yusuke1997/dblp-id-title huggingface dataset:
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering
Online Hyperparameter Optimization for Streaming Neural Networks
Consistent Density Function Estimation with Multilayer Perceptrons
Classifier learning from difficult data on the example of missing features
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification
A developmental perspective on humanoid skill learning using a hierarchical SOM-based encoding
Online parts-based feature discovery using competitive activation neural networks
Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces
Offline Arabic Handwritten recognition system with dropout applied in Deep networks based-SVMs
Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications
Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing
A Novel and Efficient Neuro-Fuzzy Classifier for Medical Diagnosis
UMDSF: Unified Model With Dynamic-Static Features for Personalized Recommendation
A biologically-inspired locally-connected spiking network for efficient and robust ground reaction force estimation in a legged robot
Optimizing Weight Value Quantization for CNN Inference
Generate and Revise: Reinforcement Learning in Neural Poetry
Reduction of Dimensionality for Perceptual Clustering
Electrode-cell distance estimation method, based on spatial potential patterns of spiking cells
A Comparative Study of Methods for Visualizable Semantic Embedding of Small Text Corpora
Can a reinforcement learning agent practice before it starts learning?
GCL-CCSE: Empowering Graph Constrastive Learning with Consolidated Community and Subgraph Essentials
Application of fuzzy classification by evolutionary neural network in incipient fault detection of power transformer
Neurodynamics-based model predictive control of autonomous underwater vehicles in vertical plane
Artificial neural networks for predicting the optimal number of kanbans in a JIT manufacturing environment
Detecting Customer Induced Damages in Motherboards with Deep Neural Networks
Analyzing and predicting concurrency bugs in open source systems
Convolutional RNN: An enhanced model for extracting features from sequential data
PROMISE: A Taxi Recommender System Based on Inter-regional Passenger Mobility
Using Ensembles of Neural Networks to Improve Automatic Relevance Determination
A Mixture of Experts with Adaptive Semantic Encoding for Event Detection
Robust Causal Learning for the Estimation of Average Treatment Effects
On the Discriminative Power of Learned vs. Hand-Crafted Features for Crowd Density Analysis
Chaotic states caused by discontinuous resetting process in spiking neuron model
Does plasticity promote criticality?
Efficient Human-like Memory Management based on Walsh-based Associative Memory for Real-time Pattern Recognition
Filtering SAR imagery for edge detection using support value transform
Explore to see, learn to perceive, get the actions for free: SKILLABILITY
Meta-Path Generation Online for Heterogeneous Network Embedding
Entropy partition method and its application for discrete variables and continuous variables
A unified framework for Volatile Organic Compound classification and regression
A GA-based flexible learning algorithm with error tolerance for digital binary neural networks
Curiosity driven incremental LDA agent active learning
Audio-to-Image Cross-Modal Generation
Local binary pattern based facial expression recognition using Self-organizing Map
Spinal Stenosis Detection in MRI using Modular Coordinate Convolutional Attention Networks
VFL-RPS: Relevant Participant Selection in Vertical Federated Learning
Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning
Risk and Trust Perceptions of the Public of Artifical Intelligence Applications
Stochastic Discriminant Analysis
Federated Loss Exploration for Improved Convergence on Non-IID Data
Vibrated synchronization features neural network
Efficient k-means++ with random projection
Hierarchical Dual-Branch Attention Transformer for Micro-Expression Recognition
Signal Self Organizing Map
Hybrid model with dynamic architecture for forecasting time series
Adaptive driver assistance system based on Traffic Information Saliency Map
Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure
Data classification combining Self-Organizing Maps and Informative Nearest Neighbor
Outdoor-To-Indoor Power Prediction for 768 MHZ Wireless Mobile Transmission Using Multilayer Perceptron
Interactive Double Graph Convolutional Networks for Aspect-based Sentiment Analysis
Sensorless ANN-Based Speed Estimation of Synchronous Generators: Improved Performance through Physically Motivated Pre-filters
