yusuke1997/dblp-id-title huggingface dataset:
Goat Leather Quality Classification Using Computer Vision and Machine Learning
Reordering adaptive directed acyclic graphs: an improved algorithm for multiclass support vector machines
Equalization Using the Bilinear Recursive Polynomial Perceptron with Decision Feedback
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes
Optimal brain surgeon variants for feature selection
Network structural optimization based on swarm intelligence for highlevel classification
Prediction of Customer Status in Corporate Banking Using Neural Networks
Multiple regression estimation for motion analysis and segmentation
Information theoretic spectral clustering
An Improved Template Representation-based Transformer for Abstractive Text Summarization
Data-centric computation mode for convolution in deep neural networks
Kernel-based semi-supervised learning for novelty detection
Link Prediction of Directed Network Based on Node Importance
Stochastic Neural Interface with Selective Synapse
A hierarchical GMDH-based polynomial neural network for handwritten numeral recognition using topological features
Biomimetics speaker identification systems for network security gatekeepers
Fine-grained Early Frequency Attention for Deep Speaker Recognition
Traffic sign detection with VG-RAM weightless neural networks
Towards a Method to Classify Language Style for Enhancing Conversational Systems
Neuro-Wavelet Parametric Modeling
When the best reviews are not placed between extremes
A comparative study of HTM and other neural network models for online sequence learning with streaming data
The Optimal Sampling Strategy for Few-shot Named Entity Recognition Based with Prototypical Network
Reward Shaping with Dynamic Trajectory Aggregation
Two-stage Neural Architecture Optimization with Separated Training and Search
Efficient Low-Power Material Analysis using Neuromorphic Hardware: A spectral case study
Distributed Fault Accommodation for a Class of Interconnected Nonlinear Systems with Event-Triggered Inter-Communications
Gene Ontology term prediction based upon amino acid occurrence
Robot learning by Single Shot Imitation for Manipulation Tasks
Towards Quantifying Intrinsic Generalization of Deep ReLU Networks
Learning causal dependencies in large-variate time series
A Collaborative Framework Using Multimodal Data and Adaptive Noise for Human Behavior Anomaly Detection
Multi-Modal Emotion Recognition Based On deep Learning Of EEG And Audio Signals
An Application Development Platform for neuromorphic computing
HMAX model: A survey
Analysis of distributed databases with a hybrid rough sets approach
Enhancement of Deep Architecture using Dropout/ DropConnect Techniques Applied for AHR System
Training DNN IoT Applications for Deployment On Analog NVM Crossbars
Lane Marking Detection and Classification using Spatial-Temporal Feature Pooling
Concentration based feature construction approach for spam detection
Data Interpolation Using Kohonen Networks
Instance space analysis of the capacitated vehicle routing problem
Cascade error projection with low bit weight quantization for high order correlation data
Noise tolerant moments for neural network classification
Coarse and fine learning in deep networks
SEP: Self-Rewarded Entity-Level Preference for Open Named Entity Recognition
Satellite Images and Deep Learning Tools for Crop Yield Prediction and Price Forecasting
Cellular Network Traffic Prediction In Data-Scarce Environments: A Cross-Domain Transfer Learning Mechanism
Make BERT-based Chinese Spelling Check Model Enhanced by Layerwise Attention and Gaussian Mixture Model
BSP-YOLOv10: A Small Object Detection Model for Detecting Appearance Scratches in Barrel-Shaped Products
Local and Global: Multi-View Modeling for Duplicate Question Detection
Modular deep belief networks that do not forget
Adaptive Classifiers in Stationary Conditions
Genetic feature selection in EEG-based motion sickness estimation
Implication of Subject Transfer in Motor Imagery Brain Computer Interfacing systems
