yusuke1997/dblp-id-title huggingface dataset:
Maximum entropy utility equilibrium of mobile agents with aggregated statistical behaviours
Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels
Accurate Device Temperature Forecasting using Recurrent Neural Network for Smartphone Thermal Management
Generating Explanations for Model Incorrect Decisions via Hierarchical Optimization of Conceptual Sensitivity
EEG signal separation for multi-class motor imagery using common spatial patterns based on Joint Approximate Diagonalization
TS-DST: A Two-Stage Framework for Schema-Guided Dialogue State Tracking with Selected Dialogue History
Combining local and global visual information in context-based neurorobotic navigation
Mask Consistency and Contrast Regularization for Prompt-Based Learning
A text-to-speech system for Arabic using neural networks
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier
Visualization tool for a Self-Splitting modular Neural Network
Prioritized Sampling with Intrinsic Motivation in Multi-Task Reinforcement Learning
Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions
Solutions to finite horizon cost problems using actor-critic reinforcement learning
Bayesian evolution of rich neural networks
Using input-space bisection and backpropagation as a method to emulate complex numerical simulations for design decision making
Genetic algorithm applied to ICA feature selection
GADformer: A Transparent Transformer Model for Group Anomaly Detection on Trajectories
Intra-Model Collaborative Learning of Neural Networks
Approximate Robust Policy Iteration for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Parametric Transition Matrices
Sufficient conditions for sparse recovery by weighted ℓ1-constrained quadratic programming
Cohesive Explanation for Time Series Prediction
Range-Doppler Detection in Automotive Radar with Deep Learning
Comparative Analysis of Machine Learning Techniques for Island Heightmap Generation
Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease
Fuzzy ROC curves for unsupervised nonparametric ensemble techniques
A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs
An Ab Initio Local Principal Path Algorithm
Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery
A Self-organizing Method for Robot Navigation based on Learned Place and Head-Direction Cells
Temporal Dependent Local Learning for Deep Spiking Neural Networks
Learning user distance from multiple social networks
Class specific gene expression estimation and classification in microarray data
Learning Implicit Relations for Collaborative Filtering via Optimal Transport
A comparison of CNN and LEGION networks
A strategy for an efficient training of radial basis function networks for classification applications
The MC-ELM: Learning an ELM-like network with minimum VC dimension
View-invariant object category learning, attention, recognition, search, and scene understanding
Scaling Prompt Instructed Zero Shot Composed Image Retrieval with Image-Only Data
Face detection and emotional extraction system using double structure neural network
Emotion recognition based on a novel triangular facial feature extraction method
Deep convolutional network neocognitron: Improved Interpolating-Vector
CRoCExplainer: A Tool to Explain Graph Learning with Improved Connectedness Representation
Orientation Selectivity for Representation of Facial Expression Changes
Using Rotation-Invariant Point and Line Features for Image Matching
On model selection in SLT and linear basis neural networks
Probabilistic human mobility model in indoor environment
On Learning Community-specific Similarity Metrics for Cold-start Link Prediction
Correntropy as a Novel Measure for Nonlinearity Tests
Multi-turn Intent Determination for Goal-oriented Dialogue systems
Topographic Class Grouping with applications to 3D object recognition
Hire When You Need to: Gradual Participant Recruitment for Auction-Based Federated Learning
Cognitive memory systems in consciousness and memory model
Optimization of a learning algorithm for tactile pattern generation
Mining Frequent and Rare Itemsets With Weighted Supports Using Additive Neural Itemset Embedding
ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework
Reshaping Cross-Entropy Non-Convex Properties through Normalized Risk-Averse Loss
Tracking the model: Data assimilation by artificial neural network
Improving Sentence Representations with Local and Global Attention for Classification
Gradient-descent-based learning in memristive crossbar arrays
Towards the Overcome of Performance Pitfalls in Data Stream Mining Tools
Attention-Driven LPLC2 Neural Ensemble Model for Multi-Target Looming Detection and Localization
