yusuke1997/dblp-id-title huggingface dataset:
WTL-CNN: a news text classification method of convolutional neural network based on weighted word embedding
A feature-based intelligent deduplication compression system with extreme resemblance detection
A novel graph computation technique for multi-dimensional curve fitting
RACNet: risk assessment Net of cervical lesions in colposcopic images
MS_HGNN: a hybrid online fraud detection model to alleviate graph-based data imbalance
Tests of an Adaptive Network Model for the Identification and Categorization of Continuous-dimension Stimuli
Explainable data mining model for hyperinsulinemia diagnostics
Learning and adaptation: neural and behavioural mechanisms behind behaviour change
Analysis of the EPSRC Principles of Robotics in regard to key research topics
Learning Perception for Indoor Robot Navigation with a Hybrid Hidden Markov Model/Recurrent Neural Networks Approach
Self-adaptive spatial-temporal network based on heterogeneous data for air quality prediction
A novel particle swarm optimisation with mutation breeding
Why Connectionism and Language Modelling Need DETE
Semantic segmentation of high-resolution remote sensing images using fully convolutional network with adaptive threshold
Human and Machine Thinking P. N. Johnson-Laird, 1993 Hillsdale, NJ: Lawrence Erlbaum AssociatesISBN 0-8058-0921, £19.95
Connected word recognition using a cascaded neuro-computational model
Research on plantar pressure dynamic distribution characteristics of samba step movements based on biomechanics
A feature enhancement FCOS algorithm for dynamic traffic object detection
DOE: a dynamic object elimination scheme based on geometric and semantic constraints
TfrAdmCov: a robust transformer encoder based model with Adam optimizer algorithm for COVID-19 mutation prediction
Improved data labelling method for news headlines classification in cloud environment
The use of confidence measures to enhance combination strategies in multi-network neuro-fuzzy systems
Getting symbols out of a neural architecture
Genre classification using chords and stochastic language models
Beyond the individual: new insights on language, cognition and robots
Towards Malay named entity recognition: an open-source dataset and a multi-task framework
Accelerating AI performance with the incorporation of TVM and MediaTek NeuroPilot
Reducing Variance of Committee Prediction with Resampling Techniques
redefining the rules: providing race models with a connectionist learning rule
GP-GCN: Global features of orthogonal projection and local dependency fused graph convolutional networks for aspect-level sentiment classification
Predicting algorithm of attC site based on combination optimization strategy
Deep blur detection network with boundary-aware multi-scale features
Multiple instantiation and rule mediation in SHRUTI
The emergence and evolution of linguistic structure: from lexical to grammatical communication systems
Simple models of distributed co-ordination
Toward cost-effective quantum circuit simulation with performance tuning techniques
TS-WRSVM: twin structural weighted relaxed support vector machine
Circuit sharing and the implementation of intelligent systems
A constructive model for the development of joint attention
DiPRA: a layered agent architecture which integrates practical reasoning and sensorimotor schemas
CNN Convolutional layer optimisation based on quantum evolutionary algorithm
Matching heterogeneous ontologies with adaptive evolutionary algorithm
Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting
Establishment and mapping of heterogeneous anomalies in network intrusion datasets
A team-based multitask data acquisition scheme under time constraints in mobile crowd sensing
A novel bias-alleviated hybrid ensemble model based on over-sampling and post-processing for fair classification
What/when causal expectation modelling applied to audio signals
Adaptive weights learning in CNN feature fusion for crime scene investigation image classification
Artificial motives: a review of motivation in artificial creatures
The classification game: combining supervised learning and language evolution
Threat analysis model to control IoT network routing attacks through deep learning approach
A neural implementation of Bayesian inference based on predictive coding
Coding the Output of a Feedforward Neural Net
Mathematical theology
Evolving cognitive scaffolding and environment adaptation: a new research direction for evolutionary robotics
Cost-sensitive regression learning on small dataset through intra-cluster product favoured feature selection
Visceral obesity and psychosocial stress: a generalised control theory model
A multi-factorial evolutionary algorithm concerning diversity information for solving the multitasking Robust Influence Maximization Problem on networks
Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding
A computational model of the cognitive impact of decorative elements on the perception of suspense
A ganglion-cell-based primary image representation method and its contribution to object recognition
A defence of functional modularity
EPSRC Principles of Robotics: defending an obsolete human(ism)?
