yusuke1997/dblp-id-title huggingface dataset:
A hybrid method for novelty detection in time series based on states transitions and swarm intelligence
Objective Segmentation Based on Characteristics of Single Channel MR Images
Causeways: Building Bridges with Context in Peer-To-Peer Federated Learning
First-order causal process for causal modelling with instantaneous and cross-temporal relations
Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images
Exploiting homophily-based implicit social network to improve recommendation performance
Time series prediction and anomaly detection with recurrent spiking neural networks
Mixture of nonlinear models: a Bayesian fit for Principal Curves
Deep learning inspired prognostics scheme for applications generating big data
An ANN for recognizing melody preferences
Fault accommodation for nonlinear systems using cerebellar model articulation controller
Wavelet-neural-network-based backstepping control for chaotic systems
Neural network adaptive controllers
A telehealth framework for dementia care: an ADLs patterns recognition model for patients based on NILM
Market Making with Deep Reinforcement Learning from Limit Order Books
Policy Iteration Algorithm for Constrained Cost Optimal Control of Discrete-Time Nonlinear System
Parallel Data Augmentation for Text-based Person Re-identification
Recognition of unconstrained handwritten digits using modified chaotic neural networks
TRGNN: Text-Rich Graph Neural Network for Few-Shot Document Filtering
A Method of Relation Extraction: Integrating Graph Convolutional Networks, Relative Entity Position Attention and Back-Multi-Head-Attention Mechanism
An Improved Minibrain That Learns Through Both Positive and Negative Feedback
A regression model with a hidden logistic process for feature extraction from time series
Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks
A Light-Weight Crowdsourcing Aggregation in Privacy-Preserving Federated Learning System
Contextual Weisfeiler-Lehman graph kernel for malware detection
Color image segmentation using fuzzy min-max neural networks
Similarity-balanced Discriminant Neighborhood Embedding
Radial basis network approach for nonlinear filtering in discrete time
Policy gradient methods with Gaussian process modelling acceleration
Mutual Information Maximization in Graph Neural Networks
Neuro-Based Human-Face Recognition with 2-Dimensional Discrete Walsh Transform
MetaClusterFL: Personalized Federated Learning on Non-IID data with Meta-learning and Clustering
An angle and density-based method for key points detection
Adaptive parallel identification of dynamical systems by adaptive recurrent neural networks
Semantic Memory Knowledge Acquisition Through Active Dialogues
Deep Ensemble Art Style Recognition
Optimizing Data Locality and Termination Criterion for t-SNE
MocGCL: Molecular Graph Contrastive Learning via Negative Selection
A Clustering-based Sample Selection Method for Improving Replay Buffer Quality in Continual Self-Supervised Learning
Optimized classification of multiclass problems applied to EMG-control of hand prostheses
A feature engineering method for machine learning inspired by quantum mechanics
HRCS_EE: a human-robot collaboration system to help the elderly: *Note: Sub-titles are not captured in Xplore and should not be used
Implementation of an MLP-based DOA system using a reduced number of MM-wave antenna elements
Concept drift detection using supervised bivariate grids
DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction
ISFP: Iterative Simultaneous Optical Flow Estimation and Interest Points Extraction Network
Attention driven computational model of the auditory midbrain for sound localization in reverberant environments
Neural Network Based Systems for Prostate Cancer Stage Prediction
Exploration of mean-field approximation for feedforward networks
Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality?
