yusuke1997/dblp-id-title huggingface dataset:
TF-DPNet: A Time-Frequency with Dual Perspectives Network for Multivariate Time Series Prediction
Physiological-Based Emotion Detection and Recognition in a Video Game Context
A model of lateralization and asymmetries in cortical maps
Bolstering Adversarial Robustness with Latent Disparity Regularization
Semi-supervised co-selection: Features and instances by a weighting approach
2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition
Improving multi-label classification performance by label constraints
MAFNet: Multi-domain Features Attention-Based Fusion Network for Cross-Subject Motor Imagery Classification
HEFNet: Hierarchical Unimodal Enhancement and Multi-modal Fusion for RGB-T Salient Object Detection
The learning convergence of High Dimension CMAC_GBF
ECG Segmentation by Neural Networks: Errors and Correction
Virtual drug screening using neural networks
Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems
Predicting Solar X-ray Flux Using Deep Learning Techniques
Determining Wave Height from Nearshore Videos Based on Multi-level Spatiotemporal Feature Fusion
Towards insightful algorithm selection for optimisation using meta-learning concepts
OAA: An Abstraction for Efficient Accelerator Adaptation in Deep Learning Frameworks
Deep Learning Single Logo Recognition with Data Enhancement by Shape Context
Design of an optimized continuous mini-bolus thermodilution cardiac output monitor using artificial neural networks and genetic algorithms
Discovering novelty in spatio/temporal data using one-class support vector machines
Enhancing Discriminative Ability among Similar Classes with Guidance of Text-Image Correlation for Unsupervised Domain Adaptation
A Multi-Attention Network with Multi-Level Spatial-Spectral Feature Fusion Based on Band Selection for Hyperspectral Image Classification
Automatic detection of the support points in relational clustering
Prototypical Contrastive Learning for Domain Adaptive Semantic Segmentation
Boosting Online Feature Transfer via Separable Feature Fusion
BRAVE: Brain-Controlled Prosthetic Arm with Voice Integration and Embodied Learning for Enhanced Mobility
Application of Self-Organizing Map in Aerosol Single Particles Data Clustering
Multimodal Emotion Recognition using Deep Continuous Conditional Recurrent Neural Fields
The detection of multiple moving objects using fast level set method
TeLCoS: OnDevice Text Localization with Clustering of Script
Experimental studies with a hybrid model of unsupervised neural networks
A self-regulating clustering algorithm for identification of minimal cluster configuration
On the Performance of the HONG Network for Pattern Classification
Selective Memory Replay Improves Exploration in a Spiking Wavefront Planner
Sets with incomplete and missing data - NN radar signal classification
Unsupervised Domain Adaptation with Sphere Retracting Transformation
A Reduced Multivariate Polynomial Based Neural Network Model Pattern Classifier for Freeway Incident Detection
An extended Hopfield model for combinatorial optimization
Regularizing neural networks with adaptive local drop
High Capacity Neural Block Classifiers with Logistic Neurons and Random Coding
Spatiotemporal adaptive hybrid dynamic graph convolutional network for traffic flow prediction
Evolutionary Neural Architecture Search for Image Restoration
Analysing rotation-invariance of a log-polar transformation in convolutional neural networks
Distal dendrite feedback in hierarchical temporal memory
Stiefel-Grassman Flow (SGF) Learning: Further Results
An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews
Real-time face shape and position recognition by a two-D spreading associative neural network
Federated Learning with Patient-Annotated Data in Epileptic Seizure Detection
Natural language neural network and its application to question-answering system
Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms
A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters
An interactive optimization procedure for stereophonic acoustic echo cancellation systems
An incremental growing neural gas learns topologies
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling
Discriminative Hat Matrix: A new tool for outlier identification and linear regression
Batch learning competitive associative net and its application to time series prediction
A RAM-based neural network for collision avoidance in a mobile robot
Computational intelligence methods for underwater magnetic-based protection systems
Goal-Directed Property of On-line Direct Inverse Modeling
ST-QAT: Leveraging Self-Training to Enhance Quantization-Aware Training
