yusuke1997/dblp-id-title huggingface dataset:
A general framework to estimate spatial and spatio-spectral filters for EEG signal classification
Saliency detection via conditional adversarial image-to-image network
Towards bandwidth efficient edge-cloud collaborative deep learning with Data Importance driven Compression
Measuring the expressivity of graph kernels through Statistical Learning Theory
Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection
Utilizing motion segmentation for optimizing the temporal adjacency matrix in 3D human pose estimation
Finite-time synchronization of reaction-diffusion neural networks with time-varying parameters and discontinuous activations
A multi-scale kernel learning method and its application in image classification
Fuzzy logic nonzero-sum game-based distributed approximated optimal control of modular robot manipulators with human-robot collaboration
Double biologically inspired transform network for robust palmprint recognition
An improved multi-objective evolutionary algorithm based on environmental and history information
Lead curve detection in drawings with complex cross-points
Nonlinear embedding neural codes for visual instance retrieval
General multi-view learning with maximum entropy discrimination
Delay-difference-dependent robust exponential stability for uncertain stochastic neural networks with multiple delays
Tuning N-ary relation extraction as Machine Reading Comprehension
A comprehensive survey for generative data augmentation
Self organizing maps in corporate finance: Quantitative and qualitative analysis of debt and leasing
Exponential stability of stochastic higher-order BAM neural networks with reaction-diffusion terms and mixed time-varying delays
Boundedness and exponential stability for nonautonomous FCNNs with distributed delays and reaction-diffusion terms
Dymods: A framework for modularizing dynamical neuronal structures
A new decision rule for sparse representation based classification for face recognition
Dynamic adaptive learning algorithm based on two-fuzzy neural-networks
Modified BiLSTM network for interval prediction based on Aerospace Load System
Sequential online prediction in the presence of outliers and change points: An instant temporal structure learning approach
Dynamical performance analysis of communication-embedded neural networks: A survey
Adaptable volumetric liver segmentation model for CT images using region-based features and convolutional neural network
Least-squares temporal difference learning based on an extreme learning machine
Statistical model for simulation of deformable elastic endometrial tissue shapes
Robust stability of uncertain stochastic fuzzy cellular neural networks
Fuzzy inference neural network
An adversarial contrastive learning based cross-modality zero-watermarking scheme for DIBR 3D video copyright protection
Unsupervised domain-adaptive object detection: An efficient method based on UDA-DETR
Jointly detecting and multiple people tracking by semantic and scene information
Finding neural codes using random projections
An LQR controller in the obstacle avoidance of a two-wires hammerhead crane
Learning rates of support vector machine classifier for density level detection
Federated learning data protection scheme based on personalized differential privacy in psychological evaluation
ADEMO/D: Multiobjective optimization by an adaptive differential evolution algorithm
Matrix-valued twin-multistate Hopfield neural networks
Adversarial erasure network based on multi-instance learning for weakly supervised video anomaly detection
Hybrid dual-tree complex wavelet transform and support vector machine for digital multi-focus image fusion
Spike-timing-dependent plasticity in small-world networks
A heuristic branch-and-bound based thresholding algorithm for unveiling cognitive activity from EEG data
Efficient hybrid linear self-attention based visual object tracking with LoRA
Reservoir computing for emotion valence discrimination from EEG signals
MI-ELM: Highly efficient multi-instance learning based on hierarchical extreme learning machine
Multi-target tracking method based on improved firefly algorithm optimized particle filter
Self-organising criticality in the simulated models of the rat cortical microcircuits
Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network
Neuropod: A real-time neuromorphic spiking CPG applied to robotics
Analytically tractable heteroscedastic uncertainty quantification in Bayesian neural networks for regression tasks
Federated training of GNNs with similarity graph reasoning for text-image retrieval
YOLO-FAS: A lightweight model for detecting rebar intersections location and tying status
LiDAR-based detection, tracking, and property estimation: A contemporary review
