yusuke1997/dblp-id-title huggingface dataset:
Dimensionality reduction using compressed sensing and its application to a large-scale visual recognition task
The Systematic Trajectory Search Algorithm for Feedforward Neural Network Training
Detecting Codec-Based Deepfake Audio: A Multimodal Approach with Gated Cross-Attention and Sharpness-Aware Optimization
Temporal Calibrated Regularization for Robust Noisy Label Learning
Neural based obstacle avoidance with CPG controlled hexapod walking robot
Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks
Local binary pattern with new decomposition method for face recognition
Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening
RulePG: Syntactic Rule-enhanced Paraphrase Generation
Grounded symbols in the brain
Hierarchical Chunking during Learning of Visuomotor Sequences
DBFC 2 :Dual-Branch Fusion Convolution and Correction Underwater Image enhancement network
Inductive vs transductive inference, global vs local models: SVM, TSVM, and SVMT for gene expression classification problems
Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality
Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering
SOMSO: A self-organizing map approach for spatial outlier detection with multiple attributes
C2FS: An Algorithm for Feature Selection in Cascade Neural Networks
Pulsed neural networks based on delta-sigma modulation suitable for hardware implementation
Pyramid Attention Dense Network for Image Super-Resolution
Kernel adaptive filtering with maximum correntropy criterion
Facial expression recognition based on Liquid State Machines built of alternative neuron models
Fast convergence for backpropagation network with magnified gradient function
Explaining how a multi-layer perceptron predicts helicopter airframe load spectra from continuously valued flight parameter data
Constraints on body movement during visual development affect behavior of evolutionary robots
Graph weighted subspace learning models in bankruptcy
Gain parameters based complex-valued backpropagation algorithm for learning and recognizing hand gestures
A direct perception for decision making of a service robot
An intelligent system for diagnosing sleep stages using wavelet coefficients
A New Methodology for Classifying QRS Morphology in ECG Signals
Blind signal separation in distributed space-time coding systems using the FastICA algorithm
Reservoir-based online adaptive forward models with neural control for complex locomotion in a hexapod robot
Depersonalized Cross-Subject Vigilance Estimation with Adversarial Domain Generalization
Temporal-specific roles of fractality in EEG signal of Alzheimer's disease
Closed-form projection operator wavelet kernels in support vector learning for nonlinear dynamical systems identification
Born-Again Decision Boundary: Unsupervised Concept Drift Detection by Inspector Neural Network
A Novel Movement-supported HRI Framework for Humanoid Robots
Online adaptation of controller parameters based on approximate dynamic programming
Optimal Clusters Generation for Maximizing Ensemble Classifier Performance
Extending Manifold Leaning Algorithms by Neural Networks
LSFB-CONT and LSFB-ISOL: Two New Datasets for Vision-Based Sign Language Recognition
Automatic Guidewire Tip Segmentation in 2D X-ray Fluoroscopy Using Convolution Neural Networks
Modeling and Analysis of Human Binocular Perception of Position and Velocity in the Visual Cortex
A new contextual based feature selection
Multi-source based approach for Visual Domain Adaptation
Time-table scheduling using neural network algorithms
HSR-KAN: Efficient Hyperspectral Image Super-Resolution via Kolmogorov-Arnold Networks
Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling
Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages
Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function
Optimality of LSTD and its Relation to MC
Energy-efficient and Robust Cumulative Training with Net2Net Transformation
Navigating mobile robots to target in near shortest time using reinforcement learning with spiking neural networks
Universal approximation propriety of Flexible Beta Basis Function Neural Tree
A basis coupled evolving spiking neural network with afferent input neurons
D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction
Rule generation from neural networks for student assessment
Motion Part-Level Interpolation and Manipulation over Automatic Symbolic Labanotation Annotation
MemAU-Net: Memory-Enhanced Attention U-Net for Medical Image Forgery Localization
Context-Aware Meta-Reinforcement Learning for Intelligent Diverse Indoor HVAC Control
Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis
Wake-Sleep PCA
A Robotic Neural Net Based Visual-sensory Motor Control System that Reverse Engineers the Motor Control Functions of the Human Brain
Secant manifold constrained random projections -Improved cluster ensembles
Maximum Entropy Reinforcement Learning with Evolution Strategies
Towards infrared human pose estimation via Transformer
Efficient Feature Fusion for UAV Object Detection
Collaborative statistical learning with rough feature reduction for visual target classification
Optimal In-Place Learning and the Lobe Component Analysis
Quantum-StateHD: Leveraging Random Quantum States for Hyperdimensional Learning
Incremental learning with the minimum description length principle
Make "V" and "Q" Inseparable: Deliberately Dual-Channel Adversarial Learning for Robust Visual Question Answering
Using non-oscillatory dynamics to disambiguate simultaneous patterns
DSAC-C: Robust Discrete Soft-Actor Critic for Distribution Shift Scenarios
