yusuke1997/dblp-id-title huggingface dataset:
Completed hybrid local binary pattern for texture classification
Predicting protein cellular localization sites with a hardware analog neural network
Systolic blood pressure classification
Beyond Similarity: Aligning Retrieval with Generation for Enhanced Image Captioning
Conditional Human Activity Signal Generation and Generative Classification with a GPT-2 Model
To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning
The Option Pricing Model Based on Time Values: An Application of the Universal Approximation Theory on Unbounded Domains
A Hopfield neural network based algorithm for haplotype assembly from low-quality data
Classification complexity and its estimation algorithm for two-class classification problem
Transformation of audio embeddings into interpretable, concept-based representations
Symmetric masking strategy enhances the performance of Masked Image Modeling
A Combined Fuzzy Clustering -Neuron Approach in the Segmentation of Non-uniform Color Surfaces
On noise induced resonances in neurodynamic models
MID3A: Microscopy Image Denoising meets Differentiable Data Augmentation
Analysis of features for efficient ECG signal classification using neuro-fuzzy network
Feature Space Curvature Map: A Method To Homogenize Cluster Densities
Conditioning Autoencoder Latent Spaces for Real-Time Timbre Interpolation and Synthesis
SlowFast Adaptive Graph Convolutional Network with Multi-Modal Feature Aggregation for Skeleton-Based Action Recognition: Case Study of Human Ladder Climbing
Box-constrained projective nonnegative matrix factorization via augmented Lagrangian method
TAM-Net: Temporal Enhanced Appearance-to-Motion Generative Network for Video Anomaly Detection
Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward
Neuronal mechanisms underlying exploration-exploitation strategies in operant learning
In silico prediction of promoter sequences of Bacillus species
Chaos associative memory model
Topic Enhanced Multi-head Co-Attention: Generating Distractors for Reading Comprehension
Task-prompted Embedding Encoder for Multi-Task Dense Prediction
Rapid User-Adaptive Wearable Activity Recognition via Difference Decomposition
PointNorm: Dual Normalization is All You Need for Point Cloud Analysis
Brain Computer Interface using EEG Sensors Based on an fMRI Experiment
An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem
Deep graph node kernels: A convex approach
C. elegans neuromorphic neural network exhibiting undulating locomotion
RAP-Net: A Resource Access Pattern Network for Insider Threat Detection
Interpolating Deep Spatio-Temporal Inference Network features for image classification
Spiking Networked System for Anomaly Detection in Vision-Guided Robots
Automatic source attribution of text: a neural networks approach
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning
Muppet: A Modular and Constructive Decomposition for Perturbation-Based Explanation Methods
Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach
Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis
Equivariant Neural Networks with Geometric Algebras: A New Approach
Color reproduction by means of a Compactly Supported Radial Basis Function space mapping
Higher-Order Heterogeneous Graph Convolutional Network Based on Meta-Paths
Posture classification of lying down human bodies based on pressure sensors array
HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction
Gas turbine vibration analysis with fuzzy ART neural network
AD-MAE: Contrastive Learning and Masked Autoencoder for Early Alzheimer's disease classification
A Boosting-like Online Learning Ensemble
Naive Bayesian classifier for microarray data
CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification
A neuro-fuzzy graphic object classifier with modified distance measure estimator
Optimizing Privacy and Utility Tradeoffs for Group Interests Through Harmonization
Boarding for ISS: Imbalanced Self-Supervised Discovery of a Scaled Autoencoder for Mixed Tabular Datasets
A neural network based DSS for advising students in the school of business
Embedded power quality monitoring system based on Independent Component Analysis and SVMs
A Hierarchical VQSVM for Imbalanced Data Sets
Selection of Best Projection from 3D Star Coordinate Projection Space using Energy Minimization and Topology Preserving Mapping
MF-Net: Meta Fusion Network for 3D object detection
Performance Analysis of Direct Heuristic Dynamic Programming using Control-Theoretic Measures
On exploiting symmetry for multilayer perceptron learning
