yusuke1997/dblp-id-title huggingface dataset:
Blurry Facial-Image Deconvolution via Model-Guided Deep Neural Network Inspired From Edge Regularization
Two Demonstrators Are Better Than One - A Social Robot That Learns to Imitate People With Different Interaction Styles
Performer: A High-Performance Global-Local Model-Augmented With Dual Network Interaction Mechanism
Using Object Affordances to Improve Object Recognition
LITE-SNN: Leveraging Inherent Dynamics to Train Energy-Efficient Spiking Neural Networks for Sequential Learning
HR-SNN: An End-to-End Spiking Neural Network for Four-Class Classification Motor Imagery Brain-Computer Interface
Hierarchical Deep Multitask Learning With the Attention Mechanism for Similarity Learning
Observing and Modeling Developing Knowledge and Uncertainty During Cross-Situational Word Learning
EventAugment: Learning Augmentation Policies From Asynchronous Event-Based Data
Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data
Bootstrapping Relational Affordances of Object Pairs Using Transfer
Visual Sentiment Classification via Low-Rank Regularization and Label Relaxation
Continual Robot Learning Using Self-Supervised Task Inference
Neuromorphically Inspired Appraisal-Based Decision Making in a Cognitive Robot
BaSICNet: Lightweight 3-D Hand Pose Estimation Network Based on Biomechanical Structure Information for Dexterous Manipulator Teleoperation
Open-Ended Continuous Learning of Compound Goals
Robot Fast Adaptation to Changes in Human Engagement During Simulated Dynamic Social Interaction With Active Exploration in Parameterized Reinforcement Learning
Bioinspired Memristive Neural Network Circuit Design of Cross-Modal Associative Memory
BioVision: A Biomimetics Platform for Intrinsically Motivated Visual Saliency Learning
Dialogue Management in Conversational Systems: A Review of Approaches, Challenges, and Opportunities
Second Annual IEEE ICDL and EpiRob 2012: Conference Summary and Report
Alternated Greedy-Step Deterministic Policy Gradient
Design of a Multimodal EEG-based Hybrid BCI System with Visual Servo Module
Editorial Announcing the Title Change of the IEEE Transactions on Autonomous Mental Development in 2016
A Computational Model of Neuroreceptor-Dependent Plasticity (NRDP) Based on Spiking Neural Networks
Multilevel Darwinist Brain (MDB): Artificial Evolution in a Cognitive Architecture for Real Robots
Comparing Word Diversity Versus Amount of Speech in Parents' Responses to Infants' Prelinguistic Vocalizations
Imitation Learning-Based Algorithm for Drone Cinematography System
HMANet: Hyperbolic Manifold Aware Network for Skeleton-Based Action Recognition
Causal Graph Convolutional Neural Network for Emotion Recognition
Robot Multimodal Object Perception and Recognition: Synthetic Maturation of Sensorimotor Learning in Embodied Systems
Heteroscedastic Regression and Active Learning for Modeling Affordances in Humanoids
Performance-Based Iterative Learning Control for Task-Oriented Rehabilitation: A Pilot Study in Robot-Assisted Bilateral Training
Learning Skills From Demonstrations: A Trend From Motion Primitives to Experience Abstraction
Domain Adaptation Techniques for EEG-Based Emotion Recognition: A Comparative Study on Two Public Datasets
Language Does Something: Body Action and Language in Maternal Input to Three-Month-Olds
Progressive Transfer Learning for Dexterous In-Hand Manipulation With Multifingered Anthropomorphic Hand
Leveraging Spatiotemporal Estimation for Online Adaptive Steady-State Visual Evoked Potential Recognition
Multilevel Behavioral Synchronization in a Joint Tower-Building Task
Characteristics-Capturing Neural Dynamics for Solving Time-Dependent Nonlinear Equations With Periodic Noise
Brain-Eye Collaboration Target Detection and Localization in Remote Sensing Image
Probabilistic Computational Neurogenetic Modeling: From Cognitive Systems to Alzheimer's Disease
Automatic Prediction of Disturbance Caused by Interfloor Sound Events