Missing Value Imputation for Diabetes Prediction
Memory Coordinated Cross Perception for Few-Shot Object Detection
Continuous Heartbeat Monitoring Using Evolvable Block-based Neural Networks
Personalized sensing towards building energy efficiency and thermal comfort
The effect of emotional bias in attentional processes
A small-world of neuronal functional network from multi-electrode recordings during a working memory task
Pre-training Graph Neural Networks via Weighted Meta Learning
An Intrusion Detection System based on PSO-GWO Hybrid Optimized Support Vector Machine
Efficiency of Shallow Cascades for Improving Deep Learning AI Systems
SPIL: Fast Imitation Learning with Single-Person Game
Random Projections for Improved Adversarial Robustness
Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation
A method to build a representation using a classifier and its use in a K Nearest Neighbors-based deployment
Lightweight Action Recognition with Sequence-Specific Global Context
Simulating robotic cars using time-delay neural networks
Dual Graph Neural Networks for Optimizing Circuit Partitioning: A Synergistic Approach
Evolving spiking neural networks for taste recognition
Kernel-based Subspace Analysis for Face Recognition
Overcoming the local-minimum problem in training multilayer perceptrons by gradual deconvexification
A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps
Cellular neural networks for information storage and retrieval: a new design method
Computational framework based on task and resource scheduling for micro grid design
Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons
Convolutional Neural Network with Inception Blocks for Image Compression Artifact Reduction
Fully complex-valued radial basis function networks for orthogonal least squares regression
Self-Organized Hebbian Inference of Environment Topology by Distributed Sensor Networks
Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World
A neural model approach for regularization in the mean estimation case
Chinese Event Argument Classification via Discourse-Level Graph Convolutional Network
Active learning of causal Bayesian networks using ontologies: A case study
VQGG: Generating Adaptive Graphs for Traffic Forecasting via a Vector-Quantized Graph Generator
The Learning and Dynamics of VSF-Network
Information fusion of wavelet projection features for face recognition
Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy
A robust deterministic annealing algorithm for data clustering
Distributed computation for neural-based abductive reasoning
Efficient LLMs with AMP: Attention Heads and MLP Pruning
Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting
Towards the Design of Efficient TCN-bascd Prefetcher for Hybrid NVM-DRAM Memory
An empirical analysis of ensemble systems in cancellable behavioural biometrics: A touch screen dataset
A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks
SVM learning from large training data set
Using knowledge of the region of interest (ROI) in automatic image retrieval learning
Bearing fault diagnosis by EXIN CCA
Low-Quality Rendering-Driven 6D Object Pose Estimation from Single RGB Image
Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens
A Redescriptive Approach to Autonomous Perceptual Classification in Robotic Cognitive Architectures
Local features in biomedical image clusters extracted with independent component analysis
Image compression with hardware self-organizing map
Solving the data imbalance problem of P300 detection via Random Under-Sampling Bagging SVMs
LMGAN: A Progressive End-to-End Chinese Landscape Painting Generation Model
Multiscale collaborative speech denoising based on deep stacking network
Unsupervised Feature Learning for Visual Place Recognition in Changing Environments
Dual-channel spatio-temporal wavelet transform graph neural network for traffic forecasting
Simulations of attention control models in sensory and motor paradigms
Text Attention and Focal Negative Loss for Scene Text Detection
A Multi -Role Graph Attention Network for Knowledge Graph Alignment
Feature guided visual attention with topographic array processing and neural network-based classification
Dual Convolutional Neural Network for Lung Nodule Classification
A Domain-adversarial and Multi-scale Contrastive Method for Few-Shot Graph Node Classification
PUBA: A Physical Undirected Backdoor Attack in Vision-based UAV Detection and Tracking Systems
Neural Recurrent Approches to Noninvasive Blood Pressure Estimation
Algorithmic Recourse in Mental Healthcare
Learning algorithms for a specific configuration of the quantron
A Real-time Vein Puncture Segmentation Framework Based on YOLO and DEVA
Interpretation of geophysical surveys of archaeological sites using artificial neural networks
Multi-Temporal Convolutions for Human Action Recognition in Videos
Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface
Real-time classification of LIDAR data using discrete-time Recurrent Spiking Neural Networks
Connectivity Based Method for Clustering Microbial Communities from Metagenomics Data of Water and Soil Samples
A Fine-tuned Approach to Code Summarization Generation Based on Keyword Augmentation and Contrastive Learning
Modelling harbour sedimentation using ANN and M5 model trees
MufiNet: Multiscale Fusion Residual Networks for Medical Image Segmentation
Analysis of absence seizure EEG via Permutation Entropy spatio-temporal clustering
SEVEN: Pruning Transformer Model by Reserving Sentinels
Paraphrase Generation with Collaboration between the Forward and the Backward Decoder
