yusuke1997/dblp-id-title huggingface dataset:
MIGT: Multi-modal image inpainting guided with text
Ship motion prediction using dynamic seasonal RvSVR with phase space reconstruction and the chaos adaptive efficient FOA
Cooperative control for multi-player pursuit-evasion games with reinforcement learning
Unsupervised learning neural network with convex constraint: Structure and algorithm
Models of paradoxical lesion effects and rules of inference for imputing function to structure in the brain
Online association by continuous-discrete appearance similarity measurement for multi-object tracking
Coupling importance sampling neural network for imbalanced data classification with multi-level learning bias
RAAG:Redundancy-adaptive and attention-guided token pruning for efficient video action detection
Translating image sequences into spike patterns for cortical neuro-stimulation
Collaborative filtering with weighted opinion aspects
Weighted sparse representation for face recognition
Unifying models of paired associates and serial learning: insights from simulating a chaining model
Spatio-temporal knowledge distilled video vision transformer (STKD-VViT) for multimodal deepfake detection
PDANet: Pyramid density-aware attention based network for accurate crowd counting
An approximate inference with Gaussian process to latent functions from uncertain data
MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning
Instruction-guided path planning with 3D semantic maps for vision-language navigation
Evaluation of local spatial-temporal features for cross-view action recognition
Digging into it: Community detection via hidden attributes analysis
Surpassing early stopping: A novel correlation-based stopping criterion for neural networks
Finite-time passivity of multiple weighted coupled uncertain neural networks with directed and undirected topologies
SAANet: Siamese action-units attention network for improving dynamic facial expression recognition
Game theoretical analysis of the simple one-vs.-all classifier
Feature selection for least squares projection twin support vector machine
Event-triggered consensus control of high-order multi-agent systems with arbitrary switching topologies via model partitioning approach
An efficient Spatial-Temporal model based on gated linear units for trajectory prediction
Learning fair models without sensitive attributes: A generative approach
Reactive Soft Prototype Computing for Concept Drift Streams
Transfer subspace learning for cross-dataset facial expression recognition
Correntropy-based robust extreme learning machine for classification
Identification of noisy dynamical systems with parameter estimation based on Hopfield neural networks
Advertising object in web videos
Rough extreme learning machine: A new classification method based on uncertainty measure
Zapping prediction for online advertisement based on cumulative smile sparse representation
Design and analysis of associative memories based on external inputs of continuous bidirectional associative networks
Neural network-based predictions of hand movements using simulated and real EEG data
Designs of graph echo state networks for node classification
Negation and speculation scope detection using recursive neural conditional random fields
Dynamics analysis of a new fractional-order SVEIR-KS model for computer virus propagation: Stability and Hopf bifurcation
Synchronization for general complex dynamical networks with sampled-data
Adaptive weighted motion averaging with low-rank sparse for robust multi-view registration
Multiscale self-similarity and sparse representation based single image super-resolution
Semi-supervised metric learning in stratified spaces via intergrating local constraints and information-theoretic non-local constraints
A human-centered artificial intelligence approach for privacy protection of elderly App users in smart cities
Face synthesis from low-resolution near-infrared to high-resolution visual light spectrum based on tensor analysis
Nonlinear dimensionality reduction with relative distance comparison
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems
A review of deep learning based anomaly detection
3D multi-scale discriminative network with multi-directional edge loss for prostate zonal segmentation in bi-parametric MR images
Effects of Financial Holding Company Act on bank efficiency and productivity in Taiwan
Master-slave synchronization of heterogeneous dimensional delayed neural networks
A deep manifold learning approach for spatial-spectral classification with limited labeled training samples
NeuroLinear: From neural networks to oblique decision rules
Selecting valuable training samples for SVMs via data structure analysis
CLU-CNNs: Object detection for medical images
Semantics of deductive databases with spiking neural P systems
Robust ordinal regression induced by l p -centroid
Dual-model spiking neural network for remote sensing image classification using mutual knowledge distillation
Finite-time synchronization of inertial memristive neural networks with time-varying delays via sampled-date control
A contrastive learning-based heterogeneous dual-branch network for source camera identification
Intelligent dynamic sliding-mode neural control using recurrent perturbation fuzzy neural networks
Parallel extreme learning machine for regression based on MapReduce
A review of distributed optimization: Problems, models and algorithms
An improved sequence-based prediction protocol for protein-protein interactions using amino acids substitution matrix and rotation forest ensemble classifiers
MultiJAF: Multi-modal joint entity alignment framework for multi-modal knowledge graph
A short-term traffic forecasting model based on echo state network optimized by improved fruit fly optimization algorithm