A Wearable Camera Detects Gaze Peculiarities during Social Interactions in Young Children with Pervasive Developmental Disorders
A Hybrid End-to-End Spatiotemporal Attention Neural Network With Graph-Smooth Signals for EEG Emotion Recognition
Prepulse Inhibition and Prestimulus Nonlinear Brain Dynamics in Childhood: A Lyapunov Exponent Approach
Attentional Mechanisms for Socially Interactive Robots-A Survey
Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model
SalDA: DeepConvNet Greets Attention for Visual Saliency Prediction
Bio-Inspired Embedded Vision System for Autonomous Micro-Robots: The LGMD Case
STEG-Net: Spatiotemporal Edge Guidance Network for Video Salient Object Detection
Default Network and Intelligence Difference
Exploring the Mechanisms of Bidirectional Plasticity From Temporal Feature Stimuli in Cerebellar Motor Learning: A Ca 2+ -Mediated Simulation
A Multiple-Attribute Decision-Making Approach to Reinforcement Learning
Behavioral Optimization in a Robotic Serial Reaching Task Using Predictive Information
Visual Place Recognition via a Multitask Learning Method With Attentive Feature Aggregation
Adaptive Multiview Graph Convolutional Network for 3-D Point Cloud Classification and Segmentation
Biologically Inspired Self-Organizing Map Applied to Task Assignment and Path Planning of an AUV System
A Concealed Information Test System Based on Functional Brain Connectivity and Signal Entropy of Audio-Visual ERP
Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics
A Modular Dynamic Sensorimotor Model for Affordances Learning, Sequences Planning, and Tool-Use
Aesthetics Evaluation for Robotic Chinese Calligraphy
Two-Stage Grasp Detection Method for Robotics Using Point Clouds and Deep Hierarchical Feature Learning Network
CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments
LIDA: A Systems-level Architecture for Cognition, Emotion, and Learning
A Computational Developmental Model of Perceptual Learning for Mobile Robot
Interactive Learning in Continuous Multimodal Space: A Bayesian Approach to Action-Based Soft Partitioning and Learning
A Deep Reinforcement Learning Algorithm Suitable for Autonomous Vehicles: Double Bootstrapped Soft-Actor-Critic-Discrete
A Hybrid Brain-Computer Interface Combining P300 Potentials and Emotion Patterns for Detecting Awareness in Patients With Disorders of Consciousness
Multistep-Ahead Chaotic Time Series Prediction Based on Hierarchical Echo State Network With Augmented Random Features
Cognitive Developmental Robotics: A Survey
Symbolic Models and Emergent Models: A Review
Deep-Learning-Based Diagnosis and Prognosis of Alzheimer's Disease: A Comprehensive Review
Evolutionary Fuzzy Integral-Based Gaze Control With Preference of Human Gaze
Learning From Explanations Using Sentiment and Advice in RL
Relation-Aware Facial Expression Recognition
Simultaneous Estimation of Human Motion Intention and Time-Varying Arm Stiffness for Enhanced Human-Robot Interaction
Emergence of Altruistic Behavior Through the Minimization of Prediction Error
Contingency Perception and Agency Measure in Visuo-Motor Spiking Neural Networks
A Spatiotemporal Channel Attention Residual Network With Extended Series Mean Amplitude Spectrum for Epilepsy Detection
A Comparative Study of Value Systems for Self-Motivated Exploration and Learning by Robots
Brain-Inspired Model and Neuromorphic Circuit Implementation for Feature-Affective Associative Memory Network
Guest Editorial Special Issue on Hybrid Brain-Computer Collaborative Intelligent System
A Pyramidal Spatial-Based Feature Attention Network for Schizophrenia Detection Using Electroencephalography Signals
Graph-Theory-Based EEG Source Connectivity for Assessing Biomechanical Performance in Transfemoral Amputees With Vibrotactile Feedback
The Effect of Audio Trigger's Frequency on Autonomous Sensory Meridian Response