Dataset complexity can help to generate accurate ensembles of k-nearest neighbors
International Joint Conference Neural Networks, IJCNN 1999, Washington, DC, USA, July 10-16, 1999
Aggregating pixel-level prediction and cluster-level texton occurrence within superpixel voting for roadside vegetation classification
Efficient Classification of Seismic Textures
Efficient Manifold-Constrained Neural ODE for High-Dimensional Datasets
Neural Time-Invariant Causal Discovery from Time Series Data
Robotic grasp detection using effective graspable feature selection and precise classification
GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks
A multi-view multi-dimensional ensemble learning approach to mining business process deviances
Temporal BYY learning and its applications to extended Kalman filtering, hidden Markov model, and sensor-motor integration
Estimating Market Value of Companies Based on Finance Statement through Data Fusion
Optimizing Ship Length Estimates from ISAR Images
A new evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms: The case of neural networks optimization
Optimization techniques applied to neural networks: Line search implementation for back propagation
Online Evolving Spiking Neural Networks for Incremental Air Pollution Prediction
Global stability analysis using the method of Reduction Of Dissipativity Domain
CMAN: Compact Modality Alignment Network With Dual Stream Transformer For Visible-Infrared Person Re-identification
Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations
DAGCN: Dual Attention Graph Convolutional Networks
Feature extraction analysis using filter banks for faults classification in induction motors
Feature Ranking and Selection for Intrusion Detection Using Artificial Neural Networks and Statistical Methods
SOMNet: Unsupervised Feature Learning Networks for Image Classification
Long-Short Term Memory Networks for Modelling Embodied Mathematical Cognition in Robots
Change Your Singer: A Transfer Learning Generative Adversarial Framework for Song to Song Conversion
Enhancing Node Classification on Graphs via Stepwise Diffusion Contrastive Learning
Hierarchical Information Fusion Graph Neural Networks for Chinese Implicit Rhetorical Questions Recognition
Comparison of the Bayesian and neural network algorithms in nonlinear navigation estimation problems
Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models
Dual-domain Collaboration Learning Network for Camouflaged Object Detection
Statistical method of pruning neural networks
BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers
Enhancing Sequential Recommendations with Sequence Diffusion Models for Long-Tail Users
Exploiting Cliques for Granular Computing-based Graph Classification
Image retrieval using the curvature scale space (CSS) descriptor and the self-organizing map (SOM) model under scale invariance
Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design
Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance
KD-VSUM: A Vision Guided Models for Multimodal Abstractive Summarization with Knowledge Distillation
Visualization of radial basis function networks
Complex Network Measures for Data Classification
Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks
Enhancing Image-Text Retrieval with Phrase-aware and Modality Difference-aware Embeddings
A new kind of Hopfield networks for finding global optimum
Limit Cycle Prediction of a Neural Vehicle Control System with Gain-Phase Margin Tester
Treatment of missing data using neural networks and genetic algorithms
Delay-Sensitive Local Plasticity in Echo State Networks
Active training on the CMAC neural network
DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks
Cross-Graph Relational Knowledge Distillation with Lightweight ST-GCN for Gait Disorder Recognition
Decoupling Local and Cross-Regional Transmission Dynamics for Enhanced COVID-19 Forecasting
Incremental Learning Based Subspace Modeling for Distributed Parameter Systems
Leveraging Large Language Models for Tacit Knowledge Discovery in Organizational Contexts
Training a spiking neural network to control a 4-DoF robotic arm based on Spike Timing-Dependent Plasticity
Encrypted Traffic Classification with Graph Sketch-Based Traffic Representation
Problem Solving with Hopfield Networks and Adiabatic Quantum Computing
Non-Gaussian component analysis using Density Gradient Covariance matrix
Vision, analog networks, and the minimum norm constraint
Multiple classifier hierarchical architecture for handwritten Arabic character recognition
Forecasting electricity prices using a RBF neural network With GARCH errors