Using genetic programming for context-sensitive feature scoring in classification problems
Composition pattern-aware web service recommendation based on depth factorisation machine
What is beautiful is not always good: influence of machine learning-derived photo attractiveness on intention to initiate social interactions in mobile dating applications
Robot transparency, trust and utility
Multi-objective clustering: a kernel based approach using Differential Evolution
Beyond familiar landmarks and integrated routes: goal-oriented navigation by birds
ZigZag transform with Durstenfeld shuffle for fast and secure image encryption
Generative adversarial deep learning model for producing location-based synthetic trajectory data
Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms
Evolutionary computation for bottom-up hypothesis generation on emotion and communication
Actively Searching for an Effective Neural Network Ensemble
5GSS: a framework for 5G-secure-smart healthcare monitoring
MFITN-E2NetGA: a transformer-based multi-level fusion framework for multi-class respiratory disease classification from lung sounds
Dynamic interaction of attractors across multiple cortical networks as a neural basis for intersensory facilitation
Direct back propagation neural dynamic programming-based particle swarm optimisation
Methodological Assumptions of DETE Project Revisited: Association-based Learning Requires Complex Architectures
A Neural Architecture for Content as well as Address-based Storage and Recall: Theory and Applications
A novel architecture for efficient pedestrian detection in autonomous vehicles
Turning the tables on the Turing test: the Spivey test
Discovery of effective infrequent sequences based on maximum probability path
Fractional power series neural network for solving delay fractional optimal control problems
Time anomaly detection in the duration of civil trials in Italian justice
A continual learning framework to train robust image recognition models by adversarial training and knowledge distillation
Security situational awareness of power information networks based on machine learning algorithms
Providing social scaffolding for effective agent communities
Combining Boolean Neural Architectures for Image Recognition
Holistic Computation: Reconstructing a Muddled Concept
The emergence of linguistic form in time
Game level layout generation using evolved cellular automata
Research on social recommendation algorithm based on fuzzy subjective trust
CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores
Knowledge reasoning with multiple relational paths
Self-organised manifold learning and heuristic charting via adaptive metrics
S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis
Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems
A Topological Semantics for Rule Extraction with Neural Networks
Simplified cerebellum-like spiking neural network as short-range timing function for the talking robot
A novel framework for Chinese personal sensitive information detection
An edge streaming data processing framework for autonomous driving
Understanding Musical Sound with Forward Models and Physical Models
Macroscopic analysis of robot foraging behaviour
Control of consolidation in neural networks: avoiding runaway effects
Dynamic emphatical narration for reduced authorial burden and increased user freedom in interactive storytelling
Ensemble Learning Using Decorrelated Neural Networks
Predictive models in the brain
A formally verified authentication protocol in secure framework for mobile healthcare during COVID-19-like pandemic
Design and analysis of quantum machine learning: a survey
Syntactic systematicity arising from semantic predictions in a Hebbian-competitive network
Solution of the one-dimensional Bratu equation arising in the fuel ignition model using ANN optimised with PSO and SQP
Speaker Normalization and Model Selection of Combined Neural Networks
A Consideration of the Biological and Psychological Foundations of Autonomous Robotics
ASM-VoFDehaze: a real-time defogging method of zinc froth image
Dual conditional GAN based on external attention for semantic image synthesis
Fuzzy kernel feature selection with multi-objective differential evolution algorithm
A new method for weighted ensemble clustering and coupled ensemble selection
Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams
Special Issue on Evolutionary Learning and Optimisation
A novel image compression technology based on vector quantisation and linear regression prediction
B-RAAM: A Connectionist Model which Develops Holistic Internal Representations of Symbolic Structures
Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts
The emergence of links between lexical acquisition and object categorization: a computational study
The robot in the mirror
Bootstrap learning of foundational representations
Structural reinforcement-based graph convolutional networks
What makes virtual agents believable?
Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm
Android science: conscious and subconscious recognition
FastPFM: a multi-scale ship detection algorithm for complex scenes based on SAR images
A multi-dimension traceable privacy-preserving prevention and control scheme of the COVID-19 epidemic based on blockchain
An Interleaved Artificial Bee Colony algorithm for dynamic optimisation problems
Trading in markets with noisy information: an evolutionary analysis
A biophysical implementation of a bidirectional graph search algorithm to solve multiple goal navigation tasks
Energy-efficient control of thermal comfort in multi-zone residential HVAC via reinforcement learning
Early diagnosis of Alzheimer's disease using dual GAN model with pyramid attention networks
Robust coal granularity estimation via deep neural network with an image enhancement layer
Image super-resolution reconstruction based on multi-scale dual-attention
Synchronisation of 6D hyper-chaotic system with unknown parameters in the presence of disturbance and parametric uncertainty with unknown bounds
EIoU-distance loss: an automated team-wise player detection and tracking with jersey colour recognition in soccer
IPFS-blockchain-based delegation model for internet of medical robotics things telesurgery system
Cognition and the computational power of connectionist networks
Simulating autonomous coupling in discrimination of light frequencies
TCN enhanced novel malicious traffic detection for IoT devices
Learning classifier system ensemble and compact rule set
What is a grandmother cell? And how would you know if you found one?