A Partially Observable Markov-Decision-Process-Based Blackboard Architecture for Cognitive Agents in Partially Observable Environments
Hierarchical Graph Pooling With Self-Adaptive Cluster Aggregation
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks
Covariate Conscious Approach for Gait Recognition Based Upon Zernike Moment Invariants
Enhancing Integrity Modeling for Emotional Conversation Generation
Autonomous Learning of High-Level States and Actions in Continuous Environments
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations
Deep Reinforcement Learning With Multicritic TD3 for Decentralized Multirobot Path Planning
Buddy System: An Adaptive Mental State Support System Based on Active Inference and Free-Energy Principles
CS-SLAM: A Lightweight Semantic SLAM Method for Dynamic Scenarios
Effect Regulated Projection of Robot's Action Space for Production and Prediction of Manipulation Primitives Through Learning Progress and Predictability-Based Exploration
Deep Construction of an Affective Latent Space via Multimodal Enactment
Efficient Motion Symbol Detection and Multikernel Learning for AER Object Recognition
A Furcated Visual Collision Avoidance System for an Autonomous Microrobot
The Subject-Object Asymmetry Revisited: Experimental and Computational Approaches to the Role of Information Structure in Children's Argument Omissions
Visual Attention for Robotic Cognition: A Survey
Supervised Hyperalignment for Multisubject fMRI Data Alignment
Agree to Disagree: Exploring Partial Semantic Consistency Against Visual Deviation for Compositional Zero-Shot Learning
A Marr-Inspired Framework for Raising "Good" Robots
Cerebellum-Inspired Model Predictive Control for Redundant Manipulators With Unknown Structure Information
Modeling Early Vocal Development Through Infant-Caregiver Interaction: A Review
Context-Based Bayesian Intent Recognition
How Caregiver's Anticipation Shapes Infant's Vowel Through Mutual Imitation
Artificial Cognitive Systems That Can Answer Human Creativity Tests: An Approach and Two Case Studies
Quantifying Cognitive Workload in Simulated Flight Using Passive, Dry EEG Measurements
Distributed Process Monitoring for Multiagent Systems Through Cognitive Learning
Exploration of Subjective Color Perceptual-Ability by EEG-Induced Type-2 Fuzzy Classifiers
Detecting Fatigue Status of Pilots Based on Deep Learning Network Using EEG Signals
Collision-Free Navigation in Human-Following Task Using a Cognitive Robotic System on Differential Drive Vehicles
Are Nonimage Data Really Necessary for Disease Prediction With Graph Convolutional Networks?
Reinforcement-Learning-Based Multi-Unmanned Aerial Vehicle Optimal Control for Communication Services With Limited Endurance
Depression Detection Using an Automatic Sleep Staging Method With an Interpretable Channel-Temporal Attention Mechanism
Building a Sensorimotor Representation of a Naive Agent's Tactile Space
State Augmentation via Self-Supervision in Offline Multiagent Reinforcement Learning
Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set
Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach With EEG, fMRI, and DTI
An Efficient Learning Algorithm for Direct Training Deep Spiking Neural Networks
Bootstrapping Q-Learning for Robotics From Neuro-Evolution Results
DatUS: Data-Driven Unsupervised Semantic Segmentation With Pretrained Self-Supervised Vision Transformer
Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' Actions
Passive Model-Predictive Impedance Control for Safe Physical Human-Robot Interaction
A Multilayer Neural Network Merging Image Preprocessing and Pattern Recognition by Integrating Diffusion and Drift Memristors
One-Pass Online Learning Based on Gradient Descent for Multilayer Spiking Neural Networks
Adaptive Drawing Behavior by Visuomotor Learning Using Recurrent Neural Networks
A Framework of Improving Human Demonstration Efficiency for Goal-Directed Robot Skill Learning
The Inadequacy of Reinforcement Learning From Human Feedback - Radicalizing Large Language Models via Semantic Vulnerabilities
