yusuke1997/dblp-id-title huggingface dataset:
Location IoU: A New Evaluation and Loss for Bounding Box Regression in Object Detection
Analog memristive time dependent learning using discrete nanoscale RRAM devices
An Ecology-based Index for Text Embedding and Classification
Quaternion-Based Graph Contrastive Learning for Recommendation
Kernel CMAC with improved capability
Evaluating the training dynamics of a CMOS based synapse
Evaluation of Information-Theoretic Measures in Echo State Networks on the Edge of Stability
Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms
A new terminating condition to identify the convergence of the learning process in multi-layer feed-forward neural networks
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints
Correlation Encoder-Decoder Model for Text Generation
Toward a neural network theory of emotional influences on creativity
3D CNN based phantom object removing from mobile laser scanning data
Neural network-based approach for the classification of wireless-capsule endoscopic images
Disentangled representations of microscopy images
Modeling the Evolution of Decision Rules in the Human Brain
Efficient Image Super-Resolution via Symmetric Visual Attention Network
MDPO: Multi-Granularity Direct Preference Optimization for Mathematical Reasoning
The use of one-class classifiers for differentiating healthy from epileptic EEG segments
Improving Pointer Network based Dialogue State Tracking via Dual Hierarchical Selective Augmentation
Chain-of-Program Prompting with Open-Source Large Language Models for Text-to-SQL
Learn to Walk with Continuous-action for Knowledge-enhanced Recommendation System
FedLRDP: Federated Learning Framework with Local Random Differential Privacy
Neural Turing Machine for sequential learning of human mobility patterns
Deep Learning for Effective Gender Classification of Tasmania Giant Crabs
Combating Multi-level Adversarial Text with Pruning based Adversarial Training
Discrete- Time Recurrent Neural Induction Motor Control using Kalman Learning
ABiRCNN with neural tensor network for answer selection
Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process
Enhanced artificial neural networks using complex numbers
HiparaLog: Improving Log-based Anomaly Detection through Parameter Feature Integration
Cross-Domain Deep Learning Approach For Multiple Financial Market Prediction
A Bio-inspired Collision Detector for Small Quadcopter
Deep-Attention Model to Analyze Reliable Customers via Federated Learning
LogPrompt: A Log-based Anomaly Detection Framework Using Prompts
An Internet of Things (IoT) Intrusion Detection System Combining Large Language Models (LLMs) and Self-supervised Learning
CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework
Gradient-Threshold-Based Integrity Tree Optimization for Secure GPU Memory
pRAM n-tuple Classifier - a new architecture of probabilistic RAM neurons for classification problems
A Real-Time Semantic Model for Relevance and Novelty Detection from Group Messages
Fusing multi-model hydrological data
Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics
Adaptive Semantic Anchoring for Enhanced Generalized Few-Shot Semantic Segmentation
A Systematic Literature Review on Transfer Learning for 3D-CNNs
Attention-Enhanced Convolutional Deep Architecture with Adaptive Jacobian Regularization for Joint Multi-Modal Optical and X-Ray Screening of Silicon-Carbide Power Devices
A dynamic forecasting method for small scale residential electrical demand
Knowledge Graph Generation with Deep Active Learning
HCL: Hybrid Contrastive Learning for Graph-based Recommendation
Exploring the consequences of distributed feature selection in DNA microarray data
Creative problem solving: A CLARION theory
Skull-closed autonomous development: WWN-6 using natural video
Deep convolutional neural networks for pedestrian detection with skip pooling
Visualisation and knowledge discovery from interpretable models
N2Sky - Neural networks as services in the clouds
Bayesian Sharpness-Aware Prompt Tuning for Cross-Domain Few-shot Learning
An SVM-based approach for stock market trend prediction
Stochastic Local Search for direct training of threshold networks
Multivariate multi-scale Gaussian for microarray unsupervised classification
A cascade form blind source separation connecting source separation and linearization for nonlinear mixtures
Neural network modeling of business decision making
Trading model: Self reorganizing Fuzzy Associative Machine - forecasted MACD-Histogram (SeroFAM-fMACDH)
Semi-supervised clustering with multi-viewpoint based similarity measure
An introduction to complex-valued recurrent correlation neural networks
Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding
Single-trial analysis of post-movement MEG beta synchronization using independent component analysis (ICA)
An alternative approach for binary and categorical self-organizing maps
Resistive memory device requirements for a neural algorithm accelerator
Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks
Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics
Intelligent reconfigurable control of robot manipulators
Density-Fixing: Simple yet Effective Regularization Method based on the Class Priors
Efficient global network learning from local reconstructions
The application of polynomial discriminant function classifiers to isolated Arabic speech recognition
Cross-Domain Feature Interaction: A Robust Generalization Network for Cross-Category Medical Image Classification
Almost all noise types can improve the mutual information of threshold neurons that detect subthreshold signals
Modeling cortico-subcortical interactions during planning, learning, and voluntary control of actions
Look and Review, Then Tell: Generate More Coherent Paragraphs from Images by Fusing Visual and Textual Information
Self-organization sigmoidal blocks networks
Recurrent High Order Neural Networks Identification for Infectious Diseases
Graph Neural Network Based Interference Estimation for Device-to-Device Wireless Communications
Competitive reinforcement learning in continuous control tasks
Handwriting representation and recognition through a sparse projection and low-rank recovery framework
Efficient Stem-Leaf Segmentation with a CDW Transformer: Reduced Memory and Enhanced Accuracy
A gain perturbation method to improve the generalization performance for the recurrent neural network misfire detector
A mixture of experts model for predicting persistent weather patterns
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
A methodology for revealing and monitoring the strategies played by neural networks in mind games
Missing nominal data imputation using association rule based on weighted voting method
Stability of a neutral delay neuron system in the critical case
Inductive Learning on Commonsense Knowledge Graph Completion
Non-linear principal components: projection and reconstruction
Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic Experiences
Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid
Size-reducing RBF networks
Temporal Attention Mechanism Echo State Network for Ultra-Short-Term Wind Power Forecasting
MMPoint-GNN: Graph Neural Network with Dynamic Edges for Human Activity Recognition through a Millimeter-Wave Radar
Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging
MultisensorData Fusion Using Neural Networks
Rano: Restorable Speaker Anonymization via Conditional Invertible Neural Network
An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques
System identification models and using neural networks for Ground Source Heat Pump with Ground Temperature Modeling
A training-time analysis of robustness in feed-forward neural networks
Convolutional Neural Network and Kernel Methods for Occupant Thermal State Detection using Wearable Technology
Online reinforcement with exploration for distributed control
Augmented Efficient BackProp for backpropagation learning in deep autoassociative neural networks
In search of the brain's executive
Task similarity measures for transfer in reinforcement learning task libraries
A Multi-Agent Framework for Recommendation with Heterogeneous Sources
Let Imbalance Have Nowhere to Hide: Class-Sensitive Feature Extraction for Imbalanced Traffic Classification
Optimized deep belief networks on CUDA GPUs
Meta-graph Embedding in Heterogeneous Information Network for Top-N Recommendation
Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods
An empirical study of neighbourhood decay in Kohonen's self organising map
Wasserstein Distance-Based Domain Adaptation and Its Application to Road Segmentation
Adaptive multilayer perceptrons
Expert Knowledge Inspired Contrastive Learning for Sleep Staging
Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) model
Comparing eye-tracking time series imaging methods in ADHD screening
Non-Generative Energy Based Models
IECAT: an Individualized High-Efficiency Ability Assessment for Computerized Adaptive Testing
Multihead Attention-based Audio Image Generation with Cross-Modal Shared Weight Classifier
Harnessing the Symmetry of Convolutions for Systematic Generalisation
Adaptive object recognition based on the radial basis function paradigm
A GAN-based Domain Adaptation Method for Glaucoma Diagnosis
Dynamic Signal Suppression Increases the Fidelity of Looming Perception Against Input Variability
