yusuke1997/dblp-id-title huggingface dataset:
Network activity in a Morris-Lecar population density model
Electroencephalographic feature evaluation for improving personal authentication performance
Semi-supervised learning of local structured output predictors
An effective LS-SVM-based approach for surface roughness prediction in machined surfaces
A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition
An overview of multi-modal medical image fusion
An effective semi-cross-validation model selection method for extreme learning machine with ridge regression
Assortativity attention based Multi-Dim Graph neural Architecture Search under distribution shifts
Column subset selection for active learning in image classification
REDPC: A residual error-based density peak clustering algorithm
Path following control for marine surface vessel with uncertainties and input saturation
Meta-learning to calibrate Gaussian processes with deep kernels for regression uncertainty estimation
Target heat-map network: An end-to-end deep network for target detection in remote sensing images
Multitarget prediction using an aim-object-based asymmetric neuro-fuzzy system: A novel approach
Abnormal crowd motion detection using double sparse representation
Class-specific cost regulation extreme learning machine for imbalanced classification
Consensus stabilization in stochastic multi-agent systems with Markovian switching topology, noises and delay
FPGA implementation of Kalman filter for neural ensemble decoding of rat's motor cortex
Population coding for neuromorphic hardware
Character recognition with neural networks
An LVQ-based adaptive algorithm for learning from very small codebooks
Reliable H ∞ control design of discrete-time Takagi-Sugeno fuzzy systems with actuator faults
Fine-tuning Pre-trained Convolutional Neural Networks for Gastric Precancerous Disease Classification on Magnification Narrow-band Imaging Images
Harmonic cut: An efficient and directly solved balanced graph clustering
Modality reprogramming: Adapting frozen LLMs for multi-channel EEG classification
Robust H ∞ dynamic output feedback synchronization for complex dynamical networks with disturbances
A biophysical model of frequency-sweep selectivity in primary auditory cortex
Log-sum enhanced sparse deep neural network
SA-NLI: A Supervised Attention based framework for Natural Language Inference
Optimizing Weighted Extreme Learning Machines for imbalanced classification and application to credit card fraud detection
Binary multi-modal matrix factorization for fast item cold-start recommendation
Data-based adaptive neural network optimal output feedback control for nonlinear systems with actuator saturation
Adaptive contrastive graph attention network for recommendation
Natural language to SQL conversion using probabilistic spiking return-aligned decision transformer neural networks and subtraction-average-based optimizer
Inter-patient ECG arrhythmia heartbeat classification based on unsupervised domain adaptation
Modern cognitive and ubiquitous computing
PMA-DRL: A parallel model-augmented framework for deep reinforcement learning algorithms
Learning algorithm of wavelet network based on sampling theory
Stochastic mixed impulsive control and stability for stochastic functional differential systems with semi-Markov jump
Cooperative robust output regulation for heterogeneous second-order discrete-time multi-agent systems
A mixed noise image filtering method using weighted-linking PCNNs
The neural network models with delays for solving absolute value equations
Sparse and low-dimensional representation with maximum entropy adaptive graph for feature selection
A novel biologically-inspired target detection method based on saliency analysis for synthetic aperture radar (SAR) imagery
Relationship existence recognition-based social group detection in urban public spaces
Better freehand sketch synthesis for sketch-based image retrieval: Beyond image edges
A personalized context-aware soft keyboard adapted by random forest trained with additional data of same cluster
Unlocking the high dimensional' potential: Comparative analysis of qubits and qutrits in variational quantum neural networks
A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization
Synchronization with a periodic pulse train in an asymmetrically coupled neuronal network model
Variant of Gaussian kernel and parameter setting method for nonlinear SVM
Prototype matching-based meta-learning model for few-shot fault diagnosis of mechanical system
A unified model of early word learning: Integrating statistical and social cues
Automatic texture defect detection using Gaussian mixture entropy modeling
Probabilistic PCA for t distributions
A comprehensive survey for automatic text summarization: Techniques, approaches and perspectives
Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear systems
Robust recognition of face with partial variations using local features and statistical learning
Prediction of drug-target interactions based on multi-layer network representation learning
Technique for eliminating nonessential components in the refinement of a model of dopamine neurons
NVFusion: Lightweight infrared and low-light night vision image fusion in dark environments
Beyond sparsity: an empirical study of structured collaboration in modular AI
Automated detection of epileptic EEGs using a novel fusion feature and extreme learning machine
Deep Koopman-layered model with universal property based on toeplitz matrices
LitANFIS: Literal-aware Adaptive Neuro-Fuzzy Inference System to learn Conjunctive Normal Form
Multimodal medical image segmentation using multi-scale context-aware network
Erratum to "Progressive conditional GAN-based augmentation for 3D object recognition" [Neurocomputing 460 (2021) 20-30]
Mode-mismatched estimator design for Markov jump genetic regulatory networks with random time delays
Statistical modeling for automatic image indexing and retrieval
Intelligent grid enabled services for neuroimaging analysis
A time-varying neural network for solving minimum spanning tree problem on time-varying network
Robust stabilization of stochastic Markovian jumping dynamical networks with mixed delays
Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series
Feature subset selection in data-stream environments using asymmetric hidden Markov models and novelty detection
Lightweight adversarial network for salient object detection
One norm linear programming support vector regression
An input-output hidden Markov model for tree transductions
Leader-following mean square consensus of stochastic multi-agent systems with ROUs and RONs under periodically variable impulse time windows
Regularized extreme learning machine for multi-view semi-supervised action recognition
Multiple convolutional neural networks for multivariate time series prediction
Criticality of avalanche dynamics in adaptive recurrent networks
Growing neural gas efficiently
RAR: Recombination and augmented replacement method for insertion-based lexically constrained text generation
Adaptive NN finite-time tracking control for PMSM with full state constraints
Multi-label learning of non-equilibrium labels completion with mean shift
Understanding adversarial training: Increasing local stability of supervised models through robust optimization
A scalable and customizable processor array for implementing cellular genetic algorithms
State-space receptive fields of semicircular canal afferent neurons in the bullfrog
Improving multi-modal brain tumor segmentation via pre-training and knowledge distillation based post-training
ST-DAGCN: A spatiotemporal dual adaptive graph convolutional network model for traffic prediction
Gamma frequency synchronization in a local cortical network model
ICA with Reference
On the schatten norm for matrix based subspace learning and classification
Adaptive community detection in complex networks using genetic algorithms
A generic framework for deep incremental cancelable template generation
Data imputation via evolutionary computation, clustering and a neural network
Relation-aware heterogeneous graph neural network for entity alignment
Bay-CoFE: Bayesian consistency-driven feature elimination for eXplainable AI
Modified fuzzy clustering with segregated cluster centroids
Learning-based sliding mode control of discrete markov jump systems with actuator faults via action-critic-disturbance neural network approach
A hybrid time series prediction model based on recurrent neural network and double joint linear-nonlinear extreme learning network for prediction of carbon efficiency in iron ore sintering process
Feature selection based on closed frequent itemset mining: A case study on SAGE data classification
Improving few-shot object detection via mislabeling mitigation
Ensemble predicate decoding for unbiased scene graph generation
Rethinking mask heads for partially supervised instance segmentation
Latent attribute augmented network for few-shot class-incremental learning
Analog circuit fault diagnosis based on density peaks clustering and dynamic weight probabilistic neural network
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines
A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data
Global Mittag-Leffler projective synchronization of nonidentical fractional-order neural networks with delay via sliding mode control
Deep face recognition with clustering based domain adaptation
Domain adaptation with geometrical preservation and distribution alignment
Modeling and Adaptive Control with Fuzzy Neural Networks - Selected Papers from the 6th International Symposium on Neural Networks
Multi-attribute dynamic attenuation learning improved spiking actor network
Constructing optimized interval type-2 TSK neuro-fuzzy systems with noise reduction property by quantum inspired BFA
Fast learning in Deep Neural Networks
Distributed adaptive neural network constraint containment control for the benthic autonomous underwater vehicles
Iterative GDHP-based approximate optimal tracking control for a class of discrete-time nonlinear systems
Prescribed performance adaptive fault-tolerant tracking control for nonlinear time-delay systems with input quantization and unknown control directions
Generalizable agent modeling for agent collaboration-competition adaptation with multi-retrieval and dynamic generation
Adaptive leader-following formation control with collision avoidance for a class of second-order nonlinear multi-agent systems
Counterfactual contrastive learning for weakly supervised temporal sentence grounding
Blind separation of convolutive image mixtures
Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models
IRAGKR:Iterative retrieval augmented generation with fine-grained knowledge refinement
A joint residual network with paired ReLUs activation for image super-resolution
Commonsense knowledge graph-based adapter for aspect-level sentiment classification
A deep learning based multitask model for network-wide traffic speed prediction
Efficient multi-satellite trajectory planning: Multi-agent soft actor-critic reinforcement learning with mixed expert experience replay for formation reconfiguration
Material identification of loose particles in sealed electronic devices using PCA and SVM
MS-Ranker: Accumulating evidence from potentially correct candidates via reinforcement learning for answer selection
Learning hybrid convolutional features for edge detection
Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot
Dynamic-based event-triggered neural network control for p -normal interconnected time-delay systems with asymmetric constraints
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine
PSNet: Parallel symmetric network for RGB-T salient object detection
Edge convolutional networks: Decomposing graph convolutional networks for stochastic training with independent edges
Co-Manifold learning for semi-supervised medical image segmentation
CrossCode2Vec: A unified representation across source and binary functions for code similarity detection
Attention-based sequence to sequence model for machine remaining useful life prediction
Robust adaptive neural network control of a class of uncertain strict-feedback nonlinear systems with unknown dead-zone and disturbances
Multimodal misinformation detection based on the multi-granularity consistency
Theoretical guarantees for bridging metric measure embedding and optimal transport
Research on medical applications of contrast sensitivity function to red-green gratings in 3D space
Wound image evaluation with machine learning
DSTF: A Diversified Spatio-Temporal Feature Extraction Model for traffic flow prediction
FSCMF: A Dual-Branch Frequency-Spatial Joint Perception Cross-Modality Network for visible and infrared image fusion
Distributed multi-agent optimization with inequality constraints and random projections
Multilayer Neural Network with Multi-Valued Neurons in time series forecasting of oil production
Crossing the Chasm: A practical architecture augmentation for low-quality object detection
Reconfigurable FPGA implementation of neural networks
Enhancing the estimation of plant Jacobian for adaptive neural inverse control
Proximal support vector machine using local information
Controlling public address systems based on fuzzy inference and neural network
Coding of stimulus location by spike timing in rat somatosensory cortex
Neural network-based distributed adaptive attitude synchronization control of spacecraft formation under modified fast terminal sliding mode
Heterogeneous graph embedding by aggregating meta-path and meta-structure through attention mechanism
Advances in pattern recognition applications and methods
Passivity analysis of integro-differential neural networks with time-varying delays
A robust LWS state estimation including anomaly detection and identification in power systems
A discriminative multi-class feature selection method via weighted l 2, 1 -norm and Extended Elastic Net
Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition
Neural augmentation based panoramic high dynamic range stitching
A head-to-head attention with prompt text augmentation for text classification
Solving differential equations with constructed neural networks
Real time direct kinematic problem computation of the 3PRS robot using neural networks
