yusuke1997/dblp-id-title huggingface dataset:
Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network
Lightweight multi-dimensional memristive CapsNet
Predictive Multiple Model Switching Control with the Self-Organizing Map
Position Paper: Large Language Models need Episodic Memory
Coordinate Transformation Learning of Hand Position Feedback Controller Based on Disturbance Noise and Feedback Error Signal
Regularized training of the extreme learning machine using the conjugate gradient method
INXS: Bridging the throughput and energy gap for spiking neural networks
A computational model of early visual cortex using konio-cellular pathway projections
An online incremental learning algorithm for time series
Semi-Supervised Domain-Adversarial Training for Intrusion Detection against False Data Injection in the Smart Grid
Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems
Agile Domain Adaptation
Hierarchical Graph Attention Network with Heterogeneous Tripartite Graph for Numerical Reasoning over Text
A neural network architecture for the decoding of long constraint length convolutional codes
Deep Multi-view Learning from Sequential Data without Correspondence
Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
Financial distress model prediction using SVM+
Neural networks for feedback control of robots and dynamical systems
Micro-expression recognition based on local binary patterns from three orthogonal planes and nearest neighbor method
Detecting multiple changes from multi-temporal images by using stacked denosing autoencoder based change vector analysis
Color image processing based on Nonnegative Matrix Factorization with Convolutional Neural Network
Multi-Scale Adaptively-Aware and Recalibration Network for Brain Tumor Segmentation with Missing Modalities
Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising
Extreme learning machines to approximate low dimensional spaces for helicopter load signal and fatigue life estimation
Spiking neural network training using evolutionary algorithms
A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms
Exploring Writing Pattern with Pop Culture Ingredients for Social User Modeling
Introduction to the SAM-S M* and MAM-S M* families
Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
Personalized facial expression recognition in indoor environments
Graph-Based EEG Analysis for Parkinson's Disease Classification: A Residual Neural Network Approach
Gauss-sigmoid neural network
Conventional vs. RBF control of a benchmark process control problem
Continuous Sign Language Recognition based on Multi-Part Skeleton Data
Adaptive Query Prompting for Multi-Domain Landmark Detection
Zhang neural network without using time-derivative information for constant and time-varying matrix inversion
MoStress: a Sequence Model for Stress Classification
Hebbian feature discovery improves classifier efficiency
An efficient learning algorithm for finding multiple solutions based on fixed-point homotopy method
Graph-Aug LSTM with Weighted Loss for Enhanced Energy Forecasting
Local Critic Training of Deep Neural Networks
Bottom-Up Hierarchical Propagation Networks with Heterogeneous Graph Modeling for Video Question Answering
Cascade Adversarial Attack Search
Unsupervised Learning Neural Network for Classification of Ship-Hull Fouling Conditions
Global optimization for fast multilayer perceptron training
Application of the visuo-oculomotor transformation to ballistic and visually-guided eye movements
DPS-Net: Dual-Path Stimulation Network for Continuous Sign Language Recognition
Visual robot homing using Sarsa(lambda), whole image measure, and radial basis function
CatchPhish: Model for detecting homographic attacks on phishing pages
Artificial neural networks, where do we go next?
