yusuke1997/dblp-id-title huggingface dataset:
A Hybrid Loop Closure Detection Method Based on Brain-Inspired Models
Learning 4-D Spatial Representations Through Perceptual Experience With Hypercubes
Logistic Regression With Tangent Space-Based Cross-Subject Learning for Enhancing Motor Imagery Classification
Computational Modeling of Embodied Visual Perspective Taking
Designing Interactions for Robot Active Learners
Interaction Is Worth More Explanations: Improving Human-Object Interaction Representation With Propositional Knowledge
Special Issue on Emerging Topics on Development and Learning
DisTop: Discovering a Topological Representation to Learn Diverse and Rewarding Skills
Understanding Object Weight from Human and Humanoid Lifting Actions
Spatiotemporal Relationship Cognitive Learning for Multirobot Air Combat
Attention-Based Video Hashing for Large-Scale Video Retrieval
Evaluating the Tradeoff Between Analogical Reasoning Ability and Efficiency in Large Language Models
A Predictive Coding Account for Cognition in Human Children and Chimpanzees: A Case Study of Drawing
Yielding Self-Perception in Robots Through Sensorimotor Contingencies
Exploration With Intrinsic Motivation Using Object-Action-Outcome Latent Space
Priors, Progressions, and Predictions in Science Learning: Theory-Based Bayesian Models of Children's Revising Beliefs of Water Displacement
Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding Into Text
A Brain-Inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event Based-Recognition
Quantifying Gaze Behavior During Real-World Interactions Using Automated Object, Face, and Fixation Detection
R-IAC: Robust Intrinsically Motivated Exploration and Active Learning
Online Algorithm for Robots to Learn Object Concepts and Language Model
JLCSR: Joint Learning of Compactness and Separability Representations for Few-Shot Classification
BND*-DDQN: Learn to Steer Autonomously Through Deep Reinforcement Learning
Disentangled Adversarial Generalization Network for Cross-Session Task-Independent Brainprint Recognition
3D_DEN: Open-Ended 3-D Object Recognition Using Dynamically Expandable Networks
Toward Emerging Cubic-Spline Patterns With a Mobile Robotics Swarm System
Guest Editorial A Sense of Interaction in Humans and Robots: From Visual Perception to Social Cognition
Episodic-Like Memory for Cognitive Robots
Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning
Brain Biometrics of Steady-State Visual Evoked Potential Functional Networks
Closed-Form Control With Spike Coding Networks
Guest Editorial Special Issue on Cognitive Learning of Multiagent Systems
A Logic-Based Computational Framework for Inferring Cognitive Affordances
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition
Long-Term and Short-Term Opponent Intention Inference for Football Multiplayer Policy Learning
Residual GCB-Net: Residual Graph Convolutional Broad Network on Emotion Recognition
Toward Lifelong Affordance Learning Using a Distributed Markov Model
Using the Humanoid Robot KASPAR to Autonomously Play Triadic Games and Facilitate Collaborative Play Among Children With Autism
Two Heads Are Better Than One: Collaboration-Oriented Multiagent Exploration System
Real-Time Myocontrol of a Human-Computer Interface by Paretic Muscles After Stroke
Shallow Inception Domain Adaptation Network for EEG-Based Motor Imagery Classification
Parallel Self-Attention and Spatial-Attention Fusion for Human Pose Estimation and Running Movement Recognition
Developmental Stereo: Emergence of Disparity Preference in Models of the Visual Cortex
Investigation of Local White Matter Properties in Professional Chess Player: A Diffusion Magnetic Resonance Imaging Study Based on Automatic Annotation Fiber Clustering
A Two-Stream Neural Network for Pose-Based Hand Gesture Recognition
UAV Coverage Path Planning of Multiple Disconnected Regions Based on Cooperative Optimization Algorithms
A Neurodynamic-Diversity-Based Spiking Network Model for Text Classification
Epigenetic Robotics Architecture (ERA)
Pixel-Level Domain Adaptation for Real-to-Sim Object Pose Estimation
Dogs as Behavior Models for Companion Robots: How Can Human-Dog Interactions Assist Social Robotics?
