yusuke1997/dblp-id-title huggingface dataset:
Self-organizing reservior computing with dynamically regulated cortical neural networks
Artificial Neural Network of Liquefaction Evaluation for Soils with High Fines Content
Neural network architecture selection analysis with application to cryptography location
Robust EEG channel selection across sessions in brain-computer interface involving stroke patients
A novel self-organizing neural network for defect image classification
Pattern recognition computation in a spiking neural network with temporal encoding and learning
Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical Imaging
MPM-GS: Optimizing Sparse-View 3D Scene Reconstruction with Virtual View Rendering and Multimodal Regularization
A new learning algorithm without explicit error backpropagation
Priority-based Soft Vector Quantization Feature Maps
Using temporal binding for connectionist recruitment learning over delayed lines
Progressively Robust Loss for Deep Learning with Noisy Labels
Deep learning with random neural networks
Convolutional Neural Networks with analytically determined Filters
Over-fitting behavior of Gaussian unit under Gaussian noise
Learning Node Representations Under Partial Label Learning
PerformancePrediction Challenge
Delayed MDPs with Feature Mapping
Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification
Partially affine invariant back propagation
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons
Outlier Detection Based on the Data Structure
Neural interpolator for image recognition in the process of microdevice assembly
Autonomous learning of collaboration among robots
Determination of the optimal batch size in incremental approaches: an application to tornado detection
FEW: Multi-modal Recommendation for Cold-Start
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation
Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation
Semi-Supervised Learning For Imbalanced Classification Of Credit Card Transaction
Masked strategies for images with small objects
Heuristic dynamic programming for mobile robot path planning based on Dyna approach
Two-way Cross-domain Recommendation with Central Social Influence
MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer
Cognitive clustering algorithm for efficient cybersecurity applications
A dissimilarity-based classifier for generalized sequences by a granular computing approach
GPGPU acceleration of Cellular Simultaneous Recurrent Networks adapted for maze traversals
High-conductance states on a neuromorphic hardware system
Hebbian learning and competition in the neural abstraction pyramid
Improved multiuser detectors employing genetic algorithms in a space-time block coding system
Proposal of polarization state prediction using quaternion neural networks for fading channel prediction in mobile communications
A New Supervised Clustering Algorithm Based on Min-Max Modular Network with Gaussian-Zero-Crossing Functions
Multi-digit image synthesis using recurrent conditional variational autoencoder
Character Recognition using Spiking Neural Networks
Generalized Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks
Neural network based detection of fetal heart rate patterns
Learning Single-view Object Reconstruction with Scaling Volume-View Supervision
Online ensemble deep random vector functional link for the assistive robots
A continually online trained neurocontroller for the series branch control of the UPFC
Privacy-Preserving PCA Based Face Recognition Scheme with Sparse Matrix Encryption
Predictive learning with sparse heterogeneous data
Frequency selection with oscillatory neurons for engine misfire detection
On the Performance of Differential Evolution for Hyperparameter Tuning
Sparse alignment for video analysis in discriminant Tensor space
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
Neural-network based regression model with prior from ranking information
EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution
A Study on Road Damage Detection Methods Based on YOLOv11
Synthetic Lung Nodule 3D Image Generation Using Autoencoders
Laser Cutting Parameters Optimization Based on Artificial Neural Network
Multi-Attribute Dynamic Learning for 3D Face Reconstruction and Dense Alignment in the Unconstrained Environment
A study of parallel neural networks
Syllable-Based Acoustic Modeling with CTC for Multi-Scenarios Mandarin speech recognition
Mastering the Game of Amazons Fast by Decoupling Network Learning
Using adaptive resonance theory and local optimization to divide and conquer large scale traveling salesman problems
A Comparative Study of Object Tracking using CNN and SDAE
Fast Switch Naïve Bayes to Avoid Redundant Update for Concept Drift Learning
Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer's Disease
Attractor-based complexity of a Boolean model of the basal ganglia-thalamocortical network
Heterogeneous extreme learning machines
Are ARIMA neural network hybrids better than single models?
