yusuke1997/dblp-id-title huggingface dataset:
A Content-based Skincare Product Recommendation System
Using Genetic Algorithm for Finding Switching Angles of a Single-Phase Multilevel DC/AC Converter on Solar Modules
Regularized Supervised Topic Model for Continuous Emotion Analysis
Proceedings of the 2003 International Conference on Machine Learning and Applications - ICMLA 2003, June 23-24, 2003, Los Angeles, California, USA
Decision Level Fusion of Wavelet Features for Ocean Turbine State Detection
Equipment Condition Diagnosis and Fault Fingerprint Extraction in Semiconductor Manufacturing
Multilinear Discriminant Analysis Through Tensor-Tensor Eigendecomposition
Hybrid Wavelet Transform and Deep Stacking Ensemble Model for Network Traffic Prediction
Multi-Class Object Detection Using 2D Poses
Understanding Early Childhood Obesity via Interpretation of Machine Learning Model Predictions
Learning in Dynamic Environments: Application to the Identification of Hybrid Dynamic Systems
Transient Characteristics of DC-DC Converter with PID Parameters Selection and Neural Network Control
Anomaly Detection in Unsupervised Surveillance Setting Using Ensemble of Multimodal Data with Adversarial Defense
Recurrent Neural Networks Based Obesity Status Prediction Using Activity Data
Inferring Gene Regulatory Networks by Combining Supervised and Unsupervised Methods
Estimation of Gaussian Mixtures from Moments
Predictable Feature Analysis
Depth of anaesthesia assessment with generative polyspectral models
Faults Investigation of Transformer Windings Using the Frequency Response Analysis FRA
Class-wise and reduced calibration methods
Partially Detected Intelligent Traffic Signal Control: Environmental Adaptation
Improving Features for Multiple Sclerosis Disability Progression Prediction Through Temporal Alignment of Hospital Visits
Intelligent Electronic Navigational Aids: A New Approach
UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data
Monitoring and Determination of Wind Energy Potential by Web Based Wireless Network
The Consolidation of Neural Network Task Knowledge
Faster Gated Recurrent Units via Conditional Computation
Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation
Implementation of PGAs in conjunction with fuzzy algorithm
CAE: Towards Crowd Anarchism Exploration
Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural Network
Epilepsy, a Cyberattack on Brains' Networked Control System
Energy Efficient Learning Algorithms for Glaucoma Diagnosis
An Empirical Study on Structured Dichotomies in Music Genre Classification
Bidirectional Backpropagation for High-Capacity Blocking Networks
Mood Classification with Lyrics and ConvNets
Macro-action Discovery Based on Change Point Detection and Boosting
Scalable Deep Learning for Stress and Affect Detection on Resource-Constrained Devices
SwiftLane: Towards Fast and Efficient Lane Detection
A Formal Design for the Lexical and Syntax Analyzer of a Pedagogically Effective Subset of C++
Convolutional Classification of Pathogenicity in H5 Avian Influenza Strains
DECOBA: Utilizing Developers Communities in Bug Assignment
On the Trade-off Between Benefit and Contribution for Clients in Federated Learning in Healthcare
Component Based Architecture for the Control of Crossing Regions in Railway Networks
Manifold Learning and Recognition of Human Activity Using Body-Area Sensors
Data Augmentation for Emotion Detection in Small Imbalanced Text Data
A New Cyber Security Alert System for Twitter
An Intelligent Technique for Detecting Malicious Users on Mobile Stores
A Boosting Method for Learning from Uneven Data for Improved Face Recognition
Farthest Centroids Divisive Clustering
A Multi-label and Adaptive Genre Classification of Web Pages
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency
Universal Thompson Sampling
A Neural Network Approach to Multi-step-ahead, Short-Term Wind Speed Forecasting
A Semi-supervised Clustering Approach for Semantic Slot Labelling
Document Clustering for Forensic Computing: An Approach for Improving Computer Inspection
Intelligent Bus Stop Identification Using Smartphone Sensors
Sparsity regularization path for semi-supervised SVM
Attribute selection methods comparison for classification of diffuse large B-cell lymphoma
A Study of Distance Functions in FastMapSVM for Classifying Seismograms
A Multimodel Approach of Complex Systems Identification and Control Using Neural and Fuzzy Clustering Algorithms
Efficient label propagation for interactive image segmentation
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation
On-Line Incremental Learning for Unknown Conditions during Assembly Operations with Robots
