yusuke1997/dblp-id-title huggingface dataset:
When less is more: Sample-aware pruning of uninformative features improves neural-network regression
Removal of EOG artifacts from EEG using a cascade of sparse autoencoder and recursive least squares adaptive filter
Dynamical regimes and learning properties of evolved Boolean networks
Learning generalisation and localisation: Competition for stimulus type and receptive field
Exploiting score distribution for heterogenous feature fusion in image classification
Model based learning of sigma points in unscented Kalman filtering
Feature-aware conditional GAN for category text generation
ConvPose: A modern pure ConvNet for human pose estimation
Cross-environment activity recognition using word embeddings for sensor and activity representation
Classification of neural signals from sparse autoregressive features
Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with binary classification problems
A new neural network: Hybrid location-content addressable memory
Lag consensus and lag H∞ consensus for multiagent systems subject to topology attacks based on PD control and PI control
A cognitive brain model for multimodal sentiment analysis based on attention neural networks
Image segmentation based on weak fuzzy partition entropy
Evolution-guided value iteration for optimal tracking control
SMT-DL: A semi-supervised multi-task learning framework based on dictionary learning for robust feature sharing
An efficient minutiae based geometric hashing for fingerprint database
Study of the influence of lexicon and language restrictions on computer assisted transcription of historical manuscripts
CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks
Improving human action recognition by jointly exploiting video and WiFi clues
Neural modeling of synchronized bursting events
Polycentric intuitionistic fuzzy weighted least squares twin SVMs
Cross-feature interactive temporal knowledge graph reasoning with evolving retention mechanism
Learning from NN output feedback control of robot manipulators
General decay anti-synchronization of coupled delayed memristive neural networks with constant and time-varying distributed-delay coupling
DAA: Dual LSTMs with adaptive attention for image captioning
Statistical analysis of spatially embedded networks: From grid to random node positions
Time series forecasting using a deep belief network with restricted Boltzmann machines
The capacity of the dense associative memory networks
Exposure fusion based on sparse representation using approximate K-SVD
Embedded neural network for real-time animal behavior classification
Statistical criteria for early-stopping of support vector machines
Regularized spectral clustering under the mixed membership stochastic block model
Extended Kalman filter-based Elman networks for industrial time series prediction with GPU acceleration
Algebraic geometry and stochastic complexity of hidden Markov models
Stream-learn - open-source Python library for difficult data stream batch analysis
Robust plant cell tracking using local spatio-temporal context
Quaternion neuro-fuzzy learning algorithm for generation of fuzzy rules
Spiking neural networks in the Alexiewicz topology: A new perspective on analysis and error bounds
From linear to non-linear kernel based classifiers for bankruptcy prediction
A MPRM-based approach for fault diagnosis against outliers
The stability and statistic of domain decomposition algorithm with mini-batch learning for optimal transport
Design of associative memories using cellular neural networks
Robust deep ensemble method for real-world image denoising
Combining multilevel feature extraction and multi-loss learning for person re-identification
Bi-perspective Fisher discrimination for single depth map upsampling: A self-learning classification-based approach
Nonlinear-estimator-based robust synchronization of Hodgkin-Huxley neurons
Early fire detection using convolutional neural networks during surveillance for effective disaster management
Reweighted l 1 regularized TLS linear neuron for the sparse system identification
Prototypical contrastive learning based oriented detector for kitchen waste
Fuzzy color video filtering technique for sequences corrupted by additive Gaussian noise
Group-enhanced ranking
Real-time dynamic MRI using parallel dictionary learning and dynamic total variation
Learning as self-organization not self-gratification: The Fourth Appalachian Conference on Behavioral Neurodynamics
Novel approaches in machine learning and computational intelligence
Bayesian mixtures of Hidden Tree Markov Models for structured data clustering
A novel biologically inspired ELM-based network for image recognition
Automatic sign language to text translation using MediaPipe and transformer architectures
