yusuke1997/dblp-id-title huggingface dataset:
Interpretability-Aware Vision Transformer
Scene image classification using a wigner-based Local Binary Patterns descriptor
A robust wind turbine control using a Neural Network based wind speed estimator
SAT: A Sparse Attention Transformer-based Approach for Predicting Market Risk Factors Using Stock Time Series Data
Reservoir computing & extreme learning machines using pairs of cellular automata rules
Neural Net with Adaptive Activation Functions for Face Recognition
Few Shot Object Detection with Incompletely Annotated Samples
A method of biomimetic pattern recognition for face recognition
Diversity-Enhanced Recommendation with Knowledge-Aware Devoted and Diverse Interest Learning
Fast principal component analysis for face detection using cross-correlation and image decomposition
Backpropagation learning method with interval type-2 fuzzy weights in neural networks
A computational model to investigate the effect of dopamine on neural synchronization in striatum
A pragmatic path toward endowing virtually-embodied AIs with human-level linguistic capability
NoisConFuse-Net: Noise Perturbed Encoder with Complementary Fused Dual Decoder and CLIP based Contrastive Regulariser for CT Denoising
Neural assembly generation by selective connection weight updating
Enhancing Intra-Modality Compactness in Text-to-Image Person ReID
Extracting temporal knowledge from time series: A case study in ecological data
Measurement of confusion color pairs for dichromats in order to use applications supporting color vision deficiency
Object recognition using cellular simultaneous recurrent networks and convolutional neural network
Deep Active Transfer Learning for Image Recognition
ATV3D: 3D Object Detection from Attention-based Three-view Representation
DeepRecon: Dynamically reconfigurable architecture for accelerating deep neural networks
Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Models
A highly accurate, optical flow-based algorithm for nonlinear spatial normalization of diffusion tensor images
Motor imagery classification for brain-computer interfaces through a chaotic neural network
Flexible BERT with Width- and Depth-dynamic Inference
Towards Feature-free TSP Solver Selection: A Deep Learning Approach
Class-Balanced Universal Perturbations for Adversarial Training
Assisting the Adversary to Improve GAN Training
Modulation of Activation Function in Triangular Recurrent Neural Networks for Time Series Modeling
Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics
Edge-based Formulation with Graph Attention Network for Practical Vehicle Routing Problem with Time Windows
A novel multilayer neural network model for TOA-based localization in wireless sensor networks
Animal group behavioral model with Evasion Mechanism
Aspect-Dependent Heterogeneous Graph Convolutional Network for Aspect-Level Sentiment Analysis
REMED: Retrieval-Augmented Medical Document Query Responding with Embedding Fine-Tuning
Hessian-based Bounds on Learning Rate for Gradient Descent Algorithms
Active perception for action mirroring
Learning cycles brings chaos in Hopfield networks
Hierarchical neural network approach to ocean colour extraction from remotely sensed imagery
ELM based multiple kernel k-means with diversity-induced regularization
MediSight FusionNet: A General Medical Deep Learning Model for Myopic Maculopathy Classification
COPS: Controlled Pruning Before Training Starts
A Pitch Extraction System Based on Laryngeal Mechanisms Classification
Hybrid Gray-Scale and Fuzzy Morphological/Linear Perceptrons Trained By Extreme Learning Machine
Deterministic weight modification algorithm for efficient learning
An attempt in modelling early intervention in autism using neural networks
Cross-domain Recommendation with Semantic Correlation in Tagging Systems
A neurodynamic approach to bicriteria model predictive control of nonlinear affine systems based on a Goal Programming formulation
Lattice sampling for efficient learning with Nadaraya-Watson local models
A Feature Aggregation Hourglass Network for Human Pose Estimation
Visual Analytics for Explainable AI with Spatio-Temporal Data: A Comparative Study
Stability of Cohen-Grossberg Neural Networks with Nonnegative Periodic solutions
Building an accretive authentication system using a RBF network
HD-CBBIN: A Lightweight Approach for Contextual Bandit Learning in Real-Time Applications
A Model of Wind-up based on Short-term and Long-term Synaptic Plasticity Mechanisms
Revisiting the Onsets and Frames Model with Additive Attention
Vessel maneuvering model identification using multi-output dynamic radial-basis-function networks
Semantic Image Segmentation Based on Attentions to Intra Scales and Inner Channels
Modified Neural Network aided EKF based SLAM for improving an accuracy of the feature map
A Neuro-Fuzzy Approach for the Motion Planning of Redundant Manipulators
Semantic VL-BERT: Visual Grounding via Attribute Learning
Spatio-Temporal Prior Graph Convolution-Mixer for Human Motion Prediction
Learning to navigate from limited sensory input: experiments with the Khepera microrobot
Music recommendation via heterogeneous information graph embedding
A Robust Two-Dimensional DOA Estimation Approach Based on Convolutional Attention Network
Neural neutron/gamma discrimination in organic scintillators for fusion applications
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection
Should Activation Functions be Affinely Recursive?
