yusuke1997/dblp-id-title huggingface dataset:
AttenMamba: Enhancing long and short-range dependencies with state space model for aspect-based sentiment analysis
Taguchi method-ANN integration for predictive model of intrinsic stress in hydrogenated amorphous silicon film deposited by plasma enhanced chemical vapour deposition
Multimodal metaphor detection based on distinguishing concreteness
Boosting few-shot intent detection via feature enrichment and regularization
Dynamic and prioritized task scheduling of heterogeneous multi-robot systems using deep reinforcement learning
Evolving Ensemble Model based on Hilbert Schmidt Independence Criterion for task-free continual learning
Ensemble learning with siamese networks for visual tracking
Regularized least squares fisher linear discriminant with applications to image recognition
Multi-modal anchor adaptation learning for multi-modal summarization
Robust landmark graph-based clustering for high-dimensional data
Sycophancy in vision-language models: A systematic analysis and an inference-time mitigation framework
Maximum neural network with nonlinear self-feedback for maximum clique problem
A joint framework for mining discriminative and frequent visual representation
Resilient state estimation for nonlinear complex networks with time-delay under stochastic communication protocol
New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays
Sign prediction in social networks based on tendency rate of equivalent micro-structures
Contrastive and consistent feature learning for weakly supervised object localization and semantic segmentation
Pyramid convolutional network for colorization in monochrome-color multi-lens camera system
Locality based discriminative measure for multiple-shot human re-identification
Visual tracking via shallow and deep collaborative model
A novel chaotic particle swarm optimization based fuzzy clustering algorithm
A brain-inspired neurodynamic model for efficient sequence memory
Weighted dynamic time warping for traffic flow clustering
Crafting adversarial example with adaptive root mean square gradient on deep neural networks
Improving mode exploring capability of generative adversarial nets by self-organizing map
Valid data based normalized cross-correlation (VDNCC) for topography identification
An effective maximum entropy exploration approach for deceptive game in reinforcement learning
Event-triggered quantization control for uncertain networked control systems under DoS attacks: A 1-bit encoding scheme
Robust Bayesian mixture modelling
Metaphor generation based on noval evaluation method
Synaptic metaplasticity for image processing enhancement in convolutional neural networks
Adaptive neural tracking control for a class of uncertain switched nonlinear systems with unknown backlash-like hysteresis control input
Middle fusion and multi-stage, multi-form prompts for robust RGB-T tracking
Parallel dual-branch network with multi-scale features for unsupervised domain adaption person re-identification
Graph-powered learning for social networks
Random Gabor based templates for facial expression recognition in images with facial occlusion
Goal-oriented behavior sequence generation based on semantic commands using multiple timescales recurrent neural network with initial state correction
Robust passivity analysis for uncertain neural networks with discrete and distributed time-varying delays
A new control model for the temporal coordination of arm transport and hand preshape applying to two-dimensional space
An impulse control approach to spacecraft autonomous rendezvous based on genetic algorithms
DPSO based on a min-max approach and clamping strategy for the evacuation vehicle assignment problem
Fast approximate minimum spanning tree based clustering algorithm
Online industrial fault prognosis in dynamic environments via task-free continual learning
Differential neural network approximation of positive systems: An asymmetric barrier Lyapunov functions approach for learning laws design
YOLO*C - Adding context improves YOLO performance
S2CA: Shared Concept Prototypes and Concept-level Alignment for text-video retrieval
Pinning synchronization of higher-order nonlinear networks with time delays
Generating emotional response by conditional variational auto-encoder in open-domain dialogue system
A clustering method based on extreme learning machine
A grey convolutional neural network model for traffic flow prediction under traffic accidents
On the power of Boolean computations in generalized RBF neural networks
MSGSE-Net: Multi-scale guided squeeze-and-excitation network for subcortical brain structure segmentation
Asymptotic and finite-time synchronization of fractional-order multiplex networks with time delays by adaptive and impulsive control
Distributed optimal formation control for constrained quadrotor unmanned aerial vehicles via Stackelberg-game
Robust unsupervised anomaly detection via multi-time scale DCGANs with forgetting mechanism for industrial multivariate time series