3D-KCPNet: Efficient 3DCNNs based on tensor mapping theory
Non-fragile state estimation for discrete Markovian jumping neural networks
Contrastive siamese network for detecting AI-generated text across domains and models
Multi-type social patterns-based graph learning
From detection to segmentation: Combining foundation model with bounding boxes for efficient fire detection
Data-driven optimal control for aero-engines with fuel saturation constraints in transient state
E-Mamba: An efficient Mamba point cloud analysis method with enhanced feature representation
Fusion of multiple channel features for person re-identification
Propagation of calcium waves in the Hermissenda type B photoreceptor
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
Self-sustained waves in a computational model of the olfactory epithelium with gap junctions
DMMGNet: A discrimination mapping and memory bank mean guidance-based network for high-performance few-shot industrial anomaly detection
Mutual inhibition increases adaptation rate in an electrosensory system
A self-organizing developmental cognitive architecture with interactive reinforcement learning
Adaptive activation functions in convolutional neural networks
Solving spatial-temporal PDEs with arbitrary boundary conditions using physics-constrained convolutional recurrent neural networks
Feature extraction using fuzzy inverse FDA
Kernel-based MinMax clustering methods with kernelization of the metric and auto-tuning hyper-parameters
Progressive kernel pruning with saliency mapping of input-output channels
Detecting cyberattacks in industrial control systems using online learning algorithms
3D shape recognition and retrieval based on multi-modality deep learning
Boosting label weighted extreme learning machine for classifying multi-label imbalanced data
CausTrack: Visual tracking via structural causality and deconfounded feature learning
A direct parameterized approach to global exponential stability of neutral-type Cohen-Grossberg neural networks with multiple discrete and neutral delays
Dissipativity-based filtering of nonlinear periodic Markovian jump systems: The discrete-time case
Improving the transferability of adversarial examples through black-box feature attacks
Stacked U-shape networks with channel-wise attention for image super-resolution
Effective piecewise planar modeling based on sparse 3D points and convolutional neural network
Multi-scale latent feature-aware network for logical partition based 3D voxel reconstruction
Genetic tolerance fuzzy neural networks: From data to fuzzy hyperboxes
Preventing harm to the rare in combating the malicious: A filtering-and-voting framework with adaptive aggregation in federated learning
Heterogeneous hypergraph embedding for document recommendation
Alleviating the problem of local minima in Backpropagation through competitive learning
Improved exponential stability criteria for discrete-time neural networks with time-varying delay
On-line relational and multiple relational SOM
Local learning-based feature weighting with privacy preservation
From sample selection to model update: A robust online visual tracking algorithm against drifting
Webspam demotion: Low complexity node aggregation methods
Linear quadratic tracking control of unknown discrete-time systems using value iteration algorithm
Benefiting from multitask learning to improve single image super-resolution
Examining methods for estimating mutual information in spiking neural systems
Application of fuzzy inference systems to detection of faults in wireless sensor networks
A survey of text classification based on pre-trained language model
Developing enhanced conversational agents for social virtual worlds
The sky-wave radar detection performance computing based on the dynamic ionospheric model
Hierarchical temporal memory and recurrent neural networks for time series prediction: An empirical validation and reduction to multilayer perceptrons
Joint neighborhood preserving and projected clustering for feature extraction
Distributed compressed sensing-based pan-sharpening with hybrid dictionary
A probabilistic multi-class strategy of one-vs.-rest support vector machines for cancer classification
Online figure-ground segmentation with adaptive metrics in generalized LVQ
An easy-to-hard learning strategy for within-image co-saliency detection
Stability and passivity analysis for uncertain discrete-time neural networks with time-varying delay
Robust real-time identification of tongue movement commands from interferences
Synchronization of complex dynamical networks with uncertain inner coupling and successive delays based on passivity theory
Sparse discriminative feature weights learning