Rule extraction and validity domain on a multilayer neural network
Enhanced SVR ensembles for wind power prediction
YOLO-Wide: A Complex Background Small Object Detection Network for Wide-Field High-Resolution Cameras
Broadband Active Sonar Swimmer Detection and Identification
SAMNER: Image Screening and Cross-Modal Alignment Networks for Multimodal Named Entity Recognition
VN-GAN: Identity-preserved Variation Normalizing GAN for Gait Recognition
Learning human motion feedback with neural self-organization
Testing potentials of dynamic quadratic neural unit for prediction of lung motion during respiration for tracking radiation therapy
Nonlinear synaptic Neural Network for Maximum Flow problems
Generation of explicit knowledge from empirical data through pruning of trainable neural networks
Integrating Background Knowledge in Medical Semantic Segmentation with Logic Tensor Networks
A relational multi-objective genetic algorithm
NPLP: A Noisy Pseudo-Label Processing Approach for Unsupervised Domain-Adaptive Person Re-ID
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification
Improving the separability of a reservoir facilitates learning transfer
MTD-Net: Moving Target Defense for Defending Neural Networks Adversarial Attacks
A Compressed Hidden Naive Bayesian Classifier
The Context-Aware Learning Model: neuro-experience-powered Logistic Regression Backpropagation (CALM-nepLRB)
Three theorems: Brain-like networks logically reason and optimally generalize
A Prior Setting that Improves LDA in both Document Representation and Topic Extraction
Loss Prediction: End-to-End Active Learning Approach For Speech Recognition
Structure-based fitness prediction for the variable-structure DANNA neuromorphic architecture
Fractal Augmented Pre-training and Gaussian Virtual Feature Calibration for Tackling Data Heterogeneity in Federated Learning
Improving Personality Alignment in Role-Playing Dialogue Agents for Small LLMs
Non-conjugate Posterior using Stochastic Gradient Ascent with Adaptive Stepsize
Hough Transform Neural Network for Seismic Pattern Detection
Generative Reconstruction Model for Trajectory Anomaly Detection and Virtual Traffic Flow Authenticity Evaluation
A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data
YogaTube: A Video Benchmark for Yoga Action Recognition
Hyperarticulation aids learning of new vowels in a developmental speech acquisition model
Dynamic Environment-driven Autonomous Drone Path Planning via Deep Reinforcement Learning
Feature recognition on expressed sequence tags of human DNA
Multi-criteria Rank-based Aggregation for Explainable AI
DMT-DHIN: A Dynamic Heterogeneous Information Network Framework for Detecting Malicious Encrypted Traffic
Subgraph-Oriented Heterogeneous Drug-Target Interaction Identification
A Hybrid 3DVar-EnKF Data Assimilation Approach Based on Multilayer Perceptron
Myocardial Infarction Segmentation From Late Gadolinium Enhancement MRI By Neural Networks and Prior Information
Periodic Neural Networks for Multivariate Time Series Analysis and Forecasting
Force of Attraction-Based Distribution Calibration for Enhancing Minority Class Representation
CCS-SQL: Enhancing Text-to-SQL Framework for Computational Queries via Large Language Models
PICLAnony: Anonymous Face Generation with Controllable Attributes based on Parametric Imitative Contrastive Learning
Fast insect damage detection in wheat kernels using transmittance images
A novel neural network for four-term analogy based on area representation
Generic Prioritization Framework for Target Selection and Instrument Usage for Reconnaissance Mission Autonomy
FPGA Implementation of Pulse Density Hopfield Neural Network
An adaptive sparse distributed memory
SVM Training: Second-Order Cone Programming versus Quadratic Programming
Co-teaching with Local and Global Information for Weakly Supervised Video Anomaly Detection
Nonlinear regularization path for the modified Huber loss Support Vector Machines
Complex-valued online classifier
A study on the simple penalty term to the error function from the viewpoint of fault tolerant training
Redundancy reduction in self-organising map merging for scalable data clustering
Adaptation of a wheel loader automatic bucket filling neural network using reinforcement learning
An Enhanced Transferable Adversarial Attack Against Object Detection
Nonlinear responses of an asynchronous cellular automaton model of spiral ganglion cell
Local intrinsic dimensionality estimators based on concentration of measure
A physiologically motivated front-end for speech recognition
Semantic Object Alignment and Region-Aware Learning for Change Captioning
Dynamic Generative Adaptation for Data-Efficient GAN
An Adaptive Control Approach for Intelligent Wheelchair Based on BCI Combining with QoO
An adaptive learning control approach based on constructive function approximation
Simultaneous estimation of odor classes and concentrations using an electronic nose
