yusuke1997/dblp-id-title huggingface dataset:
Kernel Methods for Minimum Entropy Encoding
Influence of Training Data on the Invertability of Neural Networks for Handwritten Digit Recognition
Using Contextual Bandits for Maintaining Driver's Alertness via Personalized Interventions
Integrating Plausibility Checks and Machine Learning for Misbehavior Detection in VANET
An Interactive Scatter Plot Metrics Visualization for Decision Trend Analysis
Caveline Detection at the Edge for Autonomous Underwater Cave Exploration and Mapping
Extended Finite-State Machine Induction Using SAT-Solver
Causal Discovery of Cyber Attack Phases
Block Level Video Steganalysis Scheme
Enhancing ontology-based home Care Services platform using Bayesian networks
Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher
Multidimensional Sequence Alignment Methods: Discovering Navigation Patterns on Web Sites Presenting Page- and Time Information
On Selection of Optimal Kernel Function for Software Defect Prediction
Adaptive Soft Sensor for Online Prediction Based on Moving Window Gaussian Process Regression
A New Digital Control DC-DC Converter with Multi-layer Neural Network Predictor
On Developing a UAV Pursuit-Evasion Policy Using Reinforcement Learning
ConKGP: A Contrastive Learning Framework on Knowledge Graphs for Commonsense Reasoning with Perturbation
Modelling, Learning and Prediction of Complex Radar Emitter Behaviour
An Intelligent Automatic Fingerprint Recognition System Design
Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms
Autoencoder Feature Residuals for Network Intrusion Detection: Unsupervised Pre-training for Improved Performance
Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text
Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection
Semi-Automatic WordNet Based Emotion Dictionary Construction
A Kernel Method for Real-Time Respiratory Tumor Motion Estimation Using External Surrogates
Computer-Aided Diagnosis using Class-Weighted Deep Neural Network
Mutual Information-Based Feature Selection for Federated Learning Environments
Facial Expression Recognition Using Robust Attention-Based CNN
A Study on Software Metric Selection for Software Fault Prediction
Monitoring Health Changes in Congestive Heart Failure Patients Using Wearables and Clinical Data
A Robust Unsupervised Feature Learning Framework Using Spatial Boosting Networks
Finding Survival Groups in SEER Lung Cancer Data
Multi-Factor Edge-Weighting with Reinforcement Learning for Load Balancing of Electric Vehicle Charging Stations
Hi-GoTE: Hierarchical Group-Wise Temporal Ensembling for Semi-Supervised Pedestrian Attribute Recognition
BWCFace: Open-set Face Recognition using Body-worn Camera
Collaborative Filtering with CCAM
The Estimation of Students' Academic Success by Data Mining Methods
Multi-Agent Inverse Reinforcement Learning
Preference Aware Recommendation Based on Categorical Information
Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning
Decision Fusion of Machine Learning Models to Predict Radiotherapy-Induced Lung Pneumonitis
Utilizing Ensemble, Data Sampling and Feature Selection Techniques for Improving Classification Performance on Tweet Sentiment Data
Learner Engagement Measurement and Classification in 1: 1 Learning
Abduction and induction for learning models of inhibition in metabolic networks
Rot-SiLA: A Novel Ensemble Classification Approach Based on Rotation Forest and Similarity Learning Using Nearest Neighbor Algorithm
K-metamodes: frequency-and ensemble-based distributed k-modes clustering for security analytics
Application of Machine Learning Techniques to Drive Immunological Insights Towards Malaria Prognosis Using Microarray data
Lung Nodules Identification in CT Scans Using Multiple Instance Learning
Segmentation of Maya Hieroglyphs through Fine-Tuned Foundation Models
Fault Diagnosis Method Based on Scaling Law for On-line Refrigerant Leak Detection
Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection
A Characterization of Difficult Problems in Classification
End-to-End Attention/Transformer Model for Solar Flare Prediction from Multivariate Time Series Data
Using SVD for Segmentation and Classification of Human Hand Actions
Heuristic Method for Discriminative Structure Learning of Markov Logic Networks
Implementation of a Modified Nesterov's Accelerated Quasi-Newton Method on Tensorflow
Performance Analysis of Majority Vote Combiner for Multiple Classifier Systems
Classification of ECG Arrhythmia with Machine Learning Techniques
Joint Regularization on Activations and Weights for Efficient Neural Network Pruning
