yusuke1997/dblp-id-title huggingface dataset:
Regularized Training of Convolutional Autoencoders using the Rényi-Stratonovich Value of Information
Design of a High-Speed and Low-Power Threshold Adjustment Unit for Battery-Free Edge Devices
Applying Large Language Models with Active Learning and Ensemble Learning for Sentiment Recognition in Children's Reading
A sensory network for perception-based robotics using neural networks
Generalization Improvement in Multi-Objective Learning
From Data Integrity to Global ModeI Integrity for Decentralized Federated Learning: A Blockchain-based Approach
Using a Recurrent Kernel Learning Machine for Small-Sample Image Classification
A neural network based matrix inversion algorithm
Sliding mode backpropagation: control theory applied to neural network learning
Exploring automatic liver tumor segmentation using deep learning
Class imbalance robust incremental LPSVM for data streams learning
Effects of relevant and irrelevant primes on idea generation: A computational model
Semi-Supervised Model Selection Based on Cross-Validation
Personalizing Session-based Recommendation with Dual Attentive Neural Network
Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks
MTCD-Model: A Two-Layer Model for Malicious Traffic Classification and Detection Based on Hierarchical Feature Learning
Combined subspace method using global and local features for face recognition
Decoupling control for five-phase fault-tolerant permanent-magnet motor by using SVM inverse system method
MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption
Automatic Knowledge Acquisition: Recognizing Music Notation with Methods of Centroids and Classifications Trees
An autonomous online malicious spam email detection system using extended RBF network
Haphazard Inputs as Images in Online Learning
Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics
An Adaptive Resonance Theory-based Neural Network for Autonomous Learning via Iterative Knowledge Redescription
Dynamics of large random recurrent neural networks: oscillations of 2-population model
Attention map feature fusion network for Zero-Shot Sketch-based Image Retrieval
Using neural networks as an aid for solving engineering problems
Contour representation and shape matching based on mechanism of visual cortex
IKG-Agent: Intent-driven Knowledge Graph Agent for Adaptive Workflow Reasoning
A prior-free encode-decode change detection test to inspect datastreams for concept drift
Analog Dopplegangers: Twinning with Deep Continuous-Time Recurrent Neural Networks
Implementation and comparison of SVM-based Multi-Task Learning methods
Sparse approximation on energy efficient hardware
Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems
Remembering Transformer for Continual Learning
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization
A new N-parallel updating method of the Hopfield-type neural network for N-queens problem
Cerebral cortical neuronal mechanisms of reaching movements
ANNs and GAs for Predictive Controlling of Water Supply Networks
Improving the Robustness of Noisy MFCC Features Using Minimal Recurrent Neural Network
SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging
Safety-based Reinforcement Learning Longitudinal Decision for Autonomous Driving in Crosswalk Scenarios
A threshold factor approach method for CFAR detector based on stochastic particle swarm optimization
A Dual-Encoder framework for Enhancing Driving Behavior and Mission Profiling Characterization
MRLF: Multimodal Representation Learning for Tabular Data Classification
Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments
A Deep Learning Approach to Anomaly Detection in Nuclear Reactors
An Experimental Perspective on Sampling Methods for Imbalanced Learning From Financial Databases
SERA: Selectively recursive approach towards nonstationary imbalanced stream data mining
Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction
Breaking Walls, Building Bridges: A Language-Adaptive Framework for Multilingual Sequential Recommendation
Handwritten Chinese Character Generation via Embedding, Decomposition and Discrimination
Hierarchical MMC Networks as a manipulable body model
Fuzzy Deep Q-learning Task Offloading in Delay Constrained Vehicular Fog Computing
Learning features with structure-adapting multi-view exponential family harmoniums
Stability analysis of nonlinear time-delay system with delayed impulsive effects
Design of the first neuronal connectomics challenge: From imaging to connectivity
