yusuke1997/dblp-id-title huggingface dataset:
New sufficient conditions on the global exponential stability of delayed inertial neural networks
See more than once: Kernel-sharing atrous convolution for semantic segmentation
An improved ELM algorithm for the measurement of hot metal temperature in blast furnace
A fractional filter based on reinforcement learning for effective tracking under impulsive noise
Greedy method for robust linear regression
Global exponential dissipativity of neutral-type BAM inertial neural networks with mixed time-varying delays
Flexible multi-task learning with latent task grouping
Synchronization analysis for delayed spatio-temporal neural networks with fractional-order
RBFNN-based nonsingular fast terminal sliding mode control for robotic manipulators including actuator dynamics
An explainable intelligence fault diagnosis framework for rotating machinery
Natural time scales for neural encoding
Integration enhanced and noise tolerant ZNN for computing various expressions involving outer inverses
Mimicking visual searching with integrated top down cues and low-level features
Single image haze removal based on the improved atmospheric scattering model
Local stability analysis for continuous-time Takagi-Sugeno fuzzy systems with time delay
MP-DRA: Multi-scale memory and adaptive pseudo-anomaly enhanced open-set anomaly detection
Neural network adaptive switched fault-tolerant control of uncertain nonlinear systems with full state constraints
TSSD-based quasi-synchronization of stochastic delayed reaction-diffusion neural networks under deceptional attacks
LF 3 Net: Leader-follower feature fusing network for fast saliency detection
Robust local feature weighting hard c-means clustering algorithm
A weakly supervised framework for abnormal behavior detection and localization in crowded scenes
Dictionary pruning with visual word significance for medical image retrieval
Mining intrinsic information by matrix factorization-based approaches for collaborative filtering in recommender systems
Exponential stability criterion of high-order BAM neural networks with delays and impulse via fixed point approach
Event-triggered consensus control and fault estimation for time-delayed multi-agent systems with Markov switching topologies
A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression
Dynamic MAC-based architecture of artificial neural networks suitable for hardware implementation on FPGAs
Locally multidimensional scaling by creating neighborhoods in diffusion maps
Smoothed LSTM-AE: A spatio-temporal deep model for multiple time-series missing imputation
An algorithm for extracting fetal electrocardiogram
Modifications of continuous-time gradient based recurrent neural networks
H∞ human-assistance fuzzy control of discrete-time nonlinear human-in-the-loop systems
Piecewise pseudo-almost periodic solution for impulsive non-autonomous high-order Hopfield neural networks with variable delays
Linking synaptic computation for image enhancement
Single image dehazing by approximating and eliminating the additional airlight component
Contour-guided saliency detection with long-range interactions
Linguistic feature fusion for Arabic fake news detection and named entity recognition using reinforcement learning and swarm optimization
Semantic-based padding in convolutional neural networks for improving the performance in natural language processing. A case of study in sentiment analysis
Fuzzy Logic with Engineering Applications, Timothy J. Ross, (Ed.); McGraw Hill, New York, 1995, pp 592, ISBN 0-07-053917-0
Adaptive finite-time synchronization of stochastic mixed time-varying delayed memristor-based neural networks
Interpretation of linear classifiers by means of feature relevance bounds
Physics-informed neural nets for control of dynamical systems
Infrared small target detection via self-regularized weighted sparse model
SimBa: A novel similarity-based crossover for neuro-evolution
Auto-ReID+: Searching for a multi-branch ConvNet for person re-identification
Associating stock prices with web financial information time series based on support vector regression
Future Perspectives on Neural Network Research
Multiple spatial pooling for visual object recognition
Multilayer probability extreme learning machine for device-free localization
Bifurcations in the Hodgkin-Huxley model exposed to DC electric fields
How priors of initial hyperparameters affect Gaussian process regression models
Empirical evaluation of the improved Rprop learning algorithms
Efficient estimation of multidimensional regression model using multilayer perceptrons
Locally linear reconstruction based missing value imputation for supervised learning
Improved Gaussian process classification via feature space rotation
E-Net: Evolutionary neural network synthesis