A Genetic Algorithm Approach to Partitioning Clustering: A Case Study on M.Sc. Applicants
Unsupervised ageing detection of mechanical systems on a causality graph
Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis
On Estimation of Quantiles for Pairwise Distances
Integrating knowledge-driven and data-driven approaches for the derivation of clinical prediction rules
Speech Rating System through Space Mapping
All-Monotony: A Generalization of the All-Confidence Antimonotony
A Game Theoretic Framework for Communication in Fully Observable Multiagent Systems
An Edge-based Real-Time Object Detection
A Remote Sensing Framework for Automated Monitoring of Roadside Water Quality
Evolving Neural Fuzzy Network with Adaptive Feature Selection
A New Scheme for Nucleotide Sequence Signature Extraction
A Machine Learning Based Topic Exploration and Categorization on Surveys
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
Trend Analysis for Large Document Streams
DeepWafer: A Generative Wafermap Model with Deep Adversarial Networks
A Study on the Vulnerability of Test Questions against ChatGPT-based Cheating
Toward an Online Anomaly Intrusion Detection System Based on Deep Learning
Geometric PDEs on Weighted Graphs for Semi-supervised Classification
semiMul: Floating-Point Free Implementations for Efficient and Accurate Neural Network Training
Student Mental Health Screening with Text Message Metadata
Xiao-Shih: The Educational Intelligent Question Answering Bot on Chinese-Based MOOCs
Bayesian Inferences and Forecasting in Spatial Time Series Models
Extraction of Strong Associations in Classes of Similarities
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
MapReduce Based Classification for Fault Detection in Big Data Applications
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images
Anomaly Detection of actual IoT traffic flows through Deep Learning
Improved Unsupervised Clustering over Watershed-Based Clustering
Robust Modeling of Continuous 4-D Affective Space from EEG Recording
Enhancing Online Music Lessons with Applications in Automating Self-Learning Tutorials and Performance Assessment
Raw Packet Data Ingestion with Transformers for Malicious Activity Classifications
The Multi-class Classification Method in Large Database Based on Hyper Surface
Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations
RAM-Net: A Residual Attention MobileNet to Detect COVID-19 Cases from Chest X-Ray Images
Data-Driven Estimation of Flowing Bottom-Hole Pressure in Petroleum Wells Using Long Short-Term Memory
Deep Few-Shot Network for Protein Family Classification: Bridging the Gap Between Limited Data and High Performance
Encoding in Neural Networks
Effectively Prompting Small-Sized Language Models for Cross-Lingual Tasks via Winning Tickets
Using Deep Neural Networks to Quantify Parking Dwell Time
DERIV: Distributed In-Memory Brand Perception Tracking Framework
A Global-Local Probsparse Self-Attention Transformer for LEO Satellite Orbit Prediction
Target Permutation for Feature Significance and Applications in Neural Networks
Event Prioritization and Correlation Based on Pattern Mining Techniques
LyriX : Automated Lyrics Transcription Using Deep Learning-Based Residual UNet Model
Predicting Computer Performance Based on Hardware Configuration Using Multiple Neural Networks
Instance-based Label Smoothing For Better Calibrated Classification Networks
A Study of GP's Division Operators for Symbolic Regression
Survey of Data Cleansing and Monitoring for Large-Scale Battery Backup Installations
On Asymmetric Similarity Search
Clustering for DNA Microarray Data Analysis with a Graph Cut Based Algorithm
ROI Detection in Mammogram Images Using Wavelet-Based Haralick and HOG Features
On L_1-Norm Multi-class Support Vector Machines
An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps
VidSearch: Privacy-by-Design Video Search and Retrieval System for Large-Scale CCTV Data
Detecting SSH and FTP Brute Force Attacks in Big Data
Bayesian estimation and classification with incomplete data using mixture models
Learning to Coordinate with Deep Reinforcement Learning in Doubles Pong Game
Deep Learning and Thresholding with Class-Imbalanced Big Data
An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications
Towards Hybrid Model for Automatic Text Summarization
Learning-Based Fusion for Data Deduplication
Modeling Agent Behaviors for Policy Analysis via Reinforcement Learning
Modeling Student Improvement in Tests with Multiple Attempts
Scoring systems, classifiers, default probabilities, and kernel methods
