yusuke1997/dblp-id-title huggingface dataset:
Low-light image enhancement with knowledge distillation
Saliency-aware image-to-class distances for image classification
Contrast saturation in a neuronally-based model of elementary motion detection
Consensus of linear multi-agent systems via reduced-order observer
Spikes that count: rethinking spikiness in neurally embedded systems
Simulation of a vertebrate receptor cell of the olfactory epithelium for use in network models
Self-supervised graph convolutional clustering by preserving latent distribution
Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis
AdvOT: Oblivious transfer based on generative adversarial networks against multiple attackers
Event Bank based multimedia representation via latent group logistic regression minimization
Applications of information channels to physics-informed neural networks for WiFi signal propagation simulation at the edge of the industrial internet of things
Stability analysis of recurrent neural networks with interval time-varying delay via free-matrix-based integral inequality
Global quasi-synchronization and global anti-synchronization of delayed neural networks with discontinuous activations via non-fragile control strategy
Future-guided offline imitation learning for long action sequences via video interpolation and future-trajectory prediction
A new quality assessment criterion for nonlinear dimensionality reduction
A visual long-short-term memory based integrated CNN model for fabric defect image classification
Modeling implicit bias with fuzzy cognitive maps
Nonlinear RISE based integral reinforcement learning algorithms for perturbed Bilateral Teleoperators with variable time delay
A joint-L 2, 1 -norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis
Cooperative tracking for nonlinear multi-agent systems with hybrid time-delayed protocol
A combined robust fuzzy time series method for prediction of time series
Extraordinary MHNet: Military high-level camouflage object detection network and dataset
A review of transformer-based human pose estimation: Delving into the relation modeling
Robust stability analysis of generalized neural networks with multiple discrete delays and multiple distributed delays
Machine learning for stuttering identification: Review, challenges and future directions
A novel transferability attention neural network model for EEG emotion recognition
A new fast reduction technique based on binary nearest neighbor tree
Exploiting dependency information to improve biomedical event detection via gated polar attention mechanism
A hybrid particle swarm optimization algorithm for load balancing of MDS on heterogeneous computing systems
Nonfragile asynchronous control for fuzzy Markov jump systems with packet dropouts
A heuristic approach to HLCA-based feature extraction using a GRU model for Parkinson's disease detection
Event-triggered circle formation control for second-order-agent system
Full-adaptive THEN-part equipped fuzzy wavelet neural controller design of FACTS devices to suppress inter-area oscillations
Multi-graph feature level fusion for person re-identification
BeeOWA: A novel approach based on ABC algorithm and induced OWA operators for constructing one-class classifier ensembles
Non-rigid multi-modal brain image registration based on two-stage generative adversarial nets
Analysis of cortical connectivity using Hopfield neural network
Human articulated body recognition method in high-resolution monitoring images
Segmentation of glioma tumors in brain using deep convolutional neural network
Optimizing recurrent reservoirs with neuro-evolution
TD-IVDM: A multi-scale concept drift detection method for time series forecasting tasks
Finding regions of interest using location based social media
Sampled-data-based synchronization of matrix-weighted multi-layer complex networks via pinning control
Learning Hough regression models via bridge partial least squares for object detection
A multi-level semantic-assisted unsupervised heterogeneous network representation learning model
Finite-time bipartite synchronization control of coupled inertial neural networks over sign graph
New stability criterion of fractional-order impulsive coupled non-autonomous systems on networks
Rhythmic control of oscillatory sequential dynamics in heteroclinic motifs
Location based authentication scheme using BLE for high performance digital content management system
EEG-based intention recognition with deep recurrent-convolution neural network: Performance and channel selection by Grad-CAM
Recurrent neural network for approximate nonnegative matrix factorization
Global Entropy Pooling layer for Convolutional Neural Networks
Structured orthogonal matching pursuit for feature selection
Distribution agnostic Bayesian matching pursuit based on the exponential embedded family
Human attention based movie summarization: Dataset and baseline model
Mood-aware visual question answering
Extending Laplacian sparse coding by the incorporation of the image spatial context
Adaptive neural control for a general class of pure-feedback stochastic nonlinear systems
A generalized Spiking Locally Competitive Algorithm for multiple optimization problems
A hierarchical depression detection model based on vocal and emotional cues
RoLED: Role-disentangled graph neural network for both homophily and heterophily
Pattern recognition approach to identify loose particle material based on modified MFCC and HMMs
A new robust data hiding method for H.264/AVC without intra-frame distortion drift
A novel hand-drawn sketch descriptor based on the fusion of multiple features
High-feasibility parafoil dynamic formation real-time adaptive trajectory planning based on ABC-MASAC in complex environments
A hierarchical k-means clustering based fingerprint quality classification
Integrated modular Bayesian networks with selective inference for context-aware decision making