Linear discriminants, logic functions, backpropagation, and improved convergence
A pragmatic approach to multi-class classification
An Efficient and Low-Cost FPGAs-Accelerated CNN-Based Edge Intelligent Garbage Classification System on ZYNQ
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
Applying Logical Rules to Reinforcement Learning for Interpretable Knowledge Graph Reasoning
Muscle Synergy Analysis under the Constraint of Connectivity between Brain and Muscle Activity
Constructing Cloze Questions Generatively
SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs
Denoising using local ICA and kernel-PCA
Effect of curriculum on the consolidation of neural network task knowledge
Computation of deep belief networks using special-purpose hardware architecture
YOLO-Driven Prompt Generation for SAM-Based Brain Tumor Segmentation
Brain fMRI processing and classification based on combination of PCA and SVM
Label Correlation Based Graph Convolutional Network for Multi-label Text Classification
Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network
Subspace based least squares support vector machines for pattern classification
Scaling up deep reinforcement learning for multi-domain dialogue systems
Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels
Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning
WaterBalloons: A Hybrid Watershed Balloon Snake Segmentation
Motor imagery EEG detection by empirical mode decomposition
Scaling, rotation, and translation invariant image recognition using competing multiple subspaces
Variant of feature extraction and coding-reconstruction of the images using neuron-like algorithms
ExpanQN: Enhancing Android Malware Detection with Dataset Expansion and Adversarial Robustness
Rain Streak Attention Network for Single Image Deraining
Learning Label-Relational Output Structure for Adaptive Sequence Labeling
An Online Semi-supervised Active Learning Algorithm with Self-organiing Incremental Neural Network
Spectral clustering of protein sequences
Autoregressive based Drift Detection Method
Vector Symbolic Sub-objects Classifiers as Manifold Analogues
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
YinYang bipolar dynamic logic (BDL) and equilibrium-based computational neuroscience
Dimensional reduction for solar irradiance forecasting problem using principal components analysis and Turk-Pentland strategy
Designing associative memories implemented via recurrent neural networks for pattern recognition
NR-DETR: A Lightweight Real-Time Fabric Defect Detection Model with Multi-Scale Enhancement
MEKA - a fast, local algorithm for training feedforward neural networks
Approximate Dynamic Programming and Neural Networks on Game Hardware
HRAN-MKR:Multi-task Recommendation based on Heterogeneous Relation Attention Network
Solar power prediction with data source weighted nearest neighbors
CQ-VQA: Visual Question Answering on Categorized Questions
Correntropy-based density-preserving data sampling as an alternative to standard cross-validation
Performance measures for evolving predictions under delayed labelling classification
Smile detection using Pair-wise Distance Vector and Extreme Learning Machine
Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series
International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, Georgia, USA, 14-19 June 2009
ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers
TransDBC: Transformer for Multivariate Time-Series based Driver Behavior Classification
Effects of Architecture and Training on Embedding Geometry and Feature Discriminability in BERT
Classification of Normal and Hypoxia EEG Based on Approximate Entropy and Welch Power-Spectral-Density
Coral Classification Using DenseNet and Cross-modality Transfer Learning
Robust Secret Data Hiding for Transformer-based Neural Machine Translation
A method for designing the internal representation of neural networks
Training recurrent network with block-diagonal approximated Levenberg-Marquardt algorithm
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network
Denoise Enhanced Neural Network with Efficient Data Generation for Automatic Sleep Stage Classification of Class Imbalance
Efficient Deep Gaussian Process Models for Variable-Sized Inputs
A Self-Supervised Approach for Enhanced Feature Representations in Object Detection Tasks
Intelligent Fault Tolerant Control Using Artificial Neural Networks
Neurophysiology of a VLSI Spiking Neural Network: LANN21
Multi-Scale Attentive Feature Fusion Network for Single Image Dehazing
Comparative Analysis of Artificial Hydrocarbon Networks versus Convolutional Neural Networks in Human Activity Recognition
Cooperative Transportation by Multiple Mobile Manipulators using Adaptive NN Control
Dynamic functional connectivity analysis in individuals with Autism Spectrum Disorder
Shrinkage learning to improve SVM with hints
Theta Autoregressive Neural Network: A Hybrid Time Series Model for Pandemic Forecasting
Real-Time Photonic Deep Reservoir Computing for Speech Recognition
NeRF-SR++: Towards Higher Quality Supersampled Neural Radiation Fields
Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model
Coupled Multi-view Graph Convolutional Networks Based on Multi-scale Attention and Knowledge Embedding for Parkinson's Disease Diagnosis
Symmetric Cipher Design Using Recurrent Neural Networks
Classifying Hierarchical Data Streams using Global Classifiers and Summarization Techniques
Single Cell Mosaic Integration via Regulatory Graph Guided Variational Cross-modal Fusion
A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor