learning with Invariant Rationale for Document-Level Relation Extraction
Searching the Hyper-heuristic Design Space
Shaping Emotions in Negotiation: a Nash Bargaining Solution
Reinforcement Learning for Human-AI Collaboration: Challenges, Mechanisms, and Methods
Echo State Networks and Long Short-Term Memory for Continuous Gesture Recognition: a Comparative Study
NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition
Investigation of Scalograms with a Deep Feature Fusion Approach for Detection of Parkinson's Disease
Customer-Perceived Value and Social Media Analytics: How Supplier Evaluation Can Benefit from Aspect-Based Sentiment Analysis and Fuzzy Inference
Can Quantum Entanglement Between Ion Transition States Effect Action Potential Initiation?
Cognitively Inspired Group Decision-Making with Linguistic q-Rung Orthopair Fuzzy Preference Relations
Neuromorphic Cognitive Learning Systems: The Future of Artificial Intelligence?
Heterogeneous Graph Network Embedding for Sentiment Analysis on Social Media
Organization and Priming of Long-term Memory Representations with Two-phase Plasticity
An Integrated Deep Learning and Belief Rule Base Intelligent System to Predict Survival of COVID-19 Patient under Uncertainty
Region-Based Artificial Visual Attention in Space and Time
Disturbance Observer-Based Control: Weighted Aggregated Aczel-Alsina Sum Product Assessment Based on Power Operators for Managing Fuzzy 2-Tuple Linguistic Neural Networks
Novel Optimization Framework to Recover True Image Data
Intelligent Robotic Path Planning Based on SPIDI-Lion Optimization Algorithm Using Deep Spectral LSTM-Gated Convolution Neural Network
SLT-Based ELM for Big Social Data Analysis
Counting Pedestrian with Mixed Features and Extreme Learning Machine
Improved Convolutive and Under-Determined Blind Audio Source Separation with MRF Smoothing
BrainEnsemble: A Brain-Inspired Effective Ensemble Pruning Algorithm for Pattern Classification
A Functional and Statistical Bottom-Up Saliency Model to Reveal the Relative Contributions of Low-Level Visual Guiding Factors
Commentary on "On Intuitionistic Fuzzy Copula Aggregation Operators in Multiple-Attribute Decision Making"
Observer-Based Stabilization Control of Time-Delay T-S Fuzzy Systems via the Non-Uniform Delay Partitioning Approach
Human Pose and Path Estimation from Aerial Video Using Dynamic Classifier Selection
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss
Dolphin Swarm Extreme Learning Machine
XCR-1: An Experimental Cognitive Robot Based on an Associative Neural Architecture
Probabilistic Belief Embedding for Large-Scale Knowledge Population
A Structural Topic Modeling-Based Bibliometric Study of Sentiment Analysis Literature
Three-Way Image Classification with Evidential Deep Convolutional Neural Networks