yusuke1997/dblp-id-title huggingface dataset:
A modular approach to self-organization of robot control based on language instruction
Mammalian Navigation, Neural Models and Biorobotics
Decomposing infants' object representations: A dual-route processing account
Editorial: Biorobotics
Using modified fruit fly optimisation algorithm to perform the function test and case studies
Are Rule-based Neural Networks Biologically Plausible?
Programming in the brain: a neural network theoretical framework
Impartial competitive learning in multi-layered neural networks
Low cost network traffic measurement and fast recovery via redundant row subspace-based matrix completion
On the design of neuro-controllers for individual and social learning behaviour in autonomous robots: an evolutionary approach
"I spy, with my little sensor": fair data handling practices for robots between privacy, copyright and security
TSCAPE: time series clustering with curve analysis and projection on an Euclidean space
Do we need to pay technical debt in blockchain software systems?
Multi-distribution noise quantisation: an extreme compression scheme for transformer according to parameter distribution
Better Living Through Chemistry: Evolving GasNets for Robot Control
Cross-modal learning with multi-modal model for video action recognition based on adaptive weight training
Detecting susceptible communities and individuals in hospital contact networks: a model based on social network analysis
The foundations of connectionist computation
Discovering Complex Othello Strategies through Evolutionary Neural Networks
Online incremental updating for model enhancement based on multi-perspective trusted intervals
A homotopy-CNN framework for continuous deformation in low-light image enhancement
Experience evaluations for human-computer co-creative processes - planning and conducting an evaluation in practice
Event-triggered H∞ anti-synchronisation for delayed neural networks with discontinuous neuron activations via non-fragile control strategy
The dual-route hypothesis: evaluating a neurocomputational model of fear conditioning in rats
ALSEE: a framework for attribute-level sentiment element extraction towards product reviews
Realised volatility prediction of high-frequency data with jumps based on machine learning
Multi-objective optimal design of online PID controllers using model predictive control based on the group method of data handling-type neural networks
Cognitive instabilities under contention, friction, and the fog-of-war challenge the AI revolution
Improving visualisation and prediction performance of supervised self-organising map by modified contradiction resolution
Behavioural Aspects of Combining Backpropagation Learning and Self-organizing Maps
Semantic Transparency, Brain Monitoring and Evaluation of Hybrid Cognitive Architectures
Design and optimisation of a (FA) Q -learning-based HTTP adaptive streaming client
A linear structured approach and a refined fitness function in genetic programming for multi-class object classification
A reinforcement learning model of joy, distress, hope and fear
A hybrid differential evolution for multi-objective optimisation problems
Ensuring unbiasedness: foundational insights into integrating GSTARIMA and DNN models for rainfall prediction
ARP: asexual reproduction programming
The algorithm and implementation of an extension to LLVM for solving the blocking between instruction sink and division-modulo combine
FedG2L: a privacy-preserving federated learning scheme base on "G2L" against poisoning attack
A novel deep learning model for stock market prediction using a sentiment analysis system from authoritative financial website's data
Neuroscientific implications for situated and embodied artificial intelligence
Analysis of information gain and Kolmogorov complexity for structural evaluation of cellular automata configurations
Extracting Regularities in Space and Time Through a Cascade of Prediction Networks: The Case of a Mobile Robot Navigating in a Structured Environment
Neural network pruning based on channel attention mechanism
Categorisation through evidence accumulation in an active vision system
A simulation study exploring the role of cultural transmission in language evolution
Neural Network Learning from Ambiguous Training Data
Reuse of information in multi-layer sigma-pi neural networks
Knowledge-based cascade-correlation: using knowledge to speed learning