The existence of periodic solutions for coupled systems on networks with time delays
Inter-spikes-intervals exponential and gamma distributions study of neuron firing rate for SVITE motor control model on FPGA
A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing
Different-layer control of robotic manipulators based on a novel direct-discretization RNN algorithm
Mathematical description of ionic currents of the Kenyon cell in the mushroom body of honeybee
An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets
Robust discriminative regression for facial landmark localization under occlusion
Fixed-time stabilization and synchronization of fuzzy inertial neural networks via aperiodically semi-intermittent control
Leader-following exponential consensus of input saturated stochastic multi-agent systems with Markov jump parameters
Stability analysis of inertial Cohen-Grossberg-type neural networks with time delays
Variational Bayesian method for speech enhancement
Group sparsity based regularization model for remote sensing image stripe noise removal
Fuzzy model-based predictive control of dissolved oxygen in activated sludge processes
Point clouds learning with attention-based graph convolution networks
Hierarchical division clustering framework for categorical data
Differences in prefrontal and motor structures learning dynamics depend on task complexity: A neural network model
Optimal selection of ensemble classifiers using measures of competence and diversity of base classifiers
Applications of fractional calculus in computer vision: A survey
Perspective shape from shading for wide-FOV near-lighting endoscopes
Local cortical injections of glutamate and noradrenaline alter high-frequency (245 Hz) neuronal activity in rat cortex
An SAE-based resampling SVM ensemble learning paradigm for pipeline leakage detection
PoseDucer: Implicit relation inducement for invisible keypoint reconstruction in real-world occluded scenes
Global power synchronization of complex dynamical networks with proportional delay and impulsive effects
A biologically plausible neural network model of the primate primary visual system
Intelligent nonconvex compressive sensing using prior information for image reconstruction by sparse representation
Dual Focal Loss to address class imbalance in semantic segmentation
Adaptive neural network finite-time control for nonlinear cyber-physical systems with external disturbances under malicious attacks
Shrink image by feature matrix decomposition
Neural networks with finite-time convergence for solving time-varying linear complementarity problem
Margin-based wrapper methods for gene identification using microarray
An adaptive gradient method with transformation bound
Saliency motivated improved simplified PCNN model for object segmentation
Incremental algorithms on low-rank approximation of large-scale kernel matrices based on perturbation of invariant subspaces
Exploration on the spiking response of a single compartment neuron with multiple active properties under electrical stimuli
Leveraging fusion of sequence tagging models for toxic spans detection
Special Issue on Hybrid Artificial Intelligence Systems from HAIS 2020 Conference
Spatiotemporal visual saliency guided perceptual high efficiency video coding with neural network
Arcing fault detection using artificial neural networks
A dynamic model of learning in the septo-hippocampal system
Multi-omics fusion based on attention mechanism for survival and drug response prediction in Digestive System Tumors
Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk
Sensor scheduling for lifetime maximization in centralized state estimation
Towards robust DeepFake distortion attack via adversarial autoaugment
Evolutionary pre-training for CRJ-type reservoir of echo state networks
A switched view of Retinex: Deep self-regularized low-light image enhancement
Image fusion with saliency map and interest points
Gaussian process versus margin sampling active learning
A novel sparse representation based framework for face image super-resolution
Decentralized control for stabilization of nonlinear multi-agent systems using neural inverse optimal control
Surgical GAN: Towards real-time path planning for passive flexible tools in endovascular surgeries
HuPBA8k+: Dataset and ECOC-Graph-Cut based segmentation of human limbs
Decentralized composite suboptimal control for a class of two-time-scale interconnected networks with unknown slow dynamics
Robust delay-derivative-dependent state-feedback control for a class of continuous-time system with time-varying delays
A novel stochastic configuration network with enhanced feature extraction for industrial process modeling
Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm
RKPOEM: A fine-grained dropout strategy for robust multi-view 3D hand reconstruction
Unpaired salient object translation via spatial attention prior
Sparse Least-Squares Support Vector Machines via Accelerated Segmented Test: A dual approach
Multi-level cross-view consistent feature learning for person re-identification