GSEN: An ensemble deep learning benchmark model for urban hotspots spatiotemporal prediction
Knowledge graph completion with selecting similar and representative entities of anchors from negative samples
Probabilistic framework of visual anomaly detection for unbalanced data
Synthesis of complex- and hyperbolic-valued Hopfield neural networks
Bridging physical constraints and deep generative models via physics-aware normalizing flows
A fixed-point nonlinear PCA algorithm for blind source separation
Uncovering hierarchical structure in data using the growing hierarchical self-organizing map
Liquid computing of spiking neural network with multi-clustered and active-neuron-dominant structure
Extracting linguistic rules from data sets using fuzzy logic and genetic algorithms
H ∞ mode-independent filter design for Markovian jump genetic regulatory networks with time-varying delays
Empirical curvelet based fully convolutional network for supervised texture image segmentation
Latent feature mining of spatial and marginal characteristics for mammographic mass classification
The plasticity of feedforward neural networks in assimilating a training instance based on non-batch learning
Optimal neuro-fuzzy based islanding detection method for Distributed Generation
A fuzzy support vector machine algorithm for classification based on a novel PIM fuzzy clustering method
Quaternion broad learning system: A novel multi-dimensional filter for estimation and elimination tremor in teleoperation
Multiple target data-association algorithm based on Takagi-Sugeno intuitionistic fuzzy model
The nonlinear PCA learning rule in independent component analysis
A hyperparameter-free Scene-Motion Aware Cross Attention Network for video anomaly detection in surveillance
High density cell tracking with accurate centroid detections and active area-based tracklet clustering
Autonomous deep learning: A genetic DCNN designer for image classification
Distributed adaptive consensus tracking for a class of multi-agent systems via output feedback approach under switching topologies
Local and Global Spatial-Temporal Transformer for skeleton-based action recognition
Chaos in Quantum Weightless Neuron Node Dynamics
Per-FedAHM: Adaptive historical memory-driven personalized federated learning
Enhancing collaborative translational metric learning with causal graph network
An information theoretic approach to hierarchical clustering combination
A robust adaptive neural networks controller for maritime dynamic positioning system
A robust local sparse coding method for image classification with Histogram Intersection Kernel
An improved evolutionary extreme learning machine based on particle swarm optimization
Semi-supervised and active learning through Manifold Reciprocal kNN Graph for image retrieval
Stochastic interaction in associative nets
Hashtag recommendation for multimodal microblog posts
Deep learning approach for defective spot welds classification using small and class-imbalanced datasets
Output synchronization of reaction-diffusion neural networks under random packet losses via event-triggered sampled-data control
QDL-CMFD: A Quality-independent and deep Learning-based Copy-Move image forgery detection method
Uncertain canonical correlation analysis for multi-view feature extraction from uncertain data streams
Leader-follower consensus control for a class of nonlinear multi-agent systems using dynamical neural networks
Multiplicative update rules for accelerating deep learning training and increasing robustness
One improvement to two-dimensional locality preserving projection method for use with face recognition
Metrics to guide a multi-objective evolutionary algorithm for ordinal classification
BYY harmony learning of t-mixtures with the application to image segmentation based on contourlet texture features
Enhancing risk-adjusted performance of stock market intraday trading with Neuro-Fuzzy systems
Citywide road-network traffic monitoring using large-scale mobile signaling data
Object segmentation using maximum neural networks for the gesture recognition system
Simultaneous balancing and trajectory tracking control for two-wheeled inverted pendulum vehicles: A composite control approach
Deep learning in ophthalmic image analysis: A task-driven review of segmentation, diagnosis, and progress prediction
Curvelet Support Value Filters (CSVFs) for image super-resolution
L-neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning
Emerging motor behaviors: Learning joint coordination in articulated mobile robots
Semi-supervised learning combining transductive support vector machine with active learning
Automatic detection of HFOs based on singular value decomposition and improved fuzzy c -means clustering for localization of seizure onset zones
