yusuke1997/dblp-id-title huggingface dataset:
Machine Learning for Author Affiliation within Web Forums - Using Statistical Techniques on NLP Features for Online Group Identification
Domain Contextual and Relational Graph Model for Predictive Maintenance
Splitting and Merging Gaussian Mixture Model Components: An Evolutionary Approach
Context-free Self-Conditioned GAN for Trajectory Forecasting
Sequential Pattern Based Temporal Contour Representations for Content-Based Multimedia Timeline Analysis
Machine Learning for Intra-Fraction Tumor Motion Modeling with Respiratory Surrogates
Multi-Stages Genetic Algorithms: Introducing Temporal Structures to Facilitate Selection of Optimal Evolutionary Paths
Homology Preserving Graph Compression
Design of an Intelligent Decision Making System for a Travelling Wave Ultrasonic Motor
Cluster Management of Scientific Literature in HSTOOL
Using Bidirectional Long Short Term Memory with Attention Layer to Estimate Driver Behavior
Autonomous Biological Cell Injection Based on Vision and Motion Control
Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams
Explaining Winning Poker--A Data Mining Approach
Profile-Specific Regression Model for Progression Prediction of Alzheimer's Disease Using Longitudinal Data
Reinforcement Learning based Evolutionary Metric Filtering for High Dimensional Problems
Adaptive Data-driven Approach for the Remaining Useful Life Estimation when Few Historical Degradation Sequences are Available
Recycling Material Classification using Convolutional Neural Networks
Generation of Pedestrian Pose Structures using Generative Adversarial Networks
An Improved Co-Similarity Measure for Document Clustering
MMM-PHC: A Particle-Based Multi-Agent Learning Algorithm
Robust Learning Under Label Noise by Optimizing the Tails of the Loss Distribution
Web based machine learning for language identification and translation
Semantic Data Types in Machine Learning from Healthcare Data
Technologies and Solutions for Trend Detection in Public Literature for Biomarker Discovery
Toward optimal selection of feature clusters
Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images
Building a Biomedical Tokenizer Using the Token Lattice Design Pattern and the Adapted Viterbi Algorithm
Comparison of the Effects of Morphological and Ontological Information on Text Categorization
Enhancing Synthetic Well Logs with PCA-Based GAN Models
Cost-Sensitive Multi-strategy Active Annotation for Text Classification
Using Discriminative Graphical Models for Insurance Recommender Systems
Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation
Rule Extraction from Opaque Models-- A Slightly Different Perspective
The Fifth International Conference on Machine Learning and Applications, ICMLA 2006, Orlando, Florida, USA, 14-16 December 2006
Interestingness Detection in Sports Audio Broadcasts
Comparative Study of Machine Learning Techniques in Prediction of Superfund Sites
LCCspm: l-Length Closed Contiguous Sequential Patterns Mining Algorithm to Find Frequent Athlete Movement Patterns from GPS
Incremental Domain Learning for Surface Quality Inspection of Automotive High Voltage Battery
A Study of Query Optimization for Korean Compound Nouns
Identifying Abbreviation Definitions Machine Learning with Naturally Labeled Data
Active learning of causal probability trees
Classifying Challenging Behaviors in Autism Spectrum Disorder with Word Embeddings
A Pattern Classifying System Based on the Coverage Regions of Objects
Alive on Back-feed Culprit Identification via Machine Learning
Wireless Indoor Positioning Using Online Machine Learning
A Hybrid Machine Learning Approach for Planning Safe Trajectories in Complex Traffic-Scenarios
Resource Allocation Predictive Modeling to Optimize Virtual World Simulator Performance
CyberLlama2 - MEDICALHARM Threat Modeling Assistant
Analysis for Status of the Road Accident Occurance and Determination of the Risk of Accident by Machine Learning in Istanbul
O-linked Glycosylation Site Prediction Using Ensemble of Graphical Models
An Intelligent Decision Support Tool for a Travelling Wave Ultrasonic Motor Based on k-Nearest Neighbor Algorithm
Intelligent Soccer Event Detection and Highlights Generation with Broadcast Cues Integration
Semantic Word Spaces for Robust Role Labeling
Moving Cast Shadow Detection in Video Based on New Chromatic Criteria and Statistical Modeling
Incorporating Gene Significance in the Impact Analysis of Signaling Pathways
Hardware Implementation of a Real-Time Neural Network Controller Set for Reactive Power Compensation Systems
Establishment of a Diagnostic Decision Support System in Genetic Dysmorphology