An adaptive scheme for chaotic synchronization in the presence of uncertain parameter and disturbances
Abstractive text summarization: State of the art, challenges, and improvements
Image feature representation with orthogonal symmetric local weber graph structure
Subspace clustering guided convex nonnegative matrix factorization
Evolutionary stability affected by energy flow in the bio-network architecture
Multi-perspective analysis on data augmentation in knowledge distillation
Effects of "rich-gets-richer" rule on small-world networks
A novel energy management method for multiple residential energy systems with energy exchange
Two-layer distributed formation-containment control of multiple Euler-Lagrange systems with unknown control directions
SNR: One single network for image steganography with robust post-save recovery
GVM based intuitive simulation web application for collision detection
Feature local binary patterns with application to eye detection
The Random Neural Network in a neurocomputing application for Web search
Local dual-graph discriminant classifier for binary classification
Exponential synchronization of inertial neural networks with mixed delays via quantized pinning control
A sequential method using multiplicative extreme learning machine for epileptic seizure detection
Dynamic depression control of chaotic neural networks for associative memory
Editorial: Good practices in multimedia modeling
Stability and l 1 -gain analysis for positive 2D T-S fuzzy state-delayed systems in the second FM model
Feature balanced re-enhanced network with multi-factor margin loss for long-tailed visual recognition
Decentralized fuzzy H ∞ filtering for networked interconnected systems under communication constraints
Goal-driven navigation via variational sparse Q network and transfer learning
Neural discrete back-stepping control of hypersonic flight vehicle with equivalent prediction model
Spectral representation learning for one-step spectral rotation clustering
SW-ELM: A summation wavelet extreme learning machine algorithm with a priori parameter initialization
Special issue on International Symposium on Neural Networks
Autonomous cognition development with lifelong learning: A self-organizing and reflecting cognitive network
Twin support vector machines: A survey
A single-layer asymmetric RNN with low hardware complexity for solving linear equations
Human fringe skeleton extraction by an improved Hopfield neural network with direction features
Pycol: A Python package for dataset complexity measures
A SOM-based approach to estimating product properties from spectroscopic measurements
ExpTamed: An exponential tamed optimizer based on Langevin SDEs
Neural network models for initial public offerings
Safe reinforcement learning for affine nonlinear systems with state constraints and input saturation using control barrier functions
A review of double compression detection for digital multimedia
Deep multi-threshold spiking-UNet for image processing
Safe tracking control for unmanned aerial helicopter under input saturation based on reinforcement learning and disturbance observer
Learning two groups of discriminative features for micro-expression recognition
Global µ -stability of neutral-type impulsive complex-valued BAM neural networks with leakage delay and unbounded time-varying delays
A novel OL-mapping operator-based edge detection approach
Identification of nonlinear MIMO block-oriented systems with moving average noises using gradient based and least squares based iterative algorithms
Initialization in Hopfield networks
Energy efficiency in a channel model for the spiking axon
Rule generation of fuzzy logic systems using a self-organized fuzzy neural network
Comment on "Recurrent neural networks: A constructive algorithm, and its properties"
Adaptive self-excitation groups in visual curve integration
Analysis of the ionospheric time-varying effects on the radar echoes based on ionogram inversion
Hierarchical approach for fusion of electroencephalography and electromyography for predicting finger movements and kinematics using deep learning
LSTM network in bilateral teleoperation of a skid-steering robot
Generating virtual images for promoting visual artificial intelligence
Error bound of Nyström-approximated NCut eigenvectors and its application to training size selection
Fuzzy-neural network controllers using mean-value-based functional reasoning
A reliable method for HIV-1 protease cleavage site prediction
Counting crowds with varying densities via adaptive scenario discovery framework
Exponential stability criteria for a neutral type stochastic single neuron system with time-varying delays
Min-max consensus of multi-agent systems in random networks
Fuzzy logic approach for removing noise