LABELNET: Recovering Noisy Labels
Electromagnetic Signal Modulation Classification Based on Multimodal Features and Reinforcement Learning
Neural network electrical machine faults diagnosis based on multi-population GA
Leveraging Intent Entity Enhancement for Task-Oriented Dialogue
On the use of clustering and local singular spectrum analysis to remove ocular artifacts from electroencephalograms
Independent component analysis for spatial object recognition with applications of information theory synthesis
Time Series Enhanced Graph Neural Networks for Session-based Recommendation
Model of neuron-like systems: examples of dynamic processes
Deep Learning Techniques for Beef Cattle Body Weight Prediction
Critical clearing time prediction using recurrent neural networks
Topic-Aware Modeling for Unsupervised Extractive Summarization
Answering Binary Causal Questions: A Transfer Learning Based Approach
LR-DiffText: Low Resolution Scene Text Detection Based on Diffusion Probabilistic Model
Model Performance Inspection of Deep Neural Networks by Decomposing Bayesian Uncertainty Estimates
Local-Global based Deep Registration Neural Network for Rigid Alignment
How the internal state subnetwork works
Feature Transformation for Few-Shot Learning
Hand alphabet recognition using morphological PCA and neural networks
Distributed neural network: Dynamic learning via backpropagation with hardware neurons using arduino chips
DCI-PRNet: 3D Object Detection Network via Dual Cross-modal Interaction and Progressive Reasoning
Semi-supervised GAN with sparse ground truth as Boundary Conditions
An on-line learning neuro-fuzzy system based on artificial immune systems
Recurrent neural networks with fixed time convergence for linear and quadratic programming
Boilerplate Detection via Semantic Classification of TextBlocks
Theta Neuron Networks: Robustness to Noise in Embedded Applications
Hierarchical and dynamic SOM applied to image compression
A Novel Ensemble Method of RVFL For Classification Problem
Clustering and use of spatial and frequency information in a biologically inspired approach to image classification
Policy iteration approximate dynamic programming using Volterra series based actor
Specialty may be better: A decoupling multi-modal fusion network for Audio-visual event localization
Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller
Classification from a Riemannian graph embedding viewpoint
A tree-structured representation for book author and its recommendation using multilayer SOM
Dual-Stage Training Frame-level Overlapping Speech Detection Model Based on Convolutional Neural Network Architecture
Clinical Experience-inspired Multimodal Fusion Networks for Dermatological Classification
Multiclass classifiers vs multiple binary classifiers using filters for feature selection
Seeking the SuperStar: Automatic assessment of perceived singing quality
Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data
Dual heuristic dynamic programming based event-triggered control for nonlinear continuous-time systems
Towards Automatically Creating Large Labeled Datasets for Training Question Domain Classifiers
Knowledge processing system using Kohonen feature map associative memory with refractoriness based on area representation
Manifold regularization based approximate value iteration for learning control
Chain of Thoughts Based Prompting for Incident Detection Using Large Language Model
Optimal dimension reduction and transform coding with mixture principal components
Classification of behavior patterns with trajectory analysis used for event site
Large-scale singer recognition using deep metric learning: an experimental study
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks
Fuzzy neural network for document region classification using human visual perception features
Appearance-based Pain Recognition from Video Sequences
Knowledge-based Context-aware Multi-turn Conversational Model with Hierarchical Attention
Brain mechanisms for robotic object pose estimation
Prototype robotic arm assisted by smart CMOS vision chips
One Shot Spatial Learning through Replay in a Hippocampus-Inspired Reinforcement Learning Model
WWN-9: Cross-domain synaptic maintenance and its application to object groups recognition
A winner-take-all circuit based on second order Hopfield neural networks as building blocks
A single-layer radial basis function network classifier and its applications
Neurocomputation of image motion
Greenland Temperatures and Solar Activity: A Computational Intelligence Approach
An Integrative Neural Network with Feedback Control for Classification
Inductive Dummy-based Homogeneous Neighborhood Augmentation for Graph Collaborative Filtering
MMSOD: Mixture-of-experts with Adapter for Multimodal Salient Object Detection
