yusuke1997/dblp-id-title huggingface dataset:
A kernel k-means clustering method for symbolic interval data
Towards intoxicated speech recognition
Deep Change Vector Analysis to Map Bark Beetle Outbreaks in Open Sentinel-2 Data
Optimization model combining sparse nonlinear dynamic identification and neural network: Research based on battery capacity prediction
Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation
A Dynamic Cortical Amplifier Model for Fast Information Processing
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network
Quantifying Uncertainty of Portfolios using Bayesian Neural Networks
MD-Mono: Lightweight Self-Supervised Monocular Depth Estimation Based on Multi-Scale Adaptive Detail Enhancement
COLD-QA: A Complex Long-Distance Numerical Reasoning Dataset for Hybrid Tabular-Textual Question Answering
Merging the Transform Step and the Quantization Step for Karhunen-Loeve Transform Based Image Compression
Audience expansion based on user browsing history
SwinTaste: Bimodal Biosignals Taste Sensation Recognition via Swin Transformer
Sensor integration in KIV brain model for decision making
Yearly and seasonal models for electricity load forecasting
Rapid and direct quantification of longitudinal relaxation time (T1) in look-locker sequences using an adaptive neural network
Breast Tissue Classification Based on Unbiased Linear Fusion of Neural Networks with Normalized Weighted Average Algorithm
Deep Reinforcement Learning for Autonomous Driving with Multiple Expert Demonstrations
Learning Environmental Sounds with Multi-scale Convolutional Neural Network
Artificial neural network based gait patterns identification using neuromuscular signals and soft tissue deformation analysis of lower limbs muscles
"Cognitive" memory
Smooth Deep Network Embedding
Investigation of generalized Hopfield model by statistical physics methods
Feature Selection Method for Intrusion Detection System Based on Enhanced Hybrid Genetic Algorithm
Medical pattern understanding based on cognitive linguistic formalisms and computational intelligence methods
Can we explain natural language inference decisions taken with neural networks? Inference rules in distributed representations
Continual Learning with Gated Incremental Memories for sequential data processing
Connectionist system for music interpretation
Classification with Tree-Based Ensembles Applied to the WCCI 2006 Performance Prediction Challenge Datasets
Scalable deep traffic flow neural networks for urban traffic congestion prediction
On the Stability of Feature Selection in Multiomics Data
Fast Bayesian support vector machine parameter tuning with the Nystrom method
Multi-source neural networks for speech recognition
Complementary prioritized ensemble selection
Combating False Negatives in Adversarial Imitation Learning
Modelling Graph Neural Network by Aggregating the Activation Maps of Self-Organizing Map
Implications of European By-Design Laws on Data-Driven System Design
Adaptive flight control with living neuronal networks on microelectrode arrays
An efficient parallel ISODATA algorithm based on Kepler GPUs
CMBE: Curiosity-driven Model-Based Exploration for Multi-Agent Reinforcement Learning in Sparse Reward Settings
Building a Chinese Medical Dialogue System: Integrating Large-scale Corpora and Novel Models
Real-time image transmission on the TCP/IP network using wavelet transform and neural network
Associative-memory-recall-based control system for learning hovering manoeuvres
Investigating the variation of orientation tuning in a computational model of the visual cortex
Modeling prosopagnosia using dynamic artificial neural networks
Using Correntropy as a cost function in linear adaptive filters
Improving data based nonlinear process modelling through Bayesian combination of multiple neural networks
Connection between Self-Organizing Maps and Metric Multidimensional Scaling
Approximation of Spike-trains by Digital Spiking Neuron
Can Adam Smith's Invisible Hand phenomenon be used for the analysis of Fourth Estate's impact and behavior?
