yusuke1997/dblp-id-title huggingface dataset:
A2CHoldem: An Intelligent Agent for Texas Hold'em Based on Deep Reinforcement Learning
Robust Sparse Channel Estimation Based on Maximum Mixture Correntropy Criterion
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization
SuperFC: Selective Data Utilization for a Sustainable and Effective Function-Calling Agent
On Hyperdimensional Computing-based Federated Learning: A Case Study
Multi-Source Integration based Transfer Learning Method for Cross-User sEMG Gesture Recognition
Core support extraction for learning from initially labeled nonstationary environments using COMPOSE
Multiplicative Attention Mechanism for Multi-horizon Time Series Forecasting
Closed-Loop Action Repetition for Computationally-Efficient Imitation Learning
A visual self-attention network for facial expression recognition
GETN: A Graph-Based EEG Transformer Network for Driver Takeover Reliability Assessment in Conditionally Automated Driving
Recurrent neural networks inspired by artificial Immune algorithm for time series prediction
Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering
DBDH: A Dual-Branch Dual-Head Neural Network for Invisible Embedded Regions Localization
Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting
The effects of output codes on transfer learning in a deep convolutional neural net
Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species
Simulation model for locomotion in mobile legged robots that includes optimization and associative memory
The Variational InfoMax AutoEncoder
Twitter breaking news detector in the 2018 Brazilian presidential election using word embeddings and convolutional neural networks
Intelligent Facial Action and emotion recognition for humanoid robots
Internal representation in networks of nonmonotonic processing units
Deep Generative State-Space Modeling of FMRI Images for Psychiatric Disorder Diagnosis
A CAD approach to the design of a neural network simulator
Neurolinguistic Approach to Vector Representation of Medical Concepts
FLAGB: Focal Loss based Adaptive Gradient Boosting for Imbalanced Traffic Classification
Applying a Hopfield-style network to degraded text recognition
An Associative Memory for Association Rule Mining
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection
Hybrid Prediction Model for Mobile Data Traffic: A Cluster-level Approach
Spatio-temporal neural data mining architecture in learning robots
Bridging the Modality Gap: Semantic-Calibrated Zero-shot Speech Emotion Captioning
Cognitive memory: Human and machine
Attack-Guided Efficient Robustness Verification of ReLU Neural Networks
Beyond Single: Multidimensional Evaluation of Sentence Embeddings in PLMs
Comparison of Rates of Linear and Neural Network Approximation
Control of multi-stable chaotic neural networks using input constraints
DRMoE: Discourse-Aware Rhetorical Structure for Meeting Summarization with Mixture of Experts
Recurrent timing nets for auditory scene analysis
A theoretical study of the relationship between an ELM network and its subnetworks
Renormalized Graph Representations for Node Classification
Human Activity Recognition Using Spatio-Temporal Dual Attention with Cross-Sensor Attention
A genetically optimized ensemble of is σ-FLNMAP neural classifiers based on non-parametric probability distribution functions
A fast learning Fully Complex-valued Relaxation Network (FCRN)
A cGAN Ensemble-based Uncertainty-aware Surrogate Model for Offline Model-based Optimization in Industrial Control Problems
Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data
Document-Level Relation Extraction with Structure Enhanced Transformer Encoder
An Experiment in Morphological Development for Learning ANN Based Controllers
Linear Program Powered Attack
Semi-supervised Crowd Counting Based on Hard Pseudo-labels
Mixture modeling and inference for recognition of multiple recurring unknown patterns
Optimal prediction of the Nile River flow using neural networks
Reliable Low-Resource Entity Resolution Enhanced by Rules
Deep Convolutional Neural Networks based on Manifold for Smoke Recognition
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
Online Incremental Learning for High Voltage Bushing Condition Monitoring
Emulated digital CNN-UM implementation of a barotropic ocean model
Parallel tempering with equi-energy moves for training of restricted boltzmann machines