Cyberthreat Detection from Twitter using Deep Neural Networks
Distance-based Disagreement Classifiers Combination
Learning to Binarize Convolutional Neural Networks with Adaptive Neural Encoder
Stochastic hardware implementation of Liquid State Machines
Neuro Fuzzy Architecture for Gray Scale Image Watermarking using Fractal Dimensions
Forecasting hourly electricity load profile using neural networks
Adaptive neuro-fuzzy control of dynamical systems
Implicit Regularization in Deep Tensor Factorization
Effects of Connectivity on Narrative Temporal Processing in Structured Reservoir Computing
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
Stock Movement Prediction on Ex-Dividend Day Using Event Specific Features and Machine Learning Techniques
Light mobile robot's weight design and research
Faces are Domains: Domain Incremental Learning for Expression Recognition
RPR-BP: A Deep Reinforcement Learning Method for Automatic Hyperparameter Optimization
Neural network identification for biomass gasification kinetic model
Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis
Shaping the Ultra-Selectivity of a Looming Detection Neural Network from Non-linear Correlation of Radial Motion
Make it cheap: Learning with O(nd) complexity
A Modified RBF Neural Network in Pattern Recognition
Self-Supervision and Weak Supervision for Accurate and Interpretable Chest X-Ray Classification Models
Principal component analysis for poultry tumor inspection using hyperspectral fluorescence imaging
New top-down methods using SVMs for Hierarchical Multilabel Classification problems
Modified neocognitron with position normalizing preprocessor for translation invariant shape recognition
Towards personalized and context-aware reminder service for people with dementia
GMM-based Undersampling and Its Application for Credit Card Fraud Detection
Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm
Machine Learning Based Seismic Region Classification
Efficient online learning with Spiral Recurrent Neural Networks
Chaotic model with data assimilation using NARX network
Cognitive Analysis for Reading and Writing of Bengali Conjuncts
Enhance Large Language Models for Multilingual Sentence Embedding with Knowledge Graph
Sliding mode online learning for flight control applications in unmanned aerial systems
Classification of Android apps and malware using deep neural networks
Are Task-Specific Datasets the Be-All and End-All for LLM Performance?
Kernelized Convex Hull Approximation and its Applications in Data Description Tasks
ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models
Handwritten Chinese character identification with Bagged One-Class support vector machines
What Happens in the Surroundings: A Benchmark for 360° image Captioning
Local Signal based Supplementary Excitation Controller for Damping Inter-area Oscillations through Recurrent Neural Networks
Identity Semantic Correspondence for Cloth-Changing Person Re-Identification
INSIDE: a neuronet based hardware fault diagnostic system
Unsupervised learning of event-based image recordings using spike-timing-dependent plasticity
Determining cellularity status of tumors based on histopathology using hybrid image segmentation
Optimization of MLP Neural Networks in 8-bit Microcontrollers using Program Memory
An Attention Selection Model with Visual Memory and Online Learning
3D CBAM-EResNet: An Enhanced ResNet Network with 3D Channel and Spatial Attention for Stroke Imaging Lesion Recognition
A Multi-Attentive Pyramidal Model for Visual Sentiment Analysis
Using Support Vector Machines and two dimensional discrete cosine transform in speech automatic recognition
PCD2Vec: A Poisson Correction Distance Based Approach for Viral Host Classification
Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals
One-Against-All-based multiclass SVM strategies applied to vehicle plate character recognition
Calibration of traffic dynamics models with data mining
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation
Variance-based Feature Selection for Classification of Cancer Subtypes Using Gene Expression Data
An Evolutionary Robotics 3D model for autonomous MAVs navigation, target tracking and group coordination
Performance analysis of neural network topologies and hyperparameters for deep clustering
Neural behaviors and nonlinear dynamics of a rotate-and-fire digital spiking neuron
On improving the efficiency of complex-valued ELM
Asymmetric mixture model with variational Bayesian learning
Generating Authorship Embeddings with Transformers
Cellular computational extreme learning machine network based frequency predictions in a power system
