yusuke1997/dblp-id-title huggingface dataset:
Eccentric regularization: minimizing hyperspherical energy without explicit projection
Estimation of states of a nonlinear plant using Dynamic Neural Network and Kalman Filter
Employing Temporal Information and Propagation Structure to Detect Rumors
A Unified Multi-output Semi-supervised Network for 3D Face Reconstruction
Inclusive normalization of face images to passport format
Pattern Classification by Evolutionary RBF Networks Ensemble Based on Multi-objective Optimization
Information Rate Maximization over a Resistive Grid
Prediction of membrane protein structures using a Projection based Meta-cognitive Radial Basis Function Network
DEval: Enhancing Large Language Models' Decoding with Evaluation for Better Generation
A Simplified Synthetic Attention Transformer for Single Image Deraining
YOLO-FEE: An Improved Fabric Defect Detection Model Based on YOLOv11s
Sparse Oblique Decision Trees: A Tool to Interpret Natural Language Processing Datasets
Benchmarking the semi-supervised naïve Bayes classifier
A linguistic CMAC equivalent to a Linguistic Decision Tree for classification
Deep Self-Organising Maps for efficient heterogeneous biomedical signatures extraction
Steganalysis of MP3Stego
A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture
Failure Mode Identification of Elastomer for Well Completion Systems using Mask R-CNN
A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation
Dynamically Weighted Classification with Clustering to tackle non-stationarity in Brain computer Interfacing
Simulation of a memristor-based spiking neural network immune to device variations
A Study of Local Optima for Learning Feature Interactions using Neural Networks
Wiener systems for reconstruction of missing seismic traces
Constrained LMS for dynamic flow networks
RoseNet: A Cross-Modal Incongruity Adaptive Graph Learning Network in Multimodal Sentiment Recognition
Accurate and Efficient Frame-based Event Representation for AER Object Recognition
Discriminating Information of Modality Contributions Network by Gating Mechanism and Multi-Task Learning
Vector Quantization System Based on Scalar SOM/AND-OR Hybrid Network
Direct torque control of induction motors by use of the GMR neural network
Preserving Data Manifold Structure in Latent Space for Exploration through Network Geodesics
Unsupervised deep kernel for high dimensional data
Using Neural Networks for Fault Diagnosis
Incremental learning of temporal sequences using state memory and a resource allocating network
DPCAI: Image Composition via Diffusion Prior and Compound Attention Injection
Exponential synchronization for a class of networked linear parabolic PDE systems via boundary control
Hopfield like networks for pattern recognition with application to face recognition
VulnTeam: A Team Collaboration Framework for LLM-based Vulnerability Detection
Class of all i-v dynamics for memristive elements in pattern recognition systems
Partial Transfer Learning for Fast Evolutionary Generative Adversarial Networks
Motor Imagery Classification Using TSK Fuzzy Inference Neural Networks
Evolutionary lazy learning for Naive Bayes classification
SSCD-Net: Semi-supervised Skin Cancer Diagnostical Network Combined with Curriculum Learning, Disease Relation and Clinical Information
On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios
Polyfit generative model: can a group of lower-order polynomials generate high resolution diverse images?
