yusuke1997/dblp-id-title huggingface dataset:
Dysarthric Speech Classification: A Comparative Analysis of Decision-Support Methods
Recognition of Occluded Patterns: A Neural Network Model
Gaussian mixture distance for information retrieval
Adaptive model-based control of robotic dynamic systems with a new neuro-fuzzy-fractal approach
On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification
End-to-end Image Classification in Linear Hybrid Cellular Automata
Multi-AUV Assisted Seamless Underwater Target Tracking Relying on Deep Learning and Reinforcement Learning
Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem
Combining multiple HONG networks for recognizing unconstrained handwritten numerals
FRTANet: Feature Reconstruction and Twofold Attention for Occluded Person Re-Identification
Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network
On Extending the SMO Algorithm Sub-Problem
Event Recognition with Automatic Album Detection based on Sequential Grouping of Confidence Scores and Neural Attention
SRF - A Structured Method for Enhancing Large Model Reasoning
Design of hybrid nonlinear spline adaptive filters for active noise control
Image Classification Using Wavelet Coefficients in Low-pass Bands
Prompt Engineering Techniques for Context-dependent Text-to-SQL in Arabic
Scalarization based Pareto optimal set of arms identification algorithms
A combined Bayesian network method for predicting drive failure times from SMART attributes
Generalized correntropy induced loss function for deep learning
An analysis of underfitting in MLP networks
CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection
Stock volatility prediction using multi-kernel learning based extreme learning machine
Coarse-to-fine trained multi-scale Convolutional Neural Networks for image classification
Intelligent control of non-linear plants using type-2 fuzzy logic and neural networks
Systemic intelligence: methods for growing up artefacts that live
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing
PTsFusion: Multimodal Medical Image Fusion Based on Parallel Transformers with Global-Local Feature Interaction
Reactive power control of DFIG wind farm using online supplementary learning controller based on approximate dynamic programming
Machine learning approaches to predict learning outcomes in Massive open online courses
A Biologically Plausible Speech Recognition Framework Based on Spiking Neural Networks
Harnessing NLP for test case prioritization: unsupervised approaches
Harmonic detection using wavelet transform
Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning
Identification of key music symbols for optical music recognition and on-screen presentation
Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring
A network for motion perception
Total sliding-mode-based genetic algorithm for linear piezoelectric ceramic motor drive
Feature/Model Selection by the Linear Programming SVM Combined with State-of-Art Classifiers: What Can We Learn About the Data
Short answer question examination using an automatic off-line handwriting recognition system and a novel combined feature
Towards realtime stance classification by spiking neural network
Neural networks for bond rating improved by multiple hidden layers
A Pulse-based Neural Hardware Implementation Based on the Controlled Conductance by MOSFET Circuit
Non-Dissipative Graph Propagation for Non-Local Community Detection
Dynamic Bayesian networks for machine diagnostics: hierarchical hidden Markov models vs. competitive learning
Transfer Anomaly Detection for Maximizing the Partial AUC
A "Deeper" Look at Detecting Cyberbullying in Social Networks
A Brain-inspired Method for Occluded 3D Object Recognition
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN
Nonlinear system identification based on SVR with quasi-linear kernel
Efficient modelling of spiking neural networks on a scalable chip multiprocessor
Emergence of Learning: An Approach to Coping with NP-Complete Problems in Learning
PB-DVAE: A Performance Bottleneck Location Model Based On Deep Variational Autoencoder
Hourly Global Solar Radiation Reconstruction Applying Machine Learning
Mandarin stress detection using hierarchical model based boosting classification and regression tree
Controllable-Quality Neural Video Representation via Inter-frame Motion and Residual Mapping
An autonomous competitive learning algorithm using quantum hamming neural networks
The role of neural synchrony and rate in high-dimensional input systems. The Antennal Lobe: A case study
Multi-modal Knowledge Graph Generation with Semantics-enriched Prompts
Digital Realization of PSTDP and TSTDP Learning