Understanding Language Dependency on Emotional Speech using Siamese Network
A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering
Towards predicting persistent activity of neurons by statistical and fractal dimension-based features
CD-SLFN: A Curiosity-Driven Online Sequential Learning Framework with Self-Adaptive Hot Cognition
Attention and Graph Matching Network for Retrieval-Based Dialogue System with Domain Knowledge
Improved Boosted Regression Forests Through Non-Greedy Tree Optimization
Stock Price Manipulation Detection using Spiking Neural Networks
Link Prediction with Physics-Inspired Graph Neural Networks
Initialization of directions in projection pursuit learning
AuxBlocks: Defense Adversarial Examples via Auxiliary Blocks
Deterministic chaos in mobile robots
Wavelet Basis Function Neural Networks
DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks
Attention-Based Multi-Model Ensemble for Automatic Cataract Detection in B-Scan Eye Ultrasound Images
Recognition of Unsafe Driving Behaviours Using SC-GCN
AMIFS: adaptive feature selection by using mutual information
Partial Adversarial Training for Prediction Interval
Portable Biomimetic Retina for Learning, Perception-based Image Acquisition
The temporality of consciousness: Computational principles of a single information integration-propagation process (I2P2)
Airplane Detection in Optical Remote Sensing Video Using Spatial and Temporal Features
ECoG-Based Movement Classification and Limbs 3D Translation Prediction : a Deep Learning Study
Determining field of visual attention in associative memories
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention
Transfer Learning Framework for Forecasting Fresh Produce Yield and Price
Widely Linear Matched Filter: A Lynchpin towards the Interpretability of Complex-valued CNNs
Classification of large set of handwritten characters using modified back propagation model
Training of neural network ensemble through progressive interaction
Exploring the Effectiveness of Appearance Descriptor in DeepSORT
A Two-Stage Enhancement Method for Object Detection on Low-Resolution Images
A Systems Software Architecture for Training Neural, Fuzzy Neural and Genetic Computational Intelligent Networks
Self-Organizing Activity Description Map to represent and classify human behaviour
CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression
LLM-Based Embeddings for Program Analysis and Optimization
Explorations on system identification via higher-level application of Adaptive-Critic Approximate Dynamic Programming
A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework
Using active learning techniques for improving database schema matching methods
An automatic segmentation technique for color images based on SOFM neural network
A density based method for multivariate time series clustering in kernel feature space
Coupling Robots Behavior by Introducing Reactive Motivational Orientations
Flight dynamics modeling and recognition using finite state machine for automatic insect recognition
Characterizing prior knowledge-attention relationship by a computational model of cognitive reading
A Weight Evolution Algorithm with Deterministic Perturbation
A Novel Weighted LBG Algorithm for Neural Spike Compression
Interval Type-2 Fuzzy weighted Extreme Learning Machine for GDP Prediction
Flex-PIM: A Ferroelectric FET based Vector Matrix Multiplication Engine with Dynamical Bitwidth and Floating Point Precision
Heteroscedastic Gaussian based correction term for fisher discriminant analysis and its kernel extension
Deep Neural-Gas Clustering for Instance Segmentation across Imaging Experiments
"Optimal" neural representation of higher order for quadratic combinatorial optimization
Prediction intervals for electricity load forecasting using neural networks
Feature selection by independent component analysis and mutual information maximization in EEG signal classification
Statistical spiking model for real world pattern recognition applications
RIT2FIS: A Recurrent Interval Type 2 Fuzzy Inference System and its Rule Base Estimation
GSAPool: Gated Structure Aware Pooling for Graph Representation Learning
Improving ANN performance for imbalanced data sets by means of the NTIL technique
Analysis of the influence of diversity in collaborative and multi-view clustering
Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition
A PAA-PSO technique for investment strategies in the financial market
Reinforcement learning approach to individualization of chronic pharmacotherapy
Fast stochastic neighbor embedding: a trust-region algorithm
Using Multi-objective Algorithms for Optimizing Support Vector Regression Parameters
Multifractal feature vectors for Brain-Computer interfaces
Emotion-aware and Intent-controlled Empathetic Response Generation using Hierarchical Transformer Network
Exploring Pixel Alignment on Shallow Feature for Weakly Supervised Object Localization
