yusuke1997/dblp-id-title huggingface dataset:
Optimization of control parameters based on genetic algorithms for spacecraft attitude tracking with input constraints
HEMP: High-order entropy minimization for neural network compression
FAIR: Fair adversarial instance re-weighting
Sine-fitting multiharmonic algorithms implemented by artificial neural networks
Integrated adaptive dynamic programming for data-driven optimal controller design
The selection of input weights of extreme learning machine: A sample structure preserving point of view
Integration of weighted LS-SVM and manifold learning for fuzzy modeling
Unsupervised Bayesian Non Parametric approach for Non-Intrusive Load Monitoring based on time of usage
Training feedforward networks using simultaneous perturbation with dynamic tunneling
Build a compact binary neural network through bit-level sensitivity and data pruning
Forecasting electricity consumption using nonlinear projection and self-organizing maps
Stochastic gradient based extreme learning machines for stable online learning of advanced combustion engines
Noise-enhanced performance in reading
Combining local and global information for nonlinear dimensionality reduction
Entity disambiguation with memory network
A fitting model with optimal Multiple Image Hiding effect
Modeling and predicting AD progression by regression analysis of sequential clinical data
Discrete-time high-order neural network identifier trained with high-order sliding mode observer and unscented Kalman filter
Event-triggered passivity and synchronization of multiple derivative coupled reaction-diffusion neural networks
Neuro-fuzzy control of a mobile robot
Generalization performance of support vector classifiers for density level detection
Linguistic Lyapunov reinforcement learning control for robotic manipulators
Unsupervised meta-learning for few-shot classification by progressively enhancing task diversity
Graph traverse reference network for sign language corpus retrieval in the wild
A convolutional fuzzy min-max neural network
Non-fragile H ∞ state estimation for nonlinear networked system with probabilistic diverging disturbance and multiple missing measurements
Improved perception-based spiking neuron learning rule for real-time user authentication
ATPTrack: Visual tracking with alternating token pruning of dynamic templates and search region
OPTDP: Towards optimal personalized trajectory differential privacy for trajectory data publishing
Reinforcement learning facilitates an optimal interaction intensity for cooperation
Distributed Nash equilibrium searching for multi-agent games under false data injection attacks
Joint discriminative attributes and similarity embeddings modeling for zero-shot recognition
Soft focal loss: Evaluating sample quality for dense object detection
Eye localization based on weight binarization cascade convolution neural network
Different Zhang functions resulting in different ZNN models demonstrated via time-varying linear matrix-vector inequalities solving
Dynamic label correlations and dual-semantic enhancement learning for cross-modal retrieval
Recurrent convolutional neural network for answer selection in community question answering
Comparing animal and face processing in the context of natural scenes using a fast categorization task
A tensor framework for learning in structured domains
A three-stage method for batch-based incremental nonnegative matrix factorization
Grassmannian learning mutual subspace method for image set recognition
A multi-encoder neural conversation model
Tree Echo State Networks
Unsupervised Orthogonal Facial Representation Extraction via image reconstruction with correlation minimization
DSQN: Robust path planning of mobile robot based on deep spiking Q-network
Frequency regulation demonstrated by coupling a model and a biological neuron
Transfer learning with partial related "instance-feature" knowledge
Depth guided feature selection for RGBD salient object detection
A two-layer temporal generative model of natural video exhibits complex-cell-like pooling of simple cell outputs
CurveMEF: Multi-exposure fusion via curve embedding network
A neural implementation of the JADE algorithm (nJADE) using higher-order neurons
A hybrid improved PSO-DV algorithm for multi-robot path planning in a clutter environment
Dynamic classifier ensemble using classification confidence
Feature extraction using dual-tree complex wavelet transform and gray level co-occurrence matrix
Taylor saves for later: Disentanglement for video prediction using Taylor representation
Versatile sparse matrix factorization: Theory and applications
Robust stability for neural networks with time-varying delays and linear fractional uncertainties
Domain adaptation with SBADA-GAN and Mean Teacher
Learning from concept drifting data streams with unlabeled data
FGNG: A fast multi-dimensional growing neural gas implementation
Dynamical analysis on the multistability of high-order neural networks
Adaptive neural control for mobile manipulator systems based on adaptive state observer
Adaptive multiscale feature for object detection
A novel chaos-based secure transmission of biometric data
Auto-weighted exponential tensor nuclear norm minimization for multi-attribute low-dimensional subspace clustering
Global-local manifold embedding broad graph convolutional network for hyperspectral image classification
Cost-sensitive joint feature and dictionary learning for face recognition
Online distributed stochastic learning algorithm for convex optimization in time-varying directed networks
A non-parametric electrode model for intracellular recording
Observer-based finite-time fuzzy adaptive control for MIMO non-strict feedback nonlinear systems with errors constraint
Global dissipativity of a class of quaternion-valued BAM neural networks with time delay
Improving Chinese character representation with formation tree
Automatic neural-based pattern classification of motion behaviors in autonomous robots
Novel observer-based output feedback control synthesis of discrete-time nonlinear control systems via a fuzzy approach
Superdense-scale network for semantic segmentation
Persistence of hierarchical network organization and emergent topologies in models of functional connectivity
Biological context of Hebb learning in artificial neural networks, a review
Input reduction of convolutional neural networks with global sensitivity analysis as a data-centric approach
Partial person re-identification with two-stream network and reconstruction
Robust adaptive neural tracking control for a class of nonlinear systems with unmodeled dynamics using disturbance observer
Combined scaling for zero-shot transfer learning
Learning spatiotemporal features by using independent component analysis with application to facial expression recognition
Global exponential synchronization of interval neural networks with mixed delays via delayed impulsive control
Adaptive finite-time quantized synchronization of complex dynamical networks with quantized time-varying delayed couplings
Retraction notice to 'Camouflage Texture Design Based on Camouflage Performance Evaluation' [Neurocomputing, 274, 24 January 2018, 106-114]
SPMGAE: Self-purified masked graph autoencoders release robust expression power
MVC-former adaptation: A multi-view convolution transformer-based domain adaptation framework for cross-subject motor imagery classification
CMC-GCN: Consistent multi-granularity cascading graph convolution network for multi-behavior recommendation
GeoExplainer: Interpreting Graph Convolutional Networks with geometric masking
Learning by expansion: Exploiting social media for image classification with few training examples
Hybrid lane change strategy of autonomous vehicles based on SOAR cognitive architecture and deep reinforcement learning
Time encoding with an integrate-and-fire neuron with a refractory period
Evolution of neural networks for classification and regression
Doubly constrained network for combinatorial optimization
Multi-level neural prompt for zero-shot weakly supervised group activity recognition
Decoupled likelihood modeling: A scalable approach for incremental generalized category discovery
Hard Decorrelated Centralized Loss for fine-grained image retrieval
Phase-based cerebellar learning of dynamic signals
Multimodal sentiment analysis with unidirectional modality translation
Distributed consensus of multi-agent systems over general directed networks with limited bandwidth communication
Combined special issue SOCO 2012-2013: Recent advancements in soft computing and its application in industrial and environmental problems
A neural model for straight line detection in the human visual cortex
Optimal state estimation for finite-field networks with stochastic disturbances
Relation-oriented few-shot knowledge graph prototype networks
Quantum neural architecture search with caching mechanism and binary surrogate via enhanced spider wasp optimization
Meta weight learning via model-agnostic meta -learning
Towards improving the efficiency of the fuzzy cognitive map classifier
Coarse-to-fine salient object detection with low-rank matrix recovery
Event-triggered H ∞ control for uncertain networked T-S fuzzy systems with time delay
A novel self-supervised deep LSTM network for industrial temperature prediction in aluminum processes application
A computational model of the interaction of membrane potential oscillations with inhibitory synaptic input in cortical cells
Quasi-projective synchronization of memristor-based complex valued recurrent neural network with time-varying delay and mismatched parameters
Diminishing-feature attack: The adversarial infiltration on visual tracking
Contrastive semantic disentanglement with expert gating selection for knowledge graph completion
New and improved results for recurrent neural networks with interval time-varying delay
Observer-based H ∞ fuzzy control for modified repetitive control systems
Robust multi-view learning with the bounded LINEX loss
Evidences of cognitive effects over auditory steady-state responses by means of artificial neural networks and its use in brain-computer interfaces
Robust jointly sparse embedding for dimensionality reduction
MLTL: A multi-label approach for the Tomek Link undersampling algorithm
Memristive FHN spiking neuron model and brain-inspired threshold logic computing
Residual attention-based multi-scale script identification in scene text images
Adaptive particle swarm optimization for CNN associative memories design
HRL-Painter: Optimal planning painter based on hierarchical reinforcement learning
Advances in teaching-learning-based optimization algorithm: A comprehensive survey(ICIC2022)
ACO-based hybrid classification system with feature subset selection and model parameters optimization
Scale-aware spatial pyramid pooling with both encoder-mask and scale-attention for semantic segmentation
SARPNET: Shape attention regional proposal network for liDAR-based 3D object detection
Simultaneous hyperspectral image super-resolution and geometric alignment with a hybrid camera system
Ensemble of classifiers for protein fold recognition
An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition
Modeling radiation-induced lung injury risk with an ensemble of support vector machines
Cross-modal attention and geometric contextual aggregation network for 6DoF object pose estimation
A SMDP-based forwarding scheme in named data networking
An improved Elman neural network with piecewise weighted gradient for time series prediction
Leader-following synchronization of coupled time-delay neural networks via delayed impulsive control
Where am I in the dark: Exploring active transfer learning on the use of indoor localization based on thermal imaging
Cluster analysis based on attractor particle swarm optimization with boundary zoomed for working conditions classification of power plant pulverizing system
A vehicle classification system based on hierarchical multi-SVMs in crowded traffic scenes
Using fuzzy logic to improve a clustering technique for function approximation
EnfoMax: Domain entropy and mutual information maximization for domain generalized face anti-spoofing
Fusing highly dimensional energy and connectivity features to identify affective states from EEG signals
A class of augmented complex-value FLANN adaptive algorithms for nonlinear systems
Molecular graph enhanced transformer for retrosynthesis prediction
Self-training semi-supervised classification based on density peaks of data
Automated vehicles in swarm configuration: Simulation and analysis
Neural network based boundary control of a vibrating string system with input deadzone
A fast optimization approach for seeking Nash equilibrium based on Nikaido-Isoda function, state transition algorithm and Gauss-Seidel technique
Semi-supervised multi-label classification using incomplete label information
Relevance vector machine with adaptive wavelet kernels for efficient image coding
Melt index prediction by neural networks based on independent component analysis and multi-scale analysis
Improved stability criteria for uncertain delayed neural networks
Editorial: Deep dictionary learning: Algorithm, theory and application
Online multiple object tracking based on fusing global and partial features
DFCT-net for automatic modulation recognition in UAV communication systems
Improving resistance to adversarial deformations by regularizing gradients
Leveraging denoising diffusion probabilistic model to improve the multi-thickness CT segmentation
Biased p-norm support vector machine for PU learning
Comparison of different image denoising algorithms for Chinese calligraphy images
Accelerated fMRI reconstruction using Matrix Completion with Sparse Recovery via Split Bregman
A self-organizing map of sigma-pi units
Marginal samples for knowledge distillation
Multi-task manifold learning for small sample size datasets
Sales forecasting of computer products based on variable selection scheme and support vector regression
Nonlinear time-delay anti-windup compensator synthesis for nonlinear time-delay systems: A delay-range-dependent approach
Random Fourier extreme learning machine with ℓ 2, 1 -norm regularization
ML-HAN: Multi-level heterogeneous graph attention network for representation learning with semantic diversity via feature-node-semantic attention
A modified differential evolution algorithm for unconstrained optimization problems
Improved delay-dependent stability criteria for neural networks with two additive time-varying delay components
Novel H ∞ state estimation of static neural networks with interval time-varying delays via augmented Lyapunov-Krasovskii functional
Realistic computer simulation of cortical lesion induced imbalances in properties of somatotopic maps
Do we really need a new theory to understand over-parameterization?