Supply air temperature control of AHU with a cascade control strategy and a SPSA based neural controller
Language Inference with Multi-head Automata through Reinforcement Learning
Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction
Curiosity-driven Exploration for Cooperative Multi-Agent Reinforcement Learning
Percognitron: Neocognitron coupled with perceptron
SVRG with adaptive epoch size
Composer classification based on temporal coding in adaptive spiking neural networks
TRANSFAKE: Multi-task Transformer for Multimodal Enhanced Fake News Detection
Image segmentation using dynamic mechanism based PCNN model
Fuzzy PSO: a generalization of particle swarm optimization
Simplified and gradual information control for improving generalization performance of multi-layered neural networks
Image sequence recognition with active learning using uncertainty sampling
CalliStyleGAN: A Chinese Calligraphy Style Transfer Method Based on StyleSwin and Dual-Style Injection
Exploring autoencoders for unsupervised feature selection
Toward Understanding Acceleration-based Activity Recognition Neural Networks with Activation Maximization
A Feature Ensemble-based Approach to Malicious Domain Name Identification from Valid DNS Responses
Quantifying the limited and gradual concept drift assumption
A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection
A heuristic to generate initial feasible solutions for the Unit Commitment problem
Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system
A knowledge based neural network approach for waste water treatment system
Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clustering
LOGAN's Run: Lane optimisation using genetic algorithms based on NSGA-II
Intelligent Classification and Automatic Annotation of Violations based on Neural Network Language Model
Dynamics of fractional-order neural networks
Analyzing the impact of data representations in classification problems using clustering
Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter
A neural correlate to learning decision and control using functional synaptic efficacy
A neural model of visually-guided navigation in a cluttered world
Query recommendation based on improved query flow graph *
Enhancing Flow Embedding Through Trace: A Novel Self-supervised Approach for Encrypted Traffic Classification
Unsupervised Meta-Learning for Clustering Algorithm Recommendation
DNA base-calling using polynomial classifiers
Analysis of Bias in GPT Language Models through Fine-tuning Containing Divergent Data
An energy efficient decoding scheme for nonlinear MIMO-OFDM network using reservoir computing
Super-Resolution Using Dual-Stage Generative Adversarial Network (DS-GAN) and IGMRF Prior
Supervised learning in a single layer Dynamic Synapses Neural Network
Minimum entropy parameter estimation: Application to the RKIP regulated ERK signaling pathway
Stochastic Curiosity Maximizing Exploration
MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction
A cognitive developmental robotics architecture for lifelong learning by evolution in real robots
An hypothesis on the origin of variable spatial scaling along the septo-temporal axis of the rodent hippocampus
Multi-Channel Co-Attention Network for Visual Question Answering
A Hybrid HMM/ANN Based Approach for Online Signature Verification
Arithmetic computing via rate coding in neural circuits with spike-triggered adaptive synapses
Formal and computational model of Adam Smith's Invisible Hand
Incremental learning of new classes from unbalanced data
Genetic algorithm for seismic velocity picking
A Comparative Analysis of Artificial Intelligence Methods for Breast Cancer Interpretation
DLLaVA: A Novel Multimodal Architecture with Enhanced Vision Encoder and Curriculum Learning
A biologically inspired recurrent neural network for sound source recognition incorporating auditory attention
Information retrieval using hybrid multi-layer neural networks
Deep Learning Post-Earnings-Announcement Drift
No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation
Intelligent system of speech recognition using Neural Networks based on DCT parametric models of low order
Generate Novel Image Styles using Weighted Hybrid Generative Adversarial Nets
Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery
GAN Latent Space Manipulation Based Augmentation for Unbalanced Emotion Datasets
Leaky PPO: A Simple and Efficient RL Algorithm for Autonomous Vehicles
Adversarial Manipulation of Reinforcement Learning Policies in Autonomous Agents
Cluster Developing 1-Bit Matrix Completion
Sample-to-Sample Learning and inverted bottleneck for Speaker Verification