Convolutional decoding using recurrent neural networks
The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge
Chinese Clinical Named Entity Recognition with Word-Level Information Incorporating Dictionaries
Online Automated Machine Learning for Class Imbalanced Data Streams
A Bidirectional Selective State Space Model with Multi-scale Convolution and Additive Gated Attention for Cross-Subject Emotion Recognition
Data-driven Full-waveform Inversion Surrogate using Conditional Generative Adversarial Networks
Unsupervised Temporal Action Segmentation Based on Wavelet Feature Processing
Mobile robot control based on hybrid neuro-fuzzy value gradient reinforcement learning
Diff-DETR: Differential Attention Transformer for Video Moment Retrieval and Highlight Detection
Theoretical Considerations on the Dynamics of Hysteresis Binary Hopfield Networks for Combinatorial Optimization
A Gated Recurrent Unit based Echo State Network
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views
Exploring the Effect of Dynamic Drive Balancing in Open-ended Learning Robots
Enhanced Physics-Informed Neural Networks with Optimized Sensor Placement via Multi-Criteria Adaptive Sampling
Vergence Control of 2 DOF Pan-Tilt Binocular Cameras using a Log-Polar Representation of the Visual Cortex
Research on Judgment Questions Based on Label Guided Prompt Generation and Adapter Mapping
Ensemble of heterogeneous classifiers applied to lithofacies classification using logs from different wells
BPSpike: A backpropagation learning for all parameters in spiking neural networks with multiple layers and multiple spikes
Learner Profile based Knowledge Tracing
A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing
Global Reinforcement Learning in Neural Networks with Stochastic Synapses
Connection between SVM+ and multi-task learning
Noise benefits in the expectation-maximization algorithm: Nem theorems and models
Semi-invariant function of Jacobi algorithm in independent component analysis
Batch self-organizing map algorithm: A theoretical study of self-organization of a 1-D network under quantization effects
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration
A kernel-based ensemble classifier for evolving stream of trees with double concept drifting reaction
Deep Reinforcement Learning Based Multi-Task Automated Channel Pruning for DNNs
Agile gesture recognition for capacitive sensing devices: adapting on-the-job
Neural network-based estimation of light attenuation coefficient
ACJIS: A Novel Attentive Cross Approach For Joint Intent Detection And Slot Filling
Spatiotemporal saliency based on location prior model
A Few-shot Dynamic Obstacle Avoidance Strategy in Unknown Environments
Evaluating the impact of corpora used to train distributed text representation models for noisy and short texts
Differential Private Ensemble Feature Selection
New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures
Large Margin Classifier via Semiparametric Inference
A Composite Extended Nearest Neighbor Model for Day-Ahead Load Forecasting
Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs
Parametric Analysis of Solar Collectors Through Sensitivity Factors Via Artificial Neural Networks
Integrating Title and Citation Context Semantics of Citing Paper via Weighted Attentions for Local Citation Recommendation
Perceptual processes that create objects from fragments
CoLRP: A Contrastive Learning Abstractive Text Summarization Method with ROUGE Penalty
Exploring and Improving Consistency in Large Language Models for Multiple-Choice Question Assessment
Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions
Instance-Specific Learning for Skeleton-Based Action Recognition with Varying Data Quality
MagicGS++: Efficient 2D supervision for High-Quality 3D Content Generation
Detection of Safety Helmet Wearing Based on Improved Faster R-CNN
Coherent learning in cortical maps: a generic approach
Class Distribution Monitoring for Concept Drift Detection
A Transformer based Multi-task Model for Domain Classification, Intent Detection and Slot-Filling
Two-tier self-organizing visual model for road sign recognition
Fusion in agent-based uncertainty theory and neural image of uncertainty
Low Power & Low Latency Cloud Cover Detection in Small Satellites Using On-board Neuromorphic Processors
Data-efficient LLM Fine-tuning for Code Generation
Functionally expanded streaming data as input to classification processes using ensembles of constructive neural networks
Detection of spatiotemporal phase patterns in ECoG using adaptive mixture models
Retrieval-Based Natural 3D Human Motion Generation
Real-world text clustering with adaptive resonance theory neural networks
