yusuke1997/dblp-id-title huggingface dataset:
Monaural speech segregation and oscillatory correlation
Characterizing consensus in threshold Boolean networks
Bayesian belief networks for effective troubleshooting
GNG3D - A Software Tool for Mesh Optimization Based on Neural Networks
Feature ensemble learning based on sparse autoencoders for image classification
Effects of the retina-inspired light intensity encoding on color discrimination performance
Channel Hourglass Residual Network For Single Image Super-Resolution
Optimal learning rates for each pattern and neuron in gradient descent training of multilayer perceptrons
Data-driven theory refinement algorithms for bioinformatics
Mapping individual differences in cortical architecture using multi-view representation learning
An improving pruning technique with restart for the Kohonen self-organizing feature map
Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding
Combined Convolutional Neural Network for High Frequency Restoration in Acoustic Impedance Images
A Large-scale Simulation Dataset: Boost the Detection Accuracy for Special Weather Conditions
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery
LFLD: A Lightweight Facial Landmark Detector Based on Auxiliary Heatmap
FPGA implementation of pulse coupled oscillator
Empowering Multiclass Classification and Data Augmentation of Arabic News Articles Through Transformer Model
Multi-Label Learning with Local Similarity of Samples
Hierarchical learning of optimal linear representations
Online Estimation of Multiple Dynamic Graphs in Pattern Sequences
Discriminative k-means clustering
Frequency-Spatial Domain Fusion for Graph Anomaly Detection
Channel equalization for severe intersymbol interference and nonlinearity with a radial basis function neural network
Growing mechanisms and cluster identification with TurSOM
Exploring Coarse-grained Pre-guided Attention to Assist Fine-grained Attention Reinforcement Learning Agents
A neural model of the enhancement of perception caused by emotional cues
A sparse kernel representation method for image classification
Integrating feature selection and Min-Max Modular SVM for powerful ensemble
Quest for efficient option pricing prediction model using machine learning techniques
Exploring the Hysteresis Effect of Li-ion Batteries: A Machine Learning based Approach
Fault Detection in Steel-Reinforced Concrete Using Echo State Networks
Nested compression of convolutional neural networks with Tucker-2 decomposition
Linear block code decoder using neural network
Context-switching and adaptation: Brain-inspired mechanisms for handling environmental changes
Matrix-based Kernel Principal Component analysis for large-scale data set
Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions
Empirical analysis of the necessary and sufficient conditions of the echo state property
ELM Meets RAE-ELM: A hybrid intelligent model for multiple fault diagnosis and remaining useful life predication of rotating machinery
A compressive multi-kernel method for privacy-preserving machine learning
An enhanced least-squares approach for reinforcement learning
Attention-based Spatio-Temporal Graphic LSTM for EEG Emotion Recognition
DTBNet: medical image segmentation model based on dual transformer bridge
Adaptive and Scalable Reinforcement Learning Method for Multi-Site Transportation Optimization
QCA-Net: Quantum-based Channel Attention for Deep Neural Networks
Emotional state recognition from speech via soft-competition on different acoustic representations
Periodicity Association Based Contrastive Learning for Time Series Anomaly Detection
Investigating multiobjective methods in multitask classification
Leveraging Diversity-Aware Context Attention Networks for Fake News Detection on Social Platforms
IC chip of pulse-type hardware neural networks for hexapod walking MEMS micro robot
A Deep Neural Network Model for Target-based Sentiment Analysis
Shaping synaptic learning by the duration of the postsynaptic action potential
An incremental learning face recognition system for single sample per person
ASOD-Net: Arbitrary Sampling and Offset-based Detection Network for Remote Sensing Image
Bilateral Autotrading Framework for Stock Prediction
Minority SVM for linearly separable imbalanced datasets
MPN: A Multimodal Prototypical Part Network for Enhanced Dermatological Diagnosis and Decision Support
Imperceptible Adversarial Attack on S Channel of HSV Colorspace
Neural network-based attack detection in nonlinear networked control systems
An experimental study on new features for activity of daily living recognition
