yusuke1997/dblp-id-title huggingface dataset:
TIVE: A toolbox for identifying video instance segmentation errors
Bridging the metrics gap in image style transfer: A comprehensive survey of models and criteria
Transition and enhancement of synchronization by time delays in stochastic Hodgkin-Huxley neuron networks
An algorithm for underdetermined mixing matrix estimation
Application of error minimized extreme learning machine for simultaneous learning of a function and its derivatives
Transformer-based correlation mining network with self-supervised label generation for multimodal sentiment analysis
Distributed policy evaluation over multi-agent network with communication delays
Mixed-dense connection networks for image and video super-resolution
3D human action recognition model based on image set and regularized multi-task leaning
ALSTM: An attention-based long short-term memory framework for knowledge base reasoning
Special issue on ACML 2015
Enhancing Tiny Object Detection Using Guided Object Inference Slicing (GOIS): An efficient dynamic adaptive framework for fine-tuned and non-fine-tuned deep learning models
IAMOT: Multi-object tracking with integrated heads and attention mechanism
A novel lightweight deep attention network for automated nuclei segmentation in histopathology images
Approximating the response-stimulus correlation for the integrate-and-fire neuron
Depth-2 neural networks under a data-poisoning attack
Coordinated behavior of cooperative agents using deep reinforcement learning
On a granular functional link network for classification
Representing network reconstruction solutions with colored Petri nets
Exponential stability analysis of stochastic reaction-diffusion Cohen-Grossberg neural networks with mixed delays
Voting based q-generalized extreme learning machine
Mix-VAEs: A novel multisensor information fusion model for intelligent fault diagnosis
An efficient technique for automatic segmentation of fingerprint ROI from digital slap image
An effective framework for supervised dimension reduction
Texture feed based convolutional neural network for pansharpening
Reliable and robust scheduling of airport operation resources by simulation optimization feedback and conflict resolution
Tracking control of redundant mobile manipulator: An RNN based metaheuristic approach
Spatial graph convolutional neural network via structured subdomain adaptation and domain adversarial learning for bearing fault diagnosis
TPPFAM: Use of threshold and posterior probability for category reduction in fuzzy ARTMAP
Model adaptive parameter fine-tuning Based on contribution measure for image classification
A probabilistic optimizer for binary neural networks
Stability and bifurcation of genetic regulatory networks with delays
A model of associative long-term potentiation and long-term depression in a compartmental reconstruction of a neuron
Intrahippocampal gamma and theta rhythm generation in a network model of inhibitory interneurons
Single-layer artificial neural networks for gene expression analysis
Optimization approximation solution for regression problem based on extreme learning machine
Multi-task l 0 gradient minimization for visual tracking
A consecutive hybrid spiking-convolutional (CHSC) neural controller for sequential decision making in robots
Deterministic local alignment methods improved by a simple genetic algorithm
Multi-view clustering based on heterogeneous representation learning and tensor weighted low-rank constraints
Spiking cortical model for multifocus image fusion
Cooperative coevolution of generalized multi-layer perceptrons
Cycle-Consistent Adversarial chest X-rays Domain Adaptation for pneumonia diagnosis
State estimation for neural networks with Markov-based nonuniform sampling: The partly unknown transition probability case
A non-singleton type-2 fuzzy neural network with adaptive secondary membership for high dimensional applications
Neuron importance based verification of neural networks via divide and conquer
Secure tracking control for uncertain nonlinear systems with incompatible state constraints via joint optimization
Fully distributed synchronization on directed graphs via self-triggered control with positive minimum inter-event times
Topology identification for fractional complex networks with synchronization in finite time based on adaptive observers and event-triggered control
Enhanced neural network control of lower limb rehabilitation exoskeleton by add-on repetitive learning
Aesthetic-aware adversarial learning network for artistic style transfer
HTDA: Hierarchical time-based directional attention network for sequential user behavior modeling
Event-triggered ADP control of a class of non-affine continuous-time nonlinear systems using output information
Modification of particle swarm optimization with human simulated property
Nonlinear dynamic system identification using pipelined functional link artificial recurrent neural network
A model of the leech segmental swim central pattern generator
Graph matching based point correspondence with alternating direction method of multipliers
Artificial neural network visual model for image quality enhancement
Training and meta-training an ensemble of binary neural networks with quantum computing
High-speed rail pole number recognition through deep representation and temporal redundancy
CoST: Comprehensive structural and temporal learning of social propagation for fake news detection
A new method to build the adaptive k-nearest neighbors similarity graph matrix for spectral clustering
Multi-view clustering with extreme learning machine
Constrained event-driven policy iteration design for nonlinear discrete time systems
Cross-subject recognition of operator functional states via EEG and switching deep belief networks with adaptive weights
Confidence-based interactable neural-symbolic visual question answering
Cluster synchronization of fractional-order reaction-diffusion neural networks under modular directed topologies
Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering
Bayesian nonstationary source separation
A computational model relating changes in cerebral blood volume to synaptic activity in neurons
Deep learning and pre-training technology for encrypted traffic classification: A comprehensive review
Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell
Comparison of distance and reinforcement-learning rules in social-influence models
Guided filter random walk and improved spiking cortical model based image fusion method in NSST domain
Sequence-based prediction of protein-protein interaction sites by simplified long short-term memory network
Domain adversarial tangent subspace alignment for explainable domain adaptation
Learning architecture for the recognition of walking and prediction of gait period using wearable sensors
FRIEND: Feature selection on inconsistent data
SAFE-TAP: Semantic-aware and fused embedding for TAP rule security detection
CIFFormer: A Contextual Information Flow Guided Transformer for colorectal polyp segmentation
Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles
Guest Editorial: Query understanding
Special issue on ICONIP 2012 "Learning Algorithms and Applications"
Cooperative output feedback adaptive control of uncertain nonlinear multi-agent systems with a dynamic leader
Neural solution to the target intercept problems in a gun fire control system
Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix
Some novel analysis and learning methods for neural networks - Selected papers from the 5th International Symposium on Neural Networks
Enhanced and parameterless Locality Preserving Projections for face recognition
Key-concept thinking prompting for improved reasoning in large language models
Memory degradation induced by attention in recurrent neural architectures
An initialization-free distributed prescribed-time optimization algorithm based on multiagent systems for solving economic dispatch problem
Anchor-graph regularized orthogonal concept factorization for document clustering
A multi-source classification framework with invariant representation reconstruction for dual-target RSVP-BCI tasks in cross-subject scenario
Decentralized adaptive neural asymptotic control of switched nonlinear interconnected systems with predefined tracking performance
A learning based fiducial-driven registration scheme for evaluating laser ablation changes in neurological disorders
A general method for P-model FSSA learning in triple level environment
Topic model validation
MK-SGN: A spiking graph convolutional network with multimodal fusion and knowledge distillation for skeleton-based action recognition
The functional roles of chemical coupling and gap junction between horizontal cells in the catfish retina
A collaborative decision framework for dynamic control of gear remaining useful life using multi-source information in active health management
Binary-coded extremal optimization for the design of PID controllers
Advances on neural networks for speech and audio processing
Graph regularized local self-representation for missing value imputation with applications to on-road traffic sensor data
Trainable pruned ternary quantization for medical signal classification models
aMacP: An adaptive optimization algorithm for Deep Neural Network
Dynamic ensemble pruning based on multi-label classification
How much can we trust neural simulation strategies?
Using unsupervised clustering approach to train the Support Vector Machine for text classification
TSAD: Temporal-spatial association differences-based unsupervised anomaly detection for multivariate time-series
Double nuclear norm-based robust principal component analysis for image disocclusion and object detection
Trajectory tracking of nonlinear system using multiple series-parallel dynamic neural networks
Decision making using neural networks
Feature selection techniques with class separability for multivariate time series
From healthy to pathology through a fall in dynamical complexity of involuntary oscillations of the human hand
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data
Adaptive consensus of multi-agent systems via odd impulsive control
The differogram: Non-parametric noise variance estimation and its use for model selection
Event-triggered H∞ filtering for nonlinear networked control systems via T-S fuzzy model approach
Sketched quantile additive functional regression
Automatic multi-view registration of unordered range scans without feature extraction
Mutual ensemble learning for brain tumor segmentation
Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning
Time series forecasting of petroleum production using deep LSTM recurrent networks
Representation space in a network of coupled chaotic oscillators with modulated synchronization
Synergistic insights: Exploring continuous learning and explainable AI in handwritten digit recognition
Intracortical vs. thalamocortical processing of spatial working memory
Roles of the prefrontal neurons in delayed matching-to-category task: a modeling study
Verifying ambiguous claims with a reasoner-translator framework
Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure
Distributed containment output-feedback control for a general class of stochastic nonlinear multi-agent systems
Geometric analysis of neuronal firing patterns in network models with fast inhibitory synapses
Exponential synchronization of complex-valued memristor-based delayed neural networks via quantized intermittent control
Accurate and robust facial expressions recognition by fusing multiple sparse representation based classifiers
PatchDetector: Pluggable and non-intrusive patch for small object detection
Periocular region-based person identification in the visible, infrared and hyperspectral imagery
MirBot: A collaborative object recognition system for smartphones using convolutional neural networks