SpikingViT: A Multiscale Spiking Vision Transformer Model for Event-Based Object Detection
Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation
In Situ Learning in Hardware Compatible Multilayer Memristive Spiking Neural Network
Goal-Directed Tactile Exploration for Body Model Learning Through Self-Touch on a Humanoid Robot
Social Reinforcement in Artificial Prelinguistic Development: A Study Using Intrinsically Motivated Exploration Architectures
pFedEff: An Efficient and Personalized Federated Cognitive Learning Framework in Multiagent Systems
Object Learning Through Active Exploration
A Unified Account of Gaze Following
From State Transitions to Sensory Regularity: Structuring Uninterpreted Sensory Signals From Naive Sensorimotor Experiences
Emergence of Human Oculomotor Behavior in a Cable-Driven Biomimetic Robotic Eye Using Optimal Control
Conditional Generative Adversarial Networks for Optimal Path Planning
Skill Learning Strategy Based on Dynamic Motion Primitives for Human-Robot Cooperative Manipulation
Asymmetric Spatiotemporal Online Learning for Deep Spiking Neural Networks
Reconfiguration of Cognitive Control Networks During a Long-Duration Flanker Task
Neural Manifold Modulated Continual Reinforcement Learning for Musculoskeletal Robots
Guest Editorial Special Issue on Prediction and Perception in Humans and Robots
Adaptability of Tacit Learning in Bipedal Locomotion
Automated Identification of the Retinogeniculate Visual Pathway Using a High-Dimensional Tractography Atlas
Memory Mechanisms for Discriminative Visual Tracking Algorithms With Deep Neural Networks
Epileptic Signal Classification With Deep EEG Features by Stacked CNNs
Integration of Active Vision and Reaching From a Developmental Robotics Perspective
Improving Object Detection Performance Using Scene Contextual Constraints
Learning for Goal-Directed Actions Using RNNPB: Developmental Change of "What to Imitate"
Pretrained Dynamics Learning of Numerous Heterogeneous Robots and Gen2Real Transfer
UAC: Offline Reinforcement Learning With Uncertain Action Constraint
Weighted Ensemble of Deep Convolution Neural Networks for Single-Trial Character Detection in Devanagari-Script-Based P300 Speller
Understanding Decisions in Collective Risk Social Dilemma Games Using Reinforcement Learning
Regulating Temporal Neural Coding via Fast and Slow Synaptic Dynamics
A Gesture Recognition System Based on Time Domain Features and Linear Discriminant Analysis
Vision-and-Language Navigation Based on Cross-Modal Feature Fusion in Indoor Environment
A Novel Multiscale Dilated Convolution Neural Network With Gating Mechanism for Decoding Driving Intentions Based on EEG
Memristor-Based Circuit of Sequential Associative Memory With Memory Interactions and Stimulus Similarity Effect
Building a Spiking Neural Network Model of the Basal Ganglia on SpiNNaker
Action Augmented Real Virtuality: A Design for Presence
Flexible Behavioral Decision Making of Mobile Robot in Dynamic Environment
Biologically Inspired Motion Modeling and Neural Control for Robot Learning From Demonstrations
Are Robots Appropriate for Troublesome and Communicative Tasks in a City Environment?