One-Class Classification to Continuously Authenticate Users Based on Keystroke Timing Dynamics
Ensemble CNN in Transform Domains for Image Super-resolution from Small Data Sets
A New Incremental Pairwise Clustering Algorithm
Resampling-Based Variable Selection with Lasso for p >> n and Partially Linear Models
Towards Real-Time Detection of Squamous Pre-Cancers from Oesophageal Endoscopic Videos
Effective data mining by integrating genetic algorithm into the data preprocessing phase
Pre-Processing Structured Data for Standard Machine Learning Algorithms by Supervised Graph Propositionalization - A Case Study with Medicinal Chemistry Datasets
Identification of Adipogenic and Osteogenic Differentiation using transfer learning of ResNet-18
Stochastic Induction of Decision Trees with Application to Learning Haar Trees
Proceedings of the 2002 International Conference on Machine Learning and Applications - ICMLA 2002, June 24-27, 2002, Las Vegas, Nevada, USA
MDL-based Hierarchical Clustering
Public Dataset of Parking Lot Videos for Computational Vision Applied to Surveillance
Learning Analysis by Reduction from Positive Data Using Reverible Languages
Multi-modal Tree-Based SVM Classification
Hierarchical Classification Approach to Emotion Recognition in Twitter
Rapid Identification of Protein Formulations with Bayesian Optimisation
Technical Verification of Integrating Wearable Sensors into BSN-Based Telemedical Monitoring System
Novel L1-Based Neural Gas Clustering Algorithms
Automated Data Labeling for Object Detection via Iterative Instance Segmentation
Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System
Mitigating the Effects of Concept Drift from Data Streams in Quantum Machine Learning
Pedestrian Detection: An Explainable Approach
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies
Uncertainty Quantified Matrix Completion Using Bayesian Hierarchical Matrix Factorization
Optimal Asynchronous Federated Learning for the Internet of Battlefield Things (IoBT)
OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms
Modeling Occupancy Behavior for Energy Efficiency and Occupants Comfort Management in Intelligent Buildings
Resource Management in Cloud Computing Using Machine Learning: A Survey
Preserving Accuracy While Stealing Watermarked Deep Neural Networks
Learning Convex Piecewise Linear Machine for Data-Driven Optimal Control
Artificial Neural Network Based Abdominal Organ Segmentations: A Review
The Personal Assessment Tool: A System Providing Environmental Feedback to Users of Shared Printers for Providing Environmental Feedback
Classifying, Detecting, and Predicting Infestation Patterns of the Brown Planthopper in Rice Paddies
Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut
Web User Authentication Using Chosen Word Keystroke Dynamics
Optimal Ensembles for Deep Learning Classification: Theory and Practice
Public Goods Game Simulator with Reinforcement Learning Agents
RAG Certainty: Quantifying the Certainty of Context-Based Responses by LLMs
A User Modeling Approach to Web Based Adaptive Educational Hypermedia Systems
Distributed Primal-Dual Proximal Method for Regularized Empirical Risk Minimization
Automatic medical coding of patient records via weighted ridge regression
Multi-variable Neural Network Forecasting Using Two Stage Feature Selection
Centroid Estimation Based on Symmetric KL Divergence for Multinomial Text Classification Problem
Complex Decomposition of the Negative Distance Kernel
PQL: Protein Query Language
Pneumonia Detection with Game-theoretic Rough Sets
Predicting building contamination using machine learning
One Node at a Time: Node-Level Network Classification
Learning from Multiple Graphs Using a Sigmoid Kernel
Argue to Learn: Accelerated Argumentation-Based Learning
Multimodal Music and Lyrics Fusion Classifier for Artist Identification
Improving a Gold Standard: Treating Human Relevance Judgments of MEDLINE Document Pairs
MobileNet-Tiny: A Deep Neural Network-Based Real-Time Object Detection for Rasberry Pi
Taxonomic Dimensionality Reduction in Bayesian Text Classification
Gender Estimation from a Hybrid of Face, Upper and Full Body Images at Varying Body Poses
Volumetric Feature Extraction from 2D Images Using Cubixels
Harmonic Structure-Based Neural Network Model for Music Pitch Detection
Advancing Precision Medicine: An Evaluative Study of Feature Selection Methods
Indexing Text Related to Software Vulnerabilities in Noisy Communities Through Topic Modelling
Knowledge Graph Extraction from Videos