Adaptive Neural-Based Backstepping Control of Uncertain MIMO Nonlinear Systems
Employer-Employee Network for Conversational Recommendation
Application of hybrid learning strategy for manipulator robot
GExSent: Gated Experts for Robust Sentiment Analysis Across Modalities
RADDACL: A Recursive Algorithm for Clustering and Density Discovery on Non-linearly Separable Data
Iterative fast orthogonal search algorithm for sparse self-structuring generalized single-layer networks
Spatiotemporal Integration of Neuronal Activity for Single-Trial Classifications of Bistable Perception
Deep convolutional and recurrent writer
Online prediction of time series data with recurrent kernels
Cluster-based support vector machines in text-independent speaker identification
Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning
Leveraging the Power of Echo State Network for Enhanced Temporal Knowledge Graph Reasoning
Learn from Noise: Detecting Deepfakes via Regional Noise Consistency
A Comparative Study of Machine Learning and NLP Techniques for Uses of Stop Words by Patients in Diagnosis of Alzheimer's Disease
A chaos synchronization-based dynamic vision model for image segmentation
Metagenomics-based signature clustering and interactive visualization analysis
Photonic reservoir computer with output feedback for chaotic time series prediction
Combining Pruning Strategies to Generate Efficient Inpainting Networks
Learning nonlinear constraints with contrastive backpropagation
Estimating module relevance with Sugeno integration of modular neural networks using Interval Type-2 Fuzzy logic
A Novel LSTM Approach for Asynchronous Multivariate Time Series Prediction
Weakly Supervised Object Localization Using Self-Paced Pyramid Adversarial Learning
Dual-Path Collaborative Optimization Network for Continuous Sign Language Recognition
A Bio-inspired Dark Adaptation Framework for Low-light Image Enhancement
FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework
Multi-GPU based camera network system keeps privacy using growing neural gas
Harmonic identification using an Echo State Network for adaptive control of an active filter in an electric ship
Explainable Visual Question Answering via Hybrid Neural-Logical Reasoning
Self-Training and Modular Approaches for Surgical Image Recognition
TRELIS: an optimal unsupervised local training rule
Curiosity-Driven Reinforcement Learning with Homeostatic Regulation
Log anomaly detection based on parallel fusion of CNN and GRU
R2L: Routing With Reinforcement Learning
Weighted Keywords-Guided feature Extraction and Reasoning Network for Visual Grounding
Learning hydrologic flow separation algorithm and local ANN committee modeling
Multimodal Affect Recognition Using Temporal Convolutional Neural Networks
ScreenSeg: On-Device Screenshot Layout Analysis
Bio-inspired Model Based on Global-Local Hybrid Learning in Spiking Neural Network
Cross X-AI: Explainable Semantic Segmentation of Laparoscopic Images in Relation to Depth Estimation
Neural networks and Cao's method: A novel approach for air pollutants time series forecasting
Bootstrapping nonparametric feature selection algorithms for mining small data sets
Clustering-based gene-subnetwork biomarker identification using gene expression data
Components for a sequence processing neural network
Ensemble LSDD-based change detection tests
How AI Affects Our Understanding of Musical Works That Should Be Protected by Copyright
Counterfactual Multi-agent Decision Transformer
Computational modeling of human performance in a sequence learning experiment
SuperLED: Supervised Contrastive Learning based Dual Path Triple Extraction Framework
Contrastive Sensor Excitation for Generalizable Cross-Person Activity Recognition
Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification
Meta-Learning Related Tasks with Recurrent Networks: Optimization and Generalization
Extended Attention Mechanism for TSP Problem
Understanding the Difficulty of Low-Precision Post-Training Quantization for LLMs
A VLSI implementation of mixed-signal mode bipolar neuron circuitry
Decentralized control of nonlinear multi-agent systems using single network adaptive critics
Online Event Detection in Streaming Time Series: Novel Metrics and Practical Insights
Deep recurrent neural network for seizure detection
A Distant Supervised Relation Extraction Model with Two Denoising Strategies
Evolving a neural network using dyadic connections
Optimising frequency band selection with forward-addition and backward-elimination algorithms in EEG-based brain-computer interfaces
Analyzing the Benefits of Using a Fuzzy-Neuro Model in the Accuracy of the NeurAge System: an Agent-Based System for Classification Tasks
Audio Adversarial Example Generation via Information Reduction
Zero-shot Stance Detection with Sentiment Signals and Contrastive Learning
Internet Traffic Forecasting using Neural Networks