Blind separation of convolutive mixtures
Dynamical analysis of recurrent neural circuits in articulated limb controllers for tool use
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
Derivative based prediction with look ahead
Artificial Neural Network Pruning to Extract Knowledge
Audio visual speech recognition with multimodal recurrent neural networks
EROCNet: Multi-Scale Spectral Synergy for Resource-Efficient Retinal Optical Coherence Tomography Diagnosis
Reinforcement learning of multiple tasks using parametric bias
Fast orthogonal linear discriminant analysis with applications to image classification
Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition
A novel ensemble classifier approach using weak classifier learning on overlapping clusters
Information in a dynamic theory of behavioral patterns
Static Crowd Scene Analysis via Deep Network with Multi-branch Dilated Convolution Blocks
Explaining Vision Transformers Through Similarity-based Graphs
Novel Use of Self-organizing Map for Q-matrix Calibration in Cognitive Diagnosis Assessment
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent
Harmonize the Concealment and Salience: Adaptive Camouflage Synthesizing Network for Camouflage Images Generation
Learning a Strategy for Preference Elicitation in Conversational Recommender Systems
Simplified swarm optimization for repairable redundancy allocation problem in multi-state systems with bridge topology
Enhanced image classification with a fast-learning shallow convolutional neural network
A Pilot Study for Investigating Gait Signatures in Multi-Scenario Applications
Coarse image region segmentation using region-and boundary-based coupled MRF models and their PWM VLSI implementation
WRN-YOLO: An Improved YOLO for Drone Detection using Wide ResNet
Class-dependent feature selection algorithm for text categorization
Phase cone detection optimization in EEG data
Unifying Global and Local Scene Entities Modelling for Precise Action Spotting
WWN-2: A biologically inspired neural network for concurrent visual attention and recognition
From Light to Spikes: a Large-Scale Retina Simulator
Self-organizing neurons: toward brain-inspired unsupervised learning
An approach to improve online sequential extreme learning machines using restricted Boltzmann machines
A Person Re-Identification Method Incorporating Multigrain Features and Human Body Knowledge
Strategy-Augmented Planning for Large Language Models via Opponent Exploitation
"Neuromathematics" - Open platform to accelerate complex applied math problems solutions using neural network algorithms
Distilling Stereo Networks for Performant and Efficient Leaner Networks
Text Representations for Text Categorization: A Case Study in Biomedical Domain
Obstacle to training SpikeProp networks - Cause of surges in training process -
Functional interpretations of neocortical modules
The iCub learns numbers: An embodied cognition study
An FPGA implementation of 1,024-neuron system for PAPR reduction of OFDM signal
Vertical Split Learning - an exploration of predictive performance in medical and other use cases
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks
Active Forgetting in Machine Learning and its Application to Financial Problems
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs
A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images
Improved mutual information feature selector for neural networks in supervised learning
Analysis of function of rectified linear unit used in deep learning
A spiking network for body size learning inspired by the fruit fly
Design of spatially extended neural networks for specific applications
Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data
Understanding and forecasting atmospheric quality parameters with the aid of ANNs
Adaptive Sleep Staging via Cross-Modal Feature Interaction and Time-Frequency Analysis
Predictive control based on feedforward neural network for strong nonlinear system
Robust neural decentralized control for a quadrotor UAV
InfoSyncNet: Information Synchronization Temporal Convolutional Network for Visual Speech Recognition
Improved link-based cluster ensembles
Word Sense Disambiguation based on Sequence Topic Model using sense dependency
Image representation via sub-dictionary based sparse coding
A pseudo-inverse neural net with storage capacity exceeding N
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning
A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation
A Theory of the Brain: There Are Parts of the Brain That Control Other Parts
Clustering and synchronous firing of coupled Rulkov maps with STDP for modeling epilepsy
