yusuke1997/dblp-id-title huggingface dataset:
Spatially Aggregated Photovoltaic Power Prediction Using Wavelet and Convolutional Neural Networks
A vision-based auxiliary system of multirotor unmanned aerial vehicles for autonomous rendezvous and docking
Labeler-Dependent Noise with Adversarial Awareness
Next Point of Interest Prediction Using Graph Attention Networks and Cognitive Navigational Styles
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer
Experiments with a neural controller
Support vector machines and dynamic time warping for time series
Deep Learning for Text Detection and Recognition in Complex Engineering Diagrams
Modeling disinhibition within a layered structure of the LGMD neuron
Out-of-Distribution Detection with Uncertainty Enhanced Attention Maps
Privacy-Preserving Unsupervised Spherical Text Embeddings
Taxonomy of Neural Transfer Functions
Deep Spiking Neural Network with Spike Count based Learning Rule
Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers
DHD-Net: A Novel Deep-Learning-based Dehazing Network
Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation
Early and Revocable Time Series Classification
Perceptual-DualGAN: Perceptual Losses for Image to Image Translation with Generative Adversarial Nets
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4
A spatiotemporal approach to tornado prediction
Bi-criteria torque optimization of redundant manipulators based on a simplified dual neural network
NVNet: An Enhanced Attention Network for Segmenting Neck Vascular from Ultrasound Images
Discrete time recurrent neural network sliding mode observer
LabelSOM: on the labeling of self-organizing maps
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision
Exploiting Visual Relation and Multi-Grained Knowledge for Multimodal Relation Extraction
Using simulated annealing to optimize receptive fields for MLP networks with ensemble encoding
A neurocomputational amygdala model of auditory fear conditioning: A hybrid system approach
An autonomous incremental learning algorithm of Resource Allocating Network for online pattern recognition
Forecasting model for bidding behavior of advertisers based on HMM
An Effective Multimodal Rumor Detection Model via Image Semantic Enhancement and Hierarchical Fusion
An Associative Memory Readout in ESN for Neural Action Potential Detection
Wheel slip regulation using fuzzy spiking neural networks
Selection of kernel parameters for KNN
Infrared Flame Detection System Using Multiple Neural Networks
Restricted Boltzmann Machines: an Eigencentrality-based Approach
Improved Design of Bayesian Networks for Modelling Toxicity Risk in Breast Radiotherapy using Dynamic Discretization
The stapedius reflex: Processing its neuronal activity with a small embedded system
Mutual Information-Guided Subtask Selection for Zero-Shot Generalization in Multi-Agent Reinforcement Learning
Neural Networks for Constrained Optimal Control of Non-Linear Systems
Exploration of rank order coding with spiking neural networks for speech recognition
Clickthrough refinement for improved graph ranking
Explicit update vs implicit update
Investigation of diabetic microvascular complications using data mining techniques
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention
Spatiotemporal Pattern Recognition via Liquid State Machines
A New Knowledge Distillation for Incremental Object Detection
Diverse, noisy and parallel: a New Spiking Neural Network approach for humanoid robot control
Reconstructing fMRI BOLD signals arising from cerebellar granule neurons - comparing GLM and balloon models
Filterbank learning for deep neural network based polyphonic sound event detection
Cognitive Architecture for Video Games
Data-Driven Modeling and Closed-Loop Control of Bead Geometry in Wire Arc Additive Manufacturing ∗
A memory efficient graph kernel
Cross-Domain Activity Recognition Based on Stacked Transfer Network
Robust estimation for subspace based classifiers
Performance analysis of LVI-based PDNN applied to real-time solution of time-varying quadratic programming
Cognitively motivated learning of categorical data with Modeling Fields Theory
Facial expressions recognition system using Bayesian inference
Spiking neural networks based cortex like mechanism: A case study for facial expression recognition
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors
Hierarchical Laplacian Score for unsupervised feature selection
Optimization of fuzzy procedure for classification of medical problems
Digital intelligent beings
Explainable AI: Can the AI Act and the GDPR go out for a date?
