yusuke1997/dblp-id-title huggingface dataset:
Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls
LITNet: A Light-weight Image Transform Net for Image Style Transfer
A Three-Dimensional Physiologically Realistic Model of the Retina
Evolution strategies on connection weights into modified gradient function for multi-layer neural networks
Low-level image processing and edge enhancement using a self-organizing neural network
GMCL: Graph Mask Contrastive Learning for Self-Supervised Graph Representation Learning
Dam seepage analysis based on artificial neural networks: The hysteresis phenomenon
Intrusion detection using radial basis function network on sequences of system calls
Adaptive Federated Learning in Presence of Concept Drift
CuriousRL: Curiosity-Driven Reinforcement Learning for Adaptive Locomotion in Quadruped Robots
Phoneme Recognition with Staged Neural Networks
State space construction of reinforcement learning agents based upon anticipated sensory changes
A Simple Overlapping Relation Extraction Method Based on Dropout
A mathematical analysis of adaptive synapses
Using noise to speed up video classification with recurrent backpropagation
Filter Bank Common Spatial Pattern (FBCSP) algorithm using online adaptive and semi-supervised learning
An analysis of the flows of neural networks with linear interconnections
Calibration Time Reduction for Motor Imagery-Based BCI Using Batch Mode Active Learning
HDTPose: A Hierarchical Decoding Transformer for End-to-End Single-Stage Multi-Person Pose Estimation
Silicon primary visual cortex designed with a mixed analog-digital architecture
Tree-Structured Neural Networks: Efficient Evaluation of Higher-Order Derivatives and Integrals
Odor Recognition with Synchronization using Integrate and Fire Neurons
Coresets Application in Channel Pruning for Fast Neural Network Slimming
Deep convolutional neural networks as generic feature extractors
Learned Measurement Interpolation for Scalable Compressive Sensing
Feature Stylization Adversarial Domain Generalization
SpeechGuard: Online Defense against Backdoor Attacks on Speech Recognition Models
Learning decision fusion in cooperative modular neural networks
Advances in multi-view matrix factorizations
An effective approach to nonlinear Hammerstein model identification using evolutionary neural network
Neural Network Modeling of Species Evolution: Loss and Gain in Complete Genome
A Two-Stage Neural Network Model for Automatic Detection of Skiffs from Satellite Imagery
Beating the S&P 500 index - A successful neural network approach
Complex-value Automatic Modulation Recognition via a Dual-channel Transformer
Redefined Fuzzy Min-Max Neural Network
A Review of Micro-expression Recognition based on Deep Learning
Time-frequency blind signal separation: extended methods, performance evaluation for speech sources
Iris liveness detection methods in the mobile biometrics scenario
Towards A Deep Learning Question-Answering Specialized Chatbot for Objective Structured Clinical Examinations
Distributed and Correlation Group-based Sure Independence Screening and Sparsifying Operator
How systematic is the environmental sustainability index 2002 as a tool for grouping countries in terms of their environmental sustainability?
