yusuke1997/dblp-id-title huggingface dataset:
Memetic algorithms for Cross-domain Heuristic Search
Pre-image Calculation for Random Fourier Feature Kernel Machines
Classification of Dairy Cattle Combined Milk Production and Methane Emission Levels via Multilabel & Multiclass Systems
The X-mu representation of fuzzy sets - Regaining the excluded middle
A Method for Load Balancing and Energy Optimization in Cloud Computing Virtual Machine Scheduling
Analyzing Supervised Learning Models for Predicting Student Dropout and Success in Higher Education
Classification of Heterogeneous Data Based on Data Type Impact on Similarity
Towards Low-Cost P300-Based BCI Using Emotiv Epoc Headset
The Effect of the Hypersphere Volume Anomaly on Generative Support Vector Decoders
Dynamic Stream Clustering Using Ants
Overview of Human Activity Recognition Using Sensor Data
A Framework to Handle Uncertainties of Machine Learning Models in Compliance with ISO 26262
Syntactic Dependency Constraint Based Graph Convolutional Network for Aspect Level Sentiment Classification
Blood-glucose pattern mining algorithm for decision support in diabetes management
Fast learning method of interval type-2 fuzzy neural networks
Fuzzy controller design using concretion based on boolean relations (CBR)
Anomaly Detection in Activities of Daily Living Using One-Class Support Vector Machine
Disentangling the Latent Space of (Variational) Autoencoders for NLP
A Human-friendly Verbal Communication Platform for Multi-Robot Systems: Design and Principles
Few-Shot Object Detection with Enhanced Prototypes
Advances in Computational Intelligence Systems - Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK
A Non-invasive Subtle Pulse Rate Extraction Method Based on Eulerian Video Magnification
Artificial Intelligence (AI) Applications in Chemistry
Multi-agent Awareness, No-Retracing, Diagonal Movement for Q-Learning
Review of Recent Advances in Gaussian Process Regression Methods
Towards a Framework for Interpretation of CNN Results with ANFIS
Malware Prediction Using Tabular Deep Learning Models
Binary Classification of Medical Images by Symbolic Regression
A Method of Intention Estimation for Human-Robot Interaction
Temperature Prediction in Chinese Solar Greenhouse Based on Artificial Neural Networks Using Environmental Factors
X-μ fuzzy association rule method
Centralised and Decentralised Control of Video Game Agents
Random projections versus random selection of features for classification of high dimensional data
Towards Accurate Rainfall Volume Prediction: An Initial Approach with Deep Learning, Advanced Feature Selection, Parameter Optimisation, and Ensemble Techniques for Time-Series Forecasting
Interpolating destin features for image classification
Integrate classifier diversity evaluation to feature selection based classifier ensemble reduction
A Heuristic Approach for the Dynamic Frequency Assignment Problem
Computational techniques for identifying networks of interrelated diseases
Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System
Fuzzy Intelligent System for Improving High Availability of a Docker-Based Hybrid Cloud Infrastructure
Mixture Kernel-Based Fuzzy-Rough Feature Selection
Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space
On Facial Age Progression Based on Modified Active Appearance Models with Face Texture
Using computational methods for the prediction of drug vehicles
Comparative Analysis of K-Means and Traversal Optimisation Algorithms
A New Multi-objective Model for Constrained Optimisation
Evolving neural networks using ant colony optimization with pheromone trail limits
Two-Stage Heuristic Algorithm for a New Model of Hazardous Material Multi-depot Vehicle Routing Problem
Interval Construction and Optimization for Mechanical Property Forecasting with Improved Neural Networks
A Comparison Study on Flush+Reload and Prime+Probe Attacks on AES Using Machine Learning Approaches
Network Design Optimisation Using Two Population-Based Search Strategies
A rule based system for diagnosing and treating chronic heart failure
Model Selection in Online Learning for Times Series Forecasting
Single Frame Image Super Resolution Using ANFIS Interpolation: An Initial Experiment-Based Approach
A Fuzzy Prescreening Tool to Assist in the Diagnosis of High Functioning Individuals on the Autism Spectrum Who Present with Mental Health Comorbidities
Crowd formal modelling and simulation: The Sa'yee ritual
Estimation of Event-Related Potentials from Single-Trial EEG
A Hybrid Performance Estimation Strategy for Optimizing Neural Architecture Search