Fast Reinforcement Learning with Incremental Gaussian Mixture Models
An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models
Training Dynamics of a 1.7B LLaMa Model: A Data-Efficient Approach
Enabling bio-plausible multi-level STDP using CMOS neurons with dendrites and bistable RRAMs
Meta-GraphKAN:Few-Shot Graph Kolmogorov Arnold learning Networks for Molecular Property Prediction
EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning
Outlier Detection by Privacy-Preserving Ensemble Decision Tree U sing Homomorphic Encryption
Classification of micro-array gene expression data using neural networks
Multi-Dimensional Attention on Cost Volume for Stereo Matching
A comparative study of artificial neural network techniques for river stage forecasting
Unsupervised clustering based on a competitive cost function
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008
A neural phase rotator for PAPR reduction of PCC-OFDM signal
Challenges in visual parking and how a developmental network approaches the problem
Machine Learning Models for Road Surface and Friction Estimation using Front-Camera Images
Image compression based on growing hierarchical Self-Organizing Maps
Feature subset selection for support vector machines by incremental regularized risk minimization
Combining Multiple Artificial Neural Networks Using Random Committee to Decide upon Electrical Disturbance Classification
Solving the local minimum and flat-spot problem by modifying wrong outputs for feed-forward neural networks
Insect inspired unsupervised learning for tactic and phobic behavior enhancement in a hybrid robot
Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble
Intelligent Reservoir Generation for Liquid State Machines using Evolutionary Optimization
SMRU-Lite: Efficient Low-Complexity Speech Enhancement Model with Uncertainty Estimation
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition
Efficient representation ranking for transfer learning
Distance Estimation Using a Bio-Inspired Optical Flow Strategy Applied to Neuro-Robotics
Interactive image segmentation using particle competition and cooperation
Boosting fairness for 3D face reconstruction
Enhance Chest X-ray Classification with Multi-image Fusion and Pseudo-3D Reconstruction
Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations
Certified machine learning: A posteriori error estimation for physics-informed neural networks
k-NN classifiers: Investigating the k=k(n) relationship
SGCD: Subgroup Contribution Decomposition for Multi-Agent Reinforcement Learning
Multi-prototype local density-based hierarchical clustering
GPU simulator of multilayer neural network based on multi-valued neurons
Personalizing Dialog Policy in Health Guidance via Model-based Multitask Reinforcement Learning
Training Deepfake Detection Model from Photos with Face Mask
Various decomposition methods applied to face recognition
Nearest Neighbour Search using binary neural networks
Early stage fire detection using reliable metal oxide gas sensors and artificial neural networks
Cross-project Defect Prediction via ASTToken2Vec and BLSTM-based Neural Network
Dynamics of a discrete-time bidirectional ring of neurons with delay
Competitive Decomposition of Input Space in a Competitive Modular Multinet System
Query based hybrid learning models for adaptively adjusting locality
Few-Shot Medical Image Segmentation via Multi-Prototype Synergy
Maximizing pattern separation in discretizing continuous features for classification purposes
Objective cost-sensitive-boosting-WELM for handling multi class imbalance problem
Complexity measures of supervised classifications tasks: A case study for cancer gene expression data
A neuro-fuzzy system for prediction of pulp digester K-number
AI-Driven Detection and Mitigation of Backdoor Data Infiltration Among IoT Networks
HarD-CASDE: Segmentation And Lineage Tracking of HeLa Cells
Protecting multimedia authenticity with ICA vaccination of digital bacteria watermarks
A hybrid supervised ANN for classification and data visualization
SEMFD: Summary-enhanced Multimodal Fake News Detection
Automatic detection of bike-riders without helmet using surveillance videos in real-time
Detecting and Removing Adversarial Patches using Frequency Signatures
Effect of regularization term upon fault tolerant training
Adversarial Training for Uncertainty Estimation in Cross-Lingual Text Classification
Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances
MIMO SVMs for classification and regression using the geometric algebra framework