Improving Hallway Navigation in Mobile Robots with Sensor Habituation
Statistical and Geometrical Alignment using Metric Learning in Domain Adaptation
Incorporating Specific Knowledge into End-to-End Task-oriented Dialogue Systems
Variational Autoencoder Inverse Mapper: An End-to-End Deep Learning Framework for Inverse Problems
Clifford Hopfield Neural Networks
Reward hierarchical temporal memory
Neurodynamics-based robust eigenstructure assignment for second-order descriptor systems
Feature selection and condition monitoring of gearbox using SOM
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation
Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction
Estimating a posteriori probability with P-type nodes
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization
Factors controlling generalization ability of MLP networks
Review of stability properties of neural plasticity rules for implementation on memristive neuromorphic hardware
Lesion Feature Extraction and Classification Optimization Method Using Dynamic Fusion of Global Attention and Local Attention
Influence of unstable patterns in layered cluster oriented ensemble classifier
Physics-Informed CNN for the Design of Acoustic Equipment
An automated method for neuronal spike source identification
Study of Short-Term Personalized Glucose Predictive Models on Type-1 Diabetic Children
CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises
Flexible Takagi-Sugeno fuzzy systems
Achieving Fairness through Constrained Recourse
On the brain-mind visual experiences
Multi-factor EEG-based user authentication
Cascade Network with Boundary-Adaptive Filter for Surgical Gesture Recognition
Self-adaptive Prompt-tuning for Event Extraction in Ancient Chinese Literature
Multivariate anomaly detection in real-world industrial systems
Sensor Selection for Driving State Recognition
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks
A watermark-based framework to actively protect deep neural networks
Construction of neural network-based prediction intervals using particle swarm optimization
Multi-task Prompt Words Learning for Social Media Content Generation
Neural networks for fitting PES data distributions of asphaltene interaction
Text segmentation in ancient topographic maps and floor plans with support vector data description
Large-scale prediction of drug-target interactions from deep representations
Artificial neural networks for non-invasive chromosomal abnormality screening of fetuses
Ensemble Learning for Hierarchies of Locally Arranged Models
Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting
A multivalent logic approach to risk estimation of learning machines
MEFold: Memory-Efficient Optimization for Protein Language Models via Chunk and Quantization
Systolic-Array Spiking Neural Accelerators with Dynamic Heterogeneous Voltage Regulation
SeLaB: Semantic Labeling with BERT
Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans
PRDG: Personalized Recommendation with Diversity Based on Graph Neural Networks
Test sample size determination for biometric systems based on confidence elasticity
Hardware requirements for neural-net optical character recognition
Neural network based finite horizon stochastic optimal controller design for nonlinear networked control systems
The Analysis of Pen Inputs of Handwritten Symbols using Self Organizing Maps and its Application to User Authentication
Resilient Remote Heart Rate Measurement from Partially Masked Faces
Characteristics of auto-associative MLP as a novelty detector
Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments
Learning functions and their derivatives using Taylor series and neural networks
Fusion of Interest Point/Image based descriptors for efficient person re-identification
Graph Convolutional Neural Networks-based 3D Hand Pose Estimation over Point Clouds
Wavelet-Based Feature Extraction for Microarray Data Classification
Closing the Dynamics Gap via Adversarial and Reinforcement Learning for High-Speed Racing
Real-Time spike sorting using an optimized STDP Spiking Neural Network on FPGA
Emergence of tool use in an articulated limb controlled by evolved neural circuits
Content-based image retrieval by using deep kernel Machine with Gaussian Mixture Model
Towards end-to-end Cyberthreat Detection from Twitter using Multi-Task Learning
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings
Maximal variation and missing values for componentwise support vector machines
Knowledge-Uncertainty Axiomatized Framework with Support Vector Machines for Sparse Hyperparameter Optimization
Optimal method for growth in dynamic self organizing learning systems
Efficient CNN-Based Classification of NLOS/LOS Conditions Using CIR Features in Ultra-Wideband Networks
Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning
Multi-level Feature Interaction and Local-global Dynamic Fusion Network for Medical Image Segmentation