yusuke1997/dblp-id-title huggingface dataset:
A novel image super-resolution algorithm based on multi-scale dense recursive fusion network
SandGAN: Style-Mix Assisted Noise Distortion for Imbalanced Conditional Image Synthesis
Identification of drug-target interactions via multi-view graph regularized link propagation model
TNPNet: An approach to Few-shot open-set recognition via contextual transductive learning
Combining local face image features for identity verification
Quality-driven deep active learning method for 3D brain MRI segmentation
An overview of stability analysis and state estimation for memristive neural networks
Multi-player evolutionary game of federated learning incentive mechanism based on system dynamics
Echo State Networks: Novel reservoir selection and hyperparameter optimization model for time series forecasting
Learning principal directions: Integrated-squared-error minimization
Stability constraints for oscillatory neural networks
Least squares support vector machine with self-organizing multiple kernel learning and sparsity
ML-PINN: A memory-efficient physics-informed Mamba-LSTM network for fast and accurate PDE solving
Self-supervised graph representations with generative adversarial learning
Joint image deblurring and super-resolution with attention dual supervised network
An ongoing review of speech emotion recognition
Distributional reinforcement learning with unconstrained monotonic neural networks
Multi-label transfer learning for the early diagnosis of breast cancer
SparseSwin: Swin transformer with sparse transformer block
Spatio-temporal information coding in the cuneate nucleus
New generalized integral inequality and its application in exponential stability of impulsive neutral neural networks driven by G-Brownian motion
Manifold Mapping Machine
Linguistic steganalysis via multi-task with crossing generative-natural domain
Intelligent fuzzy control with imperfect premise matching concept for complex nonlinear multiplicative noised systems
Subspace clustering via structure-enforced dictionary learning
Identification of nonlinear systems with time-varying parameters using a sliding-neural network observer
Force field convergence map and Log-Gabor filter based multi-view ear feature extraction
A novel intermittent sliding mode control approach to finite-time synchronization of complex-valued neural networks
Human pose estimation based on frequency domain and attention module
Fuzzy time-series model based on rough set rule induction for forecasting stock price
Adaptive NN-based finite-time tracking control for wheeled mobile robots with time-varying full state constraints
Discriminative sparse projections for activity-based person recognition
Joint-Modal Graph Convolutional Hashing for unsupervised cross-modal retrieval
Incorporating context-relevant concepts into convolutional neural networks for short text classification
Heteroscedastic kernel ridge regression
A domain constrained deformable (DoCD) model for co-registration of pre- and post-radiated prostate MRI
A detailed three-dimensional model of the cerebellar granular layer
Handling negative samples problems in span-based nested named entity recognition
Sentiment analysis for Chinese microblog based on deep neural networks with convolutional extension features
An edge detection method using outer Totalistic Cellular Automata
Global2Salient: Self-adaptive feature aggregation for remote sensing smoke detection
Upper bound of Bayesian generalization error in non-negative matrix factorization
L2M-GCN: A new framework for learning robust GCN against structural attacks
Multi-task learning model based on recurrent convolutional neural networks for citation sentiment and purpose classification
A multimodal traffic scene understanding model integrated with optical flow maps
Re-creating active states in vitro with a dynamic-clamp protocol
Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy
Epoch-incremental Dyna-learning and prioritized sweeping algorithms
Unsupervised video summarization using deep Non-Local video summarization networks
A classification model for semantic entailment recognition with feature combination
PRNet: A Progressive Refinement Network for referring image segmentation
A multi-task learning framework with prompt-based hybrid alignment for vision-language model
A case for the self-adaptation of activation functions in FFANNs
K-nearest neighbor-based weighted multi-class twin support vector machine
A protocol-based simulation for linking computational and experimental studies
Three-dimensional reconstruction of neuronal forests
Uncertainty-guided Diffusion Model for 3D Human Pose Estimation
A deep increasing-decreasing-linear neural network for financial time series prediction
On hyperparameter optimization of machine learning algorithms: Theory and practice
Writer identification using global wavelet-based features
Simple model neurons with AMPA and NMDA filters: role of synaptic time scales
When collaborative representation meets subspace projection: A novel supervised framework of graph construction augmented by anti-collaborative representation
Laplacian regularized locality-constrained coding for image classification
LEAP nets for system identification and application to power systems
Estimating VaR in crude oil market: A novel multi-scale non-linear ensemble approach incorporating wavelet analysis and neural network