Handling Missing Data with the Tree-Structured Self-Organizing Map
An adaptive function neural network (ADFUNN) for phrase recognition
Age Estimation of Giant Pandas Based on Narrowed Window Ordered Regression
Learning, detecting, understanding, and predicting concept changes
Generative Adversarial Networks for Road Crack Image Segmentation
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods
Problems of representation of electrocardiograms in convolutional neural networks
Image Captioning Based On Sentence-Level And Word-Level Attention
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning
An analytic solution of the reentrant Poisson master equation and its application in the simulation of large groups of spiking neurons
Nonlinear programming with feedforward neural networks
The CNN: a brain-like computer
A study on cost-effective P2P traffic classification
Neuron-adaptive higher order neural network group models
Asymmetric Synaptic Plasticity Based on Arbitrary Pre- and Postsynaptic Timing Spikes Using Finite State Model
A reinforcement learning approach to the shepherding task using SARSA
MUNet: A Multi-scale U-Net Framework for Medical Image Segmentation
KC2UM: Knowledge-Conversation Cyclic Utilization Mechanism for Knowledge-Grounded Dialogue Generation
Quadratic neural unit and its network in validation of process data of steam turbine loop and energetic boiler
Direction of motion decoding in mouse V1: Neuron predictive power relates to functional connectivity organization
Interpreting Node Embedding with Text-labeled Graphs
Proactive Minimization of Convolutional Networks
Study on gesture recognition system using posture classifier and Jordan recurrent neural network
Optimal reduced sets for sparse kernel spectral clustering
Inverse Modeling of ADI for Prediction of Process Parameters Using PSO-MLP Technique
Clustering with minicolumnar receptive field self-organization
Robust recurrent wavelet-based CMAC control for uncertain nonlinear systems with H ∞ tracking performance
Optimal route of road networks by dynamic programming
Unsupervised clustering of texture features using SOM and Fourier transform
Level Set Method Based on Improved Mumford-Shah Model Applied in Wood Cell Image Segmentation
Using Double Regularization to Improve the Effectiveness and Robustness of Fisher Discriminant Analysis as A Projection Technique
A Novel Hybrid Deep Learning Model For Stock Price Forecasting
Prior Enhancement Strategy Based on MAP for Few-shot Image Classification
Neural network based process control of integrated circuit wire bonding machine
Efficient feature extraction with simultaneous recurrent network for metric learning
Improving the realism of synthetic images through a combination of adversarial and perceptual losses
Prediction interval estimation for electricity price and demand using support vector machines
Deep Structure Learning for Rumor Detection on Twitter
Complex Kalman Filter Trained Recurrent Neural Network Based Equalizer for Mobile Channels
In-Sensor Real Time Learning for Continuous Glucose Monitoring
PDDM: Poisson-Distribution Diffusion Model with Multi-Step Weighted Fusion for Medical Image Segmentation
Semi-supervised Graph Anomaly Detection via Multi-view Contrastive Learning
Unsupervised connectionist clustering algorithms for a better supervised prediction: application to a radio communication problem
A power-efficient biomimetic intra-branch dendritic adder
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments
Adaptive vs. accommodative neural networks for adaptive system identification: part II
An Asymmetric Neuro-Fuzzy Model for the Detection of Meat Spoilage
Incorporating Spatial Sparsity Constraint into Complex IVA of Multi-subject Complex-Valued fMRI Data
Heuristically enhanced dynamic neural networks for structurally improving photovoltaic power forecasting
Temporal sequence learning and recognition with dynamic SOM
Dual Hypergraph Features for Path Inference in Wikipedia Links
On the Divergence Dynamics of the Nonlinear Line of Attraction
Improving Relation Extraction by Entity-Level Contrastive Learning
Adaptive Coarse-to-Fine Interactor for Multi-Scale Object Detection
Self-Refining Language Models to Assess Insurance Claims
Biologically realizable reward-modulated hebbian training for spiking neural networks
The Growing Hierarchical Self-Organizing Map
Neural model of blood glucose level for Type 1 Diabetes Mellitus Patients
Dynamic Hedging Strategies in Derivatives Markets with LLM-Driven Sentiment and News Analytics
Comparing "pattern discovery" and back-propagation classifiers
Decouple then Fusion: Flexible Graph Representation Learning with Cross-Frequency Diversity
A spatial quantum neural computer
PANDA: Perceptually Aware Neural Detection of Anomalies
Design of Output Recurrent CMAC Backstepping Control System for Tracking Periodic Trajectories
