yusuke1997/dblp-id-title huggingface dataset:
Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples to improve classification performance
Enhancing few-shot segmentation via mask combination learning
Mathematical modeling for precise disease diagnosis: Distance and similarity measures in complex neutrosophic soft structures
The neuronal empiricism hypothesis: Cerebral cortex is an unsupervised knowledge-seeking neural network
Grassroots VS elites: Which ones are better candidates for influence maximization in social networks?
An intelligent clustering algorithm for high-dimensional multiview data in big data applications
A class of improved fractional physics informed neural networks
FLRNet: A bio-inspired three-stage network for Camouflaged Object Detection via filtering, localization and refinement
An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networks
CSCIM_FS: Cosine similarity coefficient and information measurement criterion-based feature selection method for high-dimensional data
A dynamic neural network approach for solving nonlinear inequalities defined on a graph and its application to distributed, routing-free, range-free localization of WSNs
A survey of the recent trends in deep learning for literature based discovery in the biomedical domain
Nearly optimal stabilization of unknown continuous-time nonlinear systems: A new parallel control approach
Optimal DG penetration rate planning based on S-OPF in active distribution network
Globality and locality incorporation in distance metric learning
Recognition of facial sketch styles
Delayed distributed impulsive synchronization of coupled neural networks with mixed couplings
Max-Min Robust Principal Component Analysis
Neocognitron for handwritten digit recognition
LAA: Local Awareness Attention for point cloud self-supervised representation learning
Source distribution models for blind source separation
The oscillatory dynamic link matcher for spiking-neuron-based pattern recognition
Extreme learning machine based genetic algorithm and its application in power system economic dispatch
Active dropblock: Method to enhance deep model accuracy and robustness
CCPrune: Collaborative channel pruning for learning compact convolutional networks
Adaptive Correlation Integration for Deep Image Clustering
Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation
Weighted extreme learning machine for imbalance learning
Instruct Pix-to-3D: Instructional 3D object generation from a single image
Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation
Adaptive neural control for a class of pure-feedback nonlinear time-delay systems with asymmetric saturation actuators
Adaptive predefined-time consensus for nonlinear multi-agent systems with input delay and performance constraints
Stimulus encoding during the early stages of olfactory processing: A modeling study using an artificial olfactory system
Groundwater level prediction using machine learning models: A comprehensive review
Supervised adaptive similarity consistent latent representation hashing
Adaptive binary tree for fast SVM multiclass classification
Secure data exchange in Industrial Internet of Things
Mean-square bipartite consensus control for discrete-time multi-agent systems under cooperation-competition networks: A source binary encoding-decoding scheme
Fast evaluation of neural networks via confidence rating
Deformable symmetry attention for nuclear medicine image segmentation
Joint Bayesian guided metric learning for end-to-end face verification
No-reference quality assessment of deblocked images
An interpretable neural fuzzy inference system for predictions of underpricing in initial public offerings
TalkingAvatar: Learning 3D talking human avatar via NeRF
COTA-motion: Controllable image-to-video synthesis with dense semantic trajectories
MPRANet: Multi-scale perception and reference attention network for lightweight SAR target recognition
UniSORT: Tracking with unified cue integration and refined association
A robust least squares support vector machine for regression and classification with noise
SPA: Spatially Pooled Attributes for image retrieval
Computational model of topographic reorganization in somatosensory cortex in response to digit lesions
Model-free multiobjective approximate dynamic programming for discrete-time nonlinear systems with general performance index functions
Synchronization analysis of network systems applying sampled-data controller with time-delay via the Bessel-Legendre inequality
A temporally coded multilayer spiking neural network and its memristor-based hardware implementation
Hyperbolic graph representation learning: methods, applications and challenges - A survey
Self-ensemble for test time adaptation
