yusuke1997/dblp-id-title huggingface dataset:
A comprehensive overview of Generative AI (GAI): Technologies, applications, and challenges
Visual homograph: A novel basic visual element
Deficiencies in traditional measures of in vitro hippocampal rhythms
Causality-driven sequence segmentation assisted soft sensing for multiphase industrial processes
Leader-following consensus of fractional-order multi-agent systems under fixed topology
Cost-performance evaluation of analog neural networks and high order networks
An interpretable bilateral detail optimization deep unfolding network for pansharpening
Design of Mexican Hat Wavelet neural networks for solving Bratu type nonlinear systems
Trajectory tracking with obstacle avoidance of redundant manipulator based on fuzzy inference systems
Actor identification via mining representative actions
A bio-system inspired nonline ar intelligent controller with application to bio-reactor system
Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI
Nonparametric discriminant multi-manifold learning for dimensionality reduction
A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition
MiniExpNet: A small and effective facial expression recognition network based on facial local regions
TWilBert: Pre-trained deep bidirectional transformers for Spanish Twitter
Delay-dependent criteria for periodicity and exponential stability of inertial neural networks with time-varying delays
Domain Adaptation of Anchor-Free object detection for urban traffic
ℓ p -norm multiple kernel learning with low-rank kernels
A binary harmony search algorithm as channel selection method for motor imagery-based BCI
Feature extraction based on fuzzy 2DLDA
Optimal distributed cooperative control for multi-agent systems with constrains on convergence speed and control input
Clustering and pattern search for enhancing particle swarm optimization with Euclidean spatial neighborhood search
DarkMor: A framework for darknet traffic detection that integrates local and spatial features
Fault detection and other time series opportunities in the petroleum industry
Two algorithms for orthogonal nonnegative matrix factorization with application to clustering
Design of an artificial bionic neural network to control fish-robot's locomotion
Corrigendum to "Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms" [Neurocomputing 347 (2019) 240-250]
A novel classification method using the combination of FDPS and flexible neural tree
IE-collaborative attention for spatial feature refinement and boundary aware in real-time semantic segmentation
Salient object detection for RGB-D image by single stream recurrent convolution neural network
Recognizing human group action by layered model with multiple cues
Gated hierarchical multi-task learning network for judicial decision prediction
Spatial and temporal scoring for egocentric video summarization
Query difficulty estimation for image retrieval
How efficient deep-learning object detectors are?
Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering
Over-relaxed multi-block ADMM algorithms for doubly regularized support vector machines
Spike-frequency adaptation: Phenomenological model and experimental tests
Innovative NARX recurrent neural network model for ultra-thin shape memory alloy wire
Noise-boosted recurrent backpropagation
W-NetPan: Double-U network for inter-sensor self-supervised pan-sharpening
A novel joint dictionary framework for sparse hyperspectral unmixing incorporating spectral library
Identification of Hamiltonian systems using neural networks and first integrals approaches
Review of classical dimensionality reduction and sample selection methods for large-scale data processing
FogAdapt: Self-supervised domain adaptation for semantic segmentation of foggy images
Multi-dimensional classification via a metric approach
Modeling temporal response characteristics of V1 neurons with a dynamic normalization model
Dynamical behaviors of Cohen-Grossberg neural networks with mixed time delays and discontinuous activations
Curricular-balanced long-tailed learning
Turning behavior in lamprey in response to descending unilateral commands: Experiments and modeling
Consensus of fractional-order multi-agent systems with linear models via observer-type protocol
Multi-objective optimization method for thresholds learning and neighborhood computing in a neighborhood based decision-theoretic rough set model
Middle modality interactive feature attention learning for visible-infrared person re-identification
An Invitation to Cognitive Science. Second edition. Methods, Models and Conceptual Issues. D. Scarborough and S. Sternberg (Eds.); MIT Press, Cambridge, 1998, pp 950, ISBN 0-262-65046-0
Recurrent convolutional video captioning with global and local attention
3D object retrieval based on a graph model descriptor
MsVFE and V-SIAM: Attention-based multi-scale feature interaction and fusion for outdoor LiDAR semantic segmentation
Stochastic synchronization for an array of hybrid neural networks with random coupling strengths and unbounded distributed delays
A region-based video de-noising algorithm based on temporal and spatial correlations
Multi-level nested pyramid network for mass segmentation in mammograms
Spatial query based virtual reality GIS analysis platform
Dictionary learning enhancement framework: Learning a non-linear mapping model to enhance discriminative dictionary learning methods
Event-triggered adaptive fixed-time NN control for constrained nonstrict-feedback nonlinear systems with prescribed performance
KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning
MIMTracking: Masked image modeling enhanced vision transformer for visual object tracking
"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training
Heterogeneous-branch integration framework: Introducing first-order predicate logic in Logical Reasoning Question Answering