Neural network based light attenuation model for monitoring health
An investigation of high-resolution modeling units of deep neural networks for acoustic scene classification
Neurogammon: a neural-network backgammon program
Facilitatory neural activity compensating for neural delays as a potential cause of the flash-lag effect
An evolutionary sampling approach for classification with imbalanced data
Iterative Design of Regularizers Based on Data by Minimizing Generalization Errors
Graph-boosted convolutional neural networks for semantic segmentation
Refining Entity Descriptions with Relation Embeddings for Scientific Relation Classification
Using reconstructability analysis to select input variables for artificial neural networks
Slow Feature Oscillation Enhances Reservoir Computing for Learning Long-Period Patterns
Discriminative feature extraction and selection applied to face recognition
Improving End-to-End Speech Recognition Through Conditional Cross-Modal Knowledge Distillation with Language Model
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer
Comparing Neural Networks for Speech Emotion Recognition in Customer Service Interactions
Background modeling on depth video sequences using self-organizing retinotopic maps
Health Care Customer Satisfaction Survey Analysis Using Self-Organizing Maps and "Exponentially Smeared" Data Vectors
A dynamical connectionist model of idea generation
Structure Formation in Visual Cortex Based on a Curved Feature Space
Modeling the beneficial effects of incubation in creative brainstorming
Spiking neuron models of the medial and lateral superior olive for sound localisation
Localisation in Wireless Networks using Deep Bidirectional Recurrent Neural Networks
Stability Analysis of Evolved Continuous Time Recurrent Neural Networks that Balance a Double Inverted Pendulum on a Cart
Generative shape deformation with optimal transport using learned transformations
Adaptive filtering for desired error distribution under minimum information divergence criterion
Residential energy system control and management using a Hill-climbing heuristic method
Function learning with local linear regression models: An analysis based on discrepancy
Channel Interaction with Local Enhancement for Few-Shot Semantic Segmentation
A Hidden Backdoor Attack via Formal Text Style Transfer in Language Models
Optimizing Multi-Scale and Multi-Modal Fusion for Medical Image Segmentation: A Novel MedSwin-UNet Architecture
Improved neural network training using redundant structure
MAUM: Document-Level Relation Extraction with Memory Augmentation and U-Mamba
Fast Entropy Clustering of sparse high dimensional binary data
A Simple Semantics and Topic-aware Method to Enhance Abstractive Summarization
Multi-swarms Dynamic Convergence Optimization for object tracking
Max-margin latent feature relational models for entity-attribute networks
Automated Patient-Specific C1-C2 Posterior Cervical Fusion Screw Trajectory Planning using 3D Deep Learning
Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes
PEM: A Medical Named Entity Recognition Method Based on Proximity Enhancement
Complex-valued self-organizing map clustering using complex inner product in active millimeter-wave imaging
Application of multi-branch neural networks to stock market prediction
On the need for on-line learning in brain-computer interfaces
Implementation of the RBF neural chip with the on-line learning back-propagation algorithm
Deep Reinforcement Learning for Traveling Salesman Problem with Time Windows and Rejections
Hybrid EMG Recognition System by MDA and PCA
Recognition of Danish phonemes using an artificial neural network
Triplet Loss for Knowledge Distillation
FA-GAL-ResNet: Lightweight Residual Network using Focused Attention Mechanism and Generative Adversarial Learning via Knowledge Distillation
Toward a Reliable Network-Based Intrusion Detection Model for SCADA: A Classification with Reject Option Approach
Dynamic Knowledge Elicitation: Leveraging Student Feedback for Improved Language Model Distillation
Following the leader using a tracking system based on pre-trained deep neural networks
MSGFusion: Muti-scale Semantic Guided LiDAR-Camera Fusion for 3D Object Detection
Incremental Multi-view Clustering using Barycentric Coordinate Representation
An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning
Relaxed Attention for Transformer Models
Automatic Segmentation of Organs-At-Risk and Clinical Target Volume for Cervical Cancer Using Manifold Learning
A Reinforcement Learning Approach for Optimal Control in Microgrids
A new information-theoretic dissimilarity for clustering time-dependent gene expression profiles modeled withradial basis functions
CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme Conditions
MakeItSmile: Detail-Enhanced Smiling Face Reenactment
Inheritance of Information in ANNs and Equivalence Relations
Spatio-temporal Active Learning for Visual Tracking
Mining user tasks from print logs
Extracting nonlinear correlation for the classification of single-trial EEG in a finger movement task
Evaluation of cluster combination functions for mixture of experts
Hebbian learning with winner take all for spiking neural networks
FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification
Recent advances in video-based human action recognition using deep learning: A review
High capacity associative memories and small world networks
Learning from testing data: A new view of incremental semi-supervised learning
Scene-Perception Graph Convolutional Networks for Human Action Prediction
State filtering and parameter estimation for Hodgkin-Huxley model
Adaptive Texture Distillation Network for Image Hybrid Super-Resolution
Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms
Toward a Smart Grid: Integration of computational intelligence into Power Grid
Newton's method backpropagation for complex-valued holomorphic multilayer perceptrons
Interpretable Modeling of Aesthetic Evaluation in Calligraphy Imitation
Model-Following Controller for Nonlinear Plants using RBF Neural Networks
More effective reinforcement learning by introducing sensory information
Generative Adversarial Nets for Multiple Text Corpora
Neural networks for consciousness: the central representation
DSPA: Dual-Spiral Pyramid Network with Multi-scale Attention for Temporal Action Localization
Ensemble application of convolutional and recurrent neural networks for multi-label text categorization
Quantifying Uncertainty in Neural Network Ensembles using U-Statistics
Visually Analysing the Fairness of Clustered Federated Learning with Non-IID Data
Neuro-fuzzy dynamic pole placement control of nonlinear discrete-time systems
Person Head Detection in Multiple Scales Using Deep Convolutional Neural Networks
How to produce complementary explanations using an Ensemble Model
Neural network multitask learning for traffic flow forecasting
Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning
Second-order generalization
Adaptive approaches for keystroke dynamics
LDLBPA:LLM-Driven Latent Behavior Patterns Augmentation for ID-based Recommendation
Shrank Support Vector Clustering
The art of scaling up : A computational account on action selection in basal ganglia
Neuro-Architecture-Motivated ANNs and Cortical Parcellation
A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images
Incremental Learning for Text Document Classification
A Multi-Application, Scalable and Adaptable Hardware SOM Architecture
Removing Movable Objects from Grid Maps of Self-Driving Cars Using Deep Neural Networks
Personalized Federated Learning with Enhanced Implicit Generalization
Computational Templates, Neural Network Dynamics, and Symbolic Logic
Default ARTMAP 2
A Novel Gradient Accumulation Method for Calibration of Named Entity Recognition Models
Distributed music classification using Random Vector Functional-Link nets
Recursive Learning Framework for Structured Data Agglomeration
Deep Portfolio Optimization Modeling based on Conv-Transformers with Graph Attention Mechanism
Nonlinear System Identification Based on B-Spline Neural Network and Modified Particle Swarm Optimization
Ensemble of Competitive Associative Nets and Multiple K-fold Cross-Validation for Estimating Predictive Uncertainty in Environmental Modelling
Design of dynamic petri recurrent-fuzzy-neural- network for robust path tracking control of mobile robot
Approximating and learning unknown mappings using multilayer feedforward networks with bounded weights
DenseCapVCR: Utilizing Dense Captions for Visual Commonsense Reasoning
Complex Systems Approaches to Emergent Goal Formation in Cognitive Agents
Weighted centroid neural network for edge preserving image compression
Hyper-Relation Fusion for Solving Multi-depot Vehicle Routing Problems
Towards visualisation of sound-scapes through dimensionality reduction
Weighted Population Code for low power neuromorphic image classification
Learnable Weighted Superposition in HDC and its Application to Multi-channel Time Series Classification
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation
Automatic generation of VHDL code for neural applications
Deep Random Vector Functional Link Network for handwritten character recognition
Generalised Kernel Machines
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach
Predicting LncRNA-Protein Interactions Through Global and Local Features based on Cross Attention Mechanism