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning
Lightweight Graph Convolutional Network For Efficient Skeleton Based Action Recognition
CHAIR-Classifier of Hallucination As Improver
Patch Ranking Map: Explaining Relations among Patches, Top-ranked Features and Decisions of a Convolutional Neural Network
Automatic Epidermis Segmentation in Fluorescence Images Based on a U-Shaped Network Model
Detection of motorcyclists without helmet in videos using convolutional neural network
Gaussian Process Regression: Active Data Selection and Test Point Rejection
CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise
Parameterization of Vector Symbolic Approach for Sequence Encoding Based Visual Place Recognition
User Alignment via Structural Interaction and Propagation
Federated Learning with Extreme Label Skew: A Data Extension Approach
Supplementing neural reinforcement learning with symbolic methods: Possibilities and challenges
An introduction to morphological perceptrons with competitive learning
Artificial neuron models for hydrological modeling
Kernel parameter optimization of Kernel-based LDA methods
TCGPN: Temporal-Correlation Graph Pre-trained Network for Stock Forecasting
Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor Algorithm
MSFINet: Multi-Scale Feature Interaction Fusion Network for Skin Lesion Image Segmentation
A voxel selection method for the multivariate analysis of imaging genetics data
Exploring machine learning methods for the Star/Galaxy Separation Problem
An Algorithm for Automatic Design of Two Hidden Layered Artificial Neural Networks
State space reconstruction from noisy nonlinear time series: An autoencoder-based approach
A Riemannian Residual Learning Mechanism for SPD Network
Adaptive Codomain Sampling for Accurate Surrogate Modeling
Transfer Learning Based Model for Classification of Cocoa Pods
Safe Screening for ℓ2-penalized Unbalanced Optimal Transport Problem
Multistep Sequential Exploration of Growing Bayesian Classification Models
Evaluating Gaussian Grasp Maps for Generative Grasping Models
Learning rule for associative memory in recurrent neural networks
Hybrid neural network techniques for storm system identification and tracking
Learning Deep Contrastive Network for Facial Age Estimation
Incremental Unsupervised Domain Adaptation Through Optimal Transport
Looking back at Labels: A Class based Domain Adaptation Technique
A Methodology for Understanding the Origins of False Negatives in DNN Based Object Detectors
Neural networks as a path to self-awareness
SEVA3D: Using Arti cial Neural Networks to Autonomous Vehicle Parking Control
Bag of Tricks for Chinese Named Entity Recognition
Enhancing Person Re-Identification with TF-SS: A Transformer Model based on Shifted Windows Division and Skipping Sub-Layer Techniques
Handwritten pattern recognition with a binary associative memory
Theoretical and computational aspects of quaternionic multivalued Hopfield neural networks
Pseudometrics for time series classification by nearest neighbor
On the dynamics of a Recurrent Hopfield Network
kNN ensembles with penalized DTW for multivariate time series imputation
Convergent design of a piecewise linear neural network
Entropy spatial clustering in epileptic EEG
EfficientASR: Speech Recognition Network Compression via Attention Redundancy and Chunk-Level FFN Optimization
Exploiting Synaptic Traces for Online Weight Adaptation in Spiking Autoencoder Networks
Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization
Methodology Based on Adaboost Algorithm Combined with Neural Network for the Location of Voltage Sag Disturbance
A Progressive Framework for Two-Way Clustering Using Adaptive Subspace Iteration for Functionally Classifying Genes
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods
Optimizing Sparse Kernel Ridge Regression hyperparameters based on leave-one-out cross-validation
Predicting evolving chaotic time series with fuzzy neural networks
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?