Node-level parallelization for deep neural networks with conditional independent graph
Distributed robust H∞ rotating consensus control for directed networks of second-order agents with mixed uncertainties and time-delay
Convergence of deep ReLU networks
Modelling the compression of perceived time by a cerebral system with nervous excitability deficit and near the perception threshold
Special issue on dimensionality reduction for visual big data
A wavelet broad learning adaptive filter for forecasting and cancelling the physiological tremor in teleoperation
Actionness-pooled Deep-convolutional Descriptor for fine-grained action recognition
A new action potential classifier using 3-Gaussian model fitting
Flexible variational information bottleneck: Achieving diverse compression with a single training
Heterogeneous feature subset selection using mutual information-based feature transformation
Speed up deep neural network based pedestrian detection by sharing features across multi-scale models
Incrementally perceiving hazards in driving
Dynamics of a continuous-valued discrete-time Hopfield neural network with synaptic depression
A multi-layer memristive recurrent neural network for solving static and dynamic image associative memory
Analysis on delay-dependent stability for neural networks with time-varying delays
Domain-specific knowledge-driven pan-sharpening algorithm
Classifying proteins using gapped Markov feature pairs
Tensor correlation filter based class-dependence feature analysis for face recognition
Multi-train: A semi-supervised heterogeneous ensemble classifier
Application of LSTM for short term fog forecasting based on meteorological elements
A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the recognition of walking activities and gait events using wearable sensors
Fast colorization for single-band thermal video sequences
Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor
Chaos and hyperchaos in fractional-order cellular neural networks
High quality depth map estimation of object surface from light-field images
Generalized Pinball Loss SVMs
Global distilling framework with cognitive gravitation for multimodal emotion recognition
ReHyGen: Relational hypergraph enhanced generative aspect sentiment triplet extraction
QRNN-MIDAS: A novel quantile regression neural network for mixed sampling frequency data
Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning
Effective feature selection using feature vector graph for classification
Data analysis on virtual stiffness in 6DoFs haptic rendering system
Quasi-synchronization of fractional-order complex-value neural networks with discontinuous activations
Study on chaos anti-control for hippocampal models of epilepsy
Efficient auto-scaling scheme for rapid storage service using many-core of desktop storage virtualization based on IoT
Temporal Metrics Based Aggregated Graph Convolution Network for traffic forecasting
Method of experimental synaptic conductance estimation: Limitations of the basic approach and extension to voltage-dependent conductances
Learning-based robust output tracking control for unknown discrete-time nonlinear systems with dynamic uncertainty
Unsupervised mining of long time series based on latent topic model
Deep correspondence restricted Boltzmann machine for cross-modal retrieval
Margin-based two-stage supervised hashing for image retrieval
Hybrid synchronization behavior in an array of coupled chaotic systems with ring connection
An efficient level set model with self-similarity for texture segmentation
Adaptive neural control for a class of MIMO nonlinear systems with extreme learning machine
An efficient model-level fusion approach for continuous affect recognition from audiovisual signals
A unified 3D face authentication framework based on robust local mesh SIFT feature
TEG-DI: Dynamic incentive model for Federated Learning based on Tripartite Evolutionary Game
Consecutive layer collaborative filter similarity for differentiable neural network pruning
Divide-and-conquer signal processing, feature extraction, and machine learning for big data
A bio-inspired multisensory stochastic integration algorithm
A novel end-to-end model for steering behavior prediction of autonomous ego-vehicles using spatial and temporal attention mechanism
Wavelet-based contourlet in quality evaluation of digital images
Towards faster yet accurate video prediction for resource-constrained platforms
Dual separated attention-based graph neural network
Efficient medical image encryption and attack detection using hyperchaotic fibonacci polynomial convolutional neural network in IoT healthcare networks
Local polynomial contrast binary patterns for face recognition
Aligned multi-view clustering for unmapped data via weighted tensor nuclear norm and adaptive graph learning