Sensor-based Vital Sign Monitoring, Analysis and Visualisation for Ageing in Place
A Bi-branch Dark Channel Differential Convolutional Neural Network for Occupational Pneumoconiosis Staging
Using Deep Speech Recognition to Evaluate Speech Enhancement Methods
Multi ROI and Multi Map Networks for Accurate and Efficient Pedestrian Detection
Modelling gene expression time-series with radial basis function neural networks
Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance
Industrial Feasibility of PEFTpyCoder: A Parameter-Efficient Fine-Tuned Model for In-House Code Assistance
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise
V4 neural network model for visual saliency and discriminative local representation of shapes
Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve
Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices
Deep Randomized Feed-forward Networks Based Prediction of Human Joint Angles Using Wearable Inertial Measurement Unit: Performance Comparison
FANet: Polyp Segmentation Based on Feature Aggregation Network
Security Threats to Explainable Classifiers in Federated Learning
Detecting Adversarial Audio via Activation Quantization Error
Global Context-Aware Graph Neural Networks for Session-based Recommendation
Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks
Geometric Diffusion Model Based on Stochastic Differential Equations for 3D Molecular Generation
Computational explanations for color transparency
MESDeceiver: Efficiently Generating Natural Language Adversarial Examples
Transferring domain rules in a constructive network: introducing RBCC
A Constructive-Fuzzy System Modeling for Time Series Forecasting
The spherical retina a conformal geometric algebra model for human like vision
Hierarchical Neural Network with Bidirectional Selection Mechanism for Sentiment Analysis
Kernel enhanced multilayer perceptron for industrial process diagnosis
Gender aware Deep Boltzmann Machines for phone recognition
One-Parameter Family of New Acquisition Functions for Efficient Global Optimization
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning
Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling
Trends in design of massively parallel coprocessors implemented in digital ASICs
Recurrent Neural Network Based Gating for Natural Gas Load Prediction System
On optimal usage of centroid units in CMLP network
A general purpose intelligent surveillance system for mobile devices using Deep Learning
UApredictor: Urban Anomaly Prediction from Spatial-Temporal Data using Graph Transformer Neural Network
The recticular formation as a multi-valued logic neural network
Superpixel-based sparse representation classifier for hyperspectral image
Off-line Signature Verification Using Writer-Independent Approach
A computational model of selecting visual attention based on bottom-up and top-down feature combination
Resource-constrained classification using a cascade of neural network layers
Distributed Near-Optimal Consensus of Double-Integrator Multi-Agent Systems With Input Constraints
Comparison of Adaptive Resonance Theory Neural Networks for Astronomical Region of Interest Detection and Noise Characterization
Investigation of Mel Frequency Cepstrum Coefficients parameters for classification of infant cries with hypothyroidism using MLP classifier
An hybrid architecture for active and incremental learning: the self-organizing perceptron (SOP) network
An analog VLSI system for computing depth from motion parallax
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion
Opposition based computing - A survey
Evaluating Efficiency and Effectiveness of Federated Learning Approaches in Knowledge Extraction Tasks
Reconstructing Human Vision from fMRI with Multiscale Encoding and Perceptual Specificity
Complex ICA-R
Neural Networks as Soft Sensors: a Comparison in a Real World Application
Improving management of Anemia in End Stage Renal Disease using Reinforcement Learning
Knowledge extraction from radial basis function networks and multilayer perceptrons
BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph
A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians
Robust Neuro-adaptive Asymptotic Consensus for a Class of Uncertain Multi-agent Systems: An Edge-based Paradigm
Power analysis of large-scale, real-time neural networks on SpiNNaker
Geometric Neural Networks and Support Multi-Vector Machines
IR remote sensing image registration based on multi-scale feature extraction
A Fully Attention-Based Information Retriever
Collaborative Graph Neural Networks with Contrastive Learning for Sequential Recommendation
Speech Emotion Recognition Using Dual Global Context Attention and Time-Frequency Features
NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis
Dense-CAM: Visualize the Gender of Brains with MRI Images