Agent teams and evolutionary computation: Optimizing semi-parametric spatial autoregressive models
Measuring Robustness of Deep Neural Networks from the Lens of Statistical Model Checking
Switching and leakage power modeling for multiple-supply dynamic gate with delay constraining based on wavelet neural networks
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication
Training support vector machines: a quantum-computing perspective
An implementation of on-line traffic information system via short message service (SMS) for Bangladesh
Aggregation of Pi-based forecast to enhance prediction accuracy
A Geometric Constraints based Bayesian Neural Network for Virtual Surgery Assessment
DensityRank: A novel feature ranking method based on kernel estimation
Aspect-Based Sentiment Classification with Background Information and Syntactic Auxiliary Tasks
Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization
Uncertainty-Guided Prototype Mixture Model for Skin Lesion Segmentation
Few-Shot Camouflaged Object Segmentation
Formalization and Certification of Software for Smart Cities
SPLEAT: SPiking Low-power Event-based ArchiTecture for in-orbit processing of satellite imagery
Reservoir Computing neural networks for estimating mechanical properties of hot steel strips
Deep Learning for Cavitating Marine Propeller Noise Prediction at Design Stage
Analysis of tool use strategies in evolved neural circuits controlling an articulated limb
REIA: Entity Relation Extraction Based on Interaction Policy and Data Augmentation
Complementary Learning Fuzzy Neural Network: An Approach to Imbalanced Dataset
Indoor Surveillance Robot with Person Following and Re-identification
A novel hybrid CNN-Transformer model for EEG Motor Imagery classification
Cross-Scale Correlation Stereo Network
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction
Zero-shot learning compound fault diagnosis of bearings
Optimal design of traffic signal controller using neural networks and fuzzy logic systems
FocusNet: A New Data-driven SAR Image Autofocus Method
Self-Supervised Adversarial Imitation Learning
MMCasN: Macroscopic and microscopic properties fusion for predicting information cascades
BeSOM : Bernoulli on Self-Organizing Map
Complex-Valued Deep Boltzmann Machines
Real-Time Pricing of Mutual Funds
A hybrid search algorithm in a multi-agent system environment for multicriteria optimization of products design
Active Object Detection Using Double DQN and Prioritized Experience Replay
Aggregated Distinguishable Feature Learning for Generalized Deepfake Detection
Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge
Gender Classification with Bayesian Kernel Methods
Learning to Search Efficient DenseNet with Layer-wise Pruning
Supervised Matrix Factorization with sparseness constraints and fast inference
From variable weighting to cluster characterization in topographic unsupervised learning
Online diffusion source detection in social networks
Training Multilayer Neural Network by Global Chaos Optimization Algorithms
Associative memory by Hopfield NN with chaos injection
Investigating the effects of class imbalance in learning the claim authorization process in the Brazilian health care market
Gait fingerprinting-based user identification on smartphones
A novel ranking method of web search result using clustering and concordance count
Asymmetric stacked autoencoder
An Information Geometric Perspective to Adversarial Attacks and Defenses
Short term load forecasting for Iran National Power System and its regions using multi layer perceptron and fuzzy inference systems
Iterative learning of Fisher linear discriminants for handwritten digit recognition
Advanced Image Analysis in Offshore Drilling Surveillance via Edge-Cloud Framework Leveraging Deep Reinforcement Learning
Show Less, Instruct More: Enriching Prompts with Definitions and Guidelines for Zero-Shot NER
A Novel Computing Paradigm for MobileNetV3 using Memristor
Minimizing Inference Time: Optimization Methods for Converted Deep Spiking Neural Networks
Adaptive output feedback control for cooperative dynamic positioning of multiple offshore vessels
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients
Bursting analysis and synapse mechanism of a piece-wise constant spiking neuron model
DCA-CLA: A scRNA-seq Classification Framework based on Deep Count Autoencoder
Online detection and modeling of safety boundaries for aerospace applications using active learning and Bayesian statistics
Continuous Control With a Combination of Supervised and Reinforcement Learning