Dimensionality Reduction in Gene Expression Database through the Random Projection Method
A Collaborative Filtering Approach to Successfully Completing The Marathon
Active Learning of Markov Decision Processes using Baum-Welch algorithm
Anomaly Detection with Conditional Variational Autoencoders
PollenGAN: Synthetic Pollen Grain Image Generation for Data Augmentation
Effect of synaptic weight assignment on spiking neuron response
An Empirical Study on Class Rarity in Big Data
A Novel Application of Naive Bayes Classifier in Photovoltaic Energy Prediction
Sequence Model-based End-to-End Solar Flare Classification from Multivariate Time Series Data
Parameter-Efficient Harmonic Networks for JPEG Compression Artifact Removal
A Fully Automatic Crossword Generator
Smoothing Gene Expression Using Biological Networks
PLSR: Unstructured Pruning with Layer-Wise Sparsity Ratio
The Importance of Outlier Relationships in Mobile Call Graphs
Mining Clusters in XML Corpora Based on Bayesian Generative Topic Modeling
Video Copy Detection Using Temporally Informative Representative Images
Fast Discriminative Linear Models for Scalable Video Tagging
Conditioned Cycles in Sparse Data Domains: Applications to Electromagnetics
Improving Robustness of Gaussian Process-Based Inferential Control System Using Kernel Principle Component Analysis
Revisiting Knowledge Graph Embedding: An Alternative Solution to Biased Visual Scene Graphs
Applying Reinforcement Learning and Supervised Learning Techniques to Play Hearthstone
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation
On The Application of Domain Adversarial Neural Network to Fault Detection and Isolation in Power Plants
Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities
Two-phase Parallel Learning to Identify Similar Structures Among Relational Databases
Connecting the Semantic Dots: Zero-shot Learning with Self-Aligning Autoencoders and a New Contrastive-Loss for Negative Sampling
Forecasting Domestic Hot Water Demand in Residential House Using Artificial Neural Networks
Learning hidden Markov models from the state distribution oracle
iClass: Combining Multiple Multi-label Classification with Expert Knowledge
Mitigating Unfair Regression in Machine Learning Model Updates
Enhancing Efficiency and Privacy in Memory-Based Malware Classification Through Feature Selection
Schemes for Labeling Semantic Code Clones using Machine Learning
Deep Learning-based Symbolic Indoor Positioning using the Serving eNodeB
Learning to Block Undesired Comments in the Blogosphere
A Fast Multi-component Latent Variable Regression Framework for Quantitative Analysis of Surface-Enhanced Raman Spectra
Classification of Eye Tracking Data Using a Convolutional Neural Network
A New Prediction Based Digital Control DC-DC Converter
A Data-Efficient Reinforcement Learning Method Based on Local Koopman Operators
Evaluation of Few-Shot Learning Algorithms, Training Methods, Backbones and Learning Task for Crack Detection in Manufacturing
Detecting Important Drivers of Gridded Population Modeling With Machine Learning
CNN-JEPA: Self-Supervised Pretraining Convolutional Neural Networks Using Joint Embedding Predictive Architecture
Substitution matrix based kernel functions for protein secondary structure prediction
Inferring Hearing Loss from Learned Speech Kernels
On Analyzing COVID-19-related Hate Speech Using BERT Attention
What are they Researching? Examining Industry-Based Doctoral Dissertation Research through the Lens of Machine Learning
Donor Selection for Hematopoietic Stem Cell Transplant Using Cost-Sensitive SVM
Probabilistic Models for One-Day Ahead Solar Irradiance Forecasting in Renewable Energy Applications
Biomarker Identification by Knowledge-Driven Multi-Level ICA and Motif Analysis
CCDLC Detection Framework-Combining Clustering with Deep Learning Classification for Semantic Clones
Superposed Naive Bayes for Accurate and Interpretable Prediction
Handling Large Volumes of Mined Knowledge with a Self-Reconfigurable Topology on Distributed Systems
Streaming Malware Classification in the Presence of Concept Drift and Class Imbalance
A Comprehension Approach for Formalizing Privacy Rules of HIPAA for Decision Support
LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network
A Lock Contention Classifier Based on Java Lock Contention Anti-Patterns
Home Appliance Energy Disaggregation Using Low Frequency Data and Machine Learning Classifiers
Entropy-Based Defuzzification Method with Expert's Epistemic Uncertainty for Deteriorating Repairable Systems
Learning-Based Attitude Estimation with Noisy Measurements and Unknown Gyro Bias