Removing background interference for crowd counting via de-background detail convolutional network
Self-supervised network distillation: An effective approach to exploration in sparse reward environments
Event-set differential privacy for fine-grained data privacy protection
Applying category theory to improve the performance of a neural architecture
A kernel-based sparsity preserving method for semi-supervised classification
Robust formation tracking and collision avoidance for uncertain nonlinear multi-agent systems subjected to heterogeneous communication delays
Dissipativity and periodic attractor for non-autonomous neural networks with time-varying delays
Effects of Na + channel inactivation kinetics on metabolic energy costs of action potentials
LUAD: A lightweight unsupervised anomaly detection scheme for multivariate time series data
Mask guided two-stream network for end-to-end few-shot action recognition
Projection neural network for a class of sparse regression problems with cardinality penalty
The self-organizing map
Breaking the water dilemma: Transmission-guided bilevel adaptive learning for underwater imagery
Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function
A discrete invasive weed optimization algorithm for solving traveling salesman problem
Feature learning for stacked ELM via low-rank matrix factorization
Cognitive mapping and episodic memory emerge from simple associative learning rules
Unsupervised pre-trained filter learning approach for efficient convolution neural network
Anatomical structures detection using topological constraint knowledge in fetal ultrasound
Experimental modeling and evaluation of the afterglow phosphors using multiple single exponential equations
Is Mamba effective for time series forecasting?
Coexistence of synchronized "oscillatory" and desynchronized "rate" activity in cortical networks
A learning-based CT prostate segmentation method via joint transductive feature selection and regression
A sparse representation method of bimodal biometrics and palmprint recognition experiments
Fault detection for discrete-time Lipschitz nonlinear systems with signal-to-noise ratio constrained channels
Indoor object recognition in RGBD images with complex-valued neural networks for visually-impaired people
Combining machine learning models for the automatic detection of EEG arousals
ACORT: A compact object relation transformer for parameter efficient image captioning
E-nose system by using neural networks
Development and application of HDA-ABi-GRU-based on the interpersonal problems scale of personality disorders in acromegaly patients
Stochastic quantum neural networks for neuroinspired intelligence: Mathematical foundations, comparative benchmarks, and prospects
A biologically plausible model for the development of selective microcircuits in striate cortex
Temporal action detection with dynamic weights based on curriculum learning
A sequential learning method with Kalman filter and extreme learning machine for regression and time series forecasting
Residual spatial fusion network for RGB-thermal semantic segmentation
Spike count distributions, factorizability, and contextual effects in area V1
A recurrent neural network for optimal real-time price in smart grid
Network traffic classification via non-convex multi-task feature learning
An LMI approach to delay-dependent state estimation for delayed neural networks
Reconstructed similarity for faster GANs-based word translation to mitigate hubness
Conformal Feature-Selection Wrappers and ensembles for negative-transfer avoidance
TA-BiDet: Task-aligned binary object detector
Invertible Koopman network with external inputs: A novel data-driven modeling method for non-autonomous nonlinear systems with discrete spectrum
Weakly supervised video object segmentation initialized with referring expression
Finite-time Mittag-Leffler synchronization of fractional-order memristive BAM neural networks with time delays
Hybrid synchronization of the general delayed and non-delayed complex dynamical networks via pinning control
Gaussian kernel smooth regression with topology learning neural networks and Python implementation
Progressive Operational Perceptrons
Support Vector Machines for decision support in electricity markets' strategic bidding
Euler State Networks: Non-dissipative Reservoir Computing
Risk map generation for keyhole neurosurgery using fuzzy logic for trajectory evaluation
A novel semi-supervised learning for face recognition
High-order graph matching based on ant colony optimization
An accurate box localization method based on rotated-RPN with weighted edge attention for bin picking
Exponential stabilization of neural networks with time-varying delay by periodically intermittent control
Stability analysis for impulsive coupled systems on networks