Applications of Asymmetric Networks to Bio-Inspired Neural Networks for Motion Detection
Integration of Interpolation and Inference with Multi-antecedent Rules
TSK Inference with Sparse Rule Bases
Classification of Imbalanced Immunotherapy and Health-Related Data Utilising Novel Machine Learning Experiments
Fault Prognosis Method of Industrial Process Based on PSO-SVR
Dendritic Cell Algorithm with Fuzzy Inference System for Input Signal Generation
Gradient Boost with Convolution Neural Network for Stock Forecast
Privacy and Security Landscape of Metaverse
A Study on CNN Transfer Learning for Image Classification
Interpretable Deep Learning for System Identification Using Nonlinear Output Frequency Response Functions
Transfer learning across heterogeneous tasks using behavioural genetic principles
Neural networks and wavelet transform in waveform approximation
Nonlinear Model Combination Approach to Decentralised and Privacy-Preserving Classification
Social media analysis for product safety using text mining and sentiment analysis
Towards the Use of Machine Learning Classifiers for Human Activity Recognition Using Accelerometer and Heart Rate Data from ActiGraph
A Multiobjective Evolutionary Algorithm Approach for Map Sketch Generation
Construction and Refinement of Preference Ordered Decision Classes
Defect Prediction on Production Line
Developing Prediction Models for Large for Gestational Age Infants Using Ethnically Diverse Data
Soft morphological filter optimization using a genetic algorithm for noise elimination
Analyzing and Comparing Clustering Algorithms for Student Academic Data
Ankle Variable Impedance Control for Humanoid Robot Upright Balance Control
Cognitive and Neuromuscular Robotic Rehabilitation Framework
Integrating natural language generation and model-based reasoning for explanation generation
Cross-scale Heterogeneous Convolution Change Detection Based on Spatial-Spectral Information Fusion for Remote Sensing Imagery
Learning Input Features Representations in Deep Learning
Image Fusion for Remote Sizing of Hot High Quality Steel Sections
Deep Learning Based Lightweight Model for Brain Tumor Classification and Segmentation
Towards the evolution of novel vertical-axis wind turbines
Predicting Modified Rankin Scale Scores of Ischemic Stroke Patients Using Radiomics Features and Machine Learning
Development of a Convolutional Neural Network Architecture for Production Based Photovoltaic Fault Detection
Markov Decision Processes with Contextual Nodes as a Method of Assessing Attacking Player Performance in Rugby League
Simulating swarm behaviuors for optimisation by learning from neighbours
Improving the Explainability of Multi-criteria Decision-Making Using Neutrosophic Logic
Assessing Significance of Cognitive Assessments for Diagnosing Alzheimer's Disease with Fuzzy-Rough Feature Selection
An evolutionary algorithm for bid-based dynamic economic load dispatch in a deregulated electricity market
Evolution-in-materio: Solving function optimization problems using materials
Complexity Control in Rule Based Models for Classification in Machine Learning Context
Agent Based Micro-simulation of a Passenger Rail System Using Customer Survey Data and an Activity Based Approach
Face clustering in videos: GMM-based hierarchical clustering using Spatio-Temporal data
Clustering Analysis of Tourism and Crime in Barcelona from 2011 to 2022
Fintech Bitcoin Smart Investment Based on the Random Neural Network with a Genetic Algorithm
12th UK Workshop on Computational Intelligence, UKCI 2012, Edinburgh, United Kingdom, September 5-7, 2012
Automatic Scoring of Chair Sit-to-Stand Test Using a Smartphone
Introducing DOWSN: Distributed optimization in wireless sensor networks
An Immunological Algorithm for Graph Modularity Optimization
Rough-Fuzzy Rule Interpolation for Data-Driven Decision Making
Cloud-Agnostic and Lightweight Big Data Processing Platform in Multiple Clouds Using Docker Swarm and Terraform
Model-Free and Model-Based Active Learning for Regression
An Evaluation of Handwriting Digit Recognition Using Multilayer SAM Spiking Neural Network
SemCluster: Unsupervised Automatic Keyphrase Extraction Using Affinity Propagation
Vision Based Human Activity Recognition: A Review
Reconstructing regulatory networks in Streptomyces using evolutionary algorithms
Identifying and Predicting Patent Trends in the Artificial Intelligence Domain
A Modified Approach to Inferring Animal Social Networks from Spatiotemporal Data Streams
Databases and the Grid: JDBC in WSDL, or Something Altogether Different?