Adaptive Tanaka-Sugeno fuzzy cerebellar model articulation controller for output tracking control
Knowledge Graph Information Bottleneck for Drug-Drug Interaction Prediction
Sparse heteroscedastic Gaussian process for shortterm wind speed forecasting
Learning Point Processes using Recurrent Graph Network
Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings
The impulse response of BP neural networks and its application to seismic wavelet extraction
Few Features Attack to Fool Machine Learning Models through Mask-based GAN
A New Score Correlation Analysis Multi-class Support Vector Machine for Microarray
An Attention Mechanism Neural Network for Spatiotemporal Network Traffic Data Completion
Low and high level classification using stacking
Neural Network Based Inverse System Identification from Small Data Sets
BSS Toolbox for delayed and convolved mixtures
Prediction of Spatial Spectrum in Cognitive Radio using Cellular Simultaneous Recurrent Networks
Emergent Multilingual Language Acquisition Using Developmental Networks
Contribution-Driven Personalization for Model Heterogeneous Federated Learning
Yet Rapid ICA: Applications to un-indexed image-to-image retrieval
Injecting Commonsense into Object Detection Algorithms
On asymptotic behavior of state trajectories of piecewise-linear recurrent neural networks generating periodic sequence of binary vectors
Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks
Texture classification of the ultrasonic images of rotator cuff diseases based on radial basis function network
BrainGrid+Workbench: High-performance/high-quality neural simulation
Single Channel Continuous Wave Doppler Radar for Differentiating Types of Human Activity
On the efficiency of OLS reduced probabilistic neural networks for aircraft-flare discrimination
The sludge volume index soft sensor model based on PCA-ElmanNN
Stacked deep convolutional auto-encoders for emotion recognition from facial expressions
Online Kernel Canonical Correlation Analysis for Supervised Equalization of Wiener Systems
Celebrities-ReID: A Benchmark for Clothes Variation in Long-Term Person Re-Identification
Perceptron learning in the domain of graphs
Neuro-fuzzy CBR hybridization: Healthcare application
Identification of nonlinear state space models using an MLP network trained by the EM algorithm
Building Efficient Segmentation Models from Large Open-Vocabulary Foundation Models Without Any Labels
Finding the ordered roots of arbitrary polynomials using constrained partitioning neural networks
CMOS digital-analog mixed signal VLSI implementation of a hippocampus-inspired model
Performance of quadratic assignment problem by hopfield NN with periodic brake
On Human Factors for Interactive Man-Machine Vision: Requirements of the Neural Visual System to transform Objects into Percepts
Spatio-Temporal Prediction of Two-Phase Flow in Heterogeneous Reservoirs Using Deep Neural Networks
Knowledge-Enhanced Question Generation Guided by Interrogative Words
Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
Distributionally Robust Games: Wasserstein Metric
Adaptive GCRA-CNN-LSTM: An Enhanced Model for Stock Price Prediction
A Hybrid Bayesian-Heuristic Inference System for Recognition of Gait Phase
Enhanced Anomaly Detection in Dashcam Videos: Dual GAN Approach with Swin-Unet for Optical Flow and Region of Interest Analysis
Deep Learning-based Cooperative Trail Following for Multi-Robot System
Cross-Modal Integrative Feature Network for Sketch-based 3D Shape Retrieval
Sparse Hierarchical Nonparametric Bayesian learning for light field representation and denoising
An intelligent paradigm for electric generator control based on supervisory loops
Deep Reinforcement Learning Based Control of Lower Limb Exoskeleton
Contrastive Co-training for Diversified Recommendation
Computational intelligence techniques for acute leukemia gene expression data classification
Temperature Control in Precalcinator with Dual Heuristic Dynamic Programming
Design of adaptive fuzzy-neural-network control for DC-DC boost converter
Discrete-time recurrent neural DC motor control using Kalman learning
On the fundamental properties of fully quaternionic hopfield network
Phase change memory for synaptic plasticity application in neuromorphic systems
CDNet: Cross-frequency Dual-branch Network for Face Anti-Spoofing
The Parameter to Characterize Chaotic Dynamics
Investor Sentiment Analysis of Financial Texts Based on GPT and RoBERTa
SOAR - Sparse Oracle-based Adaptive Rule extraction: Knowledge extraction from large-scale datasets to detect credit card fraud
Cluster-based Aggregate Load Forecasting with Deep Neural Networks
Sufficient Sampling Method of Ranking Loss for Acne Detection