CIlib: A collaborative framework for Computational Intelligence algorithms - Part II
Trajectory tracking control of the guiding and following mobile robots: Elliptic collision-Free approach
An enhancement of relational reinforcement learning
Enhance Fine-Grained Visual Classification with Attention-Guided Region Selection and Contrastive Feature Alignment
Heterogeneous Graph Gated Attention Network
Effort Estimation via Text Classification And Autoencoders
The Drone-vs-Bird Detection Grand Challenge at IJCNN 2025
Recurrent neural gas in electric load forecasting
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models
A model of saccadic generation based on the neurobiology of the superior colliculus
Extending the Growing Hierarchal SOM for clustering documents in graphs domain
SFCola-Net: Spatial-Frequency Collaborative Attention Network for Image Restoration
Evaluation of cosine radial basis function neural networks on electric power load forecasting
HE-ASR-IT: Hybrid Excitation and Adaptive Style Recombination for Unpaired Image-to-Image Translation
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer
Engine data classification with simultaneous recurrent network using a hybrid PSO-EA algorithm
Stochastic Resonance Enables BPP/log* Complexity and Universal Approximation in Analog Recurrent Neural Networks
Graph Link Prediction via Decay Coefficient based Proportional Aggregation and Hybrid Concatenation
A Clustering-Based Method to Anomaly Detection in Thermal Power Plants
QFALT: Quantization and Fault Aware Loss for Training Enables Performance Recovery with Unreliable Weights
Incorporating a priori Knowledge into Initialized Weights for Neural Classifier
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach
Optimization with genetic algorithms of modular neural networks using interval type-2 fuzzy logic for response integration: The case of multimodal biometry
MMR: Multi-scale Motion Retargeting between Skeleton-agnostic Characters
Deep Transfer Learning Remaining Useful Life Prediction of Different Bearings
Understanding human implicit intention based on frontal electroencephalography (EEG)
A Structure and Semantic Aware Framework for Generalized Medical Image Segmentation via Frequency and Probabilistic Learning
Time-aware Self-Attention Meets Logic Reasoning in Recommender Systems
Working Towards Toxic datasets for LLM Safeguarding
Incomplete Cholesky decomposition based kernel principal component analysis for large-scale data set
Rival rewarded and randomly rewarded rival competitive learning
A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging
An associative memory for the on-line recognition and prediction of temporal sequences
Classification of infrasound events using radial basis function neural networks
Clinical results with the model 1IRP implant
Refine decision boundaries of a statistical ensemble by active learning
Nested Variance Estimating VAE/GAN for Face Generation
Intelligent stock trading system based on SVM algorithm and oscillation box prediction
A model of cooperative agent based on imitation and Maslow's Pyramid of needs
Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles
HierADL: Automatic Hierarchical Structures to Improve Daily Activity Recognition
Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison
Self-Optimisation of Dense Neural Network Architectures: An Incremental Approach
Concentric Spherical Neural Network for 3D Representation Learning
A New Nonlinear Similarity Measure for Multichannel Biological Signals
Stochastic dynamics and partial synchronization of stimulus-driven neural activity
Automated Behavior Identification of Home Security Camera Traffic
Linear Upper Confident Bound with Missing Reward: Online Learning with Less Data
Proposal of Film-penetrating Transducers for a Spin-wave Reservoir Computing Chip
A Neural Network Approach to Bearing Health Assessment
SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning
Learning algorithm for independent component analysis by geodesic flows on orthogonal group
Multi-Dialect Arabic Speech Recognition
Reassessing Combinatorial Productivity Exhibited by Simple Recurrent Networks in Language Acquisition
Multivariate Time Series Prediction with PID-based Residual Compensation
Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data
Group-Based Deep Transfer Learning with Mixed Gate Control for Cross- Domain Recommendation
Bayesian Network for Hydrological Model: an inference approach
A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes
Chunk incremental IDR/QR LDA learning
Adaptive backstepping-based nonlinear disturbance observer for fin stabilizer system
Neural network based benchmarks in the quality assessment of message digest algorithms for digital signatures based secure Internet communications
Challenges and opportunities for analog neural processing in the deep submicron SoC era