Face Super Resolution for VLQ facial images via parent patch matching
Improving Instance Selection via Metric Learning
Towards generating random forests via extremely randomized trees
Dynamically weighted majority voting for incremental learning and comparison of three boosting based approaches
Focus on Inherent Attributes for Temporal Knowledge Graph Completion
Using Topology-Aware Reinforcement Learning to Synthesize Quantum Linear Reversible Circuits
Automated Design of Neuromorphic Networks for Scientific Applications at the Edge
The implementation of wheeled robot using adaptive output recurrent CMAC
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
Model-based pupil and iris localization
A Two-Stage Feature Selection Algorithm Based on Redundancy and Relevance
Sparse representation based on matrix rank minimization and k-means clustering for recognition
FedRRA: Reputation-Aware Robust Federated Learning against Poisoning Attacks
Fuzzy Clustering Neural Network for Classification of ECG Beats
Classification of musical styles using liquid state machines
Exploiting Double Representation and Gated Multi-Head Cross-Attention for Polymers Properties Prediction
Generalization of neural networks to the complex plane
ICA through an LS-SVM based Kernel CCA Measure for Independence
Gene ontology fuzzy-enrichment analysis to investigate drug mode-of-action
Modified Capsule Neural Network (Mod-CapsNet) for Indoor Home Scene Recognition
Few-Shot High-Dimensional Feature Selection with Lagrange Programming Neural Networks
Attack detection in recommender systems based on target item analysis
Data driven modeling for UGI gasification process via a variable structure genetic BP neural network
Gaussian Processes with Context-Supported Priors for Active Object Localization
Modeling CMOS gate characteristics using independent component analysis
Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces
Learning Word Representation for the Cyber Security Vulnerability Domain
Knowledge-enhanced Multi-Granularity Interaction Network for Political Perspective Detection
An algorithm for pruning redundant modules in min-ma modular network [min-ma read min-max]
A Neural Network Using Single Multiplicative Spiking Neuron for Function Approximation and Classification
An Attention-Based Model for Learning Dynamic Interaction Networks
Enhancing Control Strategies for Hand Exoskeletons Through Modeling and Electromyogram-based Control
Chaotic neuro-computer prototype for quadratic assignment problems
Question Generation via Generative Adversarial Networks
An emotional controller PLC implementation for an industrial fan system
A research of target tracking algorithm based on deep learning and kernel correlation filter
Deep Feature Extraction for Data Assimilation with Ensemble Smoother
Auto-TabTransformer: Hierarchical Transformers for Self and Semi Supervised Learning in Tabular Data
Feature extraction for classification method using principal component based on conformal geometric algebra
Beating White-Box Defenses with Black-Box Attacks
A class-specific copy network for handling the rare word problem in neural machine translation
Energy-Efficient Seizure Detection Suitable for Low-Power Applications
Snap-drift learning for phrase recognition
Detection of traffic signs in real-world images: The German traffic sign detection benchmark
Modular neural associative memory capable of storage of large amounts of data
Support Feature Machines: Support vectors are not enough
Exponential C-Loss for data fitting
Microcalcification detection using Self Organizing Neuro Glia Network classifier
Facial Image Manipulation via Discriminative Decomposition of Semantic Space
Addressing Intermediate Verification Latency in Online Learning Through Immediate Pseudo-labeling and Oriented Synthetic Correction
Self-Supervised Pre-training for Time Series Classification
Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
Forecasting airborne pollen concentration of Poaceae (Grass) and Oleaceae (Olive), using Artificial Neural Networks and Genetic algorithms, in Thessaloniki, Greece
Building Semantic Cognitive Maps with Text Embedding and Clustering
A neural model for the adaptive control of saccadic eye movements
Partial synchronization of neural activity and information processing
Multi-scale anatomical awareness improves the accuracy of the real-time electric field estimation
A method for noise filtering with feed-forward neural networks: Analysis and comparison with low-pass and optimal filtering
Development of resistive memories based on silver doped graphene oxide for neuron simulation
DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation
Control of coffee grinding with Artificial Neural Networks
A New Time Series Framework for Forest Fire Risk Forecasting and Classification
Bounded Component Analysis of the training error
Predicting Household Water Consumption Events: Towards a Personalised Recommender System to Encourage Water-conscious Behaviour
Region enhanced neural Q-learning for solving model-based POMDPs
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
Development of autonomous flight control system for unmanned helicopter by use of neural networks
Multi-instance learning using recurrent neural networks
John Taylor, learning, attention, and consciousness
Mining E-commercial data: A text-rich heterogeneous network embedding approach
Self-organisation of language instruction for robot action control
A Novel Score-CAM based Denoiser for Spectrographic Signature Extraction without Ground Truth
Pattern Recognition for Industrial Monitoring and Security using the Fuzzy Sugeno Integral and Modular Neural Networks
Neural Net Analysis of the Propensity for Change in Large Software Systems
Explainable Access Control Policies Classification through Large Language Models
Parallel algorithms for a neurodynamic optimization system realized on GPU and applied to recovering compressively sensed signals
TargetSR:Towards Semantic location Real-World Image Super-Resolution with Diffusion Prior
Exploring time-series motifs through DTW-SOM
Recognition and classification of P300s in EEG signals by means of feature extraction using wavelet decomposition
Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization
Adaptive learning in motion analysis with self-organising maps
Conditioned adaptive behavior from Kalman filter trained recurrent networks
Efficient Levenberg-Marquardt minimization of the cross-entropy error function
Evolving Artificial Neural Networks through L-system and evolutionary computation
The H1 neural network trigger
Knowledge Grounded Pre-Trained Model For Dialogue Response Generation
Do CNNs Encode Data Augmentations?