Deep Learning-Based User Privacy Settings Recommendation in Online Social Networks
The application of neural network soft sensor technology to an advanced control system of distillation operation
Forecast of driving load of hybrid electric vehicles by using discrete cosine transform and Support Vector Machine
Phoneme transcription based on Sampa for Norwegian
CCS-GAD: A Collaborative Contrastive Self-Supervised Learning Model for Graph Anomaly Detection
ADV-ResNet: Residual Network with Controlled Adversarial Regularization for Effective Classification of Practical Time Series Under Training Data Scarcity Problem
Promoting Racial Fairness in Deepfake Face Detection
Function approximation with an orthogonal basis net
An Anchor-Free Detector to Detect Small Objects
Universal Adversarial Perturbations in Epileptic Seizure Detection
A study on exploiting VAT to mitigate ordering effects in Fuzzy ART
Robust controller design of continuous-time nonlinear system using neural network
Balance Control of a Bipedal Robot Utilizing Intuitive Pattern Generators with Extended Normalized Advantage Functions
A biologically-inspired affective model based on cognitive situational appraisal
Neural network based remote sensing image classification in urban area
Forecasting Time Series with a New Architecture for Polynomial Artificial Neural Network
Heterogeneous Multi-Modal Sensor Fusion with Hybrid Attention for Exercise Recognition
Automated Formative Feedback for Short-form Writing: An LLM-Driven Approach and Adoption Analysis
CoReGraph-CR: Credit Rating Method Based On the Corporate Feature Relationship Graph
Can Timing-Based Backpropagation Overcome Single-Spike Restrictions in Spiking Neural Networks?
FGF-Bert: A modified Bert-based approach with a fine-grained feature fusion strategy for Binary Code Similarity Detection
A neural network based multi-associative memory model
Pattern recovery in networks of recursive processing elements with continuous learning
A Learning Method for Synthesizing Spiking Neural Oscillators
Bayesian Neural Networks Uncertainty Quantification with Cubature Rules
CGDC- LSTM: A novel hybrid neural network model for MOOC dropout prediction
MPFDAN: Multi-Perspective Feature Dynamic Adaptation Network for Domain Adaptive Object Detection
Neural inverse optimal control applied to design therapeutic options for patients with COVID-19
SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models
Intelligent approaches in locomotion
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation
Déjà Vu object localization using IRF neural networks properties
Behavioral economics and neuroeconomics: Cooperation, competition, preference, and decision making
Classification of Schizophrenia EEG recording using homological features
A self-aiming camera based on neurophysical principles
Deep Networks with Adaptive Nyström Approximation
Natural neighbor-based clustering algorithm with density peeks
A proposal of learning system with fuzzy rules under large environments
Grokking-like effects in counterfactual inference
RASE: Relationship Aware Social Embedding
Trial map : A visualization approach for verification of stroke impairment assessment database
Detecting differentially aberrant genomic regions in multi-sample array CGH experiments using nearest-neighbor multivariate test
Predictive modeling for default risk using a multilayered feedforward neural network with Bayesian regularization
Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm
Decentralized Incremental Federated Learning with Echo State Networks
Dual-process architecture for reasoning in design innovation problems
Pre-trained Latent Diffusion Model-based Image Enhancement with Cross-Fusion Transformer Network for Expression Recognition
SweetCoat-2D: Two-Dimensional Bangla Spelling Correction and Suggestion Using Levenshtein Edit Distance and String Matching Algorithm
Toward virtual data scientist with visual means
Data complexity measures in feature selection
Confronting machine-learning with neuroscience for neuromorphic architectures design
Adversarially Robust Continual Learning
Cross-Representation Transferability of Adversarial Attacks: From Spectrograms to Audio Waveforms
Face recognition based on sparse representation and error correction SVM
Development of Deep Learning approaches to predict relationships between chemical structures and sweetness
A Structural Transformer with Relative Positions in Trees for Code-to-Sequence Tasks
Dynamic Graph Attention-Aware Networks for Session-Based Recommendation
SimMatch: Similarity threshold matching based framework for Semi-supervised medical image classification