ARCM: A Representation Classification Method for Tabular Data Based on Graph Embedding Rules
An efficient initialization scheme for the self-organizing feature map algorithm
Supervised and reinforced competitive learning
Seasonal-Trend Transformer-based Diffusion Model for Non-Intrusive Load Monitoring
Dynamical Analysis of an Oscillatory Cortical Neural Network
A computational platform for visual fear conditioning
AI Governance: Ethics of Trustworthy AI in Healthcare
Comparison of meta-analysis approaches for neuroimaging studies of reward processing: A case study
Robust Two-stage Graph Convolutional Network for Face Clustering
Financial time series prediction using a support vector regression network
A SOM-based multimodal system for musical query-by-content
Diversity in Neural Architecture Search
Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability
Artificial neural networks for stochastic control of nonliner state space systems
Network-based learning through particle competition for data clustering
New discoveries in balanced ensemble learning
Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network
Neural networks versus Linear and Sequential Programming for Gas Lift Optimization in a two oil wells system
An Online Model for Scheduling Electric Vehicle Charging at Park-and-Ride Facilities for Flattening Solar Duck Curves
Control chaos in nonautonomous cellular neural networks using impulsive control methods
Multi-Scale Non-Local Sparse Attention for Single Image Super-Resolution
RSLIME: An Efficient Feature Importance Analysis Approach for Industrial Recommendation Systems
ULBNN: Ultra-lightweight BNN Accelerator for Out-Of-Order Execution in Autonomous Driving
Sideslip angle soft-sensor based on neural network left inversion for multi-wheel independently driven electric vehicles
Quantum variational learning for entanglement witnessing
Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification
Abstractive Text Summarization with Multi-Head Attention
An Arc Light Elimination Network Using Polarization and Prior Information
A temporal encoding method based on expansion representation
Inductive sorting-out GMDH algorithms with polynomial complexity for active neurons of neural network
Authenticated key exchange protocol using neural cryptography with secret boundaries
Application of neural networks to 3G power amplifier modeling
Optimizing Filter-bank Canonical Correlation Analysis for fast response SSVEP Brain-Computer Interface (BCI)
Online Learning Dynamics of Radial Basis Function Neural Networks near the Singularity
DiffGFormer: A Data Augmentation Recommender Model Using Diffusion and Graph Transformer
Geometrical facial modeling for emotion recognition
DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation
Fuzzy Clustering of Open-Source Software Quality Data: A Case Study of Mozilla
Event-related optimization for a class of resource location with admission control
Fulcrum Rebalancing and Hybrid Classification for Multi-Class Multi-Labeled ECG
A supervised approach to electric tower detection and classification for power line inspection
Supervised learning techniques for backpropagation networks
Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network Classifiers
OOD-Robust Boosting Tree for Intrusion Detection Systems
HEVS: A hierarchical computational model for Early stages of the Visual System
Dynamic Multi-Scale Spatial-Temporal Feature Network for Traffic Flow Forecasting
Invertible TabMap: An Invertible Self-supervised Mapping for Imbalanced Classification of Tabular Data
Finding Local Dependent Regions in PDFs using RKHS Uncertainty Moments and Optimal Transport
A data mining approach for preventing undergraduate students retention
Neural Network Model Reconstructed from Entangled Quantum States
Learning real-world stimuli by single-spike coding and tempotron rule
Spatial Relationship-Driven Computer Vision Image Data Set Annotation
Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode control
A Transformer-Based Variational Autoencoder for Sentence Generation
Bayesian versus constrained structure approaches for source separation in post-nonlinear mixtures
Hierarchical Embedding for Code Search in Software Q&A Sites
Mitigating Hallucination Issues in Small-Parameter LLMs through Inter-Layer Contrastive Decoding
Speeding Up Reinforcement Learning by Exploiting Causality in Reward Sequences
Modelling the restoration of activity in a biological neural network
EmotioNet: A 3-D Convolutional Neural Network for EEG-based Emotion Recognition
An Organizational Coordinated Control Paradigm for Complex Systems based on Intelligent Agent Supervisory Loops
Toward a modular connectionist model of local chlorophyll concentration from satellite images
