yusuke1997/dblp-id-title huggingface dataset:
Convolution neural network based syntactic and semantic aware paraphrase identification
Transformation-invariant representation and NMF
Community and Local Information Preserved Link Prediction in Complex Networks
Atrial activity estimation using periodic component analysis
Multi-Turn Dialogue Agent as Sales' Assistant in Telemarketing
Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis
Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning
CFPFormer: Cross Feature-Pyramid Transformer Decoder for Medical Image Segmentation
Classification of GPCRs proteins using a statistical encoding method
Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs
FedQNN: Federated Learning using Quantum Neural Networks
A part-versus-part method for massively parallel training of support vector machines
Building expert systems by a modified perceptron network with rule-transfer algorithms
GIMD-Net: An effective General-purpose Image Manipulation Detection Network, even under anti-forensic attacks
Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks
A Relation-aware Attention Neural Network for Modeling the Usage of Scientific Online Resources
A cognitive inspired method for assessing novelty of short-text ideas
Short term load forecasting using a synchronously operated recurrent neural network
FPGA implementation of the kernel CMAC
Neural control for a microgrid
Graphical symbol recognition in architectural plans with an improved Ant-Tree based clustering algorithm
DLBacktrace: Model Agnostic Explainability for any Deep Learning Model
A network that uses parametric weights
Fault tolerant neural networks with hybrid redundancy
Complex-valued Butterfly Transform for Efficient Hyperspectral Image Processing
StreamTinyNet: video streaming analysis with spatial-temporal TinyML
Symbolic associations in neural network activations: Representations in the emergence of communication
Silicon approximation to biological neuron
Decision-Making Algorithm Based on Multiple Context-Aware Agents for Human-Robot Interaction
Some thoughts on using Computational Intelligence methods in classical mind board games
Fair_FM: An Improved Functional Mechanism to Provide Better Privacy Protection and Fairness Guarantee
Generalization of topology preserving maps: a graph approach
ADMM for maximum correntropy criterion
Hypoglycaemia detection for type 1 diabetic patients based on ECG parameters using Fuzzy Support Vector Machine
Learning structure-aware semantic segmentation with image-level supervision
ProDiffAD: Progressively Distilled Diffusion Models for Multivariate Time Series Anomaly Detection in JointCloud Environment
Deep Attention Knowledge Tracking Incorporating Multiple Features and TCN-Transformer
NeIF: Generalizable Illumination Neural Radiance Fields with Implicit Feature Volume
A RoBERTa-GlobalPointer-Based Method for Named Entity Recognition of Legal Documents
Study of active learning in the challenge
Neural decision directed segmentation of silicon defects
Binocular Disparity Unveils the Mechanisms of Stereo Feature Selectivity: Orientation and Motion
Using Convolutional Neural Network for edge detection in musculoskeletal ultrasound images
Machine learning in soil classification
Fault tolerance in artificial neural networks
Mining Syntactic Relationships via Recursion and Wandering on A Dependency Tree for Aspect-Based Sentiment Analysis
The fused lasso penalty for learning interpretable medical scoring systems
Predefined-Time Synchronization Control of Fractional-Order Multi-modal Memristive Neural Networks
Maximum Margin based Semi-supervised Spectral Kernel Learning
Multi-neural networks approaches for biomedical applications: classification of brainstem auditory evoked potentials
Gradient descent approaches to neural-net-based solutions of the Hamilton-Jacobi-Bellman equation
Levenberg-Marquardt and Conjugate Gradient methods applied to a high-order neural network
APC: Predict Global Representation From Local Observation In Multi-Agent Reinforcement Learning
Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems ∗
Compact VLSI Neural Network Circuit with High-Capacity Dynamic Synapses
Inertial Gait-based Person Authentication Using Siamese Networks
Semi-supervised non-negative tensor factorisation of modulation spectrograms for monaural speech separation
Transferring State Representations in Hierarchical Spiking Neural Networks
Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition
Averaging ensembles of self-organising mixture networks for density estimation