Discovery of localized spatio-temporal patterns from location-based SNS by clustering users
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
HREB-CRF: Hierarchical Reduced-bias EMA for Chinese Named Entity Recognition
MGTN: Motif-Aware Graph Transformer with Adaptive Redundancy Minimization for Node Importance Ranking
Extreme Graph Kernels for Online Learning on a Memory Budget
Representation Learning vs. Handcrafted Features for Music Genre Classification
A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem
Some further evidence about magnification and shape in neural gas
Regularization and Averaging of the Selective Naive Bayes classifier
Large developing axonal arbors using a distributed and locally-reprogrammable address-event receiver
Graph iForest: Isolation of anomalous and outlier graphs
Augmented Knowledge Graph Querying leveraging LLMs
Mixing Aveboost and Conserboost to Improve Boosting Methods
Recurrent Nets that Time and Count
Does brain react on Indian music? - A functional magnetic resonance imaging study
TinyML for UWB-radar based presence detection
Functional Representation of Recalling Process and Memory Capacity in Associative Memory
YOLO-DYN: An Improved YOLOv8 Model for Multi-Scale Object Detection
Regulating Balance Degree for More Reasonable Visual Question Answering Benchmark
A White-Box Knowledge Distillation Approach for Task-Optimized Large Language Model Compression
DyReg-FResNet: Unsupervised Feature Space Amplified Dynamic Regularized Residual Network for Time Series Classification
GMCWare: A Greedy Modularity Community-based Simplification Algorithm for Malware Detection
Twin Restricted Kernel Machines for Multiview Classification
Lane Intrusion Behaviors Dataset: Action Recognition in Real-world Highway Scenarios for Self-driving
ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning
Image quality assessment using edge and contrast similarity
Frequency independent automatic input variable selection for Neural Networks for forecasting
Design of an optical fixed-weight learning neural network
Augmenting adaptation with retrospective model correction for non-stationary regression problems
Universal learning networks with varying parameters
VIS-Llama: Automated Visualization of Food Cold Chain Data Leveraging the Large Language Model
Variable length concentration based feature construction method for spam detection
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression
Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression
Gene Expression Clustering: a Novel Graph Partitioning Approach
Improving Abstractive Summarization with Iterative Representation
Cross Range Quantization for Network Compression
Self-Organizing Feature Map (SOFM) based Deformable CAD Models
Orthogonal Synthesis: Data Augmentation for Multimodal Sentiment Analysis
Advantage based value iteration for Markov decision processes with unknown rewards
A New Approach to Design Symmetry Invariant Neural Networks
MMMs-induced k-member co-clustering for k-anonymization of cooccurrence information
Processing Landsat TM data using complex-valued NRBF neural network
Self-Attention based Network For Medical Query Expansion
Morphological auto-associative memories applied to true-color image patterns
Application of fuzzy systems in the control of a shunt active power filter with four-leg topology
Forecasting time series - A layered ensemble architecture
Hybrid Visual Adapter and Drop-View Training for Change Captioning
A new Granular Computing approach for sequences representation and classification
FUNC-ESIM: A Dual Pairwise Attention Network for Cross-version Binary Function Matching
PINGS: Physics Informed Networks with Guided Supermasks for Sequential PDE Solving
Radial basis function for classification of remote sensing images
Dynamic RDP-based Sampling for Faster Diffusion Models
RFID Sign Language Recognition Based on Multi-level Deep Feature Fusion
Causality traces for retrospective learning in neural networks - Introduction of parallel and subjective time scales
Deblurring images using projection pursuit learning network
Heterogeneous Pointer Network for Travelling Officer Problem
Analysis of various transient phenomena and co-existing periodic spike-trains in simple digital spike maps
An undercomplete autoencoder to extract muscle synergies for motor intention detection
Graph theoretic based algorithm for mining frequent patterns
A new parallel MRI image reconstruction model with elastic net regularization
Sequential decision-making using feedforward neural networks: applications in surgery
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks
3D face recognition by profile and surface matching
SOM-Based Sparse Binary Encoding for AURA Classifier
Distributed control of second-order nonlinear time-delayed multiagent systems with disturbance using neural networks
Enhanced YOLOv8 for Small Object Detection in UAV Aerial Photography: YOLO-UAV
Clustering Exploratory Activity in an Elevated Plus-Maze with Neural Networks
Neural networks mine for gold at the greyhound racetrack
DAAB: Deep Authorship Attribution in Bengali
Campus Network Intrusion Detection based on Federated Learning
Bidirectional Associative Memories, Self-Organizing Maps and k-Winners-Take-All: Uniting feature extraction and topological principles
On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening
EEG-based mind driven type writer by fuzzy radial basis function neural classifier
Fast Feature Selection by Analyzing Class Regions Approximated by Ellipsoids
TRec: Sequential Recommender Based On Latent Item Trend Information
Mitigating Long-Tailed Anomaly Score Distributions with Importance-Weighted Loss
Dynamic Denoising of Contrastive Learning for GNN-based Node Embedding
Learning with only multiple instance positive bags
Short Text Topic Modeling with Flexible Word Patterns
An iterative relevance feedback learning algorithm for image retrieval systems
Application of polymer microstructures with controlled surface chemistries as a platform for creating and interfacing with synthetic neural networks
A Multivariate Fuzzy Kohonen Clustering Network
A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees
Real-time detection of young spruce using color and texture features on an autonomous forest machine
Facial expression recognition using a pairwise feature selection and classification approach
An application of neurohydrodynamics to a Hopfield neural network
Harmonizing Tradition with Technology: Using AI in Traditional Music Preservation
Enhancing the Undetectability of AI-Generated Text: A Semantics-Preserving Evasion Technique
Hierarchical Knowledge Transfer Network for Distantly Supervised Relation Extraction
A phase-equation model for a large phase lead in manual tracking caused by intermittent visual information
Application of Feature Extractive Algorithm to Bankruptcy Prediction
An ensemble strategy for Haplotype Inference based on the internal variability of algorithms
A digital LSI architecture of elastic graph matching and its FPGA implementation
Sequence-Aware Graph Neural Network for Session-based Recommendation
Inconsistency - Friend or Foe
A Multi-level and Multi-scale Context Refinement Network for Video-based Depression Recognition
Independent component analysis for semi-blind signal separation in MIMO mobile frequency selective communication channels
A Connectionist Model for Weighted Fuzzy Programs
A Meta-learning-based Method for Dynamic Selection of Combination Methods in Classifier Ensembles
Meta-cognitive q-Gaussian RBF network for binary classification: Application to mild cognitive impairment (MCI)
Self-Attentive Recommendation for Multi-Source Review Package
SOM based image data structuring in an augmented reality scenario
Collaborative pedestrian tracking with multiple cameras: Data fusion and visualization
An Enhanced Adaptive Filter Pruning Algorithm Utilizing Sparse Group Lasso Penalty
Computationally Efficient Imitation Learning via K-Timestep Adaptive Action Approximation
A formula of equations of states in singular learning machines
Learning averages over the lie group of symmetric positive-definite matrices
Correntropy based filtering for supernova detection
FA-YOLO: Research On Efficient Feature Selection YOLO Improved Algorithm Based On FMDS and AGMF Modules
An Entropy Maximization Approach to Optimal Dimensionality Reduction
EEG classification to determine the degree of pleasure levels in touch-perception of human subjects
Deep Spiking Neural Network for High-Accuracy and Energy-Efficient Face Action Unit Recognition
Learning from combination of data chunks for multi-class imbalanced data
Multi-layer neural networks for quality of service oriented server-state classification in cloud servers
Hand sign recognition system based on hybrid network classifier
Integrating developmental and conventional Markov decision processes: An application to robotic navigation
N2Cloud: Cloud based neural network simulation application
Class-wise deep dictionary learning
MKE Scheme for Planning and Control of Dual-arm Robotic System Aided with Recurrent Neural Networks
C 2 -YOLO: Rotating Object Detection Network for Remote Sensing Images with Complex Backgrounds
Neural expert weighing