Chaos in neural networks with bistable dendrite membrane current-voltage relation
CFDA: Collaborative Filtering with Dual Autoencoder for Recommender System
Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning
Neural finite-state transducers: a bottom-up approach to natural language processing
Accelerating the Multilayer Perceptron Learning with the Davidon Fletcher Powell Algorithm
cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions
Collective contextual anomaly detection framework for smart buildings
Incremental Tucker Decomposition for Scalable and Efficient Multilingual Speech Recognition
Biologically inspired reinforcement learning for mobile robot collision avoidance
A Constraint Learning Algorithm for Blind Source Separation
Estimation of propagation delays using orientation histograms for anechoic blind source separation
Restricted Boltzmann machine associative memory
Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces
Multiscale saliency detection using principle component analysis
Distilling Essence of a Question: A Hierarchical Architecture for Question Quality in Community Question Answering Sites
Transient phenomena prediction using recurrent neural networks
Gradient Boosting Decision Trees for Echocardiogram Images
Partitioning methods used in DBS treatments analysis results
Multimodal Data Augmentation for Dynamic Fusion
Adaptive linear learning for on-line harmonic identification: An overview with study cases
Extended Kalman filter under maximum correntropy criterion
A novel approach for generating fast multi-class SVM topologies with nested dichotomies
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer
A Spiking Neural Network with a Global Self-Controller for Unsupervised Learning Based on Spike-Timing-Dependent Plasticity Using Flash Memory Synaptic Devices
An urban traffic speed fusion method based on principle component analysis and neural network
A divide-and-conquer strategie for FPGA implementations of large MLP-based classifiers
IAFI-FCOS: Intra- and across-layer feature interaction FCOS model for lesion detection of CT images
Contrastive Learning with Knowledge-Enhanced Prompts for Insider Threat Detection
Utilizing Hubel Wiesel models for semantic associations and topics extraction from unstructured text
DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection
VAD-Net: Multidimensional Emotion Recognition from Facial Expression Images
Encoding auditory-visual interactions in a neural model of sensory abnormalities in autism
Multi-level neural networks
Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker
DCFL: Non-IID Awareness Dataset Condensation Aided Federated Learning
A comparison of training algorithms for DHP adaptive critic neurocontrol
Vowel Sound Imagery Decoding by a Capsule Network for the Design of an Automatic Mind-Driven Type-Writer
A non-sigmoidal activation function for feedforward artificial neural networks
IR-DED:An Adaptive Retrieval-Augmented Generation Framework Supporting Iterative Reasoning and Instruction Denoising
Data-efficient Online Classification with Siamese Networks and Active Learning
A fuzzy technique to control congestion in WSN
An improved RBM based on Bayesian Regularization
Person Identification based on Smartphones Inertial Sensors
An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data
Multioutput feedforward neural network selection: a Bayesian approach
Unsupervised Learning of Disentangled Location Embeddings
Decentralized Federated Learning Links for Biometric Recognition
GNNAE-AVSS: Graph Neural Network Based Autoencoders for Audio-Visual Speech Synthesis
Time2Text-PM: Reprogramming Pre-trained Models for Few-Shot Intention Recognition
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation
Single-trial EEG data to classify type and intensity of facial emotion from P100 and N170
Contextual multi-armed bandits for web server defense
Self Regulated Learning Mechanism for Data Efficient Knowledge Distillation
FCH-TTS: Fast, Controllable and High-quality Non-Autoregressive Text-to-Speech Synthesis
DMSnet: Dual multi-scale background stripping nested network for single-frame infrared small target detection
A Temporal Attention-based Model for Social Event Prediction
Fast ship detection of synthetic aperture radar images via multi-view features and clustering
Towards Frame Rate Insensitive Video Object Segmentation
Multi-Channel Learning Framework Based on Relation-Aware Transformer For Drug Synergy Prediction
Learning traversability map of different robotic platforms for unstructured terrains path planning
Information theoretic learning applied to wind power modeling
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations
MiaHHGNN: A Drug-Target-Disease Prediction Model Based on Heterogeneous Hypergraphs and Natural Similarities
Interpretable Charge Prediction for Legal Cases based on Interdependent Legal Information
Artificial cognitive BP-CT ant routing algorithm
Building a Packages Delivery Schedule Using Extended Simulated Annealing
Semantic Driven Energy based Out-of-Distribution Detection