Accurate segmentation of touching cells in multi-channel microscopy images with geodesic distance based clustering
A new approach to optimal design of digital fractional-order PI λ D μ controller
On the issue of separability for problem decomposition in cooperative neuro-evolution
Rapid rib lesion diagnosis based on improved YOLOv8 and Bytetrack algorithms enhanced multi-planar reconstruction
A new Mumford-Shah total variation minimization based model for sparse-view x-ray computed tomography image reconstruction
TedNet: A Pytorch toolkit for tensor decomposition networks
Enhancing real-world adversarial patches through 3D modeling of complex target scenes
Activity recognition in smart homes with self verification of assignments
Two neural dynamics approaches for computing system of time-varying nonlinear equations
A spatially enhanced network with camera-lidar fusion for 3D semantic segmentation
Secure hash function based on neural network
Underwater visual tracking with a large scale dataset and image enhancement
Sparse classification using Group Matching Pursuit
Overcoming the challenges of multi-modal medical image sharing: A novel data distillation strategy via contrastive learning
MFD-CANet: An intelligent identification model for thunderstorm wind gust via multidimensional feature decoupling and spatiotemporal cross-attention
An overall-regional competitive self-organizing map neural network for the Euclidean traveling salesman problem
Resolution adaptive feature extracting and fusing framework for person re-identification
The survey and meta-analysis of the attacks, transgressions, countermeasures and security aspects common to the Cloud, Edge and IoT
A novel hybrid algorithm for creating self-organizing fuzzy neural networks
Cross-modality online distillation for multi-view action recognition
Modular neural networks with Hebbian learning rule
Heterogeneous federated semantic segmentation
Advances in extreme learning machines (ELM2010)
Nussbaum gain adaptive neural control for stochastic pure-feedback nonlinear time-delay systems with full-state constraints
Optimal topology for consensus of heterogeneous multi-agent systems
Optimal echo state network parameters based on behavioural spaces
Cross-domain facial expression recognition via an intra-category common feature and inter-category Distinction feature fusion network
A probabilistic model of active learning with multiple noisy oracles
A fast and robust model selection algorithm for multi-input multi-output support vector machine
Open-world story generation with structured knowledge enhancement: A comprehensive survey
Kernelized gradient descent method for learning from demonstration
Image super-resolution using a dilated convolutional neural network
Multi-turn dialogue comprehension from a topic-aware perspective
Layered isolation forest: A multi-level subspace algorithm for improving isolation forest
Wavelet packet energy, Tsallis entropy and statistical parameterization for support vector-based and neural-based classification of mammographic regions
Face identification with second-order pooling in single-layer networks
Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead
Subset based deep learning for RGB-D object recognition
View-Channel Mixer Network for Double Incomplete Multi-View Multi-Label learning
A new automatic mass detection method for breast cancer with false positive reduction
A data-efficient deep learning approach for deployable multimodal social robots
Two-step image dehazing with intra-domain and inter-domain adaptation
A deep learning approach for solving linear programming problems
Reliable observer-based H ∞ control for discrete-time fuzzy systems with time-varying delays and stochastic actuator faults via scaled small gain theorem
RGB×D: Learning depth-weighted RGB patches for RGB-D indoor semantic segmentation
Efficient unsupervised variational Bayesian image reconstruction using a sparse gradient prior
Person-independent eye gaze prediction from eye images using patch-based features
WeVoS-ViSOM: An ensemble summarization algorithm for enhanced data visualization
Inversion-based nonlinear adaptation of noisy acoustic parameters for a neural/HMM speech recognizer
Adaptive NN tracking control with prespecified accuracy for a class of uncertain periodically time-varying and nonlinearly parameterized switching systems
On pth moment exponential stability of stochastic Cohen-Grossberg neural networks with time-varying delays
An artificial neural network approach to automatic speech processing
A PMJ-inspired cognitive framework for natural scene categorization in line drawings
A novel tongue segmentation method based on improved U-Net
End-to-end aspect-based sentiment analysis with hierarchical multi-task learning