Introducing a training methodology for cellular neural networks solving partial differential equations
Software defect prediction using static code metrics underestimates defect-proneness
Unscented grid filtering and elman recurrent networks
Performance of entire-spectrum-processing complex-valued neural-network filter to generate digital elevation model in interferometric radar
MATIBL: Multi-level Augmented Trajectory Imputation via Bootstrapping Learning
Extracting knowledge from temporal clusters for real-time clustering
Deep Learning for Illumination Invariant Facial Expression Recognition
HAMLET - A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection
Olfactory Paradigm for Reactive Brain-Computer Interface: EEG Response Spatial Visualization and Clustering
LATTICESVM - A new method for multi-class Support Vector machines
Linguistic feature extraction using independent component analysis
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection
ReNIE: Semantic Retrieval and Negative Instances Augmented Information Extraction
GuidedLatent: Defending VAEs against Membership Inference Attacks via Distribution-Guided Privacy
Localized neural network based distributional learning for knowledge discovery in protein databases
Causal Graph Representation Learning for Outcome-Oriented Link Prediction
RNN and SOM based classifier to recognize assamese fricative sounds designed using frame based temporal feature sets
Neural network technology for strata strength characterization
Application of Bhattacharyya kernel-based Centroid Neural Network to the classification of audio signals
A neural architecture to identify courtesy amount delimiters
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
Reference time in SpikeProp
Connectionist Reinforcement Learning with Cursory Intrinsic Motivations and Linear Dependencies to Multiple Representations
Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs
AMRUNet: An Attention-Guided MultiResUNet for Continuous Noninvasive Blood Pressure Estimation
An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering
Improved generalisation using cooperative learning and rule extraction
Improving Robustness Verification of Neural Networks with General Activation Functions via Branching and Optimization
Multi-sensory integration using sparse spatio-temporal encoding
Local learning rules for spiking neurons with dendrite
GLFormer: A Lightweight Vision Transformer for Balancing Global and Local Information
Financial Market Volatility Forecasting Based on Domain Adaptation
Analysis of autoassociative mapping neural networks
Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights
Object Detection with Spiking Neural Networks on Automotive Event Data
DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection
A novel multiple experts and fusion based segmentation algorithm for cursive handwriting recognition
Rule-based classification approach for railway wagon health monitoring
FoLaR: Foggy Latent Representations for Reinforcement Learning with Partial Observability
Regression Analysis for Rival Penalized Competitive Learning Binary Tree
Dense Broad Learning System based on Conjugate Gradient
Visual entity linking
Tree-structured Auxiliary Online Knowledge Distillation
Image Co-segmentation with Multi-Scale Dual-Cross Correlation Network
Recognition of Seed Varieties Using Neural Networks Analysis of Electrophoretic Images
Integrating Gradient and Mask-based Approaches for Vision Transformer Explainability
Design of a new subretinal implant for prosthetic vision
Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next
A Character-Enhanced Chinese Word Embedding Model
FPGA Implementation of FastICA based on Floating-Point Arithmetic Design for Real-Time Blind Source Separation
A KAN-SHAP Framework for Fault Detection and Analysis in Smart Grids
An Effective Approach for Malware Detection and Explanation via Deep Learning Analysis
Behavior-Reinforced Latent Alignment for Generating Functional Neural Spike Patterns *
Recursive neural networks for object detection
Neural-ICA and wavelet transform for artifacts removal in surface EMG
Defense against Adversarial Attacks with an Induced Class
3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization
A short length window-based method for islanding detection in distributed generation
Cluster cooperative output regulation of heterogeneous linear multi-agent systems with multiple leaders
Feature subset selection via multi-objective genetic algorithm
Predicting visually-modulated precisely-timed spikes across a coordinated and comprehensive motor program
Model-agnostic nonconformity functions for conformal classification