Performing multi-target regression via gene expression programming-based ensemble models
Combining global receptive field and spatial spectral information for single-image hyperspectral super-resolution
Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor
Totipotent neural controllers for modular soft robots: Achieving specialization in body-brain co-evolution through Hebbian learning
On pinning group consensus for dynamical multi-agent networks with general connected topology
Hybrid e-regression and validation soft computing techniques: The case of wood dielectric loss factor
Application of fuzzy adaptive back-propagation neural network in thermal conductivity gas analyzer
BSANet: Boundary-aware and scale-aggregation networks for CMR image segmentation
MEAI-Net: Multiview embedding and attention interaction for multivariate time series forecasting
Predicting the generalization gap in neural networks using topological data analysis
Cooperative output regulation of discrete-time linear time-delay multi-agent systems under switching network
A computational approach to memory deficits in schizophrenia
Multi-category classification with label noise by robust binary loss
FACET-VLM: Facial emotion learning with text-guided multiview fusion via vision-language model for 3D/4D facial expression recognition
Natural scene text detection by multi-scale adaptive color clustering and non-text filtering
On the evolutionary-fuzzy control of WIP in manufacturing systems
Content-based table retrieval for web queries
An autocatalytic model of STDP timing from slow calcium-dependent signals
Dynamic weight reinforcement learning method considering multiple factors in mobile edge computing system
Zero-shot low-dose CT denoising across variable schemes via strip-scanning diffusion models
Control backbone: An index for quantifying a node's importance for the network controllability
Logic-oriented neural networks for fuzzy neurocomputing
Efficient incremental construction of RBF networks using quasi-gradient method
A method for mixed data classification base on RBF-ELM network
A survey on generative adversarial network-based text-to-image synthesis
MOLGMP: A Markov approach for molecular graph generation with GNNs
Neural network learning algorithm for a class of interconnected nonlinear systems
Knowledge based attribute completion for heterogeneous graph node classification
Time series is not enough: Financial Transformer Reinforcement Learning for portfolio management
Comprehensive image restoration for robot-assisted PC-side UI automated testing using neural network
Neural network-based optimal control of a batch crystallizer
Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination
Compressed sensing image reconstruction using intra prediction
Joint estimation of linear non-Gaussian acyclic models
A 4D transformer with spatiotemporal attentions for universal diagnosis of brain disorders
A Hessian-based zeroing neurodynamic approach for quaternion-variable time-varying constrained optimization problems
Image annotation based on feature fusion and semantic similarity
Neural networks approaches for discovering the learnable correlation between gene function and gene expression in mouse
3-Points Convex Hull Matching (3PCHM) for fast and robust point set registration
Depth map reconstruction and rectification through coding parameters for mobile 3D video system
Development of a neuroinference engine for ADSL modem applications in telecommunications using an ANN with fast computational ability
Sequence disambiguation and pattern completion by cooperation between autoassociative and heteroassociative memories of functionally divided hippocampal CA3
Enhancing reverse distillation model for multi-class unsupervised anomaly detection via latent space regularization
Optimal bipartite consensus for discrete-time multi-agent systems with event-triggered mechanism based on adaptive dynamic programming
Hypergraph regularized sparse feature learning
On extreme learning machines in sequential and time series prediction: A non-iterative and approximate training algorithm for recurrent neural networks
Decentralized event-triggered consensus control for second-order multi-agent systems
Feature extraction using fuzzy maximum margin criterion
Vibration fault diagnosis based on stochastic configuration neural networks
Frequency-Embedded Watermarking: Defending vision models from extraction attacks
Probabilistic approach to detecting dependencies between data sets
Observer-based time-varying formation-containment tracking of general linear multi-agent systems with input saturation
Double missing multi-view multi-label classification via an attention-guided multi-space consistency alignment framework
Associative memory with a controlled chaotic neural network
Visiome environment: enterprise solution for neuroinformatics in vision science
Learning sparse representations for view-independent human action recognition based on fuzzy distances
Toward statistically valid population decoding models
What kind of color spaces is suitable for color face recognition?