A novel low complexity speech recognition approach
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP
SKAAL: Intelligent Voice Assistants Security Skill Scheme Based on Voiceprint Authentication and Authorization
Homogeneous Symptom Graph Attentive Reasoning Network for Herb Recommendation
Not All Contexts are Important: The Impact of Effective Context in Conversational Neural Machine Translation
Classifying means of transportation using mobile sensor data
Hierarchical ARTMAP
Angular Velocity Estimation of Image Motion Mimicking the Honeybee Tunnel Centring Behaviour
Contrastive Time Series Anomaly Detection by Temporal Transformations
STDP Learning of Image Patches with Convolutional Spiking Neural Networks
Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution
Large margin image set representation and classification
T 3 : Multi-level Tree-based Automatic Program Repair with Large Language Models
Training fast mixed-signal neural networks for data classification
Robustness of the NN Approach to emulating atmospheric long wave radiation in complex climate models
Training Deep Neural Networks with Adversarially Augmented Features for Small-scale Training Datasets
Spatio-Temporal Pre-Training Enhanced Fast Pure Tansformer Network for Traffic Flow Forecasting
Customer Life Time Value Model Framework Using Gradient Boost Trees with RANSAC Response Regularization
Myocardial Infarction Detection Using Video Frame Key-point and Gradient Matching
Voice-based gender identification via multiresolution frame classification of spectro-temporal maps
On a pulse-coupled network of spiking neurons having quantized state
Benchmarking Feature Extraction Techniques for Textual Data Stream Classification
Pseudo almost periodic solutions of impulsive recurrent neural networks with mixed delays
Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems
Optimization of Graph Neural Networks Training Using Graph Reordering
OPA2D: One-Pixel Attack, Detection, and Defense in Deep Neural Networks
A spatial summation model for image processing by artificial neural networks
A new neural network model for automatic generation of Gabor-like feature filters
Deep Embedding for Relation Extraction on Insufficient Labelled Data
A hybrid intelligent system clonart for short and mid-term forecasting for the Brazilian Energy Distribution System
A Hardware/Application Overlay Model for Large-Scale Neuromorphic Simulation
REMD: A Novel Hybrid Anomaly Detection Method Based on EMD and ARIMA
On The Stability of Interpretable Models
Context Gating with Short Temporal Information for Video Captioning
Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs
Hybrid neural networks for frequency estimation of unevenly sampled data
BISAR: Boosted input selection algorithm for regression
Boundedness and stability for the solutions of impulsive neural networks with time-varying delay
An iterative approach to local-PCA
Complex synaptic activation of bipolar, amacrine and ganglion cells is elicited with biphasic electrical stimulation
Bragg Curve Identification Using a Neural Network
Online Estimation of Dynamic Bayesian Network Parameter
Producing implicit diversity in ANN ensembles
On Design Choices in Similarity-Preserving Sparse Randomized Embeddings
Mining Daily Canonical Correlations among Multivariable Electricity, Gas and Climate Data
Micro-scale smart grid optimization
Supervised Kernel Transform Learning
Phase Transition Adaptation
QMKD: A Two-Stage Approach to Enhance Multi-Teacher Knowledge Distillation
Ineffectiveness in solving combinatorial optimization problems using a Hopfield network: a new perspective from aliasing effect
Causal Inference in Deep Learning Forecasting: A Bayesian Approach to Analyzing the Relationship between Employment Rate and Immigration
Neural networks to estimate ML multi-class constrained conditional probability density functions
Predictions tasks with words and sequences: Comparing a novel recurrent architecture with the Elman network
Quantifying Information in Similarity Matrices for Improved Representation Learning
Distill the Best, Ignore the Rest: A Study in Latent Dataset Distillation on Core-Sets
Design of a Morlet wavelet control algorithm using super-twisting sliding modes applied to an induction machine
MICA: multimodal independent component analysis
Parameter plane analysis of neurocontrol vehicle systems for limit cycle prediction