A neural network and CBR-based model for Sewing Minute Value
Multi-Objective Autoencoder for Fault Detection and Diagnosis in Higher-Order Data
Unsupervised extraction of meaningful Nonlinear Principal Components applied for voice conversion
Verbalizer or Classifier? A New Prompt Learning Model for Event Causality Identification
Thermal Gait Dataset for Deep Learning-Oriented Gait Recognition
Dependent stotchastic blockmodels
Enhanced Causal Reasoning and Graph Networks for Multi-agent Path Finding
Multineuron recordings and the analysis of state dependent network configurations in respiratory neuron assemblies
Inverted Cone Convolutional Neural Network For Deboning MRIs
ℓ2-type regularization-based unsupervised anomaly detection from temporal data
Bi-encoder Network with Structure-texture Consistency for Image Inpainting
Rethinking Self-supervised Learning for Cross-domain Adversarial Sample Recovery
Groundwater Seepage Modeling in a River-Canal System based on Physics-Informed Neural Networks
An Architecture for an Adaptive System with Primitive Concept Formation and Consciousness
Deep Network based Automatic Annotation for Warehouse Automation
Event-driven MLP implementation on neuromimetic hardware
Zernike moments descriptor matching based symmetric optical flow for motion estimation and image registration
Controllable Question Generation via Sequence-to-Sequence Neural Model with Auxiliary Information
Stability analysis of layered digital dynamic networks using dissipativity theory
Anomaly Detection in Chest X-ray Images with Adversarial Masked Autoencoder
Fast record detection in large databases using new high speed time delay neural networks
Fault Diagnosis of time-frequency images based on non-negative factorization and neural network ensemble
Special session panel discussion: methodological issues in the application of learning methods to climate modeling and Earth sciences
SSIE-Diffusion: Personalized Generative Model for Subject-Specific Image Editing
Progressively Relaxed Knowledge Distillation
LoGo Transformer: Hierarchy Lightweight Full Self-Attention Network for Corneal Endothelial Cell Segmentation
A Complementary Action Recognition Network based on Conv-Transformer
Frequency SSL: An Explainable Method for Diffusion Facial Forgery Detection
Damage detection in wind turbine blades using time-frequency analysis of vibration signals
A kernel hat matrix based rejection criterion for outlier removal in support vector regression
Attention-guided Progressive Partition Network for Human Parsing
CRTGAN: Controllable Road Network Graphs Generation via Transformer based GAN
Breast Cancer Histopathological Image Classification Based on Deep Second-order Pooling Network
Generating Compact Tree Ensembles via Annealing
DensEMANN: Building A DenseNet From Scratch, Layer by Layer and Kernel by Kernel
Attention-based Seq2seq Regularisation for Relation Extraction
Robot guiding with obstacle avoidance algorithm for uncertain enviroments based on DTCNN
Spherical Neural Networks and some applications
Feature Re-Balancing for Long-Tailed Visual Recognition
HSD-YOLO: A Lightweight and Accurate Method for PCB Defect Detection
Multispectral magnetic resonance image segmentation using neural networks
View-invariant gait recognition via deterministic learning
The Boltzmann machine
Seeing Through Changes: Clothing Information Suppression and Momentum Enhancement for Cloth-Changing Person Re-Identification
Value-gradient learning
Robust Spectral Based Compression of Hyperspectral Images using LSTM Autoencoders
The learning rate in back-propagation systems: an application of Newton's method
Growing neural network for acquisition of 2-layer structure
Residual Reservoir Memory Networks
Modelling the generation of tinnitus in a silent environment
Hospital foundation actions: Neural network model variable importance
Driver's cognitive state classification toward brain computer interface via using a generalized and supervised technology
Using ensembles for adaptive learning: A comparative approach
Leveraging Label Potential for Enhanced Multimodal Emotion Recognition
Unsupervised incremental STDP learning using forced firing of dormant or idle neurons
Spatio-spectral sufficient statistic for mental imagery EEG signals
Robust quantum classifier with minimal overhead
A wearable activity sensor system and its physical activity classification scheme
Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data
Noisy neuromorphic neurons with RPG on-chip noise source
An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms
Neural classification of objects based on Gabor signature
An Evolutionary Approach for the Greenfield Planning Problem in Distribution Networks