New inequality-based approach to passivity analysis of neural networks with interval time-varying delay
RBPNET: An asymptotic Residual Back-Projection Network for super-resolution of very low-resolution face image
Short-term water level prediction using neural networks and neuro-fuzzy approach
Incremental learning tracking control of complex dynamical trajectories for robotic manipulator
Variable kernel density estimation based robust regression and its applications
Why Divisive Normalization works in image segmentation?
Syntax-based argument correlation-enhanced end-to-end model for scientific relation extraction
Outer synchronization of uncertain general complex delayed networks with adaptive coupling
Global exponential stability of discrete-time Cohen-Grossberg neural networks
Adaptive weighted robust iterative closest point
Sparse dictionary learning by block proximal gradient with global convergence
Fuzzy Kohonen clustering networks for interval data
Nearly finite-horizon optimal control for a class of nonaffine time-delay nonlinear systems based on adaptive dynamic programming
Nonlinear control scheme for general decay projective synchronization of delayed memristor-based BAM neural networks
Dual-layer kernel extreme learning machine for action recognition
Customizable text generation via conditional text generative adversarial network
Scalable transfer support vector machine with group probabilities
L 1/2 regularization learning for smoothing interval neural networks: Algorithms and convergence analysis
Advances in artificial neural networks, machine learning and computational intelligence
Infinitely deep Bayesian neural network with signature transform
Discriminative Nonnegative Matrix Factorization for dimensionality reduction
A biologically inspired solution to simultaneous localization and consistent mapping in dynamic environments
Dynamic event-triggered security control of cyber-physical systems against missing measurements and cyber-attacks
Leader-following consensus control of position-constrained multiple Euler-Lagrange systems with unknown control directions
Combating spatial redundancy with spectral norm attention in convolutional learners
A critical analysis of image-based camera pose estimation techniques
Region NMS-based deep network for gigapixel level pedestrian detection with two-step cropping
Fixed-time synchronization of discontinuous complex-valued BAM neural networks with time delays
A local-global mixed kernel with reproducing property
Payment-Guard : Detecting fraudulent in-app purchases in iOS system
LBAN-IL: A novel method of high discriminative representation for facial expression recognition
Stochastic discriminant analysis for linear supervised dimension reduction
Continuous transfer of neural network representational similarity for incremental learning
Stabilized neural ordinary differential equation for text classification in natural language processing
The effect of the head number for multi-head self-attention in remaining useful life prediction of rolling bearing and interpretability
Complex learning in connectionist networks
Research on application of knowledge graph in industrial control system security situation awareness and decision-making: A survey
ReLTanh : An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis
LILPA: A label importance based label propagation algorithm for community detection with application to core drug discovery
A fast algorithm for sparse support vector machines for mobile computing applications
NeuVision: A novel simulation environment to model spontaneous and stimulus-evoked activity of large-scale neuronal networks
Person identification from partial gait cycle using fully convolutional neural networks
Transition of phase locking modes in a minimal neuronal network
An oversampling framework for imbalanced classification based on Laplacian eigenmaps
Advances in artificial neural networks, machine learning, and computational intelligence
Enhanced multi-view graph convolutional networks for session-based recommendation
Enhancing aspect-based sentiment analysis using a dual-gated graph convolutional network via contextual affective knowledge
Building a Cepstrum-HMM kernel for Apnea identification
Host-based intrusion detection systems adapted from agent-based artificial immune systems
Identification of cancer subtypes by integrating multiple types of transcriptomics data with deep learning in breast cancer