A modified deep neural network enables identification of foliage under complex background
Catastrophic Forgetting, Rehearsal and Pseudorehearsal
Recovery of Unrehearsed Items in Connectionist Models
Enhancing image data security using the APFB model
Dimensional Relevance Shifts in Category Learning
An earned presence: studying the effect of multi-task improvisation systems on cognitive and learning capacity
Efficient architectures for sparsely-connected high capacity associative memory models
A real-time robotic model of human reference resolution using visual constraints
Novelty-dependent learning and topological mapping
Guest Editorial: On Adaptive Robots
Analysis of early fault vibration detection and analysis of offshore wind power transmission based on deep neural network
Towards autonomous sensor and actuator model induction on a mobile robot
Software defect prediction using wrapper-based dynamic arithmetic optimization for feature selection
Manipulating space: modelling the role of transient dynamics in inattentional blindness
Emotion recognition based on convolutional gated recurrent units with attention
Design of advanced intrusion detection systems based on hybrid machine learning techniques in hierarchically wireless sensor networks
Conditions for cognitive self-organisation implied by visual-word processing
A model of primate visual cortex based on category-specific redundancies in natural images
DevFemOps: enhancing maintainability based on microservices using formal engineering methods
A Recurrent Neural Network that Learns to Count
An image encryption algorithm based on multi-layered chaotic maps and its security analysis
Modelling Pitch Perception with Adaptive Resonance Theory Artificial Neural Networks
An experimental evaluation of deep learning-based models for acne severity classification in humans
In search of intelligence: evolving a developmental neuron capable of learning
CGRS: Collaborative Knowledge Propagation Graph Attention Network for Recipes Recommendation
Imbalanced data classification via support vector machines and genetic algorithms
Using a Mobile Robot to Test a Model of the Rat Hippocampus
The role of selective attention and action selection in the development of multiple action capabilities
Few shot object detection for headdresses and seats in Thangka Yidam based on ResNet and deformable convolution
The effects of robot facial emotional expressions and gender on child-robot interaction in a field study
Computational memory architectures for autobiographic agents interacting in a complex virtual environment: a working model
SMARDY: the CORE of zero-trust FAIR marketplace for research data
A lightweight and style-robust neural network for autonomous driving in end side devices
Tracking control of two-wheel driven mobile robot using compound sine function neural networks
OAC-HAS: outsourced access control with hidden access structures in fog-enhanced IoT systems
Graph learning-based spatial-temporal graph convolutional neural networks for traffic forecasting
Fake news in elections: leveraging large language models using semantic analyses to extract insights from academic research
Compositional connectionism in cognitive science II: the localist/distributed dimension
Selective transfer learning with adversarial training for stock movement prediction
Effective classification of android malware families through dynamic features and neural networks
Distributed learning and multi-objectivity in traffic light control
Sentiment classification of Chinese Weibo based on extended sentiment dictionary and organisational structure of comments
KG4Py: A toolkit for generating Python knowledge graph and code semantic search
On evil and computational creativity
An emotional classification method of Chinese short comment text based on ELECTRA
Swarm robotics and minimalism
Modelling Musical Perception: A Critical View
Application of Several Methods of Classification Fusion to Magnetic Resonance Spectra
Information Content in Neural Net Optimization
Can the revolution be optimised? Oh yes it can! But, maybe not. Report on the one day symposium on "Varieties of Enactivism"
A new locally adaptive K-nearest centroid neighbor classification based on the average distance
Acquiring the Mapping from Meaning to Sounds
Development of Children's Seriation: A Connectionist Approach
Preface to the special issue: Adaptive Learning Agents Part 2