A systematic review and analysis of deep learning-based underwater object detection
Finite-time synchronization for delayed complex-valued neural networks via integrating inequality method
Exponential stability of genetic regulatory networks with random delays
VNGEP: Filter pruning based on von Neumann graph entropy
IKFD-Depth: Enhancing self-supervised monocular depth estimation with incremental knowledge distillation and feature decoupling self-distillation
Adaptive neural event-triggered consensus control for unknown nonlinear second-order delayed multi-agent systems
A real-time optimal generation cost control method for virtual power plant
Online continual learning in image classification: An empirical survey
Data-based approximate optimal control for nonzero-sum games of multi-player systems using adaptive dynamic programming
Integrated deep learning method for workload and resource prediction in cloud systems
DEGAN: Decentralized generative adversarial networks
A transformer-based low-resolution face recognition method via on-and-offline knowledge distillation
MPFBL: Modal pairing-based cross-fusion bootstrap learning for multimodal emotion recognition
Statistical binary patterns for rotational invariant texture classification
Simplified frequency method for stability and bifurcation of delayed neural networks in ring structure
RockNet: Deep progressive lithology recognition model based on feature saliency and fusion
To each his own: The caregiver's role in a computational model of gaze following
Blind source separation and independent component analysis
ChatAgri: Exploring potentials of ChatGPT on cross-linguistic agricultural text classification
YCSC-UNet: A Y-shaped composite spatial channel network based on U-Net for breast lesion ultrasound image segmentation
Nonconvex function activated zeroing neural network models for dynamic quadratic programming subject to equality and inequality constraints
TTPP: Temporal Transformer with Progressive Prediction for efficient action anticipation
A simulated annealing algorithm for sparse recovery by l 0 minimization
Formation control for nonlinear multi-agent systems by robust output regulation
Recognition of JSL fingerspelling using Deep Convolutional Neural Networks
Distributed non-fragile l2-l∞ filtering over sensor networks with random gain variations and fading measurements
An ELM-based model for affective analogical reasoning
Nonlinear H ∞ observer design for one-sided Lipschitz systems
EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment
A spike train analysis for correlating burst firings in neurons
Gradient-coupled cross-patch attention map for weakly supervised semantic segmentation
Gradient distribution-aware INT8 training for neural networks
Computational modeling of bursting pacemaker neurons in the pre-Bötzinger complex
Global projective synchronization in finite time of nonidentical fractional-order neural networks based on sliding mode control strategy
Sliding-mode surface-based adaptive optimal nonzero-sum games for saturated nonlinear multi-player systems with identifier-critic networks
Novel delay-dependent stability criteria for switched Hopfield neural networks of neutral type
Novel approaches using evolutionary computation for sparse least square support vector machines
Twin self-supervision based semi-supervised learning (TS-SSL): Retinal anomaly classification in SD-OCT images
Properties of variations in the periods of ring neural oscillators with noise
Partial label learning with heterogeneous domain adaptation
Improvement of Waegeman-Baets-Boullart algorithms for ordered multi-class ROC analysis
Decision fusion of sparse representation and support vector machine for SAR image target recognition
Multi-channel spike detection and sorting using an array processing technique
GenExp: Multi-objective pruning for deep neural network based on genetic algorithm
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI
Attention-based face alignment: A solution to speed/accuracy trade-off
Enabling automation and edge intelligence over resource constraint IoT devices for smart home
Passivity of coupled memristive delayed neural networks with fixed and adaptive coupling weights
Globally exponential stability and dissipativity for nonautonomous neural networks with mixed time-varying delays
Economic system forecasting based on temporal fusion transformers: Multi-dimensional evaluation and cross-model comparative analysis
Computational Energy Management in Smart Grids
Multimodal image registration using histogram of oriented gradient distance and data-driven grey wolf optimizer
Scale invariant texture classification via sparse representation
Neuromorphic approach to tactile edge orientation estimation using spatiotemporal similarity
Cali-sketch: Stroke calibration and completion for high-quality face image generation from human-like sketches
A neural model for the integration of stereopsis and motion parallax in structure from motion
Sampled-data model-free adaptive integral sliding mode control for nonlinear continuous-time networked control systems with fading channels and packet dropouts
Convergence behavior of Cohen-Grossberg neural networks with time-varying delays in the leakage terms
Contextual effects by short range connections in a mean-field model of V1
A quantitative model relating visual neuronal activity to psychophysical thresholds
Stable indirect adaptive neural controller for a class of nonlinear system
Identifying mismatch between urban travel demand and transport network services using GPS data: A case study in the fast growing Chinese city of Harbin
Sparse coding in early visual representation: From specific properties to general principles
Visual summarization of image collections by fast RANSAC
Survey on semantic segmentation using deep learning techniques
Achieving domain generalization for underwater object detection by domain mixup and contrastive learning
A computational model of episodic memory formation in the hippocampal system