Learning: An Effective Approach in Endgame Chess Board Evaluation
An Efficient Constraint-Based Closed Set Mining Algorithm
Writer identification for historical handwritten documents using a single feature extraction method
Development of an Ontology of Learning Strategies and its Application to Generate Open Learner Models
Towards Physically Consistent Deep Learning For Climate Model Parameterizations
Jensen-Shannon Divergence in Ensembles of Concurrently-Trained Neural Networks
Combining Gene Expression Profiles and Protein-Protein Interactions for Identifying Functional Modules
Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics
A spline based regression technique on interval valued noisy data
Interpretation Method of Nonlinear Multilayer Principal Component Analysis by Using Sparsity and Hierarchical Clustering
Massive GIS Database System with Autonomic Resource Management
Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations
Medical Dynamic Data Series Prediction Using Neural Network Methods
Online Ensemble Learning Approach for Server Workload Prediction in Large Datacenters
A Neural Network Based Kidney Segmentation from MR Images
Comparison of Pre-Trained Word Vectors for Arabic Text Classification Using Deep Learning Approach
Data mining for security applications
A Proposal of a Methodological Framework with Experimental Guidelines to Investigate Clustering Stability on Financial Time Series
Multiple Nonlinear Subspace Methods Using Subspace-based Support Vector Machines
A Neural Network Approach to Derive the Horizontal Spaces in Typefaces
A Robust Approach to Fine-tune Pre-trained Transformer-based models for Text Summarization through Latent Space Compression
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain
Injury Risk Prediction in Soccer Using Machine Learning
Evolutionary Algorithm Based Data Mining for Fuzzy Rules
Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data
One-Shot Periodic Activity Recognition Using Convolutional Neural Networks
Unifying Robust Activation Functions for Reduced Adversarial Vulnerability with the Parametric Generalized Gamma Function
Cost-Sensitive Universum-SVM
A Code-Centric Cluster-Based Approach for Searching Online Support Forums for Programmers
Shapley Value Approximation with Divisive Clustering
Probabilistic clustering based on Langevin mixture
Classification of Evolving Data Streams with Infinitely Delayed Labels
On the Scalability of Supervised Learners in Metagenomics
A Non-parametric Hidden Markov Clustering Model with Applications to Time Varying User Activity Analysis
Control of Doubly-Fed Induction Generator System Using PIDNNs
CCVAE: A Variational Autoencoder for Handling Censored Covariates
Probabilistic Expert Systems for Reasoning in Clinical Depressive Disorders
On the Behaviour of Scalarization Methods for the Engagement of a Wet Clutch
Applying Permutation Tests for Assessing the Statistical Significance of Wrapper Based Feature Selection
SVM-Based Segmentation of Home Appliance Energy Measurements
Automatic Behavior Learning for Personalized Assisted Living Systems
Predicting Futures Market Movement using Deep Neural Networks
Temporal Dynamics of Classroom Stress: Insights from Wearable Sensors and Machine Learning
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Stacking Methods for Hierarchical Classification
Looking for the Best Fit of a Function over Circadian Rhythm Data
System Identification with Multi-Agent-based Evolutionary Computation Using a Local Optimization Kernel
Pre-train. Mixup and Fine-tune: A Simple Strategy to Handle Domain Shift
Enhancing Inference in Relational Reinforcement Learning Via Truth Maintenance Systems
Prediction of Foreign Exchange Market States with Support Vector Machine
$\alpha$ - Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing
Blood Glucose Level Prediction Using Physiological Models and Support Vector Regression
Nonlinear Dimensionality Reduction by Unit Ball Embedding (UBE) and Its Application to Image Clustering
Future Clients' Requests Estimation for Dynamic Resource Allocation in Cloud Data Center Using CGPANN
Predicting Temporal Patterns in Keyword Searches with Recurrent Neural Networks - Phenotyping Human Behaviour from Search Engine Usage
An Integrated Machine Learning and Case-Based Reasoning Approach to Answer Validation
Adaptive Extended Local Ternary Pattern (AELTP) for Recognizing Avatar Faces
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
Autonomous navigation using neural networks
The Upper and Lower Bounds of the Prediction Accuracies of Ensemble Methods for Binary Classification