Domain Transformer: Predicting Samples of Unseen, Future Domains
Pruning the vocabulary for better context recognition
DenseStream: A Novel Data Representation for Gradient Sparsification in Distributed Synchronous SGD Algorithms
End-to-End Phoneme Recognition using Models from Semantic Image Segmentation
A Recurrent Neural Network for Solving Nonlinear Projection Equations
Semi-Supervised Contrastive Learning for Few-Shot Indoor Positioning via 5G NR
Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity
A Proposal to Ensure Social Distancing with Deep Learning-based Object Detection
Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements
Enhancing Fine-Grained Classification for Low Resolution Images
Multi-view Clustering Network Based on Contrastive Learning and CycleGAN
Complex-valued bidirectional auto-associative memory
Analyzing Face Image Inpainting with Attribute-Driven Generative Network
A decentralized fault detection and prediction scheme for nonlinear interconnected continuous-time systems
A neuromorphic cascaded context sensitive controller for robot manipulator
PSO trained Neural Networks for predicting forest fire size: A comparison of implementation and performance
Ship in Sight: Diffusion Models for Ship-Image Super Resolution
A comparison of bayesian and conditional density models in probabilistic ozone forecasting
Optimal control design for nonlinear systems: Adaptive dynamic programming based on fuzzy critic estimator
A hybrid Support Vector Machine and autoregressive model for detecting gait disorders in the elderly
The optimal value of self-connection
DACKT: Enhanced Code Knowledge Tracing with Dual Attention Mechanisms
On weight initialization in cascade-correlation learning
Concatenated trial based Hilbert-Huang transformation on event-related potentials
A Self-organized artificial neural network architecture that generates the McGurk effect
Enhancing Small Object Detection in Aerial Imagery Based on Strong Feature Extraction and Batch Dimension
Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification
Hardware implementation of KLMS algorithm using FPGA
Refusal Behavior in Large Language Models: A Nonlinear Perspective
A Transferable Adversarial Attack against Object Detection Networks
Binary image coding using cellular neural networks
Enabling back propagation training of memristor crossbar neuromorphic processors
A RBF Neural Network applied to predict soil Field Capacity and Permanent Wilting Point at Brazilian coast
Implementing spike-timing-dependent plasticity on SpiNNaker neuromorphic hardware
Adversarial Multi - View Domain Adaptation for Regression
Feedforward neural networks in forecasting the spatial distribution of the time-dependent multidimensional functions
Attention-based Single Image Dehazing Using Improved CycleGAN
Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map
Extending the power and capacity of constraint satisfaction networks
STM2CN: A Multi-graph Attention-based Framework for Sensor Data Prediction in Smart Cities
Combination of Translation and Rotation in Dual Quaternion Space for Temporal Knowledge Graph Completion
Automatic target recognition of aircrafts using neural networks
Perfect recall from noisy input patterns with a dendritic lattice associative memory
An EEG-based subject- and session-independent drowsiness detection
CyEvent2vec: Attributed Heterogeneous Information Network based Event Embedding Framework for Cyber Security Events Analysis
Rule extraction from neural networks for medical domains
Prior-Posterior Knowledge Prompting-and-Reasoning for Surgical Visual Question Localized-Answering
Nonlinear channel equalization using new neural network model
Chosen Plaintext Attack against Neural Network-Based Symmetric Cipher
Event-Triggered H∞ Tracking Control of Nonlinear Systems via Reinforcement Learning Method
A Novel and High-Accuracy Rumor Detection Approach using Kernel Subtree and Deep Learning Networks
Graph-based semi-supervised Support Vector Data Description for novelty detection
Active selection of training instances for a random forest meta-learner
Short-Term Load Forecasting Using System-Type Neural Network Architecture
Evolutionary neural classification for evaluation of retail stores and decision support
On the use of deep recurrent neural networks for detecting audio spoofing attacks
Multi-Object Tracking Via Multi-Attention
Spatial Identity Embedding or Adjacency Matrix: Rethinking Spatial Dependency Modeling in Traffic Prediction
SymFace: Additional Facial Symmetry Loss for Deep Face Recognition
Dendrite Ellipsoidal Neuron
Manifold learning with iterative dimensionality photo-projection
TumorEncode - Deep Convolutional Autoencoder for Computed Tomography Tumor Treatment Assessment
Lightweight Transformer with Enhanced Inverted Residual Blocks for Bird Sound Recognition
Mass-Based Short Term Selection of Classifiers in Data Streams