A texture-based method for classifying cracked concrete surfaces from digital images using neural networks
MGCN: Dynamic Spatio-Temporal Multi-Graph Convolutional Neural Network
Proposing a fast circular HOG descriptor for detecting rotated objects
Improving Noise Tolerance of Mixed-Signal Neural Networks
A data partitioning scheme for spatial regression
Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation
TransVae: A Novel Variational Sequence-to-Sequence Framework for Semi-supervised Learning and Diversity Improvement
Control of elastic joint robot based on electromyogram signal by pre-trained Multi-Layer Perceptron
Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks
Audit of Computational Intelligence Techniques for EDI-aware Systems
TRAIL: A Transformer-Enhanced Feature Embedding Approach for Unsupervised Anomaly Detection
The Self-Organising Hierarchical Variance Map
ECG-based Heartbeat Classification in Neuromorphic Hardware
High-level classification based on meta-graph of visibility graphs for Autism detection
An evaluation of neural network ensembles and model selection for time series prediction
Fault-tolerance by regeneration: using development to achieve robust self-healing neural networks
Aerial-Guided Groupwise CRFs for Multiple Panorama Depth Estimation with Scale-Consistent
Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness
Explore Uncertainty in Residual Networks for Crowds Flow Prediction
Bag-of-Visual Words for word-wise video script identification: A study
Multi-gradient: a fast converging and high performance learning algorithm
Automatic Calibration of Numerical Models using Fast Optimisation by Fitness Approximation
Real-Time Detection of Pedestrian Traffic Lights for Visually-Impaired People
FEAMNet: Light Field Depth Estimation Network Based On Feature Extraction and Attention Mechanism
Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks
Non-normalised compensatory hybrid fuzzy neural networks
Compose Like Humans: Jointly Improving the Coherence and Novelty for Modern Chinese Poetry Generation
Neural network with ensembles
Exploring Instruction Feature Adaptation for Event Argument Extraction in Large Language Models
Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction
Learning with binary-valued utility using derivative adaptive critic methods
Dynamic boosting in deep learning using reconstruction error
Evolving neurodynamic controllers for autonomous robots
Compressing recurrent neural network with tensor train
Relaxing in a warped space: an effect due to the cooperation of static and dynamical neurons
Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance
Early striate activity related to attention in a choice reaction task
TAF neural network for handwritten digits recognition
Multiple-criteria genetic algorithms for feature selection in neuro-fuzzy modeling
The divergence of reinforcement learning algorithms with value-iteration and function approximation
Learnt Topology Gating Artificial Neural Networks
A self-organizing approach to episodic memory modeling
Promoting Cooperative Strategies on Proof-of-Work Blockchain
Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type Conscious Transformation
Consistency driven opinion formation modelling in presence of external sources
Lane Detection Method Based on Deformable Linear Convolution
Think About Boundary: Fusing Multi-level Boundary Information for Landmark Heatmap Regression
Visual Cue Integration for Small Target Motion Detection in Natural Cluttered Backgrounds
Relation-Aware Graph Attention Network for Multi-Behavior Recommendation
Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach
FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation
Enhancing Chinese Calligraphy Generation with Contour and Region-aware Attention
Language Modeling through Long-Term Memory Network
Speaker Intention Enhanced Dialogue Discourse Parsing
Face recognition methods based on principal component analysis and feedforward neural networks
A hardware implementation of Multi-level Threshold Logic for Artificial Neural Net
Finding patient cluster attributes using auto-associative ANN modeling
Failure analysis of transmission devices using self-organizing map
Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification
Routing bandwidth model for feed forward neural networks on multicore neuromorphic architectures
Convolutional Neural Network for Medical Image Classification using Wavelet Features
Adaptive Neural Control for Switching Power Supplies Using Gaussian Wavelet Networks
RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement
Do We Really Reduce Bias for Scene Graph Generation?