Learning transform-aware attentive network for object tracking
Multi-task and multi-view training for end-to-end relation extraction
Fixed/Preassigned-time synchronization of delayed fuzzy memristive neural networks with reaction-diffusion terms
Unsupervised real-time anomaly detection for streaming data
Category kappas for agreement between fuzzy classifications
Hierarchical organization and neuronal response latencies in the primate visual system
Further improved results on non-fragile H ∞ performance state estimation for delayed static neural networks
Distributed coding by single spikes in the bullfrog vestibular nerve: a basis for dynamical computation in neural systems
GSA-GAN: Global Spatial Attention Generative Adversarial Networks
Attention based collaborative filtering
Self-triggered fault estimation and fault tolerant control for networked control systems
Secure state estimation of memristive neural networks with dynamic self-triggered strategy subject to deception attacks
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks
Adaptive neural fault-tolerant consensus tracking for input-delayed multi-agent systems with quantized states/input and application on mechanical systems
Progressive transduction nonnegative matrix factorization for dimensionality reduction
Robust feature matching via advanced neighborhood topology consensus
Simplified reinforcement learning control algorithm for p -norm multiagent systems with full-state constraints
A unified framework to exploit information in BCI data for continuous prediction
Adaptive spatiotemporal graph convolutional network with intermediate aggregation of multi-stream skeleton features for action recognition
Channel pruning based on convolutional neural network sensitivity
Origin of firing varibility of the integrate-and-fire model
Attention-Based Multi-Kernelized and Boundary-Aware Network for image semantic segmentation
Robust pixelwise saliency detection via progressive graph rankings
Online continual learning through unsupervised mutual information maximization
Diversity measures for one-class classifier ensembles
Stability and synchronization of memristor-based coupling neural networks with time-varying delays via intermittent control
TISE-LSTM: A LSTM model for precipitation nowcasting with temporal interactions and spatial extract blocks
Sensor network based distributed state estimation for maneuvering target with guaranteed performances
SMFSwap: Student-aware multi-teacher knowledge distillation for fast face-swapping
ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution
Multi-tag radio-frequency identification systems based on new blind source separation neural networks
Enhancing recommendation on extremely sparse data with blocks-coupled non-negative matrix factorization
Multi-attention associate prediction network for visual tracking
Analysis of physiological for emotion recognition with the IRS model
Decomposition techniques for training linear programming support vector machines
Impulsive delayed integro-differential inequality and its application on IMNNs with discrete and distributed delays
Fat-Fast VG-RAM WNN: A high performance approach
Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching
Multimodal learning for topic sentiment analysis in microblogging
An efficient approach to content-based object retrieval in videos
Weakly supervised semantic segmentation with multi-task learning and segment anything model
Learning concept-drifting data streams with random ensemble decision trees
A motion detection model inspired by hippocampal function and its applications to obstacle detection
Kernel inverse Fisher discriminant analysis for face recognition
RAD-IQMRI: A benchmark for MRI image quality assessment
mmChainPose: Geometry-aware temporal chaining for robust human pose estimation from mmWave point clouds
A Neural Probabilistic outlier detection method for categorical data
Boundedness and convergence of split complex gradient descent algorithm with momentum and regularizer for TSK fuzzy models
Ensemble of single-layered complex-valued neural networks for classification tasks
Efficient energy-based neural topic modeling with embeddings
Reading auditory discrimination behaviour of freely moving rats from hippocampal EEG
Knowledge graph based natural language generation with adapted pointer-generator networks
A systematic analysis of a V1-MT neural model for motion estimation
On learning the visibility for joint importance sampling of low-order scattering
Random projection-based partial feature extraction for robust face recognition
A novel MAS-GAN-based data synthesis method for object surface defect detection
Improved image denoising via self-supervised Weickert operator learning and plug-and-play learned Primal Dual
Wasserstein Adversarially Regularized Graph Autoencoder
Hashing with dual complementary projection learning for fast image retrieval
Bayesian selection of important features for feedforward neural networks
Doubly stochastic scaling unifies community detection
Pixel-wise regression using U-Net and its application on pansharpening
Multi-object tracking with hard-soft attention network and group-based cost minimization
Robust H ∞ output-feedback yaw control for in-wheel motor driven electric vehicles with differential steering