Command filtered-based neuro-adaptive robust finite-time trajectory tracking control of autonomous underwater vehicles under stochastic perturbations
Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers
Combining local and global hypotheses in deep neural network for multi-label image classification
L-plotting - A method for visual analysis of physiological experimental and modeling multi-component data
Focus DETR: Focus detection transformer for ship wall-climbing robot real-time object detection
Analysis of tabular data based on graph neural network using supervised contrastive loss
More focus on what you care about: Personalized top reviews set
H∞ state estimation for multiplex networks with randomly packet loss and sensor saturations
Bipartite leader-following synchronization of delayed incommensurate fractional-order memristor-based neural networks under signed digraph via adaptive strategy
Global and Diverse Ensemble model for regression
Fine tuning attribute weighted naive Bayes
An experimental evaluation of novelty detection methods
Producing evidence for the hypotheses of large neural networks
Blind source separation using Renyi's -marginal entropies
A DSC method for strict-feedback nonlinear systems with possibly unbounded control gain functions
Cascaded geometric feature modulation network for point cloud processing
Local quality assessment of point clouds for indoor mobile mapping
Embryo-Net: A blastocyst image segmentation network based on spatial modeling to resolve the challenge of textural similarity between the TE and ICM
Dimension reduction using collaborative representation reconstruction based projections
Lower bounds for approximation by MLP neural networks
Improving the Fuzzy Min-Max neural network performance with an ensemble of clustering trees
The estimate for approximation error of neural networks: A constructive approach
A non-specialized ensemble classifier using multi-objective optimization
Global exponential stability of high-order bidirectional associative memory (BAM) neural networks with time delays in leakage terms
Auditing privacy budget of differentially private neural network models
Theoretical foundations of forward feature selection methods based on mutual information
Collision avoidance in UAV swarms: A learning-centric perspective on collaborative intelligence
Artificial neural network for reactive power optimization
Building information systems based on neural networks
A single-layer perceptron with PROMETHEE methods using novel preference indices
nTreeClus: A tree-based sequence encoder for clustering categorical series
A distance correlation-based approach to characterize the effectiveness of recurrent neural networks for time series forecasting
Deep learning for visual understanding: A review
Machine learning based decision support for many-objective optimization problems
Supervised Domain Adaptation by transferring both the parameter set and its gradient
Personalized prediction of genes with tumor-causing somatic mutations based on multi-modal deep Boltzmann machine
Cross-covariance regularized autoencoders for nonredundant sparse feature representation
A novel set-membership estimation approach for preserving security in networked control systems under deception attacks
SIMBRAIN: A nonidealities-aware simulation framework for spiking neural networks based on memristor crossbars
Electrical activity and synchronization of memristor synapse-coupled HR network based on energy method
What you see is what you can change: Human-centered machine learning by interactive visualization
Block principal component analysis for tensor objects with frequency or time information
Pylon grid: A fast method for human head detection in range images
A review of representation and application scenarios of multi-modal knowledge graphs in the context of large language models
Cascade BPN based transmission line overload prediction and preventive action by generation rescheduling
Research of multi-sided multi-granular neural network ensemble optimization method
Effect of leakage delay on finite time boundedness of impulsive high-order neutral delay generalized neural networks
Character-level neural network model based on Nadam optimization and its application in clinical concept extraction
NeuGen: A tool for the generation of realistic morphology of cortical neurons and neural networks in 3D
Finite-time adaptive neural network event-triggered output feedback control for PMSMs
Sample-based adaptive Kalman filtering for accurate camera pose tracking
MFF-Net: A multi-view feature fusion network for generalized forgery image detection
Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering
Adaptive Attention-Aware Network for unsupervised person re-identification
Novel results on dissipativity analysis for generalized delayed neural networks
Dual-branch normalizing flow for anomaly detection and localization from images
Hybrid graph structure learning for improving semantic dependency parsing with robust graph neural networks
On the purity of training and testing data for learning: The case of pedestrian detection
Relevance feedback based online learning model for resource bottleneck prediction in cloud servers
Testing correct model specification using extreme learning machines
Evaluation of memristor performance in neural networks using an AHaH framework
An empirical study of two typical locality preserving linear discriminant analysis methods
A Review-based Feature-level Information Aggregation Model for Graph Collaborative Filtering
Partial information optimal control of mean-field forward-backward stochastic system driven by Teugels martingales with applications
Cooperative hybrid evolutionary algorithm for large scale multi-stage multi-product batch plants scheduling problem
Decentralized neighboring information fusion for traffic network signal control