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework
Cooperative learning: Decentralized data neural network
A Simple Design for High Speed Normalized Neural Networks Implemented in the Frequency Domain for Pattern Detection
Representation Learning with Function Call Graph Transformations for Malware Open Set Recognition
Are recurrent associative memories good models of decision making? Modelling discrimination decisions from different perspectives
Local short term electricity load forecasting: Automatic approaches
A Neural Network Architecture for Learning a Feedback Controller from Demonstration
A Novel Visuo-Tactile Object Recognition Pipeline using Transformers with Feature Level Fusion
Para-X: Graph-based Facial Paralysis Detection using Structural Deformations of Facial Expression
Conduction delay plasticity can robustly learn spatiotemporal patterns embedded in noise
Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments
Power infrastructure monitoring and damage detection using drone captured images
Using continuous action spaces to solve discrete problems
A neural network based classifier and biofeedback device for improving clarinet tone-quality
Ideal Modified Adachi Chaotic Neural Networks and active shape model for infant facial cry detection on still image
Latent shared representation for multi-view subspace clustering
Synapse maintenance in the Where-What Networks
Classification of migraine stages based on resting-state EEG power
Modeling structural plasticity in the barn owl auditory localization system with a spike-time dependent Hebbian learning rule
A new Spectral-Spatial Pseudo-3D Dense Network for Hyperspectral Image Classification
Signed Safety Field Reinforcement Learning with Multi-agent System in Competitive and Cooperative Environments
A Method Based on Convex Cone Model for Image-Set Classification With CNN Features
A Bounded Exploration Approach to Constructive Algorithms for Recurrent Neural Networks
An improved neural network ensemble model of Aldose Reductase inhibitory activity
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures
Artificial neural network-based pharmacodynamic population analysis in chronic renal failure
Fast Learning Artificial Neural Network (FLANN) Based Color Image Segmentation in R-G-B-S-V Cluster Space
An ensemble approach for ordinal threshold models applied to liver transplantation
Ensemble of perceptrons with confidence measure for piecewise linear decomposition
An Extended Battery Equivalent Circuit Model for an Energy Community Real Time EMS
Recursive Feature Addition for Gene Selection
A community discovery approach in multi-label data
Controlled Complete ARMA Independent Process Analysis
Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients
Olfactory signal classification based on evolutionary computation
Piecewise Linear Homeomorphisms: The Scalar Case
Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling
Target recognition using neural networks for model deformation measurements
Pattern classification with meta-cognition and online sequential learning algorithm
Transfer Learning based Task-oriented Dialogue Policy for Multiple Domains using Hierarchical Reinforcement Learning
Knowledge-Based Cascade-Correlation
Segmentation of Human Body Parts using Growing Neural Gas with Event Camera
Multi-dimensional Search with Strip Convolution and R-Squared Loss for Lane Detection
Forecast of paroxysmal atrial fibrillation using a deep neural network
WW-Nets: Dual Neural Networks for Object Detection
High-dimensional function approximation using local linear embedding
Improving the Semantic Consistency of Textual Adversarial Attacks via Prompt
Recurrent neural control for rollover prevention on heavy vehicles
Image segmentation via ant colony algorithm and loopy belief propagation algorithm
Global and Local Structure SPD Manifold Network for Image Set Classification
The real-world localization and classification of multiple odours using a biologically based neurorobotics approach
Learning Generalisable Representations for Offline Signature Verification
Single channel speech recovery by coding
Challenges in clustering C. elegans neurons using computational approaches
Echo state networks: appeal and challenges
A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator
Citizens and Information and Communication Technologies
Predicting intrusions with local linear models
An approximation of nonlinear discriminant analysis by multilayer neural networks
SVMs applied to objective aesthetic evaluation conservative breast cancer treatment
Cognitive neural network for cybersecurity
A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness
How to Design or Learn Prompt for Domain Adaptation?
