yusuke1997/dblp-id-title huggingface dataset:
Approximation-based adaptive neural output feedback control for a class of uncertain switched stochastic nonlinear systems with average dwell time condition
SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates
Adaptive heading tracking control of surface vehicles with unknown control directions and full state constraints
Pruning least objective contribution in KMSE
A new finite-time varying-parameter convergent-differential neural-network for solving nonlinear and nonconvex optimization problems
Class-switching neural network ensembles
A hybrid feature selection algorithm for gene expression data classification
SUNNet: A novel framework for simultaneous human parsing and pose estimation
The development of fuzzy radial basis function neural networks based on the concept of information ambiguity
Community detection method based on mixed-norm sparse subspace clustering
STAD-AI: Spatio-Temporal Anomaly Detection in Videos with Attentive Dual-Stage Integration
An 80/20 cortical balance stabilizes information-rich dynamics
Functional-link nets with genetic-algorithm-based learning for robust nonlinear interval regression analysis
Denoising and deblurring gold immunochromatographic strip images via gradient projection algorithms
Temporal self-attention-based Conv-LSTM network for multivariate time series prediction
Real-time and personalized dry EEG neurofeedback increased students' attention during online teaching in everyday life conditions
Robust fuzzy clustering using nonsymmetric student's t finite mixture model for MR image segmentation
Modified central force optimization (MCFO) algorithm for 3D UAV path planning
What do eyes reveal about the mind?: Algorithmic inference of search targets from fixations
Data-driven machinery fault diagnosis: A comprehensive review
ImagePrompt: Image-enhanced prompt-tuning for multimodal relation extraction
Deep Contrastive Clustering via Hard positive sample Debiased
E 2 BoWs: An end-to-end Bag-of-Words model via deep convolutional neural network for image retrieval
GSLA: Graph fraud detection with structure enhancement and label augmentation under limited supervision
Empirical transfer function determination by the use of multilayer perceptron
Observer-based fuzzy adaptive prescribed performance tracking control for nonlinear stochastic systems with input saturation
Simplified adaptive neural control of strict-feedback nonlinear systems
A two-stage image segmentation via global and local region active contours
Multi-view 3D reconstruction based on deep learning: A survey and comparison of methods
Convergent gradient ascent with momentum in general-sum games
Quantifying information transfer in spike generation
Multiclass support vector classification via coding and regression
A cross-domain hierarchical recurrent model for personalized session-based recommendations
Intersymbol interference in axonal transmission
RGBT tracking based on cooperative low-rank graph model
Hybrid methodology based on Bayesian optimization and GA-PARSIMONY to search for parsimony models by combining hyperparameter optimization and feature selection
A deep learning interpretable classifier for diabetic retinopathy disease grading
Modality-specific adaptive scaling and attention network for cross-modal retrieval
Probability-based Mask R-CNN for pulmonary embolism detection
The hidden-layer model of hippocampus
INOR - An Intelligent noise reduction method to defend against adversarial audio examples
Impulsive μ-stabilization and μ-synchronization for delayed network systems with any time-varying delays
Multi-relational dynamic graph representation learning
Improving depression diagnosis using a brain module-based weighted hypergraph convolutional network framework
GOLS - Genetic orthogonal least squares algorithm for training RBF networks
Facial landmark detection by semi-supervised deep learning
Fixed-time adaptive neural tracking control of output constrained nonlinear pure-feedback system with input saturation
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation
Matrix factorization with a sigmoid-like loss control
Robust recurrent neural networks for time series forecasting
Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising
Quantum splitting convolutional neural network-based distributed quantum disease detection model
Recurrent neural network for forecasting next 10 years loads of nine Japanese utilities
Distributed stabilized region regulator for synchronization of a class of multi-agent systems
Goal representation adaptive critic design for discrete-time uncertain systems subjected to input constraints: The event-triggered case
Convex formulation for multi-task L1-, L2-, and LS-SVMs
A survey on data preprocessing for data stream mining: Current status and future directions
A new predictive neural architecture for solving temperature inverse problems in microwave-assisted drying processes
An adaptive wavelet differential neural networks based identifier and its stability analysis
Convexity dependent anisotropic diffusion for mode detection in cluster analysis
Translating on pairwise entity space for knowledge graph embedding
Spectral mapping with adversarial learning for unsupervised hyperspectral change detection
E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments
Corrigendum to "Partner learning: A comprehensive knowledge transfer for vehicle re-identification" [Neurocomputing 480 (2022) 89-98/NEUCOM-D-21-03435R1]
Hub-based subspace clustering
Theoretical analysis, numerical verification and geometrical representation of new three-step DTZD algorithm for time-varying nonlinear equations solving
STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks
MPQ-YOLO: Ultra low mixed-precision quantization of YOLO for edge devices deployment
Learning to break: Knowledge-enhanced reasoning in multi-agent debate system
Uncertainty-Aware Contrastive Learning for deep clustering
Neural-network based approach on delay-dependent robust stability criteria for dithered chaotic systems with multiple time-delay
Remarks on BioHashing based cancelable biometrics in verification system
Robust locally linear embedding algorithm for machinery fault diagnosis
Global synchronization in finite time for fractional-order coupling complex dynamical networks with discontinuous dynamic nodes
A competition for consciousness?
