yusuke1997/dblp-id-title huggingface dataset:
Ensemble Feature Selection Methods for a Better Regularization of the Lasso Estimate in P ≫ N Gene Expression Datasets
Performance of CatBoost and XGBoost in Medicare Fraud Detection
End-to-End Deep Learning for Reliable Cardiac Activity Monitoring using Seismocardiograms
Feature Selection with Imbalanced Data for Software Defect Prediction
Feature Popularity Between Different Web Attacks with Supervised Feature Selection Rankers
Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding
A Comparative Study on the Stability of Software Metric Selection Techniques
Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data
Detecting Stealthy Cobalt Strike C&C Activities via Multi-Flow based Machine Learning
A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment
Iterative Feedback-Enhanced Prompting: A Green Algorithm for Reducing Household Food Waste
An Intelligent Tutoring System for Argument-Making in Higher Education: A Pilot Study
The Combination of Clinical, Dose-Related and Imaging Features Helps Predict Radiation-Induced Normal-Tissue Toxicity in Lung-cancer Patients - An in-silico Trial Using Machine Learning Techniques
How Learning Enables Intelligence Analysts to Rapidly Develop Practical Cognitive Assistants
Condition Monitoring Using Pattern Recognition Techniques on Data from Acoustic Emissions
3D Vehicle Detection in Roadside Traffic Flow Using Complex-YOLO
A comparison of two algorithms for predicting the condition number
A Comparison of Supervised Machine Learning Techniques for Predicting Short-Term In-Hospital Length of Stay among Diabetic Patients
Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application
Design of a Cost-Effective Deep Convolutional Neural Network-Based Scheme for Diagnosing Faults in Smart Grids
Label Propagation on K-partite Graphs
Advancing Energy Monitoring: Deep Learning for Automated Non-Smart Gas Meter Readings
Demonstrating Automated Generation of Simulation Models from Engineering Diagrams
Canonical ELM: Improving the Performance of Extreme Learning Machines on Multivariate Regression Tasks Using Canonical Correlations
Time Series Classification Using Time Warping Invariant Echo State Networks
Analysis of Microbiome Data across Inflammatory Bowel Disease Patients
Voxel-based Deep Learning for Image Super-resolution of Areal Density Maps of Carbon-nanotube Sheets
Income prediction via support vector machine
Time-Series Data Analysis for Classification of Noisy and Incomplete Internet-of-Things Datasets
Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data
Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts
Predicting Vehicle Impact Severity With Deep Neural Network for Reinforcement Learning Based Autonomous Vehicle Simulators
Modifying LSTM Posteriors with Manner of Articulation Knowledge to Improve Speech Recognition Performance
Phase transition and heuristic search in relational learning
Bayesian Sequential Optimal Experimental Design for Linear Regression with Reinforcement Learning
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers
The Design and Application of the Public Booking Service System
Prioritizing Health Promotion Plans with k-Bayesian Network Classifier
Machine Learning for Seismic Signal Processing: Phase Classification on a Manifold
Mining Strengths and Weaknesses of Cricket Players Using Short Text Commentary
A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection
Using k-Nearest Neighbor and Speaker Ranking for Phoneme Prediction
Two new regularized AdaBoost algorithms
Privacy Setting Recommendation for Image Sharing
Feature Selections for Effectively Localizing Faulty Events in GUI Applications
Software Fault Prediction Based on Fault Probability and Impact
First-Order Probabilistic Model for Hybrid Recommendations
A Hybrid Method of Genetic Algorithms and Ant Colony Optimization to Solve the Traveling Salesman Problem
Incremental kNN Classifier Exploiting Correct-Error Teacher for Activity Recognition
Deep Metric Learning for Proteomics
Towards logical association rule mining on ontology-based semantic trajectories
Single Camera Masked Face Identification
MCMN Deep Learning Model for Precise Microcrack Detection in Various Materials
An Intelligent Power Factor Correction Approach Based on Linear Regression and Ridge Regression Methods
Human Action Recognition Based on a Two-stream Convolutional Network Classifier
Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling
Automated Pap Smear Cell Analysis: Optimizing the Cervix Cytological Examination