A behaviour instantiation agent architecture
Constituent similarity and systematicity: the limits of first-order connectionism
Artificial immune system based on adaptive clonal selection for feature selection and parameters optimisation of support vector machines
eXING-IoT conceptual framework for explainability integration in next generation-IoT
How infants' reaches reveal principles of sensorimotor decision making
A unified dynamic neural field model of goal directed eye movements
Drum-mate: interaction dynamics and gestures in human-humanoid drumming experiments
AMGNET: multi-scale graph neural networks for flow field prediction
Analyzing execution path non-determinism of the Linux kernel in different scenarios
An extrinsic random-based ensemble approach for android malware detection
Learning through experience: an emergent connectionist account of letter production behaviour
Error Correlation and Error Reduction in Ensemble Classifiers
Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer's disease
Generalisation benefits of output gating in a model of prefrontal cortex
Embodiment: a cross-disciplinary provocation
Hierarchical multi-instance multi-label learning for Chinese patent text classification
Multi-constraints active learning assisted deep-ensemble spatio-textural feature learning model for violence detection in surveillance dataset
improved self-organization with an alternative inhibition gradient in calmmap networks
A computational approach to negative priming
Adaptive Resonance Theory-based Modular Networks for Incremental Learning of Hierarchical Clusterings
BFS: A blockchain-based financing scheme for logistics company in supply chain finance
A novel data representation framework based on nonnegative manifold regularisation
Diagnosis of contamination discharge state of porcelain insulators based on GA-CNN
Four PPPPerspectives on computational creativity in theory and in practice
Simulation research on safety detection of pattern rope jumping motion based on large data background
Theory, practice and performance
Enhancing generalization of cross-domain intrusion detection: a heterogeneous deep stacked ensemble approach
The Emergence of a 'Language' in an Evolving Population of Neural Networks
Improving collective interpretation by extended potentiality assimilation for multi-layered neural networks
NFMF: neural fusion matrix factorisation for QoS prediction in service selection
A connectionist approach to processing dimensional interaction
A secure and efficient data deduplication framework for the internet of things via edge computing and blockchain
Making a Low-dimensional Representation Suitable for Diverse Tasks
Digital Confucius? Exploring the implications of artificial intelligence in spiritual education
Optimisation of engineering system using a novel search algorithm: the Spacing Multi-Objective Genetic Algorithm
A novel artificial immune clonal selection classification and rule mining with swarm learning model
Structure and weights optimisation of a modified Elman network emotion classifier using hybrid computational intelligence algorithms: a comparative study
An enhanced text classification model by the inverted attention orthogonal projection module
Few-shot segmentation based on multi-level and cross-scale clustering
GCN-based weakly-supervised community detection with updated structure centres selection
Pictorial reasoning with cell assemblies
Dynamic statistical models of biological cognition: insights from communications theory
SRDD: a lightweight end-to-end object detection with transformer
Adaptation of Learning Rule Parameters Using a Meta Neural Network
Experiments in socially guided exploration: lessons learned in building robots that learn with and without human teachers
Simulation of the introduction of new technologies in air traffic management
Hybrid CNN XGBoost intrusion detection approach tuned by modified sine cosine algorithm towards better cloud security
A corpus-based connectionist architecture for large-scale natural language parsing
Distributed reinforcement learning for adaptive and robust network intrusion response
Human body contour extraction method based on human skeleton key point guidance
Editorial: Ethical Principles of Robotics
Multiple-resolution classification with combination of density estimators
Emergent latent symbol systems in recurrent neural networks
Empirical study of privacy inference attack against deep reinforcement learning models
Learning acceptable windows of contingency
Towards an investigation of speech energetics using 'AnTon': an animatronic model of a human tongue and vocal tract
Incremental Robot Shaping
Reflections on the EPSRC Principles of Robotics from the new far-side of the law
(S)RAAM: An Analytical Technique for Fast and Reliable Derivation of Connectionist Symbol Structure Representations
Dependable workflow management system for smart farms
PrivBCS: a privacy-preserving and efficient crowdsourcing system with fine-grained worker selection based on blockchain
Discovery, utilisation and analysis of credible threats for 2×2 incomplete information games in the Theory of Moves framework
Modular Neural Networks for Medical Prognosis: Quantifying the Benefits of Combining Neural Networks for Survival Prediction
Discovering communication
Neural networks with a self-refreshing memory: knowledge transfer in sequential learning tasks without catastrophic forgetting
A novel CNN architecture for image restoration with implicit frequency selection
Visual illusions, solid/outline invariance and non-stationary activity patterns
Particle-based simulation technique for medical applications
On Combining Artificial Neural Nets
A systematic comparison of flat and standard cascade-correlation using a student-teacher network approximation task
Extracting road maps from high-resolution satellite imagery using refined DSE-LinkNet
Feature extraction method based on point pair hierarchical clustering
Issues of trust and control on agent autonomy