A new crossbar architecture based on two serial memristors with threshold
Odor recognition systems for natural gas odorization monitoring
RevCuT Tree Search Method in Complex Single-player Game with Continuous Search Space
Support vector machines for class representation and discrimination
Learning What, Where and Which to Transfer
Some discrete Fourier kind transforms based on FLOS
Manifold optimization for nonnegative coefficient logistic regression
Extracting human players' Shogi game strategies from game records using growing SOM
Fuzzy ARTMAP Neural Network IDS Evaluation applied for real IEEE 802.11w data base
Relation Prediction for Answering Natural Language Questions over knowledge Graphs
Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention
Connectivity strategies for higher-order neural networks applied to pattern recognition
Learning to select relevant perspective in a dynamic environment
Masked EEG Modeling for Driving Intention Prediction
Learning in a quantizable neural network
Extracting Lungs from CT Images Using Fully Convolutional Networks
Daily peak temperature forecasting with Elman neural networks
Dynamic Relation-Aware Multiple Instance Learning for Few-Shot Learning
Alignment and Multi-Scale Fusion for Visual-Tactile Object Recognition
Combining Artificial Neural Network and Particle Swarm System for time series forecasting
Pattern recognition with spiking neurons: performance enhancement based on a statistical analysis
A binary Self-Organizing Map and its FPGA implementation
Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study
Real-Time Implementation of an Optimal Transient Neurocontroller for a GCSC
Online Learning for Hierarchical Networks of Locally Arranged Models using a Support Vector Domain Model
Toward Next Generation of Autonomous Systems with AI
Delta learning law for a single neuron
Semantic description of multimedia contents for the optimization of the advertising impact on TV program grids
Reproducing kernel Banach spaces for machine learning
Alzheimer's Disease Clinical Scores Prediction based on the Label Distribution Learning using Brain Structural MRI
Time-domain Fading Channel Prediction Based on Spin-wave Reservoir Computing
Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications
Neural PID adaptive generator excitation control for two-machine system
Estimating complex networks centrality via neural networks and machine learning
LSTM-based Flight Trajectory Prediction
Visual deficiency: cognitive performance and adaptive image processing
Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset
Towards Explaining Hypercomplex Neural Networks
Information criteria for reduced rank canonical correlation analysis
@ME: A Fine-grained Route Recommendation System to Grab Impatient Passengers
Semantic and episodic memories in a predictive coding model of the neocortex
FNN approximation-based adaptive control for suppressing chatter in nonlinear milling with piezo-actuators
The neoteric feature extraction method of epilepsy EEG based on the vertex strength distribution of weighted complex network
Efficient and Fast Generative-Based Singing Voice Separation using a Latent Diffusion Model
A connectionist-based model for predicting the linguistic origin of surnames
Classifying cognitive states from fMRI data using neural networks
Inferring cascading network-power disruptions and sustainability
An Adaptable Boolean Neural Network Performing Specific Sequence Learning
Augmenting the NEAT algorithm to improve its temporal processing capabilities
Hardware implementation of a neural network pattern shaper algorithm
A Trend-aware Investment Target Recommendation System with Heterogeneous Graph
Clustering action data based on amount of exercise for use-model based health care support
Period detection in light curves from astronomical objects using correntropy
Resistant learning on the envelope bulk for identifying anomalous patterns
Creating adaptive learning paths using Ant Colony Optimization and Bayesian Networks
Building the knowledge base of a buyer agent using reinforcement learning techniques
Neurodynamic Sensory-Motor Phase Binding for Multi-Legged Walking Robots
A constraint neural network for Huffman-Clowes scene labeling
FOCA: Foundation-model-based One-Class Anomaly Detection for Time Series
Self-adaptive kernel machine: online clustering in RKHS
Myocardial Infarction Detection and Quantification Based on a Convolution Neural Network with Online Error Correction Capabilities
PORTIA: A Multi-Granularity APT Detection Model Based on Provenance Graphs
Neural classification approach for short term forecast of exchange rate movement with Point and Figure charts