Adversarial training via multi-guidance and historical memory enhancement
Efficient parallel implementation of kernel methods
High dimensional mislabeled learning
ADGAT: Anomaly detection-based graph adversarial defense framework
Dynamic performance of foil bearings with a quadratic stiffness model
Speech polarity determination: A comparative evaluation
Action recognition using direction-dependent feature pairs and non-negative low rank sparse model
Noise covariance estimation for networked linear systems under random access protocol scheduling
Properties and learning algorithms for faulty RBF networks with coexistence of weight and node failures
Robust visual tracking via scale-and-state-awareness
Intuitive volume exploration through spherical self-organizing map and color harmonization
Using genetic algorithms to create solutions for conflict resolution
Data-driven adaptive extended state observer design for autonomous surface vehicles with unknown input gains based on concurrent learning
A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications
Robust texture analysis of multi-modal images using Local Structure Preserving Ranklet and multi-task learning for breast tumor diagnosis
Exponential discriminative metric embedding in deep learning
Novel and improved stage estimation in Parkinson's disease using clinical scales and machine learning
Improving multimodal named entity recognition via text-image relevance prediction with large language models
Automatic detection of Alzheimer's disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers
End-to-end learning for simultaneously generating decision map and multi-focus image fusion result
Interactive evolutionary optimization of fuzzy cognitive maps
A CORDIC based real-time implementation and analysis of a respiratory central pattern generator
Manifold biomedical text sentence embedding
Corrigendum to "BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units" [Neurocomputing 51 (2003) 277-301]
Entrainment, Arnold tongues, and duality in a periodically driven integrate-and-fire model
Detecting severity of Diabetic Retinopathy from fundus images: A transformer network-based review
Label prediction based constrained non-negative matrix factorization for semi-supervised multi-view classification
Robust kernels for robust location estimation
A fast method of feature extraction for kernel MSE
Hierarchical graph attention network for temporal knowledge graph reasoning
Real-time panoptic segmentation with relationship between adjacent pixels and boundary prediction
Analysis of classification margin for classification accuracy with applications
Object-aware navigation for remote embodied visual referring expression
Exploiting reliable pseudo-labels for unsupervised domain adaptive person re-identification
New approach for learning structured graph with Laplacian rank constraint
Learning picture quality from visual distraction: Psychophysical studies and computational models
An analysis of data distribution in the ClassAge system: An agent-based system for classification tasks
Passivity-based stabilization and passive synchronization of complex nonlinear networks
Hybrid extreme learning machine approach for heterogeneous neural networks
Temporally extended features in model-based reinforcement learning with partial observability
Quantifying olfactory perception: mapping olfactory perception space by using multidimensional scaling and self-organizing maps
Projection vector machine
Forward kinematics solution of Stewart platform using neural networks
A new robust stability criterion for dynamical neural networks with multiple time delays
DeftectNet: Joint loss structured deep adversarial network for thermography defect detecting system
An enhanced trust prediction strategy for online social networks using probabilistic reputation features
Slowly-inactivating potassium conductances in compartmental interneuron models
On relevance feedback and similarity measure for image retrieval with synergetic neural nets
Enhanced residual noise estimation of low rank approximation for image denoising
A novel sparse-representation-based multi-focus image fusion approach
Deep neural networks regularization for structured output prediction
Distribution equalization learning mechanism for road crack detection
Attention-guided bidirectional memory autoencoder for video anomaly detection
Generative adversarial learning for detail-preserving face sketch synthesis
Spike train analysis in a digital neuromorphic system of cutaneous mechanoreceptor
Gaussian processes for canonical correlation analysis
HyV-Summ: Social media video summarization on custom dataset using hybrid techniques
New robust stability analysis for genetic regulatory networks with random discrete delays and distributed delays
