yusuke1997/dblp-id-title huggingface dataset:
Edge-based sequential graph generation with recurrent neural networks
Unsupervised fuzzy temporal knowledge graph entity alignment via joint fuzzy semantics learning and global structure learning
Hoodie: Hierarchical point cloud and latent code diffusion for joint and conditional generation
Automatic detection of neovascularization in retinal images using extreme learning machine
Joint maps for orientation, eye, and direction preference in a self-organizing model of V1
Individual vs. group dynamics: Impacts on equilibrium states in self-organizing systems
A unified multi-label classification framework with supervised low-dimensional embedding
Scalp EEG epileptogenic zone recognition and localization based on long-term recurrent convolutional network
Broadcasting-based Cucker-Smale flocking control for multi-agent systems
Video summarization via spatio-temporal deep architecture
Zero-shot neural architecture search with weighted response correlation
Global mutual information-based feature selection approach using single-objective and multi-objective optimization
In the eyes of a language model: A comprehensive examination through eye-tracking data
Electrode regulating system modeling in electrical smelting furnace using recurrent neural network with attention mechanism
Modal regression based greedy algorithm for robust sparse signal recovery, clustering and classification
Exploring more concentrated and consistent activation regions for cross-domain semantic segmentation
Semi-supervised sparse representation classifier ( S 3 RC ) with deep features on small sample sized hyperspectral images
Deep learning-based aerial image segmentation with open data for disaster impact assessment
Structure preserving unsupervised feature selection
Dealing with written language semantics by a connectionist model of cognitive reading
Adaptive Regularized Warped Gradient Descent Enhances Model Generalization and Meta-learning for Few-shot Learning
Bayesian filter based on the wisdom of crowds
VIV: Using visible internal volume to compute junction-aware shape descriptor of 3D articulated models
ISTD-DETR: A deep learning algorithm based on DETR and Super-resolution for infrared small target detection
Kernel learning over the manifold of symmetric positive definite matrices for dimensionality reduction in a BCI application
Hypnos: A domain-specific large language model for anesthesiology
Reciprocal excitatory synapses convert pacemaker-like firing into burst firing in a simple model of coupled neurons
An effective local regional model based on salient fitting for image segmentation
Accurate TOF measurement of ultrasonic signal echo from the liquid level based on a 2-D image processing method
Nuclear norm based adapted occlusion dictionary learning for face recognition with occlusion and illumination changes
Generalizable 3D Gaussian splatting via multi-view stereo and consistency constraints
Deep convolutional extreme learning machines: Filters combination and error model validation
Learning visual stabilization reflexes in robots with moving eyes
Leader-following consensus of multi-agent systems under antagonistic networks
Dynamic selection of forecast combiners
Parameter estimation of Hammerstein-Wiener nonlinear system with noise using special test signals
A mixture-of-experts prior-posterior fusion framework for predicting the remaining useful life of aerospace high-speed bearings
Food image classification using local appearance and global structural information
Squeezing bottlenecks: Exploring the limits of autoencoder semantic representation capabilities
Model of the propagation of synchronous firing in a reduced neuron network
Billion-scale pre-trained knowledge graph model for conversational chatbot
Special issue on fundamental and information processing aspects of neurocomputing
Acceleration of grokking in learning arithmetic operations via Kolmogorov-Arnold representation
L-C4: Language-based video colorization for creative and consistent color
Semantic rewiring mechanism of neural cross-supramodal integration based on spatial and temporal properties of attention
Person re-identification based on multi-instance multi-label learning
Combination of spatio-temporal and transform domain for sparse occlusion estimation by optical flow
The convergence and termination criterion of quantum-inspired evolutionary neural networks
Salient object segmentation for image composition: A case study of group dinner photo
Optimal H ∞ fusion filters for a class of discrete-time intelligent systems with time delays and missing measurement
A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series
Part-facial relational and modality-style attention networks for heterogeneous face recognition
Engineering of intelligent systems (ICEIS 2006)
Image deblurring with filters learned by extreme learning machine
Further result on asymptotic stability criterion of neural networks with time-varying delays
ConvTKG: A query-aware convolutional neural network-based embedding model for temporal knowledge graph completion
Robust inferential sensor development based on variational Bayesian Student's- t mixture regression
Fast total-variation based image restoration based on derivative alternated direction optimization methods
Adaptive cooperative dynamic surface control of non-strict feedback multi-agent systems with input dead-zones and actuator failures
Cross-domain video action recognition via adaptive gradual learning
Modified firefly algorithm based multilevel thresholding for color image segmentation
Video super-resolution with 3D adaptive normalized convolution
A novel entropy-constrained competitive learning algorithm for vector quantization
Cascade architecture with rhetoric long short-term memory for complex sentence sentiment analysis
Boosted Convolutional Neural Network for object recognition at large scale
Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography
Bayesian non-parametric gradient histogram estimation for texture-enhanced image deblurring
Multi-scale local cues and hierarchical attention-based LSTM for stock price trend prediction
Approximate optimal control for an uncertain robot based on adaptive dynamic programming
Optimized deep learning model for comprehensive medical image analysis across multiple modalities
Learning in a neural network model in real time using real world stimuli
Improving AI-assisted video editing: Optimized footage analysis through multi-task learning
A novel modularity-based discrete state transition algorithm for community detection in networks
Anomaly detection via short local trajectories
A very stochastic resonant neuron model
Least squares KNN-based weighted multiclass twin SVM
A simple primal-dual algorithm for nuclear norm and total variation regularization
Rough sets as a front end of neural-networks texture classifiers
ChiGa-Net: A genetically optimized neural network with refined deeply extracted features using χ2 statistical score for trustworthy Parkinson's disease detection
Modelling of double reset spiking neuron and Fitzhugh-Nagumo equations with coupling kernel functions
ReZG: Retrieval-augmented zero-shot counter narrative generation for hate speech
Example-based super-resolution via social images
Face recognition based on recurrent regression neural network
LLM guided counterfactual reasoning for zero-shot knowledge based visual question answering
An incremental structured part model for object recognition
Necessary and sufficient conditions for containment control of fractional-order multi-agent systems
A face and fingerprint identity authentication system based on multi-route detection
Digital hardware realization of a recurrent neural network for solving the assignment problem
A deep learning based trust- and tag-aware recommender system
Topical Co-Attention Networks for hashtag recommendation on microblogs
Toward extracting and exploiting generalizable knowledge of deep 2D transformations in computer vision
The SIFT based two-stage STC decoupled learning method for long-tailed SAR target recognition
Adaptive finite-time passivity and synchronization of coupled fractional-order memristive neural networks with multi-state couplings
Meta-survey on outlier and anomaly detection
Joint learning of motion deblurring and defocus deblurring networks with a real-world dataset
A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction
Coevolutionary multi-task learning for feature-based modular pattern classification
Secondary delay-partition approach to finite-time stability analysis of delayed genetic regulatory networks with reaction-diffusion terms
Enhancing intent understanding for ambiguous prompt: A human-machine co-adaption strategy
Fan-in analysis of a leaky integrator circuit using charge transfer synapses
Spikeformer: Training high-performance spiking neural network with transformer
Hand fine-motion recognition based on 3D Mesh MoSIFT feature descriptor
New sufficient conditions for global stability of neutral-type neural networks with time delays
Data visualization for asymmetric relations
An intelligent swarm based-wavelet neural network for affective mobile phone design
Multi-source temporal knowledge graph embedding for edge computing enabled internet of vehicles
Knowledge interaction graph attention network for multi-behavior recommendation
Beyond dimensionality explosion: A latent diffusion framework for hyperspectral image classification
Multi-source propagation aware network clustering ☆
Detection of video transcoding from AVC to HEVC based on Intra Prediction Feature Maps
Dynamic brain network evolution in normal aging based on computational experiments
A hand shape instruction recognition and learning system using growing SOM with asymmetric neighborhood function
DFS-generated pathways in GA crossover for protein structure prediction
TVCAR models for forecasting
Somatic mutation detection using ensemble of flexible neural tree model
Spatial orientation in navigating agents: Modeling head-direction cells
A survey of crowd counting and density estimation based on convolutional neural network
Reliable stabilization for memristor-based recurrent neural networks with time-varying delays
Combining central pattern generators and reflexes
A fast and efficient pre-training method based on layer-by-layer maximum discrimination for deep neural networks
Robust adaptive neural control for pure-feedback stochastic nonlinear systems with Prandtl-Ishlinskii hysteresis
Principled reward shaping for reinforcement learning via lyapunov stability theory
Asynchronous H ∞ filtering for discrete-time Markov jump neural networks
Adaptive neural control for high order Markovian jump nonlinear systems with unmodeled dynamics and dead zone inputs
PFWNet: Pretraining neural network via feature jigsaw puzzle for weakly-supervised temporal action localization
η ( t )-consensus of multi-agent systems with directed graphs via event-triggered principles
Adaptive fuzzy control of switched nonlinear systems with uncertain dead-zone: A mode-dependent fuzzy dead-zone model
A spiking network that learns to extract spike signatures from speech signals
Optimizing FPGA-based YOLO series accelerators: A survey of techniques
Ultrahigh-definition video quality assessment: A new dataset and benchmark
An event-triggered recursive state estimation approach for time-varying nonlinear complex networks with quantization effects
Active learning with extremely sparse labeled examples
Multiple texture information fusion for finger-knuckle-print authentication system
Sound localization at high frequencies and across the frequency range
Privacy-preserving and Byzantine-robust federated broad learning with chain-loop structure
Convergence of online gradient method for feedforward neural networks with smoothing L 1/2 regularization penalty
Unsupervised feature selection by regularized matrix factorization