Memristor-Based Circuit Implementations of Recognition Network and Recall Network With Forgetting Stages
Quantized Reservoir Computing for Spectrum Sensing With Knowledge Distillation
Toward Socially Aware Person-Following Robots
Dual-Graph Contrastive Learning for Unsupervised Person Reidentification
Applying a Psychotherapeutic Theory to the Modeling of Affective Intelligent Agents
Bioinspired Visual-Integrated Model for Multilabel Classification of Textile Defect Images
Edge-Centric Functional-Connectivity-Based Cofluctuation-Guided Subcortical Connectivity Network Construction
DTAS: An Adaptive Critical Scenarios Generation Method for Decision Boundary Assessment
The Influence of Robot Traits and Evolutionary Dynamics on the Reality Gap
Diagnosis and Intervention for Children With Autism Spectrum Disorder: A Survey
Optimal Control of Eye Movements During Visual Search
Are We There Yet? Grounding Temporal Concepts in Shared Journeys
A Dissemination Model Based on Psychological Theories in Complex Social Networks
Machine Learning in Robot-Assisted Upper Limb Rehabilitation: A Focused Review
Place Classification With a Graph Regularized Deep Neural Network
Age Effect in Human Brain Responses to Emotion Arousing Images: The EEG 3D-Vector Field Tomography Modeling Approach
Six-Dimensional Target Pose Estimation for Robot Autonomous Manipulation: Methodology and Verification
Reactive Task Adaptation of a Dynamic System With External Disturbances Based on Invariance Control and Movement Primitives
Construction of Diverse DropBlock Branches for Person Reidentification
Programmable Bionic Control Circuit Based on Central Pattern Generator
Evaluation of Internal Models in Autonomous Learning
Implementing Brain-Like Fear Generalization and Emotional Arousal Associated With Memory
Unifying Obstacle Avoidance and Tracking Control of Redundant Manipulators Subject to Joint Constraints: A New Data-Driven Scheme
Automatic Assessment for Severe Self-Reported Depressive Symptoms Using Speech Cues
AVTENet: A Human-Cognition-Inspired Audio-Visual Transformer-Based Ensemble Network for Video Deepfake Detection
In Search of a Neural Model for Serial Order: A Brain Theory for Memory Development and Higher Level Cognition
Learning Through Imitation: a Biological Approach to Robotics
Emotion Recognition with the Help of Privileged Information
Deep Residual Network With Adaptive Learning Framework for Fingerprint Liveness Detection
An Initiative Service Method Based on Fuzzy Analytical Hierarchy Process and Context Intention Inference for Drinking Service Robot
The "Interaction Engine": A Common Pragmatic Competence Across Linguistic and Nonlinguistic Interactions
Driving Fatigue Recognition With Functional Connectivity Based on Phase Synchronization
Exoskeleton Online Learning and Estimation of Human Walking Intention Based on Dynamical Movement Primitives
Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask
Efficient Semisupervised Object Segmentation for Long-Term Videos Using Adaptive Memory Network
LC-TTFS: Toward Lossless Network Conversion for Spiking Neural Networks With TTFS Coding
Kernel-Based Actor-Critic Learning Framework for Autonomous Brain Control on Trajectory
Cross-Subject Emotion Recognition From Multichannel EEG Signals Using Multivariate Decomposition and Ensemble Learning
Progressive-Learning-Based Assist-as-Needed Control for Ankle Rehabilitation
Guest Editorial Special Issue on Development and Learning and on Epigenetic Robotics
Toward Two-Stream Foveation-Based Active Vision Learning
A Computational Model of Acoustic Packaging
Spatiotemporal Dynamical Analysis of Brain Activity During Mental Fatigue Process
The Role of Criticality of Gene Regulatory Networks in Morphogenesis
Exploring Grounding Abilities in Vision-Language Models Through Contextual Perception