A new domain decomposition for B-spline Neural Networks
A firefly algorithm for modular granular neural networks optimization applied to iris recognition
Developing a few-channel hybrid BCI system by using motor imagery with SSVEP assist
A Probabilistic Method for Motion Pattern Segmentation
A study of transformation-invariances of deep belief networks
Direct adaptive neural network control of a class of nonlinear systems
Random subspaces NMF for unsupervised transfer learning
A Novel Sequential Learning Algorithm for RBF Networks and Its Application to Dynamic System Identification
Structural Classifier Ensembles for Vector Space Embedded Graphs
SISAM: An Enhanced Promptable Segmentation Model with Expanded Dataset for Surgical Instruments
PLTON: Product-Level Try-on with Realistic Clothes Shading and Wrinkles
A novel entropy optimized kernel least-mean mixed-norm algorithm
METEOR Guided Divergence for Video Captioning
Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning
Sparsity analysis of learned factors in Multilayer NMF
Deep Learning and Low-Discrepancy Sampling for Efficient Approximate Dynamic Programming
Attention selection model using Weight Adjusted Topological properties and quantification evaluating criterion
Matrix Product Operator Restricted Boltzmann Machines
Deep learning based image description generation
Quadratic Hadamard memories
Modelling human attention and emotions
Bio-inspired models of memory capacity, recall performance and theta phase precession in the hippocampus
Auditory model based speech feature extraction and its application to speaker identification
Linear basis-function t-SNE for fast nonlinear dimensionality reduction
Development of a memetic algorithm for Dynamic Multi-Objective Optimization and its applications for online neural network modeling of UAVs
A fault/anomaly system prognosis using a data-driven approach considering uncertainty
Quantum Convolutional Neural Network on Protein Distance Prediction
A Self-Organizing Feature-Map-Based Fuzzy System
Robust Imagined Speech Production from Electrocorticography with Adaptive Frequency Enhancement
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
PD Control of Robot with RBF Networks Compensation
Augmentation-induced Consistency Regularization for Classification
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 3
Multiview Consistent Physical Adversarial Camouflage Generation through Semantic Guidance
Evaluating hopfield-network-based linear solvers for hardware constrained neural substrates
Repairing blackbox constraint violations in Multi-Objective Optimisation by use of decision trees
A fingerprint spoof detection based on MLP and SVM
Following Newton direction in Policy Gradient with parameter exploration
A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis
A multi-class brain-computer interface with SOFNN-based prediction preprocessing
MCDALNet: Multi-scale Contextual Dual Attention Learning Network for Medical Image Segmentation
The support vector machine learning using the second order cone programming
Smart Feature is What You Need
Rosetta: Enhancing Neural Machine Translation through Multilingual-PLMs and Semantic Constraints
Deep Quantization Retrieval of Audio Fingerprints Based on Double Contrast Learning
An incremental self-organizing neural network based on enhanced competitive Hebbian learning
Supervised Neural Network Training with a Hybrid Global Optimization Technique
Applying support vector machines and mutual information to book losses prediction
Cascaded Neural Network for Memristor based Neuromorphic Computing
Classification of Mice Head Orientation Using Support Vector Machine and Histogram of Oriented Gradients Features
Autonomous Programming for General Purposes: Theory and Experiments
Efficient Domain-Specific LLMs: Energy Profiling in Medical QA Tasks
Classifying commit messages: A case study in resampling techniques
MaCSE: Multi-Agent Ranking Distillation for Contrastive Learning of Sentence Embeddings
Learning node embedding for inductive link prediction in sparse observation network
Comparison of neural network based fingerprint classification techniques
An Integrated Approach to Mitigate Poisoning Attacks in Federated Learning Frameworks
MAE 2 -Net: An Efficient Multi-scale Adaptive Enhanced Network for Skin Lesion Segmentation
A proposal for human action classification based on motion analysis and artificial neural networks
Spatio-temporal cellular automata-based filtering for image sequence denoising
Hierarchical Hopfield neural network in solving the puzzle problem