Evaluating performance variations cross cloud data centres using multiview comparative workload traces analysis
Towards the cognitive and psychological perspectives of crowd behaviour: a vision-based analysis
A blockchain-based transaction system with payment statistics and supervision
The role of cue information in the outcome-density effect: evidence from neural network simulations and a causal learning experiment
Towards Automated Artificial Evolution for Computer-generated Images
The identification of influential nodes based on structure similarity
PS-GCN: psycholinguistic graph and sentiment semantic fused graph convolutional networks for personality detection
CPW-DICE: a novel center and pixel-based weighting for damage segmentation
Modeling development of natural multi-sensory integration using neural self-organisation and probabilistic population codes
Selecting hybrids of metaheuristics for resource-constraint project scheduling problems with discounted cashflows
Shaping: a multiple contingencies analysis and its relevance to behaviour-based robotics
Comparative linguistic analysis framework of human-written vs. machine-generated text
Recognition of expiry data on food packages based on improved DBNet
The limits and robustness of reinforcement learning in Lewis signalling games
Comparative relation mining of customer reviews based on a hybrid CSR method
ScTCN-LightGBM: a hybrid learning method via transposed dimensionality-reduction convolution for loading measurement of industrial material
UAV mission scheduling with completion time, flight distance, and resource consumption constraints
Distributed, predictive perception of actions: a biologically inspired robotics architecture for imitation and learning
A knowledge-based system for prototypical reasoning
AWDS-net: automatic whole-field segmentation network for characterising diverse breast masses
Hybridization and Specialization of Real-time Recurrent Learning-based Neural Networks
A multimodal hybrid parallel network intrusion detection model
A spiking half-cognitive model for classification
Affective feature knowledge interaction for empathetic conversation generation
High capacity, small world associative memory models
Incremental learning based two-level multimodal data fusion model for Alzheimer disease prediction on different data modalities
Multi-stream part-fused graph convolutional networks for skeleton-based gait recognition
SysML-based compositional verification and safety analysis for safety-critical cyber-physical systems
Analysing musical performance through functional data analysis: rhythmic structure in Schumann's Träumerei
Monocular 3D object detection with thermodynamic loss and decoupled instance depth
Performance analysis of an improved forked communication network model
Counting and measuring the size and stomach fullness levels for an intelligent shrimp farming system
A Multi-robot System for Adaptive Exploration of a Fast-changing Environment: Probabilistic Modeling and Experimental Study
AICOM-MP: an AI-based monkeypox detector for resource-constrained environments
The cultural evolution of communication in a population of neural networks
Analysis-adjustment-synthesis networks
The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness
A hybrid self-adaptive invasive weed algorithm with differential evolution
GASN: gamma distribution test for driver genes identification based on similarity networks
FPGA-oriented lightweight multi-modal free-space detection network
Greedy information acquisition algorithm: a new information theoretic approach to dynamic information acquisition in neural networks
Optimisation of a honeybee-colony's energetics via social learning based on queuing delays
An efficiency control strategy of dual-motor multi-gear drive algorithm
Lack of combinatorial productivity in language processing with simple recurrent networks
Novel fruit fly algorithm for global optimisation and its application to short-term wind forecasting
Density Plots of Hidden Value Unit Activations Reveal Interpretable Bands
Lightweight multilayer interactive attention network for aspect-based sentiment analysis
EPSRC Principles of Robotics: commentary on safety, robots as products, and responsibility
Cue prompt adapting model for relation extraction
How COVID-19 impacts telehealth: an empirical study of telehealth services, users and the use of metaverse
A Neural Network Construction Algorithm which Maximizes the Likelihood Function
'Feeling' the flow of time through sensorimotor co-ordination
Preventing combinatorial explosion in a localist, neural network architecture using temporal synchrony
A sigmoid attractiveness based improved firefly algorithm and its applications in IIR filter design
Deep learning computer vision system for estimating sheep age using teeth images
Vulnerable users: deceptive robotics
Preface to the special issue: Adaptive Learning Agents, Part 1
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
A point and density map hybrid network for crowd counting and localization based on unmanned aerial vehicles
Reflections on geometry and navigation
An Ear for Melody
An evolutionary performance-enhanced PSO approach by using a BP neural-learning-based PID controller
Automatic classification method of liver ultrasound standard plane images using pre-trained convolutional neural network
Active learning for deep object detection by fully exploiting unlabeled data
Evolution of Neural Controllers for Locomotion and Obstacle Avoidance in a Six-legged Robot
Solving optimal control problems of the time-delayed systems by a neural network framework
Vital node searcher: find out critical node measure with deep reinforcement learning
Collaborative filtering recommendation using fusing criteria against shilling attacks
Hybrid feature learning framework for the classification of encrypted network traffic
Binary atom search optimisation approaches for feature selection
Harmonizing Music the Boltzmann Way