Robust Neural Regression via Uncertainty Learning
Unseen Target Stance Detection with Adversarial Domain Generalization
SECT: A Successively Conditional Transformer for Controllable Paraphrase Generation
Binarized Attributed Network Embedding via Neural Networks
Embodied cognition, language, and mirror neuron system
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network
Online incremental supervised growing neural gas
Delving into Imbalance in Imbalance: Attribute Rebalancing for Generalizing Long-tailed Learning
A spiking neuronal model learning a motor control task by reinforcement learning and structural synaptic plasticity
Kernel methods for fMRI pattern prediction
Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks
Multi-feature texture analysis for the classification of carotid plaques
SAM-TransUnet: A framework for medical image segmentation combining TransUnet and automatic cueing information: methodology, optimization, and applications
Artificial neural networks for temporal processing applied to prediction of electric energy in small hydroelectric power stations
A Diffusion Model for Inductive Knowledge Graph Completion
Internal-External Information Enhanced Causal Reasoning
An Auction Based Task Dispatching and Pricing Mechanism in Bike-sharing
A wind power forecasting model based on global and local feature extraction using key meteorological factors
A digital implementation of the nucleus laminaris
Exponential chaotic tabu search hardware for quadratic assignment problems using switched-current chaotic neuron IC
P-DNN: An Effective Intrusion Detection Method based on Pruning Deep Neural Network
Bridging Theory and Practice of MAPPO for Cooperative Multi-Agent Continuous Control
Systematic study on dimensionality reduction in the gesture phase segmentation problem
Towards Developing a Multi-Modal Video Recommendation System
A Probabilistic Programming Idiom for Active Knowledge Search
Impact of Spatial Frequency Based Constraints on Adversarial Robustness
TRMER: Transformer-Based End to End Printed Mathematical Expression Recognition
Bayesian Convolution Neural Network with Spatially Correlated Priors
Learning Quantum Phase Estimation by Variational Quantum Circuits
Towards Robust Alcohol Intoxication Identification Using Deep Learning with Thermal Imaging and Advanced Image Processing
Vulnerability Detection in EOSIO Smart Contracts Based on Teacher-Student Networks
3D depth camera based human posture detection and recognition Using PCNN circuits and learning-based hierarchical classifier
Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation
Cost-effective Modality Selection for Video Popularity Prediction
Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks
Learning Private Neural Language Modeling with Attentive Aggregation
Climatology databases using neural networks: Application to global temperature profiles
Concurrent Credit Assignment for Data-efficient Reinforcement Learning
Develop a novel technique for a virtual reality environment
Open World Learning Graph Convolution for Latency Estimation in Routing Networks
A Benchmark for Iris Location and a Deep Learning Detector Evaluation
Graph Attention Networks for Gait-Based Autism Spectrum Disorder Detection and Interpretability
Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions
FEMA: Emotion-Driven Personification in Generative Agents
Input and data selection applied to heart disease diagnosis
Human activity recognition using smart phone embedded sensors: A Linear Dynamical Systems method
Convergence analysis of the Quickprop method
Generalized 2D principal component analysis
Surface-Tracing Approximation by Basis Functions and Its Application to Neural Networks
CoMPO-GPT: Cross-Attention Conditioning for Multi-target Molecular Design in Generative Models
Optimizing F-measure with non-convex loss and sparse linear classifiers
Forecasting electricity market prices: a neural network based approach
CD-TDS: Change detection in transactional data streams for frequent pattern mining
ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application Analysis
Data-driven virtual reference controller design for high-order nonlinear systems via neural network
A collision avoidance model based on the Lobula giant movement detector (LGMD) neuron of the locust
Circuit implementation of multi-thresholded neuron (MTN) using BiCMOS technology
Fisher-regularized Support Vector Machine with Pinball Loss Function
Scalable multi-precision simulation of spiking neural networks on GPU with OpenCL
An integrated fault tolerant control framework using adaptive critic design
Incremental clustering of gesture patterns based on a self organizing incremental neural network