Data-driven Support Recovery for Sparse Signals with Non-stationary Modulation
A Simple Neuro-Heuristic Computational Intelligence Algorithm for Thin Film Flow Equation Arising in Physical Models
Increasing Accuracy in Predicting Student Test Scores with Neural Networks using Domain Reduction Technique of Principal Component Analysis
Graph Convolutional Networks for Categorizing Online Harassment on Twitter
Role Model of Search in Agents' Parameter-Space
Spectral Clustering and Feature Selection for Microarray Data
NoisyDECOLLE: Robust Local Learning for SNNs on Neuromorphic Hardware
PerMTL: A Multi-Task Learning Framework for Skilled Human Performance Assessment
Preferential Proximal Policy Optimization
Detection of Behavioral Health Challenges in High School Students
Toward Measuring and Understanding the Overvalidation Phenomena
Anomaly Detection in Earth Dam and Levee Passive Seismic Data Using Multivariate Gaussian
Gaussian Mixture Model Cluster Forest
Rethinking Automatic Chord Recognition with Convolutional Neural Networks
An Evaluation and Comparison of Machine Learning Methods for Prediction of Lubricant Film Thickness
TF-ICF: A New Term Weighting Scheme for Clustering Dynamic Data Streams
iTRACE: In-Depth Trends and Root Cause Analysis of Canadian Public Service Employee Survey
Feature Selection in Cancer Classification from mRNA Data Based on Localized Dimension Reduction
The Performance-Actionability Trade-Off in Retention Prediction at Middle School
An OCR-independent character segmentation using shortest-path in grayscale document images
Weighted Itemsets Error (WIE) Approach for Evaluating Generated Synthetic Patient Data
Oracle Embeddings for Chemical Detection
Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects
Learning bayesian networks consistent with the optimal branching
From Sky to Strategy: Construction Activity Index and Stage Estimation From Drone-Captured Imagery
CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems
Web Spam: A Study of the Page Language Effect on the Spam Detection Features
Determination of Vocational Fields with Machine Learning Algorithm
Deep Learning-based Student Learning Behavior Understanding Framework in Real Classroom Scene
Statistical Downscaling of Climate Change Scenarios of Rainfall and Temperature over Indira Sagar Canal Command Area in Madhya Pradesh, India
Adaptive Thresholding based on SOM Technique for Semi-Automatic NPC Image Segmentation
Composer Classification in Symbolic Data Using PPM
Bug Reports Prioritization: Which Features and Classifier to Use?
Measuring the Spatial Error in Load Forecasting for Electrical Distribution Planning as a Problem of Transporting the Surplus to the In-Deficit Locations
A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization
Pattern and Anomaly Localization in Complex and Dynamic Data
Proxy Model Explanations for Time Series RNNs
Using Text Analytics on Reflective Journaling to Identify Cultural Capitals for STEM Students
Semi-Supervised Learning Using Sparsely Labelled Sip Events for Online Hydration Tracking Systems
Creation and deployment of data mining-based intrusion detection systems in Oracle Database l0g
Classification of UXO Using Convolutional Networks Trained on a Limited Dataset
An Analysis of Instance Selection for Neural Networks to Improve Training Speed
A Chunking Method for Euclidean Distance Matrix Calculation on Large Dataset Using Multi-GPU
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code
Identifying noise in an attribute of interest
Improving AML Diagnosis Precision: Deep Learning-Based Classification of Leukocyte Morphology and Malignancy
Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection
Zebrafish Larva Locomotor Activity Analysis Using Machine Learning Techniques
Melodic Segmentation Using the Jensen-Shannon Divergence
A Comparison of Techniques for Handling Incomplete Input Data with a Focus on Attribute Relevance Influence
Machine Learning to Predict Developmental Neurotoxicity with High-Throughput Data from 2D Bio-Engineered Tissues
A Fast Learning Decision-Based SVM for Multi-Class Problems
ComFu: Improving Visual Clustering by Commonality Fusion
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine
Heterogeneous Imitation Learning from Demonstrators of Varying Physiology and Skill
Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection
Main Content Extraction from Web Pages
Machine Learning in Personalized Skin Care: A Simulation Scheme for Pattern Recognition in Skin Condition Genome-wide Association Studies
