yusuke1997/dblp-id-title huggingface dataset:
Biologically plausible feature selection through relative correlation
ROVER: Autonomous Open-Vocabulary Object Searching in Unexplored Environments Using VLM-Driven Scene Understanding
Applications of multilayer feedforward networks on WWW document search
Exploiting Spatial-Temporal Joint Information from the Frequency Domain for Multivariate Time Series Forecasting
Predicting body measures from 2D images using Convolutional Neural Networks
Exploring the design space of specialized multicore neural processors
TETRAA - Trained and Selective Transmutation of Encoder-based Adversarial Attack
LogLLaMA: Transformer-based log anomaly detection with LLaMA
Mixture modeling with compact support distributions for unsupervised learning
End-to-end Network for Monocular Visual Odometry Based on Image Sequence
Tagging Chinese microblogger via sparse feature selection
Learning to interact and interacting to learn: Active statistical learning in human-robot interaction
Bilevel Continual Learning
Efficient Learning of Data Distribution using Simultaneous Recurrent Belief Network
Controllable style transfer of ink painting textures via contrastive learning
Online Max-flow Learning via Augmenting and De-augmenting Path
Attacking RAG Systems in Multiple Domains with Locally Running and Automatic Procedures
Bubbles in the robot
Advancing RFI-Detection in Radio Astronomy with Liquid State Machines
Power Pooling: An Adaptive Pooling Function for Weakly Labelled Sound Event Detection
A hybrid batch SOM-NG algorithm
Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation
ETIV: Embedding Temporal Network via Interest Vector
Comparison of four support-vector based function approximators
A Music Recommendation System Based on logistic regression and eXtreme Gradient Boosting
SVD truncation schemes for fixed-size kernel models
A columnar V1/V2 visual cortex model and emulation using a PS3 cell-BE array
Object Classification in Thermal Images using Convolutional Neural Networks for Search and Rescue Missions with Unmanned Aerial Systems
Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy
Unsupervised Deep Hashing via Sample Weighted Contrastive Learning
Directed Perturbations for Efficient Learning of Surrogate Losses
Stationarity and nonstationarity in a self-organizing information system with primitive intentions
Spatial SVM for feature selection and fMRI activation detection
A generation method of substantially seeded rights unbalancing in a tournament-type match table by the frame of balanced 2-3-4 trees structure
Analysis of spatial nonlinear responses in cortical complex cells
Calibration-less detection of steady-state visual evoked potentials-comparisons and combinations of methods
Clustering-based feature selection for black-box weather temperature prediction
Identification of meat spoilage by FTIR spectroscopy and neural networks
Knowledge Processing System Using Improved Chaotic Associative Memory
Marrying Convolution and Transformer for COVID-19 Diagnosis Based on CT Scans
A Neural Network based Technique for Automatic Classification of Road Cracks
TRRD: Enabling Accurate and Reliable Retrieval of Time-sensitive Information
Automatic Cataract Detection with Multi-Task Learning
Bas-reliefs modelling based on learning deformable 3D models
The learning algorithm based on multiresolution analysis for neural networks
Extracting Temporal Correlations Using Hierarchical Spatio-Temporal Feature Maps
20 Million-Dollar Problems for Any Brain Models and a Holistic Solution: Conscious Learning
Convolutional gated recurrent neural network incorporating spatial features for audio tagging
An empirical study of the sample size variability of optimal active learning using Gaussian process regression
Anomaly detection based on indicators aggregation
Knowledge Base Entity Typing From Text via Entity-Aware Heterogeneous Graph Attention Network
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response
Modulo Video Recovery via Selective Spatiotemporal Vision Transformer
AfriWOZ: Corpus for Exploiting Cross-Lingual Transfer for Dialogue Generation in Low-Resource, African Languages
Extending the functional training approach for B-splines
Multi-Stage Feature Fusion Network for infrared and visible image fusion
A rough-fuzzy hybrid approach on a Neuro-Fuzzy classifier for high dimensional data
Robust Barrier-Certified Safe Learning-based Adaptive Control for Multi-Agent Systems in Presence of Uncertain Environments
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations
Ant colony optimization for the design of Modular Neural Networks in pattern recognition
Statistical approach to unsupervised recognition of spatio-temporal patterns by spiking neurons