Dynamical consistent recurrent neural networks
Occluded Gait Recognition
A DWT-based Robust Watermarking Scheme with Fuzzy ART
A hierarchical hybrid neural model with time integrators in long-term peak-load forecasting
Artificial neural network applications in immunology
Designing Financial Strategies based on Artificial Neural Networks Ensembles for Stock Markets
Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction
Long Short-Term Reasoning Network with Theory of Mind for Efficient Multi-Agent Cooperation
Space-Time Smooth Control of Closed-Loop Neuromorphic Robotic Arms Using Spiking Neural Networks
Detection of Adversarial Examples in Deep Neural Networks with Natural Scene Statistics
WNN-based robust total-sliding-mode control for the synchronization of uncertain chaotic systems
SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting
AeneasHDC: An Automatic Framework for Deploying Hyperdimensional Computing Models on FPGAs
Data classification with a generalized Gaussian components based density estimation algorithm
Hamiltonian vector field for the Lorenz invariant set
BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity
Function approximation with uncertainty propagation in a VLSI spiking neural network
Stroke Lesion Detection Using Convolutional Neural Networks
Multi-Truth Discovery While Being Aware of Unbalanced Data Distribution
Overview of electronic nose algorithms
Learning the deterministically constructed Echo State Networks
FactorArmor: A Hierarchical Dual-Factor Framework with Attack Resilience for Face Forgery Detection
Forecasting stock indices with wavelet-based kernel partial least square regressions
Input Variables Selection Using Mutual Information for Neuro Fuzzy Modeling with the Application to Time Series Forecasting
TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
The Importance of Multiple Temporal Scales in Motion Recognition: from Shallow to Deep Multi Scale Models
Hairy neuron convergence theorems without the precision of timing
Convergence improvement of active set support vector training
Covid-19 Diagnosis via Voice Using Online Sequential Extreme Learning Machine
Enhancing Neural Networks with Locality-Sensitive Clustering of Internal Representations
Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems
Word based dialect classification using extreme learning machines
Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks
Contrastive Learning for Extracting Transferable User Profiles in Cross-Domain Recommendation System
Using support vector machine to construct a predictive model for clinical decision-making of ventilation weaning
Learning topological image transforms using cellular simultaneous recurrent networks
Eigenspectrum Shape Based Nyström Sampling
Ant Colony Optimization Changing the Rate of Dull Ants and its application to QAP
Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation
Designing beta basis function neural network for optimization using particle swarm optimization
Intelligent Boosting for Low Power-High Performance System
Improving kernel locality-sensitive hashing using pre-images and bounds
MLTL: Manifold-Based Long-Term Learning for Indoor Positioning using WiFi Fingerprinting
Efficient realization of classification using modified Haar DWT
DSA-SCGC: A Dual Self-Attention Mechanism based on Space-Channel Grouped Compression for Vehicle Re-Identification
Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees
Towards the next generation of exergames: Flexible and personalised assessment-based identification of tennis swings
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction
Towards Well-Being Management with Automated Qualitative Data Analysis
Distributed LQR design for multi-agent systems on directed graph topologies
TACR-YOLO: A Real-time Detection Framework for Abnormal Human Behaviors Enhanced with Coordinate and Task-Aware Representations
Learning confidence exchange in Collaborative Clustering
On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis
A no reference image quality assessment method for JPEG2000
Some results about the Vapnik-Chervonenkis entropy and the rademacher complexity
Particle Swarm Optimization in an adaptive resonance framework
DS-YOLO: A Vehicle Detection Model for UAV Aerial Photography Based on Improved YOLO11n
Continuous Target Speech Extraction: Enhancing Personalized Diarization and Extraction on Complex Recordings
LMFA-UNet: A Lightweight Multi-Granularity Feature Adaptation UNet for Skin Lesion Segmentation
Model-Free Reinforcement Learning based Lateral Control for Lane Keeping
JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning
Effect of long-term potentiation on the behavior of neural networks
Combination of generative models and SVM based classifier for speech emotion recognition
Predicting protein-protein interactions based on protein-domain relationships
Evaluation and identification of lightning models by artificial neural networks
HES: Edge Sampling for Heterogeneous Graphs
