yusuke1997/dblp-id-title huggingface dataset:
Cross-modal image retrieval with deep mutual information maximization
Density-based clustering with fully-convolutional networks for crowd flow detection from drones
A class density approximation neural network for improving the generalization of Fisherface
Robust input-to-state stability of neural networks with Markovian switching in presence of random disturbances or time delays
FastPicker: Adaptive independent two-stage video-to-video summarization for efficient action recognition
Unsupervised feature selection via discrete spectral clustering and feature weights
Sequential learning artificial fuzzy neural networks (SLAFNN) with single hidden layer
A multi-label classification algorithm based on kernel extreme learning machine
Image-text aggregation for open-vocabulary semantic segmentation
LIFT-SLAM: A deep-learning feature-based monocular visual SLAM method
Synaptic plasticity model of a spiking neural network for reinforcement learning
LUIE: Learnable physical model-guided underwater image enhancement with bi-directional unsupervised domain adaptation
Cauchy loss induced block diagonal representation for robust multi-view subspace clustering
Argument-based agreements in agent societies
Solving inexact graph isomorphism problems using neural networks
From different ZFs to different ZNN models accelerated via Li activation functions to finite-time convergence for time-varying matrix pseudoinversion
Broad hashing for image retrieval
EvoGAN: An evolutionary computation assisted GAN
Deep Learning Representation using Autoencoder for 3D Shape Retrieval
Corrigendum to "A passport recognition and face verification using enhanced fuzzy ART based RBF network and PCA algorithm" [Neurocomputing 71 (2008) 3202-3210]
The role of protein kinase C in the biochemical pathways of classical conditioning
State estimation for discrete-time high-order neural networks with time-varying delays
Text-to-video person re-identification benchmark: Dataset and dual-modal contextual alignment
Margin distribution explanation on metric learning for nearest neighbor classification
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting
A text semantic topic discovery method based on the conditional co-occurrence degree
Cluster Sculptor, an interactive visual clustering system
Position-aware Interactive Attention Network for multi-intent spoken language understanding
Further results on L 2 -L ∞ state estimation of delayed neural networks
Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications
Variational learning of finite Dirichlet mixture models using component splitting
Prompt-supervised dynamic attention graph convolutional network for skeleton-based action recognition
Genetic algorithm for optimization of models of the early stages in the visual system
Real-time local path planning strategy based on deep distributional reinforcement learning
Optimization of dynamic neural fields
Fuzzy MSD based feature extraction method for face recognition
Dual pyramid network for salient object detection
Frequency distributed model of Caputo derivatives and robust stability of a class of multi-variable fractional-order neural networks with uncertainties
Few-shot medical relation extraction via prompt tuning enhanced pre-trained language model
Leveraging language models for automated distribution of review notes in animated productions
Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization
Hybrid human detection and recognition in surveillance
Advances in data representation and learning for pattern analysis
Adaptive deformable convolutional network
Training a robust reinforcement learning controller for the uncertain system based on policy gradient method
ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines
Multi-objective optimization-based adaptive class-specific cost extreme learning machine for imbalanced classification
A novel plant-wide process monitoring framework based on distributed Gap-SVDD with adaptive radius
Frequency-dependent depletion of secretory vesicle pools modulates bursting in vasopressin neurones of the rat supraoptic nucleus
The vitality of pattern recognition and image analysis
Advancements in neuromorphic computing for bio-inspired artificial vision: A review
Robustization of a learning method for RBF networks
A discrete version of the dynamic link network
Inductive relation prediction with information bottleneck
A comprehensive empirical review of modern voice activity detection approaches for movies and TV shows
3D motion estimation via optimized feature point selection
Hybrid fuzzy-neural network-based composite contingency ranking employing fuzzy curves for feature selection
Static consensus of second-order multi-agent systems with impulsive algorithm and time-delays
Fault tolerant control for a class of nonlinear systems with multiple faults using neuro-dynamic programming
Dimensionality reduction using graph-embedded probability-based semi-supervised discriminant analysis
Multiple populations co-evolutionary particle swarm optimization for multi-objective cardinality constrained portfolio optimization problem
Multistage hierarchical incremental neural network based on stochastic configuration mechanism and dynamic inequality constraint
A highly scalable incremental facial feature extraction method
Second-order group consensus for multi-agent systems with time delays
Kernel-driven similarity learning
Personalized ranking with pairwise Factorization Machines
Global exponential stability in Lagrange sense for neutral type recurrent neural networks
Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion
A projection type steepest descent neural network for solving a class of nonsmooth optimization problems
Urban traffic flow prediction based on multi-spatio-temporal feature fusion
Robust image compressive sensing based on m-estimator and nonlocal low-rank regularization
Monophonic sound source separation with an unsupervised network of spiking neurones
Is burst activity in cortical slices a representative model for epilepsy?