A Confident Agent: Toward More Effective Intelligent Distance Learning Environments
Maximizing University Enrollment Using Institutional-Based Aid Scholarship
Explainable Unsupervised Multi-Sensor Industrial Anomaly Detection and Categorization
Incorporating Game-Theoretic Rough Sets in Web-Based Medical Decision Support Systems
Knowledge Guided Two-player Reinforcement Learning for Cyber Attacks and Defenses
Solar Image Synthesis with Generative Adversarial Networks
Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization
Falsification-Based Robust Adversarial Reinforcement Learning
Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems
Evaluating Non-personalized Single-Heuristic Active Learning Strategies for Collaborative Filtering Recommender Systems
COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach
International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, FL, USA, December 15-17, 2023
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization
Deep Learning-Based Object Detection for Digital Inspection in the Mining Industry
A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems
Hyperparameter Tuning in Offline Reinforcement Learning
On the Use of Decision Trees as Behavioral Approaches in Intrusion Detection
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition
Basic Investigation on a Robust and Practical Plant Diagnostic System
Identifying Catheter and Line Position in Chest X-Rays Using GANs
Domain-Invariant Regression Under Beer-Lambert's Law
Online Writer-Independent Character Recognition Using a Novel Relational Context Representation
Al-based BMI Inference from Facial Images: An Application to Weight Monitoring
Topic Detection in Instant Messages
Defending Against Localized Adversarial Attacks on Edge-Deployed Monocular Depth Estimators
On-line Learning with Evolutionary Algorithms towards Adaptation of Underwater Vehicle Missions to Dynamic Ocean Environments
On the Complexity of General Solution DAGs
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation
Bad Citrus: Reducing Adversarial Costs with Model Distances
Realtime Email Delivery Failure Prediction Using the One-vs-All Classifier
Adversarial Patch Defense for Optical Flow Networks in Video Action Recognition
Human Motion Trajectory Analysis Based Video Summarization
Towards Safe Online Machine Learning Model Training and Inference on Edge Networks
Extending SpArSe: Automatic Gesture Recognition Architectures for Embedded Devices
Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria
Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning
Characterizing CNN-Based Vessel Detection Algorithm Sensitivity to Optical Sensor Artifacts
Identifying Effective Test Cases through K-Means Clustering for Enhancing Regression Testing
Critic Loss for Image Classification
Novel Approach for Test Methods Automatic Selection in Product Reliability: Improved Method for Acquiring Part-Whole Relation
Analyzing Inconsistencies Across Financial Services Machine Learning Algorithms and Implementations
A Multiobjective Genetic Fuzzy System for Obtaining Compact and Accurate Fuzzy Classifiers with Transparent Fuzzy Partitions
A Methodology for Estimating Hospital Intensive Care Unit Length of Stay Using Novel Machine Learning Tools
Human Action Recognition Based on MOCAP Information Using Convolution Neural Networks
Enhancing Health Information Retrieval with Large Language Models: A Study on MedQuAD Dataset
A Clustering-Based Approach to Predict Outcome in Cancer Patients
Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy
A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization
Entity Set Expansion for Detecting Fashion Trends
Nearest Neighbor Minutia Quadruplets Based Fingerprint Matching with Reduced Time and Space Complexity
Optimization on a Novel Quantum Greedy Approach Based on Learning Strategy for Zero and One Knapsack Problem and Evaluation
GEM-RAG: Graphical Eigen Memories for Retrieval Augmented Generation
Deep Multiple Instance Learning Ensemble for the Acoustic Detection of Tropical Birds
Movement Pattern Based Authentication for Smart Mobile Devices
TransCrossCF: Transition-based Cross-Domain Collaborative Filtering
Deep Learning for Flood Forecasting and Monitoring in Urban Environments
Learning Finite-State Machines: Conserving Fitness Function Evaluations by Marking Used Transitions
Clustered Federated Learning with Non-IID Data: Mitigating Accuracy Overestimates Through Hold-Out Model Selection and Evaluation
Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations
Use of Machine Learning for Detection of Unaware Facial Recognition Without Individual Training
Network Traffic Prediction Using Recurrent Neural Networks
XLNet4Rec: Recommendations Based on Users' Long-Term and Short-Term Interests Using Transformer
Time Efficient Micro-Expression Recognition Using Weighted Spatio-Temporal Landmark Graphs
Optimizing Bus Fleet Operations for Prolonged Battery Life: A Genetic Algorithm Approach
Recognition and Analysis of the Contours Drawn during the Poppelreuter's Test
Semi-supervised Kernel-Based Temporal Clustering
A Layer Decomposition Approach to Inference Time Prediction of Deep Learning Architectures
DAT-RNN: Trajectory Prediction with Diverse Attention
Radar Trajectory-based Air-Writing Recognition using Temporal Convolutional Network
Fast Proposals for Image and Video Annotation Using Modified Echo State Networks
The Determination of Socio-economic Factors Affecting Student Success by Data Mining Methods
A Web Based Pipeline Tool for the Combination of Logic Conditions for NGS Data
Automatic Generation and Recommendation for API Mashups
Predicting software suitability using a Bayesian belief network
Use of a Feedforward Neural Network for Predicting the Development Duration of Software Projects
Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising
Robust Training of Multilayer Neural Networks Using Parameterized Online Quasi-Newton Algorithm
A Genetic Algorithm for Combinational Logic Circuit Synthesis Using Directed Graph Primitives
Bootstrapping algorithms for an application in the automotive domain
Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification
Secure Data Aggregation Model (SDAM) in Wireless Sensor Networks
A Data-Driven Method to Detect the Abnormal Instances in an Electricity Market
Elastic Time Series Motifs and Discords
Urban Street Contexts Classification Using Convolutional Neural Networks and Streets Imagery
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection
Solving the traveling salesman problem through genetic algorithms with changing crossover operators
Detection Success Assessment of Machine Learning Algorithms Through Manifest File Permissions Demanded by Malicious Android Wares
Knowledge Distillation for Quantized Vehicle Sensor Data
Semantic Segmentation Using Transfer Learning on Fisheye Images
On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery
Utilizing Machine Learning to Enhance Profit Generation from Technical Trading Rules in Portfolio Construction within the Stock Exchange of Thailand
On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment
Quasi-Adam: Accelerating Adam Using Quasi-Newton Approximations
Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation
Managing Constraints and Preferences for Winner Determination in Multi-attribute Reverse Auctions
Discovering Knowledge Rules with Multi-Objective Evolutionary Computing
Identifying Metering Hierarchies with Distance Correlation and Dominance Constraints
Score-based Image-to-Image Regression with Synchronized Diffusion
A hierarchical feature decomposition clustering algorithm for unsupervised classification of document image types
Detection of Reckless Driving using Deep Learning
Incremental Learning Based on Growing Gaussian Mixture Models
A new clustering algorithm using message passing and its applications in analyzing microarray data
Zero Day Threat Detection Using Metric Learning Autoencoders
GraFeHTy: Graph Neural Network using Federated Learning for Human Activity Recognition
Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems
Authoritative citation KNN learning in multiple-instance problems
Adaptive Time Window Size to Track Concept Drift
Enhanced Multiagent Multi-objective Reinforcement Learning for Urban Traffic Light Control
A Hybrid Collaborative Filtering Model Using Customer Search Keyword Data for Product Recommendation
Reducing Artifacts in GAN Audio Synthesis
A Demonstration of Stability-Plasticity Imbalance in Multi-agent, Decomposition-Based Learning
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications
Minimizing Hybrid Electric Power Generation Costs Using Smart Power Grid Solution
Location Type Classification Using Tweet Content
Deep Learning Approach to Trademark International Class Identification
Detecting temporally redundant association rules
Class Diagram Retrieval Using Genetic Algorithm
Multivariate Assessment of a Repair Program for a New York City Electrical Grid
Domain adaptation from clinical trials data to the tertiary care clinic - Application to ALS
Appearance Based Recognition Using Spatial and Discriminant Influence