LLE for submersible plunger pump fault diagnosis via joint wavelet and SVD approach
Fixed-time synchronization of interconnected memristive neural networks with energy consumption via switched control
Simulating heterogeneous crowds from a physiological perspective
A generic kinematic pattern for human walking
Driving amount based stochastic configuration network for industrial process modeling
IATA: Instance-driven advancing targeted attacks with transferable pattern embedding
Search modes for the cooperative multi-agent system solving the vehicle routing problem
Crowd emotion evaluation based on fuzzy inference of arousal and valence
Event-based H ∞ fault estimation for networked time-varying systems with randomly occurring nonlinearities and ( x, v )-dependent noises
KI-MAG: A knowledge-infused abstractive question answering system in medical domain
Android malware detection with unbiased confidence guarantees
Multi-domain feature analysis of MI-EEG signals using tensor train decomposition and projected gradient Non-negative Matrix Factorization
A novel approach based on clustering and optimized ensemble deep learning for energy consumption forecasting in Ethiopia
Additive autoencoder for dimension estimation
SGCDiff: Sketch-Guided Cross-modal Diffusion Model for 3D shape completion
Generalized N-dimensional principal component analysis (GND-PCA) and its application on construction of statistical appearance models for medical volumes with fewer samples
Forgetting memristor based neuromorphic system for pattern training and recognition
Breaking the alignment barrier: A spatiotemporal alignment-free RGBT tracking approach
ORB feature based web pornographic image recognition
A predefined-time and anti-noise varying-parameter ZNN model for solving time-varying complex Stein equations
Human activity prediction using temporally-weighted generalized time warping
A unified community detection algorithm in complex network
Training biological neural cultures: Towards Hebbian learning
Effects of voltage trajectory on action potential voltage threshold in simulations of cat spinal motoneurons
Wi-HSNN: A subnetwork-based encoding structure for dimension reduction and food classification via harnessing multi-CNN model high-level features
Distributed GNE seeking for aggregative games under event-triggered communication: Predefined-time convergent algorithm design
Summarizing egocentric videos using deep features and optimal clustering
Efficient feature selection and linear discrimination of EEG signals
Vulnerabilities of label and model protection in vertical federated learning based on simulation models
Single-frame multi-exposure image fusion via narrowband filter decoupled imaging
Drug-target interaction prediction with Bipartite Local Models and hubness-aware regression
SAR-DRDNet: A SAR image despeckling network with detail recovery
Universality conditions of unified classical and quantum reservoir computing
A Brief Survey on Semantic Segmentation with Deep Learning
FPGA implementation of genetic vector quantizers
Leveraging transferability and improved beam search in textual adversarial attacks
Gated PE-NL-MA: A multi-modal attention based network for video understanding
No-reference image quality assessment via bidirectional feature fusion and regional distortion extraction
Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis
CrowdUNet: Segmentation assisted U-shaped crowd counting network
The existence and exponential stability of periodic solution for coupled systems on networks without strong connectedness
Model-free distributed integral sliding mode predictive control for multi-agent systems with communication delay
Adaptive neuro-fuzzy inference system based representative quality power factor for power quality assessment
Determination of confidence bounds and artificial neural networks in non-linear optimization problems
Graph-enhanced visual representations and question-guided dual attention for visual question answering
Regularized online sequential extreme learning machine with adaptive regulation factor for time-varying nonlinear system
Stability analysis of standard genetic regulatory networks with time-varying delays and stochastic perturbations
Low-rank representation based discriminative projection for robust feature extraction
Dual attention and dual fusion: An accurate way of image-based geo-localization
A novel fault diagnosis algorithm for rotating machinery based on a sparsity and neighborhood preserving deep extreme learning machine
Full frequency de-noising method based on wavelet decomposition and noise-type detection
Special Issue on "Solving complex machine learning problems with ensemble methods"
Dual delay-partitioning approach to stability analysis of generalized neural networks with interval time-varying delay
DQT-CALF: Content adaptive neural network based In-Loop filter in VVC using dual query transformer
Exploring uncertainty in regression neural networks for construction of prediction intervals
High-fidelity image deconvolution for low-dose cerebral perfusion CT imaging via low-rank and total variation regularizations
Neural network induction graph for pattern recognition
Practical finite-time and fixed-time containment for second-order nonlinear multi-agent systems with IDAs and Markov switching topology
Dynamic event-based asymptotic tracking and vibration control for constrained flexible manipulator systems with intermittent faults
Twice clustering based individual neural network generation method
FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis
Wsbp function activated Zhang dynamic with finite-time convergence applied to Lyapunov equation
Towards mesh saliency in 6 degrees of freedom
Hybrid attention-based transformer block model for distant supervision relation extraction
Designing adaptive deep denoisers for Plug-and-Play FBS with stable iterations