New exponentially convergent state estimation method for delayed neural networks
Diverse lesion detection from retinal images by subspace learning over normal samples
A niching genetic programming-based multi-objective algorithm for hybrid data classification
Multi-packet regions in stabilized continuous attractor networks
Information maximization in face processing
Intelligent control of chaotic systems via self-organizing Hermite-polynomial-based neural network
Fault diagnosis with synchrosqueezing transform and optimized deep convolutional neural network: An application in modular multilevel converters
MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs
Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification
Single-layered complex-valued neural network for real-valued classification problems
Active learning for social image retrieval using Locally Regressive Optimal Design
Feature selection with effective distance
Swarm intelligence algorithms for Yard Truck Scheduling and Storage Allocation Problems
Deep fractal residual network for fast and accurate single image super resolution
Feature selections integrating algebraic and information perspectives in weighted incomplete neighborhood rough sets
Application of self-organizing map to failure modes and effects analysis methodology
A comprehensive overview of core modules in visual SLAM framework
Cross-modality synergy network for referring expression comprehension and segmentation
Leveraging graph neural networks for point-of-interest recommendations
PolaCount: Text-specified zero-shot object counting with pyramid polarity-aware cross-attention
Zero. The biography of a dangerous idea, C. Seife; Penguin Books, London, 2000, pp 248, ISBN: 0-670-88457-X
A Bark-scale filter bank approach to independent component analysis for acoustic mixtures
Probabilistic 3D object recognition from 2D invariant view sequence based on similarity
Part-aware trajectories association across non-overlapping uncalibrated cameras
A pseudo-3D coarse-to-fine architecture for 3D medical landmark detection
Estimation and decision fusion: A survey
A robust recovery algorithm with smoothing strategies
Li-MFNet: A lightweight multi-scale input Mamba fusion network for medical image segmentation
Global adaptive neural dynamic surface control of strict-feedback systems
Adaptive Selective Learning for automatic identification of sub-kilometer craters
MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning
DCT-CNN-based classification method for the Gongbi and Xieyi techniques of Chinese ink-wash paintings
Novel delay-dependent stability criterion for uncertain genetic regulatory networks with interval time-varying delays
Development of robust neighbor embedding based super-resolution scheme
Span-based dependency-enhanced graph convolutional network for aspect sentiment triplet extraction
Event photo mining from Twitter using keyword bursts and image clustering
Improved event-triggered control for networked control systems under stochastic cyber-attacks
Ergodic dynamics of time-fractional FitzHugh-Nagumo diffusive systems with time delays
An overview on density peaks clustering
Robust and complex approach of pathological speech signal analysis
PALO bounds for reinforcement learning in partially observable stochastic games
Adversarial patch-based false positive creation attacks against aerial imagery object detectors
Reduced-reference image deblurring quality assessment based on multi-scale feature enhancement and aggregation
An efficient multimodal attentional principal component analysis for continual learning-based dynamic process monitoring
Existence and stability of periodic solution of high-order discrete-time Cohen-Grossberg neural networks with varying delays
A composite ICA algorithm and the application in localization of brain activities
Feature selection and multiple kernel boosting framework based on PSO with mutation mechanism for hyperspectral classification
Temporal dynamics of information flow in the cerebral cortex
Training T-S norm neural networks to refine weights for fuzzy if-then rules
Integrating large foundation models into multimodal named entity recognition with evidential fusion
Predictor-assisted evolutionary neural architecture search for spiking neural networks
Adaptive sliding window LSTM NN based RUL prediction for lithium-ion batteries integrating LTSA feature reconstruction
Optimizing principal component analysis performance for face recognition using genetic algorithm
Ray-guided global optimization method for training neural networks
Characterizing attentive behavior in intelligent environments
Optimal information transfer in synchronized neocortical neurons
Discriminative distribution alignment for domain adaptive object detection
Learning from demonstration for 7-DOF anthropomorphic manipulators without offset via analytical inverse kinematics
IoU-guided Siamese region proposal network for real-time visual tracking
A combined blind source separation and adaptive noise cancellation scheme with potential application in blind acoustic parameter extraction
How ideal do macaque monkeys integrate contours?
Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder-decoder network
On support vector machines and sparse approximation for random processes
A Dual Recurrent Neural Network-based Hybrid Approach for Solving Convex Quadratic Bi-Level Programming Problem
Multi-level supervised hashing with deep features for efficient image retrieval
Weakly supervised point cloud semantic segmentation using pseudo-label reliability and consistency regularization
Class label autoencoder with structure refinement for zero-shot learning
High-dimensional labeled data analysis with topology representing graphs
A hierarchical contextual attention-based network for sequential recommendation
Conditional adversarial synthesis of 3D facial action units
Neural inverse optimal control for discrete-time impulsive systems
A combination of hidden Markov model and fuzzy model for stock market forecasting
Efficient block-wise independent component analysis with optimal learning rate
Learning invariance manifolds
Latent face model for across-media face recognition
Detecting influenza states based on hybrid model with personal emotional factors from social networks
An overview: Attention mechanisms in multi-agent reinforcement learning
Learning framework of multimodal Gaussian-Bernoulli RBM handling real-value input data
Digital implementations of thalamocortical neuron models and its application in thalamocortical control using FPGA for Parkinson's disease
An improved hierarchical deep reinforcement learning algorithm for multi-intelligent vehicle lane change
Disturbance observer-based output feedback control for uncertain QUAVs with input saturation
Probabilistic hypergraph matching based on affinity tensor updating
FFSL-Aux: An accurate and efficient framework for hybrid federated few-shot learning
UDSFS: Unsupervised deep sparse feature selection
A new online Bayesian NMF based quasi-clean speech reconstruction for non-intrusive voice quality evaluation
Temporal convolution derived multi-layered reservoir computing
Sampling control on collaborative flocking motion of discrete-time system with time-delays
Consensus seeking in heterogeneous second-order multi-agent systems with switching topologies and random link failures
Color image classification and retrieval through ternary decision structure based multi-category TWSVM
ArrowGAN : Learning to generate videos by learning Arrow of Time
Joint group and residual sparse coding for image compressive sensing
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout
Deep synthetic-proxy hashing for multi-label cross-modal retrieval
Improving CBR adaptation for recommendation of associated references in a knowledge-based learning assistant system
Enhanced radial basis function neural networks for ozone level estimation
A novel end-to-end 1D-ResCNN model to remove artifact from EEG signals
Deep style transfer to deal with the domain shift problem on spheroid segmentation
C-Multi: A competent multi-swarm approach for many-objective problems
Stateless distributed Stein variational gradient descent method for Bayesian federated learning
Adversarial self-supervised clustering with cluster-specificity distribution
Dual-graph regularized concept factorization for clustering
A convex relaxation optimization algorithm for multi-camera calibration with 1D objects
Constructing visual tag dictionary by mining community-contributed media corpus
Reducibilities of hyperbolic neural networks
Elliptic Curves and Their Applications to Cryptography: An Introduction : Andreas Enge, Kluwer Academic Press, Norwell, MA, 1999, pp 164, ISBN 0-7923-8589-6
Matrix measure based stability criteria for high-order neural networks with proportional delay
Learning to detect Android malware via opcode sequences
Looseness diagnosis method for connecting bolt of fan foundation based on sensitive mixed-domain features of excitation-response and manifold learning
The augmented complex-valued extreme learning machine
A survey on kernel-based multi-task learning
Multi-level fine-grained fusion based robust low-rank approximation for human motion data restoration
Data stream classification and big data analytics
Quad binary pattern and its application in mean-shift tracking
Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning
Automatic extracellular spike denoising using wavelet neighbor coefficients and level dependency
Movie collaborative filtering with multiplex implicit feedbacks
Decentralized adaptive tracking control scheme for nonlinear large-scale interconnected systems via adaptive dynamic programming
ReMemNN: A novel memory neural network for powerful interaction in aspect-based sentiment analysis
Fixed-time stability of projection neurodynamic network for solving pseudomonotone variational inequalities
Global-local fusion network for face super-resolution
Survey on multimodal approaches to emotion recognition
Interest transfer graph convolutional networks for multi-behavior recommendation
ESA ☆ : A generic framework for semi-supervised inductive learning
State consensus cooperative control for a class of nonlinear multi-agent systems with output constraints via ADP approach
Global Mittag-Leffler stability for a coupled system of fractional-order differential equations on network with feedback controls
Hierarchical deep semantic representation for visual categorization
Input observability of Boolean control networks
A computational inverse technique for material characterization of a functionally graded cylinder using a progressive neural network
A highly scalable parallel spike-based digital neuromorphic architecture for high-order fir filters using LMS adaptive algorithm
Signed attention based graph neural network for graphs with heterophily
Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior
Relative ordering learning in spiking neural network for pattern recognition
Semantic query suggestion using Twitter Entities
Dynamic aspects of delay activity
Modeling and stability analysis of grey-fuzzy predictive control
Object-to-group probabilistic distance measure for uncertain data classification
Invariant encoding of spatial stimulus topology in the temporal domain
STFT-like time frequency representations of nonstationary signal with arbitrary sampling schemes
Block-wise two-directional 2DPCA with ensemble learning for face recognition
Cooperative multi-agent deep reinforcement learning-based eco-driving strategy for hybrid electric vehicles at multi-intersection scenarios
Fast subspace segmentation via Random Sample Probing
Enhancing zero-shot multilingual semantic parsing: A framework leveraging large language models for data augmentation and advanced prompting techniques
Harvest shopping advice: Neural Question Generation from multiple information sources in E-commerce
Can under-exploited structure of original-classes help ECOC-based multi-class classification?