A Bi-modal Automated Essay Scoring System for Handwritten Essays
Double Transfer Learning for Breast Cancer Histopathologic Image Classification
A GAN Model With Self-attention Mechanism To Generate Multi-instruments Symbolic Music
Out-of-core backpropagation
Multi-Satellite Resource Scheduling Based on Deep Neural Network
Addressing Predicate Overlap in Scene Graph Generation with Semantics-prototype Learning
CUR+NMF for learning spectral features from large data matrix
Concerning the mapping of ambiguous retinal output vectors onto unambiguous visual percepts
A Study of Supervised Learning with Multivariate Analysis on Unbalanced Datasets
Revisiting Edge Detection in Convolutional Neural Networks
Modular Image Principal Component Analysis for face recognition
A New Method to Prune the Neural Network
Multi-Target NeuralLss Regression with Learned Confidence Space
Vibrate Synchronize Function neural network model - Its backgrounds
A kernel fuzzy classifier with ellipsoidal regions
MOKD-EEG:Multi-Task Learning-Based Online Knowledge Distillation for Cross-Task EEG Classification
Dynamic pricing and reinforcement learning
A new method to generate color texture images based on HSV and olfactory system bionic model
Hybrid neural network under-actuated sliding-mode control for trajectory tracking of quad-rotor unmanned aerial vehicle
Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm
A novel min-max feature value based neural architecture and learning algorithm for classification of microcalcifications
Implementing competitive learning in a quantum system
Riemannian optimization with subspace tracking for low-rank recovery
Human Interaction Recognition with Skeletal Attention and Shift Graph Convolution
A few online algorithms for extracting minor generalized eigenvectors
Representing Knowledge Graph Triples through Siamese Line Graph Sampling
Two-Stage Deep Learning Approach for Speech Enhancement and Reconstruction in The Frequency and Time Domains
Fast CNN Inference by Adaptive Sparse Matrix Decomposition
A Multi-correspondence Object Detection Algorithm Based on Keypoints
An FPGA distributed implementation model for embedded SOM with on-line learning
Simulated callosal lesions in a neural model of left and right hemispheric regions
3D Room Reconstruction from A Single Fisheye Image
A Neuronal Multisensory Processing Simulator
Spatio-Temporal Graph-based Semantic Compositional Network for Video Captioning
Mixed Entropy Down-Sampling based Ensemble Learning for Speech Emotion Recognition
An RCE-based associative memory with application to human face recognition
Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients' for Neuro-Rehabilitation Application
A simulator for Freeman K-sets in Java
Towards Precise End-to-end Semi-Supervised Human Head Detection Network
Automated identification of systematic performance changes in 5G networks by changepoint tracking
Incremental Common Spatial Pattern algorithm for BCI
Classification and verification through the combination of the multi-layer perceptron and auto-association neural networks
Early Prediction Method for Remaining Useful Life of Lithium Batteries Based on GPR-SSA Model
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information
Robust Deepfake Speech Algorithm Recognition: Classifying Generative Algorithms via Speaker X-Vectors and Deep Learning
Representation-dimensionality Trade-off in Biological Sequence-based Inference
Locally Asymptotically Stable Fixed-point Assignment Problems in Neural Networks and Application to Associative Memory
Multi-view Geometry-Aware Diffusion Transformer for Novel View Synthesis of Indoor Scenes
Centrality Ranking via Topologically Biased Random Walks in Multiplex Networks
Proving the efficacy of complementary inputs for multilayer neural networks