Study on TCP/AQM network congestion with adaptive neural network and barrier Lyapunov function
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning
Evaluation of hyperbox neural network learning for classification
On synchronization of competitive memristor-based neural networks by nonlinear control
Attend to count: Crowd counting with adaptive capacity multi-scale CNNs
A critical analysis of the theoretical framework of the Extreme Learning Machine
HMM-based non-fragile dynamic event-triggered asynchronous H ∞ estimation for Markovian jumping neural networks with time-varying measurement delay
A dynamic hybrid expert framework with encoder-decoder interaction for robust image enhancement in train environment perception
Stability analysis of delayed neural networks based on a relaxed delay-product-type Lyapunov functional
Manifold learning: Dimensionality reduction and high dimensional data reconstruction via dictionary learning
Robustness of radial basis functions
Precise crop classification of UAV hyperspectral imagery using kernel tensor slice sparse coding based classifier
A Genetic Programming approach for feature selection in highly dimensional skewed data
Adaptive neural network state constrained fault-tolerant control for a class of pure-feedback systems with actuator faults
Adaptive continuous fractional-order nonsingular terminal sliding mode control based on neural network for PMLM system with actuator saturation
Revising similarity relationship hashing for unsupervised cross-modal retrieval
Memorized sparse backpropagation
Incorporating structural constraints into continuous optimization for causal discovery
Predicting vehicle fuel consumption based on multi-view deep neural network
Local visual feature fusion via maximum margin multimodal deep neural network
Enhancing person re-identification by integrating gait biometric
Defect inspection for TFT-LCD images based on the low-rank matrix reconstruction
Multihashing, human authentication featuring biometrics data and tokenized random number: A case study FVC2004
Sparse multiple instance learning with non-convex penalty
Adaptive optimal multi-critic based neuro-fuzzy control of MIMO human musculoskeletal arm model
Image multi-label annotation based on supervised nonnegative matrix factorization with new matching measurement
Cubature particle filtering fusion with descent gradient and maximum correntropy for non-Gaussian noise
Smart computing for large scale visual data sensing and processing
An echo state network architecture based on quantum logic gate and its optimization
Hybrid-order distributed SGD: Balancing communication overhead, computational complexity, and convergence rate for distributed learning
Dynamic Patterns: The Self-organization of Brain and Behavior: J.A. Scott Kelso, MIT Press, 1997, 334pp., ISBN 0-262-11200-0 (HB)
Implementation of circuit for reconfigurable memristive chaotic neural network and its application in associative memory
The learning of moment neuronal networks
A neurodynamic optimization approach to nonconvex resource allocation problem
Multi-scale convolutional sparse attention transformer: A lightweight fault diagnosis model for rotating machinery
GAA-PPO: A novel graph adversarial attack method by incorporating proximal policy optimization
Distributed consensus control for second-order nonlinear multi-agent systems with unknown control directions and position constraints
Human action recognition based on semi-supervised discriminant analysis with global constraint
Effects of baclofen on the directional selectivity of transient neurons in the catfish retina
Two analog neural models with the controllability on number of assets for sparse portfolio design
Joint matrix decomposition for deep convolutional neural networks compression
Multi-objective adaptive evolutionary strategy for tuning compilations
Real-time salient object detection with boundary information guidance
A visual system for invariant recognition in animated image sequences
New criteria for finite-time stability of fractional order memristor-based neural networks with time delays
Virtual leader-follower synchronization controller design for distributed parameter multi-agent systems with time-varying disturbances
Event-triggered formation-containment control for multi-agent systems based on sliding mode control approaches
Capsule networks for image classification: A review
State estimation for on-off nonlinear stochastic coupling networks with time delay
Distributed Neuro-Dynamic Optimization for Multi-Objective Power Management Problem in Micro-Grid
Reinforcement learning-based fixed-time tracking control for nonlinear systems with asymmetrical guaranteed performance
Diagonal Fisher linear discriminant analysis for efficient face recognition
SW-YOLOX: A YOLOX-based real-time pedestrian detector with shift window-mixed attention mechanism
Neural features for pedestrian detection
SIECP: Neural Network Channel Pruning based on Sequential Interval Estimation
Feature competition and partial sparse shape modeling for cardiac image sequences segmentation
Hierarchical motion magnification
Dynamic fuzzy neural networks modeling and adaptive backstepping tracking control of uncertain chaotic systems
Group consensus for a class of heterogeneous multi-agent networks in the competition systems
Effects of asymmetry in an output function on the pinning of rotating waves in a ring neural oscillator with asymmetric bidirectional coupling and self-coupling
Multiview discriminative marginal metric learning for makeup face verification
A residual convolution transfer framework based on slow feature for cross-domain machinery fault diagnosis
Consensus control for multi-agent systems with distributed parameter models
SAGM-Net: Spatio-temporal action graph modeling network for weakly-supervised temporal action localization
Distributed filtering for time-varying systems over sensor networks with randomly switching topologies under the Round-Robin protocol
A survey of hybrid ANN/HMM models for automatic speech recognition
Delay-dependent-stability of stochastic delay coupled systems on networks with regime-switching-diffusions
Cephalometric landmark detection via global and local encoders and patch-wise attentions
Entropy-guided sparse multiple kernel coordinate descent classifier algorithm for interpretable prediction
Torque sensorless decentralized neuro-optimal control for modular and reconfigurable robots with uncertain environments
Factored heterogeneous similarity model for recommendation with implicit feedback
Learning to localize image forgery using end-to-end attention network
Local face sketch synthesis learning
Neuro-adaptive fixed-time control with novel command filter design for nonlinear systems with input dead-zone
Importance estimation of hyperparameters in reinforcement learning
RGB-D action recognition using linear coding
Engineering morphological development in a robotic bipedal walking problem: An empirical study
GraySOFM network for solving classification problems
A novel photovoltaic power forecasting model based on echo state network
Stronger separation of analog neuron hierarchy by deterministic context-free languages
New global exponential stability results for neutral type neural networks with distributed time delays
TCM: An efficient lightweight MLP-based network with affine transformation for long-term time series forecasting
Bipartite consensus for distributed networks with random time-delay in a additive noisy environment via ergodic backward products
Co-training with relevant random subspaces
BIOSIM - A biological neural network simulator for research and teaching, featuring interactive graphical user interface and learning capabilities
Kernel group sparse representation classifier via structural and non-convex constraints
Classification of uncertain and imprecise data based on evidence theory
Image encryption using partitioned cellular automata
Regularized robust Broad Learning System for uncertain data modeling
Neural networks computing for knight's tour problems
One-step multi-view subspace clustering with incomplete views
Chinese named entity recognition: The state of the art
Image/video compressive sensing recovery using joint adaptive sparsity measure
Circular property of complex-valued correlation learning in CMRF-based filtering for synthetic aperture radar interferometry
Maximal Similarity Embedding
Unsupervised bidirectional generative smoothing framework with frequency decomposition and attention enhancement
Recursive wavelet transform network for robust copy-move forgery detection
Hypergraph convolutional network based weakly supervised point cloud semantic segmentation with scene-level annotations
Joint Local Regressors Learning for Face Alignment
Real-time bio-inspired contrast enhancement on GPU
Retraction notice to "Distilled and filtered deep neural networks for real-time object detection in edge computing" [Neurocomputing 505 (2022) 225-237]
Computationally efficient sequential learning algorithms for direct link resource-allocating networks
Beyond decoders: Learning prompt-aware features for few-shot object counting
Enhanced locality preserving projections using robust path based similarity
Uncertainty embedding of attribute networks based on multi-view information fusion and multi-order proximity preservation
Corrigendum to "Research on data reconciliation based on generalized T distribution with historical data" [Neurocomputing 175PA (2015) 808-815]