Perceptual segmentation and neural grouping in tilt illusion
Hardware computation of conductance-based neuron models
An enhanced few-shot text classification approach by integrating topic modeling and prompt-tuning
Adaptive synthetic oversampling with Poincaré distance and Two-stage weight assignment
Accuracy analysis of semi-supervised classification when the class balance changes
Deep recursive up-down sampling networks for single image super-resolution
Funclust: A curves clustering method using functional random variables density approximation
Cross-architecture knowledge distillation for speech enhancement: From CMGAN to Unet
GPM: A graph convolutional network based reinforcement learning framework for portfolio management
Online phoneme recognition using multi-layer perceptron networks combined with recurrent non-linear autoregressive neural networks with exogenous inputs
Locally weighted embedding topic modeling by markov random walk structure approximation and sparse regularization
Modelling EMG driven wrist movements using a bio-inspired neural network
Distributed event-triggered state estimation for renewable microgrids subject to incomplete observations
Prediction of rate of penetration based on drilling conditions identification for drilling process
Observer-based adaptive neural control for switched stochastic pure-feedback systems with input saturation
Ensemble based reactivated regularization extreme learning machine for classification
Recursive DLS solution for extreme learning machine-based channel equalizer
MoSCE-ReID: Mixture of semantic clustering experts for person re-identification
Analysis and control for synchronization of coupled reaction-diffusion neural networks with multiple couplings subject to topology attacks
A survey of fitness landscape analysis for optimization
Overcomplete topographic independent component analysis
GDTW-P-SVMs: Variable-length time series analysis using support vector machines
Analyzing relationships among ARMA processes based on non-Gaussianity of external influences
A multi-scale and multi-level feature aggregation network for crowd counting
An integrated K-means - Laplacian cluster ensemble approach for document datasets
Bengali fake reviews: A benchmark dataset and detection system
Information-theoretic enhancement learning and its application to visualization of self-organizing maps
Flounder-Net: An efficient CNN for crowd counting by aerial photography
ActiveAd: A novel framework of linking ad videos to online products
On the asynchronous bipartite consensus for discrete-time second-order multi-agent systems with switching topologies
A novel hashing scheme for Depth-image-based-rendering 3D images
Monocular 3D vehicle detection with multi-instance depth and geometry reasoning for autonomous driving
Balanced knowledge distillation for one-stage object detector
Boosting video popularity through keyword suggestion and recommendation systems
An SA-GA-BP neural network-based color correction algorithm for TCM tongue images
Impulsive pinning synchronization of stochastic discrete-time networks
A quantile fusion methodology for deep forecasting
DISSEC: A distributed deep neural network inference scheduling strategy for edge clusters
Weighted multifeature hyperspectral image classification via kernel joint sparse representation
NODE-SELECT: A graph neural network based on a selective propagation technique
Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark
A review of clustering techniques and developments
Deep prediction networks
A spatial correlation prediction model of urban PM2.5 concentration based on deconvolution and LSTM
H∞ control design for discrete-time switched fuzzy systems
Problem-solving behavior in a system model of the primate neocortex
Sequence to sequence learning for joint extraction of entities and relations
Design of multivariable PID controllers using real-coded population-based extremal optimization
Decentralized graph-based multi-agent reinforcement learning using reward machines
Adaptive consensus control of output-constrained second-order nonlinear systems via neurodynamic optimization
Operant behavior suggests attentional gating of dopamine system inputs
Fusing audio, visual and textual clues for sentiment analysis from multimodal content
Corrigendum to "Realistic acceleration of neural networks with fine-grained tensor decomposition" [Neurocomputing 512 (2022) 52-68]
Exploring lottery ticket hypothesis in few-shot learning
Application of bacterial foraging technique trained artificial and wavelet neural networks in load forecasting
Robust visual tracking via incremental low-rank features learning
Effects of feedback control in small-world neuronal networks interconnected according to a human connectivity map
RELAXNet: Residual efficient learning and attention expected fusion network for real-time semantic segmentation
Probabilistic optimal power flow for power systems considering wind uncertainty and load correlation
Robust detection of intermittent sensor faults in stochastic LTV systems
Iterative image rain removal network using consecutive residual long short-term memory
MAFormer: A transformer network with multi-scale attention fusion for visual recognition
The universal consistency of extreme learning machine
Temporal pattern identification using spike-timing dependent plasticity
Non-combinatorial estimation of independent autoregressive sources
Multi-source transfer learning via optimal transport feature ranking for EEG classification
Description and classification for facilitating interoperability of heterogeneous data/events/services in the Internet of Things
Learning differentiable categorical regions with Gumbel-Softmax for person re-identification
Regularized complete linear discriminant analysis