Information dynamics: patterns of expectation and surprise in the perception of music
Effects of Collinearity on Combining Neural Networks
A long-short dual-mode knowledge distillation framework for empirical asset pricing models in digital financial networks
Empathy, androids and 'authentic experience'
QIR: a novel quaternion-based image representation for reversible image steganography
Dynamics of Noisy Neural Nets with Chemical Markers and Gaussian-distributed Connectivities
Hypertransfer in Neural Networks
API recommendation for Mashup creation based on neural graph collaborative filtering
A high-precision correction method in non-rigid 3D motion poses reconstruction
Spatial navigation model based on chaotic attractor networks
Minimally Connective, Auto-associative, Neural Networks
The sad loss of an editorial board member
An ensemble machine learning approach for classification tasks using feature generation
Modification of ARL for detecting changes on the double EWMA chart in time series data with the autoregressive model
Social learning in embodied agents
Variable binding by synaptic strength change
Connection Science gets the key of the door
Promotion of cooperation in social dilemma games via generalised indirect reciprocity
Creating hierarchical categories using cell assemblies
Quantifying the search space for multi-agent system decision-making organizations
Preface to the special issue: embodied cognition, acting and performance
Driver's drowsiness detection using an enhanced image processing technique inspired by the human visual system
COSMIC FP method in software development estimation using artificial neural networks based on orthogonal arrays
LPIF-based image enhancement and hybrid ensemble models for brain tumor detection
A novel cluster head selection using Hybrid Artificial Bee Colony and Firefly Algorithm for network lifetime and stability in WSNs
A new fuzzy C-means method for magnetic resonance image brain segmentation
What should a robot learn from an infant? Mechanisms of action interpretation and observational learning in infancy
Modularity, Combining and Artificial Neural Nets
The social body in motion: cognitive development in infants and androids
Introduction to developmental robotics
Full-span named entity recognition with boundary regression
On the rationality of cycling in the Theory of Moves framework
Memory-augmented meta-learning on meta-path for fast adaptation cold-start recommendation
The node importance evaluation method based on graph convolution in multilayer heterogeneous networks
Neural representations of compositional structures: representing and manipulating vector spaces with spiking neurons
Developing navigation behavior through self-organizing distinctive-state abstraction
Designing and implementing transparency for real time inspection of autonomous robots
Joint attention and language evolution
Interactive natural language acquisition in a multi-modal recurrent neural architecture
Combining Neural Network Forecasts on Wavelet-transformed Time Series
Safe reinforcement learning for dynamical systems using barrier certificates
Confluent Preorder Parsing of Deterministic Grammars
Anomaly detection of industrial state quantity time-Series data based on correlation and long short-term memory
Reduced O3 subsequence labelling: a stepping stone towards optimisation sequence prediction
A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy
Fidan: a predictive service demand model for assisting nursing home health-care robots
A blockchain-based lightweight authentication and key agreement scheme for internet of vehicles
Genetic programming for detecting target motions
A new design for reconfigurable XOR function based on cellular neural networks
A simple but effective method for Indonesian automatic text summarisation
The origins of syntax: from navigation to language
A dynamic global backbone updating for communication-efficient personalised federated learning
Devising single in-out long short-term memory univariate models for predicting the electricity price on the day-ahead markets
Predictive models for music
An efficient sparse pruning method for human pose estimation
New modified exponentially weighted moving average-moving average control chart for process monitoring
Information management in interactive and non-interactive suspenseful storytelling
A special issue on 'Navigation'
Extending emotional lexicon for improving the classification accuracy of Chinese film reviews