Robust adaptive neural network control for a class of uncertain nonlinear systems with actuator amplitude and rate saturations
Hybrid supervised instance segmentation by learning label noise suppression
Competitive stochastic neural networks for Vector Quantization of images
A novel approach for classification of mental tasks using multiview ensemble learning (MEL)
Observer-based incremental backstepping sliding-mode fault-tolerant control for blended-wing-body aircrafts
RLBoost: Boosting supervised models using deep reinforcement learning
Robust source-free domain adaptation with anti-adversarial samples training
Hubness-aware kNN classification of high-dimensional data in presence of label noise
Hardware architecture for large parallel array of Random Feature Extractors applied to image recognition
Parameter estimation of Takagi-Sugeno fuzzy system using heterogeneous cuckoo search algorithm
Single image dehazing based on pixel-wise transmission estimation with estimated radiance patches
Kernel collaborative representation based dictionary learning and discriminative projection
Feature extraction using Radon and wavelet transforms with application to face recognition
Kernelized random KISS metric learning for person re-identification
Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes
Improving Wang-Mendel method performance in fuzzy rules generation using the fuzzy C-means clustering algorithm
A novel positive-negative graph convolutional network-based fault diagnosis method with application to complex systems
Demographic classification from face videos using manifold learning
Face detection using representation learning
Hierarchical block aggregation network for long-tailed visual recognition
Exudate-based diabetic macular edema recognition in retinal images using cascaded deep residual networks
Second-order consensus of matrix-weighted switched multiagent systems
External activity and the freedom to recode
Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems
SRFDet3D: Sparse Region Fusion based 3D Object Detection
Hierarchical line matching based on Line-Junction-Line structure descriptor and local homography estimation
Comparing content and context based similarity for musical data
Comprehensive design and analysis of time-varying delayed zeroing neural network and its application to matrix inversion
Consistent model selection for estimating functional interactions among stochastic neurons with variable-length memory
Tri-modality consistency optimization with heterogeneous augmented images for visible-infrared person re-identification
Action unit analysis enhanced facial expression recognition by deep neural network evolution
Latent low-rank tensor wheel decomposition for visual data completion
The role of action potential shape and parameter constraints in optimization of compartment models
Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences
Distributed formation tracking of multi-robot systems with nonholonomic constraint via event-triggered approach
Almost sure exponential synchronization of network systems under a new intermittent noise-diffusion layer
Mathematical modeling and computational analysis of neuronal cell images: Application to dendritic arborization of Golgi-impregnated neurons in dorsal horns of the rat spinal cord
A semi-supervised semantic-enhanced framework for scientific literature retrieval
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning
Interpretable domain adaptation using unsupervised feature selection on pre-trained source models
Joint image representation and classification in random semantic spaces
Some computational aspects of the kindling model for neuropsychiatric disorders
GMS: Graph-Guided Multi-Modal Spatio-Temporal Fusion model for trajectory prediction in autonomous driving
A granular-oriented development of functional radial basis function neural networks
Evaluation of Kinect2 based balance measurement
Multi-label feature selection based on label distribution and neighborhood rough set
Kernel sparse representation with pixel-level and region-level local feature kernels for face recognition
Distributed leader-following consensus of heterogeneous second-order time-varying nonlinear multi-agent systems under directed switching topology
Interactive evolutionary algorithms with decision-maker's preferences for solving interval multi-objective optimization problems
Nonlinear discriminant analysis based on vanishing component analysis
Existence and stability of periodic solution for mixed time-varying delayed neural networks with discontinuous activations
Summary-aware attention for social media short text abstractive summarization
Social space keyword query based on semantic trajectory
Feature reduction based on semantic similarity for graph classification
Physics-informed convolution gated recurrent unit network for solving an inverse problem
External termination of recurrent bursting in a model of connected local neural sub-networks
Roles of pre-training in deep neural networks from information theoretical perspective
Hybrid pooling for enhancement of generalization ability in deep convolutional neural networks
Efficient network compression via gradient-score aware pruning
LVSA: Lightweight and verifiable secure aggregation for federated learning
Conserved temporal dynamics and vector superposition of primitives in frog wiping reflexes during spontaneous extensor deletions
Evolutionary convolutional neural networks: An application to handwriting recognition
Neural-network-based decentralized control of continuous-time nonlinear interconnected systems with unknown dynamics
Bio-molecular cancer prediction with random subspace ensembles of support vector machines
Self-adaptive logit balancing for deep neural network robustness: Defence and detection of adversarial attacks
Improving fall detection by the use of depth sensor and accelerometer
A probabilistic model of eye movements in concept formation