Parameter selection and state dominance in hidden Markov models of neuronal activity
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism
Weakly-Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation
Null space based discriminant sparse representation large margin for face recognition
Data-smoothing regularization, normalization regularization, and competition-penalty mechanism for statistical learning and multi-agents
A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines
Impute vs. Ignore: Missing values for prediction
Multi-fidelity matryoshka neural networks for constrained IoT devices
A CCD based neural network integrated circuit with 64K analog programmable synapses
Timing of consecutive traveling pulses in a model of entorhinal cortex
Combining Street-level and Aerial Images for Dengue Incidence Rate Estimation
Prediction of natural guidewire rotation using an sEMG-based NARX neural network
Prompt-based Chinese Event Temporal Relation Extraction on LLM Predictive Information
X-MIFS: Exact Mutual Information for feature selection
GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units
A substitution of the general partial differential equation with extended polynomial networks
GNN-Detective: Efficient Weakly Correlated Neighbors Distinguishing and Processing in GNN
Studying the capacity of cellular encoding to generate feedforward neural network topologies
An Effective Adaptive Ensemble Survival Model for Risk Prediction
Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks
Mutually Promoted Hierarchical Learning for Incremental Implicitly-Refined Classification
Who Are the Money Launderers? Money Laundering Detection on Blockchain via Mutual Learning-Based Graph Neural Network
Approximate planning in POMDPs via MDP heuristic
A comparison of autoencoder and statistical features for cattle behaviour classification
A binary ensemble classifier for high-frequency trading
A Network of Dynamically Coupled Elements for Pixel Clustering
Temporal Knowledge Discovery for Multivariate Time Series with Enhanced Self-Organizing Maps
Studies on Sparse Array Cortical Modeling and Memory Cognition Duality
Image retrieval based on intrinsic spectral histogram representation
Reversible Adversarial Examples based on Self-Embedding Watermark for Image Privacy Protection
Self-organizing agents for reinforcement learning in virtual worlds
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware
Simultaneous application of clustering and correspondence analysis
SecureVeil: A Modular Architecture with Deep Cosine Transformation and Secure Key Fusion for Face Template Protection
Learning to Follow Domain-specific Instruction with Verifiable Rewards
Solving a graph layout problem using strictly digital neural networks with virtual slack-neurons
Generating rules from trained network using fast pruning
Plenary talks: Frontiers in recurrent neural network research
V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos
Attention Optimization in AI-Aided Drowning Diagnosis Using Post-Mortem CT to Mitigate Overfitting with Limited Training Data
Unified Graph Embedding-Based Anomalous Edge Detection
Improving financial time series prediction using exogenous series and neural networks committees
ED-T2V: An Efficient Training Framework for Diffusion-based Text-to-Video Generation
Testing models of attention with MEG
DR-NET: A Stacked Convolutional Classifier Framework for Detection of Diabetic Retinopathy
Discrete Hopfield model with graded response (analysis and applications)
An Efficient Distributed Reinforcement Learning for Enhanced Multi-Microgrid Management
Multi-Objective Behavior Coordinate for a Mobile Robot with Fuzzy Neural Networks
Recognition of Natural and Non-Natural Defects Presented in Ophthalmic Lenses
Similar land-form discovery: Complex absolute-value max pooling in complex-valued convolutional neural networks in interferometric synthetic aperture radar
A neural network for the typicality effects
Emergence of tool construction in an articulated limb controlled by evolved neural circuits
On the contractive nature of autoencoders: application to missing sensor restoration
Exploring mineral domains with genetic algorithm
Prediction Using LSTM Networks
Stochastic Rounding: Algorithms and Hardware Accelerator
Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions
A Neural Network Learning Relative Distances
MPnnet: a Motion Planning Decoding Convolutional Neural Network for EEG-based Brain Computer Interfaces
SG-RSRNN - Score Guided Robust Subspace Recovery-based Neural Network for Network Intrusion Detection