A Semantic Subgraphs Based Link Prediction Method for Heterogeneous Social Networks with Graph Attention Networks
A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks
The impact of modern FPGA architectures on neural hardware: a case study of the TOTEM neural processor
Graph Convolutional Extreme Learning Machine
Consensus Clustering With Unsupervised Representation Learning
A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space
Functional organization of the primate prefrontal cortex for memory
Audio-Visual Speech Separation with Visual Features Enhanced by Adversarial Training
Snake in Phase Domain: A Method for Boundary Detection of Objects in Phase Images
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction
Interior point based continuous methods for linear programming
Integrate-and-fire model with periodic inputs
Automatic Topic Labeling model with Paired-Attention based on Pre-trained Deep Neural Network
On sequences of different adaptive mechanisms in non-stationary regression problems
Stability Analysis of an Unsupervised Competitive Neural Network
A deep quasi-linear kernel composition method for support vector machines
UUVSim: Intelligent Modular Simulation Platform for Unmanned Underwater Vehicle Learning
Multi-Bernoulli filter for group object tracking and its Gaussian-Wishart implementation
AI-Enhanced Interactive Storytelling for Cultural Heritage: A Prototype System for Dunhuang Murals
Robust Energy-Water Management System with Prediction Interval Based on Deep Learning
Multimodal Fusion Strategies for Emotion Recognition
IFENet: SAR Imaging on the Missing Echo via Image Formation and Enhance Network
Kolmogorov-Arnold Network-Enhanced Cross-Modal Alignment for Textual Attribute Graph Reasoning with Large Language Models
Collaborative filtering via co-factorization of individuals and groups
Tactical task allocation and resource management in non-stationary swarm dynamics
Neural network-based load forecasting and error implication for short-term horizon
Centrality clustering-based sampling for big data visualization
Quantum neural network based surface EMG signal filtering for control of robotic hand
Emergence of Direction Selectivity and Motion Strength in Dot Motion Task Through Deep Reinforcement Learning Networks
Predicting behaviors with minimal units elucidates neural coding
Fed-batch dynamic optimization using generalized dual heuristic programming
MHRNet: A Multi-stage Image Deblurring Approach with High-Resolution Representation Learning
A method for generating digital signals in response to novel inputs
Temporal Fusion Pointer network-based Reinforcement Learning algorithm for Multi-Objective Workflow Scheduling in the cloud
ERF: Generating Hierarchical Editing Audio-Driven Talking Head Using Dynamic Neural Radiance Fields
Importance-Aware Spatial-Temporal representation Learning for Gait Recognition
Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks
Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries
A non-linear state space frequency estimator for three-phase power systems
Deep self-organizing reservoir computing model for visual object recognition
Automatic Parameter Optimisation Framework for ECoS-based Models
Dictionary learning with equiprobable matching pursuit
Learning Frequency-Aware Representation For Low-light Image Enhancement
FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data
Multi-scale Feature Learning with Graph Attention Network for Face Forgery Detection
On stable learning of block-diagonal recurrent neural networks, Part 1: the RENNCOM algorithm
A robust incremental principal component analysis for feature extraction from stream data with missing values
Generation of Incompliete Test-Data usinng Bayesinan Networks
A hierarchical ensemble model for automated assessment of stroke impairment
Multimodal Vigilance Estimation with Adversarial Domain Adaptation Networks
Optimization of Geodesic Self-Organizing Map
Neuro-fuzzy fitness in a genetic algorithm for optimal fuzzy controller design
Identifying suutype specific network-Uiomarkers of breast cancer survivauility
Fine-grained Dual-space Context Analysis Network for Multimodal Emotion Recognition
Multilevel adaptive neural network architecture for implementing single-chip intelligent agents on FPGAs
Evolutionary neural network model of universal grammar
Joint Critics Mechanism: A Universal Framework for Multi-targets Visual Navigation
Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems
Distributed ARTMAP
Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP
A Multiple Kernel Machine with Incremental Learning using Sparse Representation
A 1.5V VLSI Circuit for the Co-Channel Signal Separation
Identify Potential Attacks from Simulated Log Analysis
Using HDDT to avoid instances propagation in unbalanced and evolving data streams
Speeding up fractal image compression by working in Karhunen-Loeve transform space
Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity
Adaptive dynamic programming with stable value iteration algorithm for discrete-time nonlinear systems
Spatially Constrained Location Prior for scene parsing
Siamese Network Tracker by Attention Module and Relation Detector Module
A supervised neighborhood preserving embedding for face recognition
GTDFM: A Hybrid Model for QoS Prediction Using Geographical and Textual Features
A Unified Framework of Random Feature KLMS Algorithms and Convergence Analysis
Decision Surfaces of Localized Classifiers
Hierarchical probabilistic principal component subspaces for data visualization
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks
DCP-Net: The Defect Detection Method of Industrial Product based on Dual Collaborative Paths
Generative Models from the perspective of Continual Learning
Application of computational intelligence methods to greenhouse environmental modelling
Generating binary tags for fast medical image retrieval based on convolutional nets and Radon Transform
Pre-selection of working set for SVM decomposition algorithm
Convolutional neural networks with multi-valued neurons
Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting
Guidance Net: Remote Sensing Image Dehazing with Guidance of Prompt Texture Information Embedding
IO-aware Factorization Machine for User Response Prediction
Time-User Heterogeneous Neural Interaction Network For Cyberbullying Detection
Adaptive learning algorithm for RBF Neural Networks in kernel spaces
Unexp-DIN: Unexpected Deep Interest Network for Recommendation
Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks
Homophilic and Heterophilic-Aware Sparse Graph Transformer for Financial Fraud Detection
Online organization of chaotic cell assemblies. A model for the cognitive map formation?
Continuous attractors of recurrent neural networks with complex-valued weights
Efficient Modeling of Contextual Mappings by Context-dependent Feedforward and Recurrent Neural Nets
Predicting Human Errors from Gaze and Cursor Movements
Defying Forgetting in Continual Relation Extraction via Batch Spectral Norm Regularization
Apply Feature Selection to the Integration of TCM and Western Medicine
Cooperation-based Clustering for Profit-maximizing Organizational Design
Quantifying Bowel Preparation in Wireless Capsule Endoscopy: Optimizing Latency with Structural Reparameterization in the WCEFastViT Model
Application of neural network on LTCC fine line screen printing process
Development of Multi-task Models for Emotion-Aware Gender Prediction
A Crowdsourcing Based Human-in-the-Loop Framework for Denoising UUs in Relation Extraction Tasks
A multi-view extractive text summarization approach for long scientific articles
Image Dehazing for Object Recognition using Faster RCNN
A Frequency Domain Neural Network for Fast Image Super-resolution
A Lightweight Convolutional Neural Network for Personalized Blood Pressure Estimation Based on Photoplethysmography
Configuring the stochastic Helmholtz machine for subcortical emotional learning
Towards the modeling of dissociated cortical tissue in the liquid state machine framework
EMG based elbow joint powered exoskeleton for biceps brachii strength augmentation
Designing dilation-erosion perceptrons with differential evolutionary learning for air pressure forecasting
Legal, ethical and social impact on the use of computational intelligence based systems for land border crossings
Checking extracted rules in Neural Networks
ORSA-T: Multi-View Object-Centric Scene Representation Learning with Slot Attention and Transformer
Complementary Decision Making System for Aiding Medical Image Diagnosis
Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator
Retrieval and Sorting of Scientific Documents Based on Stacked Embedding and Hybrid Attention Model
Modified cellular simultaneous recurrent networks with cellular particle swarm optimization
New experiments on ensembles of multilayer feedforward for classification problems
A Self-Supervised Learning Framework for Sequential Recommendation
GPU-based simulation of spiking neural networks with real-time performance & high accuracy