Attention-based Emotion-assisted Sentiment Forecasting in Dialogue
A model of document clustering using ant colony algorithm and validity index
MT-CNN: A Lightweight Spatial-Temporal Convolutional Neural Network for Deep Learning of Complex Trajectory Distributions based on Area Partitioning
Reducing Redundancy in Small Lesion Features for Multi-Shape Stenosis Detection in Coronary X-ray Angiography
Federated Split BERT for Heterogeneous Text Classification
Dynamic properties of a class of cellular neural networks: model, stability analysis and design method
Impact of different metrics on multi-view clustering
Synaptic Learning of Long-Term Cognitive Networks with Inputs
Classification of Inkjet Printers based on Droplet Statistics
A novel hardware-efficient ergodic sequential logic spiking neural network and reproductions of biologically plausible spatio-temporal phenomena towards development of neural prosthetic device
Memristor SPICE model and crossbar simulation based on devices with nanosecond switching time
Unsupervised Rank-Deficient Density Estimation via Multi-Class Independent Component Analysis
Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion
Surface reconstruction using neural networks and adaptive geometry meshes
The wellposedness analysis of the kernel adaline
Research on a novel one-way trap-door map based on improved hyperbolic function
The Application of Generating API Call Sequence Code for Android Driven by Neural Network
Comparative of data base evolution in rule association algorithms in incremental and conventional way
Real-time change detection in time series based on growing feature quantization
A boundedness theoretical analysis for GrADP design: A case study on maze navigation
Prompt-Enhanced Prototype Framework for Few-shot Event Detection
SEmgFormer: Muscle Synergy Channel Attention Enhanced Vision Transformer Network For sEMG Motion Recognition Using STFT Spectrogram
Joint adaptive loss and l2/l0-norm minimization for unsupervised feature selection
Joint optimization of feature transform and instance weighting for domain adaptation
An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network
Wind Speed Forecasting via Multi-task Learning
Thinking in prose and poetry: A semantic neural model
Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach
Learning Primal Heuristics for Mixed Integer Programs
OCMDP: Observation-Constrained Markov Decision Process
Ultra low power fault tolerant neural inspired CMOS logic
Adversarial Domain Adaptation Network with Enhanced Feature Discriminability for Thyroid Ultrasound Images
MTANET-3D: 3D Multimodal Triplet Attention Fusion Network for Lung Cancer Histology Classification
Just-in-time ensemble of classifiers
Retrieval performance of Hopfield Associative Memory with Complex-valued and Real-valued neurons
A new multi-task learning based Wi-Fi location approach using L1/2-norm
Analysis and Implementation of Simple Dynamic Binary Neural Networks
MS-BioAP: A Pipeline for biomarker analysis based on data independent acquisition mass spectrometry
A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools
Modeling Global-Local Subtopic Distribution with Hypergraph to Diversify Search Results
How to get pavement distress detection ready for deep learning? A systematic approach
Double quantization forecasting method for filling missing data in the CATS time series
A locally adaptive boundary evolution algorithm for novelty detection using level set methods
Learning Multi-Level Consistency for Noisy Labels
A high-speed learning method for analog neural networks
Back-propagation heuristics: a study of the extended delta-bar-delta algorithm
Semantic knowledge inference from online news media using an LDA-NLP approach
Neural net-based and safety-oriented visual analytics for time-spatial data
A mixture of multiple linear classifiers with sample weight and manifold regularization
A comparison of machine learning algorithms as surrogate model for net present value prediction from wells arrangement data
Simulation of the visual cortex with laterally connected spiking neural networks
Angular Penalty for Few-Shot Incremental 3D Object Learning
Identification of chaotic process systems with least squares support vector machines
Flow-Aware Scheduling with Graph Neural Network Routing for Resource Efficiency in Time-Sensitive Networking
A Neuro-augmented Observer for a Class of Nonlinear Systems
Reliable seizure prediction from EEG data
ShaDocFormer: A Shadow-Attentive Threshold Detector With Cascaded Fusion Refiner for Document Shadow Removal
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction
Multi-class support vector machines for modeling HIV/AIDS treatment adherence using patient data
Tagging Generatively: Dynamic and Open-Ended Image Tagging with MLLM
Investigating the Impact of Diversity in Ensembles of Multi-label Classifiers
JPEG-2000 Workload Prediction for Adaptive System on Chip Entropy Coders Architecture
Non-parallel semi-supervised classification based on kernel spectral clustering
A simpler Bayesian network model for genetic regulatory network inference
Adversarial Attacks and Defense on Deep Learning Classification Models using YCbCr Color Images
Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation
Neural Network Based Memory Access Prediction Support for SoC Dynamic Reconfiguration
Uncertainty-Aware 2D Gaussian Splatting for Mesh Reconstruction Under Restricted Views
Adaptive robot control using modular reservoir computing to minimize multimodal errors
A Multi-Modal Chinese Poetry Generation Model
A Swarm Variant for the Schrödinger Solver
Prediction of Long-range Contacts from Sequence Profile
Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats
Increased Robustness in Visual Processing with SOM-Based Filtering
EMKG: Efficient Matchings for Knowledge Graph Integration in Stance Detection
Lf-Net:Generating Fractional Time-Series with Latent Fractional-Net
Handling class overlap with variance-controlled neural networks
Spatially chunking support vector clustering algorithm
Detecting popular topics in micro-blogging based on a user interest-based model
Classifying web documents using term spectral transforms and Multi-Dimensional Latent Semantic representation
Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition
Explaining Deep and ResNet Architecture Choices with Information Flow
Cascade modeling with multihead self-attention
Matching of time-varying labeled graphs
Multimodal Sentiment Analysis Based on Heterogeneous Contrastive Representation Learning with Prior Knowledge Enhancement
Time Series Representation for Real-World Applications of Deep Neural Networks
Rainfall intensity prediction by a spatial-temporal ensemble
CEC-YOLO: An Improved Steel Defect Detection Algorithm Based on YOLOv5
A unified view of probabilistic PCA and regularized linear fuzzy clustering
Finding dependent and independent components from two related data sets
A parallel hybrid implementation using genetic algorithm, GRASP and reinforcement learning
Model-Agnostic Explanations using Minimal Forcing Subsets
V-shaped neurons in hidden layer of ANN universal approximator without flat domains
Hand movement recognition for Brazilian Sign Language: A study using distance-based neural networks
Neural Regression Trees
Random Feature Subset Selection for Analysis of Data with Missing Features
From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation
Words Are Not Temporal Sequences of Characters
Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts
Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus
Learning efficiency improvement of back propagation algorithm by error saturation prevention method
Teacher-directed information maximization: supervised information-theoretic competitive learning with Gaussian activation functions
Quasi-random sampling for approximate dynamic programming
Robust outlier detection using SVM regression
An experimental study on joint modeling of mixed-bandwidth data via deep neural networks for robust speech recognition
Survival kernel with application to kernel adaptive filtering
TERG: Topic-Aware Emotional Response Generation for Chatbot
Fuzzy rules acquisition and parameters evolution based on fuzzy neural networks
Spiking Neural Networks Enable Two-Dimensional Neurons and Unsupervised Multi-Timescale Learning
A parameter-free kernel design based on cumulative distribution function for correntropy
CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
All for Goals: a Stylized Automated Analysis Framework in Football Matches
Using synthetic data to train neural networks is model-based reasoning
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation
Sparse representation from a winner-take-all neural network
Dimensionality Reduction via Self-Organizing Feature Maps for Collaborative Filtering
Functional mapping with complex higher order compensatory neuron model
IoT Attack Detection with Deep Learning Analysis
Domain-specific processing - building a digital/analog neural processing system for control of intelligent robotics
Dilated Convolutional Networks Incorporating Soft Entity Type Constraints for Distant Supervised Relation Extraction