Guest Editorial Multimodal Modeling and Analysis Informed by Brain Imaging - Part 1
Spatial Concept Acquisition for a Mobile Robot That Integrates Self-Localization and Unsupervised Word Discovery From Spoken Sentences
Deep Learning to Interpret Autism Spectrum Disorder Behind the Camera
CCANet: Cross-Modality Comprehensive Feature Aggregation Network for Indoor Scene Semantic Segmentation
A Multiple Context Brain for Experiments With Robot Consciousness
Editorial Board Update
A Reinforcement Learning Method Using Multifunctional Principal Component Analysis for Human-Like Grasping
Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition
VRDriving: A Virtual-to-Real Autonomous Driving Framework Based on Adversarial Learning
Adaptive Spatiotemporal Representation Learning for Skeleton-Based Human Action Recognition
HAIN: Multilabel Classification With Hierarchical Attention-Based Interaction Network for Multiturn Dialogue Texts
BCI-Controlled Assistive Manipulator: Developed Architecture and Experimental Results
Ecological Active Vision: Four Bioinspired Principles to Integrate Bottom-Up and Adaptive Top-Down Attention Tested With a Simple Camera-Arm Robot
A Compressed Sensing Network for Acquiring Human Pressure Information
Quantifying the Role of Vocabulary Knowledge in Predicting Future Word Learning
Accurate and Fast Deep Evolutionary Networks Structured Representation Through Activating and Freezing Dense Networks
Adaptation Through Prediction: Multisensory Active Inference Torque Control
GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning
Infomax Control of Eye Movements
Uncertainty Modeling for Multicenter Autism Spectrum Disorder Classification Using Takagi-Sugeno-Kang Fuzzy Systems
Adversarial Decision Making Against Intelligent Targets in Cooperative Multiagent Systems
A Two-Stage Foveal Vision Tracker Based on Transformer Model
Sensorimotor Integration: A Review of Neural and Computational Models and the Impact of Parkinson's Disease
Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems
An End-to-End Mammogram Diagnosis: A New Multi-Instance and Multiscale Method Based on Single-Image Feature
D-FaST: Cognitive Signal Decoding With Disentangled Frequency-Spatial-Temporal Attention
When Object Color Is a Red Herring: Extraneous Perceptual Information Hinders Word Learning via Referent Selection
Human Behavior-Based Target Tracking With an Omni-Directional Thermal Camera
A Novel Robotic Guidance System With Eye-Gaze Tracking Control for Needle-Based Interventions
Electroencephalography Connectivity Assesses Cognitive Disorders of Autistic Children During Game-Based Social Interaction
Effect of Rhythmic and Nonrhythmic Brain Activity on Power Spectral Analysis in Children With Attention Deficit Hyperactivity Disorder
Abnormal Event Detection From Videos Using a Two-Stream Recurrent Variational Autoencoder
Extending Human-Robot Relationships Based in Music With Virtual Presence
Mapping Language to Vision in a Real-World Robotic Scenario
Location-Guided Head Pose Estimation for Fisheye Image
Dynamic Distribution Alignment With Dual-Subspace Mapping for Cross-Subject Driver Mental State Detection
An Efficient Unified Approach Using Demonstrations for Inverse Reinforcement Learning
Automatic Object Searching and Behavior Learning for Mobile Robots in Unstructured Environment by Deep Belief Networks
Biomimetic Spiking Neural Network Based on Monolayer 2-D Synapse With Short-Term Plasticity for Auditory Brainstem Processing
EEG Decoding Based on Normalized Mutual Information for Motor Imagery Brain-Computer Interfaces
Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory"
Modeling the Co-Emergence of Linguistic Constructions and Action Concepts: The Case of Action Verbs
Detecting Alzheimer's Dementia Degree
Optimal Strategies and Cooperative Teaming for 3-D Multiplayer Reach-Avoid Games
Emergent Structuring of Interdependent Affordance Learning Tasks Using Intrinsic Motivation and Empirical Feature Selection
Multiagent Multiobjective Decision Making and Game for Saving Public Resources