Development of receptive fields in a closed-loop behavioural system
Two-level superpixel and feedback based visual object tracking
Combining appearance and structural features for human action recognition
Variational Bayesian inference for interval regression with an asymmetric Laplace distribution
Learning deep texture-structure decomposition for low-light image restoration and enhancement
Optimal tracking control for completely unknown nonlinear discrete-time Markov jump systems using data-based reinforcement learning method
Scalable deep asymmetric hashing via unequal-dimensional embeddings for image similarity search
Mutually aided uncertainty incorporated dual consistency regularization with pseudo label for semi-supervised medical image segmentation
Dynamic event-triggered-based single-network ADP optimal tracking control for the unknown nonlinear system with constrained input
Robust stability of uncertain fractional order singular systems with neutral and time-varying delays
Stable ANFIS2 for Nonlinear System Identification
Light-weight network for real-time adaptive stereo depth estimation
An approach for improving face recognition in presence of inaccurate detection
Matching entities across online social networks
A weight initialization method for improving training speed in feedforward neural network
Implicit and explicit attention mechanisms for zero-shot learning
Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment
Pursuit-evasion game of under-actuated ASVs based on deep reinforcement learning and model predictive path integral control
Facial expression recognition using sparse local Fisher discriminant analysis
Kernel approximately harmonic projection
DSAA: Cross-modal transferable double sparse adversarial attacks from images to videos
Computational efficiency circuitry for detecting shadows in hexagonal array of compound eye
Bandit-based local feature subset selection
Extended finite-time H ∞ control for uncertain switched linear neutral systems with time-varying delays
Category-learning attention mechanism for short text filtering
Lifelong representation learning in dynamic attributed networks
A principled approach to image denoising with similarity kernels involving patches
Multi-view inter-modality representation with progressive fusion for image-text matching
Multi-scale feature fusion for single image novel view synthesis
Tabu search for CNN template learning
Structured partial least squares based appearance model for visual tracking
A computational neuroscience account of visual neglect
Multi-view clustering based on generalized low rank approximation
Bipartite tracking consensus for fractional-order nonlinear multiagent systems with sampled-data and input saturation
Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm
Annotation modification for fine-grained visual recognition
Pinning synchronization for delayed coupling complex dynamical networks with incomplete transition rates Markovian jump
Combining paper cooperative network and topic model for expert topic analysis and extraction
Distributed optimal control for multi-agent systems with obstacle avoidance
Adversarial and counter-adversarial support vector machines
Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis
FriendBurst: Ranking people who get friends fast in a short time
GraphFusion: Integrating multi-level semantic information with graph computing for enhanced 3D instance segmentation
Multi-period visual tracking via online DeepBoost learning
Event-triggered near-optimal tracking control based on adaptive dynamic programming for discrete-time systems
A selection-pattern-aware recommendation model with colored-motif attention network
MADFlow: Multimodal difference compensation flow for multimodal anomaly detection
A novel deep neural network based approach for sparse code multiple access
The neural dynamics for hysteresis in visual perception
Hopfield neural networks for optimization: study of the different dynamics
Evolutionary recurrent neural network for image captioning
A parallel algorithm for solving Unfriendly Beehive Problems
Local correlation-based ("push-pull") circuitry can account for non-linear summation of stimuli in a model of cat V1
Effects of presynaptic, postsynaptic resource redistribution in Hebbian weight adaptation
Lessons from an Optical Illusion - On Nature and Nurture, Knowledge and Values, Edward M. Hundert (Ed.), Harvard University Press, Harvard 1995, pp 258, ISBN 0-674-52540-X
A new financial data forecasting model using genetic algorithm and long short-term memory network