HSAE: A Hessian regularized sparse auto-encoders
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels
Transductive distribution calibration for few-shot learning
Sparse filtering based domain adaptation for mechanical fault diagnosis
A novel image enhancement method using fuzzy Sure entropy
Adaptive RBFNNs/integral sliding mode control for a quadrotor aircraft
Resilient synchronization of interconnected dynamical networks with DoS attacks: An adaptive event-triggered control approach
The role of correlated firing and synchrony in coding information about single and separate objects in cat V1
Finite-time stability of solutions for non-instantaneous impulsive systems and application to neural networks
Robust visual tracking based on global-and-local search with confidence reliability estimation
Reinforcement Learning: An Introduction: R.S. Sutton, A.G. Barto, MIT Press, Cambridge, MA 1998, 322 pp. ISBN 0-262-19398-1
Affect-salient event sequence modelling for continuous speech emotion recognition
Multi-modal fusion network guided by prior knowledge for 3D CAD model recognition
Looking into the world on Google Maps with view direction estimated photos
MTCL: Multi-task consistency learning for semi-supervised 3D medical image segmentation
Multiplicative updates for non-negative projections
Analog VLSI and multi-layer perceptrons - Accuracy, noise and on-chip learning
JARViS: Detecting actions in video using unified actor-scene context relation modeling
EOOD: End-to-end oriented object detection
A novel features ranking metric with application to scalable visual and bioinformatics data classification
Group discriminative least square regression for multicategory classification
Ego-motion-compensated object recognition using type-2 fuzzy set for a moving robot
Complete local Fisher discriminant analysis with Laplacian score ranking for face recognition
Distributed weighted fusion estimation for uncertain networked systems with transmission time-delay and cross-correlated noises
HQ-Net: A heatmap-based query backbone for point cloud understanding
Unsupervised image co-segmentation via guidance of simple images
Solving long haul airline disruption problem caused by groundings using a distributed fixed-point computational approach to integer programming
Suicide attempters classification: Toward predictive models of suicidal behavior
F-ADMD: Fast anomaly detection via multi-scale guided denoising diffusion model
PAC-Bayes and domain adaptation
From neuron to behavior: Evidence from behavioral measurements
BAST-Mamba: Binaural Audio Spectrogram Mamba Transformer for binaural sound localization
Adaptive neural networks output feedback dynamic surface control design for MIMO pure-feedback nonlinear systems with hysteresis
Chinese-Tibetan bilingual clustering based on random walk
Deep historical long short-term memory network for action recognition
Combining protein secondary structure prediction models with ensemble methods of optimal complexity
Efficient motion feature aggregation for optical flow via locality-sensitive hashing
On the periodic dynamics of memristor-based neural networks with leakage and time-varying delays
Further analysis of weighted integral inequalities for improved exponential stability analysis of time delay neural networks systems
Entropy-aware self-training for graph convolutional networks
Automated measuring method based on Machine learning for optomotor response in mice
A P-ADMM for sparse quadratic kernel-free least squares semi-supervised support vector machine
Multitask centroid twin support vector machines
Fly visual system inspired artificial neural network for collision detection
ResKANNet: A residual Kolmogorov-Arnold network with multi-scale attention for brain tumor segmentation
Characterizing the fuzzy community structure in link graph via the likelihood optimization
TTFNeXt for real-time object detection
A progressive sampling method for object detection performance surface based on Gaussian process multi-kernel fusion
Multi-Objective Ranked Bandits for Recommender Systems
ABRobOcular: Adversarial benchmarking and robustness analysis of datasets and tools for ocular-based user recognition
DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation
Finite/fixed-time synchronization for Markovian complex-valued memristive neural networks with reaction-diffusion terms and its application
Improving GBDT performance on imbalanced datasets: An empirical study of class-balanced loss functions
CastDiffuser: Cascaded latent diffusion framework for high-resolution precipitation nowcasting via multi source fusion
PCFNet: Deep neural network with predefined convolutional filters
Simulating symbolic distance effects in the transitive inference problem