Entity and Evidence Guided Attention for Document-Level Relation Extraction
Enhancing Neural Architecture Search by Upgrading Weak Components
Memristor based neuromorphic circuit for ex-situ training of multi-layer neural network algorithms
Deep Reinforcement Learning for Motion Planning of Quadrotors Using Raw Depth Images
Visual-Semantic Dual Channel Network for Visual Question Answering
Relationship Aware Context Adaptive Feature Selection Framework for Image Parsing
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling
Using neural networks committee machines to improve outcome prediction assessment in nonlinear regression
Generating weights and generating vectors to map complex functions with artificial neural networks
A Cerebral Cortex Model that Self-Organizes Conditional Probability Tables and Executes Belief Propagation
Rank-order principal components. A separation algorithm for ordinal data exploration
An Optimized Approach to Huntington's Disease Detecting via Audio Signals Processing with Dimensionality Reduction
Online training of Hierarchical RBF
Bidirectional associative memory with several patterns
Collaborative clustering between different topological partitions
Face recognition method independent of rotation and size variations
Asymptotic behavior of stochastic Cohen-Grossberg neural networks with variable delays
Normalized neural networks for fast pattern detection
Spatial-Channel Transformer for Scene Recognition
Analog current-mode design for soft-max computation
Tabu search exploration for on-policy reinforcement learning
HMCFA-DTI:A hybrid Multi-scale CNN and cross flow-attention network for drug-target interaction prediction
Unsupervised Replay Strategies for Continual Learning with Limited Data
TAAE: Team-Aware Attention Extraction for Generalized Agent Coordination in Multi-Agent Reinforcement Learning
Adaptive behavior in sub-neural microtubule automata
Piecewise-linear modeling of analog circuits using trained feed-forward neural networks and adaptive clustering of hidden neurons
Motion perception with recurrent self-organizing maps based models
Kernel Nonlinear Dynamic System Identification Based on Expectation-Maximization Method
A novel online real-time classifier for multi-label data streams
Factor graphs for pixelwise illuminant estimation
EEG-based emotion recognition using discriminative graph regularized extreme learning machine
Autism spectrum disorder detection using projection based learning meta-cognitive RBF network
Relationship between fault tolerance, generalization and the Vapnik-Chervonenkis (VC) dimension of feedforward ANNs
Enhancing Drug Synergy Prediction via flexible Fusion of Multimodal Heterogeneous Data
CCCNet: An Attention Based Deep Learning Framework for Categorized Counting of Crowd in Different Body States
Online fault detection based on Typicality and Eccentricity Data Analytics
Anti-Forensic Deepfake Personas and How To Spot Them
Stochastic Convolutional Recurrent Networks
SaSa: Semantic-aware Sequence Augmentor for Recommendation
Quo Vadis neurocomputing? Neural computation at the edge to new perspectives
Data partition and variable selection for time series prediction using wrappers
Hidden Markov models based dynamic hand gesture recognition with incremental learning method
Electric load demand prediction using neural network trained by Kalman filtering
Object-Centric Representation Learning for Video Question Answering
Optimal Estimation of Harmonics in Power System using Intelligent Computing Techniques
Neural network based admission controller for proximity aware mobile services
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
Visualization with Voronoi tessellation and moving output units in Self-Organizing map of the real-number system
Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery
Application of temporal supervised learning algorithm to generation of natural language
Integrating Pretrained CNNs with One-Class Classifiers for Fault-Agnostic Electrical Submersible Pumps Anomaly Detection
Causal and Non-causal Training: A Dynamic Gap-complementary Generative Framework for Session-based Recommendation
ACEs: Unsupervised Multi-label Aspect Detection with Aspect-category Experts
An efficient algorithm on multi-class support vector machine model selection
Simulation of young neocortical networks by spatially coupled oscillators
Neural-network-based nonlinear iterative learning control: Magnetic brake study
Closed-loop Central Pattern Generator Control of Human Gaits in OpenSim Simulator
Enhancing Spatial-Temporal Awareness via Graph Convolutional Networks and Transformers for Traffic Flow Forecasting