Perceptually Constrained Fast Adversarial Audio Attacks
Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis
Loss Scheduling for Class-Imbalanced Image Segmentation Problems
Bias-variance tradeoff in hybrid generative-discriminative models
Metric Learning for Music Symbol Recognition
Transformer Based Bengali Chatbot Using General Knowledge Dataset
Bidirectional Backpropagation Autoencoding Networks for Image Compression and Denoising
Deep Learning-Enhanced Gap Filling in Drosophila Melanogaster Genomic Data
Multi-adversarial Variational Autoencoder Networks
An Empirical Study of the Hidden Matrix Rank for Neural Networks with Random Weights
Media Haze Classification in Retinal Images Using Transfer Learning with Convolutional Neural Networks
Prediction of Sorghum Bicolor Genotype from In-Situ Images Using Autoencoder-Identified SNPs
TA-SAITS: Time Aware-Self Attention based Imputation of Time Series algorithm for Partially Observable Multi -Variate Time Series
Active Learning with Combinatorial Coverage
Sampling Real Algebraic Varieties for Topological Data Analysis
Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle Fleet
Patient Identification for Telehealth Programs
The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years
An Improved Generalized Discriminant Analysis for Large-Scale Data Set
Multidisciplinary Optimization in Decentralized Reinforcement Learning
Typicality for Information Retrieval with Application on Sample Size Reduction of High Dimensional Data
System-Level Test Case Prioritization Using Machine Learning
Fuzzy frequent pattern discovering based on recursive elimination
Comparison of Two Methods for Finding Biomedical Categories in Medline
Road Accident Proneness Indicator Based On Time, Weather And Location Specificity Using Graph Neural Networks
Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents
EMU: Early Mental Health Uncovering Framework and Dataset
Optimal Tile Size Selection Problem Using Machine Learning
Thompson Sampling Guided Stochastic Searching on the Line for Non-stationary Adversarial Learning
Incremental Learning on Decorrelated Approximators
Deep neural network for load forecasting centred on architecture evolution
Improved Batching Strategy For Irregular Time-Series ODE
Computation of a Rejection Threshold Used for the Bayes Classifier
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats
Adversarial Attacks on Speech Separation Systems
Structured Prediction with Relative Margin
Knee Bone Segmentation on Three-Dimensional MRI
LIFT - A Leading Measure for Predictive Modeling
Discovering and Counting Biomedical Verbs
Predicting Fold-Switching Protein Behavior Using Graph Neural Networks
Enhancing Pipeline Monitoring: Optimizing Window Size with Monte Carlo Search and CB-AttentionNet
Learning complex problem solving expertise from failures
Review on Machine Learning Based Lesion Segmentation Methods from Brain MR Images
A Structural SVM Approach for Reference Parsing
Medical Asset Management: Deep Learning Based Asset Usage Prediction in a Hospital Setting Using Real Data
ICMLA Face Recognition Challenge - Results of the Team Computational Intelligence Mittweida
Dynamic Decision Method Based on Contextual Selection of Representation Subspaces
Bayesian Unification of Gradient and Bandit-Based Learning for Accelerated Global Optimisation
Neural Network Conditional Random Fields for Self-Paced Brain Computer Interfaces
Auction Fraud Classification Based on Clustering and Sampling Techniques
Abrupt and Drift-Like Fault Diagnosis of Concurent Discrete Event Systems
Pairwise Clustering by Minimizing the Error of Unsupervised Nearest Neighbor Classification
Classification and Feature Extraction for User Identification for Smart Home Networks Based on Apps Access History
Machine Learning Techniques Applied to Sensor Data Correction in Building Technologies
Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family Classification
TSTMT: step towards an accurate Thai sign translation
OP-DCI: A Riskless K-Means Clustering for Influential User Identification in MOOC Forum
Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection
Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function
Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection
Efficient Optimization of Logistic Regression by Direct Use of Conjugate Gradient
Gaussian Process Neural Network Embeddings for Collaborative Filtering
A Hybrid Method for Intrusion Detection
An Innovative Solar Flare Metadata Collection for Space Weather Analytics
A Deep Learning-based Approach for Real-time Facemask Detection
