yusuke1997/dblp-id-title huggingface dataset:
Solving the Shepherding Problem: Imitation Learning Can Acquire the Switching Algorithm
DAGNet: Exploring the Structure of Objects for Saliency Detection
GLFormer: Efficient HRFormer for Animal Pose Estimation with Global and Local Attention
GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs
Diagnosis of Vocal and Voice Disorders by the Speech Signal
Identifying Coordinated Activities on Online Social Networks Using Contrast Pattern Mining
Real-time intelligent pattern recognition, resource management and control under constrained resources for distributed sensor networks
Temporal coding: Competition for coherence and new perspectives on assembly formation
Remote Extraction of Latent Fingerprints (RELF)
Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel
Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis
Temporal discontinuities in neocortical dynamics
MAIN: Multihead-Attention Imputation Networks
Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval
On Calibration of Graph Neural Networks for Node Classification
A recurrent neural network for inter-localization of mobile phones
Ensemble of neural predictors for forecasting the atmospheric pollution
A committee of neural networks for traffic sign classification
Quality-Diversity Driven Action Swarm Evolution in Reinforcement Learning
Time series prediction using chaotic neural networks: case study of IJCNN CATS benchmark test
Temperature Control of a Rubber Shoot Shaping Machine by Recurrent Neural Fuzzy Controller
Incorrect attribute value detection for traffic accident data
Research on the cellular neural network template for translation of gray-scale images
Generational trends in obesity in the United States: analysis with a wavelet coefficient self-organizing map
Dual-Encoder Attention Fusion Model for Aspect Sentiment Triplet Extraction
Model selection of SVMs using GA approach
Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation
Efficient and low-complexity image coding with the lifting scheme and modified SPIHT
A neural network model for chemotaxis in Caenorhabditis elegans
Representation and feature selection using multiple kernel learning
TrajGraph: A Dual-View Graph Transformer Model for Effective Next Location Recommendation
Anti-AsynDGAN: Black-box Membership Inference Attacks Against Medical Distributed Generation Models
Robust prediction in nearly periodic time series using motifs
CI-RKM: A Class-Informed Approach to Robust Restricted Kernel Machines
ARNet: An Aggregation and Recalibration Network for Small Object Detection in Aerial Imagery
An empirical method to select dominant independent components in ICA for time series analysis
SG-TCN: Semantic Guidance Temporal Convolutional Network for Action Segmentation
Memory-facilitated Joint-space Shift Adaptation in Traffic Forecasting
FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning
Graph Neural Network and Superpixel Based Brain Tissue Segmentation
Robust Natural Language Watermarking by Embedding Information into Key Components
Dynamic Control of Maglev Transportation System Via Adaptive Fuzzy-Neural-Network
Orientated texture segmentation for detecting defects
Meaning Spotting and Robustness of Recurrent Networks
Lesion effects in a bihemispheric letter-identification model
A partial labeling framework for multi-class imbalanced streaming data
OSRNet: Online Signature Recognition Network utilising Spatio-Temporal Features Extracted from Signature Video
Pruning Everything, Everywhere, All at Once
A neural network and SOM based approach to analyse periodic signals: Application to Oyster heart-rate data
An Approach to Cross-Lingual Voice Conversion
Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution
Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries
A New Framework for Automatic Feature Selection for Tracking
Modeling prefrontal functions for robot navigation
PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs
Dynamie neural networks for jet engine degradation prediction and prognosis
An information theoretic approach to adaptive system training using unlabeled data
Support vector machines for traffic signs recognition
Building a player strategy model by analyzing replays of real-time strategy games
Agnostic Learning vs. Prior Knowledge Challenge
Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method
Fault diagnosis of FOG SINS based on neural network
Warranty Cost Forecast Based on Car Failure Data
An adaptive multiclass boosting algorithm for classification
SGED-Net: A Self-organizing Graph Embedding Deep Network for Travel Time Estimation
Optimization of fixed Wavelet Neural Networks