Analysis of the electronic integrate and fire neuron model
Robust social recommendation based on contrastive learning and dual-stage graph neural network
Computationally efficient nonlinear predictive control based on neural Wiener models
Att-MoE: Attention-based Mixture of Experts for nuclear and cytoplasmic segmentation
Two-view fine-grained classification of plant species
Deep convolutional neural network based fractional-order terminal sliding-mode control for robotic manipulators
A survey on deep learning based Point-of-Interest (POI) recommendations
Robust leak localization in water distribution networks using computational intelligence
Distillation guided deep unfolding network with frequency hierarchical regularization for low-dose CT image denoising
Single image haze removal via attention-based transmission estimation and classification fusion network
A multi-scale reconstruction method for the anomaly detection in stochastic dynamic networks
Cyclic maximization of non-Gaussianity for blind signal extraction of complex-valued sources
Fully aperiodic intermittent pinning control for exponential bipartite synchronization of multilayer signed stochastic coupled neural networks
A hybrid memetic algorithm for global optimization
Triangle chain codes for image matching
Improved quasi-synchronization criteria for delayed fractional-order memristor-based neural networks via linear feedback control
Four actor-critic structures and algorithms for nonlinear multi-input multi-output system
Signatures of natural image statistics in cortical simple cell receptive fields
Plant miRNA function prediction based on functional similarity network and transductive multi-label classification algorithm
Adaptive fault-tolerant control for nonlinear high-order fully-actuated systems
Efficient learning of NN-MLP based on individual evolutionary algorithm
Resisting membership inference attacks through knowledge distillation
Delay aware transient stability assessment with synchrophasor recovery and prediction framework
Spatiotemporal prediction for nonlinear parabolic distributed parameter system using an artificial neural network trained by group search optimization
"Stream loss": ConvNet learning for face verification using unlabeled videos in the wild
Fixed-time stochastic outer synchronization in double-layered multi-weighted coupling networks with adaptive chattering-free control
DKPE: Deep KeyPhrase Expansion
RNN-based default logic for route planning in urban environments
Quantile pattern regression using twin extreme learning machines with smooth pinball loss
Semantic-based topic detection using Markov decision processes
Global synchronization of fractional-order quaternion-valued neural networks with leakage and discrete delays
Time series forecasting with the WARIMAX-GARCH method
Supervised and semi-supervised deep probabilistic models for indoor positioning problems
Sparse feature kernel multi-criteria linear programming classifier
Detecting multi-oriented text with corner-based region proposals
Constrained PCA techniques for the identification of common factors in data
Unsupervised recursive sequence processing
Convolutional neural network based on an extreme learning machine for image classification
A discrete memristive neural network and its application for character recognition
Audio-cued motor imagery-based brain-computer interface: Navigation through virtual and real environments
A comparative study on movement feature in different directions for micro-expression recognition
Manifold regularization based semisupervised semiparametric regression
The evidence framework applied to sparse kernel logistic regression
Towards information-rich, logical dialogue systems with knowledge-enhanced neural models
Bistability in oscillatory cortical modules
Set-membership filtering for discrete time-varying nonlinear systems with censored measurements under Round-Robin protocol
Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity
Transferring task models in Reinforcement Learning agents
A novel noise reduction and interaction enrichment recommendation model via contrastive learning
Auto-encoder based dimensionality reduction
Learning ordered pooling weights in image classification
Stable and efficient resource management using deep neural network on cloud computing
Saliency detection based on foreground appearance and background-prior
Applications of neural modeling in the new era for data and IT
Research on the natural image super-resolution reconstruction algorithm based on compressive perception theory and deep learning model
Dynamic regulation of spike-timing dependent plasticity in electrosensory processing
Stochastic approximation learning for mixtures of multivariate elliptical distributions
IncGridDBC: Incremental density-based clustering with grid partitioning on streaming data
LCL_FDA: Local context learning and full-level decoder aggregation network for large-scale point cloud semantic segmentation
Corrigendum to "An evolutionary network model of epileptic phenomena" [Neurocomputing 74 (4) (2011) 617-628]
SA-CapsGAN: Using Capsule Networks with embedded self-attention for Generative Adversarial Network
Micro-expression recognition based on direct learning of graph structure
Seeking the optimal accuracy-rate equilibrium in face recognition
Delay-dependent and delay-independent passivity of a class of recurrent neural networks with impulse and multi-proportional delays
Hybrid synchronization of coupled fractional-order complex networks
Emotion recognition via affective EEG signals: State of the art
Incremental support vector machine learning in the primal and applications
Multi-view unsupervised dimensionality reduction with probabilistic neighbors
Asymptotical state synchronization for the controlled directed complex dynamic network via links dynamics
Formal analysis on the DNN-kWTA model with non-ideal transfer function and noisy integrator