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data
A recurrent RBF network model for nearest neighbor classification
An estimate of impulse bounds in delayed BAM neural networks
Automatic recognition of the blood cells of myelogenous leukemia using SVM
Identification of artifacts in scenery images using color and line information by RBF network
Programming the mind and decrypting the universe - A bipolar quantum-neuro-fuzzy associative memory model for quantum cognition and quantum intelligence
A fast information-theoretic approximation of joint mutual information feature selection
Tagging and Tracking in Video Using Neural Net Color Detection and Spatial Filters
Massively parallel image restoration
Evaluation Function for Fault Tolerant Multi-Layer Neural Networks
Dynamic Global-Local Attention Network Based On Capsules for Text Classification
Improving the Quickprop algorithm
Adapting CNNs for Fisheye Cameras without Retraining
A binary feature selection framework in kernel spaces
Climatic variation of the structure of maximum daily temperatures in Spain: A combined statistical and computational intelligence approach
A SOM-based model for multi-sensory integration in the superior colliculus
A proposal for indicating quality of generalization when evaluating ANNs
SNAC convergence and use in adaptive autopilot design
Task-aware Disentanglement for Object Detection
Texture classification by support vector machines with kernels for higher-order Gabor filtering
Knowledge Graph Enhanced Sentential Relation Extraction via Dual Heterogeneous Graph Context Selection
Recursive soft margin subspace learning
FedLCA: Federated Personalization Using Legacy Classifier Layer Aggregation
STFNet: A Spatio-Temporal Feature Fusion Network for Human Activity Recognition Based on mmWave Radar Point Clouds
Various artifacts reduction algorithms for EEG recorded in continuous fMRI scan environment
Syntax Tree Aware Adversarial Question Rewriting for Answer Selection
A novel approach for training neural networks for long-term prediction
An Energy-Efficient SNN Processor Design based on Sparse Direct Feedback and Spike Prediction
Spatial Generation of Molecules with Transformers
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks
Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models
A novel ergodic cellular automaton cochlear model: reproduction of nonlinear sound processing functions of mammalian cochlea and efficient hardware implementation
Dirichlet Prior Networks for Continual Learning
A hypothetical mechanism of auditory processing for extraction of directional cues. Integration with oculomotor function
Deep convolutional neural networks for detection of rail surface defects
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
Interdisciplinary research and speech rhythm
Adaptive Hierarchical Graph Convolutional Network for EEG Emotion Recognition
Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection
MHFL: A Semi-Asynchronous Personalized Federated Learning Framework Based on Model Migration for Edge Clients with Heterogeneous Data
Graph Convolutional Networks Based Standard Essential Patents Identification
Global Periodic Spatiotemporal Awareness for X-Shaped Anterior Visual Pathway Segmentation
Modeling of oscillatory activity of neuron assemblies of the visual cortex
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System
Simulating artificial life using Boltzmann machines
Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation
ZED-TTE: Zone Embedding and Deep Neural Network based Travel Time Estimation Approach
Cross-Asset Risk Management: Integrating LLMs for Real-Time Monitoring of Equity, Fixed Income, and Currency Markets
Forged handwriting verification: a public domain dataset for training machine learning models
A Knowledge Distillation-Driven Lightweight CNN Model for Detecting Malicious Encrypted Network Traffic
Modular Fuzzy Neural Networks for Imitative Learning of A Partner Robot
Transformer Decoder Based Reinforcement Learning Approach for Conversational Response Generation
An STE-Guided Machine Translation Method based on Evidence Theory
Enhanced EfficientNet Network for Classifying Laparoscopy Videos using Transfer Learning Technique
BalNode2Vec: Balanced Random Walk based Versatile Feature Learning for Networks