Taking Training Seriously: Human Guidance and Management-Based Regulation of Artificial Intelligence
Efficient and Secure Federated Learning with Ensemble of One-Layer Neural Networks
A comparison of map neuron labeling approaches for unsupervised self-organizing feature maps
A multi-agent based model for urban demand-responsive passenger transport services
Application of neural networks for stereo-camera calibration
Pose Classification Using Support Vector Machines
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis
Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios
Circuit Realization of a Programmable Neuron Transfer Function and Its Derivative
Exploiting Semantic and Syntactic Diversity for Diverse Task-oriented Dialogue
A Robotic Optical Circuit that Generates a 3D-visual Image: Solution to the inverse optics problem for robotic visual seeing by reverse engineering the neurophysiology of the modalities of the retinal receptors
Sparse Self Attention Network Model for Short Text Classification
A Mongolian Handwritten Word Images Generation Approach Based on Generative Adversarial Networks
Fusion and mining spatial data in cyber-physical space with Dynamic Logic of Phenomena
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach
The Multi-Period Time Series Forecasting Method Based on Temporal Decoupling: TimeShaper
Sribble Supervised Multimodal Medical Image Segmentation
Attention-driven auditory stream segregation using a SOM coupled with an excitatory-inhibitory ANN
Discovering Sequential Patterns by Neural Networks
Adaptive clustering of production state based on kernel entropy component analysis
Probabilistic Text Change Detection Using an Immune Model
Self-Supervised Representation Learning for Sleep Stage Classification with Feature Space Augmentation and Temporal Prediction
Improved YOLOv5 Object Detection Method for Cervical Fluid Cell Pathological Image Detection
Bandit-NAS: Bandit Sampling Method for Neural Architecture Search
Fuzzy Kernel Stochastic Gradient Descent machines
A comparison of models to predict medical procedure costs from open public healthcare data
Extending Chaos and Complexity Theory to Address Life, Brain and Quantum Foundations
A local mixture based SVM for an efficient supervised binary classification
Two improved continuous bag-of-word models
NeuCube (ST) for spatio-temporal data predictive modelling with a case study on ecological data
Coherent oscillations as a neural code in a model of the olfactory system
Neuro Tracking Control for Immunotherapy Cancer Treatment
Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection
AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection
An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites
Inferring protein-protein interactions using interaction network topologies
Cascade Learning for Mobile Malware Families Detection through Quality and Android Metrics
BMCNet-A: A Bone Marrow Cell Classification Model Based on Multi-scale Structure and Attention Mechanism
Figures of merit for the performance of Hebbian-type associative memories
Worldwide COVID-19 Topic Knowledge Graph Analysis From Social Media
A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors
CUBIC: Concept Embeddings for Unsupervised Bias Identification using VLMs
Entropy Based Analysis of Gaze Fixation Duration
Recursive functions in high-dimensional computing with random vectors
Combining user-based and global lexicon features for sentiment analysis in twitter
Image Anomaly Detection Based on Controllable Self-Augmentation
Image-based Localization for Self-driving Vehicles Based on Online Network Adjustment in A Dynamic Scope
Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks
Identifying Possible Rumor Spreaders on Twitter: A Weak Supervised Learning Approach
Unsupervised learning of categories from sets of partially matching image features for power line inspection robot
An Empirical Comparison of Quantization, Pruning and Low-rank Neural Network Compression using the LC Toolkit
Associative memories with "killed" neurons: The methods of recovery
A CMOS spiking neuron for dense memristor-synapse connectivity for brain-inspired computing
Facial Appearance Modifications using SKPCA-Derived Features Extracted from Convolutional Autoencoder's Latent Space
A new image recognition algorithm based on skeleton
Reasoning Knowledge Transfer for Logical Table-to-Text Generation
A Nearest-Neighbour Method with Self-organizing Incremental Neural Network
Feature selection in codebook based methods provides high accuracy
Lightweight DenseNet Model with A Hybrid Attention Mechanism and A Cross-Module Channel Reuse Strategy for Edge Computing