Similarity search in time series databases using moments
Sequential Logistic Principal Component Analysis (SLPCA): Dimensional Reduction in Streaming Multivariate Binary-State System
Supervised Machine Learning Approach for Effective Supplier Classification
Sentiment Analysis of StockTwits Using Transformer Models
Enhanced Anisotropic Diffusion-based CNN-LSTM Architecture for Video Face Liveness Detection
An Automatic Multi-domain Thesauri Construction Method Based on LDA
Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning
Advanced Pattern Recognition Approach for Fault Diagnosis of Wind Turbines
Video Anomaly Detection Using Dual Discriminator Based Generative Adversarial Network
eQTL Mapping Study via Regularized Sparse Canonical Correlation Analysis
Selection of Classifier and Feature Selection Method for Microarray Data
TASOM-based lip tracking using the color and geometry of the face
W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series Forecasting
SEATTNET: UNET Enhanced with Squeeze-Excited Attention Gates for Ice-Calving Front Segmentation
A Machine Learning Approach to Combining Individual Strength and Team Features for Team Recommendation
Transfer Learning for Bayesian Optimization with Principal Component Analysis
Improving Accuracy in the Montgomery County Corrections Program Using Case-Based Reasoning
Learning Disambiguation of Hindi Morpheme 'vaalaa' with a Sparse Corpus
Maintaining Prior Distributions across Evolving Eigenspaces: An Application to Portfolio Construction
Investigating Input and Output Units in Diacritic Restoration
Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors
PENet: Object Detection Using Points Estimation in High Definition Aerial Images
A Resource Entity Model Oriented Mobile Collaboration Environment
LEONARDO - The computational intelligence (CI) model selection wizard
Learning Context-Based Outcomes for Mobile Robots in Unstructured Indoor Environments
Predicting Employer Recruitment of Individuals with Autism Spectrum Disorders with Decision Trees
Ensemble Feature Selection in Face Recognition: ICMLA 2012 Challenge
Accelerating Real-Time Imaging for Radiotherapy: Leveraging Multi-GPU Training with PyTorch
A Learning Framework for Control-Oriented Modeling of Buildings
Empirical Normalization for Quadratic Discriminant Analysis and Classifying Cancer Subtypes
A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy Models
A Contrastive Learning Approach to Auroral Identification and Classification
CPG and Reflexes Combined Adaptive Walking Control for AIBO
Kernel ridge reconstruction for anomaly detection: general and low computational reconstruction
Summary Sentence Classification Using Stylometry
A Support Vector Classification Model with Partial Empirical Risks Given
Estimating the Convection Heat Transfer Coefficient of a Run-Out Cooling Table in a Steel-Making Process by Neural Networks
Prediction of Time-Varying Musical Mood Distributions Using Kalman Filtering
Modified Grouped Convolution-Based EfficientNet Deep Learning Architecture for Apple Disease Detection
Cybersecurity Automated Information Extraction Techniques: Drawbacks of Current Methods, and Enhanced Extractors
Image Segmentation as Learning on Hypergraphs
Community Event Prediction in Dynamic Social Networks
Finding Motifs in Wind Generation Time Series Data
Mood detection ontology integration with teacher context
Intelligent Decision Support System for Energy Investments
REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models
Improving an Early Warning System to Prediction of Student Examination Achievement
Utilizing Explainable AI for improving the Performance of Neural Networks
Semmeldetector: Application of Machine Learning in Commercial Bakeries
A Generic Platform to Automate Legal Knowledge Work Process Using Machine Learning
Adaptive Template Systems: Data-Driven Feature Selection for Learning with Persistence Diagrams
Efficient retrieval of electron density patterns for modeling proteins by X-ray crystallography
Hierarchical Representation for Multi-Source Domain Adaptation via Wasserstein Barycenter
An embedded deep learning system for augmented reality in firefighting applications
Writing with Style: Venue Classification
Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth's auroral space weather regimes
Embedding Representations of Diagnosis Codes for Outlier Payment Detection
Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture
Recommending Messages to Users in Social Networks: A Cross-Site Study
Google's Cloud Vision API is Not Robust to Noise
Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment
DDSupport: Language Learning Support System that Displays Differences and Distances from Model Speech
New Insights into Learning Algorithms and Datasets
Deep Learning for Range Localization via Over-Water Electromagnetic Signals
Adaptive Algorithm for Estimation of Model of Neural Activity in Brain-Computer Interfaces
AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines
DoPose-6D dataset for object segmentation and 6D pose estimation
Analysis of Forest Fire Data Using Neural Network Rule Extraction with Human Understandable Rules
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery
Metabolic Profiling of 1H NMR Spectra in Chronic Kidney Disease with Local Predictive Modeling
Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces
Evaluation of Event Impact on Key Performance Indicators
Deep Uncertainty Interpretation in Dyadic Human Activity Prediction
Medical image classfication using an efficient data mining technique
T-REC: Towards Accurate Bug Triage for Technical Groups
A proposal to identify stakeholders from news for the institutional relationship management activities of an institution based on Named Entity Recognition using BERT
Real-Time Activity Classification by Matched Filtering Using Body-Worn Accelerometers
Implementation of Off-Road Panoptic-Segmentation Under Dynamic Lighting Conditions
Ranking Interactions for a Curation Task
Online Orthogonal Regression Based on a Regularized Squared Loss
A New Control Method for dc-dc Converter by Neural Network Predictor with Repetitive Training
Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data
Forecasting Critical Overloads based on Heterogeneous Smart Grid Simulation
An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components
Perceptual User Study for Combined Treemap
Alignment of Multiple Proteins with an Ensemble of Hidden Markov Models
Subject-Dependent SSVEP Identification Using GMM Training and Adaptation
Automatically Detecting Avalanche Events in Passive Seismic Data
Math Chunking and Function Recognition using Deep Learning
Map-TreeMaps: A New Approach for Hierarchical and Topological Clustering
Analysis of STAGE Algorithm Based on Solving Bin Packing Problem
Deep Learning with Domain Randomization for Optimal Filtering
Multi-stage Learning of Linear Algebra Algorithms
A Hierarchical Meta-Classifier for Human Activity Recognition
Classifier-Based Policy Representation
Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients
Network Transformation of Gene Expression for Feature Extraction
Online Learning Algorithm for Collective LDA
Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting
An Ensemble Model for the Analysis of Parent-Child Interactions from Text and Audio
An Innovative Approach for Human Activity Recognition Based on a Multi-Head Attention Mechanism
Dynamic Inclusion of New Event Types in Visual Inspection Using Evolving Classifiers
A Family of Chisini Mean Based Jensen-Shannon Divergence Kernels
Enhancing Tabular GAN Fairness: The Impact of Intersectional Feature Selection
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks
Control of Composite Manufacturing Processes Through Deep Reinforcement Learning
American Sign Language Recognition Using Leap Motion Sensor
Segmentation of Multi-State Compound Waveform and Extraction of Features for Anomaly Detection
Effective Enrichment of Gene Expression Data Sets
Query Expansion for Cross-Language Information Retrieval
Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets
Evaluating Distributional Semantic and Feature Selection for Extracting Relationships from Biological Text
Learnable Visual Rhythms Based on the Stacking of Convolutional Neural Networks for Action Recognition
Pattern Learning through Distant Supervision for Extraction of Protein-Residue Associations in the Biomedical Literature
Neural Machine Translation Advised by Statistical Machine Translation: The Case of Farsi-Spanish Bilingually Low-Resource Scenario
Learning the Domain of Sparse Matrices
Multilayer Ferns: A Learning-based Approach of Patch Recognition and Homography Extraction
Dimensionality Reduction by Unsupervised K-Nearest Neighbor Regression
Development of CPT_M3D for Multiple Chemical Plume Tracing and Source Identification
Using Genre Interest of Users to Detect Profile Injection Attacks in Movie Recommender Systems
Lorenz Chaotic System Artificial Neural Network Training with Single Time Series Input and Multiple Time Series Outputs for EEG Prediction
Pruned Genetic-NAS on GPU Accelerator Platforms with Chaos-on-Edge Hyperparameters
Machine Learning for Plant Disease Incidence and Severity Measurements from Leaf Images