Identification of compounds in ice analogs with NMF algorithms
Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space
A connectionist approach for adaptive lesson presentation in a distance learning course
A Proposal for a Fusion of an Ensemble with Error Correction Model Applied to Automotive Time Series
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks
IFKCN: Applying fuzzy Kohonen clustering network to interval data
A comprehensive comparison of ML algorithms for gene expression data classification
Neural networks to improve mathematical model adaptation in the flat steel cold rolling process
Factorized models in neural architecture search: Impact on computational costs and performance
Artificial vision by electrical stimulation of the retina
Modeling nodule growth via spatial transformation for follow-up prediction and diagnosis
Common Extraction and Distribution Guided for Weakly Supervised RGB-IR Vehicle Detection
Feature leaning with deep Convolutional Neural Networks for screening patients with paroxysmal atrial fibrillation
Mitigating Knowledge Conflicts in Data-to-Text Generation via the Internalization of Fact Extraction
HL-ESViT: High-Low Frequency Efficient Spiking Vision Transformer
A learning algorithm for a data-driven controller based on fictitious reference iterative tuning
Adaptive and scalable Android malware detection through online learning
CLIP-Driven Low-Cost Image Captioning
HCt-SNE: Hierarchical Constraints with t-SNE
Baseline win rates for neural-network based trading algorithms
A Spatiotemporal Ensemble Approach to Rainfall Forecasting
Biological neural network based chemotaxis behaviors modeling of C. elegans
The little neuron that could
STSIR: A Spatial Temporal Pandemic Model with Mobility Data - A COVID-19 Study
Person identification using VEP signals and SVM classifiers
GaitSE: Gait Recognition with Enhanced Spatial Extraction Capability
HDL: Hierarchical Deep Learning Model based Human Activity Recognition using Smartphone Sensors
Attitude and Vibration Control of Flexible Spacecraft Using Adaptive Inverse Disturbance Canceling
Reduction of difference among trained neural networks by re-learning
Automatic Evaluation of Flaws in Pipes by means of Ultrasonic Waveforms and Neural Networks
Improving the Performance of an Insect-Inspired Navigation Model Using Directional Selective Collision Detection
Optimization of logical rules derived by neural procedures
Loop closure detection for visual SLAM using PCANet features
DiffusionHead:Dense crowd target head detection based on diffusion model
Deep auto-encoder in model reduction of lage-scale spatiotemporal dynamics
Dynamic Graph Attention Network For Traveling Officer Problem
Toward a neuro-developmental theory of decision attribute weighting
A continuous hopfield neural network based on dynamic step for the traveling salesman problem
Modified self-organizing mixture network for probability density estimation and classification
Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching
Few-shot Classifier GAN
Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network
Hidden representation after reinforcement learning of hand reaching movement with variable link length
A Novel End-to-End Transformer for Scene Graph Generation
Leveraging Sample Complementarity: A Novel Ensemble Strategy
Adaptive Dila-DenseNet for Image based Time Series Classification in IoT
Unsupervised clustering and the capacity of support vector machines
An enhanced parallel planar lattice architecture for large scale neural network simulations
IF-DETR: Incremental Few-Shot Detection Transformer for Surface Defect Detection
FSBridge: Bridging Federated and Split Learning for Next-Generation Edge AI
Prefix Tuning for Few-shot Malware Classification with Supervised Contrastive Cross-Entropy Learning
Single-class SVM classifier for localization of epileptic focus on the basis of EEG
A two layer disparity selective simple cell model
Synaptic Depression in Associative Memory Networks
Neuronal network identification of a wastewater treatment prototype
Designing Automatic Train Regulation for MRT system by adaptive critic method
MVMAFOL: A Multi-Access Three-Layer Federated Online Learning Algorithm for Internet of Vehicles
Analysis and synthesis of associative memories based on Brain-State-in-a-Box neural networks
Computational capabilities of recurrent neural networks based on their attractor dynamics
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks
Extended simulated annealing for augmented TSP and multi-salesmen TSP
A spatiotemporal memory that separates "what" and "when"