Application of Markov Chain simulation for model calibration
Robust clustering algorithm for high dimensional data classification based on multiple supports
LordBERT: Embedding Long Text by Segment Ordering with BERT
Kernel relative transformation with applications to enhancing locally linear embedding
Integer Self-Organizing Maps for Digital Hardware
Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification
Design and implementation of BCM rule based on spike-timing dependent plasticity
Speaker-independent phoneme recognition on TIMIT database using integrated time-delay neural networks (TDNNs)
Integrating Neural Language Models in Clinical Practice: A Case Study on Chronic Kidney Disease Consultations
WDN-RBF: weighted data normalization for radial basic function type neural networks
Stochastic weight update in the backpropagation algorithm on feed-forward neural networks
Parallelized neural networks as a service
The Neural Network Approach to Automatic Construction of Adaptive Meshes on Multiply-connected Domains
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning
Tree Architecture Pattern Distributor: a task decomposition classification approach
Yet another "optimal" neural representation for combinatorial optimization
Traffic flow breakdown prediction using feature reduction through Rough-Neuro Fuzzy Networks
Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks
Domain Translation via Latent Space Mapping
Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles
Extremely parallel memristor crossbar architecture for convolutional neural network implementation
HKFNet: Fine-Grained External Knowledge Fusion for Fact-Based Visual Question Answering
Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography
Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks
A Novel Loss Incorporating Residual Signal Information for Target Speaker Extraction Under Low-SNR Conditions
Visually-guided adaptive robot (ViGuAR)
Pose invariance through registration for hierarchical feature based pattern recognition systems
A High-Dimensional Temporal Data Publishing Method Based on Dynamic Bayesian Networks and Differential Privacy
User Identification across Social Networking Sites using User Profiles and Posting Patterns
A Decomposition Framework for Class Incremental Text Classification with Dual Prompt Tuning
Optimizing drug therapy with Reinforcement Learning: The case of Anemia Management
IEAgent: A Zero-Shot Information Extraction Agent with Knowledge RAG for Unstructured Data
Neural Architecture Generation via Contrastive Representation Learning
Low-voltage pseudo floating-gate reconfigurable linear threshold elements
SCAN: Stronger Collaborative Attention Network for Vehicle Re-Identification
Hypergraph Neural Network Hawkes Process
A Note on the Fractional-Order Cellular Neural Networks
A model auto-selection financial data simulation software using neuron-adaptive feedforward neural networks
Joint Representation Learning with Deep Quadruplet Network for Real-Time Visual Tracking
Opposition-Based Q(lambda) Algorithm
An examination of the application of multi-layer neural networks to audio signal processing
Musical notes classification with neuromorphic auditory system using FPGA and a convolutional spiking network
An intelligent multi-feature statistical approach for discrimination of driving conditions of hybrid electric vehicle
Single-layered complex-valued neural networks and their ensembles for real-valued classification problems
Generalized Neural Framework for Learning with Rejection
Design study of efficient digital order-based STDP neuron implementations for extracting temporal features
A hierarchical neuro-fuzzy system based on S-implications
Learning from wireless: A prospective approach to Human-Centered Computing
Large scale spatial temporal data visualization based on spark and 3D volume rendering
EdgeNet for efficient scene graph classification
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network
Designing a Neural Network Decision System for Automated Insurance Underwriting
Multi-sensor data fusion based on dynamic fuzzy neural network
Hierarchical dynamic neural networks for cascade system modeling with application to wastewater treatment
HDDA: Human-perception-centric Deepfake Detection Adapter
AORS: Affinity-based outlier ranking score
How to prevent spurious data in a chaotic brain
Edge Prior and Spatial Attention Fusion Enhanced Hierarchical Multi-Patch Network for Image Deblurring
Modeling of vertical mill raw meal grinding process and optimal setting of operating parameters based on wavelet neural network
Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks