yusuke1997/dblp-id-title huggingface dataset:
GCGP-YOLO: Global-Local and Channel Grouping Perception Network for Small Object Detection based on YOLOv8
Adaptive neural networks control of drug dosage regimens in cancer chemotherapy
Analyzing Data Augmentation Methods for Convolutional Neural Network-based Brain-Computer Interfaces
Reliable Local Explanations for Machine Listening
Dynamic neural network-based Pulsed Plasma Thruster (PPT) fault detection and isolation for the attitude control system of a satellite
A Novel Continuous Peephole LSTM with Neural Controlled Differential Equations for Timely Financial Risk Prediction
A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning
Spin based neuron-synapse module for ultra low power programmable computational networks
Toward Application of Continuous Power Forecasts in a Regional Flexibility Market
Sampling + reweighting: Boosting the performance of AdaBoost on imbalanced datasets
Toward constructive methods for sigmoidal neural networks - function approximation in engineering mechanics applications
PIONM: A Generalized Approach to Solving Density-Constrained Mean-Field Games Equilibrium under Modified Boundary Conditions
Enhanced Neural Architecture Search with Multi-Dimensional Curriculum Learning for Defect Detection
Hermes: An Optimization of HyperLogLog Counting in real-time data processing
Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters
GCGAN: Generative Adversarial Nets with Graph CNN for Network-Scale Traffic Prediction
A retinomorphic VLSI smart sensor for invariant geometric object recognition
On learning a function of perceptrons
Pitch estimation using non-negative matrix factorization
The effect of normal adult aging on standard PCA face recognition accuracy rates
An insect brain computational model inspired by Drosophila melanogaster: Architecture description
Dynamic Edge Caching via Online Meta-RL
A new structure of large-neighborhood cellular nonlinear network (LN-CNN)
Object categorization using self-organization over visual appearance
Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders
Optical hardware backpropagation neural network
Neural Networks, Fuzzy System, and Linear Models in Forecasting Exchange Rates: Comparison and Case Studies
TEH-GCN: Topic-Event Based Hierarchical Graph Convolutional Networks for Rumor Detection
Amplitude and permutation indeterminacies in frequency domain convolved ICA
Using Self-Attention LSTMs to Enhance Observations in Goal Recognition
Adversarial Examples are Misaligned in Diffusion Model Manifolds
Heteroassociative Mapping with Self-Organizing Maps for Probabilistic Multi-output Prediction
Application Inference using Machine Learning based Side Channel Analysis
Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction
Effect of associative rules on the dynamics of conceptual combination in a neurodynamical model
A learning rule in the Chebyshev norm for multilayer perceptrons
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks
Possibilities and limitations of decentralised traffic control systems
Latent space decomposition into task-specific and domain-specific subspaces for domain adaptation
Learning Modality-Complementary and Eliminating-Redundancy Representations with Multi-Task Learning for Multimodal Sentiment Analysis
A Genetic Approach for Linear-Quadratic Channel Identification With Usual Communication Inputs
C2F-CFN: Coarse-to-Fine ClothFlow Network for High-Fidelity Virtual Try-On
A Structure Trainable Neural Network with Embedded Gating Units and Its Learning Algorithm
Dynamic learning rate (ηD) for recurrent high order neural observer (RHONO): Anaerobic process application
A Gaussian Process-based Self-Organizing Incremental Neural Network
Design of neural stabilizing controller for nonlinear systems via Lyapunov's direct method
Biologically plausible connectionist prediction of natural language thematic relations
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks
Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator
Researching on combining boosting ensembles
Electrotonic effects on spike response model dynamics
HiGATA: Hierarchy-aware Graph Attention Networks Enhanced by Topological Analysis for Hierarchical Multi-Label Text Classification
Magnetic resonance estimation of longitudinal relaxation time (T1) in spoiled gradient echo using an adaptive neural network
3D Memristor Crossbar Architecture for a Multicore Neuromorphic System
Multimodal Chinese Event Extraction on Text and Audio
Comparison of Artificial Neural Network Architectures and Training Algorithms for Solving the Knight's Tours
Image segmentation based on local spectral histograms and linear regression
Natural image compression using an extended non-negative sparse coding neural network technique
Neural computing for data recovery
Modeling the effects of neuromodulation on internal brain areas: Serotonin and dopamine
Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach
Evaluating Brain Regions That Characterize Attention Deficit/Hyperactivity Disorder Based on SPECT Images and Machine Learning Models
Decimated input ensembles for improved generalization
Gluing Neural Networks Symbolically Through Hyperdimensional Computing
Context dependent pattern recognition - A framework for hybrid architectures bridging chaotic neural networks based on Recursive Processing Elements and symbolic information
A new stock price prediction method based on pattern classification
Generative Feature Replay with Orthogonal Weight Modification for Continual Learning
Analysis of the Performance of Ensemble of Perceptrons
Curved Gabor Projection Entropy for Face Recognition
Analysis of inter-spike interval characteristics of piecewise constant chaotic spiking oscillators
A Neural Network Model for Maximizing Prediction Accuracy in Haplotype Tagging SNP Selection
Extreme Learning Machine based bacterial protein subcellular localization prediction
DLST: A Novel Framework for Market Risk Stress Testing via EXformer
Multi-output Deep-Supervised Classifier Chains for Plant Pathology
Feature selection based on kernel discriminant analysis for multi-class problems
ICAF: Iterative Contrastive Alignment Framework for Multimodal Abstractive Summarization
Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture
Graph-based features for supervised link prediction
An Application of Artificial Neural Networks in Ovarian Cancer Early Detection
Shared Latent Space by Both Languages for Non-Autoregressive Neural Machine Translation
Signal detection of MIMO-OFDM system based on auto encoder and extreme learning machine
GLCNet: Global-Local Complementary Network for 3D Shape Recognition
In Your Face: Sentiment Analysis of Metaphor with Facial Expressive Features
Novel highly nonlinear memristive circuit elements for neural networks
Trotting gait planning for a quadruped robot with high payload walking on irregular terrain
Support vector classifiers via gradient systems with discontinuous righthand sides
A novel constraint satisfaction problem solver for self-configuring distributed systems with highly dynamic behavior
Weight exchange in distributed learning
Convolutional Self-Attention Network with Disentangled Intents for Course Sequence Recommendation
Neuroinformatics: development of shared neuroscience databases and tools at the Australian National Neuroscience Facility
Accuracy of joint entropy and mutual information estimates
Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems
L 3 -SVM: a lifelong learning method for SVM
Community-Aware Federated Video Summarization
Power Transformers Diagnosis Using Neural Networks
An advantage of chaotic neural dynamics
Extension of neuron machine neurocomputing architecture for spiking neural networks
A new intelligent digital right management technique for E-learning content
Metastability in the brain
Automated Measurement of Brainstem-Vermis and Brainstem-Tentorium Angles in Fetal MRI Images Based on Landmark Detection
Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection
DPSNet: A Dual-Path Hazy Object Detection Network with Dehazing Supervision
Latent Context Based Soft Actor-Critic
Efficient Optimization of Echo State Networks for Time Series Datasets
Tactile sequence based object categorization: A Bag of features modeled by Linear Dynamic System with Symmetric Transition Matrix
Bridging Privacy Preservation and Optimization in Heterogeneous Decentralized Learning: Regularization Tuning and Model Pruning
Video-based Driver Action Recognition via Spatial-Temporal and Motion Deep Learning
Neural network approach for user activity monitoring in computer networks
Mental Health Prediction through Text Chat Conversations
Optimization of chemical processes applying surrogate models for phase equilibrium calculations
Towards Predicting Dengue Fever Rates Using Convolutional Neural Networks and Street-Level Images
Connectionist nonlinear over-relaxation
Efficient Selection Based on Integrated Information for Dialogue State Tracking
Novelty Detection in Passive Sonar Systems using Stacked AutoEncoders
Integrating convolutional neural networks into a sparse distributed representation model based on mammalian cortical learning
Bioinspired Contrast Vision Computation for Robust Motion Estimation Against Natural Signals
Confidence and prediction intervals for neural network ensembles
Image Synthesis Using Conditional GANs for Selective Laser Melting Additive Manufacturing
Mass spectral search method using the neural network approach
Adaptive Feature Fusion Network for Camouflaged Object Detection
Contrastive pre-training of Soft-Clustering GCN for diagnosing Alzheimer's disease
Augmented Behavioral Cloning from Observation
Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration
Visual Navigation with Actor-Critic Deep Reinforcement Learning
Developing Smart Micromachined Transducers Using Feed-Forward Neural Networks: A System Identification and Control Perspective
YOLO-ASC: You Only Look Once And See Contours
A Clustering Method with Graph Maximum Decoding Information
Dual-Domain Discriminative Learning with Joint Consistency for Domain Adaptation
How to confine errors in negative correlation learning
A low-power, high-resolution WTA utilizing translinear-loop pre-amplifier
LipARELU: ARELU Networks aided by Lipschitz Acceleration
Malaria Parasite Detection in Microscopic Blood Smear Images Using Deep Learning Techniques
LGEFE: Effective Local-Global-External Feature Extraction for 3D Point Cloud Classification
Using neural networks to predict abnormal returns of quarterly earnings
Nonparametric neural topic modeling for customer insight extraction about the tire industry
Robust Controller Design Based on a Combination of Genetic Algorithms and Competitive Learning
Learning deep representations with diode loss for quantization-based similarity search
A computational model of visual attention
Unsupervised low-light Image Enhancement with Quality-Task-Perception Loss
A Unified Multi-Scenario Framework for Schema Matching based on LLM
Adaptive Neural Filters with Fixed Weights
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips
Neural network and tree automaton for seismic pattern recognition
Time dependent neural network models for detecting changes of state in Earth and planetary processes
En-VStegNET: Video Steganography using spatio-temporal feature enhancement with 3D-CNN and Hourglass
Advancing Fine-Grained Few-Shot Learning via Human-Centric Visual Cognition
A design of the object detection system using the RGA
Regression-forests-based estimation of blood pressure using the pulse transit time obtained by facial photoplethysmogram
Joint Dynamic Role Switching Scheme and Cooperative Task Offloading Optimization for UAV Swarm-Enabled Edge Computing
Distantly-Supervised Neural Relation Extraction with Side Information using BERT
Relational topological clustering
Comparison of artificial neural network and Bayesian belief network in a computer-assisted diagnosis scheme for mammography
Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection
Privacy Enhancing Federated Learning for Predicting Energy Consumption in Smart Buildings
PointNet: A 3D Convolutional Neural Network for real-time object class recognition
Quantum Correlation Revealed by Bell State for Classification Tasks
MAS-DEWS: A multi-agent system for predicting Africa's drought
A Novel Confidence Score Exploiting Attacks on Classification Trees and Random Forest Classifiers
Spectral Batch Normalization: Normalization in the Frequency Domain
Reliable determination of sleep versus wake from heart rate variability using neural networks
Phase transitions in a probabilistic cellular neural network model having local and remote connections
Explainable Sequential Anomaly Detection via Prototypes
Adversarial Vulnerability in Doppler-based Human Activity Recognition
FedSIT: Efficient Federated Fine-Tuning with Model Splitting and Importance-Based Tuning
Advances on criteria for biological plausibility in artificial neural networks: Think of learning processes
Analysis of the Dynamic Oscillatory Process of a Neural-type Cell (NTC) and Its Input Voltage Bounds
ADKGN: An Attentive Dynamic Knowledge Graph Network for Sequential Recommendation
Radial basis function classification of impulse radar waveforms
Kernel canonical variate analysis based management system for monitoring and diagnosing smart homes
New memory model for humanoid robots - introduction of co-associative memory using mutually coupled chaotic neural networks
Brewing the first ever automatic memory management utility for SpiNNaker: Real-time garbage collection for STDP simulations
Reaction-diffusion based model to develop binocular simple cells in visual cortex along with cortical maps
Maximum Entropy Baseline for Integrated Gradients
Convolutional Neural Network Architecture Design by the Tree Growth Algorithm Framework
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data
Dynamics of feedback neural nets with unsupervised learning
Nonlinear Queuing Model for Dynamic Synapse with Multiple Transmitter Pools
Hierarchical K-means Clustering Using New Support Vector Machines for Multi-class Classification
A Supervised Approach to Classify the Status of Bone Mineral Density in Post-Menopausal Women through Static and Dynamic Baropodometry
Softprop: softmax neural network backpropagation learning
A hippocampal model for episodic memory using neurogenesis and asymmetric STDP
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Biologically Inspired KFLANN Place Fields for Robot Localization
EHSF: Enhanced Hybrid Supervision Framework for surface-defect detection
Sequential Inductive Transfer for Coronary Artery Disease Diagnosis
A Scalable GPT-2 Inference Hardware Architecture on FPGA
Real-time state estimation on micro-grids
Finding patterns in labeled graphs using spectrum feature vectors in a SOM network
A Novel Method of Modulation Classification for Digital Signals
On approximating networks centrality measures via neural learning algorithms
Wavelet transform and adaptive arithmetic coding techniques for EEG lossy compression
Communication Channel Equalization Using Complex-Valued Minimal Radial Basis Function Neural Network
N2Grid: neural networks in the grid
A modified dynamic non-singleton fuzzy logic system for nonlinear modeling
Neural Networks Applied in the Prediction of Top Oil Temperature of Transformer
Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning
Automated Graph-level Passes for TinyML Fault Tolerance
Bagged ensembles of Support Vector Machines for gene expression data analysis
Cryptocurrencies for Smart Territories: an exploratory study
Divide and Conquer Strategies for MLP Training
International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023
Kernel machines for malware classification and similarity analysis
SlideMLP: A Pure Multi-layer Perceptrons Method For Medical Image Segmentation
Distribution-based Adversarial Filter Feature Selection against Evasion Attack
Topographic independent component analysis for fMRI signal detection
Graph Intention Neural Network for Knowledge Graph Reasoning
The modulation of synchronization by tuning functions and its effect on multi-sensory perception
Multi-label Feature Selection Method via Maximizing Correlation-based Criterion with Mutation Binary Bat Algorithm
Graphical models for brain connectivity from functional imaging data
An Efficient Frequency Domain Separation Network for Paired and Unpaired Image Super-Resolution
Data extraction from associative matrix based on selective learning system
Benchmarking multi-task learning in predictive models for drug discovery
Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
On using an associative memory for improving digital color images: color characterization, enhancement, and color balancing
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language
Enhancing Alignment and Uniformity of Contrastive Learning for Knowledge-based Recommendation
Extreme learning machine for multi-categories classification applications
A Full-Parallel Digital Implementation for Pre-Trained NNs
Domain-Independent Disperse and Pick method for Robotic Grasping
An Auto-Associative Neural Network for Information Retrieval
TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval
Nonlinear dictionary learning based deep neural networks
Shepard Interpolation Neural Networks with K-Means: A Shallow Learning Method for Time Series Classification
Competitive learning mechanisms for scalable, incremental and balanced clustering of streaming texts
Selective attention for robust speech recognition in noisy environments
Neural network based denoised methods for retinal fundus images and MRI brain images
Learning using hidden information (Learning with teacher)
Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation
Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion
Adaptive training schema in Mamdani-type neuro-fuzzy models for data-analysis in dynamic system forecasting
Neural network models for teaching multiplication table in primary school
DOCC10: Open access dataset of marine mammal transient studies and end-to-end CNN classification
Q-Learning with Dynamic Rewards Table Applied to the SONET/SDH Ring Problem
Online Testing in Machine Learning Approach for Fall Detection
Virtual Experiments on ArUco and AprilTag Systems Comparison for Fiducial Marker Rotation Resistance under Noisy Sensory Data
SH-RAG: A Syntax-Based Hierarchical Retrieval-Augmented Generation Framework for Handling Syntactic Complexity in Literary Machine Translation
Multi-Modal Meta Continual Learning
A multiscale image compressor with RBFNN and Discrete Wavelet decomposition
Learning a Sparse Neural Network using IHT
Synchronization analysis for complex networks with interval delay via non-fragile pinning control
A VLSI friendly algorithm for support vector machines
Online metric learning for an adaptation to confidence drift
CoGNet: Cooperative Graph Neural Networks
Self-organising temporal pooling
Adaptive tangent distances in generalized learning vector quantization for transformation and distortion invariant classification learning
Combinatorial representation of color in visual cortex
Fault diagnosis of five-phase fault-tolerant permanent-magnet motor based on principal component neural network
Leveraging Node Attributes for Link Prediction via Meta-path Based Proximity
Document-level Event Factuality Identification using ChatGPT via Cross-Lingual and Syntactic Data Augmentation
Modeling a system for monitoring an object using artificial neural networks and reinforcement learning
Si-GCN: Structure-induced Graph Convolution Network for Skeleton-based Action Recognition
Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem
U-Net and Active Contour Methods for Brain Tumour Segmentation and Visualization
A Bio-Inspired and Solely Vision-Based Model for Autonomous Navigation
What Inductive Bias Gives Good Neural Network Training Performance?