Investigation into Sub-Receptive Fields of Retinal Ganglion Cells with Natural Images
Cross-validated smooth multi-instance learning
Synthesis of crossed dipole frequency selective surfaces using genetic algorithms and artificial neural networks
Pose invariant face recognition with 3D morphable model and neural network
A charge recycling differential noise immune perceptron
Towards interpretable machine learning for clinical decision support
Emotion recognition and acoustic analysis from speech signal
Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications
A comparative study of the category choice of the fuzzy ART with the L-1 norm
ATP-binding site as a further application of neural networks to residue level prediction
Functional link expansions for nonlinear modeling of audio and speech signals
Direct MRAC with dynamically constructed neural controllers
Neural-Network-based Metalearning for Distributed Text Information Retrieval
Multi-Scale Node Neighborhood Aggregation Via Graph Coarsening and Transformer
To Generalize or Not to Generalize: Towards Autoencoders in One-Class Classification
Distilled Binary Neural Network for Monaural Speech Separation
Global uniform stability analysis of biological networks with different time-scales under perturbations
Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks
Analysis of Multilayer Perceptron networks in the multicore era
FIR-based classifiers for animal behavior classification
DMINet: A lightweight dual-mixed channel-independent network for cataract recognition
M-SOM: matricial self organizing map for sequence clustering and classification
Sentiment analysis with the exploration of overall opinion sentences
Ensemble of classifiers applied to motor imagery task classification for BCI applications
Recognition and Prediction of Human-Object Interactions with a Self-Organizing Architecture
Dynamic segmentation using Fuzzy Oscillatory Networks
A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons
GPU-based simulation of cellular neural networks for image processing
Application of rough set-based neuro-fuzzy system in NIRS-based BCI for assessing numerical cognition in classroom
Data Collection Maximization with V-DQN in UAV-Assisted Wireless Sensor Networks: A Deep Reinforcement Learning Approach
A neural network metamodel approach to capital investment decision analysis
From Code Changes to Performance Variations: A Predictive Approach for Microbenchmark Prioritization
Modular network SOM (mnSOM): from vector space to function space
Using genetic algorithms and ensemble systems in online cancellable signature recognition
A general aggregate model for improving multi-class brain-computer interface systems' performance
Extended LBP based Facial Expression Recognition System for Adaptive AI Agent Behaviour
Message Queue Throughput Time-Series Prediction by Fusing GANformer and TCN-Attention
UMVD-FSL: Unseen Malware Variants Detection Using Few-Shot Learning
Two-phase GA parameter tunning method of CPGs for quadruped gaits
Semi-supervised Campus Network Intrusion Detection Based on Knowledge Distillation
LS-SVM for bad debt risk assessment in enterprises
Lazy Self-Organizing Map and its behaviors
Fixed point method of step-size estimation for on-line neural network training
Denoised Kernel Spectral data Clustering
Keyword extraction using backpropagation neural networks and rule extraction
Overtraining and model selection with the self-organizing map
Developing Incremental Learning Models with Prototypes
Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles
A Mobile Vision System with Reconfigurable Intelligent Agents
Orthonormalization Learning Algorithms
Sleep Quality Estimation with Adversarial Domain Adaptation: From Laboratory to Real Scenario
Mahalanobis distance-based ARTMAP network
The Metro Visualisation of Component Planes for Self-Organising Maps
Towards Trustworthy AI: Raising awareness in marginalized communities
A topographical nonnegative matrix factorization algorithm
DPA-RCNN: Dual Position Aware 3D Object Detector for Point Cloud
A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks
A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification
Local Movement Control with Neural Networks on Autonomous Robots
Robust EM algorithm for model-based curve clustering
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model
Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation
Improving Fairness in Density Peak Clustering through Fair Constraints and Multi-Objective Optimization Allocation
Case-based reasoning combined with neural networks for credit risk analysis
VRFF: Video Registration and Fusion Framework
Learning From Each Other: Exploring A Novel Mutual Learning Paradigm for Enhancing Code Generation Performance
Reinforcement Learning-based and Energy Efficiency-aware Power Management for RISC-V Platforms
Privacy-Preserving Fair Machine Learning Without Collecting Sensitive Demographic Data
A new spiking neuron model