Segmentation and recognition of multi-model photo event
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation
EEG signal processing with separable convolutional neural network for automatic scoring of sleeping stage
An imprecise extension of SVM-based machine learning models
A novel wrapper method for feature selection and its applications
Resilient distributed hypothesis testing under time-varying multi-agent networks with multiple types of adversarial agents
Event-triggered adaptive consensus tracking control for nonlinear switching multi-agent systems
Image set classification based on synthetic examples and reverse training
Multi-channel expected patch log likelihood for color image denoising
Data-driven heuristic dynamic programming with virtual reality
A Riemannian Convolutional Neural Network for EEG-based motor imagery decoding
Multi-YOLOv8: An infrared moving small object detection model based on YOLOv8 for air vehicle
Multiple birth support vector machine based on dynamic quantum particle swarm optimization algorithm
Reward poisoning attacks in deep reinforcement learning based on exploration strategies
Emotion recognition based on 3D fuzzy visual and EEG features in movie clips
A constrained HMM-based approach to the estimation of perceptual switching dynamics in pigeons
ClipSAM: CLIP and SAM collaboration for zero-shot anomaly segmentation
Neural networks taking probability distributions as input: A framework for analyzing exchangeable networks
Signal reconstruction, modeling and simulation of a vehicle full-scale crash test based on Morlet wavelets
Filter competition results in more robust Convolutional Neural Networks
Modelling the influence of thalamo-cortical projections on prefrontal activity
Delay-distribution-dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays
Global asymptotic consensus of multi-agent internet congestion control system
View position prior-supervised light field angular super-resolution network with asymmetric feature extraction and spatial-angular interaction
An approximate backpropagation learning rule for memristor based neural networks using synaptic plasticity
An entropy-based quantum neuro-fuzzy inference system for classification applications
Optimizing photographic composition with deep reinforcement learning
Sampled-data based containment control of continuous-time multi-agent systems with switching topology and time-delays
Multi-label classification using a cascade of stacked autoencoder and extreme learning machines
Effective template update mechanism in visual tracking with background clutter
Distributed reinforcement learning algorithm of operator service slice competition prediction based on zero-sum markov game
Modeling dendritic morphological complexity of deep layer cat superior colliculus neurons
A KD curvature based corner detector
Improved extreme learning machine for function approximation by encoding a priori information
Hierarchical convolutional neural networks with post-attention for speech emotion recognition
An evolving fuzzy neural predictor for multi-dimensional system state forecasting
Identity-and-pose-guided generative adversarial network for face rotation
Sparse fully convolutional network for face labeling
Task scheduling for control system based on deep reinforcement learning
Haze concentration adaptive network for image dehazing
Siamese denoising autoencoders for joints trajectories reconstruction and robust gait recognition
Towards the memory capacity of neurons with active dendrites
Applying genetic algorithm for classifying anomalous TCP/IP packets
FGVoxel3D: Fine-grained multi-resolution voxel network for 3D object detection
Robotic path planning in static environment using hierarchical multi-neuron heuristic search and probability based fitness
Automatic ultrasound image report generation with adaptive multimodal attention mechanism
Image sentiment classification via multi-level sentiment region correlation analysis
Learning with noisy labels for classifying biological echoes in polarimetric weather radar observations using artificial neural networks
Multi-frequency signal modeling using empirical mode decomposition and PCA with application to mill load estimation
Bandwidth of mechanical systems and design of emulators with RBF
Uninorm based evolving neural networks and approximation capabilities
Multimodal representation, indexing, automated annotation and retrieval of image collections via non-negative matrix factorization
Low rate stochastic strategy for cochlear implants
Dual representation modeling and progressive contrastive learning for unsupervised video person re-identification
Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique
Multimodal pain assessment with transformers
Bayesian generation of synthetic datasets for machine-learning tasks: a performance study
Adaptive neural event-dependent intermittent fault-tolerant control of reaction-diffusion multi-agent systems
Comments and further improvements on "Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays"[Neurocomputing 144 (2014) 391-407]
Robustness of artificial metaplasticity learning algorithm
CLSpell: Contrastive learning with phonological and visual knowledge for chinese spelling check
On the performance of linkage-tree genetic algorithms for the multidimensional knapsack problem
A novel word embedding learning model using the dissociation between nouns and verbs
A bio-inspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environment
FPGA-based component-wise LSTM training accelerator for neural granger causality analysis
A Hybrid Weight Quantization Strategy for Memristive Neural Networks
Defense against unauthorized distillation in image restoration via feature space perturbation