Learning from contextual information of geo-tagged web photos to rank personalized tourism attractions
On linking human and machine brains
Fundamentals of Neural Network Modeling: Neuropsychology and Cognitive Neuroscience. R.W. Parkes, D.S. Levine and D.L. Long; MIT Press, Cambridge, MA, 1998, pp 428, ISBN 0-262-16175-3
R2IS: Resilient and robust neighborhood rough feature selection using combination mutual information
Consensus of discrete-time linear multi-agent systems with Markov switching topologies and time-delay
Optimized graph-based segmentation for ultrasound images
Nesting spatiotemporal attention networks for action recognition
Comparison of combining methods using Extreme Learning Machines under small sample scenario
One-dimensional pairwise CNN for the global alignment of two DNA sequences
A novel classifier ensemble method with sparsity and diversity
L1-norm latent SVM for compact features in object detection
Enhance prototypical networks with hybrid attention and confusing loss function for few-shot relation classification
Exponential extended dissipative synchronization control of Cohen-Grossberg neural networks with four kinds of time-varying delays
Towards a new perspective on Multi-Objective Enhanced Ensemble Classification
Attention region detection based on closure prior in layered bit Planes
Understanding neural networks with logarithm determinant entropy estimator
Robust neuro-adaptive bipartite formation control for nonlinear multi-agent systems subject to Markovian switching topologies and additive noise
Finite-time stability analysis for neutral-type neural networks with hybrid time-varying delays without using Lyapunov method
Detection of HEVC double compression with non-aligned GOP structures via inter-frame quality degradation analysis
Measuring cognitive load by a score-based causal network model with multichannel physiological signals
Semantic image segmentation via guidance of image classification
Unconstrained face sketch synthesis via perception-adaptive network and a new benchmark
Effect of noise on neuron transient response
IPIRNNs: Integration-based physics informed randomized neural networks for solving stiff ODEs
Continuum model for tubulin-driven neurite elongation
SelfNet: A semi-supervised local Fisher discriminant network for few-shot learning
SCAN: A shared causal attention network for adverse drug reactions detection in tweets
Consensus of fractional-order delayed multi-agent systems in Riemann-Liouville sense
Controllability of Boolean control networks with time delays both in states and inputs
Adaptive sensory processing for efficient place coding
A model with length-variable attention for spoken language understanding
Determination of target values of engineering characteristics in QFD using a fuzzy chance-constrained modelling approach
Data-specific activation function learning for constructive neural networks
Incremental online sparsification for model learning in real-time robot control
Robust approximations of low-rank minimization for tensor completion
A neural image captioning model with caption-to-images semantic constructor
Sketch-based 3D object recognition from locally optimized sparse features
WAE: An evaluation metric for attribution-based XAI on time series forecasting
Enhancing multi-level contrastive clustering via attentive fusion
Neural headline generation: A comprehensive survey
Improved max-value entropy search for multi-objective bayesian optimization with constraints
Generic probabilistic prototype based classification of vectorial and proximity data
Determining learning direction via multi-controller model for stably searching generative adversarial networks
Code smell detection based on supervised learning models: A survey
Leveraging hyper-interval granules labeling and local mixed neighborhood entropy for semi-supervised feature selection
Triple-translation GAN with multi-layer sparse representation for face image synthesis
Cortico-thalamic interactions in response to whisker stimulation in a computer model of the rat barrel system
Two-stage fine-tuning with ChatGPT data augmentation for learning class-imbalanced data
A fast constrained state transition algorithm
Type-2 fuzzy broad learning controller for wastewater treatment process
Attentive and ensemble 3D dual path networks for pulmonary nodules classification
Training deep neural networks with discrete state transition