An Improved Dual Neural Network Method Based on Levy Flight for Multirobot Cooperative Area Coverage Search in 3-D Unknown Environments
Cognitive Development in Partner Robots for Information Support to Elderly People
A Multimodal Model of Object Deformation Under Robotic Pushing
EEG-Based Auditory Attention Detection With Spiking Graph Convolutional Network
MultiselfGAN: A Self-Guiding Neural Architecture Search Method for Generative Adversarial Networks With Multicontrollers
Dynamic Weighted Filter Bank Domain Adaptation for Motor Imagery Brain-Computer Interfaces
Concurrent Skill Composition Using Ensemble of Primitive Skills
Brain-Like Emergent Spatial Processing
Interest-Driven Exploration With Observational Learning for Developmental Robots
Improved Binocular Vergence Control via a Neural Network That Maximizes an Internally Defined Reward
MAVIDSQL: A Model-Agnostic Visualization for Interpretation and Diagnosis of Text-to-SQL Tasks
Computational Developmental Neuroscience: Capturing Developmental Trajectories From Genes to Cognition
Brain Teleoperation Control of a Nonholonomic Mobile Robot Using Quadrupole Potential Function
A Basal Ganglia Network Centric Reinforcement Learning Model and Its Application in Unmanned Aerial Vehicle
Understanding the Role of Objects in Joint Attention Task Framework for Children With Autism
Evolutionary Wall-Following Hexapod Robot Using Advanced Multiobjective Continuous Ant Colony Optimized Fuzzy Controller
Language-Model-Based Paired Variational Autoencoders for Robotic Language Learning
Self-Attention Pooling-Based Long-Term Temporal Network for Action Recognition
Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition
Minimum Adversarial Distribution Discrepancy for Domain Adaptation
Electroencephalogram Emotion Recognition Based on Empirical Mode Decomposition and Optimal Feature Selection
DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification
Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems
Computational Analysis of Motionese Toward Scaffolding Robot Action Learning
An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation
Recurrent-Neural-Network-Based Polynomial Noise Resistance Model for Computing Dynamic Nonlinear Equations Applied to Robotics
Design and Evaluation of a Unique Social Perception System for Human-Robot Interaction
An Iterative Approach for EEG-Based Rapid Face Search: A Refined Retrieval by Brain Computer Interfaces
Iterative Pseudo-Sparse Partial Least Square and Its Higher Order Variant: Application to Inference From High-Dimensional Biosignals
Synergetic Learning Control Paradigm for Redundant Robot to Enhance Error-Energy Index
The Perception of Emotion in Artificial Agents
Robotic Manipulation Skill Acquisition Via Demonstration Policy Learning
Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation
Evolving a Sensory-Motor Interconnection Structure for Adaptive Biped Robot Locomotion
A Method for Napping Time Recommendation Using Electrical Brain Activity
A Dynamic Systems Model of Infant Attachment
Toward Improving Engagement in Neural Rehabilitation: Attention Enhancement Based on Brain-Computer Interface and Audiovisual Feedback
Observer-Based Event-Triggered Iterative Learning Consensus for Locally Lipschitz Nonlinear MASs
Mental States, EEG Manifestations, and Mentally Emulated Digital Circuits for Brain-Robot Interaction
Attention-Net: An Ensemble Sketch Recognition Approach Using Vector Images
Subband Cascaded CSP-Based Deep Transfer Learning for Cross-Subject Lower Limb Motor Imagery Classification
Spatio-Temporal Multimodal Developmental Learning
Motion Learning for Musculoskeletal Robots Based on Cortex-Inspired Motor Primitives and Modulation
Prior Knowledge-Augmented Broad Reinforcement Learning Framework for Fault Diagnosis of Heterogeneous Multiagent Systems
Vocal Imitation in Sensorimotor Learning Models: A Comparative Review
STDP-Driven Development of Attention-Based People Detection in Spiking Neural Networks