Overcoming communication restrictions in collectives
A Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN
Hidden Markov Models and Gaussian Mixture Models for Bearing Fault Detection Using Fractals
Cross-Network Relationship Learning via Optimal Transport for Link Prediction
Pharmacoinformatics approach to the discovery of novel selective COX-2 inhibitors by in silico virtual screening
Efficient Resolution-preserving Network for Real-time Semantic Segmentation
Forecasting wind power - an ensemble technique with gradual coopetitive weighting based on weather situation
A model of Hopfield-type octonion neural networks and existing conditions of energy functions
Identifying uncertainty regions in Support Vector Machines using geometric margin and convex hulls
Outlier Detection based on Transformations for Astronomical Time Series
An adaptable connectionist text retrieval system with relevance feedback
Time series prediction by Kalman smoother with cross-validated noise density
Efficient neuro-fuzzy rule generation by parametrized gradient descent for seismic event discrimination
Differential Evolution and Covariance Ellipsoid for non-rigid transformation tracking of internal organs
Fuzzy-GIST for 4-emotion recognition in natural scene images
Robustness of kernel based regression: Influence and weight functions
Towards Compact and Explainable Deep Belief Networks
An LSTM based Encoder-Decoder Model for MultiStep Traffic Flow Prediction
Multi-class kernel logistic regression: a fixed-size implementation
PrivRec: Privacy-Preserving Cross-Domain Recommendation with Enhanced Learning Strategies
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models
Learning random subspace novelty detection filters
Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies
Solving inversion problems with neural networks
Temporal hand gesture recognition by fuzzified TSK-type recurrent fuzzy network
A Neural Network Approach to Image-Based Navigation and Localization
Using RBF neural networks and a fuzzy logic controller to stabilize wood pulp freeness
Shallow Vessel Segmentation Network for Automatic Retinal Vessel Segmentation
A learning based approach for social force model parameter estimation
Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model
Improved spike-timed mappings using a tri-phasic spike timing-dependent plasticity rule
Gaussian Function-Based Fuzzy Min-Max Neural Network
UVL: UAV Visual Localization Method with Enhanced Feature Associations via Visual Attention Mechanism
Simulations support the simple hypothesis that persistent coupling of electrochemical activity in recurrent network neurons is an objective signature of visual object unity
Performance of neural classifiers for fabric faults classification
Continual Gesture Learning without Data via Synthetic Feature Sampling
Health Monitoring of Complex Systems using Parallel Neural Networks
FedLCR: An Enhanced Personalized Federated Learning Method For Mitigating Intra-Client Inconsistency
Radar emitter signal recognition based on atomic decomposition
Fast parallel outlier detection for categorical datasets using MapReduce
A PID neural network controller
Investing in emerging markets using neural networks and particle swarm optimisation
Semantic Reconstruction Guided Missing Cross-modal Hashing
Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH
On the variance reduction of neural networks-experimental results for an automotive application
Prosody dependent Mandarin speech recognition
A discrete-time neural network model for systems identification
An Enhanced Key-utterance Interactive Model with Decouped Auxiliary Tasks for Multi-party Dialogue Reading Comprehension
Neighbourhood Vector as Shape Parameter for Pattern Recognition
Highly reliable breast cancer diagnosis with cascaded ensemble classifiers
A nonlinear time-varying channel equalizer using self-organizing wavelet neural networks
Training a network of mobile neurons
Real-time short-term natural water inflows forecasting using recurrent neural networks
True Online TD(λ)-Replay An Efficient Model-free Planning with Full Replay
Unsupervised Multimodal Image-to-Image Translation: Generate What You Want
Learning Useful Representations Through Stacked Self-Organizing Maps
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs
A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction
A neural network model for the decision-making process based on AHP
A novel hardware-efficient CPG model for a hexapod robot based on nonlinear dynamics of coupled asynchronous cellular automaton oscillators
Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets
Improving Real Age Estimation from Apparent Age Data
Multi Feature Representation and Aggregation Network for Accurate and Robust Visual Tracking
Spiking Neural Algorithms for Markov Process Random Walk
Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing
Improving point-based AIS trajectory classification with partition-wise gated recurrent units
Minimal Euler State Networks