Ensemble learning based predictive framework for virtual machine resource request prediction
Finding complete minimum driver node set with guaranteed control capacity
ULMGNN: Fragmented layer grouping in GUI designs through graph learning based on multimodal information
A tutorial on signal energy and its applications
A parallel neural network based structural anomaly detection: Leveraging time-frequency domain features
DHGAT: Hyperbolic representation learning on dynamic graphs via attention networks
Neural bases of accumulator models
Skin disease diagnosis with deep learning: A review
Towards an efficient genetic algorithm optimizer for sequential projection pursuit
Fully distributed dynamic event-triggering formation control for multi-agent systems under DoS attacks: Theory and experiment
A high-performance and lightweight five-class white blood cell classification network optimized by attention mechanisms
Globalized and localized canonical correlation analysis with multiple empirical kernel mapping
Self-supervised reconstructed graph learning for link prediction in bipartite graphs
Simple recurrent neural network: A neural network structure for control systems
Exploiting constraint inconsistence for dimension selection in subspace clustering: A semi-supervised approach
Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis
Automatic visual enhancement of PTZ camera based on reinforcement learning
In depth analysis for securing the truth: Addressing the fake news challenge with graph neural networks
Non-stationary and stationary prediction of financial time series using dynamic ridge polynomial neural network
Cue RAG: Dynamic multi-output cue memory under H framework for retrieval-augmented generation
Adaptive OFDM underwater acoustic transmission: An adversarial bandit approach
Nonlinear metric learning for k NN and SVMs through geometric transformations
Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems
Layout optimization of large-scale oil-gas gathering system based on combined optimization strategy
Exploring deep gradient information for biometric image feature representation
On distributed online classification in the midst of concept drifts
DBC-Forest: Deep forest with binning confidence screening
Local analgesia adverse effects prediction using multi-label classification
Discriminative extreme learning machine with supervised sparsity preserving for image classification
From ℓ1 subgradient to projection: A compact neural network for ℓ1-regularized logistic regression
Nonparametric tensor dictionary learning with beta process priors
Ordered Decompositional DAG kernels enhancements
Adaptive decoupled strategy for robust and efficient low-rank matrix decomposition
Trifocal SLAM: A dynamic SLAM based on three frame views
Neuro-optimal control for a class of unknown nonlinear dynamic systems using SN-DHP technique
Event-triggered H ∞ state estimation for discrete-time stochastic genetic regulatory networks with Markovian jumping parameters and time-varying delays
Neural networks for power system condition monitoring and protection
A survey of automatic sarcasm detection: Fundamental theories, formulation, datasets, detection methods, and opportunities
Bas-relief modelling from enriched detail and geometry with deep normal transfer
Smooth shift control of an automatic transmission for heavy-duty vehicles
An overview on Restricted Boltzmann Machines
Efficient multi-currency classification of CIS banknotes
A constructive algorithm to synthesize arbitrarily connected feedforward neural networks
Bidirectional heuristic search to find the optimal Bayesian network structure
Genetic channel-optimized vector quantizer design for burst error channels
S2Trans: Structured spectrum transformer for robust unsupervised video object segmentation
Learning topology of a labeled data set with the supervised generative Gaussian graph
Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images
Simulation of dopamine modulation-based memory model
BILGO: Bilateral greedy optimization for large scale semidefinite programming
A simple functional neural network for computing the largest and smallest eigenvalues and corresponding eigenvectors of a real symmetric matrix
Graph-based context learning network for infrared small target detection
Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition
Global exponential stability of a class of memristor-based recurrent neural networks with time-varying delays
A combined reciprocal convexity approach for stability analysis of static neural networks with interval time-varying delays
An RBF online learning scheme for non-stationary environments based on fuzzy means and Givens rotations
Hybrid neural network adaptive fuzzy sliding mode online compensatory control for robots with global stability
A functional neural network for computing the largest modulus eigenvalues and their corresponding eigenvectors of an anti-symmetric matrix
A bursting mechanism of chattering neurons based on Ca 2+ -dependent cationic currents
Supervised feature learning via l 2 -norm regularized logistic regression for 3D object recognition
RFP-Net: Receptive field-based proposal generation network for object detection
A general memristor model and its applications in programmable analog circuits
A novel hybrid teaching learning based multi-objective particle swarm optimization
TFF-CNN: Distributed optical fiber sensing intrusion detection framework based on two-dimensional multi-features
Attributed graph clustering with multi-scale weight-based pairwise coarsening and contrastive learning
Bidirectional distance encoding for graph neural networks
Surface EMG based handgrip force predictions using gene expression programming
On the smoothing of the norm objective penalty function for two-cardinality sparse constrained optimization problems
A work point count system coupled with back-propagation for solving double dummy bridge problem