NPBD: Neighbor Pattern-Based Backdoor Detection for Node Classifiers
Spectral Bounds for Graph Echo State Network Stability
A hierarchical SVM based multiclass classification by using similarity clustering
A Hierarchical Convolutional Neural Network for Malware Classification
Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking
Analysis of equine gaitprint and other gait characteristics using self-organizing maps (SOM)
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation
The development of a hybrid, distributed architecture for multiagent systems and its application in robot soccer
Backward Varilable Selection of Support Vector Regressors by Block Deletion
Design and synthesis methods for cellular neural networks
Unsupervised gene selection via spectral biclustering
LogReader: General-Purpose Log Analysis via Open-Source Large Language Models
A Robust De-noising Method via Training Loss for Distantly Supervised Relation Extraction
Power system reduced model by artificial neural networks
Direct adaptive control of a four-rotor helicopter using disturbance observer
A Hierarchical Reinforcement Learning Framework for Stock Selection and Portfolio
Robust Principal Component Analysis via Truncated $L_{1-2}$ Minimization
HyperDiscover: Advancing Scientific Discovery through Concept Co-occurrence and Hypergraph Neural Networks
Reconstructing Abstract Concepts and their Blends Via Computational Cognitive Modeling
Cross-Subject Decision Confidence Estimation from EEG Signals Using Spectral-Spatial-Temporal Adaptive GCN with Domain Adaptation
GenCNER: A Generative Framework for Continual Named Entity Recognition
Hyperparameters of Gaussian process as features for trajectory classification
Robustness in Compressed Neural Networks for Object Detection
Preprocessing unbalanced data using weighted support vector machines for prediction of heart disease in children
Representing and decoding rank order codes using polychronization in a network of spiking neurons
Rank and Sort Loss-Aware Label Assignment with Centroid Prior for Dense Object Detection
Object Detection by Integrating Scene-Level Semantic Information and Border Regression Reinforcement
TCSVM - A Cascade Approach with Transductive Inference to Predicting Protein Translation Initiation Site
Multimodal Event-based Task Load Estimation from Wearables
Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering
Exponential stability of periodic solution of impulsive fuzzy BAM neural networks with time-varying delays
Patch-Based Graph Neural Network for Autism Classification via Eye Gaze Analysis
Cosine radial basis function neural networks
Improving Generalization of Medical Image Registration Foundation Model
Exploration Techniques in Active Learning in Classification
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning
RecLGB: Enhancing LightGBM using Recursive VAE with Mixed Attention for Time-Series Forecasting
A CMOS neuromorphic approach to emulate neuro-astrocyte interactions
Using a Gaussian mixture neural network for incremental learning and robotics
Filling Missing Labels in Label Distribution Learning by Exploiting Label-Specific Feature Selection
Active transfer learning and selective instance transfer with active learning for motor imagery based BCI
Lyapunov filtering of objectivity for Spanish Sentiment Model
Adaptive stabilized multi-RBF kernel for Support Vector Regression
What Speech Tells Us About Discourse: The Role of Prosodic and Discourse Features in Speech Act Classification
Design and optimization of a Neural Network-based driver recognition system by means of a multiobjective genetic algorithm
PRJack: Pruning-Resistant Model Hijacking Attack Against Deep Learning Models
Enhanced Emotion Recognition Through Multimodal Fusion Using TriModal Fusion Graph Convolutional Networks
Inhomogeneous Interest Modeling via Hypergraph Convolutional Networks for Social Recommendation
Automatic inferring drug gene regulatory networks with missing information using neural networks and genetic programming
3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image
Comparative study of connectionist techniques for implementing the pattern recognition system of an artificial nose
Vertically-nested Network for Automatic Vessel Segmentation
Creation of long-term mental representations using the dimension of fractal dendrites
Convergence of Direct Heuristic Dynamic Programming in Power System Stability Control
New results on binary auto- and heteroassociative morphological memories
Mesh Construction with Fast Soft Vector Quantization
HiddenSpeaker: Generate Imperceptible Unlearnable Audios for Speaker Verification System
The Improved Correlation Matrix Memory (CMML)