Semantics for Grid Databases, First International IFIP Conference on Semantics of a Networked World: ICSNW 2004, Paris, France, June 17-19, 2004. Revised Selected Papers
Emergent Semantics: Towards Self-Organizing Scientific Metadata.
A New Mechanism for the Interoperability of Data Systems
InfoGrid: Information Resource Integration
Null Values Revisited in Prospect of Data Integration
Semantic Visualization of Biochemical Databases
Semantic Annotation of Classification Data for KDD Support Services
Cluster Entries for Semantic Organization of Peer-to-Peer Network
Analysis Patterns for the Geographic Database Conceptual Schema: An Ontology Aided Approach
Towards a Mediation System Framework for Transparent Access to Largely Distributed Sources. The MediaGrid Project
User-Specific Semantic Integration of Heterogeneous Data: The SIRUP Approach
An Architecture for Recommendation Based Service Mediation
Semantic Information Interoperability in Open Networked Systems
Role of the Ontologies in the Context of Grid Computing and Application for the Human Disease Studies
Semantically Linking and Browsing Provenance Logs for E-science
Relational Graphical Models of Computational Workflows for Data Mining
Autonomous Gossiping: A Self-Organizing Epidemic Algorithm for Selective Information Dissemination in Wireless Mobile Ad-Hoc Networks
Semantic-Based Query Routing and Heterogeneous Data Integration in Peer-to-Peer Semantic Link Networks
Hyper: A Framework for Peer-to-Peer Data Integration on Grids
Static-Dynamic Integration of External Services into Generic Business Processes
Managing Grid Schemas Globally
A Peer-to-Peer Service Supporting Data Quality: Design and Implementation Issues
Knowledge Sifter: Agent-Based Ontology-Driven Search over Heterogeneous Databases Using Semantic Web Services
Peer Selection in Peer-to-Peer Networks with Semantic Topologies
Learning semantic components from subsymbolic multimodal perception
Bayesian Noisy Word Clustering through Sampling Prototypical Words
Looking Back and Ahead: Adaptation and Planning by Gradient Descent
Action recognition with unsynchronised multi-sensory data
U-shaped motor development emerges from Goal Babbling with intrinsic motor noise
Combining synchrony and shape detection to sustain the robot focus of attention on a selected human partner
Learning of audiovisual integration
Children in a wonderland: How language and scale errors may be linked
A sequential multitask learning algorithm for pattern recognition
Involuntary movement suppression filter for electric wheelchair with athetosis-type cerebral palsy
Self-organisation of a learnable language: What happens when an alien language replicates through human brains
The development of shared meaning within different embodiments
From human action understanding to robot action execution: how the physical properties of handled objects modulate non-verbal cues
A new experimental setup to study the structure of curiosity-driven exploration in humans
The effects of learning and retrieval contexts on cross-situational word learning
Within Reach? Learning to touch objects without prior models
Intrinsic Activitity: from motor babbling to play
Gaze contingent joint attention with an avatar in children with and without ASD
Curiosity-driven learning with Context Tree Weighting
Development of a connection matrix for productive grounded cognition
Effective transfer learning of affordances for household robots
Sensorimotor learning in a Bayesian computational model of speech communication
Activity recognition in a physical interactive robogame
An egocentric perspective on active vision and visual object learning in toddlers
Intrinsically motivated reinforcement learning in socio-economic systems: The dynamical analysis
The organization of behavior into temporal and spatial neighborhoods
Simultaneous acquisition of task and feedback models
Understanding the development of motion processing by characterizing optic flow experienced by infants and their mothers
The significance of social input, early motion experiences, and attentional selection
Unsupervised learning-based semantic scene recognition and boundary visualization on category maps
Invited speakers: Riding the Wave: Event processing as predictability monitoring
Emergent structuring of interdependent affordance learning tasks
Intuitive human robot interaction based on unintentional synchrony: A psycho-experimental study
Iterative affordance learning with adaptive action generation
Development of robot self-identification based on visuomotor prediction
Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others
Incremental learning of an optical flow model for sensorimotor anticipation in a mobile robot
Reinforcement learning algorithms that assimilate and accommodate skills with multiple tasks
Active learning of local predictable representations with artificial curiosity