Long- and Short-Term Feature Fusion Network for River Velocity Forecasting: From Past to Future
Energy Efficient Online Stream Classification under Concept Drift on FPGAs for Edge Computing
An Attention-based Hybrid LSTM-CNN Model for Arrhythmias Classification
Applying Improved BP Neural Network In Underwater Targets Recognition
A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence
Face Recognition using new image representations
Scalable focussed entity resolution
A hybrid system ensemble based time series signal classification on driver alertness detection
A Bayesian Learning Network for Traffic Speed Forecasting with Uncertainty Quantification
A component based approach improves classification of discrete facial expressions over a holistic approach
Analysis Regarding The Learning-To-Learn Process In The Implementation Of A Meta-Supervised Algorithm For Few-Shot Learning
Multi-Task Learning for Pavement Disease Segmentation Using Wavelet Transform
Multiple alignment of contact maps
Improved modeling of pneumatic muscle actuator using recurrent neural network
SARA: Semantic-assisted Reinforced Active Learning for Entity Alignment
Surface EMG signals determinism analysis based on recurrence plot for hand grasps
OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Framework
Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning
Pruning with replacement and automatic distance metric detection in limited general regression neural networks
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles
Generating synthetic data using GANs fusion in the digital twins model for sonars
End-to-End Federated Learning for Autonomous Driving Vehicles
Vision-Based Analysis on Leaves of Tomato Crops for Classifying Nutrient Deficiency using Convolutional Neural Networks
The effect of the forget gate on bifurcation boundaries and dynamics in Recurrent Neural Networks and its implications for gradient-based optimization
Classification of medical data with a robust multi-level combination scheme
Local-Fusion Attention and Semantic-Augmentation Attention for Named Entity Recognition
"Freecell" neural network heuristics
Encoding logical constraints into neural network cost functions
Uncertainty Quantification Neural Network from Similarity and Sensitivity
UFO: Unified Fact Obtaining for Commonsense Question Answering
Context and Knowledge Enriched Transformer Framework for Emotion Recognition in Conversations
Real-time neurofuzzy control for an underactuated robot
On practical use of stagewise second-order backpropagation for multi-stage neural-network learning
Facial expression recognition under random block occlusion based on maximum likelihood estimation sparse representation
Personal Identification and Authentication in Multi-Task EEG Database Using EEGNet and Siamese Network
Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes
Cancer Drug Response Prediction Based on Graph Neural Networks and Cross-Attention
Protein secondary structure prediction using a fully complex-valued relaxation network
Person Re-identification with a Cloth-Changing Aware Transformer
Long-term Traffic Prediction Using Time-varying Adjacency Mask and Self-Smoothing Regularization
On the synergism of evolutionary neuro-fuzzy system
"Hard science" of psychology, physics of the mind
Hardware implementation of CMAC and B-spline neural networks for embedded applications
Weakly Supervised Video Anomaly Detection Based on Spatiotemporal Dual-Memory Enhancement and Contrastive Magnitude
Wafer-scale integration of analog neural networks
Effect of different detrending approaches on computational intelligence models of time series
Ground Reaction Force Estimation in a Quadruped Robot via Liquid State Networks
Online Action Detection by Long Short-term Transformer with Query Exemplars - transformer
Ability to skip steps emerging from chaotic dynamics
Refining Spherical K-Means for Clustering Documents
Semi-supervised Medical Image Segmentation with Confidence Calibration
Digital Watermark Perturbation for Adversarial Examples to Fool Deep Neural Networks
Human activity recognition based on mid-level representations in video surveillance applications
A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition
Independent component analysis applications in physics
A Modulation Front-End for Music Audio Tagging