Optimal self-learning control scheme for discrete-time nonlinear systems using local value iteration
Targeted Black-Box Adversarial Attack Method for Image Classification Models
Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering Human Perceptual Variability on Facial Expressions
Deep Reinforcement Learning with Successive Over-Relaxation and its Application in Autoscaling Cloud Resources
Analysis of Two Various Approaches for Attributes Classification Based on User-Submitted Photos
Continual Horizontal Federated Learning for Heterogeneous Data
Self-Learning Method of Traversability Perception using ATC-DT for an Autonomous Mobile Robot
Domain Dynamics in Hopfield Model
Computer-Aided COVID-19 Screening from Chest CT-Scan using a Fuzzy Ensemble-based Technique
Diagonally weighted and shifted criteria for minor and principal component extraction
E 2 CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning
An ICA algorithm with adaptive-learned polynomial nonlinearity for signal separation
The added value of gating in evolved neurocontrollers
Kernel spectral document clustering using unsupervised precision-recall metrics
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection
Mitigating Q-Value Overestimation through Latent Causal Modeling in Deep Reinforcement Learning
GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts
Robust local principal component analyzer with fuzzy clustering
Interactive Quantum Classifier Inspired by Quantum Open System Theory
Simplified nonlinear principal component analysis
Self-supervised Depth Estimation from Spectral Consistency and Novel View Synthesis
V 2 AD: A Dual-View Graph Representation Learning Framework For Multivariate Time Series Anomaly Detection
Comprehensive study of features for subject-independent emotion recognition
CoCF: Consistent Selection and Flexible Masking for Learning with Noisy Labels
Preference Learning for Category-Ranking based Interactive Text Categorization
Basic property of a quantum neural network composed of Kane's qubits
Time Dissociative Characteristics of Numerical Inductive Reasoning: Behavioral and ERP Evidence
Attributed Graph Clustering with Double Contrastive Projector
Clustering of Astronomical Transient Candidates Using Deep Variational Embedding
Generating New Patterns for Information Gain and Improved Neural Network Learning
Deep Boltzmann machines for robust fingerprint spoofing attack detection
Identity-linked Group Channel Pruning for Deep Neural Networks
The impact of the error function selection in neural network-based classifiers
Effect of non-target examples on E.coli promoters recognition using neural networks
FW-ECPE: An Emotion-Cause Pair Extraction Model Based on Fusion Word Vectors
Perception and Cognition Matters: A new light on sentiment analysis task
Generating structure in sensory data through coordinated motor activity
LMI formulation for multiobjective learning in Radial Basis Function neural networks
A Strategic Weight Refinement Maneuver for Convolutional Neural Networks
An application of quantum-inspired particle swarm optimization to function optimization problems
Optimizing Mongolian Abstractive Summarization with Semantic Consistency Enhancement
Saliency Guided Discriminative Learning for Insect Pest Recognition
Adaptive washout filter design with human visual-vestibular based (HVVB) for VR-based motion simulator
Neural network models for fabric drape prediction
Improving small object detection with DETRAug
An Effective Dual-Scale Hybrid Encoder Network for Medical Image Segmentation
Confidence of SVM Predictions using a Strangeness Measure
TLMIX: Twin Leader Mixing Network for Cooperative Multi-Agent Reinforcement Learning
Approach to recognition of license plate numbers using neural networks
A SOM projection technique with the growing structure for visualizing high-dimensional data
Activity recognition using body mounted sensors: An unsupervised learning based approach
A learning rule for CAM storage of continuous periodic sequences
Sparseness and a reduction from Totally Nonnegative Least Squares to SVM
SECMG: Style Enhancement Commit Message Generation
Error-Guided Likelihood-Free MCMC
Discrete-time recurrent high order neural observer for activated sludge wastewater treatment
A comparison of genetic and particle swarm optimization for contact formation in high-performance silicon solar cells
Using Social Media Background to Improve Cold-Start Recommendation Deep Models
Detector ensembles for face recognition in video surveillance
A loss function for classification based on a robust similarity metric
Paired neural network with negatively correlated features for cancer classification in DNA gene expression profiles
HierRL: Hierarchical Reinforcement Learning for Task Scheduling in Distributed Systems