Mastering human-robot interaction control techniques using Chinese Tai Chi Chuan: Mutual learning, intention detection, impedance adaptation, and force borrowing
Multi-optima exploration with adaptive Gaussian mixture model
Bootstrapping word learning: A perception driven semantics-first approach
Integration of Vergence, Cyclovergence, and Saccades through Active Efficient Coding
COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception
To hear and to hold: Maternal naming and infant object exploration
Intrinsically motivated multimodal structure learning
Agent-advising approaches in an interactive reinforcement learning scenario
A scalable method for multi-stage developmental learning for reaching
Dynamic shift in isolating referents: From social to self-generated input
Response of children with autism to robotic intervention and association with IQ levels
Autonomous development of turn-taking behaviors in agent populations: A computational study
Learning of active binocular vision in a biomechanical model of the oculomotor system
A neural dynamics to organize timed movement: Demonstration in a robot ball bouncing task
A model for biological motion detection based on motor prediction in the dorsal premotor area
Tactile stimuli from amniotic fluid guides the development of somatosensory cortex with hierarchical structure using human fetus simulation
Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis
Infants' use of multisensory information for postural control
An adaptive neuro-fuzzy approach for semantic analysis of broadcast soccer video
Using natural language processing (NLP) for designing socially intelligent robots
Grounding speech utterances in robotics affordances: An embodied statistical language model
Reinforcement learning of impedance control in stochastic force fields
Learn, plan, remember: A developmental robot architecture for task solving
"And what is a Seasnake?" Modelling the acquisition of concept prototypes in a developmental framework
Rat meets iRat
A neurorobotic model of learning to shake a rattle
The mobile-paradigm as measure of infants' sense of agency? Insights from babybot simulations
Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions
Autonomous development of goals: From generic rewards to goal and self detection
Adaptive reachability assessment in the humanoid robot iCub
Reinforcement learning combined with human feedback in continuous state and action spaces
Dynamic Field Theory: Conceptual foundations and applications to neuronally inspired cognitive and developmental robotics
A pilot study using imitation and storytelling scenarios as activities for labelling emotions by children with autism using a humanoid robot
Building specific contexts for on-line learning of dynamical tasks through non-verbal interaction
Cross-situational word learning is better modeled by associations than hypotheses
Humans Perform Social Movements in Response to Social Robot Movements: Motor Intention in Human-Robot Interaction
Model of the interactions between neuromodulators and prefrontal cortex during a resource allocation task
Development of a bio-inspired vision system for mobile micro-robots
Contact force estimation from flexible tactile sensor values considering hysteresis by Gaussian process
Goal babbling of acoustic-articulatory models with adaptive exploration noise
Motor primitive discovery
Autonomous learning of robust visual object detection and identification on a humanoid
Developing learnability - The case for reduced dimensionality
Training-ValueNet: Data Driven Label Noise Cleaning on Weakly-Supervised Web Images
Temporal emphasis for goal extraction in task demonstration to a humanoid robot by naive users
Development of self-monitoring essential for vocal interactions in marmoset monkeys
Enactive self: A study of engineering perspectives to obtain the sensorimotor self through enaction
Artificial aesthetic: An interesting framework for epigenetic robotics
Trying anyways: How ignoring the errors may help in learning new skills
Data-driven generation of synthetic behavioral feature vectors modeling children with autism spectrum disorders
Developing grounded goals through instant replay learning
Emergence of communication among reinforcement learning agents under coordination environment
"Synchrony" as a way to choose an interacting partner
Measuring word learning performance in computational models and infants
Information theoretic reward shaping for curiosity driven learning in POMDPs
Sensory-motor dynamics of mother-infant-object interactions: Longitudinal changes in micro-behavioral patterns across the first year
Robotic framework with multi-modal perception for physio-musical interactive therapy for children with autism
Context discovery for model learning in partially observable environments
Modeling the sensory roles of noradrenaline in action selection
A face recognition system that simulates perception impairments of autistic children
The impact of stereotyping errors on a robot's social development