Evolving unipolar memristor spiking neural networks
A dynamic network traffic classifier using supervised ML for a Docker-based SDN network
CNN-based salient features in HSI image semantic target prediction
A GCC-based checker for compliance with MISRA-C's single-translation-unit rules
A novel blockchain-based privacy-preserving framework for online social networks
Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction
In the context of COVID-19: the impact of employees' risk perception on work engagement
A multi-objective particle swarm optimisation for filter-based feature selection in classification problems
Explore deep auto-coder and big data learning to hard drive failure prediction: a two-level semi-supervised model
An SMVQ compressed data hiding scheme based on multiple linear regression prediction
Innovative synthetic EHR data generation: diffusion models for enhanced privacy and clinical utility in multimorbidity clustering
HUMOUR: Integrating Neural and Fuzzy Reasoning
Aggregating multi-scale contextual features from multiple stages for semantic image segmentation
Computational and biological perspectives on the problem of navigation
Isolated toughness and fractional ( a,b,n )-critical graphs
Solving scheduling tournament problems using a new version of CLONALG
Comprehensive evaluation of the intelligence levels for unmanned swarms based on the collective OODA loop and group extension cloud model
Artificial neural networks whispering to the brain: nonlinear system attractors induce familiarity with never seen items
Modelling the Perception of Musical Sequences with Self-organizing Neural Networks
Deep transfer learning mechanism for fine-grained cross-domain sentiment classification
Are Feedforward and Recurrent Networks Systematic? Analysis and Implications for a Connectionist Cognitive Architecture
Knowledge enhancement for speech emotion recognition via multi-level acoustic feature
CL-ECPE: contrastive learning with adversarial samples for emotion-cause pair extraction
Reward estimation with scheduled knowledge distillation for dialogue policy learning
Microservice combination optimisation based on improved gray wolf algorithm
Semantic systematicity and context in connectionist networks
A weighted pattern matching approach for classification of imbalanced data with a fireworks-based algorithm for feature selection
DSLWNet: a dual-stream lightweight deep learning network for the detection of Epileptic seizures using EEG signals
An effective scheduling in data centres for efficient CPU usage and service level agreement fulfilment using machine learning
Differential privacy in statistical queries for synthetic trajectories generated by generative adversarial networks
Shaping: The Link Between Rats and Robots
An exploration of a new paradigm for weightless RAM-based neural networks
Hybrid evolutionary techniques in feed forward neural network with distributed error for classification of handwritten Hindi 'SWARS'
Navigation through unknown and dynamic open spaces using topological notions
Global-local population memetic algorithm for solving the forward kinematics of parallel manipulators
Research on the Uyghur morphological segmentation model with an attention mechanism
Word sense disambiguation in evolutionary manner
Biologically plausible visual homing methods based on optical flow techniques
Exploring the NFT market on ethereum: a comprehensive analysis and daily volume forecasting
A two-stage deep learning based method for diabetic retinopathy classification
Network security situation assessment based on dual attention mechanism and HHO-ResNeXt
A conditional opposition-based particle swarm optimisation for feature selection
An efficient attribute-based encryption scheme based on SM9 encryption algorithm for dispatching and control cloud
Grounded for life: creative symbol-grounding for lexical invention
Improving feature ranking for biomarker discovery in proteomics mass spectrometry data using genetic programming
Night construction site detection based on ghost-YOLOX
Cerebellar Control of Robot Arms
What baboons, babies and Tetris players tell us about interaction: a biosocial view of norm-based social learning
Open-ended category learning for language acquisition
Theoretical and empirical validation of software trustworthiness measure based on the decomposition of attributes
Conceptualizing How DETE Conceptualizes (or, 'More DETE-tales, Please!')