Estimation of the Source-Filter Model Using Temporal Dynamics
LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks
A study of the effect of noise injection on the training of artificial neural networks
An efficient semi-supervised SVM for anomaly detection
Circuit implementation of SVM training
Backdoor Attack on Deep Neural Networks in Perception Domain
Handwritten Signature Authentication using Artificial Neural Networks
Extension neural network
A Neuro-Fuzzy System for Automatic Assessment of Myocardial Viability in Positron Emission Tomography
Financial Time Series Data Prediction by Combination Model Adaboost-KNN-LSTM
Time series analysis of inertial-body signals for the extraction of dynamic properties from human gait
More Realistic and Efficient Face-Based Mobile Authentication using CNNs
Connection Sparsification and Orbit Stabilization of Dynamic Binary Neural Networks based on Multiobjective Evolutionary Algorithms
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
DiCLIP: Integrating DINOv2 and CLIP for Zero-Shot and Few-Shot Anomaly Detection with Versatile Combination Prompts
Tweet Act Classification : A Deep Learning based Classifier for Recognizing Speech Acts in Twitter
Region of Interest Based Image Classification using time series analysis
Philosophical Aspects of Neural, Probabilistic and Fuzzy Modeling of Language Use and Translation
On the state transition graph of Hopfield net model
Stress Detection from Social Media Articles: New Dataset Benchmark and Analytical Study
Causality-aided Recommendation Systems
Unsupervised learning via iteratively constructed clustering ensemble
Ideal neighbourhood mask for speech enhancement using deep neural networks
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training
Diagnosis of a Cutting Tool in a Machining Center
A new Support Vector classification algorithm with parametric-margin model
GAC-DETR: A Transformer-Based Model for Small Target Detection in UAV Imagery
A Method for Voltage Sag Source Location Using Clustering Algorithm and Decision Rule Labeling
Neural-based model predictive control for tackling steering delays of autonomous cars
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations
An LLM-powered Natural-to-Robotic Language Translation Framework with Correctness Guarantees
A novel chaotic spiking neuron and its paralleled spike encoding function
Hybrid Solution for the Feature Selection in Personal Identification Problems through Keystroke Dynamics
TSception: A Deep Learning Framework for Emotion Detection Using EEG
Data dimensionality reduction approach to improve feature selection performance using sparsified SVD
A Language Model Based Pseudo-Sample Deliberation for Semi-supervised Speech Recognition
A Knowledge Graph Recommendation Model via High-order Feature Interaction and Intent Decomposition
Task learning for a real robot by using virtual space
Real-time Accurate Object Counting for Smart Farms
Fast pattern matching with time-delay neural networks
Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles
Hierarchical Linear Dynamical Systems: A new model for clustering of time series
Analysis and prediction of cranberry growth with dynamical neural network models
Detecting Cancerous Tissue in Mammograms Using Deep Neural Networks
Pattern recognition and learning in bistable CAM networks
Less is Better: Exploiting Label Bias to Enhance Instruction Tuning-based Backdoor Attack on Large Language Models
A fuzzy neural network for data mining: dealing with the problem of small disjuncts
Knife-edge scanning microscopy for connectomics research
Detection of actuator faults using a dynamic neural network for the attitude control subsystem of a satellite
Text Classification via Learning Semantic Dependency and Association
Response Generation with Personal Attributes and Act Information
Segmentation-Free Approaches For Handwritten Numeral String Recognition
Connectionist Computation
A Q-Learning approach to developing an automated neural computer player for the board game of CLUE ®
An Outpost Vector placement evaluation of an incremental learning algorithm for Support Vector Machine
Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation
Multi-label semi-supervised learning using regularized kernel spectral clustering
MARL-HE: An Improved Multi-agent Reinforcement Learning-based Pathfinding Method for Fire Evacuation Guidance
Master-Slave Policy Collaboration for Actor-Critic Methods
Robust Cross-Modal Retrieval by Adversarial Training
Hybrid Data Augmentation for Citation Function Classification
Heteroclinic Orbits and Chaos in A Ring of Three Unidirectionally Coupled Nonmonotonic Neurons
Pattern classification by assembling small neural networks
A comparative analysis of wavelets for vascular similarity measurement
Classification of marine organisms in underwater images using CQ-HMAX biologically inspired color approach
Crafting Textual Adversarial Examples through Second-Order Enhanced Word Saliency
StyleCSR: Style-controllable Sequential Recommendation with Prompt Tuning
SFMNet: Self-guided Feature Mining Network for Vehicle Re-identification
Runtime detection of activated polychronous neuronal group towards its spatiotemporal analysis
Application of Deep Belief Networks for opcode based malware detection
A distributed architecture for sensor fault detection and isolation using adaptive approximation
Hierarchical Semantic Enhancement and Efficient Bi-temporal Interaction for Remote Sensing Change Detection
Tristability in Model Neurons
On-line handwritten Chinese character recognition based on inter-radical stochastic context-free grammar
SiamON: Siamese Tracking by Online Update Module and Non-local Pyramid Module
Nonlinear oscillation models for the spike sorting of single units recorded extracellularly
A neural networks-based fitting to high energy stopping power data for heavy ions in solid matter
Computational Intelligence Techniques Applied to a Preliminary Exploration of Climatic Traits using Meteosat Water Vapor Images
The Trade-off between Efficiency, Sustainability and Explainability: a Comparative Study on the Quality Control of Laboratory Consumables
Classifying Code Commits with Convolutional Neural Networks
PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals
Robust Graph Convolutional Clustering With Adaptive Graph Learning
User-generated-video summarization using Sparse Modelling
Competitive Feature Extraction for Activity Recognition based on Wavelet Transforms and Adaptive Pooling
Neural networks with asymmetric activation function for function approximation
Orientation Map: A Reaction-Diffusion Based Model
Kidney segmentation from computed tomography images using U-Net and batch-based synthesis
Knowledge extraction in geochemical data by using self-organizing maps
Fixed-weight networks can learn
Using a hybrid of fuzzy theory and neural network filter for image dehazing applications
Complex valued recurrent neural networks for noncircular complex signals
Crowd Counting based on Density Map Dynamic Refinement
The classification of periodic light curves from non-survey optimized observational data through automated extraction of phase-based visual features
Link prediction by exploiting network formation games in exchangeable graphs
Classification by means of Evolutionary Product-Unit Neural Networks
Computer aided diagnosis of CT focal liver lesions by an ensemble of neural network and statistical classifiers
Learning convolutional neural networks from few samples
A comparison of action selection methods for implicit policy method reinforcement learning in continuous action-space
Knowledge Graph Self-Supervised Learning for Recommendation
Hierarchical Differential Amplifier Contrastive Learning for Semi-supervised Extractive Summarization
DCEN: A Decoupled Context Enhanced Network For Few-shot Slot Tagging
Integrated information for large complex networks
Neural equalizer trained by the artificial immune system learning algorithm
Evolutionary Multi-Task Feature Selection Algorithm Enhanced by Heterogeneous Auxiliary Tasks
Neural Computations by Networks of Oscillators
Modelling of temperature in the aluminium smelting process using Neural Networks
Online Shortest Paths With Confidence Intervals for Routing in a Time Varying Random Network
Typicality effect on N400 ERP in categories despite differences in semantic processing
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Task-specific Prompt and Multi-level Linguistic Feature Enhancement for Aspect Sentiment Triple Extraction
Kernel group sparse representation based classifier for multimodal biometrics
Bio-Inspired System for Electricity Price Forecast in the Brazilian Market
From Ethical Artificial Intelligence Principles to Practice: A Case Study of University-Industry Collaboration
Volterra series and neural networks to model an electronic device nonlinear behavior
Eye See What You See: Query-Oriented Gaze Following
Position Paper: A new Perspective on Online Continual Learning
DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection
ASP-CLIP: Adaptive and Static Prompts Learning for Zero-shot Anomaly Detection
A federated network online network traffics analysis engine for cybersecurity
Spatially Adaptive Kernels for Adaptive Spatial Filtering of fMRI Data
An Efficient Spike-Based Communication Protocol for Neurally Inspired Feature Maps
Application of surrogate models for the optimization and design of chemical processes
ELFSurf: Explicit Latent Fusion for Implicit Surface Reconstruction
Image Caption Method from Coarse to Fine Based On Dual Encoder-Decoder Framework
A Robust UCB scheme for active learning in regression from strategic crowds
Bayesian Field Theory: Nonparametric Approaches to Density Estimation
Clustering online game communities through SOM
Decision making with long delays using networks of flip-flop neurons
Forecasting Cyanobacteria with Bayesian and Deterministic Artificial Neural Networks
Emotional quality level recognition based on HRV
Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective
Active learning in the real-world design and analysis of the Nomao challenge