A novel portfolio optimization method for foreign currency investment
Anomaly Detection in Surveillance Videos via Memory-augmented Frame Prediction
Combining linear equalization and self-organizing adaptation in dynamic discrete-signal detection
Find and Dig: A Privacy-Preserving Image Processing Mechanism in Deep Neural Networks for Mobile Computation
Robustness of power laws in degree distributions for spiking neural networks
Multi-feature Classification of Hyperspectral Image via Probabilistic SVM and Guided Filter
Prediction of Strawberry Yield and Farm Price Utilizing Deep Learning
Descending epsilon in back-propagation: a technique for better generalization
Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types
Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification
Improving STDP-based Visual Feature Learning with Whitening
A gradient descending solution to the LASSO criteria
Exact Representations from Feed-Forward Networks
Disruptive Attacks on Face Swapping via Low-Frequency Perceptual Perturbations
Pruning the Unimportant or Redundant Filters? Synergy Makes Better
Neural Population Coding for Effective Temporal Classification
Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method
RelationNet2: Deep Comparison Network for Few-Shot Learning
Combining cross-validation and confidence to measure fitness
SQNL: A New Computationally Efficient Activation Function
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?
UUCT - HyMP: Towards Tracking Dispersed Crowd Groups from UAVs
Fast bootstrap applied to LS-SVM for long term prediction of time series
Two-layer dynamic neural field learning law basec on controlled Lyapunov functions
A Brain-Inspired Causal Reasoning Model Based on Spiking Neural Networks
A Self-Organizing Map Based Approach for Document Clustering and Visualization
LSTM in Recursive Feedback Loops: A Study on Textual Evolution and Complexity
Speaker Characteristics Guided Speech Synthesis
Persona aware Response Generation with Emotions
A time window neural network based framework for Remaining Useful Life estimation
Goal-Aware Neural SAT Solver
A CNN model of multi-dimensional stimulus selectivity in primary visual cortex
Improvements in Brazilian Portuguese Speech Emotion Recognition and its extension to Latin Corpora
Optimal controller synthesis of variable-time impulsive problems using single network adaptive critics
View-Robust Backbone and Discriminative Reconstruction for Few-Shot Fine-Grained Image Classification
SPAFusion: Multi-focus Image Fusion based on Shift Patch Attention
A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems
Comparison between inverse modelling and data assimilation to estimate rainfall from runoff using the multilayer perceptron
Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data
Sensor signal clustering with Self-Organizing Maps
GATSY: Graph Attention Network for Music Artist Similarity
Time-Aware Representation Learning of Knowledge Graphs
A Binary PSO Approach for Real Time Optimal Balancing of Electrochemical Cells
A biologically inspired connectionist model for image feature extraction in 2D pattern recognition
Online temporal pattern learning
Structure and Parameter Learning Algorithm of Jordan Type Recurrent Neural Networks
Cost-sensitive one-vs-one ensemble for multi-class imbalanced data
Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing
Justification of a Neuron-Adaptive Activation Function
A new adaptive control algorithm based on signal characterization
Hybrid world object tracking for a virtual teaching agent
A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions
GiTS: Gist-driven Text Segmentation
Speech recognition through physical reservoir computing with neuromorphic nanowire networks
Which method to use for optimal structure and function representation of large spiking neural networks: A case study on the NeuCube architecture
Training a two-choice decision-making model with environment feedback
ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs
A Protocol for Testing Conscious Learning Robots
Expert systems and artificial neural networks applied to stellar optical spectroscopy: a comparative analysis
HI-SQL: Optimizing Text-to-SQL Systems through Dynamic Hint Integration
Bidirectional Cross-Attention Spatio-Temporal Transformer for Traffic Flow Prediction
Recursive autoconvolution for unsupervised learning of convolutional neural networks
Brains as optimal emergent Turing Machines
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks
SPSN: Seed Point Selection Network in Point Cloud Instance Segmentation