A Centerness Peak Based Clustering Algorithm
Hidden space discriminant neighborhood embedding
Federated Survival Forests
Predicting Human Decision Making with LSTM
Working memory and spontaneous activity of cell assemblies. A biologically motivated computational model
Macro Discourse Relation Recogniztion Based on Micro Discourse Structure and Self-Interactive Attention Network
Non-feasible gradient projection recurrent neural network for equality constrained optimization
Integration of Classification and Segmentation for Computer-Aided Diagnosis System of Drowning
Universal approximation with Fuzzy ART and Fuzzy ARTMAP
Dynamic Polyhedral Heterogeneous Graph Learning for Stock Correlation Analysis
A study on on-line learning of NNTrees
Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree
Principles and applications of the cortical column symbolic neural model
Computational promise of simultaneous recurrent network with a stochastic search mechanism
RNA-seq data analysis using nonparametric Gaussian process models
Energy savings in HVAC systems using discrete model-based predictive control
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering
Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech
PEAs in PODs: Co-Production of Community Based Public Engagement for Data and AI Research
Beyond Accuracy: The Role of Calibration in Computational Pathology
Computational Creativity by Generative Adversial Network with Leaked Information
Forecasting COVID-19 pandemic using an echo state neural network-based framework
Motion Integration and Disambiguation by Spiking V1-MT-MSTl Feedforward-Feedback Interaction
An ICA design of intraday stock prediction models with automatic variable selection
Automatic Joint Optimization of Algorithm-Level Compression and Compiler-Based Acceleration with Reinforcement Learning for DNN in Edge Devices
Recognition and Geometrical On-line Learning Algorithm of Probability Distributions
Damped Vibration Analysis of Extrinsic Fabry-Perot Interferometric Sensors using Artificial Neural Networks
Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities
A neural network endowed with symbolic processing ability
Bio-inspired model for robust motion detection under noisy conditions
Faster BiSeNet: A Faster Bilateral Segmentation Network for Real-time Semantic Segmentation
AIMR: An Auction-based Incentive Mechanism for Federated LLM Fine-Tuning
Quantum Approaches for Degree-Constrained Minimum Spanning Tree Computation
Dynamic bandwidth allocation using a two-stage fuzzy neural network based traffic predictor
River basin flood prediction using support vector machines
Multi-pattern cross training: An ANN model training method using WSN sensor data
Simultaneous Approximation with Neural Networks
Online vigilance analysis based on electrooculography
The harmonium and decision problems
Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks
PEPC: A Deep Parallel Convolutional Neural Network Model with Pre-trained Embeddings for DGA Detection
Continuous Gesture Recognition through Selective Temporal Fusion
A Deep Learning Approach to Shell and Tube Heat Exchangers Customization
A Novel Wavelet-based-CMAC Neural Network Controller for Nonlinear Systems
Huber optimization of neural networks: a robust training method [microwave modeling]
DNA, proteins and compressibility
Some dynamics arising from learning in a hippocampal model
Energy spectrum of quantum associative memories
A Support Vector Machines network for traffic sign recognition
Effective Learning in Noisy Environment Using Neural Network Ensemble
A Reinforcement Learning-Based Control Approach for Unknown Nonlinear Systems with Persistent Adversarial Inputs
On Line Monitoring of Weld Defects for Short-Circuit Gas Metal Arc Welding Based on the Self-Organize Feature Map Neural Networks
Few-shot learning for trajectory outlier detection with only normal trajectories
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection
Design of Driver Stress Prediction Model with CNN-LSTM: Exploration of Feature Space using Genetic Programming
Text Generation with Syntax - Enhanced Variational Autoencoder
Accelerated learning of Generalized Sammon Mappings
Single-cell based random neural network for deep learning
A multiagent reinforcement learning approach to en-route trip building
Hybrid fuzzy logic and neural network model for fingerprint minutiae extraction
Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks
Virtual reality visual data mining with nonlinear discriminant neural networks: application to leukemia and Alzheimer gene expression data
Evaluating Incomplete DCOP Algorithms On Large-Scale Problems