An Evolutionary Learning Approach to Self-configuring Image Pipelines in the Context of Carbon Fiber Fault Detection
Multi-label associative classification of medical documents from MEDLINE
Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations
Efficient Approximate Semi-supervised Support Vector Machines through Submodular Optimization
Surrogate Ground Truth Generation to Enhance Binary Fairness Evaluation in Uplift Modeling
On Dynamic Selection of the Most Informative Samples in Classification Problems
Practical Method for a Learning-Based Collection Fusion
A Real Time Stock tendency prognostication using Quantopian
Maximizing Customer Lifetime Value using Stacked Neural Networks: An Insurance Industry Application
Book Recommendation Signage System Using Silhouette-Based Gait Classification
Evaluation of GAN Architectures For Visualisation of HPV Viruses From Microscopic Images
Aiding Intrusion Analysis Using Machine Learning
A Novel Approach to Detect Smile Expression
Weakly Supervised Deep Learning for Detecting and Counting Dead Cells in Microscopy Images
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
Stability and Classification Performance of Feature Selection Techniques
Patronizing and Condescending Language Detection
Context-Dependent Fusion of Multiple Algorithms with Minimum Classification Error Learning
Optimization-Based Domain Adaptation towards Person-Adaptive Classification Models
Kernel Factorisation Machines
Utilizing Machine Learning Techniques in Predicting Job Viability of Information Technology Program Graduates
Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel
Meta-Analysis of the Machine Learning Operations Open Source Ecosystem
Decoding Epileptogenesis in a Reduced State Space
Instance Segmentation of Newspaper Elements Using Mask R-CNN
Development of a Beam Source Modeling Technique for a Flattening Filter Free (FFF) Beam
Comparative Study of Different Classification Techniques: Heart Disease Use Case
Modeling Hesitation and Conflict: A Belief-Based Approach for Multi-class Problems
Bayesian Embedding of Co-occurrence Data for Query-Based Visualization
Clinical Report Classification Using Natural Language Processing and Topic Modeling
A Comparison of ARIMA and LSTM in Forecasting Time Series
A Binocular Framework for Face Liveness Verification under Unconstrained Localization
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment
Mental Stress Classification by Attention-Based CNN-LSTM Algorithm of Electrocardiogram Signal
On Skeletons Attached to Grey Scale Images
Hermite/Laguerre Neural Networks for Classification of Artificial Fingerprints from Optical Coherence Tomography
Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase
Logistic Ensembles for Random Spherical Linear Oracles
Tool Machines with Brains - Touchless Wheel Alignment with Neural Networks
Distributed Conformal Anomaly Detection
Using evolutionary sampling to mine imbalanced data
Estimating Hospital Admissions with a Randomized Regression Approach
Corn Yield Prediction using Spatial-Temporal Data and Deep Learning
Predictive Models of Hard Drive Failures Based on Operational Data
Comparative Evaluation of Deep Learning Architectures for Retinal Ganglion Cell Counting: FCRN-A, FCRN-A-v2, and U-Net
Equating interestingness of causal rules via graded response theory
Fast Time Series Classification Based on Infrequent Shapelets
Characterizing the Shape of Activation Space in Deep Neural Networks
Robust Support Vector Machines for Anomaly Detection in Computer Security
Quantifying Cognitive Load from Voice using Transformer-Based Models and a Cross-Dataset Evaluation
The Effect of Dataset Size on Training Tweet Sentiment Classifiers
Control of a re-entrant line manufacturing model with a reinforcement learning approach
Deep Bayesian Active Semi-Supervised Learning
Road Detection through Supervised Classification
Comparison with Parametric Optimization in Credit Card Fraud Detection
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Prediction of Antisense Oligonucleotide Efficacy Using Local and Global Structure Information with Support Vector Machines
Integrating Machine Learning Into a Medical Decision Support System to Address the Problem of Missing Patient Data
Flexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual Learning
EMPRR: a high-dimensional EM-based peicewise regression algorithm
INDiC: Improved Non-intrusive Load Monitoring Using Load Division and Calibration
Fault Detection through Sequential Filtering of Novelty Patterns