A Study on Spatial and Temporal Visual Simulation of Nerve Excitement Propagation
Enhanced Medical Visual Question Answering Using Multi-Feature Fusion and Similarity-Based Answer Selection
Multi-perspective Feature Generation Based on Attention Mechanism
Philosophy-Guided Modelling and Implementation of Adaptation and Control in Complex Systems
Data Driven Learning of Aperiodic Nonlinear Dynamic Systems Using Spike Based Reservoirs-in-Reservoir
The Mechanism of Thought
Programmable Kernel Analog VLSI Convolution Chip for Real Time Vision Processing
Investigating the influence of feature correlations on automatic relevance determination
Learning Fine Positioning of a Robot Manipulator Based on Gabor Wavelets
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 2
Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data
Intelligent landing control based on neural-fuzzy-GA hybrid system
From low negative correlation learning to high negative correlation learning
A label compression coding approach through maximizing dependence between features and labels for multi-label classification
Decision making guided by emotion
ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm Generator
Feature selection of pathway markers for microarray-based disease classification using negatively correlated feature sets
Region analysis through close contour transformation using growing neural gas
Overlapped Multi-Neural-Network: A Case Study
Detection of propagating phase gradients in EEG signals using Model Field Theory of non-Gaussian mixtures
A fast coreset minimum enclosing ball kernel machines
Learning Similarity: Feature-Aligning Network for Few-shot Action Recognition
Application of modified ant colony optimization for computer aided bleeding detection system
Fast training of an MLP based neurocontroller using EBUDS
Embedded locality discriminant GPLVM for dimensionality reduction
Adversarially Smoothed Feature Alignment for Visual Domain Adaptation
L-SLAM: Reduced dimensionality FastSLAM algorithms
A feedforward neural networks (FNN) used for semiconductor wafer fabrication parameters optimization
An ensemble of Extreme Learning Machine for prediction of wind force and moment coefficients in marine vessels
Using data-mining techniques for PM10 forecasting in the metropolitan area of Thessaloniki, Greece
Text Classification Based On Word Subspace With Term-Frequency
Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets
Improving ATR performance by incorporating virtual negative examples
Roles of learning rates, artificial process noise and square root filtering for extended Kalman filter training
MaD: A Dataset for Interview-based BPM in Business Process Management
A double integrated neural network for identification of geometrical features dependency in lumped models
Estimation of global solar irradiance with LDR sensor and artificial neural network embedded in an 8-bit microcontroller
Cursor-based Adaptive Quantization for Deep Convolutional Neural Network
Accelerating Motion Perception Model Mimics the Visual Neuronal Ensemble of Crab
Zero-shot Adaptive Low Light Enhancement with Retinex Decomposition and Hybrid Curve Estimation
A Double Feature Fusion Network with Progressive Learning for Sharper Inpainting
Human face recognition based on radial basis probabilistic neural network
An improved extreme learning machine with adaptive growth of hidden nodes based on particle swarm optimization
A stochastic training technique for feed-forward neural networks
Improving anytime behavior for traffic signal control optimization based on NSGA-II and local search
NotiFi: A ubiquitous WiFi-based abnormal activity detection system
Data-driven Approach for Fatigue Assessment in Swimming Athletes
Classifiers based on Bernoulli mixture models for text mining and handwriting recognition tasks
Analysis of Gene Expression Time Series Data of Ebola Vaccine response using the NeuCube and Temporal Feature Selection
EEG feature learning with Intrinsic Plasticity based Deep Echo State Network
B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels
Unsupervised collaborative boosting of clustering: An unifying framework for multi-view clustering, multiple consensus clusterings and alternative clustering
Edge AI Online Training Architecture Using Multi-Phase-Quantization Optimizer
Adaptive Weighted Triplet Loss with CBAM Integration for Federated Learning