DCT-based Fast Spectral Convolution for Deep Convolutional Neural Networks
Parameterized online quasi-Newton training for high-nonlinearity function approximation using multilayer neural networks
Federated Unlearning with Oriented Saliency Compression
Comparative Analysis of Foundation Models for EEG-Based Alzheimer's Disease Detection
The Horcrux Protocol: A Method for Decentralized Biometric-based Self-sovereign Identity
On text-based estimation of document relevance
Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis
Measuring the complexity of regression problems
Temporal Encoding for Sequential Recommendation
ES-YOLO: Edge-Enhanced Infrared Small Target Detection for Low-Altitude UAV Remote Sensing
Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training
When Explainability Meets Vision AI: Analyzing CNNs, Transformers, and State-Space Models in Healthcare
Semi-wildlife gait patterns classification using statistical methods and Artificial Neural Networks
Unsupervised Multi-net Simulation: An Application to Child Development
A hybrid neuro-evolutive algorithm for neural network optimization
Real Time Credit Card Fraud Detection using Computational Intelligence
Effect of noise on the performance of the temporally-sequenced intelligent block-matching and motion-segmentation algorithm
A Lightweight AI-Based Solution for Rain Detection and Vehicle Wiper Control Using Autonomous Driving Cameras
Implementation of a large scale hardware neural network system based on stochastic logic
Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks
Retina encoder tuning and data encryption for learning retina implants
Adversarial Perturbations Fool Deepfake Detectors
One-Shot Unsupervised Domain Adaptation for Object Detection
A Neural Network-based Learning Controller for Micro-sized Object Micromanipulation
Significance measure of Local Cluster Neural Networks
Online model-free sensor fault identification and dictionary learning in Cyber-Physical Systems
Using Segmentation to Control the Retrieval of Data
Memristor Based Circuit Design for Liquid State Machine Verified with Temporal Classification
A new fast learning algorithm with promising global convergence capability for feed-forward neural networks
MCRO-YOLO: An evolved Version of YOLO for Small Object Detection
Generating Multi-label Adversarial Examples by Linear Programming
Recursive Training for Zero-Shot Semantic Segmentation
Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling
Embracing the dropouts in single-cell RNA-seq dynamics modelling
Evidence-based mixture of MLP-experts
A Semantic and Structural Transformer for Code Summarization Generation
From Uniform Models To Generic Representations: Stock Return Prediction With Pre-training
Adaptive Gradient Algorithm with Momentum based on Spatiotemporal Second-order Dynamical Model
Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs
A Neural System for Faithful Color Reproduction in Industrial Printing Processes
Text clustering using enhanced PLSA with word correlation
Graph Pruning and Representation Learning for Stance Detection
Improving wet clutch engagement with reinforcement learning
Optimizing Recommendations for Clustering Algorithms Using Meta-Learning
Connectionist based Dempster-Shafer evidential reasoning for data fusion
EEG-based brain dynamics of driving distraction
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
An experimental study based on Fuzzy Systems and Artificial Neural Networks to estimate the importance of reviews about product and services
Real-time remote manipulation and monitoring architecture of an industry robot
Reconstructable generalized maximum scatter difference discriminant analysis
Real-time discrete neural identifier for a linear induction motor using a dSPACE DS1104 board
Synchronization in distributed neural systems
Tag-aware Attentional Graph Neural Networks for Personalized Tag Recommendation
Impulse Noise Filtering using MLMVN
A Multimodal Deep Learning Network for Group Activity Recognition
Multiple-Instance Learning through Optimum-Path Forest
Long Distance Telerobotics in Hostile Environment
Repeated play of the SVM game as a means of adaptive classification
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems
Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue Summarization
A soft image edge detection approach based on the time matrix of a PCNN
A self-driving robot using deep convolutional neural networks on neuromorphic hardware
Neural networks controlling wrist movements
Generalization Across Subjects and Sessions for EEG-based Emotion Recognition Using Multi-source Attention-based Dynamic Residual Transfer
Introduction to self-attachment and its neural basis
Topic model with constrainted word burstiness intensities
Camera-Based Gesture Recognition for Robot Control
An application of spatial prediction using a fuzzy-neural network
Video summarization and browsing using growing cell structures
A Novel Secure Federated Learning Framework for Decentralized Data Processing in IoT Edge Cloud Networks
Dynamic Network Embedding by Semantic Evolution
A disturbance rejection based neural network algorithm for control of air pollution emissions
Graph Representation for Weakly-Supervised Spatio-Temporal Action Detection
RBA-CenterNet: Feature Enhancement by Rotated Border Alignment for Oriented Object Detection
Automotive Engine Torque and Air-Fuel Ratio Control Using Dual Heuristic Dynamic Programming
MMTS: Multi-Modal Time Series Based Decision Support System for Ventilator Associated Pneumonia
Efficient algorithms for linear summed error structural SVMs
Analysis and Design of Memristor Crossbar Based Neuromorphic Intrusion Detection Hardware
Validation of model simulations with respect to in situ observations by the use of probabilistic estimations
The molecules module of the brain architecture management system
Word Order is Considerable: Contextual Position-aware Graph Neural Network for Text Classification
Distributed parameter bioprocess plant identification and I-term control using centralized recurrent neural network models
Towards the discrimination of primary and secondary headache: An intelligent systems approach
Meta-Learning for User Cold-Start Recommendation
Light-Weight Branch-Shared Multi-View Convolutional Neural Networks Crowd Counting
Human shape recognition using the method of moments and artificial neural networks
Modeling orbitofrontal involvement in decision making on a gambling task
Classification of startle eyeblink metrics using neural networks
CASTNet: Cycle-Consistent Attention-based Network for Decoding Open/Close Hand Movement Attempts using EEG
Hierarchical Attention Transformer Networks for Long Document Classification
MPFormer: Dynamic Traffic Spatial-Temporal Features Forecasting With Multi-Perspective Attentions
Approaching the post nonlinearity of blind mixtures by hybrid neural network
The pitfalls of doing the right thing for the wrong reason
Attention-based LSTM for Motion Switching Detection of Particles in Living Cells
Fuzzy ARTMAP with relevance factor
Neural network classification of EEG signals using time-frequency representation
Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning
An orientation-selective multi-chip aVLSI applicable to texture analysis
κ-Entropy Based Restricted Boltzmann Machines
A Discretization-based Ensemble Learning Method for Classification in High-Speed Data Streams
Ensembles of evolutionary Extreme Learning Machines through differential evolution and Fitness Sharing
Acoustic model combination for recognition of speech in multiple languages using support vector machines
Identifying Optimism and Pessimism in Twitter Messages Using XLNet and Deep Consensus
Reliable object recognition by using cooperative neural agents
Deep Reinforcement Learning-Based Multi-Agent Algorithm for Vehicle Routing Problem in Complex Logistics Scenarios
Initialization of cluster refinement algorithms: a review and comparative study
Water quantity prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks
The growing Self-organizing surface Map
A Leaky-Integrator Neural Network for Controlling the Locomotion of a Simulated Salamander
A general architecture for classical conditioning of perceptual-motor sequences
Computationally efficient FLANN-based intelligent stock price prediction system
Unsupervised Wafermap Patterns Clustering via Variational Autoencoders
Adaptive Sparse Learning Based on Flexible Graph Embedding for Parkinson's Disease Diagnosis
Wind Power Forecast Based on Transformers and Clustering of Wind Farms with Temporal and Spatial Interdependence
Learning valid categorical syllogisms using an associative memory
Unsupervised Learning of Neural Network Ensembles for Image Classification
Incorporating Least-Effort Loss to Stabilize Training of Wasserstein GAN
SmellDetector: Multi-Label Code Smell Detection and Refactoring with Large Language Models
Learning Unified Video-Language Representations via Joint Modeling and Contrastive Learning for Natural Language Video Localization
Handling Class Imbalance by Estimating Minority Class Statistics
PCA and ICA neural implementations for source separation - a comparative study
Phase Space Reconstruction Network for Lane Intrusion Action Recognition