The BlockChain Neural Network: Neuron as a Service
Local Support Vector Regression for Financial Time Series Prediction
Recurrent neural networks training with stable risk-sensitive Kalman filter algorithm
Independent component analysis with an inverse problem motivated penalty term
Symbolic manipulation based on deep neural networks and its application to axiom discovery
FPGA Implementation of a Pulse Density Neural Network Using Simultaneous Perturbation
Neural classification of infrasonic signals associated with hazardous volcanic eruptions
Tri-directional Hypergraph Contrastive Learning for Session-based Recommendation
Towards the grounding of abstract words: A Neural Network model for cognitive robots
Residual Hybrid Attention Network for Single Image Dehazing
Discovery of association rules in Metabolic Syndrome related diseases
S-DiffAdv: Enhancing Unrestricted Adversarial Attack via Sparse Diffusion
Embedding Extra Knowledge and A Dependency Tree Based on A Graph Attention Network for Aspect-based Sentiment Analysis
Novel Quantum Approaches to Hyperdimensional Computing for Neural Networks
Graph Structure Optimization using Simulated Annealing
Annealed imitation: fast dynamics for maximum clique
Identification of Adversarial Android Intents using Reinforcement Learning
Neural-network-based 3-D localization and inverse kinematics for target grasping of a humanoid robot by an active stereo vision system
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems
A Relative Spike-Timing Approach to Kernel-Based Decoding Demonstrated for Insect Flight Experiments
Neural networks in comparing USN and Wageningen B-Series marine propellers
Multi-Object Pedestrian Tracking Based on YOLO-RED and Hybrid-SORT
MulCoB-MulFaV: Multimodal Content Based Multilingual Fact Verification
Evaluating the Dynamicity of Feature and Individual Classifiers Selection in Ensembles of Classifiers
Application of the IPSONet in face detection
Detecting Cross-domain Deepfake Videos with Contrastive Prototype Learning
Improved Accuracy of Robot Localization Using 3-D LiDAR in a Hippocampus-Inspired Model
MARKS-mech: A Mask-based Prior Knowledge Dissemination Mechanism for including Discourse Relations for Sentiment Classification
Natural Object Classification Using Artificial Neural Networks
EEG-based Emotion Recognition Using Temporal Convolutional Network and Vision Transformer
Quantification of Uncertainty in Mineral Prospectivity Prediction Using Neural Network Ensembles and Interval Neutrosophic Sets
Condition monitoring through mining fault frequency from machine vibration data
Topological Clustering for Spatial Perception Using Fuzzy Reliability-Based Growing Region Method
On the statistical efficiency of the LMS family of adaptive algorithms
Supervisory enhanced genetic algorithm control for indirect field-oriented induction motor drive
Iterative Improvement of trigonometric networks
sEMG-based torque estimation for robot-assisted lower limb rehabilitation
A modified fast recursive hidden nodes selection algorithm for ELM
Matching video net: Memory-based embedding for video action recognition
UFormer:A U-Net Framework For Long-Term Time Series Forecasting
A digital neuromorphic circuit for neural-glial interaction
Energy Forecasting with Building Characteristics Analysis
An opinion search system for consumer products
New insights into the landscape relationships of host response to bacterial pathogens
Reinforcement learning with internal-dynamics-based exploration using a chaotic neural network
Combining Multiple Inputs to a Delay-line Reservoir Computer: Control of a Forced Van der Pol Oscillator System
Extraction and Transfer of General Deep Feature in Reinforcement Learning
Temporal Stamp Classifier: Classifying Short Sequences of Astronomical Alerts
Mental disorders within a cognitive architecture
Performance of generalized multi-layered perceptrons and layered arbitrarily connected networks trained using the Levenberg-Marquardt method
Using the receiver operating characteristic to asses the performance of neural classifiers
Lyapunov stability analysis of the quantization error for DCS neural networks
Virtual k-fold cross validation: An effective method for accuracy assessment
PEFT Innovations in Text-to-SQL: Adapter and Prefix Tuning Methods with Structural Awareness
Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach
A recurrent network model for range processing of the mustached bat
A reversing buffer mechanism that enables instances of retrospective activity in hippocampal regions CA3 and CA1
RLBOF: Reinforcement Learning from Bayesian Optimization Feedback
A Pairwise Reduced Kernel-based Multi-classification Tikhonov Regularization Machine