MS-YOLO: Infrared Object Detection for Edge Deployment via MobileNetV4 and SlideLoss
Development of neural network convection parameterizations for numerical climate and weather prediction models using cloud resolving model simulations
Guiding Neural Machine Translation with Retrieved Translation Template
Exploiting the value of class labels in topic models for semi-supervised document classification
CFC-GMixer: Closed-Form Continuous-Time Graph Networks with Multi-Scale Feature Mixer for Stock Predictions
State Preserving Extreme Learning Machine for face recognition
Towards Initialization-Agnostic Clustering with Iterative Adaptive Resonance Theory
Low-Latency Deep Learning Inference Schedule on Multi-Core MCU
A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography
An overview on the Gaussian Fields and Harmonic Functions method for semi-supervised learning
Occurrence of false memories: A neural module considering context for memorization of words lists
A current-mode programmable and expandable Hamming neural network
GPU implementation of the feedforward neural network with modified Levenberg-Marquardt algorithm
Ground-Guided Conditional Pixel Synthesizer for Height-based Satellite Imagery Super-Resolution
Sequence recognition with spatio-temporal long-term memory organization
Hybrid SVM/HMM architectures for statistical model-based voice activity detection
Complex-valued functional link network design by orthogonal least squares method for function approximation problems
Compact Cross-Reparam Convolution Network for Efficient Image Super-resolution
Combining pattern sequence similarity with neural networks for forecasting electricity demand time series
2000 Qubit D-Wave Quantum Computer Replacing MCMC for RBM Image Reconstruction and Classification
MAHFF: An Underwater Image Enhancement Method Based on Multi-scale Attention Hybrid Feature Fusion
A continuous attractor neural network model of divided visual attention
Unsupervised Domain Adaptation using Graph Transduction Games
One-against-all multi-class SVM classification using reliability measures
PanelTR: Zero-Shot Table Reasoning Framework Through Multi-Agent Scientific Discussion
End-to-End Analysis for Text Detection and Recognition in Natural Scene Images
Palmprint Verification Based on Robust Orientation Code
Combining heuristics for optimizing a neural net solution to the traveling salesman problem
Constructing Convolutional Neural Networks Based on Quaternion
Exemplar-based pattern recognition via semi-supervised learning
Selection of Import Vectors via Binary Particle Swarm Optimization and Cross-Validation for Kernel Logistic Regression
Unveiling Hidden Gems: Enhancing Entity Resolution with a Data Perspective
Protein structure generation using a variational autoencoder with Lévy noise and quantum graph transformer
Unsupervised Controllable Generation with Self-Training
Modification of backpropagation networks for complex-valued signal processing in frequency domain
Joint tracking-registration with linear complexity: An application to range sensors
Neural-based quality measurement of fingerprint images in contactless biometric systems
Improved illumination invariance using a color edge representation based on Double Opponent neurons
Improving Small Drone Detection Through Multi-Scale Processing and Data Augmentation
Representation of an environmental space by grid fields: A study with a computational model of the grid cell based on a column structure
Assessing flexible models and rule extraction from censored survival data
Construction of Neural Network Based Lyapunov Functions
Analyzing Minimal Complexity Machines
Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process
Deep Multi - Resolution Network for Real- Time Semantic Segmentation in Street Scenes
Fuzzy Lattice Neurocomputing Using Weighted Cosine Similarity Measure
Evolving connectionist systems: A theory and a case study on adaptive speech recognition
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study
Visual pattern recognition using unsupervised spike timing dependent plasticity learning
Dynamic initiation and dual-tree complex wavelet feature-based classification of motor imagery of swallow EEG signals
An adaptive merging and growing algorithm for designing artificial neural networks
Definition of a metric for medical symptoms using neural networks
The intermediate matching kernel for image local features
Neural networks with branch gates
A new active labeling method for deep learning
BDARec: Balancing Diversity and Accuracy of Recommendation Model with Graph Neural Networks
SeaFBen: A Multilingual Benchmark for Large Language Models in Southeast Asian Finance