Genetic optimization of NN topologies for the task of natural language processing
Game Perception Assessment Algorithm Based on Cumulative Link Ordered Regression
LIFEWATCH: Lifelong Wasserstein Change Point Detection
Modular Multilayer Neural Networks Integrate Multisensory Information Near-optimally
Improving drug discovery using a neural networks based parallel scoring function
An experimental analysis on time series transductive classification on graphs
A Real-Time Unmanned Aerial Vehicle (UAV) Aerial Image Object Detection Model
Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set
Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation
Evolving digital circuits using particle swarm
HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views
A recursive neural network model for processing directed acyclic graphs with labeled edges
A biologically-inspired computational model for transformation invariant target recognition
ADASYN: Adaptive synthetic sampling approach for imbalanced learning
Mitigating fooling with competitive overcomplete output layer neural networks
Learning & Visualizing Genomic Signatures of Cancer Tumors using Deep Neural Networks
Neural Network and Time Series Identification and Prediction
On-line off-line Ranking Support Vector Machine and analysis
Training the feedforward neural network using unconscious search
Stock price prediction using Generic Self-Evolving Takagi-Sugeno-Kang (GSETSK) fuzzy neural network
Computer-aided music composition with LSTM neural network and chaotic inspiration
Order of experimentation for metamodeling tasks
Predicting HIV-1 T Cell Epitopes Using Bio-basis Function Neural Networks
Bounded-time system identification under neuro-sliding training
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains
On Kolmogorov's superpositions: novel gates and circuits for nanoelectronics?
Stochastic complexity of variational Bayesian hidden Markov models
Find synaptic topology from spike trains
PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge
Towards Silhouette-Aware Human Detection in Depth Images
The real time emulation of artificial neural network control system
ETELTLf: A Recursive Embedding Approach for LTLf Satisfiability Checking in CPSs
Accommodative neural filters
An information theoretic kernel algorithm for robust online learning
Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder
Link prediction in graph construction for supervised and semi-supervised learning
A neuro-based network for on-line topological map building and dynamic path planning
Just-in-time Adaptive Classifiers in Non-Stationary Conditions
Deep Feature Analysis in a Transfer Learning-based Approach for the Automatic Identification of Diabetic Macular Edema
A new bi-clustering approach using topological maps
Path Planning for Mobile Robots Based on TPR-DDPG
Dynamic sample size selection based quasi-Newton training for highly nonlinear function approximation using multilayer neural networks
A study on DBM network with non-monotonic neurons
Network Ensembles for Facial Analysis Tasks
A Multi-Task Learning Approach to Improve Sentiment Analysis with Explicit Recommendation
Optimizing working sets for training support vector regressors by Newton's method
Microgrid Energy Management by ANFIS Supported by an ESN Based Prediction Algorithm
Uncertainty-Aware Explainable Recommendation with Large Language Models
Neural predictive coding applied to noisy phoneme recognition
The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning
Augmented Space Linear Model
ClearKD: Clear Knowledge Distillation for Medical Image Classification
Neural networks between integer and rational weights
Attentional Social Recommendation System with Graph Convolutional Network
Reliable estimation of a neural network's domain of validity through interval analysis based inversion
Toward context dependent classification of infra-red spectra by energy minimization
Learning perceptual texture similarity and relative attributes from computational features
Improving decision trees by Tsallis Entropy Information Metric method
iiPCS: Intent-Based In-Context Learning for Project-Specific Code Summarization
Intelligent speed profile prediction on urban traffic networks with machine learning
Tactile feature extraction and classification with connectionist models
Synchronized theta rhythm selection in a dentate gyrus network model
Kernel-PCA denoising of artifact-free protein NMR spectra
EEG-Based Motor Imagery Classification with Deep Multi-Task Learning
A simple overcomplete ICA algorithm by non-orthogonal pair optimizations
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding
Feature extraction from data structures with unsupervised recursive neural networks
An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning
From Coarse to Fine: Hierarchical Multi-scale Temporal Information Modeling via Sub-group Convolution for Video Action Recognition
Hybrid adaptive control based on a Hopfield dynamic neural network for nonlinear dynamical systems
Integrate-and-fire-type digital spiking neuron and its learning for spike-pattern-division multiplex communication
Towards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training
Autoencoder-based feature learning for cyber security applications
A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers
Multiple GraphHeat Networks for Structural to Functional Brain Mapping
Using a 3D CNN for Rejecting False Positives on Pedestrian Detection
Artificial Neural Networks Applied in Study of Atmospheric Parameters to High Voltage Substations Concerning Lightning
Semi-supervised sparse coding
Analyzing Echo-state Networks Using Fractal Dimension
Adaptive Adversarial Training for Meta Reinforcement Learning
Hopfield neural network for seismic velocity picking
Learning by parallel forward propagation
OrderNet: Sorting High Dimensional Low Sample Data with Few-Shot Learning
Character-Level Intrusion Detection Based On Convolutional Neural Networks
Robust identification of uncertain nonlinear systems with state constrains by Differential Neural Networks
Information transformation from a spatiotemporal pattern to synchrony through STDP network
Ensemble Based Data Fusion from Parietal Region Event Related Potentials for Early Diagnosis of Alzheimer's Disease
The Inefficiency of Batch Training for Large Training Sets
An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network
Semi-Supervised Clustering With Multiresolution Autoencoders
Fuzzy Markov predictor in multi-step electric load forecasting
Online non-negative dictionary learning via moment information for sparse Poisson coding
Adiabatic replay for continual learning
A note on fractional-order non-linear controller: possible neural network approach to design
High performance Arabic digits recognizer using neural networks
Cerebellar learning: a possible phase switch in evolution
Fast Support Vector Data Description training using edge detection on large datasets
Density estimation-based document categorization using von Mises-Fisher kernels
Semi-supervised Training for Sequence-to-Sequence Speech Recognition Using Reinforcement Learning
Interaction of individually and collectively treated neurons for explicit class structure in self-organizing maps
eLoom: a specification, simulation and visualization engine for modeling arbitrary hierarchical neural architectures
ARVP: Adversarial Reprogramming Visual Prompts for Class-Incremental Learning
A lite cellular generalized neuron network for frequency prediction of synchronous generators in a multimachine power system
Improved versions of learning vector quantization
An Intelligent System for Pattern Recognition and Time Series Prediction using Modular Neural Networks
Kernel adaptive filtering under generalized Maximum Correntropy Criterion
Solving constrained optimization using decomposition-based EMO algorithm
Hierarchically structured neural networks for printed Hangul character recognition
Approaches to Avoid Overfitting in a Quantum Perceptron
Butterfly Communication Strategies: A prospect for soft-computing techniques
Laplacian-based Semi-supervised Multi-Label Regression
Boosting Aspect Sentiment Quad Prediction by Data Augmentation and Self-Training
A constrained-optimization approach to training neural networks for smooth function approximation and system identification
Ensemble learning with generalization performance measurement and negative correlation
Evolutionary optimization of growing neural gas parameters for object categorization and recognition
Multi-Model Consistency for LLMs' Evaluation
Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network
Modeling high-order human intelligence with intelligence of swarm
A recurrent neural network for real time electrical microgrid prototype optimization
The object class intrinsic filter conjecture
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning
Self-Supervised Mental Disorder Classifiers via Time Reversal
An HMM-based change detection method for intelligent embedded sensors
Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system
An experimental comparison of linear non-Gaussian causal discovery methods and their variants
Causal Visual Feature Extraction for Image Classification Interpretation
Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison
DQ3D: Depth-guided Query for Transformer-Based 3D Object Detection in Traffic Scenarios
Importance of Nyquist-Shannon Sampling in Training of Physics-Informed Neural Networks
A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier
Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems
Knowledge Enhanced Sequential Entity Linking
Risk Assessment Algorithms Based on Recursive Neural Networks
Real Underwater Image Restoration From a Unified Perspective
Supporting mixed initiative human-robot interaction: A script-based cognitive architecture approach
A hardware-oriented learning algorithm for a digital spiking neuron
Deep kernel-SVM network
A comparison of SOM based document categorization systems
Incremental pairwise clustering for large proximity matrices
Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling
Cross-Domain Data Fusion On Distribution Network Voltage Estimation with D-S Evidence Theory
Vertical switching algorithm of fuzzy logic heterogeneous networks based on reinforcement learning assistance
A Dual Network Solution (DNS) for Lag-Free Time Series Forecasting
Gradient-YOLO: Exploring the integration of gradient architecture into the YOLO network
Feature Extraction of Waveform Signals for Uncertain Dynamic Processes Using Neural Networks
Deep Convolutional Neural Networks for Text Localisation in Figures From Biomedical Literature
TSFI-Net: An Ensemble Network for Improving Skin Cancer Detection Using Transfer Learning and Fuzzy Integral
Evolutionary Multitasking with Search Direction Alignment
Layer-Wisely Supervised Learning For One-Shot Neural Architecture Search
Neural circuits for touch-induced locomotion in Caenorhabditis elegans
Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration
Recognizing slow eye movement for driver fatigue detection with machine learning approach
Facial skin beautification via sparse representation over learned layer dictionary
Constrained Reinforcement Learning for Dynamic Material Handling
A Hybrid CNN-LSTM Architecture for Detection of Coronary Artery Disease from ECG
Natural Language Processing approach to NLP Meta model automation
Personalized Outfit Compatibility Prediction Using Outfit Graph Network
Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation
Detecting rare events with lotto-type competitive learning
LMACA: Specific Emitter Identification via a Lightweight Noise-Robust Complex-valued Network with Multi-scale Median Augmented Channel Attention
Modulation of the fractal properties of low frequency endogenous brain oscillations in functional MRI by a working memory task
Surface Identification Using Angle Resolved Light Scatter Measurements
Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix
Coordinated pattern tracking of multiple marine surface vehicles with uncertain kinematics and kinetics
ProtoTree-MIL: Interpretable Multiple Instance Learning for Whole Slide Image Classification
Faithful retinotopic maps with local optimum rules, axonal competition, and Hebbian learning
Two-Stage Diffusion Model for 3D Medical Image Segmentation
Stock Price Manipulation Detection based on Autoencoder Learning of Stock Trades Affinity
Comparison of a Heuristic Dynamic Programming and a Dual Heuristic Programming Based Adaptive Critics Neurocontroller for a Turbogenerator
Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks
Patterns, clusters, and components - what data is made of
A New Radial Basis Function Networks Structure: Application to Time Series Prediction
Guidelines-Enhanced ICL with Examples Selection for Document-Level Event Argument Extraction
Unknown Malicious Codes Detection Based on Rough Set Theory and Support Vector Machine
Cerebellar control of endpoint position-a simulation model
A visualization technique for self-organizing maps with vector fields to obtain the cluster structure at desired levels of detail
Semi-Supervised Online Elastic Extreme Learning Machine for Data Classification
Learning of soccer player agents using a policy gradient method: Coordination between kicker and receiver during free kicks
Multiple Population Alternate Evolution Neural Architecture Search
SACL: Siamese Adaptive Contrastive Learning for Recommendation
Study of a Sequence of Neural Oscillators
A learning-theory-based training algorithm for variable-structure dynamic neural modeling
Design of a Reinforcement Learning PID controller
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement
On Combining Robustness and Regularization in Training Multilayer Perceptrons over Small Data
GTAT: Adversarial Training with Generated Triplets
Enhancement of medical report generation by multi-scale image deblurring strategy
Diagnostic monitoring of internal combustion engines by use of independent component analysis and neural networks
Online Knowledge Distillation with Multi-Architecture Peers
Time series identifying and modeling with neural networks
A universally manipulable body model: Application of the MMC principle to a dual quaternion representation
Forecasting tropospheric ozone concentrations with adaptive neural networks
Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression
Calibrated Rank-SVM for multi-label image categorization
A probabilistic decoding approach to multi-class classification
Nucleus Neural Network: A Data-driven Self-organized Architecture
Edge inference for image interpolation
RSMF-Net: A remote sensing target detection method combining efficient feature modeling and multi-scale fusion
Data Complexity Measures for Imbalanced Classification Tasks
A Novel Physics-Informed Recurrent Neural Network Approach for State Estimation of Autonomous Platforms
RotatGAT: Learning Knowledge Graph Embedding with Translation Assumptions and Graph Attention Networks
A New Spatial Pooler Algorithm Based on Heterogeneous Hash Group
Stochastic feature selection for the discrimination of biomedical spectra
A Multimodal LLM for Chart Understanding and Generation
Multi-Object Grounding via Hierarchical Contrastive Siamese Transformers
Learning Hierarchical Action Selection for an Autonomous Robot
A study of an incremental spectral meta-learner for nonstationary environments
An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation
Comparing time and frequency domain for audio event recognition using deep learning
Continual Correction of Errors Using Smart Memory Replay
CyFormer: Accurate State-of-Health Prediction of Lithium-Ion Batteries via Cyclic Attention
Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression
Neural Network Model with Delay toward Encryption
Multilingual Emotion Recognition: Discovering the Variations of Lexical Semantics between Languages
Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model
A Novel Semi-Supervised Learning Methods Using Support Vector Domain Description
SLI-YOLO: A Lightweight Unauthorized Login Detection Model Based on Multiscale Convolutional Attention
An entropy based robust speech boundary detection algorithm for realistic noisy environments
Efficient Temporal Action Localization with Temporal Attention and Gaussian Weight
Classification and sensitivity analysis to detect fault in induction motors using an MLP network
LEVELIW: Learning extreme verification latency with importance weighting
Adaptive control of aircraft dynamics using neural networks
Drive for Creativity
Towards Autonomous Cyber Defence: Applying Systems Theoretic Process Analysis to Human-Machine Teaming
Probabilistic Prediction of Solar Generation Based on Stacked Autoencoder and Lower Upper Bound Estimation Method
Quaternion singular value decomposition approach to color image de-noising
Detection of Driver Behavioral State Based on 1D CNN-BIGRU and Graph Signal Processing
Object Detection in Transitional Weather Conditions for Autonomous Vehicles
Representing Latent Dimensions Using Compressed Number Lines
Snap-drift neural network for selecting student feedback
Multiple Perspectives Analysis for Document-Level Relation Extraction
Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization
Incorporating instance correlations in multi-label classification via label-space
Challenges in verification and validation of autonomous systems for space exploration
Finding least cost proofs using high order recurrent networks
Spectral Clustering of Synchronous Spike Trains
Enabling Continual Learning with Differentiable Hebbian Plasticity
A robust, coarse-to-fine traffic sign detection method
LogTOTEM: A Logarithmic Neural Processor and its Implementation on an FPGA Fabric
A new linguistic fuzzy approach to recognition of olfactory signals
Neurocontrol of single shaft heavy-duty gas turbine using adaptive dynamic programming
On-Line Expansion of Goal Seeking Neuron Networks
MobileWeatherNet for LiDAR-Only Weather Estimation
Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors
Learning feature bindings with EVSF-Network
Online Policy Distillation with Decision-Attention
STNet: Spatial-Temporal Transformers are Effective for Multivariate Time Series Forecasting
Opinion retrieval through unsupervised topological learning