Meta-Reward Model Based on Trajectory Data with k-Nearest Neighbors Method
A systematic algorithm to escape from local minima in training feed-forward neural networks
MaxEnt Dreamer: Maximum Entropy Reinforcement Learning with World Model
Incipient fault detection and diagnosis using artificial neural networks
Attention-Based Deep Neural Network for Point Cloud Learning
Improving machine vision via incorporating expectation-maximization into Deep Spatio-Temporal learning
Long-Term Power Consumption Prediction with Two-Stage Clustering Framework
A Google approach for computational intelligence in big data
Chinese Character identification by visual features using self-organizing map sets and relevance feedback
Semi-supervised auto-encoder based on manifold learning
RDLinear: A Novel Time Series Forecasting Model Based on Decomposition with RevIN
Writer-independent feature learning for Offline Signature Verification using Deep Convolutional Neural Networks
The global kernel k-means clustering algorithm
NFE-Net: Detection and Segmentation of Thyroid Nodules in Ultrasound Images Based on Nodule Feature Enhanced
Att-DARTS: Differentiable Neural Architecture Search for Attention
Improving Sequential Recommendation via Subsequence Extraction
Input variable selection using independent component analysis
The Extended Kernel Adaptive Autoregressive-Moving-Average Algorithm
Parallel Learning of Large Fuzzy Cognitive Maps
Federated Unlearning in Healthcare: Why It Matters
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning
Music genre classification with Self-Organizing Maps and edit distance
Lightweight Model Uncertainty Estimation for Deep Neural Object Detection
MI-GNN: Multi-Interaction GNN for Various Weak Information Learning on Graphs
MoHyperSynergy: A multimodal representation fusion method using hypergraph neural networks for drug synergy prediction
Sparse channel estimation with regularization method using convolution inequality for entropy
Enhanced Two-Phase method in fast learning algorithms
Maximally discriminative spectral feature projections using mutual information
Mapping Override Behavior: Investigating Why and How Artists Reject AI Suggestions in Collaborative Creation
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory
Deep learning based nonlinear principal component analysis for industrial process fault detection
A hybrid algorithm for fuzzy clustering based on global and local membership degree
Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction
Natural Language Explanation Generation for Question Answering
A Reservoir Sampling Algorithm with Adaptive Estimation of Conditional Expectation
Relative Vehicle Velocity Estimation Using Monocular Video Stream
Landmine visualization system based on multiple complex-valued SOMs to integrate multimodal information
Machine Learning for Surgical Risk Assessment Decision Systems
An autonomous trader agent for the stock market based on online sequential extreme learning machine ensemble
A Neural Network pruning approach based on Compressive Sampling
Adaptive control of discrete-time nonlinear systems by recurrent neural networks in a Quasi Sliding mode regime
Power System Stability enhancement by Single Network Adaptive Critic Stabilizers
Randomized approach to verification of neural networks
Parallel structured independent component analysis for SIMO-model-based blind separation and deconvolution of convolutive speech mixture
Progressive Self-Guided Hardness Distillation for Fine-Grained Visual Classification
Learnable Query Guided Representation Learning for Treatment Effect Estimation
Fast AdaBoost training using weighted novelty selection
High Order Neural Networks for wind speed time series prediction
Interaction of CBC Loops Involved in Working Memory Feedback Training
A review on evolution of Lyapunov-Krasovskii function in stability analysis of recurrent neural networks with single time-varying delay
CHIMERA: creating a new generation chip by brain guidance
Chemical Property Relation Guided Few-Shot Molecular Property Prediction
The application of techniques of neural network to product structure analysis of iron and steel corporation
Agents based approach for smart eco-home environments
Adding a Healing Mechanism in the Self-Organizing Feature Map Algorithm
A Reduced-Scale Cortical Network with Izhikevich's Neurons on SpiNNaker
Neural Network based Sensor for Classification of Material Type and its Surface Properties
Multi-Agent Deep Reinforcement Learning with Emergent Communication
Identifying riskier combinations of risky behavior using a self-organizing map
Low-Resolution Face Recognition via Adaptable Instance-Relation Distillation