Extracting and selecting discriminative features from high density NIRS-based BCI for numerical cognition
Flow invariance for competitive multi-modal neural networks
Failure Modes in Feedback Error Learning
CTUnet: A Novel Paradigm Integrating CNNs and Transformers for Medical Image Segmentation
A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network
The graded possibilistic clustering model
A novel hardware-efficient CPG model based on asynchronous coupling of cellular automaton phase oscillators for a hexapod robot
Stability analysis of blind signals separation algorithms
Single-Image to High-Quality 3D Mesh: A Deep Learning-based Automatic Modeling Approach
Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization
IEDQN: Information Exchange DQN with a Centralized Coordinator for Traffic Signal Control
Incremental learning with sleep
Multi-grained Syntactic Dependency-aware Graph Convolution for Aspect-based Sentiment Analysis
Adaptive control of prosthetic limbs using neural networks
Acceleration of Levenberg-Marquardt training of neural networks with variable decay rate
Dual-channel Heterophilic Message Passing for Graph Fraud Detection
ASD detection in males using MRI- an age-group based study
A Lightweight and Effective Multi-View Knowledge Distillation Framework for Text-Image Retrieval
Modelling the growth domain of Clostridium botulinum via kernel survival analysis
Autoassociative neural memory capacity and dynamics
Knowledge-enhanced N2N: Learning SEM Images Denoising with No Clean Data
A regulator design method using multi-layered neural networks
On Learning Mean Values in Hopfield Associative Memories Trained with Noisy Examples Using the Hebb Rule
Robust Stability Analysis of a Class of Noise Perturbed Two-Time Scale Neural Networks
Text-Driven Editing of Real Images using Diffusion Models with Error Corrector
Fuzzy ARTMAP rule extraction in computational chemistry
Unsupervised feature selection and category formation for mobile robot vision
Cross-Network Community Sensing for Anchor Link Prediction
Prediction of contact map integrated PNN with conformational energy
Context-Aware Based Visual-Audio Feature Fusion for Emotion Recognition
Spiking Locality-Sensitive Hash: Spiking Computation with Phase Encoding Method
R 2 VFL: A Robust Random Vector Functional Link Network with Huber-Weighted Framework
CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification
Improved Prediction of HIV-1 Protease Genotypic Resistance Testing Assays using a Consensus Technique
Applying Center Loss to Neural Networks for Sequence Prediction: A Study for Handwriting Recognition
Autoregressive Models for Sequences of Graphs
Multi-Representation Local-Global Deep Learning Architecture for Molecular Property Prediction
An integrated computational model of the two phase theory of classical conditioning
Simplifying CLIP: Unleashing the Power of Large-Scale Models on Consumer-level Computers
Image-to-Image Translation on Defined Highlighting Regions by Semi-Supervised Semantic Segmentation
The separation of speech from interfering sounds: an oscillatory correlation approach
Support vector machines and the electoral college
Dynamic Reservoir Computing with Physical Neuromorphic Networks
Aspect-based Sentiment Analysis via Knowledge Enhancement
Global exponential stability of recurrent neural networks with pure time-varying delays
A Method for Cultural Relics Named Entity Recognition Based on Enhanced Lexical Features
Subjective aspects in image database system
One-class classification through mutual information minimization
Design of digital PID controller with gain planning based on CMAC
Parameter Transfer Extreme Learning Machine based on Projective Model
OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking
Cali3F: Calibrated Fast Fair Federated Recommendation System
Automatic Hemiplegia Gait Assessment for Post-Stroke by an Efficient Hybrid Attention-Based GhostNet
Real-time Integration of Fine-tuned Large Language Model for Improved Decision-Making in Reinforcement Learning
Segmented Pairwise Distance for Time Series with Large Discontinuities
Mental practice and verbal instructions execution: A cognitive robotics study
Hippocampal theta phase coding for instantaneous acquisition of experienced events
Change detection tests using the ICI rule
A Novel way of Training a Neural Network with Reinforcement learning and without Back Propagation
Selective adjustment of rotationally-asymmetric neuron σ-widths
The Exploration of Knowledge-Preserving Prompts for Document Summarisation
Local structure helps learning optimized automata in recurrent neural networks