Causal learning with uncertainty-aware transformer for vision-and-language navigation
Optimization techniques for improving power quality data mining using wavelet packet based support vector machine
Combining eye tracking and pupillary dilation analysis to identify Website Key Objects
Adaptive context- and scale-aware aggregation with feature alignment for one-shot object detection
Combining metaheuristic search and simulation to deal with capacitated aisles in facility layout
Contusion and recovery of individual cognition based on catastrophe theory: A computational model
Multimodality semantic segmentation based on polarization and color images
GCB-Diff: Global context-aware and boundary-aware feature fusion based on diffusion model for medical image segmentation
Flood simulation using parallel genetic algorithm integrated wavelet neural networks
Exploring privileged information from simple actions for complex action recognition
Non destructive detection of Zea mays' critical periods: A parameter identification based approach
MHAVSR: A multi-layer hybrid alignment network for video super-resolution
A sparse autoencoder compressed sensing method for acquiring the pressure array information of clothing
Finite-time H ∞ control for one-sided Lipschitz systems with auxiliary matrices
Efficient Lasso training from a geometrical perspective
Neural network indirect adaptive control with fast learning algorithm
GSRDR-GAN: Global search result diversification ranking approach based on multi-head self-attention and GAN
Abdominal adipose tissues extraction using multi-scale deep neural network
Deep learning methods for early detection of Alzheimer's disease using structural MR images: a survey
Self-supervised utterance order prediction for emotion recognition in conversations
Adaptive multi-teacher multi-level knowledge distillation
On the multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: An automated anti-pornography system
Towards zero-shot learning generalization via a cosine distance loss
A general memristor-based pulse coupled neural network with variable linking coefficient for multi-focus image fusion
WDWorm: A runtime-efficient and user-friendly GUI-based toolbox for experimenting with the nerve net of C. elegans
3D models retrieval algorithm based on multimodal data
A Lie group Laplacian Support Vector Machine for semi-supervised learning
Impulsive consensus of multi-agent nonlinear systems with control gain error
Photo 4W: Mobile photo management on what, where, who and when
Detection of heart murmurs based on radial wavelet neural network with Kalman learning
Finite-time state estimation for delayed Hopfield neural networks with Markovian jump
An LSH-based k-representatives clustering method for large categorical data
Combining edge difference with nonlocal self-similarity constraints for single image super-resolution
MT-CDGAT: A multi-label diagnosis model for untrained planetary gearbox compound faults based on multi-task cross dynamic graph attention networks
A fuzzy neural network with fuzzy impact grades
A parallel growing architecture for self-organizing maps with unsupervised learning
Graph convolutional network with multiple weight mechanisms for aspect-based sentiment analysis
Mining spatiotemporal video patterns towards robust action retrieval
Brain response to Information Structure misalignments in linguistic contexts
Distributed Nash equilibrium seeking for multi-coalition games with constrained NASVs: A hierarchical prescribed-performance algorithm
ASTR: Transformer-based Alert-to-Stage Translator for multi-stage attack detection
Unsupervised feature selection guided by orthogonal representation of feature space
Refining Gaussian mixture model based on enhanced manifold learning
Latent Dirichlet mixture model
Agreement-based fuzzy C-means for clustering data with blocks of features
A user-based aggregation topic model for understanding user's preference and intention in social network
Complexity reduction in radial basis function (RBF) networks by using radial B-spline functions
Soft ranking in clustering
Vessel traffic flow forecasting by RSVR with chaotic cloud simulated annealing genetic algorithm and KPCA
StrongerCenter: Enhancing TransCenter for robust multi-object tracking
Numerical optimization of a sum-of-rank-1 decomposition for n-dimensional order-p symmetric tensors
Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems
Experimental evaluation of performance improvements in abductive network classifiers with problem decomposition
Dynamics of human sleep EEG
Deep attention sampling hashing for efficient image retrieval
Adaptive trajectory tracking control for quadrotors with disturbances by using generalized regression neural networks
PalmHash Code vs. PalmPhasor Code
An integrated optimisation algorithm for feature extraction, dictionary learning and classification