Applying Neural-Symbolic Cognitive Agents in Intelligent Transport Systems to reduce CO2 emissions
Repeated Game Analysis on ART Adaptive Categorization Game
BER Performance Improvement of Biased PCC-OFDM with Neural Phase Rotator by Suppressing ICI
GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading
Self-supervised Learning based on Domain Interpolation for Histopathological Image Analysis
A memetic algorithm based extreme learning machine for classification
A Semi-Supervised Clustering Approach Using Nonlinear Canonical Correlation Analysis with t-SNE
Text Classification Using Gated and Transposed Attention Networks
Deep Robust Data Reconstruction via Smoothed L1-Autoencoder and Layerwise Sparse Group Lasso
Event-sampled adaptive neural network control of robot manipulators
Multi-Task Collaborative Attention Network for Pedestrian Attribute Recognition
Extra output biased learning
Sentiment Analysis using BLSTM-ResNet on Textual Images
Flexible self-organizing maps by information maximization
GA based optimization of NN-SANARX model for adaptive control of nonlinear systems
Least square Support Vector Machine for large-scale dataset
MKPR-GAT : Personalized Recommendation Algorithm for Traditional Chinese Medicine Prescription Based on Knowledge Graph
Based on Adaptive Layer-wise Parameter Recombination
Speaking in Words, Thinking in Logic: A Dual-Process Framework in QA Systems
Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification
Dy-Sigma: A Generalized Accelerated Convergence Strategy for Diffusion Models
EEG based artificial learning of motor coordination for visually inspired task using neural networks
A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel
A neural approach for robot navigation based on cognitive map learning
Self-Training with Contrastive Learning for Adversarial Domain Adaptation
Kernel based Clustering and Vector Quantization for Speech Segmentation
A novel neural learning algorithm for multilayer perceptrons
Intermittent fault estimation for satellite attitude control systems based on the unknown input observer
Selection of the Suitable Neighborhood Size for the ISOMAP Algorithm
Integrating spatial and temporal mechanisms in auditory neural fiber's computational model
A Position-aware Transformation Network for Aspect-level Sentiment Classification
Evaluating Complex Sparse Representation of Hypervectors for Unsupervised Machine Learning
Multi-task beta process sparse kernel machines
MALT: Multi-scale Action Learning Transformer for Online Action Detection
VT-GAN: View Transformation GAN for Gait Recognition Across Views
A two-phase representation based face recognition method with 'random-filtering' virtual samples
Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records
Learning multiple pooling combination for image classification
LLaVA-PlantDiag: Integrating Large-scale Vision-Language Abilities for Conversational Plant Pathology Diagnosis
Addressing to online adaptive controller malfunction in fault tolerant control
Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor
A support vector hierarchical method for multi-class classification and rejection
ODE: Decision-based Black-box Adversarial Attack through Orthogonal Distribution Evolution
Adaptive Model Compression of Ensembles for Evolving Data Streams Forecasting
Learning Meta Model for Strong Generalization Deepfake Detection
Some fundamental issues in ensemble methods
Causality-Guided Policy Optimization in Reinforcement Learning
Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos
Multi-masks and Bi-spaces Reconstruction based Single-Layer Auto-encoder for Heterogeneous Graph Representation Learning
Supervised link prediction in weighted networks
Synchronization-based data gathering scheme using chaotic pulse-coupled neural networks in wireless sensor networks
Comparison of two linear models for estimating brain deformation during surgery using finite element method
Partial Object Recognition for Improving Novelty Detection in Videos
Structured sparse coding method for infrared small target detection in video sequence
MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models
Neural Network Based State Estimation of Dynamical Systems
Self-Organizing-Maps Based Undersampling for the Classification of Unbalanced Datasets
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks
COFormer: Co-optimisation Transformer of Multilayer Perceptron and Dilated Causal Convolution for Long Sequence Time Series Forecasting
Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines
Time series prediction with recurrent neural networks using a hybrid PSO-EA algorithm