A comparative study of language transformers for video question answering
Robust adaptive multiple models based fuzzy control of nonlinear systems
Reward shaping in reinforcement learning for robotic hand manipulation
Distance metric learning for recognizing low-resolution iris images
TMLNet: Triad Multitask Learning Network for multiobjective based change detection
A deep reinforcement learning based distributed multi-UAV dynamic area coverage algorithm for complex environment
Context-aware colorization of gray-scale images utilizing a cycle-consistent generative adversarial network architecture
Machine learning applications for urban photovoltaic potential estimation: A survey
STBNN: Hardware-friendly spatio-temporal binary neural network with high pattern recognition accuracy
Combining neural gas and learning vector quantization for cursive character recognition
Unseen image generating domain-free networks for generalized zero-shot learning
B 2 FSE framework for high dimensional imbalanced data: A case study for drug toxicity prediction
Detecting CA1 short-term plasticity variations associated with changes in stimulus intensity and extracellular medium composition
Conv-inheritance: A hardware-efficient method to compress convolutional neural networks for edge applications
A Bayesian decision approach to evaluate local and contextual information in spike trains
Forecasting models for interval-valued time series
Wave2Vec: Deep representation learning for clinical temporal data
Visual quality recognition of nonwovens using generalized Gaussian density model and robust Bayesian neural network
Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy
Resolution-invariant coding for continuous image super-resolution
A duet of perception and reasoning: CLIP and LLM brainstorming for scene text recognition
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data
Latent tree models for rounding in spectral clustering
A text guided multi-task learning network for multimodal sentiment analysis
Direct associative reinforcement learning methods for dynamic systems control
A study on combining dynamic selection and data preprocessing for imbalance learning
PDAViT: Pyramid dual-attention vision transformer
A parameterized fuzzy adaptive K-SVD approach for the multi-classes study of pursuit algorithms
FRConv-based lightweight feature reconstruction network for photovoltaic cell defect detection
Existence and global exponential stability of almost periodic solutions to Cohen-Grossberg neural networks with distributed delays on time scales
Neural response profile design: Reducing epileptogenic activity by modifying neuron responses to synchronized input using novel potassium channels obtained by parameter search optimization
Improving abstractive summarization based on dynamic residual network with reinforce dependency
Energy balance and synchronization of the cross-ring photosensitive neural network
Clustering by defining and merging candidates of cluster centers via independence and affinity
NEW: A generic learning model for tie strength prediction in networks
Quality assessment methodology based on machine learning with small datasets: Industrial castings defects
Sub-pattern bilinear model and its application in pose estimation of work-pieces
Multi-level contrastive reasoning over knowledge graphs for fault diagnosis of confounding cases
Dstsa-gcn: Advancing skeleton-based gesture recognition with semantic-aware spatio-temporal topology modeling
Symbolic time-series analysis of neural data
Adaptive event-triggered state estimation for a class of stochastic complex networks subject to coding-decoding schemes and missing measurements
A neurocomputing framework: From methodologies to application
A novel approach for optimization of correlated multiple responses based on desirability function and fuzzy logics
Design and performance of a prototype analog neural computer
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation
Meta-learning approaches to selecting time series models
Fuzzy regional pole placement based on fuzzy Lyapunov functions
Enhancing pseudo label quality for pedestrian and cyclist in weakly supervised 3D object detection
Fractional-order convolutional neural networks with population extremal optimization
Boosting confidence in class-incremental learning via discriminative local feature enhancement
Finite-time lag synchronization of time-varying delayed complex networks via periodically intermittent control and sliding mode control
Ordinal extreme learning machine
Cascaded hourglass feature fusing network for saliency detection
A transductive graphical model for single image super-resolution
Single-shot phase-shifting composition fringe projection profilometry by multi-attention fringe restoration network