A lightweight multi-scale multi-angle dynamic interactive transformer-CNN fusion model for 3D medical image segmentation
Learning second-order statistics for place recognition based on robust covariance estimation of CNN features
A neurobiologically inspired mapping and navigating framework for mobile robots
Priming cross-session motor imagery classification with a universal deep domain adaptation framework
A deep variational matrix factorization method for recommendation on large scale sparse dataset
Semi-supervised classification with pairwise constraints
Modeling error PDF optimization based wavelet neural network modeling of dynamic system and its application in blast furnace ironmaking
TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification
Improved cost function-based fault tolerant control for nonlinear systems with simultaneous faults
On the role of sparsity in feature selection and an innovative method LRMI
Depth-aware inverted refinement network for RGB-D salient object detection
Comparison between time-constrained and time-unconstrained optimization for power losses minimization in Smart Grids using genetic algorithms
Convolutional neural networks for hyperspectral image classification
A top- k POI recommendation approach based on LBSN and multi-graph fusion
Aperiodically intermittent pinning discrete-time observation control for exponential synchronization of stochastic multilayer coupled systems
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification
Responding efficiently to relevant stimuli using an emotion-based agent architecture
CNN Injected transformer for image exposure correction
Delving deep into the imbalance of positive proposals in two-stage object detection
Merging fixation for saliency detection in a multilayer graph
The correlation-based tucker decomposition for hyperspectral image compression
Prediction of protein N-formylation and comparison with N-acetylation based on a feature selection method
Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier
Randomized sketches for sparse additive models
Global Mittag-Leffler stabilization of fractional-order bidirectional associative memory neural networks
A method of multivariable Hermite basis function approximation
Revisiting paraphrase question generator using pairwise discriminator
Exponential stability of stochastic memristor-based recurrent neural networks with time-varying delays
Pruning strategies for nearest neighbor competence preservation learners
Anti-periodic solutions for high-order Hopfield neural networks with impulses
Performance investigation of I∊-indicator and I∊+-indicator based on Lp-norm
Adaptive dynamic programming for data-based optimal state regulation with experience replay
Building change detection with RGB-D map generated from UAV images
TSRGAN: Real-world text image super-resolution based on adversarial learning and triplet attention
Anomaly detection in attributed networks via local multi-order contrastive learning and global topology awareness
Identifying local useful information for attribute graph anomaly detection
Scene classification using multiple features in a two-stage probabilistic classification framework
Neural network-based H ∞ sliding mode control for nonlinear systems with actuator faults and unmatched disturbances
Common belief multi-agent reinforcement learning based on variational recurrent models
Passive IIR deconvolution of two-dimensional digital systems subject to missing measurements
Towards effective detection of elderly falls with CNN-LSTM neural networks
Self-adjusting feature maps network and its applications
Nonlinear feature selection on attributed networks
Deep saliency detection via channel-wise hierarchical feature responses
Robust stabilization of switched fuzzy systems with actuator dead zone
A hybrid intelligent classifier for anomaly detection
Deep smoke segmentation
A Two-stage Chinese text summarization algorithm using keyword information and adversarial learning
CaPTURe: Cartoon Pose Transfer Using Reverse Attention
A high dimensional delay selection for the reconstruction of proper phase space with cross auto-correlation
Interactions between slow and fast conductances in the Huber/Braun model of cold-receptor discharges
CPT-SNN: A spiking neural network that can combine the previous timestep
A novel deep learning driven, low-cost mobility prediction approach for 5G cellular networks: The case of the Control/Data Separation Architecture (CDSA)
Granular support vector machine based on mixed measure
Partial least squares for face hashing
Somebody helps me: Travel video scene detection using web-based context
High-level Motion Processing: Computational, Neurobiological, and Psychological Perspectives : Takeo Watanabe (Ed.); MIT Press, Cambridge, MA, 1998, pp 417, ISBN 0-262-23195-6
Coupling Adversarial Graph Embedding for transductive zero-shot action recognition
Neural-network-based adaptive secure control for nonstrict-feedback nonlinear interconnected systems under DoS attacks
M-MDD: A multi-task deep learning framework for major depressive disorder diagnosis using EEG
Probabilistic forecasting with temporal convolutional neural network
EV charging bidding by multi-DQN reinforcement learning in electricity auction market
Kernelized vector quantization in gradient-descent learning
Random pulse input versus continuous current plus white noise: Are they equivalent?