On-line system identification using context discernment
Multiplicative Stochastic Gradient Descent for fast and robust deep learning training
Masked Conditional Diffusion Model for Enhancing Deepfake Detection
Deep auto-encoder neural networks in reinforcement learning
The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features
Is learning by reading a book better than watching a movie? A computational analysis of semantic concept network growth during text and multimedia comprehension
Lightweight Object Detection via Joint Region-Context Feature Representation
Real time vehicle speed prediction using a Neural Network Traffic Model
Assembly of Echo State Networks Driven by Segregated Low Dimensional Signals
Time-delayed self-organizing maps
Semi-supervised local-learning-based feature selection
Sapient (Wise) Systems: Implementations, Design, and Operation
Using EEG artifacts for BCI applications
IA-CNN: A generalised interpretable convolutional neural network with attention mechanism
Feedback Neurocontrol of a Disease
A Comparison among Weight Initialization Methods for Multilayer Feedforward Networks
Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data
Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT
Magnitude comparison in analog spiking neural assemblies
Meta-level Experience Sharing for Autonomous Systems by Fusing Generative Hierarchical Dynamic Bayesian Networks
Neural coding model of perceptual reconstruction using the morphoelectrotonic transform theory
A Rationale-Guided Multi-Task Learning Framework for Hate Speech Detection
Exploring Smart Grid Time-of-Use Tariffs using a Robust Optimisation Framework
Hourglass Face Detector for Hard Face
Document fraud detection by ink analysis using texture features and histogram matching
Using Q-learning Algorithm for Initialization of the GRASP Metaheuristic and Genetic Algorithm
GAN-based Data Augmentation of Railway Track Irregularities for Fault Diagnosis
Multi-view hard c-means with automated weighting of views and variables
Neural Morphological Segmentation Model for Mongolian
Energy-Efficient Multi-UAV Collaborative Path Planning using Levy Flight and Improved Gray Wolf Optimization
Fault Detection and Diagnosis in a Chemical Process using Long Short-Term Memory Recurrent Neural Network
Performance of RBF equalizer in data storage channels
IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relation
Solving unbalanced problems in similarity learning using SVM ensemble
Information Extraction of Domain-Specific Business Documents with Limited Data
Video scene classification and segmentation based on Support Vector Machine
Closing the Simulation-to-Reality Gap using Generative Neural Networks: Training Object Detectors for Soccer Robotics in Simulation as a Case Study
Computer networking topological and parametric representations for functional neural networks
Dynamic neural network-based estimator for fault diagnosis in reaction wheel actuator of satellite attitude control system
Kernel and Nonlinear Canonical Correlation Analysis
Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks
Restoring images with a multiscale neural network based technique
Stereo where-what networks: Unsupervised binocular feature learning
Computationally efficient process control with neural networkbased predictive models
ICLR: Coupling In-Context Learning with Refiner for Aspect Term Extraction
Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging
openLG: A Tunable and Efficient Open-source LSTM on GPUs
Comparison of TDNN training algorithms in brain machine interfaces
Neural network control for leg rhythmic movements via functional electrical stimulation
Adaptive Normalization: A novel data normalization approach for non-stationary time series
A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation
Assessing Self-Organization Using Order Metrics
Improved chaotic neuro-computer with output-coding for quadratic assignment problems
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction
Active Suspension Performance Enhancement Based on Improved DDPG Algorithms
Study on the Method of Progressive Restoration of Defective Chinese Characters
Self organizing maps with the correntropy induced metric
BRAFL: Byzantine-Robust Aggregation Scheme for Federated Learning under Data Heterogeneity
DML Mask R-CNN: addressing Dependent Multi-Label defect detection with severity estimation in manufacturing
Using Graphs to Analyze High-Dimensional Classifiers
An adaptive forecasting strategy with hybrid ensemble models
Explainable exclusion in the life insurance using multi-label classifier