Consensus control of higher-order nonlinear multi-agent systems with unknown control directions
A comparison of typical ℓ p minimization algorithms
Overcoming language priors in visual question answering with cumulative learning strategy
Seeker optimization algorithm for tuning the structure and parameters of neural networks
DeepSDM: Boundary-aware pneumothorax segmentation in chest X-ray images
On building local models for inverse system identification with vector quantization algorithms
Using Fourier-neural recurrent networks to fit sequential input/output data
A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting
Chaos in neural networks with dynamic synapses
Supervised assisted deep reinforcement learning for emergency voltage control of power systems
An error-tolerant approximate matching algorithm for labeled combinatorial maps
MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks
A novel modified binary differential evolution algorithm and its applications
Stability criterion for delayed neural networks via Wirtinger-based multiple integral inequality
A review on the attention mechanism of deep learning
FlowST-Net: Tackling non-uniform spatial and temporal distributions for scene flow estimation in point clouds
Joint multi-level attentional model for emotion detection and emotion-cause pair extraction
A hybrid algorithm with inlier-guided Hough voting for point cloud registration
A novel progressive learning technique for multi-class classification
Exponential stability and periodic oscillatory of bi-directional associative memory neural network involving delays
Adaptive dynamic event-triggered cluster synchronization in an array of coupled neural networks subject to cyber-attacks
Robust control design for multi-player nonlinear systems with input disturbances via adaptive dynamic programming
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning☆
New algorithm for detection and fault classification on parallel transmission line using DWT and BPNN based on Clarke's transformation
Knowledge-based BERT word embedding fine-tuning for emotion recognition
Flocking with nonlinear systems based on distributed observers
InterpIoU: Robust bounding box regression loss within an interpolation-based IoU framework
Randomized learning: Generalization performance of old and new theoretically grounded algorithms
Quantum evolutionary clustering algorithm based on watershed applied to SAR image segmentation
Stability analysis for stochastic neural networks of neutral type with both Markovian jump parameters and mixed time delays
Intent-enhanced attentive Bert capsule network for zero-shot intention detection
Multi-view clustering by joint manifold learning and tensor nuclear norm
A fast blind source separation algorithm based on the temporal structure of signals
EMS-Net: Ensemble of Multiscale Convolutional Neural Networks for Classification of Breast Cancer Histology Images
Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity
Beyond game environments: Evolutionary algorithms with parameter space noise for task-oriented dialogue policy exploration
Teaching-learning-based optimization with variable-population scheme and its application for ANN and global optimization
A landmark-based data-driven approach on 2.5D facial attractiveness computation
Stable recovery of approximately k -sparse signals in noisy cases via ℓ p minimization
DeformSg2im: Scene graph based multi-instance image generation with a deformable geometric layout
Improving the BoVW via discriminative visual n-grams and MKL strategies
Consideration effect of uncertainty in power system reliability indices using radial basis function network and fuzzy logic theory
Complex local phase based subjective surfaces (CLAPSS) and its application to DIC red blood cell image segmentation
An efficient crossover architecture for hardware parallel implementation of genetic algorithm
RMAF: A replay method based on active forgetting for continual learning
Multi-agent reinforcement learning as a rehearsal for decentralized planning
DenseViT-XGB: A hybrid approach for dates varieties identification
A comprehensive survey on segmentation techniques for retinal vessel segmentation
A fuzzy neural network controller with adaptive learning rates for nonlinear slider-crank mechanism
Efficient depthwise separable convolution accelerator for classification and UAV object detection
Efficient filter pruning: Reducing model complexity through redundancy graph decomposition
Special Issue on Emergent Effects in Stochastic Neural Networks with Application to Learning and Information Processing
Improved GAP-RBF network for classification problems
Recruitment of presynaptic vesicles and facilitation of transmitter release
A Bayesian model for canonical circuits in the neocortex for parallelized and incremental learning of symbol representations
Relaxed stability criteria for discrete-time Takagi-Sugeno fuzzy systems via new augmented nonquadratic Lyapunov functions
Modelling and predictive control of a neutralisation reactor using sparse support vector machine Wiener models
Dense 3D reconstruction combining depth and RGB information
ELFpm: A machine learning framework for industrial machines prediction of remaining useful life
Grid Mamba:Grid State Space Model for large-scale point cloud analysis
ASAP - A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping
Pinning event-triggered sampled-data synchronization of coupled reaction-diffusion neural networks
Backpropagation networks for logic constraint solving
Accurate learning of graph representation with the consideration of fuzzy overlapping community
Semi-supervised action recognition with dynamic temporal information fusion
MV-guided deformable convolution network for compressed video action recognition with P-frames
Adaptive semi-supervised 3D object detection network with multi-level constraints
Output-feedback synchronization of semi-Markov jump two-time-scale neural networks: Dual event-triggered scheme