Information retrieval algorithms and neural ranking models to detect previously fact-checked information
TRAT: Tracking by attention using spatio-temporal features
FCANN: A new approach for extraction and representation of knowledge from ANN trained via Formal Concept Analysis
Semi-supervised learning via sparse model
Leveraging subclass learning for improving uncertainty estimation in deep Learning
Specified-time group consensus for general linear systems over directed graphs
Vote or not? How language mimicry affect peer recognition in an online social Q&A community
Cross domain recommendation based on multi-type media fusion
Speaker identification using multilayer perceptrons and radial basis function networks
Regularizers for fault tolerant multilayer feedforward networks
Object re-identification with distribution corrected ranking list
Improved generative adversarial networks with reconstruction loss
A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal
Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation
FMSF: Future-preference modeling with similar-user features for next POI recommendation
Embedding cryptographic features in compressive sensing
Temporal constrained joint nonnegative matrix factorization for imaging genomic study of early mild cognitive impairment
Boosting implicit discourse relation recognition with connective-based word embeddings
Locality-constrained discrete graph hashing
Efficient representation and feature extraction for neural network-based 3D object pose estimation
Histogram of visual words based on locally adaptive regression kernels descriptors for image feature extraction
CSDSE: An efficient design space exploration framework for deep neural network accelerator based on cooperative search
MGFNet: Cross-scene crowd counting via multistage gated fusion network
IncARMAG: A convolutional neural network with multi-level autoregressive moving average graph convolutional processing framework for medical image classification
Blind deconvolution using temporal predictability
Can the synchronization of cortical areas be evidenced by fMRI?
Nonlinear discrete time neural network observer
Text style analysis using trace ratio criterion patch alignment embedding
A survey on recent advances in distributed sampled-data cooperative control of multi-agent systems
Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women
Digital neuromorphic real-time platform
Diagnosis of Inter-turn Short Circuit of Permanent Magnet Synchronous Motor Based on Deep learning and Small Fault Samples
Tracing of stock market long term trend by information efficiency measures
User relationship strength modeling for friend recommendation on Instagram
Unpaired photo-to-caricature translation on faces in the wild
Shape analysis based on feature-preserving Elastic Quadratic Patch Modeling
A novel non-Gaussian embedding based model for recommender systems
Using RBFs in a CMAC to prevent parameter drift in adaptive control
Document representation and feature combination for deceptive spam review detection
Distributed cubature information filtering based on weighted average consensus
Approximation properties of ELM-fuzzy systems for smooth functions and their derivatives
Weighted least squares support vector machines: robustness and sparse approximation
Testable predictions from recurrent backpropagation models of the vestibulo-ocular reflex
A two-timescale neurodynamic approach to robust distributed model predictive control for nonlinear systems
Reducing training requirements through evolutionary based dimension reduction and subject transfer
Gated Graph Neural Attention Networks for abstractive summarization
Meta-learning approaches for learning-to-learn in deep learning: A survey
A neural-network-based approach to detecting rectangular objects
A probabilistic model for latent least squares regression
Automatic processing of Z-transform artificial neural networks using parallel programming
Tackling cyber-aggression: Identification and fine-grained categorization of aggressive texts on social media using weighted ensemble of transformers
Spatio-temporal prediction using graph neural networks: A survey
Convergence analysis of accelerated proximal extra-gradient method with applications
ESA: Excitation-Switchable Attention for convolutional neural networks
Finite-time boundedness analysis for a new multi-layer switched system with time-delay
Multi-level structured hybrid forest for joint head detection and pose estimation
Eliminating indeterminacy in ICA
Lateral interaction in accumulative computation: a model for motion detection
An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion
A substructure transfer reinforcement learning method based on metric learning
Observer-based adaptive neutral network inverse optimal containment control for nonlinear multiagent systems with input quantization
DPC-MFP: An adaptive density peaks clustering algorithm with multiple feature points
Weakly supervised semantic segmentation based on EM algorithm with localization clues
Unsupervised dictionary learning with Fisher discriminant for clustering
AttenStyler: Text-image style transfer based on attention mechanism
Progressive low-rank subspace alignment based on semi-supervised joint domain adaption for personalized emotion recognition
Robust techniques for independent component analysis (ICA) with noisy data
Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses
GCNet: Grid-like context-aware network for RGB-thermal semantic segmentation
Adaptive sparse dropout: Learning the certainty and uncertainty in deep neural networks
Optimization method based extreme learning machine for classification