Towards Genetically Evolved Dynamic Control for Quadruped Locomotion
Lane detection based on IBN deep neural network and attention
Integrate computation intelligence with Bayes theorem into complex construction installation: a heuristic two-stage resource scheduling optimisation approach
Synaptic noise as a means of implementing weight-perturbation learning
An improved Monte Carlo Tree Search approach to workflow scheduling
Construction of a Hexapod Robot with Cockroach Kinematics Benefits both Robotics and Biology
Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks
A Hybrid parallel deep learning model for efficient intrusion detection based on metric learning
The Connectionist Construction of Psychological Spaces
Position-specific effects within the SERIOL framework of letter-position coding
PSPNet EPO-SEB: a novel attention-enhanced hybrid model for accurate histopathological image segmentation
The meaning of the EPSRC principles of robotics
Securing top-k query processing in two-tiered sensor networks
Competition between cue response and place response: a model of rat navigation behaviour
A comparison of plan-based and abstract MDP reward shaping
Retroactive interference in neural networks and in humans: the effect of pattern-based learning
A note on the exclusion operator in multi-swarm PSO algorithms for dynamic environments
Multi-branch feature learning based speech emotion recognition using SCAR-NET
A categorical approach to affective gesture recognition
Economic policies assessment and judgement during the pandemic with semantic and social network joint analysis
An entity and relation extraction model based on context query and axial attention towards patent texts
An efficient MLP-learning algorithm using parallel tangent gradient and improved adaptive learning rates
Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias
Epigenetic robotics - modelling cognitive development in robotic systems
Privacy-preserving location-based traffic density monitoring
Optimal feature selection and invasive weed tunicate swarm algorithm-based hierarchical attention network for text classification
MoCoUTRL: a momentum contrastive framework for unsupervised text representation learning
The role of perceived interactivity in virtual communities: building trust and increasing stickiness
Stack-like and queue-like dynamics in recurrent neural networks
Teacher-directed learning: information-theoretic competitive learning in supervised multi-layered networks
The emergence of language: neural and adaptive agent models
Towards a cognitive robotics methodology for reward-based decision-making: dynamical systems modelling of the Iowa Gambling Task
Contour wavelet diffusion - a fast and high-quality facial expression generation model
A critique of connectionist semantics
Evolutionary Robotics: Exploiting the Full Power of Self-organization
Multi-Keyword ranked search based on mapping set matching in cloud ciphertext storage system
An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm
Content-based image retrieval using block truncation coding based on edge quantization
Secure medical digital twin via human-centric interaction and cyber vulnerability resilience
A Distributed Memory Model of the Associative Boost in Semantic Priming
Preface to the special issue: Adaptive Learning Agents Part 3
The Production of Finnish Nouns: A Psycholinguistically Motivated Connectionist Model
Structure and function of evolved neuro-controllers for autonomous robots
State-of-charge estimation for Lithium-Ion batteries using Kalman filters based on fractional-order models
Robust manifold learning with CycleCut
A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network
Introduction to the special issue on android science
Principles of robotics: regulating robots in the real world
Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique
A large-scale multi-agent system for navy personnel distribution
Second thoughts about privacy, safety and deception
Semantic-aware multi-task learning for image aesthetic quality assessment
OCP: an OLAP-based bus crowdedness smart-perceiving mechanism for urban transportation
Prediction of customer engagement behaviour response to marketing posts based on machine learning
CG-Art: demystifying the anthropocentric bias of artistic creativity
Editorial: Process and Representation in Connectionist Models of Musical Structure
TsFSIM: a three-step fast selection algorithm for influence maximisation in social network
Parkinson's disease detection and stage classification: quantitative gait evaluation through variational mode decomposition and DCNN architecture
Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks
Incremental learning of Bayesian sensorimotor models: from low-level behaviours to large-scale structure of the environment
Combining evolutionary computation with the variable neighbourhood search in creating an artificial music composer
A special issue on 'the emergence of language: neural and adaptive agent models'
A study on the traceable attribute-based signature scheme provided with anonymous credentials
Dynamic Update of the Reinforcement Function During Learning
Using unsupervised incremental learning to cope with gradual concept drift
Recommending third-party APIs via using lightweight graph convolutional neural networks
Kinematic motor learning
A comprehensive overview of smart healthcare technologies in revolutionizing modern rehabilitation practices
Rapid Navigational Learning in Insects with a Short Lifespan
An improved water wave optimisation algorithm enhanced by CMA-ES and opposition-based learning
A lightweight authentication scheme for telecare medical information system
A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network
Grounding or Association?
Anticipation by multi-modal association through an artificial mental imagery process
Android science and animal rights, does an analogy exist?
A Gaussian Approach to Neural Nets with Multiple Memory Domains
The detection of distributional discrepancy for language GANs
Towards unbiased benchmarking of evolutionary and hybrid algorithms for real-valued optimisation
Feature recommendation strategy for graph convolutional network