Improving recommendation accuracy using networks of substitutable and complementary products
BNS-Net: A Dual-Channel Sarcasm Detection Method Considering Behavior-Level and Sentence-Level Conflicts
A simulation environment for volatility analysis of developed and in development markets
Lyapunov Design of Repetitive Learning Control in Network Management Processes
Quantum Perceptron with Dynamic Internal Memory
Research on Diagnosing Heart Disease Using Adaptive Network-based Fuzzy Interferences System
Deep Active Learning with Range Feedback for Facial Age Estimation
Dynamic Attention Aggregation with BERT for Neural Machine Translation
Acoustic recurrent neural networks echo cancellers
Support Correlation Filters Tracking using Mask Matrix
Self-aware Hierarchical Neuromorphic Architecture
Variational Disentangled Attention and Regularization for Visual Dialog
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels
A Hardware Architecture for Color Image Enhancement Using a Machine Learning Approach with Adaptive Parameterization
Automated Graph Representation Learning for Node Classification
PeINR: Periodic Implicit Neural Representation for Single-view Clothed Human Reconstruction
Rough Set Theory based Neural Network Architecture
From Metaphor to Mechanism: How LLMs Decode Traditional Chinese Medicine Symbolic Language for Modern Clinical Relevance
A biologically inspired visual pedestrian detection system
Improved Biogeography-Based Optimization approach to secondary protein prediction
Network Pruning via Annealing and Direct Sparsity Control
Information Reuse Attention in Convolutional Neural Networks for Facial Expression Recognition in the Wild
Detection of bearing failures using wavelet transformation and machine learning approach
Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations
Comparison of linear and non-linear data projection techniques in recognizing universal facial expressions
Designing LLM-powered agents to manage clinical text reports in medical institutions
A novel hardware-efficient spiking neuron model based on asynchronous cellular automaton dynamics exhibiting various nonlinear response curves
Single channel wireless EEG device for real-time fatigue level detection
Accurate SVM Text Classification for Highly Skewed Data Using Threshold Tuning and Query-Expansion-Based Feature Selection
A CLIP-based Siamese Approach for Meme Classification
A unified approach to evolving plasticity and neural geometry
An Efficient Channel-level Pruning for CNNs without Fine-tuning
Accelerating Grid Search by Pruning
Combining evolution strategies and neural network procedures for compression driver design
Model of associative memory based on antibody chain with one-dimensional chaotic dynamical system
A semi-automatic indexing system for cell images
Personalized Hashtag Recommendation with User-level Meta-learning
Design of a hierarchical-clustering CMAC-PID controller
Advancing EEG-Based Emotion Recognition: Unleashing the Power of Graph Neural Networks for Dynamic and Topology-Aware Models
Efficient Parameter Based Online Object Tracking
Cross-Situational Learning with Reservoir Computing for Language Acquisition Modelling
STMS: An Out-Of-Distribution Model Stealing Method Based on Causality
Unsupervised features extraction from asynchronous silicon retina through Spike-Timing-Dependent Plasticity
A sandpile model for reliable actor-critic reinforcement learning
Dynamically defined gestures in an articulatory phonology
Extracting Refined Rules from Hybrid Neuro-Symbolic Systems
NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records
Cell assemblies for query expansion in Information Retrieval
Semi-supervised convolutional extreme learning machine
An Analytic Solution to the Inverse Ising Problem in the Tree-reweighted Approximation
Ferroelectric tunnel memristor-based neuromorphic network with 1T1R crossbar architecture
A Novel Document Classification Algorithm Based on Statistical Features and Attention Mechanism
Feature extraction for neural network equalizers trained with multi-gradient
Futures hedging using clusters with dynamic behavior of market fluctuation
Adaptive blind MIMO system identification using principal component neural models
Multi-Level Compare-Aggregate Model for Text Matching
Stochastic collapsed variational Bayesian inference for biterm topic model
Learning to Optimise Routing Problems using Policy Optimisation
Clustering using neural networks and Kullback-Leibler divergency
Pulse Mode Multilayer Neural Network with Floating Point Operation and On-Chip Learning
A Neural Reinforcement Learning Approach to Gas Turbine Control
Toward Invisible Region Restoration for Single-View 3D Face Reconstruction