NASB: Neural Architecture Search for Binary Convolutional Neural Networks
Neural Adaptive Dependent Task Placement for IoT Streaming Applications
Neural Network in Fast Simulation Modeling
Nonlinear principal component analysis of noisy data
Unsupervised NN and graph matching approach to compare data sets
Hybrid technique for colour image classification and efficient retrieval based on fuzzy logic and neural networks
Compact Cluster-based Balanced Distribution Adaptation for Transfer Learning
Unsupervised Unpaired Super-Resolution Using an Active Sampling Strategy Based on Edge Detection
Integrating Symbolic Planning and Reinforcement Learning for Following Temporal Logic Specifications
Using neural dynamics to switch attention
An EEG-based classification system of Passenger's motion sickness level by using feature extraction/selection technologies
Evolving clustering, classification and regression with TEDA
Implicit Topology Mining via Dual Filters for Attributed Graph Contrastive Clustering
SAXO: An optimized data-driven symbolic representation of time series
Mixture segmentation and background suppression in chemosensor arrays with a model of olfactory bulb-cortex interaction
Instance-level and Class-level Contrastive Incremental Learning for Image Classification
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification
Spatial-Temporal Retentive Heterogeneous Graph Convolutional Network for Traffic Flow Prediction
Automatic Optimization of Hyperparameters Using Associative Self-adapting Structures
Detection of Small UAV Objects with Density Information
UTSC: Uncertainty-Aware Framework for Early Time Series Classification
EGReg: Accurate and Efficient Registration of 3D Gaussian Splatting with Epipolar Geometry
Durability of Affordable Neural Networks against Damages
Deep Learning Models for Multi-Energy Prediction of Combined Electrical, Heat and Gas network systems
Loss Functions for Deep Monaural Speech Enhancement
Toyota Prius HEV neurocontrol
Function complexity estimation and its application to the optimum tie of geophysical data using Anns
Bidirectional Associative Memory for Multimodal Fusion : a Depression Evaluation Case Study
A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost
Gated Task Interaction Framework for Multi-task Sequence Tagging
Deep Learning and Domain Transfer for Orca Vocalization Detection
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm
Hand Gesture Recognition and Real-time Game Control Based on A Wearable Band with 6-axis Sensors
A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environments
Spike-timing neuronal modelling of forgetting in immediate serial recall
Streamflow forecasting using neural networks and fuzzy clustering techniques
Improving Graph Contrastive Learning with LLMs: A New Hardness-Aware Negative Sampling Strategy
Role of activation function on hidden units for sample recording in three-layer neural networks
A Novel Switching Scheme Between Adaptive Information Algorithms
Multi-agent Exploration with Sub-state Entropy Estimation
BDFPN: Bi-Direction Feature Pyramid Network for Scene Text Detection
Online Learning Approach for Rough Set C-Means Clustering Using Nodes Approximating the Data Distribution
Complex chemotaxis behaviors of C. elegans with speed regulation achieved by dynamic neural networks
Exploring deep features from brain tumor magnetic resonance images via transfer learning
An Immune and a Gradient-Based Method to Train Multi-Layer Perceptron Neural Networks
The SAME score: Improved cosine based measure for semantic bias
Pattern recognition of fiber-reinforced plastic failure mechanism using computational intelligence techniques
Bayesian estimates from heterogeneous population codes
SigmaCam: Exact Decision Boundary Extraction for DNNs with Smooth Nonlinearities
TSDA: A Temporal-Spatial Data Augmentation for Human Pose Recognition in Point Cloud
A dynamic channel selection algorithm for the classification of EEG and EMG data
Splitting with confidence in decision trees with application to stream mining
Strong-Background Restrained Cross Entropy Loss for Scene Text Detection
Kanban Cell Neuron network Stock Trading System (KCNSTS)
An Improved Online quasi-Newton method for robust training and its application to microwave neural network models
Chinese Multimodal NER Base On Hierarchical Subnetwork And Feature Fusion
GRANT: Ground-Roaming Autonomous Neuromorphic Targeter
DB-GNG: A constructive Self-Organizing Map based on densilty
Spatial-Temporal Traffic Prediction Model Based on Adaptive Graphs Fusion and Dual-Graph Collaborative Convolution
Enhanced Privacy and Data Protection using Natural Language Processing and Artificial Intelligence