One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation
A Collaborative Approach Using Neural Networks for BLE-RSS Lateration-Based Indoor Positioning
Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling
LaWNet: Audio-Visual Emotion Recognition by Listening and Watching
From Implicit to Explicit: A Simple Generative Method for Aspect-Category-Opinion-Sentiment Quadruple Extraction
Distribution comparison for site-specific regression modeling in agriculture
Applications of Clifford support vector machines and Clifford moments for classification
Learning from local and global discriminative information for semi-supervised dimensionality reduction
MemoTiChat: A Memory-Augmented Time-Sensitive Model for Ultra-Long Video Understanding
The implementation of neural networks for the optimization of the production scheduling
Universal Learning Networks with Branch Control
Knowledge Distillation Enables Federated Learning: A Data-free Federated Aggregation Scheme
Computer-aided diagnosis of breast cancer using artificial neural networks: comparison of backpropagation and genetic algorithms
Exploring the limits of multifunctionality across different reservoir computers
Quantum ensemble of trained classifiers
Motor strength classification with machine learning approaches applied to anatomical neuroimages
DDIN: Deep Disentangled Interest Network for Click-Through Rate Prediction
Learning-to-Learn Agent Adaptation Policy for Abstractive Summarization
Multi-Scale Image Stitching Based on Unsupervised Controllable Fusion Structure
How well do oscillator models capture the behaviour of biological neurons?
Reasoning with heuristics and induction: An account based on the CLARION cognitive architecture
Robust image registration with rotation, scale and translation using Best-Buddies Pairs
A comparative analysis of the topological structures of different LPC feature-based speech models
Dynamically Selected Ensemble for Data Stream Classification
CAS-CNN: A deep convolutional neural network for image compression artifact suppression
A Chaotic Neural Network with Duffing's Equation
Use of Artificial Neural Networks for improving fiber optic microbend sensor performance
Biologically-inspired neural coding of sound onset for a musical sound classification task
Fast constructive-covering approach for neural networks
AFA-PredNet: The Action Modulation Within Predictive Coding
Graph Transformer: Anomaly Prediction and Interpretation in Multivariate Time Series
An Adaptive Recurrent Neural Network Model Dedicated to Opportunistic Communication in Wireless Networks
Consciousness and its correlates in awake condition, in different sleep stages and in epilepsy
Robot end-effector recognition using modular neural network for autonomous control
The Improved Algorithm of RT-DETR Based on Multi-Head Attention Mechanism
Peak stick RBF network for online system identification
Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification
An algorithm for automatic assignment of artifact-related independent components in biomedical signal analysis
An Improved Ant Colony Algorithm for UAV Path Planning in Uncertain Environment
Assisted-MobileSAM: Unleashing the Potential of MobileSAM through Teacher Assistant Distillation
Convolutional deep belief networks for feature extraction of EEG signal
Assessing similarity of emergent representations based on unsupervised learning
Permutative coding technique for handwritten digit recognition system
The use of clustering to analyze symptom-based case definitions for acute gastrointestinal illness
Stochastic orthogonal and nonorthogonal subspace basis pursuit
Bottom-up model of visual saliency: A viewpoint based on efficient coding hypothesis
A Complement to the Back-Propagation Algorithm: An Upper Bound for the Learning Rate
Event Extraction via Extracting Triggers and Arguments Simultaneously and Matching
DTEM: A Dynamic Trust Evaluation Method Based on GAT and Enhanced GRU
A dynamic mapping based on probabilistic relaxation
A Kernel Discriminant Information Approach to Non-linear Feature Selection
Reducing Language Bias for Robust VQA Model with Multi-Branch Learning
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration
Large Scale Metric learning
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams
Multiple Object Detection of Workpieces Based on Fusion of Deep Learning and Image Processing
Enhanced Perspective Generation by Consensus of NeX neural models
Pretrained Parameter Configurator for Large Neighborhood Search to Solve Weighted Constraint Satisfaction Problems
Modelling Grid Navigation Using Reinforcement Learning Linear Ballistic Accumulators
Self-organization of two interacting winner-take-all systems
Deepfake Detection via a Progressive Attention Network
Integration of sensorimotor mappings by making use of redundancies