A graph matching algorithm based on concavely regularized convex relaxation
Dynamic group optimisation algorithm for training feed-forward neural networks
Algorithm for faster computation of non-zero graph based invariants
SIFT on manifold: An intrinsic description
A network model with pyramidal cells and GABAergic non-FS cells in the cerebral cortex
A multi-task model for simultaneous face identification and facial expression recognition
Sonar image garbage detection via global despeckling and dynamic attention graph optimization
Metaphor identification: A contextual inconsistency based neural sequence labeling approach
A nonlinear MESFET model for intermodulation analysis using a generalized radial basis function network
Practical consensus of T-S fuzzy positive multi-agent systems using linear programming
A novel hybrid approach utilizing principal component regression and random forest regression to bridge the period of GPS outages
CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration
Wilcoxon-type multivariate cluster elastic net
A multi-objective approach to RBF network learning
Incremental density-based ensemble clustering over evolving data streams
Soft querying powered by user-defined functions in J-CO-QL +
Correlation filter tracker with siamese: A robust and real-time object tracking framework
Exponential mean-square H ∞ filtering for arbitrarily switched neural networks with missing measurements
New results on passivity analysis of memristive neural networks with time-varying delays and reaction-diffusion term
RankCompete: Simultaneous ranking and clustering of information networks
Action Units recognition based on Deep Spatial-Convolutional and Multi-label Residual network
A novel multi-view clustering method via low-rank and matrix-induced regularization
A note on an extreme case of the generalized optimal discriminant transformation
Deep Rotation Equivariant Network
Multi-view graph anomaly detection via subgraph anomaly augmentation
The direction of figure is determined by asymmetric surrounding suppression/facilitation
Comparison of end-to-end and hybrid deep reinforcement learning strategies for controlling cable-driven parallel robots
Abstractive meeting summarization by hierarchical adaptive segmental network learning with multiple revising steps
Self-generation RBFNs using evolutional PSO learning
ELM-SOM+: A continuous mapping for visualization
Toward an audiovisual attention model for multimodal video content
Consensus and diversity-fusion partial-view-shared multi-view learning
Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data
Quantized subgradient algorithm with limited bandwidth communications for solving distributed optimization over general directed multi-agent networks
A multi-task framework based on decomposition for multimodal named entity recognition
Optimized weights of document keywords for auto-reply accuracy
Event-triggered adaptive consensus tracking control for non-affine multi-agent systems
WRTRe: Weighted relative position transformer for joint entity and relation extraction
Financial time series prediction using ℓ 2, 1 RF-ELM
The updating strategy for the safe control Bayesian network model under the abnormity in the thickening process of gold hydrometallurgy
Incremental few-shot learning via implanting and consolidating
A variance-constrained method to encoding-decoding H∞ state estimation for memristive neural networks with energy harvesting sensor
PNC-based trend feature extraction method for time series data
Finite-time anti-synchronization of neural networks with time-varying delays
Fusion of classifiers for predicting protein-protein interactions
An improvement of symbolic aggregate approximation distance measure for time series
On-line training of a continually adapting adaline-like network
Web video categorization using category-predictive classifiers and category-specific concept classifiers
Hybrid Attention for Chinese Character-Level Neural Machine Translation
Existence and globally exponential stability of periodic solution of BAM neural networks with impulses and recent-history distributed delays
Chaotic synchronization in general network topology for scene segmentation
Local uniform stability of competitive neural networks with different time-scales under vanishing perturbations
Low-Rank Projection Learning via Graph Embedding
A nonconvex function activated noise-tolerant neurodynamic model aided with Fischer-Burmeister function for time-varying quadratic programming in the presence of noises
Unifying tensor factorization and tensor nuclear norm approaches for low-rank tensor completion