Knowledge selection with neural networks
Combining convolutional side-outputs for road image segmentation
KSINet: Keypoint-Enhanced Single-Head Inference for Sitting Posture Recognition
Prostate Segmentation using 2D Bridged U-net
Identifying Bias in Data Collection: A Case Study on Drugs Distribution
Deep learning and block Go
WaveletLoc: A Lightweight Deep Learning Model for Indoor Positioning Based on Wavelet Transform
Evaluation of machine learning methods to predict knee loading from the movement of body segments
Analysis of transients on basis of identification of signal generative structure: Even unto chaos
Robust estimation of human posture using incremental learnable Self-Organizing Map
The Online Models based Fault Tolerant Control for Multiple Sensor Fault of Multi-variable Nonlinear Processes
Optimizing Aspect Ratio and Angle Predictions for Rotated Object Detection via GWD Loss
Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings
MOLE: Provenance Graph Generation Framework Based on LLM Prompting
Application of cooperative neuro-evolution of Elman recurrent networks for a two-dimensional cyclone track prediction for the south pacific region
FSC-MOT: Fusion and Shake Compensation for Robust Multi-Object Tracking
VICount: Device-free Crowd Counting System Using WiFi Signals
A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder
Atmospheric Thermodynamic Profiling with Neural Networks
A Network Latency Prediction Method Based on Sequence Decomposition and GNN
MicroARTMAP: Use of Mutual Information for Category Reduction in Fuzzy ARTMAP
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks
On HR calculus, quaternion valued stochastic gradient, and adaptive three dimensional wind forecasting
Back-Propagation Learning in Real Autonomous Mobile Robot Using Proximal and Distal Evaluation of Behavior
Leveraging Explainability of AI-Based Intrusion Detection Systems in a Federated Environment
A distributed, bio-inspired coordination strategy for multiple agent systems applied to surveillance tasks in unknown environments
Reducing the run-time complexity of support vector data descriptions
Exploring chemical space with computers: challenges and opportunities
UnrealFall: Overcoming Data Scarcity through Generative Models
OWAS-DRL: Online Workflow Application Scheduling in Dynamic Mobile Edge Computing with Deep Reinforcement Learning
Face the Truth: Interpretable Emotion Genuineness Detection
Using semi-supervised learning in multi-label classification problems
Fast Probabilistic Policy Reuse via Reward Function Fitting
The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms
Music recommendation and query-by-content using Self-Organizing Maps
Enhancing Self-Supervised Speaker Verification Using Similarity-Connected Graphs and GCN
Dynamic logistic regression
Adaptive memetic algorithm for the job shop scheduling problem
Object Detection in Remote Sensing Images Based on Knowledge Graph and Visual Attention
Improved propensity matching for heart failure using neural gas and self-organizing maps
Acquisition of visual features through probabilistic spike-timing-dependent plasticity
Salient objects detection in time sequenced images
Robust Individual Sensor Placement by Means of Domain-informed Adversarial Training
UMGen: Multi-scale and Multi-region Joint Prediction Pipeline for Uveal Melanoma Prognosis-related Gene Subtyping
Transfer Learning in Decision Trees
A new adaptive maneuvering target tracking algorithm using artificial neural Networks
Kernel Fisher Discriminants and Kernel Nearest Neighbor Classifiers: A Comparative Study for Large-Scale Learning Problems
Adaptive dynamic programming for a class of discrete-time non-affine nonlinear systems with time-delays
A Variational EM Approach to Predicting Uncertainty in Supervised Learning
Wavelet packet feature extraction for vibration monitoring
Centroid neural network for face recognition
Evaluation function optimization for the genetic algorithm based tuning of NN-ANARX model structure
Lesion Boundary-Aware Adaptation of Segment Anything Model for 2D Medical Image
A convergent and fully distributable SVMs training algorithm
An Efficient Framework by Topic Model for Multi-label Text Classification
Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems
Preconditioning method to accelerate neural networks gradient training algorithms
Closed-form cauchy-schwarz PDF divergence for mixture of Gaussians
Learning Multi-Graph Neural Network for Data-Driven Job Skill Prediction
Biclustering ARTMAP collaborative filtering recommender system
Fetal electrocardiogram extraction and R-peak detection for fetal heart rate monitoring using artificial neural network and Correlation