An experimental study of the extended NRBF regression model and its enhancement for classification problem
An extension of neural gas to local PCA
AQUDF: Adaptive frequency annealing with quadratic-enhanced implicit surface reconstruction
Incremental two-dimensional kernel principal component analysis
Pinning synchronization of spatial diffusion coupled reaction-diffusion neural networks with and without multiple time-varying delays
Evolving hybrid ensembles of learning machines for better generalisation
Global exponential stability analysis of discrete-time BAM neural networks with delays: A mathematical induction approach
A sparse method for least squares twin support vector regression
Recurrent neural networks for time series classification
Two-branch fusion network with attention map for crowd counting
Generalized Cauchy-Schwarz divergence: Efficient estimation and applications in deep learning
Robust control for affine nonlinear systems under the reinforcement learning framework
Addressing imbalanced classification with instance generation techniques: IPADE-ID
Bioinspired actor-critic algorithm for reinforcement learning interpretation with Levy-Brown hybrid exploration strategy
Stability analysis for stochastic BAM neural networks with Markovian jumping parameters
Optimization with the evolution strategy by example of electrical-discharge drilling
Adaptive fusion network for RGB-D salient object detection
Almost periodic solutions of impulsive neural networks at non-prescribed moments of time
Speeding up omnidirectional video quality assessment with reinforcement learning based key-frame selection
Bi-directional generative retrieval-augmented diffusion models for document-level informative argument extraction
Double almost periodicity for high-order Hopfield neural networks with slight vibration in time variables
Inductive-transductive learning for very sparse fashion graphs
Prompt-based hybrid supervised contrastive learning for emotion recognition in conversation
Multimodal fusion techniques: Review, data representation, information fusion, and application areas
iTD3-CLN: Learn to navigate in dynamic scene through Deep Reinforcement Learning
FG-RS: Capture user fine-grained preferences through attribute information for Recommender Systems
GAR: An efficient and scalable graph-based activity regularization for semi-supervised learning
Nonlinear analysis of spatio-temporal receptive fields: III. RF-reconstruction from mean-field approximations
A LSTM based framework for handling multiclass imbalance in DGA botnet detection
ν -projection twin support vector machine for pattern classification
A focus measure in discrete cosine transform domain for multi-focus image fast fusion
Modular ensembles for one-class classification based on density analysis
Near-optimal output tracking controller design for nonlinear systems using an event-driven ADP approach
Scene Graph Generation: A comprehensive survey
Zero-reference generative exposure correction and adaptive fusion for low-light image enhancement
A simple programmable axonal delay scheme for spiking neural networks
An indicator-based evolutionary algorithm with adaptive archive update cycle for multi-objective multi-robot task allocation
Delay-dependent state estimation for neural networks with time-varying delay
Long-term neuronal behavior caused by two synaptic modification mechanisms
Enhancing aspect-based sentiment analysis with linking words-guided emotional augmentation and hybrid learning
Crowd behavior analysis: A review where physics meets biology
Sparse Coding Neural Gas: Learning of overcomplete data representations
A learning theoretic approach to perceptual geometry in natural scenes
A modified Markov clustering approach to unsupervised classification of protein sequences
Wavelet sampling and generalization in neural networks
A clustering time series model for the optimal hedge ratio decision making
Neural network construction and training using grammatical evolution
Almost sure adaptive asymptotically synchronization for neutral-type multi-slave neural networks with Markovian jumping parameters and stochastic perturbation
Pairing support vector algorithm for data regression
Adaptive natural gradient learning algorithms for Mackey-Glass chaotic time prediction
STF-Trans: A two-stream spatiotemporal fusion transformer for very high resolution satellites images
A method for video authenticity based on the fingerprint of scene frame
Multimodal privacy-leaking image detection method based on multi-image correlation
A zeroing neural dynamics algorithm for discrete-time nonlinear optimization with linear equality constraint and perturbation inhibition
Knowledge graph representation and reasoning
Optimization of coke ratio for the second proportioning phase in a sintering process base on a model of temperature field of material layer
Extended local tangent space alignment for classification
Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency
Radar working mode amplitude waveform augmentation based on generative adversarial networks
Robust state estimation for discrete-time stochastic neural networks with probabilistic measurement delays
Model-based co-clustering for functional data
Multiobjective optimization based adaptive models with fuzzy decision making for stock market forecasting
Using clustering analysis to improve semi-supervised classification
Continually learn to map visual concepts to language models in resource-constrained environments
Memristor-based circuit implementation of pulse-coupled neural network with dynamical threshold generators
A neural architecture generator for efficient search space
How does generalization and creativity come into being in neural associative systems and how does it form human-like knowledge?