Online event-triggered adaptive critic design for non-zero-sum games of partially unknown networked systems
Realize your surroundings: Exploiting context information for small object detection
Observer-based distributed adaptive neural network containment control for uncertain nonlinear multi-agent systems under DoS attacks
BeAware: Convolutional neural network(CNN) based user behavior understanding through WiFi channel state information
Sparse estimation based on square root nonconvex optimization in high-dimensional data
Self-adaptive loss balanced Physics-informed neural networks
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights
Coupled local-global adaptation for multi-source transfer learning
Test of spike-sorting algorithms on the basis of simulated network data
Finite-time dynamic surface control for induction motors with input saturation in electric vehicle drive systems
Self-organizing maps with information theoretic learning
Formation control using replicator-mutator dynamics for multiple mobile autonomous agents
Active disturbance rejection controller for multi-area interconnected power system based on reinforcement learning
A graph convolution network with subgraph embedding for mutagenic prediction in aromatic hydrocarbons
A psycholinguistically and neurolinguistically plausible system-level model of natural-language syntax processing
Ensemble learning for electricity consumption forecasting in office buildings
Reinforcement Learning-Based Control for Nonlinear Discrete-Time Systems with Unknown Control Directions and Control Constraints
Object tracking using both a kernel and a non-parametric active contour model
VOE: A new sparsity-based camera network placement framework
Expert list-wise ranking method based on sparse learning
Instance-specific canonical correlation analysis
Causal dreamer for partially observable model-based reinforcement learning
Efficient abnormal behavior detection with adaptive weight distribution
PIDNODEs: Neural ordinary differential equations inspired by a proportional-integral-derivative controller
Fusing multiple features for Fourier Mellin-based face recognition with single example image per person
The connectivity probability of edge evolving network driven by compound Poisson process
Attentive interaction-driven entity resolution over multi-source web information
Bridging the gap: An integrated approach to motif discovery and discord detection in time-series data
LieTrICP: An improvement of trimmed iterative closest point algorithm
New LMT-based delay-dependent criterion for global asymptotic stability of cellular neural networks
A parallel bi-directional self-organizing neural network (PBDSONN) architecture for color image extraction and segmentation
Modeling bottom-up and top-down attention with a neurodynamic model of V1
Hashing in the zero shot framework with domain adaptation
Multi-task, multi-domain learning: Application to semantic segmentation and pose regression
Pose recognition using convolutional neural networks on omni-directional images
Bio-inspired fault detection circuits based on synapse and spiking neuron models
Conjugate gradient-based Takagi-Sugeno fuzzy neural network parameter identification and its convergence analysis
Probabilistic feature-based transformation for speaker verification over telephone networks
Asymptotic stability and synchronization for nonlinear distributed-order system with uncertain parameters
Deep attributed network representation learning via enhanced local attribute neighbor
Noise/fault aware regularization for incremental learning in extreme learning machines
The effect of modulatory neuronal input on gastric mill frequency
Auto-Adaptive Parallel SOM Architecture with a modular analysis for dynamic object segmentation in videos
Early classification on multivariate time series
A survey of recommender systems with multi-objective optimization
Noise-modulated neural networks for selectively functionalizing sub-networks by exploiting stochastic resonance
Building support vector machines in the context of regularized least squares
CS-MRI reconstruction via group-based eigenvalue decomposition and estimation
Adaptive finite-time bipartite consensus of multi-agent systems with communication link uncertainty under signed digraph
MTDE: Multi-typed data embedding in heterogeneous networks
Modified S transform and ELM algorithms and their applications in power quality analysis
Multiple comparison procedures applied to model selection
Fusion layer attention for image-text matching
A four dukkha state-space model for hand tracking
Individual adaptive metric learning for visual tracking
Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes
Discrete-time high order neural network identifier trained with cubature Kalman filter
On the diversity of multi-head attention