High-resolution time-frequency analysis of EEG signals using multiscale radial basis functions
Covariance intersection based event-triggered distributed state estimation under channel independent DoS attacks
Bounded Z-type neurodynamics with limited-time convergence and noise tolerance for calculating time-dependent Lyapunov equation
Low-rank constraint bipartite graph learning
Feature representation fidelity preservation during neural network pruning for enhanced compression efficiency
Structure detection and segmentation of documents using 2D stochastic context-free grammars
A robust ensemble approach to learn from positive and unlabeled data using SVM base models
Exploring and mitigating fawning hallucinations in large language models
A new embedding quality assessment method for manifold learning
Comparison of generalization ability on solving differential equations using backpropagation and reformulated radial basis function networks
GPU-based real-time terrain rendering: Design and implementation
Meta hyperbolic networks for zero-shot learning
Robust H ∞ control for uncertain delayed nonlinear systems based on standard neural network models
End-to-end 3D object model retrieval by projecting the point cloud onto a unique discriminating 2D view
Dynamic texture video classification using extreme learning machine
SHoTGCN: Spatial high-order temporal GCN for skeleton-based action recognition
Representing episodic memory in a system-level model of the brain
Binary code learning via optimal class representations
Exploring inter- and intra-modal relations in compositional zero-shot learning
An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization
NeuroSpaces: separating modeling and simulation
Exponential stability of stochastic neural networks with leakage delays and expectations in the coefficients
HAL: Hybrid active learning for efficient labeling in medical domain
Syntax-enhanced aspect-based sentiment analysis with multi-layer attention
Visual search light model for mental problem solving
Group sparse reconstruction for image segmentation
Simion Zoo: A training workbench for reinforcement learning allowing distributed experimentation
Elegans-AI: How the connectome of a living organism could model artificial neural networks
Quaternion reservoir computing for spatiotemporal analysis in polarimetric synthetic aperture radar
Ice hockey puck tracking through broadcast video
Fixed-time privacy-preserving synchronization and energy consumption prediction for stochastic neural networks
Power-law scaling in human EEG: relation to Fourier power spectrum
Almost sure synchronization criteria of neutral-type neural networks with Lévy noise and sampled-data loss via event-triggered control
Image color harmony modeling through neighbored co-occurrence colors
A review of recent advances in spatially resolved transcriptomics data analysis
Debate divides: Argument relation-based contrastive opinion summarization via multi-task learning for online discussions
Multi-label webpage text classification based on feature segmentation and attention mechanism
Feature selection with scalable variational gaussian process via sensitivity analysis based on L2 divergence
Models of hierarchical respiratory neuron networks
A robust segmentation of retinal fluids from OCT images using MCFAR-net
Multi-label learning based on label-specific features and local pairwise label correlation
Multi-exposure high dynamic range imaging with informative content enhanced network
Switches of oscillations in coupled networks with multiple time delays
Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems
Comments on "On the design of feedforward neural networks for binary mapping [1]"
Emotion-sensitive deep dyna-Q learning for task-completion dialogue policy learning
Static and adaptive subspace information fusion for indefinite heterogeneous proximity data
Enhancing random forest classification with NLP in DAMEH: A system for DAta Management in eHealth Domain
Classification-based de-mosaicing for digital cameras
Incremental threshold learning for classifier selection
Robust finite-time state estimation for uncertain discrete-time Markovian jump neural networks with two delay components
DTMMN: Deep transfer multi-metric network for RGB-D action recognition
Active one-shot learning by a deep Q-network strategy
Adaptive neural dynamic surface control of MIMO uncertain nonlinear systems with time-varying full state constraints and disturbances
Robust iterative closest point algorithm with bounded rotation angle for 2D registration
Optimizing echo state network through a novel fisher maximization based stochastic gradient descent
Multiple asymptotic stability of fractional-order quaternion-valued neural networks with time-varying delays