Deep Convolutional Network Based on Interleaved Fusion Group
DG-NBV: A Cognitive Framework for Direct Generation of Next Best View in Continuous View Space
An Ontology to Formalize a Creative Problem Solving Activity
SIBoLS: Robust and Energy-Efficient Learning for Spike-Based Machine Intelligence in Information Bottleneck Framework
Deep Binocular Fixation Prediction Using a Hierarchical Multimodal Fusion Network
Spatial Cognition-Driven Deep Learning for Car Detection in Unmanned Aerial Vehicle Imagery
Deep Learning Framework for Modeling Cognitive Load From Small and Noisy EEG Data
Reinforcement-Learning-Based Dynamic Opinion Maximization Framework in Signed Social Networks
Functional Integration and Separation of Brain Network Based on Phase Locking Value During Emotion Processing
Toward Electroencephalographic Profiling of Player Motivation: A Survey
Models of Cross-Situational and Crossmodal Word Learning in Task-Oriented Scenarios
Brain-Computer Interface Integrated With Augmented Reality for Human-Robot Interaction
Sequential Learning Network With Residual Blocks: Incorporating Temporal Convolutional Information Into Recurrent Neural Networks
Uncoupling Between Multisensory Temporal Function and Nonverbal Turn-Taking in Autism Spectrum Disorder
Toward Improved Child-Robot Interaction by Understanding Eye Movements
Motor-Primed Visual Attention for Humanoid Robots
Action Priors for Learning Domain Invariances
A Real-Time Multifunctional Framework for Guidewire Morphological and Positional Analysis in Interventional X-Ray Fluoroscopy
Anomalous Behaviors Detection in Moving Crowds Based on a Weighted Convolutional Autoencoder-Long Short-Term Memory Network
A Brain-Inspired Self-Organizing Episodic Memory Model for a Memory Assistance Robot
Emergence of Memory in Reactive Agents Equipped With Environmental Markers
Active Learning of Object and Body Models with Time Constraints on a Humanoid Robot
A Bio-Inspired Goal-Directed Cognitive Map Model for Robot Navigation and Exploration
A Simple Ontology of Manipulation Actions Based on Hand-Object Relations
Exploratory Cross-Frequency Coupling and Scaling Analysis of Neuronal Oscillations Stimulated by Emotional Images: An Evidence From EEG
Automatic Pupillary Light Reflex Detection in Eyewear Computing
Interactions With Reconfigurable Modular Robots Enhance Spatial Reasoning Performance
Emergence of Protosentences in Artificial Communicating Systems
Compressed Video Anomaly Detection of Human Behavior Based on Abnormal Region Determination
An Approach to Subjective Computing: A Robot That Learns From Interaction With Humans
Learning to Integrate an Artificial Sensory Device: How Bayesian Integration May Lead to Nonoptimal Perception
A Reinforcement Learning Method for Rearranging Scattered Irregular Objects Inside a Crate
TRANSIT-EEG - A Framework for Cross-Subject Classification With Subject Specific Adaptation
A Hierarchical Architecture for Multisymptom Assessment of Early Parkinson's Disease via Wearable Sensors
Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot Interaction
Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective
Prediction of Treatment Outcome in Major Depressive Disorder Using Ensemble of Hybrid Transfer Learning and Long Short-Term Memory Based on EEG Signal
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective
Path Learning by Demonstration for Iterative Human-Robot Interaction With Uncertain Time Durations
Robotic-Assisted Rehabilitation Trainer Improves Balance Function in Stroke Survivors
A Framework of Hybrid Force/Motion Skills Learning for Robots
Evolving Generalized Modulatory Learning: Unifying Neuromodulation and Synaptic Plasticity
GCEN: Multiagent Deep Reinforcement Learning With Grouped Cognitive Feature Representation
Editorial - TAMD Outstanding Paper Award and Open Access Publication Established
Selective Multi-Source Domain Adaptation Network for Cross-Subject Motor Imagery Discrimination