Feature-based motion compensated interpolation for frame rate up-conversion
Improved neural network tomography by initial learning with coarse reconstructed image
Improved sparse least-squares support vector machines
Enhanced Robust Fuzzy K-Means Clustering joint ℓ0-norm constraint
Statistical data mining of streaming motion data for activity and fall recognition in assistive environments
Finite-time leaderless consensus of uncertain multi-agent systems against time-varying actuator faults
A geometric approach to support vector regression
The importance of nonlinear dendritic processing in multimodular memory networks
Learning for medical imaging
Fixed-time formation tracking for unmanned surface vehicles: A multi-layer neural networks approach
Classification of transcranial Doppler signals using individual and ensemble recurrent neural networks
I2CKD : Intra- and inter-class knowledge distillation for semantic segmentation
Neural-networks-based adaptive asymptotic tracking control of MIMO stochastic non-strict-feedback nonlinear systems with full state constraints and unknown control gains
A model of visual cortical temporal frequency tuning
Deep attention user-based collaborative filtering for recommendation
Finite-time control of linear systems under time-varying sampling
Multi-Layer federated learning for bit-width and data heterogeneity in cloud-edge systems
Integration of the saliency-based seed extraction and random walks for image segmentation
Robust objectness tracking with weighted multiple instance learning algorithm
On neural networks and learning systems for business computing
Features injected recurrent neural networks for short-term traffic speed prediction
Semantic networks represented by adaptive associative memories
Finite-time boundedness of state estimation for neural networks with time-varying delays
Content based medical image retrieval using dictionary learning
Neural network-based adaptive second order sliding mode control of Lorentz-augmented spacecraft formation
Heuristics and metaheuristics for biological network alignment: A review
Cooperative containment for second-order multi-agent systems with asynchronous setting and random link failures
Verifying Anaconda's expert rating by competing against Chinook: experiments in co-evolving a neural checkers player
Multistability analysis of complex-valued recurrent neural networks with sine and cosine activation functions
HGEED: Hierarchical graph enhanced event detection
Classification of medicinal plants: An approach using modified LBP with symbolic representation
Blind source separation based on independent vector analysis using feed-forward network
GRAMOFON: General model-selection framework based on networks
Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval
Robust and fast visual tracking via spatial kernel phase correlation filter
CM-SQL: A cross-model consistency framework for text-to-SQL
Towards a construction-based framework for development of language, event perception and social cognition: Insights from grounded robotics and simulation
An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis
An adaptation of hybrid binary optimization algorithms for medical image feature selection in neural network for classification of breast cancer
Bifurcating fuzzy sets: Theory and application
SVM and PCA based fault classification approaches for complicated industrial process
Online event-based adaptive critic design with experience replay to solve partially unknown multi-player nonzero-sum games
Attention-aware conditional generative adversarial networks for facial age synthesis
Semantic substructure guided multiple objective molecular generation with discrete diffusion probabilistic model
MRI reconstruction via enhanced group sparsity and nonconvex regularization
Existence and stability of periodic solutions of discrete-time Cohen-Grossberg neural networks with delays and impulses
A learning and niching based backtracking search optimisation algorithm and its applications in global optimisation and ANN training
Transduction to induction: Unsupervised representation learning based on rank information
TSGAN: A two-stage interpretable learning method for image cartoonization
Exploring cognitive machines - Neural models of reasoning, illustrated through the two-sticks paradigm
Observations on morphological associative memories and the kernel method
Neural bistability and amplification mediated by NMDA receptors: Analysis of stationary equations
Towards collaborative appearance and semantic adaptation for medical image segmentation
Convergence analysis of distributed stochastic gradient descent with shuffling
Consensus of multi-agent systems with faults and mismatches under switched topologies using a delta operator method
SYN-PBOX: A large-scale benchmark dataset of box-shaped objects for scene understanding of bin picking
Cerebellar adaptive control of a biomimetic manipulator
Deep residual networks with a fully connected reconstruction layer for single image super-resolution
Comparing synchronous and asynchronous UWB time-based localization systems for Autonomous Mobile Robots
Temporal data mining using shape space representations of time series
Disentangle irrelevant and critical representations for face anti-spoofing
Complex graph neural networks for multi-hop propagation
Utilizing graph neural networks to improving dialogue-based relation extraction
Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction
Artificial neural networks aided solution to the problem of geometrically bounded singularities and joint limits prevention of a three dimensional planar redundant manipulator
Front-door causal attention for unbiased panoptic scene graph generation
An enhanced fuzzy min-max neural network with ant colony optimization based-rule-extractor for decision making
Finite-time consensus control of heterogeneous nonlinear MASs with uncertainties bounded by positive functions