A comprehensive cluster and classification mining procedure for daily stock market return forecasting
Meta-learning for compressed language model: A multiple choice question answering study
Design and analysis of three nonlinearly activated ZNN models for solving time-varying linear matrix inequalities in finite time
Easy and effective! Data augmentation for knowledge-aware dialogue generation via multi-perspective sentences interaction
A modified self-organizing neural net for shape extraction
Iterative Point Matching via multi-direction geometric serialization and reliable correspondence selection
Partial multi-view spectral clustering
Multi-source urban data fusion for property value assessment: A case study in Philadelphia
Bidirectional Gated Temporal Convolution with Attention for text classification
Improved pruning strategy for radial basis function networks with dynamic decay adjustment
Simplifying the creation and management of utility models in continuous domains for cognitive robotics
Multi-level discriminator based contrastive learning for multiplex networks
Power quality event characterization using support vector machine and optimization using advanced immune algorithm
Unsupervised learning based coordinated multi-task allocation for unmanned surface vehicles
Alpha-divergence minimization with mixed variational posterior for Bayesian neural networks and its robustness against adversarial examples
A cooperative framework of learning automata and its application in tutorial-like system
A two-phase half-async method for heterogeneity-aware federated learning
Image captioning via semantic element embedding
Training robust support vector machine with smooth Ramp loss in the primal space
Mask-guided modality difference reduction network for RGB-T semantic segmentation
Modified support vector machines in financial time series forecasting
Green virtual network embedding with supervised self-organizing map
Online data processing
Progressive interactive training: A sequential neural network ensemble learning method
Quadratic separation framework for stability analysis of a class of systems with time delays
MPMixer: Multi-scale Patch Mixer for long-term time series forecasting
Quantized asynchronous dissipative state estimation of jumping neural networks subject to occurring randomly sensor saturations
Stabilization analysis of incommensurate fractional-order memristor-based neural networks via delay-dependent distributed controller
Mean-square synchronization of fractional-order stochastic complex network via pinning control
End-to-end feature diversity person search with rank constraint of cross-class matrix
Multi-view Sparsity Preserving Projection for dimension reduction
Neural field description of state-dependent visual receptive field changes
SAGA-Feat: A semantic- and geometry-aware network for sparse local feature learning
Complete vector quantization of feedforward neural networks
Learning intentional behavior in the K-model of the amygdala and entorhinal cortex with the cortico-hyppocampal formation
Reactive obstacle avoidance of monocular quadrotors with online adapted depth prediction network
Finite sample effects of the fast ICA algorithm
Robust fMRI time-varying functional connectivity analysis using multivariate swarm decomposition
Deep multi-center learning for face alignment
A semi-supervised learning algorithm via adaptive Laplacian graph
Incorporating prior knowledge into artificial neural networks - an industrial case study
Observer-based adaptive fixed-time formation control for multi-agent systems with unknown uncertainties
A minimal Munsell value error based laser printer model
Personalized topic-based tag recommendation
Multi-dimensional extreme learning machine
M3FPolypSegNet++: Adaptive Gaussian frequency decomposition with multi-task learning for polyp segmentation
Metapath-based feature aggregated heterogeneous graph neural network for adverse drug reactions prediction
Linear local tangent space alignment and application to face recognition
Efficient adversarial training with multi-fidelity optimization for robust neural network
Feature selection for time series prediction - A combined filter and wrapper approach for neural networks
Performance analysis of networked control systems over AWGN fading channels
Partial ordered Wasserstein distance for sequential data
Superpixel semantics representation and pre-training for vision-language tasks
A self-organising mixture autoregressive network for FX time series modelling and prediction
Recurrent neural network generates a basis for sensory image cancellation
Text detection approach based on confidence map and context information
Contour detection via stacking random forest learning
An integrate-and-fire-based auditory nerve model and its response to high-rate pulse train
Connection between multilayer perceptrons and regression using independent component analysis
Exploiting geometrical structures using Autoencoders and click data for image re-ranking
Sensor fault detection and diagnosis in the presence of outliers
Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine
Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients
Matrix completion with capped nuclear norm via majorized proximal minimization
3SHACC: Three stages hybrid agglomerative constrained clustering
Enhancing code summarization with action word prediction
Neural network-based reinforcement learning control for combined spacecraft attitude tracking maneuvers
Domain adaptation via Multi-Layer Transfer Learning
Autonomous root-cause fault diagnosis using symbolic dynamic based causality analysis
Sequential row-column independent component analysis for face recognition
Event-based triple asynchronous switching control for fuzzy neural networks: A full-information dependent Lyapunov approach
A stochastic optimization technique for hyperparameter tuning in reservoir computing
Low-rank decomposition and Laplacian group sparse coding for image classification
Causal localization of neural function: the Shapley value method
Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network
Reinforcement learning in a rule-based navigator for robotic manipulators
Learning stabilizable symplectic ODE-net-based MPC for autonomous vehicle trajectory tracking
Mean square exponential synchronization for a class of Markovian switching complex networks under feedback control and M-matrix approach
The virtual dogfish: An environment for modelling neural computations in cerebellar-like circuitry of the elasmobranch electrosensory system
Robust self-organization with M-estimators
Nonlinear analysis of orientation tuning: Stationary properties of simple cells in V1
Excitatory and inhibitory synaptic inputs are modulated by the spatial distribution of dendritic voltage-dependent channels: Modelling in realistic alpha-motoneuron
Gaussian moments for noisy complexity pursuit
Iterative sparsity score for feature selection and its extension for multimodal data
Defending against adversarial attacks using spherical sampling-based variational auto-encoder
Imperceptible diffusion modification for facial privacy protection
Selected papers from the 2011 International Conference on Neural Information Processing (ICONIP 2011)
Intelligent processing techniques for semantic-based image and video retrieval
MG-MVSNet: Multiple granularities feature fusion network for multi-view stereo
Classification of electromyographic hand gesture signals using machine learning techniques
Visual tracking based on improved foreground detection and perceptual hashing
Exponential stability of recurrent neural networks with both time-varying delays and general activation functions via LMI approach