Using input parameter influences to support the decisions of feedforward neural networks
Meta-learning for efficient unsupervised domain adaptation
Kernel nonnegative matrix factorization for spectral EEG feature extraction
A cross-modal adaptive gated fusion generative adversarial network for RGB-D salient object detection
Domain generalization for person re-identification: A survey towards domain-agnostic person matching
Coexistence of locally multistable equilibrium points for n-neuron delayed quaternion-valued neural networks with continuous piecewise nonlinear activation functions
Defective samples simulation through adversarial training for automatic surface inspection
Continuous tracking of the emotion temperature
Swin-MSTP: Swin transformer with multi-scale temporal perception for continuous sign language recognition
Kernel ridge regression for general noise model with its application
Adaptive local hyperplane classification
Higher order partial least squares for object tracking: A 4D-tracking method
Complex stochastic systems modelling and control via iterative machine learning
On-line analysis of out-of-control signals in multivariate manufacturing processes using a hybrid learning-based model
Multi-view clustering for localized global time series forecasting
A minimal model for metabotropic modulation of fast synaptic transmission and firing properties in bullfrog sympathetic B neurons
Improving rule-based classifiers by Bayes point aggregation
Incremental classification of objects in scenes: Application to the delineation of images
Emerging trends and strategic opportunities in tiny machine learning: A comprehensive thematic analysis
Adaptive synchronization of memristor-based complex-valued neural networks with time delays
Optimal decorrelated score subsampling for Cox regression with massive survival data
Multi-instance multi-label image classification: A neural approach
A trajectory and force dual-incremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural network control
Multi-scale gray level co-occurrence matrices for texture description
Adaptive neural network finite-time tracking quantized control for uncertain nonlinear systems with full-state constraints and applications to QUAVs
Automatic age estimation based on deep learning algorithm
A local density-based approach for outlier detection
Origin and elimination of two global spurious attractors in Hopfield-like neural network performing Boolean factor analysis
Change-point detection in neuronal spike train activity
Advancing the neurocomputer
A survey on firefly algorithms
Emergence of population synchrony in a layered network of the cat visual cortex
ContrastNet: Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral imagery classification
Action recognition in compressed domains: A survey
Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial
Out-of-distribution detection: Sparsification meets subspace
Identifying neuronal assemblies with local and global connectivity with scale space spectral clustering
Storage capacity of rotor Hopfield neural networks
SCRSR: An efficient recursive convolutional neural network for fast and accurate image super-resolution
Analysis of professional trajectories using disconnected self-organizing maps
An adaptive neuro-complex-fuzzy-inferential modeling mechanism for generating higher-order TSK models
Local preserving logistic I-Relief for semi-supervised feature selection
A lightweight dual path Kolmogorov-Arnold convolution network for medical optical image segmentation
ReliefF-MI: An extension of ReliefF to multiple instance learning
Gödel. A Life of Logic, J.L. Casti, W. DePauli; Perseus Publishing, Cambridge, MA, 2000, pp 210, ISBN 0-7382-0274-6
DHU-Net: High-capacity binary data hiding network based on improved U-Net
Class-wise feature extraction technique for multimodal data
Training a feed-forward network by feeding gradients forward rather than by back-propagation of errors
Low redundancy cell-based Neural Architecture Search for large convolutional neural networks
Speech enhancement strategy for speech recognition microcontroller under noisy environments
Stochastic reconstruction of 3D porous media from 2D images using generative adversarial networks
Selecting discriminative features in social media data: An unsupervised approach
Interval type-2 fuzzy control for nonlinear discrete-time systems with time-varying delays
Extracting the autonomic nerve wreath of iris based on an improved snake approach
Fine-grained food image classification with multi-modal collaboration
Quasi-Newton Iterative Projection Algorithm for Sparse Recovery
Edge enhancement improves adversarial robustness in image classification
Scene and place recognition using a hierarchical latent topic model
State estimation for recurrent neural networks with unknown delays: A robust analysis approach
Graph transformer networks based text representation
Adaptive neural design for permanent magnet synchronous motor with asymmetric constraints and input dead-zone
Recent trends in intelligent data analysis
Novel controller design for finite-time synchronization of fractional-order memristive neural networks
Stability analysis for switched positive T-S fuzzy systems
General ELLRFS-DAZN algorithm for solving future linear equation system under various noises
Selective-Hop Graph Neural Networks for semi-supervised node classification
Echo state network optimization using binary grey wolf algorithm
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
A novel neural optimal control framework with nonlinear dynamics: Closed-loop stability and simulation verification
Dynamic event triggering output feedback synchronization for Markov jump neural networks with mode detection information
Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences
Editorial: Deep learning for medical image analysis
A new mode beyond the inverted-U region of the dopaminergic modulation of the prefrontal cortex
An extensible approach for real-time bidding with model-free reinforcement learning
Human-object interaction detection with depth-augmented clues
A zero-shot high-performance fire detection framework based on large language models
A fully complex-valued radial basis function classifier for real-valued classification problems
Optimizing the echo state network based on mutual information for modeling fed-batch bioprocesses