Diverse Machine Translation with Translation Memory
Bagging Down-Weights Leverage Points
LeGalFormer: A Graph Representation Learning and Transformer-based Approach for Legal Similar Case Retrieval
Memristor-based synapse design and a case study in reconfigurable systems
Extracting information in a graded manner from a neural-network system with continuous attractors
Accelerating Deep Continuous Reinforcement Learning through Task Simplification
Implementation of memristive neural networks with spike-rate-dependent plasticity synapses
Benchmark Datasets for Stochastic Petri Net Learning
Extreme learning machines for intrusion detection
Exponential Transitions: Telltale Sign of Consistency in Learning Systems
A new distance metric for unsupervised learning of categorical data
Analyzing weight distribution of neural networks
LD2-YOLO: A Defect Detection Method for Automotive Composite Leather
Gradient-Zhang Neural Dynamics Models Computing Pseudoinverses of Time-Varying Matrices via ZeaD and Extrapolation Formulas
Regularity properties in pulse transmission networks
SILK-BPR: Identify Implicit Friends with Self-guided Walking for Social Recommendation
Transformer-Based Few-Shot Object Detection with Enhanced Fine-Tuning Stability
Rumor Detection with Adversarial Training and Supervised Contrastive Learning
A Wrapper for Projection Pursuit Learning
Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning
Variational methods for conditional multimodal deep learning
Automatic Transpiler that Efficiently Converts Digital Circuits to a Neural Network Representation
Recognition of patterns of optimal diel vertical migration of zooplankton using neural networks
Initializing Complex-Valued Neural Networks from their Pretrained Real-Valued Counterparts
Symbol grounding transfer with hybrid self-organizing/supervised neural networks
Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification
Building "invertible" fractals: Introduction to Context-Dependant Iterated Function Systems
Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN)
A canonical coordinate decomposition network
A retraining neural network technique for glass manufacturing data forecasting
Speech Emotion Recognition With Early Visual Cross-modal Enhancement Using Spiking Neural Networks
Concept drift detector based on centroid distance analysis
Performing Neuro-Like Computation Through Attractor Networks with Nodes with Rich Dynamics
Adversarial Training for Robust Insider Threat Detection
A higher-order fuzzy neural network for modeling financial time series
EARP: Integration with Entity Attribute and Relation Path for Event Knowledge Graph Representation Learning
Option pricing and trading with artificial neural networks and advanced parametric models with implied parameters
Fuzzy-Based Ensemble Method for Robust Concept Drift Detection in Multivariate Time Series
A new discriminant analysis for non-normally distributed data based on datawise formulation of scatter matrices
ContextBert: Enhanced Implicit Sentiment Analysis Using Implicit-sentiment-query Attention
Learning skills from play: Artificial curiosity on a Katana robot arm
A learning algorithm for a hybrid nonlinear predictor applied to noisy nonlinear time series
Using genetic algorithms to select and create features for pattern classification