A Multi-Agent Deep Reinforcement Learning Framework for the Stable Landing of a Flexibly Connected Three-Node Space Probe
Diffusive coupled cyclic negative feedback systems
Graph-based Dynamic Domain Selection for Dialogue State Tracking
FEMaR: A finite element machine for regression problems
A neural approach to drugs monitoring for personalized medicine
Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams
Solar radiation forecasting under asymmetric cost functions
The INNS President's Welcome
DIOPT: Extremely Fast Classification Using Lookups and Optimal Feature Discretization
Speeding up the IRWLS convergence to the SVM solution
Study of Explainability Analysis Methods for the LAMDA Family Algorithms in Classification and Clustering Tasks
A Novel Feature Importance Based Layer to Improve Neural Networks
Deep learning long-range information in undirected graphs with wave networks
Adaptive self-protective motion based on reflex control
Comparing NARX and NARMAX models using ANN and SVM for cash demand forecasting for ATM
Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model
Periodic Motions, Mapping Ordered Sequences, and Training of Dynamic Neural Networks to Generate Continuous and Discontinuous Trajectories
Coupled fuzzy k-nearest neighbors classification of imbalanced non-IID categorical data
Time Scale Gradient Aggregation Strategy for Systems Biology Parameter Identification
Generalized constraint neural network regression model subject to equality function constraints
An intelligent learning-based watermarking scheme for outsourced biomedical time series data
Reinforcement-Learning-Based Deadline Constrained Task Offloading Schema for Energy Saving in Vehicular Edge Computing System
Generative network explains category formation in Alzheimer patients
A T-S Fuzzy Logic Controller for biped robot walking based on adaptive network fuzzy inference system
New untrained aggregation methods for classifier combination
Vision-sensorimotor abstraction and imagination towards exploring robot's inner world
Selective attention improves self-organization of cortical maps with multiple inputs
Convolutional and LSTM Neural Networks for Solar Power Forecasting
Maximum margin classifiers with noisy data: a robust optimization approach
Analyzing Learning Dynamics: How to Average?
A network pruning algorithm for combined function and derivative approximation
Predicting Bucket-Filling Control Actions of a Wheel-Loader Operator Using a Neural Network Ensemble
In vivo evaluations of retinal prostheses
Data Clustering Using a Modified Kuwahara Filter
SOM-based optimization
Locally imposing function for Generalized Constraint Neural Networks - A study on equality constraints
Multimodal Object Detection by Adaptive Channel Enhancement and Attention Fusion
Query Rephrasing for Context Independence in Scene Knowledge-guided Visual Grounding
Cognitive simulation of academic science
Dual-level Concept-aware Network for Video Captioning with Augmented Semantics
Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric
Emotion Detection using Periocular Region: A Cross-Dataset Study
Federated Distillation Meets Correlation-Based Pruning: Improving Accuracy under Differential Privacy
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers
Application of artificial neural networks to the geochemical study of an impacted fluvial system
A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems
How might the brain represent complex symbolic knowledge?
Improving electrocardiogram signal classification using the FlexPoints algorithm and convolutional long short-term memory networks
Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks
Improving classification accuracy by identifying and removing instances that should be misclassified
Synthetic Biometrics: A Survey
SVR-AVT: Scale Variation Robust Active Visual Tracking
EDSNet: A deep supervision-based classification framework for non-standard medical images of lung cancer
A Novel Automatic Framework for Scoliosis X-Ray Image Retrieval
OvA-INN: Continual Learning with Invertible Neural Networks
Self-regulated incremental clustering with focused preferences
AdaPT: Adaptive Policy Transfer for Multi-agent Reinforcement Learning with Domain Classifiers
Empirical investigation of the low temperature energy function of the Restricted Boltzmann Machine using a 1000 qubit D-Wave 2X
CoT-Planner: Chain-of-Thoughts as the Content Planner for Few-shot Table-to-Text Generation Reduces the Hallucinations from LLMs
Modified Elman neural network based neural adaptive inverse control of rate-dependent hysteresis
Self-Supervised Deep Learning for Retinal Vessel Segmentation Using Automatically Generated Labels from Multimodal Data
Optimal output gain algorithm for feed-forward network training
Neural Network Templates and Their Interpretation