yusuke1997/dblp-id-title huggingface dataset:
Fair Algorithms for Hierarchical Agglomerative Clustering
Sampling Adaptively Using the Massart Inequality for Scalable Learning
Super Resolution with Sparse Gradient-Guided Attention for Suppressing Structural Distortion
Clinical Knowledge Graph Embedding Representation Bridging the Gap between Electronic Health Records and Prediction Models
Varying Coefficient Models for Analyzing the Effects of Risk Factors on Pregnant Women's Blood Pressure
Multi-Class Text Classification Based in Oversampling for Highly Imbalanced Dataset
Graph Neural Networks for IceCube Signal Classification
Unsupervised Speaker Clustering in a Linear Discriminant Subspace
Real-Time Prediction of Employee Engagement Using Social Media and Text Mining
A Two-Stage Deep Learning Framework for Enhanced Waste Detection and Classification
SVM Multi-classification of T2D/CVD Patients Using Biomarker Features
The Influence Machine: Nonnegative Instance-Space Learning with Differentiated Regularization
Combining Transfer Learning and Representation Learning to Improve Predictive Analytics on Small Materials Data
An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets
Face Recognition in the Virtual World: Recognizing Avatar Faces
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
Time Series Neural Networks for Real Time Sign Language Translation
A Cooperative Learning Scheme for Energy Efficient Routing in Wireless Sensor Networks
Demographic Group Classification of Smart Device Users
A Finite Gamma Mixture Model-Based Discriminative Learning Frameworks
Adjusting Real-Time Mode Transitions via Genetic Algorithms
Variational Inference on Infinite Mixtures of Inverse Gaussian, Multinomial Probit and Exponential Regression
Contextual Analysis Processing Able to Interpret Coherence of Knowledge Representations Related to Reputation
Conditional Random Fields for Rock Characterization Using Drill Measurements
LaCova: A Tree-Based Multi-label Classifier Using Label Covariance as Splitting Criterion
Semi-Automated Segmentation of Glioblastomas in Brain MRI Using Machine Learning Techniques
Learning to Propose Amendments: Identifying Patterns in the Right to Information Query Log
Realistic Traffic Generation for Web Robots
Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomy
Overcoming Alpha-Beta Limitations Using Evolved Artificial Neural Networks
Learning Bayesian Networks for Improved Instruction Cache Analysis
Source-Aware Partitioning for Robust Cross-Validation
An Edge Computing Visual System for Vegetable Categorization
SkILL - A Stochastic Inductive Logic Learner
Natural Adversarial Attacks
Semantic Segmentation of Multi-Channel Polycrystalline Structure Micrographs Using Convolutional Neural Networks
Application - Hardware Co-Optimization of Crossbar-Based Neuromorphic Systems
Fuels Demand Forecasting: Identifying Leading Feature Sets, Prediction Strategy, and Regressors
Machine Learning in Anomaly Detection: Example of Colluded Applications Attack in Android Devices
On-line, Incremental Learning for Real-Time Vision Based Movement Recognition
Time Warping Symbolic Aggregation Approximation with Bag-of-Patterns Representation for Time Series Classification
A new landmarker generation algorithm based on correlativity
Learning contextual behavior of text data
Novel Adversarial Defense Techniques for White-Box Attacks
An Empirical Investigation of Stacking for Music Tag Annotation
Boltzmann Machine Topology Learning for Distributed Sensor Networks Using Loopy Belief Propagation Inference
Prediction of Continuous Phenotypes in Mouse, Fly, and Rice Genome Wide Association Studies with Support Vector Regression SNPs and Ridge Regression Classifier
Impact of Noise and Data Sampling on Stability of Feature Selection
A CNN-Based Automated Stuttering Identification System
Bee Colony Based Worker Reliability Estimation Algorithm in Microtask Crowdsourcing
Graph and Manifold Co-regularization
An energy-based model for neuro-symbolic reasoning on knowledge graphs
An Approximate Version of Kernel PCA
Graph Integration for Diffusion-Based Manifold Alignment
Temporal Tensor Factorization: A Framework for Low-Rank Multilinear Time Series Forecasting
Rejection Factors of Pull Requests Filed by Core Team Developers in Software Projects with High Acceptance Rates
Optimizing CNN using Fast Fourier Transformation for Object Recognition
Image Analysis Tool with Laws' Masks to Bone Texture
Linguistic Features for Detecting Fake Reviews
Artificial Intelligence Based Hybrid Structures for Short-Term Load Forecasting Without Temperature Data
Histogram-Based Asymmetric Relabeling for Learning from Only Positive and Unlabeled Data
Multi-view Data Mining Approach for Behaviour Analysis of Smart Control Valve
ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL
ECG Fiducial Point Localization Using a Deep Learning Model
Randomized Sampling for Large Data Applications of SVM
On Convergence of Discriminative Training Algorithm for Speaker Recognition
An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections
An Application of Classification and Class Decomposition to Use Case Point Estimation Method
Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization
An Industrial-Strength Pipeline for Recognizing Fasteners
Linear Online Learning over Structured Data with Distributed Tree Kernels
Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions
Collapse Resistant Deep Convolutional GAN for Multi-object Image Generation
Introducing Flow Field Forecasting
Adaptive Divide-and-Conquer Using Populations and Ensembles
User-Centric Synthetic Road Network Generation Using Graph Neural Networks and Graph Autoencoders
4bit-Quantization in Vector-Embedding for RAG
Increasing Efficiency of Evolutionary Algorithms by Choosing between Auxiliary Fitness Functions with Reinforcement Learning
Deep Learning Applied on Renewable Energy Forecasting Towards Supply-Demand Matching
Classification of Breast Cancer Risk Factors Using Several Resampling Approaches
A New Method for Learning Decision Trees from Rules
A Bayesian Classification Approach to Improving Performance for a Real-World Sales Forecasting Application
High Precision Screening for Android Malware with Dimensionality Reduction
CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description
The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting
Partially-Sparse Restricted Boltzmann Machine for Background Modeling and Subtraction
Using CatBoost and Other Supervised Machine Learning Algorithms to Predict Alzheimer's Disease
General Model for Manufacturing Defect Detection Crossing Multiple Products
A Bayesian technique for task localization in multiple goal Markov decision processes
Disturbing Neighbors Ensembles of Trees for Imbalanced Data
Lower Bounds for Adversarially Robust PAC Learning under Evasion and Hybrid Attacks
An Investigation of Ensemble Techniques for Detection of Spam Reviews
Autonomous Detector Using Saliency Map Model and Modified Mean-Shift Tracking for a Blind Spot Monitor in a Car
Exploring classification heterogeneity with IPA
SimCURL: Simple Contrastive User Representation Learning from Command Sequences
Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning
Learning Convolutional Neural Networks from Ordered Features of Generic Data
TopKConv: Increased Adversarial Robustness Through Deeper Interpretability
Incremental Open Set Intrusion Recognition Using Extreme Value Machine
A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction
Learning Collaborative Behavior by Observation
Informative Projection Recovery for Classification, Clustering and Regression
Video Shot Segmentation Using Late Fusion Technique
Feature Extraction for Out of Distribution Detection via Self-Supervised Learning
Mitigating IoT-based Cyberattacks on the Smart Grid
Underwater Place Recognition in Unknown Environments with Triplet Based Acoustic Image Retrieval
A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives
WindVibraTransformer: A Foundational Model for Precise and Robust Wind Turbine Condition Monitoring via Vibration Signals
HASeparator: Hyperplane-Assisted Softmax
Evaluating Alignment Techniques for Enhancing LLM Performance in a Closed-Domain Application: A RAG Bench-Marking Study
End-to-End Optimized Pipeline for Prediction of Protein Folding Kinetics
IoT-MGSec: Mitigating Man-in-the-Middle Attacks in IoT Networks Using Graph-Based Learning
Grounding Symbols: Labelling and Resolving Pronoun Resolution with fLIF Neurons
A New, Principled Approach to Anomaly Detection
A Spatio - Temporal Hedonic House Regression Model
Fusion of Real and Synthetic Subtracted Contrast-Enhanced Mammograms for Enhanced Tumor Detection
Testing Intelligent Tutoring System
Multi-Modal AI Approach for Multi-Class Skin Disease Classification
Mining Very Large Databases Using Software Agents
Supervised Music Chord Recognition
Fall Detection in Video Sequences Based on a Three-Stream Convolutional Neural Network
Binary Function Clustering Using Semantic Hashes
Computable Expert Knowledge in Computer Games
A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations
Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets
Sequence Classification with Neural Conditional Random Fields
Screen Unlocking by Spontaneous Flick Reactions with One-Class Classification Approaches
STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Machine Learning for Information Management: Some Promising Directions
CNN-LSTM-Based Deep Recurrent Q-Learning for Robotic Gas Source Localization
12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 2
Augmented Coupled Dictionary Learning for Image Super-Resolution
Trading-Off Mutual Information on Feature Aggregation for Face Recognition
Fault Diagnosis in Railway Track Circuits Using Support Vector Machines
Particle Detector Simulation using Generative Adversarial Networks with Domain Related Constraints
Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data
Evolving Dynamic Forecasting Model for Foreign Currency Exchange Rates Using Plastic Neural Networks
Estimation of Susceptibility to Landslides Using Neural Networks Based on the FALCON-ART Model
Dormant Neural Trojans
Image Generation and Style Transfer Using Conditional Generative Adversarial Networks
A Real-time Digit Gesture Recognition System Based on mmWave Radar
A Novel Approach to Big Data Veracity Using Crowdsourcing Techniques and Bayesian Predictors
Time-based multi-layer perceptron for novelty detection in sensor networks
Knowledge-based Deep Learning for Modeling Chaotic Systems
Multi-Layer Attention-Based Explainability via Transformers for Tabular Data
Theory for Deep Learning Regression Ensembles with Application to Raman Spectroscopy Analysis
The Effectiveness of Machine Learning to Estimate the Risk of Failure in Brazilian Public Contracts
Analyzing the Performance of Hierarchical Binary Classifiers for Multi-class Classification Problem Using Biological Data
Qualified Prediction for Large Data Sets in the Case of Pattern Recognition
Denoising High Resolution Multispectral Images Using Deep Learning Approach
Using Temporal Discovery and Data-Driven Journey-Maps to Predict Customer Satisfaction
DualCam: A Novel Benchmark Dataset for Fine-Grained Real-Time Traffic Light Detection
Achievements Recommendation Framework Based on Scientific Collaboration Network
Gaze Reveals Emotion Perception: Insights from Modelling Naturalistic Face Viewing
Wrapper-Based Feature Ranking for Software Engineering Metrics
Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI
DOC-DICAM: Domain Aware One Class Defect Identification in Composite Aerostructure Material
Behavior Analysis of Parent-Child Interactions from Text
Objective Re-weighting to Guide an Interactive Search Based Software Testing System
Autoencoder-Enhanced Sum-Product Networks
Computed Data-Geometry Based Supervised and Semi-supervised Learning in High Dimensional Data
Early Detection of Mental and Behavioral Health Issues from High-School Academic Performance
Coordinate Descent Fuzzy Twin Support Vector Machine for Classification
Discovering Communities in Social Networks Using Topology and Attributes
Classification in High-Dimensional Feature Spaces: Random Subsample Ensemble
Novel Approaches to Activity Recognition Based on Vector Autoregression and Wavelet Transforms
Data Driven football scouting assistance with simulated player performance extrapolation
Towards Emotion Cause Generation in Natural Language Processing using Deep Learning
Capturing Uncertainty over Time for Spiking Neural Networks by Exploiting Conformal Prediction Sets
PROV-GEM: Automated Provenance Analysis Framework using Graph Embeddings
Acoustic Features for Recognizing Musical Artist Influence
NGM: Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks
Autonomous Clustering Characterization for Categorical Data
DeepPositioning: Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep Learning
Detection of Anomalies in Civil Structures Using Machine Learning Models: Benchmark Study
A New Self-Adaptive Hybrid Approach Based on History-Driven Methods for Improving Metaheuristics
Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information
Consensus Clustering: A Resampling-Based Method for Building Radiation Hybrid Maps
State Summarization of Video Streams for Spatiotemporal Query Matching in Complex Event Processing
Geometrical Analysis of Machine Learning Security in Biometric Authentication Systems
Heuristic Evaluation of Expansions for Non-linear Hierarchical Slow Feature Analysis
Learning Good Features to Track
Gradient Boosted Trees with Extrapolation
Multistep-ahead Streamflow and Reservoir Level Prediction Using ANNs for Production Planning in Hydroelectric Stations
RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications
A Hierarchical Deep Neural Network for Fault Diagnosis on Tennessee-Eastman Process
Catch It If You Can: Real-Time Network Anomaly Detection with Low False Alarm Rates
DDoS Attack Modeling and Detection Using SMO
Physics-Based Constraints in the Forward Modeling Analysis of Time-Correlated Image Data
Multi-Region Tracking for Lung Tumor Motion Assessment
Assessor Models with a Reject Option for Soccer Result Prediction
Classifying Humpback Whale Calls to Song and Non-Song Vocalizations using Bag of Words Descriptor on Acoustic Data
Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control
A Framework for Developing the Next Generation Interactive Soil Moisture Forecasting System Using the Long-Short Term Memory Model
Data-driven and Automatic Surface Texture Analysis Using Persistent Homology
Identifying word boundaries in handwrittem text
19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020
Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing Scenarios
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG
Causal Discovery from Spatio-Temporal Data with Applications to Climate Science
Conformalized Kernel Ridge Regression
A Memory-Enhanced Framework for Financial Fraud Detection
Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures
Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector
A Graph Neural Network Based Learning Model for Urban Metro Flow Prediction
Dynamic Factor Mixture of Experts for Functional Time Series Modeling
Differentiable Kernels in Generalized Matrix Learning Vector Quantization
Event-driven Sentiment Drift Analysis in Text Streams: An Application in a Soccer Match
ECGInsight: A Web Application-Based Approach to Myocardial Infarction Detection From ECG Image Reports Utilizing ResNet
A Transformer-based Approach for Translating Natural Language to Bash Commands
Graphical Model Based Approach for Fault Diagnosis of Wind Turbines
A Probabilistic Graphical Model of Quantum Systems
ONTOCONNECT: Domain-Agnostic Ontology Alignment using Graph Embedding with Negative Sampling
The Biased Multi-objective Optimization Using the Reference Point: Toward the Industrial Logistics Network
Railway Incident Ranking with Machine Learning
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework
Preprocessing in Fuzzy Time Series to Improve the Forecasting Accuracy
Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks
Machine Learning for US Army UAVs Sustainment: Assessing Effect of Sensor Frequency and Placement on Damage Information in the Ultrasound Signals
Comparing Gaussian Mixture Model and Hidden Markov Model to Classify Unique Physical Activities from Accelerometer Sensor Data
Mining over a Reliable Evidential Database: Application on Amphiphilic Chemical Database
Impact of reverberation through deep neural networks on adversarial perturbations
Decision Boundaries of Deep Neural Networks
Image-Audio Encoding for Information Camouflage and Improving Malware Pattern Analysis
Induction of expressive music performance models
Hybrid Method for Fast SVM Training in Applications Involving Large Volumes of Data
Optimizing Multi Commodity Flow Problem Under Uncertainty: A Deep Reinforcement Learning Approach
Lazy Rule Refinement by Knowledge-Based Agents
15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, Anaheim, CA, USA, December 18-20, 2016
AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks
Improving Speed Independent Performance of Fault Diagnosis Systems through Feature Mapping and Normalization
On-Line Signature Verification Using Symbolic Aggregate Approximation (SAX) and Sequential Mining Optimization (SMO)
Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing
A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets
Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems
Study of How the Integration of Artificial Neural Network and Genetic Algorithm Should Be Made for Modeling Meteorological Data
Classification of Patients Using Novel Multivariate Time Series Representations of Physiological Data
Incorporating Incremental and Active Learning for Scene Classification
Improving performance of nearest neighborhood classifier using genetic programming
Using a Family of Perceptron-Based Neural Networks for Detecting Central Vestibular System Problems
Performance Investigation of UCB Policy in Q-learning
Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement Learning
Learning Relevance of Web Resources across Domains to Make Recommendations
An Improved Deterministic Implementation Method for Bayesian Mixture Distributions
Constructing a Deep Regression Model Utilizing Cascaded Sparse Autoencoders and Stochastic Gradient Descent
Structure Learning for Bayesian Networks Using the Physarum Solver
Using Natural Language Processing to Predict Costume Core Vocabulary of Historical Artifacts
Novel Trends in Scaling Up Machine Learning Algorithms
Ensemble Classifiers for Medical Diagnosis of Knee Osteoarthritis Using Gait Data
Low-Bit Quantization and Quantization-Aware Training for Small-Footprint Keyword Spotting
Learning Decision Trees from Uncertain Data with an Evidential EM Approach
Operation Planning of Hydroelectric Systems: Application of Genetic Algorithms and Differential Evolution
Autonomous Navigation in Dynamic Environments with Reinforcement Learning and Heuristic
Learning the Threshold in Hierarchical Agglomerative Clustering
An Evaluation of Low-Shot Learning Techniques for the Detection of Credit Card Fraud
A Markov Decision Processes Modeling for Curricular Analytics
Towards Sleep Apnea Screening with an Under-the-Mattress IR-UWB Radar Using Machine Learning
CRUFT: Context Recognition under Uncertainty using Fusion and Temporal Learning
Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA
Detection of Anti-Human Rights Discourse from Colombian Social Media Conversations Using Advanced Transformer Models
Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment
Neural Data Augmentation Techniques for Time Series Data and its Benefits
Temporal Modeling of Deterioration Patterns and Clustering for Disease Prediction of ALS Patients
A proposal for online analysis and identification of fraudulent financial transactions
Web Ad-Slot Offline Scheduling Using an Ant Colony Algorithm
A Voice Interactive Multilingual Student Support System using IBM Watson
Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning
DeepSplicer: An Improved Method of Splice Sites Prediction using Deep Learning
Mining the Highway-Rail Grade Crossing Crash Data: A Text Mining Approach
Dynamic Patch Sampling for Efficient Training and Dynamic Inference in Vision Transformers
Application of Reinforcement Learning in Development of a New Adaptive Intelligent Traffic Shaper
Evaluation of Deep Learning for Semantic Image Segmentation in Tool Condition Monitoring
Assessing Encoding Techniques through Correlation-Based Metrics
Arabic Text-Dependent Speaker Verification for Mobile Devices Using Artificial Neural Networks
Sequential Transfer Learning for Event Detection and Key Sentence Extraction
An LED Based Indoor Localization System Using k-Means Clustering
Detecting Offensive Content on Twitter During Proud Boys Riots
Multi-view Contrastive Multiple Knowledge Graph Embedding for Knowledge Completion
An Ensemble Learning Framework for Online Web Spam Detection
Bayesian Topological Learning for Brain State Classification
Deep Learning Based Forecasting of COVID-19 Hospitalisation in England: A Comparative Analysis
An exploratory analysis of a dynamic ensemble structure using an automatic decision process
A Machine Learning Approach for Fault Detection in Vehicular Cyber-Physical Systems
An Application of Neural Networks to Predicting Mastery of Learning Outcomes in the Treatment of Autism Spectrum Disorder
Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators
Improving the State Space Representation through Association Rules
Dimensionality reduction for active learning with nearest neighbour classifier in text categorisation problems
Predicting Patient Outcomes from a Few Hours of High Resolution Vital Signs Data
Integration of Chemical and Visual Sensors for Identifying an Odor Source in Near Shore Ocean Conditions
Applying the Meta-heuristic Prediction Algorithm for Modeling Power Density in Wind Power Plant
Modifying kernels using label information improves SVM classification performance
Conformal Wearable for Quantification of Dorsiflexion for a Hemiplegic Ankle Pair with Distinction by Machine Learning
Domain Ontology Induction Using Word Embeddings
17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018
An Experimental Study to Investigate the Use of Additional Classifiers to Improve Information Extraction Accuracy
APAM: Adaptive Pre-Training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-Tailed Learning
Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
A Comparison of Software Fault Imputation Procedures
Case-based learning mechanisms to deliver learning materials