Designing a hybrid optimization methodology for delineating boundary of ultrasound prostate cancer with an explainable mathematical model
Waveformer: A high-precision time-frequency domain model for long-term prediction of electrical power consumption
Enhancing generalization in camera trap image recognition: Fine-tuning visual language models
Graph manifold learning with non-gradient decision layer
Data-driven vs. model-driven: Fast face sketch synthesis
Finite-time anti-synchronization of neural networks with general discrete time-varying delays
Effective detection of mobile malware behavior based on explainable deep neural network
Step-width theoretics and numerics of four-point general DTZN model for future minimization using Jury stability criterion
GCNDepth: Self-supervised monocular depth estimation based on graph convolutional network
Identification and off-policy learning of multiple objectives using adaptive clustering
Semi-supervised image attribute editing using generative adversarial networks
Network Shell - A software system supporting neural network simulation
Bi-weighted robust matrix regression for face recognition
Time series shape association measures and local trend association patterns
Spatial-wise and channel-wise feature uncertainty for occluded person re-identification
MARN: Multi-level Attentional Reconstruction Networks for Weakly Supervised Video Temporal Grounding
Adaptive segmentation model for liver CT images based on neural network and level set method
Silicon spiking neurons for hardware implementation of extreme learning machines
Reciprocal inhibitory connections produce desynchronizing phase lags during intrathalamic oscillations
Prototype expansion and feature calibration for few-shot point cloud semantic segmentation
Exponential weighted entropy and exponential weighted mutual information
Online time-series forecasting using spiking reservoir
A recursive least square algorithm for online kernel principal component extraction
Bilinear-experts network with self-adaptive sampler for long-tailed visual recognition
Modeling control of roll-plane body orientation in lamprey
Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks
A novel framework of continuous human-activity recognition using Kinect
Synchronization of stochastic complex networks with time delay via feedback control based on discrete-time state observations
ISPFormer: Learning RAW-to-sRGB mappings with wavelet-based self-attention
Obstacle avoidance and active disturbance rejection control for a quadrotor
Modeling of dynamic controls in the frog wiping reflex: Force-field level controls
MAFNet: Multi-style attention fusion network for salient object detection
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms
GRAformer: A gated residual attention transformer for multivariate time series forecasting
A segment enhanced span-based model for nested named entity recognition
SolNet and machine learning models for effective dust detection in photovoltaic systems
Regularized correntropy criterion based feature extraction for novelty detection
Spatial complementary and self-repair learning for occluded person re-identification
Sentiment key frame extraction in user-generated micro-videos via low-rank and sparse representation
Phased array processing for spike discrimination
Drag coefficient modeling of heterogeneous connected platooning vehicles via BP neural network and PSO algorithm
Weighted group sparse representation for undersampled face recognition
EPCTS: Enhanced Prompt-Aware Cross-Prompt Essay Trait Scoring
Dual-DIANet: A sharing-learnable multi-task network based on dense information aggregation
A survey of deep learning algorithms for colorectal polyp segmentation
Cluster-based adaptive metric classification
Almost automorphic solutions for Clifford-valued neutral-type fuzzy cellular neural networks with leakage delays on time scales
Improved simple deterministically constructed Cycle Reservoir Network with Sensitive Iterative Pruning Algorithm
Asymmetric hashing with multi-bit quantization for image retrieval
Integrated multi-similarity fusion and heterogeneous graph inference for drug-target interaction prediction
A study on multi-kernel intuitionistic fuzzy C-means clustering with multiple attributes
Causality: Models, Reasoning, and Inference : Judea Pearl; Cambridge University Press, Cambridge, UK, 2000, pp 384, ISBN 0-521-77362-8
Supervised or unsupervised learning? Investigating the role of pattern recognition assumptions in the success of binary predictive prescriptions
Predicting functional connectivity network from routinely acquired T1-weighted imaging-based brain network by generative U-GCNet
Design and analysis of multi-valued auto-associative quaternion-valued recurrent neural networks based on external inputs