Solar Activity Forecasting by Incorporating Prior Knowledge from Nonlinear Dynamics into Neural Networks
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis
STFL: Utilizing a Semi-Supervised, Transfer-Learning, Federated-Learning Approach to Detect Phishing URL Attacks
Machine Learning and IoT for Predicting the Productivity of MRI Equipment
Predictive-spectral-spatial preprocessing for a multiclass brain-computer interface
Semi-supervised monitoring of electric load time series for unusual patterns
Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics
A Novel Contrastive Signal Generative Framework for Accurate Graph Learning
Lung nodule detection in CT images using deep convolutional neural networks
Semantic consistency for graph representation learning
Substructure-augmented Graph Transformer for Network Representation Learning
Enhancing Fault Tolerance of Radial Basis Functions
NeuroGene: integrated simulation of gene regulation, neural activity and neurodevelopment
Fault detection, identification, and reconstruction of faulty chemical gas sensors under drift conditions, using Principal Component Analysis and Multiscale-PCA
Humanoid Robotics Modeling by Dynamic Fuzzy Neural Network
Realtime Visualization of the Learning Processes in the LAPART Neural Architecture as it Controls a Simulated Autonomous Vehicle
Unsupervised Post-Tuning of Deep Neural Networks
The prediction of applying Smooth Support Vector Regression and Back Propagation Network in mutual fund performance
Deep Multi-Representation Model for Click-Through Rate Prediction
Face recognition using Support Vector Machine and multiscale directional image representation methods: A comparative study
Stock price prediction based on stock-specific and sub-industry-specific news articles
Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches
License plate location based on a dynamic PCNN scheme
Countering Disinformation by Finding Reliable Sources: a Citation-Based Approach
Capacity limits in oscillatory networks: Implications for sensory coding
Automatic Policy Decomposition through Abstract State Space Dynamic Specialization
Vocalization-based Fine-grained Prediction of Giant Panda Ovulation Time
Content-based image retrieval of Web surface defects with PicSOM
MSSP: A Multi-view Benchmark for Street Scene Perception in Assistive Navigation
Robust Watermarking in Wavelet Domain Using Rank Order and Genetic Algorithm for Image Authorization
Domain Adaptation Using Adversarial Neural Network with Correlation Alignment Loss for Household Appliance Classification
Self-supervised Learning Based on Max-tree Representation for Medical Image Segmentation
Applying computational intelligence methods to modeling and predicting common bean germination rates
Human Behavior Modeling in Speech Transcribing Process via Pretrained Speech Recognition Models
Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
Image steganography using texture features and GANs
Real-time decentralized inverse optimal neural control for a Shrimp robot
Characteristic-Aware Time-Series Representation Learning for Unsupervised Anomaly Detection
A Short Review of Deep Learning Methods for Understanding Group and Crowd Activities
A Spatial Domain Sigma-Delta Modulation via Discrete-Time Cellular Neural Networks
Towards using visual attributes to infer image sentiment of social events
Push-pull separability objective for supervised layer-wise training of neural networks
Maximum Class Boundary Criterion for supervised dimensionality reduction
Intuitive UAV Operation: A Novel Dataset and Benchmark for Multi-Distance Gesture Recognition
Multi-GPU SNN Simulation with Static Load Balancing
Graph Machine Learning for DNA Classification
Reverse Adversarial Attack To Enhance Environmental Sound Classification
SAM-AEKD: SAM-Based Knowledge Distillation with Adaptive Fusion and Edge Features for Enhancing Medical Image Segmentation
Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Omics Data
Pattern memory and acquisition based on stability of cellular neural networks
D-Man: a Distance-based Multi-channel Attention Network for ERC
Stochastic and deterministic stationarity analysis of EEG data
Towards an Artificial Technical Analysis of Financial Markets
Traffic modeling and identification using a Self-adaptive Fuzzy Inference Network
Face recognition with Locality Sensitive Discriminant Analysis based on matrix representation
Complex bilinear recurrent neural network for equalization of a digital satellite channel
Model Based on Deep Feature Extraction for Diagnosis of Alzheimer's Disease