Bare-bones imperialist competitive algorithm for a compensatory neural fuzzy controller
Discrete-time future nonlinear neural optimization with equality constraint based on ten-instant ZTD formula
Active contour based optical character recognition for automated scene understanding
PointT2I: LLM-based text-to-image generation via keypoints
Towards densely clustered tiny pest detection in the wild environment
Symmetric actor-critic deep reinforcement learning for cascade quadrotor flight control
Graph cut based automatic aorta segmentation with an adaptive smoothness constraint in 3D abdominal CT images
A new hybrid optimizer for stochastic optimization acceleration of deep neural networks: Dynamical system perspective
SOSD-Net: Joint semantic object segmentation and depth estimation from monocular images
Detecting physical activity within lifelogs towards preventing obesity and aiding ambient assisted living
Explaining and interpreting hyperdimensional computing classifiers on tabular data
Neural activity pattern systems
CMCNet:Cross-directional morphology-aware convolution network for chest X-ray anatomy segmentation
Designing a neural network for forecasting financial and economic time series
Prior preference learning from experts: Designing a reward with active inference
A genetic algorithm for product disassembly sequence planning
Stability of the Caputo fractional-order inertial neural network with delay-dependent impulses
Discrete exponential Bayesian networks: Definition, learning and application for density estimation
Chinese text location under complex background using Gabor filter and SVM
Stabilization of metastable dynamical rotating waves in a ring of unidirectionally coupled nonmonotonic neurons
Art creator: Steering styles in diffusion model
On the exponential synchronization of stochastic jumping chaotic neural networks with mixed delays and sector-bounded non-linearities
Dynamic control of inhibition improves performance of a hippocampal model
Privacy-enhanced data distillation with probability distribution matching
HITS centrality based on inter-layer similarity for multilayer temporal networks
A reconfigurable bidirectional associative memory network with memristor bridge
Nonlinear ergodic epsilon-optimal discretized reward-penalty learning automata and their application to adaptive routing algorithms
Potential distribution adjustment and parametric surrogate gradient in spiking neural networks
Observer-based H ∞ fuzzy control for nonlinear stochastic systems with multiplicative noise and successive packet dropouts
Scalable and parameter-free fusion graph learning for multi-view clustering
Constrained fixation point based segmentation via deep neural network
Soft sensor based on eXtreme gradient boosting and bidirectional converted gates long short-term memory self-attention network
Few-shot SAR automatic target recognition based on Conv-BiLSTM prototypical network
Neural network control-based adaptive design for a class of DC motor systems with the full state constraints
Development of PI training algorithms for neuro-wavelet control on the synchronization of uncertain chaotic systems
ColorFormer: A novel colorization method based on a transformer
Feature integration analysis of bag-of-features model for image retrieval
Few-shot learning with distribution calibration for event-level rumor detection
Text similarity based on two independent channels: Siamese Convolutional Neural Networks and Siamese Recurrent Neural Networks
The regularized LVQ1 algorithm
An empirical evaluation of Gravitational Swarm Intelligence for graph coloring algorithm
Adversarial diffusion for few-shot scene adaptive video anomaly detection
Automatic layer selection for transfer learning and quantitative evaluation of layer effectiveness
Structured graph optimization for joint spectral embedding and clustering
Deep convolutional neural network architecture design as a bi-level optimization problem
Normalized discriminant analysis for dimensionality reduction
Optimal redundant transmission scheduling for remote state estimation via reinforcement learning approach
A comprehensive review of fuzzy logic based interpretability and explainability of machine learning techniques across domains
Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography
A novel framework for automatic generation of fuzzy neural networks
Synchrony and frequency regulation by synaptic delay in networks of self-inhibiting neurons
Weighted tensor-based consistent anchor graph learning for multi-view clustering
Analysis of complex bursting in cortical pyramidal neuron models
Compressive perceptual hashing tracking
Breaking Myths in LLM scaling and emergent abilities with a comprehensive statistical analysis
Neural computation for robust approximate pole assignment