TEAN: Timeliness enhanced attention network for session-based recommendation
Boosted Near-miss Under-sampling on SVM ensembles for concept detection in large-scale imbalanced datasets
An efficient fine-grained vehicle recognition method based on part-level feature optimization
A fast face detection method via convolutional neural network
Deep reservoir computing: A critical experimental analysis
Stochastic synchronization in an array of neural networks with hybrid nonlinear coupling
DMANet: Dual-branch multiscale attention network for real-time semantic segmentation
URCA-GAN: UpSample Residual Channel-wise Attention Generative Adversarial Network for image-to-image translation
DSVTN-ASD: Detection of Stereotypical Behaviors in Individuals with Autism Spectrum Disorder using a Dual Self-Supervised Video Transformer Network
Image quantization as a dimensionality reduction procedure in color and texture feature extraction
Classifying tree structures using elastic matching of sequence encodings
Cooperative information control for self-organizing maps
System identification of a biochemical process using feed-forward neural networks
Learning heterogeneous information network embeddings via relational triplet network
Research on emotional semantic retrieval of attention mechanism oriented to audio-visual synesthesia
A time-frequency channel attention and vectorization network for automatic depression level prediction
Mean-square analysis of the gradient projection sparse recovery algorithm based on non-uniform norm
Self-organization and segmentation in a laterally connected orientation map of spiking neurons
Finite-time/fixed-time distributed optimization for nonlinear multi-agent systems with time-varying cost function
MulSimNet: A multi-branch sub-interest matching network for personalized recommendation
An unsupervised domain adaptation model based on dual-module adversarial training
MetricMask: Single category instance segmentation by metric learning
Cloud-assisted collaborative inference of convolutional neural networks for vision tasks on resource-constrained devices
A unified structure learning framework for graph attention networks
Local graph regularized sparse reconstruction for salient object detection
A review of parameter estimators and controllers for induction motors based on artificial neural networks
Bandpass properties of integrate-fire neurons
Overview of knowledge reasoning for knowledge graph
Unsupervised feature selection for visual classification via feature-representation property
Object and background disentanglement for unsupervised cross-domain person re-identification
Over-squashing in Graph Neural Networks: A comprehensive survey
Optimizing extreme learning machines via ridge regression and batch intrinsic plasticity
Synchronization enhances synaptic efficacy through spike timing-dependent plasticity in the olfactory system
Modeling inter-modal incongruous sentiment expressions for multi-modal sarcasm detection
Exponential stability of uncertain stochastic fuzzy BAM neural networks with time-varying delays
Recurrent probabilistic dynamics: Applications to face recognition
Learning methodologies for wireless big data networks: A Markovian game-theoretic perspective
Robot skill acquisition in assembly process using deep reinforcement learning
Learning rates for multi-task regularization networks
Applying multi-label techniques in emotion identification of short texts
An efficient algorithm for parallel distributed unsupervised learning
Exploring GABAergic and dopaminergic effects in a minimal model of a medium spiny projection neuron
An energy model approach to people counting for abnormal crowd behavior detection
Camera-aware representation learning for person re-identification
Robust one-class classification using deep kernel spectral regression
Symmetric nonnegative matrix factorization: A systematic review
ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment
A sequence to sequence model for dialogue generation with gated mixture of topics
A L-MCRS dynamics approximation by ELM for Reinforcement Learning
Erratum to: 'Geometrical learning, descriptive geometry, and biomimetic pattern recognition' by S. Wang and J. Lai [Neurocomputing 67 (2005) 9-28]
Sparse pseudoinverse incremental extreme learning machine
Speeding up the training process of the MFNN by optimizing the hidden layers' outputs
Feature extraction using maximum nonparametric margin projection
Fixed-final-time optimal tracking control of input-affine nonlinear systems
Multi-step prediction of photovoltaic power based on two-stage decomposition and BILSTM
Sentence guided object color change by adversarial learning
Unveiling community structures in static networks through graph variational Bayes with evolution information
Multi-view clustering with tensor-aligned dynamic anchor graphs
Special issue on multi-objective reinforcement learning
Intelligible graph contrastive learning with attention-aware for recommendation
Global asymptotic stability analysis of two-time-scale competitive neural networks with time-varying delays
A GreyART system for grey information processing
Gallery-sensitive single sample face recognition based on domain adaptation
Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors
Joint components based pedestrian detection in crowded scenes using extended feature descriptors
Learnable product quantization for anomaly detection
Leader-follower output consensus of multiagent systems over finite fields
Mixture control chart patterns recognition using independent component analysis and support vector machine
A review of coverless steganography
Dynamic obstacle avoidance for car-like mobile robots based on neurodynamic optimization with control barrier functions
Corrigendum to "How many clusters? A robust PSO-based local density model" [Neurocomputing 207 (2016) 264-275]