Online data centering modifications for adaptive filtering with NLMS algorithm
Stability analysis of Takagi-Sugeno fuzzy Hopfield neural networks with discrete and distributed time varying delays
Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network
A study of non-periodic short-term random walk forecasting based on RBFNN, ARMA, or SVR-GM(1,1|τ) approach
Sports Motion Recognition based on Foot Trajectory State Sequence Mapping
RepEPnP: Weakly Supervised 3D Human Pose Estimation with EPnP Algorithm
Selecting local ensembles for multi-class imbalanced data classification
Autonomous Incremental Visual Environment Perception Based on Visual Selective Attention
Estimating multimodal attributes for unknown objects
An Effective GANs-Based Method for High-Information-Value Multimodal Wearable Sensor Data Synthesis
Deep Modeling of Human Age Guesses for Apparent Age Estimation
Neural Network based Distributed Adaptive Time-varying Formation Control for Multi-UAV Systems with Varying Time Delays
Analyzing Multi-Channel Networks for Gesture Recognition
R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest
Schema Item Matters in Knowledge Base Question Answering
LRGAN: Learnable Weighted Recurrent Generative Adversarial Network for End-to-End Shadow Generation
Designing multi-objective multi-armed bandits algorithms: A study
A dynamic neural estimator for admission control in ATM network
Exploration vs. exploitation in active learning : A Bayesian approach
LSTPointGMN: Lightweight Spatial-Temporal Graph Mamba Network for Gesture Recognition Using Millimeter-Wave Radar
Elastic neural networks for part of speech tagging
Robust Sparse Subspace Learning for unsupervised feature selection
Search-based framework for transparent non-overlapping ensemble models
Reservoir computing in materio: A computational framework for in materio computing
Deep Learning Based Captioning of Toys in a Smart Monitoring System
Hippocampus as unitary coherent particle filter
High-performance bankruptcy prediction model using Graphics Processing Units
MEAN:Multi-Modal Explainability Analysis Network for Fake News Detection
Third-order generalization and a new approach to systematically categorizing higher-order generalization
On the role of shape prototypes in hierarchical models of vision
Temporal Link Prediction Using Cluster and Temporal Information Based Motif Feature
A Heuristic for Free Parameter Optimization with Support Vector Machines
SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning
Dimension Selective Self-Organizing Maps for clustering high dimensional data
Intelligent Funds Assistant Exploiting Hierarchical Text Classification Algorithms
Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory
Continual learning benefits from multiple sleep stages: NREM, REM, and Synaptic Downscaling
Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification
Real-time Blind Deblurring Based on Lightweight Deep-Wiener-Network
LaMDEN: Addressing Elevator-Based Navigation with Large Language Models and 3D Scene Graphs
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
An improved method for automatically searching near-optimal artificial Neural Networks
Representation Learning Using Machine Attribute Information for Anomalous Sound Detection in Real Scenarios
Weighted voting-based ensemble classifiers with application to human face recognition and voice recognition
Parallelizing the fuzzy ARTMAP algorithm on a Beowulf cluster
An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW
Fast and Robust Prediction of Optical Flow Field Sequences for Visuomotor Anticipation
Embedded fastICA algorithm applied to the sensor noise extraction problem of foundation fieldbus network
2 types of complex-valued Hopfield networks and the application to a traffic signal control
A Cooperative Recurrent Neural Network Algorithm for Parameter Estimation of Autoregressive Signals
Statistical approach for reconstruction of dynamic brain dipoles based on EEG data
Parallel processing within motor areas of cerebral cortex and basal ganglia in the monkey
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution
Water Demand Forecasting Using Multi-layer Perceptron and Radial Basis Functions
Understanding User Behavior in Cross-Domain Recommendation: An LLM-Based Approach
Joint Entropy Maximization in the Kernel-Based Linear Manifold Topographic Map
Optimizing the learning of binary mappings
A pruning algorithm for extreme learning machine based on sparse coding
Efficient Search for the Number of Channels for Convolutional Neural Networks
The neural control of movement must contend with trajectory-specific and nonlinearly distorted manifolds of afferent muscle spindle activity