DNA Microarray Data Analysis: Effective Feature Selection for Accurate Cancer Classification
Boosting Learning Machines with Function Compositions to Avoid Local Minima in Regression Problems
A zero order minimization algorithm using a neural network
Detection of articulation disorders using Empirical Mode Decomposition and neural networks
A Neural Network Approach for Bridging the Semantic Gap in Texture Image Retrieval
Accelerated codebook searching in a SOM-based Vector Quantizer
On a New Type of Neural Computation for Probabilistic Symbolic Reasoning
A semi-supervised formulation to binary kernel spectral clustering
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
Exploring the Potential and Boundaries of KAN in Encrypted Traffic Classification
From CPU to FPGA - Acceleration of self-organizing maps for data mining
Enhancing Weather Model: A Meteorological Incremental Learning Method with Long-term and Short-term Asynchronous Updating Strategy
A biologically motivated algorithm for image interpretation based on multi-pass multi-resolution techniques
Finding sensors for homeostasis of biological neuronal networks using artificial neural networks
A Neural Network model of the impact of political instability on tourism
STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy
Task-Aware Transformer For Partially Supervised Retinal Fundus Image Segmentation
Exploring What to Share for Multimodal Image Synthesis
PreSem-Surf: RGB-D Surface Reconstruction with Progressive Semantic Modeling and SG-MLP Pre-Rendering Mechanism
Solar radiation prediction using RBF Neural Networks and cloudiness indices
Minimum entropy, k-means, spectral clustering
Self-regulated Learning Algorithm for Distributed Coding Based Spiking Neural Classifier
Fully complex-valued ELM classifiers for human action recognition
Classification of sparsely and irregularly sampled time series: A learning in model space approach
Cooperation Skill Motivated Reinforcement Learning for Traffic Signal Control
Evolving adaptive, high-dimensional, camera-based speed sensors
A neural path integration mechanism for adaptive vector navigation in autonomous agents
Recurrent snap-drift neural network for phrase recognition
RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning
A quick learning method that gambles: a learning system that hates learning
Enhanced YOLOv8 for Road Defect Detection in Complex Scenarios
Multi-label Classification Models for Detection of Phonetic Features in building Acoustic Models
Soft-decision hierarchical classification using SVM-type classifiers
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations
Regression in the Presence Missing Data Using Ensemble Methods
Preempting Catastrophic Forgetting in Continual Learning Models by Anticipatory Regularization
BALLKNN: An efficient and scalable KNN based on Euclidean similarity
Uncertainty of the Short-Term Electrical Load Forecasting in Utilities
Sampling-based learning control for quantum discrimination and ensemble classification
Modelling and inverting complex-valued wiener systems
An Enhanced Fuzzy Neuron Controller for Curved Search Neural Network Learning
Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks
Graph-based coupled behavior analysis: A case study on detecting collaborative manipulations in stock markets
Generalized Local Aggregation for Large Scale Gaussian Process Regression
Neural synchrony and selective attention
FinXplore: An Adaptive Deep Reinforcement Learning Framework for Balancing and Discovering Investment Opportunities
Fine-Grained Road Mining from Satellite Images with Bilateral Xception and DeepLab
Hidden Markov model inference in an Associative memory architecture
Feasible directions linear programming by neural networks
Fascinating rhythms by chaotic Hopfield networks
Control of methylamine removal reactor using neural network based model predictive control
A local approach of adaptive affinity propagation clustering for large scale data
Neural Linguistic Steganography with Controllable Security
Reinforcement-based Program Induction in a Neural Virtual Machine
Distinction between handwritten and machine-printed characters with no need to locate character or text line position
Approximate query processing for efficient content-based image retrieval based on a hierarchical SOM
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks
Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications
Delayed neural networks with multistable almost periodic solutions
Learnable Multi-Transform Based Tensor Network for Low-Rank Tensor Decomposition
Gaze tracking based on pupil estimation using multilayer perception