Multi-Attention-based Global 3D ResNet for Alzheimer's Disease Diagnosis
Tentacled Self-Organizing Map for Effective Data Extraction
A Multimodal Contrastive Network with Unbiased Distillation for Knowledge-based VQA
Dynamic Scheduling of Airport Flights with Graph Neural Networks
Virtual Metrology Technique for Semiconductor Manufacturing
Genetic specification of recurrent neural networks: Initial thoughts
Developing early senses about the world: "Object Permanence" and visuoauditory real-time learning
Critical Values of a Kernel Density-based Mutual Information Estimator
Local Sensitivity Analysis of Highly Robust Regression Estimators
A Framework of Transferring Structures Across Large-scale Information Networks
Continuous time recurrent neural network designed for KWTA operation
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines
A Multichannel Canonical Correlation Analysis Feature Extraction with Application to Buried Underwater Target Classification
Fake News Detection Based on Cross-Semantic Multimodal Data Fusion
Brain-like intelligence inside - Towards autonomously interacting systems
Kernel Partial Least Squares for the Identification of Mixture Content from TeraHertz Spectra
Reference-oriented Loss for Person Re-identification
Pruning Depthwise Separable Convolutions for MobileNet Compression
Infrared face recognition: A literature review
Securing ROS Network Traffic Data Against Node Isolation Attacks Using a Deep Learning CNN: An Empirical Study on an Unmanned Ground Vehicle
Analysis of nonseparable property of multi-valued multi-threshold neuron
Comparison of L1 and L2 support vector machines
LVQ of image sequence source and ANS classification of finite state machine for high compression coding
Clinical Diagnosis Using Proteomics and Complementary Learning
A hierarchical coevolutionary method to support brain-lesion modelling
Revamped Knowledge Distillation for Sound Classification
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward
Pre-training Molecular Graph Representations with Motif-Enhanced Message Passing
Deep Reinforcement Learning with Parametric Episodic Memory
Rapid acoustic transmission loss prediction using an operationally adaptive system
Improving Empirical Models with Machine Learning
Improved Communication and Collision-Avoidance in Dynamic Multi-Agent Path Finding
PromptHR: A Humor Recognition Network Integrating Deep Commonsense Prompt Learning and Semantic Incongruity
Generative Spoken Language Modeling with Quantized Feature Enhancement
New CNN based algorithms for the full penetration hole extraction in laser welding processes: Experimental results
YOLO-DS: Application of One-Stage Instance Segmentation in the Dark at Construction Sites
Community-driven Smart EV charging With Multi-Agent Deep Reinforcement Learning
Feedforward Neural Network Based on Nonmonotone Conjugate Gradient Method for Multiple Classification
Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification
Efficient ultrasonic data processing for crack detection in concrete structures
What You See Is What You Transform: Foveated Spatial Transformers as a bio-inspired attention mechanism
Aspect-Oriented Semantic Enhancement Network For Aspect-Level Multimodal Sentiment Analysis
Extended maximum a posteriori-based kernel classification trained by linear programming (MAPLP) with adjustment parameter (MAPLP-P) and difference-type objective function (MAPLP-D)
Frame-Skeleton: A Dual-Stream Network for Action Events Sequence Spotting
Biologically Inspired Neural Controllers for Motor Control in a Quadruped Robot
Structural adaptation in young neocortical networks modeled by spatially coupled oscillators
Disentanglement based Active Learning
Exploring Chinese Humor Generation: A Study on Two-part Allegorical Sayings
Evolutionary Weight Optimization for Variational Quantum Classifiers
Revitalizing Nash Equilibrium in GANs for Human Face Image Generation
Evaluating Robustness of Voice Conversion Systems under Multi-source Channel Interference
Modular Federated Learning
Generating smooth context-dependent neural representations
Statistical neurodynamics of the oscillatory circuit underlying central pattern generation
Intelligent Tracking Controller Design Using Dynamic Fuzzy Neural Networks
Time-CoT for Enhancing Time Reasoning Factual Question Answering in Large Language Models
Unsupervised Learning of Depth and Pose Estimation based on Continuous Frame Window
Role of Chaotic Neural Networks in EVSF-Network
A hybrid grey-fuzzy-neural networks model for enterprises' bankruptcy
GA-SVM wrapper approach for feature subset selection in keystroke dynamics identity verification
Comparative performance of neural networks and maximum likelihood for supervised classification of agricultural crops: single date and temporal analysis
Real-time control of variable air volume system using a SPSA based neural controller
RecVAE-GBRT: Memory-Fused XGBoost for Time-Series Forecasting
Multiresolution stereo by simulated annealing
Accurate object tracking by combining correlation filters and keypoints