Finite-time contractive stability for fractional-order nonlinear systems with delayed impulses: Applications to neural networks
The distributed system for inverted multi-index visual retrieval
Blind image deblurring using both L0 and L1 regularization of Max-min prior
AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images
Breast cancer discriminant feature analysis for diagnosis via jointly sparse learning
Kernel clustering with automatic variable weighting for interval data
Deep multi-view clustering based on sample-level adaptive fusion and clustering structure aggregation
Adaptive deep dynamic programming for integrated frequency control of multi-area multi-microgrid systems
Single-scale siamese network based RGB-D object tracking with adaptive bounding boxes
Multiple-shot person re-identification via fair set-collaboration metric learning
Genetic algorithm optimized double-reservoir echo state network for multi-regime time series prediction
Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning
Formal verification of robustness and resilience of learning-enabled state estimation systems
Riemannian competitive learning for symmetric positive definite matrices clustering
EdgeShare: A blockchain-based edge data-sharing framework for Industrial Internet of Things
Unsupervised neural networks for the identification of minimum overcomplete basis in visual data
Fewer interpretable bands via self-supervision for hyperspectral anomaly detection
Multifactor sparse feature extraction using Convolutive Nonnegative Tucker Decomposition
Deep hybrid dilated residual networks for hyperspectral image classification
Generalization bounds for pairwise learning with the Huber loss
Comparison of a genetic algorithm and simulated annealing for automatic neural network ensemble development
Primary afferent electrosensory neurons represent paddlefish natural prey
Neuronal mechanisms for hierarchical encoding in inferior-temporal cortex
Delay learning architectures for memory and classification
A versatile sparse representation based post-processing method for improving image super-resolution
A block-based model for monitoring of human activity
Active inference tree search in large POMDPs
Reduced complexity RBF classifiers with support vector centres and dynamic decay adjustment
Dropout regularization in hierarchical mixture of experts
Brain tumor segmentation of multi-modality MR images via triple intersecting U-Nets
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features
Adaptive dynamic programming based event-triggered control for unknown continuous-time nonlinear systems with input constraints
Unsupervised pixel-wise classification for Chaetoceros image segmentation
Deep multi-level networks with multi-task learning for saliency detection
An End-to-End Multi-Level Wavelet Convolutional Neural Networks for heart diseases diagnosis
TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs
Global asymptotic stability analysis of bidirectional associative memory neural networks with constant time delays
Dimensionality reduction for histogram features: A distance-adaptive approach
Label-text bi-attention capsule networks model for multi-label text classification
Discrete-time hypersonic flight control based on extreme learning machine
Selective attention implemented with dynamic synapses and integrate-and-fire neurons
Fixed point and p -stability of T-S fuzzy impulsive reaction-diffusion dynamic neural networks with distributed delay via Laplacian semigroup
Improving performance of neural classifiers via selective reduction of target levels
Spectral regression based marginal Fisher analysis dimensionality reduction algorithm
Decentralized adaptive coupling synchronization of fractional-order complex-variable dynamical networks
Efficient asynchronous federated neuromorphic learning of spiking neural networks
CrossSeg-GvT: multi-view graph vision transformers with context-aware memory and meta prompting for cross-domain few-shot semantic segmentation
A data-driven degradation prognostic strategy for aero-engine under various operational conditions
Neural-network estimators based fault-tolerant tracking control for AUV via ADP with rudders faults and ocean current disturbance
DJIST: Decoupled joint image and sequence training framework for sequential visual place recognition
Region-based saliency estimation for 3D shape analysis and understanding
Asymmetric multi-stage CNNs for small-scale pedestrian detection
Emission stations location selection based on conditional measurement GAN data
Visualizing and characterizing DNS lookup behaviors via log-mining
Regularization learning, early stopping and biased estimator
Delay-dependent exponential stability analysis for discrete-time switched neural networks with time-varying delay
ECMEE: Expert Constrained Multi-Expert Ensembles with Category Entropy Minimization for Long-tailed Visual Recognition
Multiple kernel extreme learning machine
A novel device placement approach based on position-aware subgraph neural networks
A contour-aware feature-merged network for liver segmentation based on shape prior knowledge
Blind source separation of more sources than mixtures using generalized exponential mixture models
In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study
Sparse metric-based mesh saliency
Local propagation of visual stimuli in focus of attention
Finite-time synchronization of coupled time-delayed neural networks with discontinuous activations
A semi-supervised learning approach for COVID-19 detection from chest CT scans
An item orientated recommendation algorithm from the multi-view perspective
PT-VAE: Variational autoencoder with prior concept transformation
Deep belief network with fuzzy parameters and its membership function sensitivity analysis
Persistent hidden states and nonlinear transformation for long short-term memory
Data, depth, and design: Learning reliable models for skin lesion analysis