Nonparametric Bayesian Double Articulation Analyzer for Direct Language Acquisition From Continuous Speech Signals
Noninvasive Brain Imaging and Stimulation in Post-Stroke Motor Rehabilitation: A Review
Bridging the Gap: Cognitive Science Perspectives and Artificial Intelligence for Prediction and Detection of Specific Learning Disabilities
A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot
A Behavioral Decision-Making Model of Learning and Memory for Mobile Robot Triggered by Curiosity
A Distributed Dynamic Framework to Allocate Collaborative Tasks Based on Capability Matching in Heterogeneous Multirobot Systems
Effective Brain Connectivity for fNIRS With Fuzzy Cognitive Maps in Neuroergonomics
PAU-Net: Privileged Action Unit Network for Facial Expression Recognition
A Neural Dynamic Network Drives an Intentional Agent That Autonomously Learns Beliefs in Continuous Time
A Squeeze-and-Excitation and Transformer-Based Cross-Task Model for Environmental Sound Recognition
Predicting Spike Trains from PMd to M1 Using Discrete Time Rescaling Targeted GLM
Grounding Language in Action
Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing
A Bio-Inspired Cognitive Agent for Autonomous Urban Vehicles Routing Optimization
Brain Network Reorganization in Response to Multilevel Mental Workload in Simulated Flight Tasks
MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning
GENet: A Generic Neural Network for Detecting Various Neurological Disorders From EEG
Reaching for the Unreachable: Reorganization of Reaching with Walking
Mixture Distribution Graph Network for Few Shot Learning
High-Quality Auditory Brainstem Response Acquisition in Motion via Adaptive Kalman Filtering
Fisher Regularized ε-Dragging for Image Classification
Estimation of the Cyclopean Eye From Binocular Smooth Pursuit Tests
Project R-CASTLE: Robotic-Cognitive Adaptive System for Teaching and Learning
Integrating Human Intention into Multirobot Decision Making via Brain-Computer Interface Enabled Shared Autonomy
A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation
Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development
C-GRAIL: Autonomous Reinforcement Learning of Multiple and Context-Dependent Goals
Diagnosis of Multiple Sclerosis Using Graph-Theoretic Measures of Cognitive-Task-Based Functional Connectivity Networks
Graph-Based Information Separator and Area Convolutional Network for EEG-Based Intention Decoding
CLARE: Cognitive Load Assessment in Real-Time With Multimodal Data
Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion
BitSNNs: Revisiting Energy-Efficient Spiking Neural Networks
From Infant Brains to Robots: A Report From the IEEE International Conference on Development and Learning (ICDL)-International Conference on Epigenetic Robotics (EpiRob) 2011 Conference
Multitask Learning for Object Localization With Deep Reinforcement Learning
Coupling Mobile Brain Imaging and Virtual Reality Omnidirectional Treadmill to Explore Attenuated Situational Awareness During Distracted Walking
Deep Spiking Neural Networks With Binary Weights for Object Recognition
Autonomous Discovery of Motor Constraints in an Intrinsically Motivated Vocal Learner
Neural Encoding for Human Visual Cortex With Deep Neural Networks Learning "What" and "Where"
A Bilateral Teleoperation System With Learning-Based Cognitive Guiding Force
A Robotic Model of Reaching and Grasping Development
Using Humanoid Robots to Obtain High-Quality Motor Imagery Electroencephalogram Data for Better Brain-Computer Interaction
An Efficient Graph Convolution Network for Skeleton-Based Dynamic Hand Gesture Recognition
HDMTK: Full Integration of Hierarchical Decision-Making and Tactical Knowledge in Multiagent Adversarial Games
A Survey on Neuromarketing Using EEG Signals
Reciprocity and Retaliation in Social Games With Adaptive Agents
Resting-State Brain Connectivity via Multivariate EMD in Mild Cognitive Impairment
Hand Movement Recognition and Salient Tremor Feature Extraction With Wearable Devices in Parkinson's Patients