Forecasting price movements using technical indicators: Investigating the impact of varying input window length
Vision-based anticipatory controller for the autonomous navigation of an UAV using artificial neural networks
An enhanced version and an incremental learning version of visual-attention-imitation convex hull algorithm
Structured feature for multi-label learning
Intensity normalization in the analysis of functional DaTSCAN SPECT images: The α-stable distribution-based normalization method vs other approaches
Towards computational and robotic modelling of animal cognition and behavior
Distantly supervised relation extraction with a Meta-Relation enhanced Contrastive learning framework
Improving the performance of P300-based brain-computer interface through subspace-based filtering
CSENet: Cascade semantic erasing network for weakly-supervised semantic segmentation
An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting
PCNet: Paired channel feature volume network for accurate and efficient depth estimation
Analog on-chip-learning for active noise canceling
Optimizing urban traffic flow using Genetic Algorithm with Petri net analysis as fitness function
Neuro-Fuzzy approach to video transmission over ZigBee
Ga-based passive loop optimization for magnetic field mitigation of transmission lines
Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations
Network pruning using sparse learning and genetic algorithm
KPLS-based image super-resolution using clustering and weighted boosting
Predicting synchronized neural assemblies from experimentally estimated phase-resetting curves
HRSGD: High-order recurrent medical image fusion via self-supervised generative distillation
Dynamic synchronous graph transformer network for region-level air-quality forecasting
Multineuron response to wind stimuli in the American cockroach
Instance search based on weakly supervised feature learning
Enhancing few-shot KB-VQA with panoramic image captions guided by Large Language Models
An experimental study on methods for the selection of basis functions in regression
Robust driveshaft torque observer design for stepped ratio transmission in electric vehicles
Two-parameter bifurcation analysis of firing activities in the Chay neuronal model
ISCDFuse: Interval sampling correlation driven visual state space models for multimodal image fusion
Enriched ant colony optimization and its application in feature selection
Coronal Mass Ejections detection using multiple features based ensemble learning
Non-uniform quantization of neural spike sequences through an information distortion measure
Distributed machine learning and sparse representations
A hierarchical attention model for rating prediction by leveraging user and product reviews
Cross coordination of behavior clone and reinforcement learning for autonomous within-visual-range air combat
Advancing ensemble learning against unlearnable data
Artificial intelligence using hyper-algebraic networks
Constructive multi-output extreme learning machine with application to large tanker motion dynamics identification
Fine-grained hierarchical singular value decomposition for convolutional neural networks compression and acceleration
Neural network approaches to fractal image compression and decompression
Performance evaluation of feature detection and matching in stereo visual odometry
Boundedness and periodicity for linear threshold discrete-time quaternion-valued neural network with time-delays
Semi-supervised progressive dehazing network using unlabeled contrastive guidance
A sparse fuzzy c-means algorithm based on sparse clustering framework
Multiple-targets tracking control algorithm for a class of nonlinear systems with feedforward compensations
Phase-locked oscillations in a neuronal network model
Deep learning based early stage diabetic retinopathy detection using optical coherence tomography
An LPV based robust peak-to-peak state estimation for genetic regulatory networks with time varying delay
Special issue on advances in graph algorithm and applications
Linguistic properties based on American Sign Language isolated word recognition with artificial neural networks using a sensory glove and motion tracker
Reservoir computing for detection of steady state in performance tests of compressors
Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition
Multivariate time series forecasting via attention-based encoder-decoder framework
Domain-invariant information aggregation for domain generalization semantic segmentation
Structured orthogonal random features based on DCT for kernel approximation
Vision enhanced neuro-cognitive structure for robotic spatial cognition
Fuzzy-model-based decentralized dynamic-output-feedback H ∞ control for large-scale nonlinear systems with time-varying delays