Efficient Convolutional Neural Networks for Multi-Spectral Image Classification
Selecting target concept in one-class classification for handling class imbalance problem
Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks
Identification and control of time-varying plants using type-2 fuzzy neural system
Model-free adaptive dynamic programming for online optimal solution of the unknown nonlinear zero-sum differential game
Evaluating Adversarial Attacks and Defences in Infrared Deep Learning Monitoring Systems
Estimation of cutting torque in drilling system based on flexible neural network
Gender-based approach to estimate the human body fat percentage using Machine Learning
Synergy of artificial neural networks and knowledge-based expert systems for intelligent FMS scheduling
Epic-Level Text Generation with LLM through Auto-prompted Reinforcement Learning
Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates
Automatic Content-Based Image Retrieval Using Hierarchical Clustering Algorithms
Using multiple measures to predict confidence in instance classification
Hierarchical discriminative sparse coding via bidirectional connections
Neural signal-detection noise benefits based on error probability
A spiking neuronal network model of the dorsal raphe nucleus
BSA, a fast and accurate spike train encoding scheme
Multi-label Classification of Surgical Tools with Convolutional Neural Networks
High-speed Bi-directional Function Approximation using Plausible Neural Networks
Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification
Dealing with highly imbalanced textual data gathered into similar classes
Locality Guided Neural Networks for Explainable Artificial Intelligence
Cryptography using artificial intelligence
Robust control system design by use of neural networks and its application to UAV flight control
Neural control system of a mobile robot
Co-Trained Random Vector Functional Link Network
FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection
Identification of EEG signals in epilepsy by cell outputs of Reaction-Diffusion Networks
Shape deformation descriptor using Fourier analysis
Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition
Radon features and barcodes for medical image retrieval via SVM
MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment
Joint Graph-Sequence Learning for Molecular Property Prediction
Towards Automatic Rule Extraction for Intrusion Detection with Explainable AI
A self-adaptive connectionist shortest-path algorithm utilizing relaxation methods
Online Knowledge Distillation with History-Aware Teachers
Model this! Seven empirical phenomena missing in the models of cortical oscillatory dynamics
Alignment-based transfer learning for robot models
PSNet: A Multi-Period and Multi-Scale Model for Long-term Time Series Forecasting
Classifying hemodynamics of MR brain perfusion images using independent component analysis (ICA)
Multi-Label Local-to-Global Feature Selection
Fine-Grained Meta-Learning with Semantic Augmentation for SAR Change Detection
XGBoost6mA: A Framework for 6mA Site Prediction Based on Deep Learning and XGBoost
LogitBoost with Trees Applied to the WCCI 2006 Performance Prediction Challenge Datasets
Graph Convolution over the Semantic-syntactic Hybrid Graph Enhanced by Affective Knowledge for Aspect-level Sentiment Classification
Exploring Effective DNN Models for Forensic Age Estimation based on Panoramic Radiograph Images
A PC-based neural network for recognition of difficult syllables using LPC coefficient difference
Cross-Modal Music-Video Recommendation: A Study of Design Choices
Classification of plantar pressure and heel acceleration patterns using neural networks
Object-shape recognition from tactile images using a feed-forward neural network
A Deep Learning Approach to Classify Aspect-Level Sentiment using Small Datasets
Expanding the Go/NoGo depiction of the action of Basal Ganglia pathways
Batch-Learning Self-Organizing Map with false-neighbor degree between neurons
PAROD: Real-time High-resolution Object Detection in Outdoor Scenes via Parallel Edge Offloading of Regions of Interest
Identification of improper processes by variable tap-length complex-valued adaptive filters
Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
Signaling pathways coupling phenomena
ICA photographic encoding gear: image bases towards IPEG
Goal-directed feature learning
Scalable, incremental learning with MapReduce parallelization for cell detection in high-resolution 3D microscopy data
Ordinal-based metric learning for learning using privileged information
Depth-Controllable Very Deep Super-Resolution Network
Improved Hierarchical Clustering with Non-locally Enhanced Features for Unsupervised Person Re-identification