Tensor Ring Restricted Boltzmann Machines
Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signals
ASTP-VS:Adaptive Stock Trend Prediction Framework with a Variable Structure *
JH-Ranker: Enhancing Keigo Recognition in Japanese Sentences through Multi-Task Learning
Enhancing Template-Free Retrosynthesis Prediction with Cross-Modal Fine-Grained Contrastive Learning
A new method for explaining neural network reasoning
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context
Noisy Mammogram Classification Method Based on New Weighted Fusion Framework
Adaptively weighted support vector regression for financial time series prediction
Adaptive Random Forests with Resampling for Imbalanced data Streams
2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016
Chaotic Complex-Valued Bidirectional Associative Memory
Effects of learning rate on the performance of the population based incremental learning algorithm
Flexible ranking extreme learning machine based on matrix-centering transformation
Neural networks recognition rate as index to compare the performance of fuzzy edge detectors
Predicting the number of biochemical transformations needed to synthesize a compound
Fast pattern detection using neural networks and cross correlation in the frequency domain
Learning of binocular fixations using anomaly detection with deep reinforcement learning
Soccer Video Super-Resolution via Sub-Pixel Convolutional Neural Network
STGNet: Spatio-Temporal aware GCN-Based Model for Autism Prediction in Brain fMRI Data
Large pose invariant face recognition using feature-based recurrent neural network
SkinMamba: Segmentation and Classification of Skin Cancer with Multi-level Context Understanding
Feature ranking in changing environments where new features are introduced
Model of top-down / bottom-up visual attention for location of salient objects in specific domains
The clustering of natural terms: an adaptive resonance theory model
Global asymptotic stability for matrix-valued recurrent neural networks with time delays
Online Knowledge Acquisition with the Selective Inherited Model
IT-Block: Inverted Triangle Block embedded U-Net for Medical Image Segmentation
Contamination event detection in drinking water systems using a real-time learning approach
Vector quantization complexity and quantum computing
Combining probabilistic neural networks and decision trees for maximally accurate and efficient accident prediction
Optimal switching of DC-DC voltage converters using approximate dynamic programming
Towards Effective Edge Unlearning: Enhancing Graph Unlearning via Contrastive Learning with Adversarial Example
Fine Grained Urban Grids Clustering of Mobile Phone Metadata with Deep Spatial Temporal Clustering
Data mining, unsupervised learning and Bayesian ying-yang theory
FDAPNet: Feature Denoising and Aggregation Prediction Network for Polyp Segmentation
Reservoir riddles: suggestions for echo state network research
CA-U-Net: Context Aware U-Net For Brain Tumor Segmentation
EOOD: Entropy-based Out-of-distribution Detection
Analysis of Causal Factor of Driver Fatigue in the Driving in Different Driving Conditions
Data-driven light field depth estimation using deep Convolutional Neural Networks
Encoding sparse features in a Bidirectional Associative Memory
An Adaptive Spatio-Temporal Graph Structure Learning Model for Lithium-Ion Battery Pack State of Health Estimation
Pattern Classification with Missing Values using Multitask Learning
Question Answering with Hierarchical Attention Networks
Studying the economy of energy expenditure in a large balanced spiking neuron network
Balanced self-paced learning with feature corruption
Neural Networks for the Retrieval of Methane from the Sentinel-5 Precursor Satellite
Weighted Spatial Pooling Preprocessing for Rank- ($L, L, 1,1$) BTD with Orthonormality: Application to Multi-Subject fMRI Data
ECT: Efficient Cross Transformer for Image Deblurring
Learning Arc-Length Value Function for Fast Time-Optimal Pick and Place Sequence Planning and Execution
Explicit Linear Dual-Multistep Methods Applied to ZNN Illustrated via Discrete Time-Dependent Linear and Nonlinear Inequalities System Solving
GuideSQL: Utilizing Tables to Guide the Prediction of Columns for Text-to-SQL Generation
Multivariate Load Interval Prediction Considering Dispatch Costs For Integrated Coal Mine Energy Systems
Efficient computation of contrastive explanations
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading
Thinking is Like Processing a Sequence of Spatial and Temporal Words
Inflow forecasting models based on artificial intelligence
Zero-sum two-player game theoretic formulation of affine nonlinear discrete-time systems using neural networks
A Feature Extraction Framework for 3D Scientific Voxel Object Using SVD and Neural Network
Stabilization of Double Inverted Pendulum with Self-Tuning Neuro-PID
MTGnet: Multi-Task Spatiotemporal Graph Convolutional Networks for Air Quality Prediction
CL-CSP: Contrastive Learning with Continuous Semantic Perturbations for Neural Dialogue Generation
I2Mamba: Intra- and Inter-Modality Selective State Space Model for Brain Tumor Segmentation
Classifying seismic signals via RCE neural network
A fast proximal method for convolutional sparse coding
Non-local information for a mixture of multiple linear classifiers
A 3D vision system for detecting use of mobile phones while driving
A Reservoir-based Convolutional Spiking Neural Network for Gesture Recognition from DVS Input
Applying adaptive over-sampling technique based on data density and cost-sensitive SVM to imbalanced learning
Biologically Inspired Neural Controller for Robot Learning and Mapping
Deep Adaptive Resonance Theory for learning biologically inspired episodic memory
MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion
Online recurrent extreme learning machine and its application to time-series prediction
Kernel principal subspace Mahalanobis distances for outlier detection
Evaluating Competence Measures for Dynamic Regressor Selection
FDENet: Improving CTR Prediction via Feature Dynamic Enhancement
Training Spiking ConvNets by STDP and Gradient Descent
Image processing for eye detection and classification of the gaze direction
Search and global minimization in similarity-based methods
Forgetful logic circuits for pulse-mode neural networks
Evolutionary supervision of a dynamical neural network allows learning with on-going weights
Parallel Growing SOM Monitored by Genetic Algorithm
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks
DAPN: Domain-Aligned Prototypical Network for Cross-Domain Few-Shot Image Classification
Feature selection via competitive levy flights
PT3: A Transformer-based Model for Sepsis Death Risk Prediction via Vital Signs Time Series
Safe Reinforcement Learning for CPSs via Formal Modeling and Verification
Be More Focused: A Key Information-Aware Framework with Text Reconstruction for Multi-Span Question Answering
Negative space template: A novel feature to describe activities in video
Single Image Super-Resolution Based on Support Vector Regression
Learning Neural Velocity Fields from Dynamic 3D Scenes via Inter-Frame Consistency Loss
Point Cloud Object Recognition using 3D Convolutional Neural Networks
Estimation of Propagating Phase Transients in EEG Data - Application of Dynamic Logic Neural Modeling Approach
Lightweight Self-Attention Network for Semantic Segmentation
Use of External Markers by Reactive Agents as an Easier Evolutionary Route Toward Memory
Analysis of large multi-dimensional data with a backpropagation neural network
SwatchNet: Small Components Aware Attention for Fashion Product Recoloring
Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations
A synaptic plasticity rule providing a unified approach to supervised and unsupervised learning
Skin lesion segmentation using deep learning for images acquired from smartphones
BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection
AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes
Emergence of computational chaos in asynchronous neurocomputing
Nonnegative Matrix Factorization Using Autoencoders And Exponentiated Gradient Descent
Discrete-Time Backstepping Neural Control for Synchronous Generators
A Reinforcement Learning Algorithm for Resource Provisioning in Mobile Edge Computing Network
A human face recognition approach based on spatially weighted pseudo-Zernike moments
A rebuilt clone elastic net algorithm for traveling salesman problem
A Supervised Multi-Spike Learning Algorithm for Spiking Neural Networks
Modeling attentional loop in the insect Mushroom Bodies
Cost Effective Annotation Framework Using Zero-Shot Text Classification
Do Point Cloud Models Learn Object Contour Features?
A Cross-Modal System for Cell Migration Image Annotation and Retrieval
Dynamic cluster formation using populations of spiking neurons
A Computer Host-Based User Anomaly Detection System Using the Self-Organizing Map
Fusion of Multiple Spatial Networks Derived from Complex-Valued fMRI Data via CNN Classification
L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework
NextSeg: Automatic COVID-19 Lung Infection Segmentation from CT Images Based on Next-ViT
Utilizing unique parametrization property in approximate genetic learning of feed-forward networks
Meta-cognitive Regression Neural Network for function approximation: Application to Remaining Useful Life estimation
Self-segmentation of sequences
Why Not? Tell us the Reason for Writer Dissimilarity
Neural network discrimination of subtle image patterns
Gabor feature processing in spiking neural networks from retina-inspired data
Sliding Empirical Mode Decomposition
A Neurally Guided Patch-Based Style Transfer for Mobile Devices
Fast training algorithm by Particle Swarm Optimization and random candidate selection for rectangular feature based boosted detector
Temporal Hierarchies in Sequence to Sequence for Sentence Correction
A critical survey of STDP in Spiking Neural Networks for Pattern Recognition
Transferring multiple text styles using CycleGAN with supervised style latent space
A scalable reference-point based algorithm to efficiently search large chemical databases
Vax-Culture: A Dataset for Studying Vaccine Discourse on Twitter
Modeling Unstable Behavior of a Natural Circulation Loop with a Neural Network
A comparative study on term weighting schemes for text categorization
LGMD and DSNs neural networks integration for collision predication
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation
MusCaps: Generating Captions for Music Audio
Augmenting Knowledge Graph Attention with Semantic Representation by Large Language Model for Recommendation
A contention-based MAC for wireless sensor networks including a mobile node
Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN
Batch Normalization Assisted Adversarial Pruning: Towards Lightweight, Sparse and Robust Models
Improving deep neural networks using softplus units
A Study on Quantum Reservoir Recurrent Models for Time-Constrained Volatile Sequence Forecasting
How to Learn the Optimal Clique Decompositions in Solving Semidefinite Relaxations for OPF
Spike synchronization in a small-world network
PJ-net: A Pipeline Emphasizing Centerline Priors and Junctions for Lane Graph Construction
Multi-layer Cortical Learning Algorithm for Forecasting Time-series Data with Smoothly Changing Variation Patterns
Gender-Aware Estimation of Depression Severity Level in a Multimodal Setting
Application of biomimetics intelligence for smart sensor surveillance system in legacy powerline network
EDGRNet: An Error Detection and Guided Refinement Network for Skin Lesion Segmentation
What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model
U-Net with Dense Encoder, Residual Decoder and Depth-wise Skip Connections
Action Acquisition Method for Constructing Cognitive Development System Through Instructed Learning
Kernel spectral clustering for community detection in complex networks
Skin color segmentation by histogram-based neural fuzzy network
GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference
A Multiple Command UAV Control System Based on a Hybrid Brain-Computer Interface
Classified image interpolation using neural networks
Development of a neural network derived index for early detection of prostate cancer
Leveraging Statistical Machine Learning to Boost Large Language Models
Tree parity machine-based One-Time Password authentication schemes
SRRM: Semantic Region Relation Model for Indoor Scene Recognition
K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection
Solving Discrete Dynamic Nonlinear Equation System Using New-Type DTG Model With Occasionally-Singular Jacobian Matrix
Computational intelligence techniques for modelling an economic system
Bayesian Neural Network for Fermentation Control
Content-based image retrieval by dictionary of local feature descriptors
Neural networks for odor recognition in artificial noses
UGS-MedSeg: An Intelligent Pathology Images Semi-segmentation System
End-to-end Multimodel Deep Learning for Malware Classification
MoNet: A Mixture of Experts Solution for Multilingual and Low-Resource ASR Challenges
A new VLSI model of neural microcircuits including spike time dependent plasticity
CART-Gait: Cross Angle Refined Training of Cross-View Gait Recognition
Implementation of multi-layer leaky integrator networks on a cellular processor array
An anomaly detection system using a GHSOM-1
Cortically-inspired visual processing with a four layer cellular neural network
Public Data Assisted Differential Private Deep Learning
Towards Robust Certified Defense via Improved Randomized Smoothing
Adaptive Multi-Resolution Attention with Linear Complexity
Action unit selective feature maps in deep networks for facial expression recognition
Speaker-dependent Bimodal Integration of Chinese Phonemes and Letters Using Multimodal Self-organizing Networks
Topographic and non-topographic neural network based computational platform for UAV applications
Test-Time Adaptation for Cross-Subject Motor Imagery EEG Classification Using Information-Aggregation and Source-Guided Weighting
Regularization for the kernel recursive least squares CMAC
Model-free Approximate Dynamic Programming Schemes for Linear Systems
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data
Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression
A Real-Time Multi-Task Learning Framework for Ear Recognition and Landmark Localization with Integrated Gradient Architecture
GANet: A Pedestrian Crossing Intention Prediction Method Based on Group Modelling and Individual Abnormal Action Detection
Can Multimodal Pointer Generator Transformers Produce Topically Relevant Summaries?