Neural Systems in Distributed Computing and Artificial Intelligence
Exemplar-based 3D human pose estimation with sparse spectral embedding
Hierarchical estimation of neural activity through explicit identification of temporally synchronous spikes
Creating memorable video summaries that satisfy the user's intention for taking the videos
DLDL: Dynamic label dictionary learning via hypergraph regularization
Dynamical behaviors of the computational model in Parkinsonian state under the effect of electromagnetic induction
The KIV model - nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain
Stability analysis of delayed neural networks based on improved quadratic function condition
Informative conditions for a data set in an MIMO networked control system
Aligned variational autoencoder for matching danmaku and video storylines
Observer-based distributed consensus for multi-agent systems with directed networks and input saturation
Towards multi-fusion graph neural network for single-cell RNA sequence clustering
Hybrid CMOS-Memristive Convolutional computation for on-chip learning
A modified pulse coupled neural network for shortest-path problem
Analysis of the errors in the modelling of manipulators with Gaussian RBF neural networks
Modeling of nonlinear systems using the self-organizing fuzzy neural network with adaptive gradient algorithm
Perception oriented transmission estimation for high quality image dehazing
A new perspective for Minimal Learning Machines: A lightweight approach
Weighted doubly regularized support vector machine and its application to microarray classification with noise
Low-rank representation with local constraint for graph construction
Robust model predictive control for constrained networked nonlinear systems: An approximation-based approach
Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training
Multi-software reliability allocation in multimedia systems with budget constraints using Dempster-Shafer theory and improved differential evolution
Sampled-data synchronization control for Markovian delayed complex dynamical networks via a novel convex optimization method
Uniqueness theorems for kernel methods
Locally discriminative spectral clustering with composite manifold
Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold
Artifact suppression from EEG signals using data adaptive time domain filtering
Charging stations expansion planning under government policy driven based on Bayesian regularization backpropagation learning
Fuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning
Diversity augmentation and multi-fuzzy label for semi-supervised semantic segmentation
A visual place recognition approach using learnable feature map filtering and graph attention networks
TOSI: A trust-oriented social influence evaluation method in contextual social networks
Learning Bayesian networks using A* search with ancestral constraints
Robust object tracking based on local region sparse appearance model
Development of multi-cluster cortical networks by time windows for spatial growth
CoFM: Alternating convolution and frequency module is also strong for visual recognition
Determination of multiple direction of arrival in antennas arrays with radial basis functions
Double sparse low rank decomposition for irregular printed fabric defect detection
Imperialist competitive algorithm optimized artificial neural networks for UCAV global path planning
Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm
Geometric measures of entanglement in multipartite pure states via complex-valued neural networks
Joint feature extraction for multi-source data using similar double-concentrated network
Data clustering using a linear cellular automata-based algorithm
On-line pattern analysis by evolving self-organizing maps
RFID-enabled indoor positioning method for a real-time manufacturing execution system using OS-ELM
Adaptive spiking convolutional network for decoding motor imagery patterns
VI-PINNs: Variance-involved physics-informed neural networks for fast and accurate prediction of partial differential equations
RRA-FFSCIL: Inter-intra classes representation and relationship augmentation federated few-shot incremental learning
Periodicity of impulsive Cohen-Grossberg-type fuzzy neural networks with hybrid delays
A general fuzzified CMAC based reinforcement learning control for ship steering using recursive least-squares algorithm
Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems
Recognition and action for scene understanding
Fast unsupervised learning for visual pattern recognition using spike timing dependent plasticity
Emergence of sequential dynamical invariants in central pattern generators from auto-organized constraints in their sequence time intervals
Sensory representation spaces in neuroscience and computation
A realistic computational model of formation and variability of tonotopic maps in the auditory cortex
Attribute-aware heterogeneous graph network for fashion compatibility prediction
Improved exponential stability criterion for neural networks with time-varying delay
Neurospaces parameter handling
TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning
Guest Editorial: Special issue on artificial brains
Distributed optimization for deep learning with gossip exchange
Unified non-uniform scale adaptive sampling model for quality assessment of natural scene and screen content images
EKCA-Cap: Improving dense captioning via external knowledge and context awareness
The performance evaluation of a new neural network-based traffic management scheme for a satellite communication network
A probabilistic definition of salient regions for image matching
A deep neural architecture for harmonizing 3-D input data analysis and decision making in medical imaging
Sparse Cascade: Multi-stage cascade fusion and shape dictionary guided network for segmentation of microscopic cytology images
Multi-objective clustering ensemble for gene expression data analysis