Enhanced Robotic Hand-Eye Coordination Inspired From Human-Like Behavioral Patterns
Deep Multiinstance Mammogram Classification With Region Label Assignment Strategy and Metric-Based Optimization
Artificial Life Environment Modeled by Dynamic Fuzzy Cognitive Maps
An Overview of Brain Fingerprint Identification Based on Various Neuroimaging Technologies
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation
Where To Learn: Embodied Perception Learning Planned by Vision-Language Models
Clustering Based on Eye Tracking Data for Depression Recognition
SEED Framework of Early Language Development: The Dynamic Coupling of Infant-Caregiver Perceiving and Acting Forms a Continuous Loop during Interaction
Computational Modeling of Emotion-Motivated Decisions for Continuous Control of Mobile Robots
A Reinforcement Learning Architecture That Transfers Knowledge Between Skills When Solving Multiple Tasks
Efficient Dialog Policy Learning With Hindsight, User Modeling, and Adaptation
Joint Linguistic Steganography With BERT Masked Language Model and Graph Attention Network
Assessing Social Competence in Visually Impaired People and Proposing an Interventional Program in Visually Impaired Children
Guest Editorial Special Issue on Affordances
A Multiscale Feature Extraction Network Based on Channel-Spatial Attention for Electromyographic Signal Classification
Recurrent Network Knowledge Distillation for Image Rain Removal
Modeling Brain Diverse and Complex Hemodynamic Response Patterns via Deep Recurrent Autoencoder
Perception of Localized Features During Robotic Sensorimotor Development
A Cognitive Robotics Implementation of Global Workspace Theory for Episodic Memory Interaction With Consciousness
Graph Representation Learning via Contrasting Cluster Assignments
Speech Imagery Decoding Using EEG Signals and Deep Learning: A Survey
AutoSkill: Hierarchical Open-Ended Skill Acquisition for Long-Horizon Manipulation Tasks via Language-Modulated Rewards
Editorial: TAMD Update
Intelligent Prediction Method for Updraft of UAV That Is Based on LSTM Network
Reducing Redundancy of Musculoskeletal Robot With Convex Hull Vertexes Selection
A Human-Vehicle Collaborative Simulated Driving System Based on Hybrid Brain-Computer Interfaces and Computer Vision
Learning Abstract Representations Through Lossy Compression of Multimodal Signals
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
Modeling Task Engagement to Regulate Reinforcement Learning-Based Decoding for Online Brain Control
Distributed Cognitive Learning Strategy for Cooperative-Competitive Multiagent Systems
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives
A Personalized and Platform-Independent Behavior Control System for Social Robots in Therapy: Development and Applications
A Novel Teacher-Assistance-Based Method to Detect and Handle Bad Training Demonstrations in Learning From Demonstration
Scene-Specific Multiple Cues Integration for Multiperson Tracking
Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review
An Encoding Framework With Brain Inner State for Natural Image Identification
Robust Perception-Based Visual Simultaneous Localization and Tracking in Dynamic Environments
LieNet: A Deep Convolution Neural Network Framework for Detecting Deception
Cogno-Vest: A Torso-Worn, Force Display to Experimentally Induce Specific Hallucinations and Related Bodily Sensations
Multimodal Turn-Taking: Motivations, Methodological Challenges, and Novel Approaches
Acquisition of the Head-Centered Peri-Personal Spatial Representation Found in VIP Neuron
Toward Teachable Autotelic Agents
An Improvement Method of Target Tracking Based on Broad Learning System With Scale and Drift Correction
A Trend on Autism Spectrum Disorder Research: Eye Tracking-EEG Correlative Analytics
Optimization of Output Spike Train Encoding for a Spiking Neuron Based on its Spatio-Temporal Input Pattern
Enhancing Overt and Covert Attention Using a Real-Time Neurofeedback Game With Consumer-Grade EEG