Systematic design of associative memory networks: equilibrium confinement, exponential stability and gradient descent learning
Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors
Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information
SPRNet: Sitting Posture Recognition Using improved Vision Transformer
Hybrid neural-phenomenological sub-models and its application to Earth-space path signal attenuation prediction
A Methodology for Example-Based Specification and Design
Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization
A Support Tensor Train Machine
A study on visual attention modeling - A linear regression method based on EEG
Lightweight Self-Supervised Monocular Depth Estimation Based on Multi-Scale Hybrid Attention
Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm
Improving Visual Question Answering by Multimodal Gate Fusion Network
SPGNet: A Serial-Parallel Gated Convolutional Network for Image Classification on Small Datasets
Common Subset Selection of Inputs in Multiresponse Regression
Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems
Relearning procedure to adapt pollutant prediction neural model: Choice of relearning algorithm
CRAVE: A Conflicting Reasoning Approach for Explainable Claim Verification Using LLMs
One-shot Deep Learning Pressure Solver for 2D Eulerian Smoke Simulation Application
Hybrid neural networks for gasoline blending system modeling
Stability analysis of a DC motor system using universal learning networks
BSQA: Bidirectional Stacked Question Answering Architecture for End-to-end Event Extraction
Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations
Curse of Dimensionality in Adversarial Examples
A multilayer neural network with nonlinear inputs and trainable activation functions: structure and simultaneous learning algorithm
Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting
BACKTRACKER: A Novel Background Traffic Identification System For Mobile Apps
Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation?
Self-organizing neural network character recognition on a massively parallel computer
A supervised CAD to support telemedicine in hematology
Composing Multi-Instrumental Music with Recurrent Neural Networks
Comparison of Hybrid Intelligent Systems, Neural Networks and Interval Type-2 Fuzzy Logic for Time Series Prediction
Shape of error surfaces in SpikeProp
Comparative analysis of artificial neural network models: application in bankruptcy prediction
An analysis of gradient-based policy iteration
Industrial Surface Defect Detection via Multi-scale Mask Cross-layer Fusion Network
Enhanced Vehicle Detection through Multi-Sensor Fusion Utilizing YOLO-NAS and Faster R-CNN
A Multi-feature Integration Descriptor for Instance Image Retrieval
Fine-Scale Population Estimation Using a Variational Autoencoder-Based Approach Integrating Geospatial Data
Adaptive task decomposition and modular multilayer perceptrons for letter recognition
CMSPA-Former: Causal Multi-Scale Pyramid Attention Former for Estimating Counterfactual Outcomes
Separating inference from feature learning in deep unsupervised visual saliency estimation
Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity
Computational model of the entorhinal-hippocampal region derived from a single principle
Closer to Optimal Angle-Constrained Path Planning
Link Prediction with Multiple Structural Attentions in Multiplex Networks
Fine-Grained Agricultural Facility Power Forecasting Based on Empirical Mode Decomposition
Neuromorphic engineering: overview and potential
Random sampler M-estimator algorithm for robust function approximation via feed-forward neural networks
The Adult Image Identification Based on Online Sampling
Temporal hierarchies in multilayer gated recurrent neural networks for language models
Weakly Supervised Lesion Detection Guides Diabetic Retinopathy Grading
Adaptive Shapelets Preservation for Time Series Augmentation
MRAFF: Multi-resolution Attention Feature Fusion Method for Multi-label Fundus Image Ocular Disease Screening
Artificial Neural Network for Temporal Impedance Recognition of Neurotoxins
Scaling-up action learning neuro-controllers with GPUs
Day ahead electricity consumption forecasting with MOGUL learning model
Self-learning PD algorithms based on approximate dynamic programming for robot motion planning
Novelty estimation in developmental networks: Acetylcholine and norepinephrine
EEG-based absence seizure detection methods
Improve the LSTM and GRU model for small training data by wavelet transformation