Identification of resonance states of rotor-bearing system using RQA and optimal binary tree SVM
Viewpoint-Based Collaborative Feature-Weighted Multi-View Intuitionistic Fuzzy Clustering Using Neighborhood Information
Locally linear embedding based on correntropy measure for visualization and classification
Variational quantum extreme learning machine
In-situ learning in multilayer locally-connected memristive spiking neural network
Recent advances of single-object tracking methods: A brief survey
A generalized updating rule for modified Hopfield neural network for quadratic optimization
Fixed-time fault-tolerant consensus control for multi-agent systems with mismatched disturbances
A reinforcement learning approach for optimized MRI sampling with region-specific fidelity
Synchronization-based passivity of partially coupled neural networks with event-triggered communication
Effective feature selection scheme using mutual information
Continual few-shot relation extraction via multi-task balanced dual-branch network
Delay-partitioning-based reachable set estimation of Markovian jump neural networks with time-varying delay
A resampling ensemble algorithm for classification of imbalance problems
Blind deconvolution by simple adaptive activation function neuron
Improving the detection of robot anomalies by handling data irregularities
Two stages prompting for few-shot multi-intent detection
Enhancing text representations separately with entity descriptions
Towards real-time object detection in GigaPixel-level video
Flatterland. Like Flatland. Only More So.: I. Stewart; Perseus Publishing Cambridge, MA, 2001, pp 301, ISBN 0-7382-0442-0
Evolving parametric aircraft models for design exploration and optimisation
Delay-dependent stability for neutral-type neural networks with time-varying delays and Markovian jumping parameters
An imbalanced binary classification method based on contrastive learning using multi-label confidence comparisons within sample-neighbors pair
Anomalous sound detection using sound image and CTF-bilateral filter
Exceptional Object Analysis for Finding Rare Environmental Events from water quality datasets
Dynamical analysis of Cohen-Grossberg neural networks with time-delays and impulses
Adaptive algorithms for computing the principal Takagi vector of a complex symmetric matrix
Noise modeling and representation based classification methods for face recognition
A parameterized direct LDA and its application to face recognition
Implementation of adaptive neuron based on memristor and memcapacitor emulators
View-independent face recognition with Mixture of Experts
Complex nonlinear dynamics in fractional and integer order memristor-based systems
Annular Sector Model for tracking multiple indistinguishable and deformable objects in occlusions
Firefly algorithm and learning-based geographical task scheduling for operational cost minimization in distributed green data centers
Bilinear joint learning of word and entity embeddings for Entity Linking
Domain-adaptive modules for stereo matching network
Model-data-driven image reconstruction with neural networks for ultrasound computed tomography breast imaging
Enhancing intraday stock price manipulation detection by leveraging recurrent neural networks with ensemble learning
Adaptive multi-view selection for semi-supervised emotion recognition of posts in online student community
Deep learning applications on cybersecurity: A practical approach
Adaptive event-based fixed-time tracking design for strict-feedback nonlinear systems with unknown control coefficients
Model-based fault diagnosis methods for systems with stochastic process - A survey
Spam filtering for short messages in adversarial environment
Multi-label learning with prior knowledge for facial expression analysis
Tensor neural networks via circulant convolution
Testing the three-dimensional reference frame transformation for express and memory-guided saccades
Incorporating fuzzy concepts along with dynamic tunneling for fast and robust training of multilayer perceptrons
A novelty detection machine and its application to bank failure prediction
Face and palmprint feature level fusion for single sample biometrics recognition
Gait identification by means of box approximation geometry of reconstructed attractors in latent space
A hybrid quantum-inspired neural networks with sequence inputs
Adaptive hypergraph structure regularized semi-supervised non-negative matrix factorization for image clustering
An extension of the type-1 and singleton fuzzy logic system trained by scaled conjugate gradient methods for multiclass classification problems
LBP maps for improving fractal based texture classification
Robust delay-distribution-dependent stability of discrete-time stochastic neural networks with time-varying delay