Abnormal Gait Detection by Classifying Inertial Sensor Data using Transfer Learning
Feature extraction using random matrix theory approach
Vision-Based Detection of Simultaneous Kicking for Identifying Movement Characteristics of Infants At-Risk for Neuro-Disorders
Channel-Adaptive Early Exiting Using Reinforcement Learning for Multivariate Time Series Classification
Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset
Echo Doppler Flow Classification and Goodness Assessment with Convolutional Neural Networks
Learning Medical Risk Scores for Pediatric Appendicitis
Visual Question Answering based on Formal Logic
Discovering and Characterizing Hidden Variables in Streaming Multivariate Time Series
Vehicle Action Prediction Using Artificial Intelligence
Automated Behavioral Analysis of Malware: A Case Study of WannaCry Ransomware
Learning Extended Forecasts of Soil Water Content via Physically-Inspired Autoregressive Models
Targeted Action Rule Discovery
Short-Term Urban Rail Passenger Flow Forecasting: A Dynamic Bayesian Network Approach
Enhancing EEG Motor Imagery Time Point Signal Classification through Reinforcement Learning and Graph Neural Networks
Exploratory data mining lead by text mining using a novel high dimensional clustering algorithm
Variable-Length Protein Sequence Motif Extraction Using Hierarchically-Clustered Hidden Markov Models
Estimating Missing Data and Determining the Confidence of the Estimate Data
Machine Learning of the Ultrasound Signal Travel Path Effect in Estimating the Residual Life of the US Army Vehicles
Improving Software Quality Estimation by Combining Boosting and Feature Selection
Learning Curve Estimation with Large Imbalanced Datasets
Time-Sensitive Behavior Prediction in a Health Social Network
COVID-HateBERT: a Pre-trained Language Model for COVID-19 related Hate Speech Detection
Predicting MXene Properties via Machine Learning
Resiliency of SNN on Black-Box Adversarial Attacks
Distribution Based Upper Lower Bound Estimation In Deep Neural Nets
pReview: The Artificially Intelligent Conference Reviewer
Supervised Transfer Learning for Product Information Question Answering
Epileptic Electroencephalogram Signal Classification Based on Shearlet and Contourlet Transforms
Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context
Co-clustering by similarity refinement
Multimodal Music Mood Classification Using Audio and Lyrics
11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1
Discrepancy-Based Knowledge Distillation for Image Classification Restoration
GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification
Multi-stream Convolutional Neural Networks for Action Recognition in Video Sequences Based on Adaptive Visual Rhythms
A Novel Convolutional Neural Network For Pavement Crack Segmentation
The Assessment of the Quality of Sugar Using Electronic Tongue and Machine Learning Algorithms
Phrase Based Topic Modeling for Semantic Information Processing in Biomedicine
Machine Learning Meets EEG: A Novel Approach to PGA-Based Authentication Systems
Clustering Based Classification in Data Mining Method Recommendation
Text Similarity in Vector Space Models: A Comparative Study
CrypTop12: A Dataset For Cryptocurrency Price Movement Prediction From Tweets And Historical Prices
Application of Machine Learning to Gasoline Direct Injection Systems: Towards a Data-Driven Development
Recognition of ultrasonic multi-echo sequences for autonomous symbolic indoor tracking
Budgeted Learning for Developing Personalized Treatment
Efficient Deep Learning Model for Text Classification Based on Recurrent and Convolutional Layers
Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval
Statistical Scenarios for Demand Forecast of a High Voltage Feeder: A Comparative Study
Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics
Co-evolution of Successful Trading Strategies in A Simulated Stock Market
ROWBACK: RObust Watermarking for neural networks using BACKdoors
A scalable solution to AlphaZero based Redundancy Analysis for semiconductor chips
Anomaly detection for MPC forecast in Fleet of Water Heaters
SP-GPT2: Semantics Improvement in Vietnamese Poetry Generation
A Clustering-Based Grouping Model for Enhancing Collaborative Learning
Combining Exact and Metaheuristic Techniques for Learning Extended Finite-State Machines from Test Scenarios and Temporal Properties
Satisficing Q-learning: efficient learning in problems with dichotomous attributes
Machine Learning-Based Prediction of Prolonged Length of Stay in Newborns
Use of Machine Learning in Exploring Spatial (In)Justices 1