Towards large-scale MR thigh image analysis via an integrated quantification framework
Optical neural networks based on optical fiber-communication system
Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control
A novel attribute reduction algorithm based on rough set and improved artificial fish swarm algorithm
A new robust ELM method based on a Bayesian framework with heavy-tailed distribution and weighted likelihood function
Multi-level semantic representation enhancement network for relationship extraction
Saliency Guided Debiasing: Detecting and mitigating biases in LMs using feature attribution
Adaptive neural network tracking control for nonlinear interconnected time-delay systems with prescribed performance
GPU-accelerated and parallelized ELM ensembles for large-scale regression
Velocity-Change-Space-based dynamic motion planning for mobile robots navigation
An effective pattern-based Bayesian classifier for evolving data stream
Urban bicycles renting systems: Modelling and optimization using nature-inspired search methods
Complex-valued neural networks for the Takagi vector of complex symmetric matrices
Exponential stability of numerical solutions to stochastic delay Hopfield neural networks
Bid optimization using maximum entropy reinforcement learning
Multiple-instance learning based decision neural networks for image retrieval and classification
Improving scalability of ART neural networks
Dual perspective-aware graph neural network for graph-level anomaly detection
A predictive and user-centric approach to Machine Learning in data streaming scenarios
A novel fitness allocation algorithm for maintaining a constant selective pressure during GA procedure
Reweighted stochastic learning
Neural networks for linear inverse problems with incomplete data especially in applications to signal and image reconstruction
Lag H∞ synchronization and lag synchronization for multiple derivative coupled complex networks
Spatio-temporal segments attention for skeleton-based action recognition
A deep latent space model for interpretable representation learning on directed graphs
Leader-follower sliding mode formation control of fractional-order multi-agent systems: A dynamic event-triggered mechanism
Exponential stability criterion of the switched neural networks with time-varying delay
Learning output kernels for multi-task problems
A new data-driven neural fuzzy system with collaborative fuzzy clustering mechanism
Nonnegative sparse coding induced hashing for image copy detection
Spatiotemporal non-negative projected convolutional network with bidirectional NMF and 3DCNN for remaining useful life estimation of bearings
Visual attention guided features selection with foveated images
Synchronization of delayed switched complex dynamical networks with multiple impulses: State-dependent switching control approach
One-shot pruning of gated recurrent unit neural network by sensitivity for time-series prediction
FASTCC: A lightweight human pose detection method leveraging SimCC
Attractor and boundedness for stochastic Cohen-Grossberg neural networks with delays
Kernel methods for heterogeneous feature selection
An imitation learning framework for generating multi-modal trajectories from unstructured demonstrations
Event-triggered adaptive vibration control for a flexible satellite with time-varying actuator faults
An improved k-prototypes clustering algorithm for mixed numeric and categorical data
PTS: Projected Topological Stream clustering algorithm
Multinomial logistic regression classifier via lq, 0-proximal Newton algorithm
PARALLEL NEUROSYS: A system for the simulation of very large networks of biologically accurate neurons on parallel computers
Convolutional neural network based diagnosis of bone pathologies of proximal humerus
An overview on probability undirected graphs and their applications in image processing
Second-order consensus in multi-agent systems with directed topologies and communication constraints
Learning in colloids: Synapse-like ZnO + DMSO colloid
A novel two-stage hybrid feature selection: Exploiting ubiquitous intrinsic feature groups
Hard-label adversarial attack with dual-granularity optimization on texts
Network representation learning with ensemble methods
Scheduling with neural networks: Application to timetable construction
A HMM-based adaptive fuzzy inference system for stock market forecasting
Total variation with overlapping group sparsity for speckle noise reduction
Special issue on new challenges in neural computation 2012
Comparison of distributed evolutionary k-means clustering algorithms
Delay-dependent robust stability analysis for interval linear time-variant systems with delays and application to delayed neural networks
Erratum to "Global exponential stability of delayed cellular neural networks with impulses": [Neurocomputing 70 (2007) 2495-2501]
ISABoost: A weak classifier inner structure adjusting based AdaBoost algorithm - ISABoost based application in scene categorization
Concept Accumulation and Gradient-Guided Adaption for continual learning in evolving streaming
MSCAN: Multimodal Self-and-Collaborative Attention Network for image aesthetic prediction tasks
Composite adaptive NN learning and control for discrete-time nonlinear uncertain systems in normal form
Spatial-adaptive mixup for domain adaptation in nighttime semantic segmentation
Folksonomy-based personalized search by hybrid user profiles in multiple levels
Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge
Finding decision jumps in text classification
Semi-supervised convex nonnegative matrix factorizations with graph regularized for image representation
Projection-based incomplete multi-view consensus bipartite graph representation learning