An Optimized Approach for Fingerprint Binarization
Early vision image analyses using ICA in unsupervised learning ANN
Robust regularized learning using distributed approximating functional networks
A new adaptive scheme for the backpropagation algorithm
Learning Diverse Local Patterns for Deepfake Detection with Image-level Supervision
HCNN-CasForest6: A Hybrid Deep Learning and Ensemble Framework for Fault Diagnosis
Modelling the interaction of attention and emotion
Unveiling the Power of Convolutional Neural Networks: A Comprehensive Study on Remote Sensing Image Captioning and Encoder Selection
Automated Trading System for Stock Index Using LSTM Neural Networks and Risk Management
Latent topic ensemble learning for hospital readmission cost reduction
Influence of the refractory period on neural networks based on the recognition of neural signatures
Time perception in shaping cognitive neurodynamics of artificial agents
Environmental Sound Classification using Hybrid SVM/KNN Classifier and MPEG-7 Audio Low-Level Descriptor
A Multi-level Semantic Fusion Approach for News Reprint Pattern Detection
Multi-model ensemble forecasting in high dimensional chaotic system
One-step Domain Adaptation Approach with Partial Label
Self-supported Prototype Rectification for Few-shot Medical Image Segmentation
Movie genre classification with Convolutional Neural Networks
A fuzzy classifier based on probabilistic relaxation
Ensemble Policy Distillation with Reduced Data Distribution Mismatch
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
Ensemble particle swarm model selection
MASTP: More Accurate and Safer Trajectory Prediction Based on a Trajectory Planner
Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency
Eye Detection Using Ensemble of Weak Classifiers Based on Correlation Filter
Do Neural Models Scale up to a Human Brain?
Speaker Adaptation based on Judge Network with Small Adaptation Words
KairosRAG: Enhancing On-Demand Retrieval and Filtering with Lightweight Adapters
X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection
Neuro-Robotic Haptic Object Classification by Active Exploration on a Novel Dataset
Pseudo Triplet Guided Few-shot Composed Image Retrieval
Monocular Endoscopic Tissue 3D Reconstruction with Multi-Level Geometry Regularization
Detecting False Benign in Breast Cancer Diagnosis
Unified Named Entity Recognition as Multi-Label Sequence Generation
Dynamic targets - adapting supervised learning to time series classification
ChatSeek: Open-Vocabulary Object Seeking with LLM-Informed Belief Field and Vehicle-Arm Cooperation
Unsupervised Representation Adversarial Learning Network: from Reconstruction to Generation
Hybrid adaptive fuzzy control wing rock motion system with H ∞ robust performance
The HC calculus, quaternion derivatives and caylay-hamilton form of quaternion adaptive filters and learning systems
An Ensemble Learning Method for Segmentation Fusion
Developmental Learning Based on Coherent Neural Networks with Behavioral Mode Tuning by Carrier-Frequency Modulation
Knowledge-Optimized Multi-Agent Dynamics Framework for Zero-Shot Relation Triplet Extraction
Prediction of solar cycle 24
A combined model for scan path in pedestrian searching
torchcvnn: A PyTorch-based library to easily experiment with state-of-the-art Complex-Valued Neural Networks
Coherence vector of Oriented Gradients for traffic sign recognition using Neural Networks
Modularity-based model selection for kernel spectral clustering
Graph Mining under Data scarcity
Bilingual Terminology Extraction from Comparable E-Commerce Corpora
LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy
Diffusion Graph Neural Ordinary Differential Equation Network for Traffic Prediction
Cascaded Adversarial Learning for Speaker Independent Emotion Recognition
Deep learning classification of bacteria clones explained by persistence homology
Detecting overlapping structures via network-based competitive learning
WHC-Eval:Evaluating Hallucinations in LLMs with Real-World Chat Data
CLEAR-KGQA: Clarification-Enhanced Ambiguity Resolution for Knowledge Graph Question Answering
Fast, accurate spectral clustering using locally linear landmarks
Optimized and Adaptive Federated Learning for Straggler-Resilient Device Selection
Fast on-line kernel density estimation for active object localization
A projective clustering algorithm based on significant local dense areas
Fall detection with accelerometer data using Residual Networks adapted to multi-variate time series classification
A pulse-density modulation circuit exhibiting noise shaping with single-electron neurons