Unsupervised discovery of phoneme boundaries in multi-speaker continuous speech
Goal babbling with unknown ranges: A direction-sampling approach
Autonomous learning of domain models using two-dimensional probability distributions
Bootstrapping paired-object affordance learning with learned single-affordance features
A Deep Learning Neural Network for Number Cognition: A bi-cultural study with the iCub
Online learning of visuo-motor coordination in a humanoid robot. A biologically inspired model
Social reinforcement in intrinsically motivated sensorimotor exploration for embodied agents with constraint awareness
A robot to study the development of artwork appreciation through social interactions
Modeling the interplay between conditioning and attention in a humanoid robot: Habituation and attentional blocking
Autonomous object modeling and exploiting: A new approach based on affordances from continual interaction with environment
Developmental robotics architecture for active vision and reaching
Incremental training of Restricted Boltzmann Machines using information driven saccades
Beyond grasping - perceiving affordances across various stages of cognitive development
Learning over the Attentional Space with Mobile Robots
A Novel Pneumatic Artificial Muscle -driven Robot for Multi-joint Progressive Rehabilitation
Rapidly learning preconditions for means-ends behaviour using active learning
Integrating perceptual representation learning and skill learning in a simulated student
Feature selection for domain knowledge representation through multitask learning
The "language filter" hypothesis: A feasibility study of language separation in infancy using unsupervised clustering of I-vectors
Simultaneous concept formation driven by predictability
Objects in the center: How the infant's body constrains infant scenes
Predictive coding-based deep dynamic neural network for visuomotor learning
The role of object motion in visuo-haptic exploration during development
Extending cortical-basal inspired reinforcement learning model with success-failure experience
Increasing spatial competition enhances visual prediction learning
Online learning and integration of complex action and word lexicons for language grounding
Robot learns the concept of direction through motion activity
Learning versatile sensorimotor coordination with goal babbling and neural associative dynamics
Attitudes towards a handheld robot that learns Proxemics
Parallel reward and punishment control in humans and robots: Safe reinforcement learning using the MaxPain algorithm
An interdisciplinary overview of developmental indices and behavioral measures of the minimal self
A bio-inspired model towards vocal gesture learning in songbird
Hierarchical evolution of robotic controllers for complex tasks
Cognitive robotics for the modelling of cognitive dysfunctions: A study on unilateral spatial neglect
Tonic dopamine effects in a bio-inspired robot controller enhance expected lifetime
The robot baby and massive metacognition: Early steps via growing neural gas
Developmental changes in children understanding robotic actions: The case of lifting
Development of reaching to the body in early infancy: From experiments to robotic models
Cross-situational noun and adjective learning in an interactive scenario
Reusing motor commands to learn object interaction
A computer vision approach for the assessment of autism-related behavioral markers
Motor development facilitates the prediction of others' actions through sensorimotor predictive learning
The influence of social display in competitive multiagent learning
Curiosity-driven exploration enhances motor skills of continuous actor-critic learner
An iterative algorithm for forward-parameterized skill discovery
A measure of good motor actions for active visual perception
Impacts of environment, nervous system and movements of preterms on body map development: Fetus simulation with spiking neural network
From social interaction to ethical AI: a developmental roadmap
Integrating habituation into saliency maps
Curiosity-driven phonetic learning
Direct word discovery from speech signals based on hierarchical Dirichlet process-hidden language model and deep sparse autoencoder
Towards temporal cognition for robots: A neurodynamics approach
Developmental robot with ostensive cue sensitive learning for real-world interaction based on local contingency evaluation
Improvement proposals to intrinsically motivational robotics
Robust central pattern generators for embodied hierarchical reinforcement learning
2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EPIROB 2013, Osaka, Japan, August 18-22, 2013
Towards a cognitive architecture for self-supervised transfer learning for objects detection with a Humanoid Robot
Drifting perceptual patterns suggest prediction errors fusion rather than hypothesis selection: replicating the rubber-hand illusion on a robot