Flexible Task Execution and Attentional Regulations in Human-Robot Interaction
Using the Rhythm of Nonverbal Human-Robot Interaction as a Signal for Learning
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
Implicit Sensorimotor Mapping of the Peripersonal Space by Gazing and Reaching
Convolutional-Recurrent Neural Networks With Multiple Attention Mechanisms for Speech Emotion Recognition
Verification of the Effect of an Assembly Skill Transfer Method on Cognition Skills
Machine Unlearning for Seizure Prediction
TR-TransGAN: Temporal Recurrent Transformer Generative Adversarial Network for Longitudinal MRI Dataset Expansion
Deep Multibranch Fusion Residual Network for Insect Pest Recognition
Semantic Segmentation Based on Spatial Pyramid Pooling and Multilayer Feature Fusion
A Comparison Study of Saliency Models for Fixation Prediction on Infants and Adults
Active Information Selection: Visual Attention Through the Hands
A Task-Oriented Deep Learning Approach for Human Localization
Four-Criterion-Optimization-Based Coordination Motion Control of Dual-Arm Robots
Data Augmentation for Seizure Prediction With Generative Diffusion Model
Brain Compensatory Mechanisms During the Prolonged Cognitive Task: fNIRS and Eye-Tracking Study
Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks
Spiking Neural P Systems With Colored Spikes
Brain-Actuated Control of Dual-Arm Robot Manipulation With Relative Motion
From Language to Motor Gavagai: Unified Imitation Learning of Multiple Linguistic and Nonlinguistic Sensorimotor Skills
Understanding Psychological Development in Biological and Artificial Agents: Report on the International Conference on Development and Learning (ICDL 2010)
An Epigenetic Approach to Semantic Categories
DAR-ILL: Double-Attention Refining and Iterative Labeling Learning for Weakly Supervised Object Detection
A Biologically Inspired Behavior Control for the Unexpected Uncertainty With Motivated Developmental Network
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning
Graph Learning With Co-Teaching for EEG-Based Motor Imagery Recognition
Generalized Feature Learning for Detection of Novel Objects
Robotic Homunculus: Learning of Artificial Skin Representation in a Humanoid Robot Motivated by Primary Somatosensory Cortex
Personalized Robot Assistant for Support in Dressing
A Goal-Directed Visual Perception System Using Object-Based Top-Down Attention
Deep Reinforcement Learning With Visual Attention for Vehicle Classification
Deep-Reinforcement-Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks
Zero-Shot Classification Based on Multitask Mixed Attribute Relations and Attribute-Specific Features
A Cerebellum-Inspired Spiking Neural Model With Adapting Rate Neurons
Geometry-Aware Graph Embedding Projection Metric Learning for Image Set Classification
Electroencephalogram Emotion Recognition Based on Dispersion Entropy Feature Extraction Using Random Oversampling Imbalanced Data Processing
A Spike-Based Model of Neuronal Intrinsic Plasticity
User-Aware Multilevel Cognitive Workload Estimation From Multimodal Physiological Signals
Philosophical Specification of Empathetic Ethical Artificial Intelligence
Face Editing Based on Facial Recognition Features
Identity-Expression Dual Branch Network for Facial Expression Recognition
A Robust Gradient-Based Algorithm to Correct Bias Fields of Brain MR Images
Bootstrapping the Semantics of Tools: Affordance Analysis of Real World Objects on a Per-part Basis
Modeling Motor Control in Continuous Time Active Inference: A Survey
Learning to Predict Diverse Stable Placements for Extrinsic Manipulation on a Support Plane
Intersection-Over-Union Similarity-Based Nonmaximum Suppression for Human Pose Estimation in Crowded Scenes
Behavior-Based SSVEP Hierarchical Architecture for Telepresence Control of Humanoid Robot to Achieve Full-Body Movement
Humanoid Tactile Gesture Production using a Hierarchical SOM-based Encoding
Can the Evidence for Explanatory Reasoning Be Explained Away?
Sentiment Cognition From Words Shortlisted by Fuzzy Entropy