Video Steganalysis Based on the Expanded Markov and Joint Distribution on the Transform Domains Detecting MSU StegoVideo
Edge-Centric Real-Time Segmentation for Autonomous Underwater Cave Exploration
Basin Clustering of Turkey by Use of Monthly Stream-Flow Data
Towards Web Spam Filtering Using a Classifier Based on the Minimum Description Length Principle
A Combination of Positive and Negative Fuzzy Rules for Image Classification Problem
Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning
Solar Radiation Prediction Improvement Using Weather Forecasts
A Graph-Based Recommendation Model Using Contrastive Learning for Inductive Scenario
Rethinking Real Estate Pricing with Transformer Graph Neural Networks (T-GNN)
Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data
Intelligent Crude Oil Price Forecaster
Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach
Energy-Based Models Trained with Equilibrium Propagation are Inherently Robust
Deep Neural Networks for Detecting Asteroids in the ATLAS Data Pipeline
Towards Incremental Learning of Mildly Context-Sensitive Grammars
A Novel Energy Saving and Power Production System Performance Analysis in Marine Power Plant Using Waste Heat
Partly Supervised Multi-Task Learning
Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams
Machine learning protocol from ultrasound data for monitoring, predicting, and supporting the analysis of dam slopes
A Joint Speech Enhancement Algorithm Based on the Tri-Microphone
Multimodal Sentiment Analysis Using Deep Learning
LiveFace: A Multi-task CNN for Fast Face-Authentication
Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration
Hyperparameter Optimization of Topological Features for Machine Learning Applications
Spontaneous Facial Expression Recognition: A Part Based Approach
Bayesian Rule Ontologies For XAI Classification and Regression
Adaptive Selection of Helper-Objectives with Reinforcement Learning
Automatic Algorithm Recognition of Source-Code Using Machine Learning
Real-Time American Sign Language Recognition System Using Surface EMG Signal
A Lightweight Deep Recurrent Q-Learning Technique for Autonomous Wildfire Surveillance
Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks
Naive Bayes Classification Given Probability Estimation Trees
Bayesian Sampler: Fairness in Sampling
COCLUBERT: Clustering Machine Learning Source Code
Data-centric automated data mining
Area-Specific Crime Prediction Models
Model evaluation for prognostics: estimating cost saving for the end users
Towards a Class-Based Representation of Perceptual Tempo for Music Retrieval
Prognosis Based on Handling Drifts in Dynamical Environments: Application to a Wind Turbine Benchmark
Know-Linking: An approach to generate shared knowledge between several actors in companies application in aerospace manufacturer
Phase Identification in Electric Power Distribution Systems by Clustering of Smart Meter Data
Towards a Classifying Artificial Immune System for Web Server Attacks
Fast Counterfactual Explanation for Solar Flare Prediction
Mixed Type Multi-attribute Pairwise Comparisons Learning
Ensembling Sparse Representation Classifiers through Layers of Support Vector Machines
EVISClass: a new evaluation method for image data stream classifiers
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection
Impact of the Predicted Protein Structural Content on Prediction of Structural Classes for the Twilight Zone Proteins
Autoencoder Ensemble Method for Botnets Detection on IOT Devices
Pandemic spread prediction and healthcare preparedness through financial and mobility data
Improvement of Transient Response of PI Controller with Reference Modification for Digitally Controlled DC-DC Converter
Detection of Exfiltration and Tunneling over DNS
Peptide Sequence Tag-Based Blind Identification-based SVM Model
Thompson Sampling for Dynamic Multi-armed Bandits
An Application of Document Embeddings to Identifying Challenging Behaviors in Autism Spectrum Disorder From Clinical Notes
Building Synthetic Networks of the Budding Yeast Cell-Cycle Using Swarm Intelligence
Pragmatic and ML Approaches to Backfilling Missing Data Within Time Series Datasets
Multi-Slice Clustering for 3-order Tensor
Real Time Data Science Decision Tree Approach to Approve Bank Loan from Lawyer's Perspective
The Effectiveness of Bigrams in Automated Text Categorization
Detailed Identification of Fingerprints Using Convolutional Neural Networks
Monitoring Karting Pilot's Moodflow: a First Experience
Visual Speech Detection Using an Unsupervised Learning Framework
In Search of Probeable Generalization Measures
An Analysis of Univariate and Multivariate Electrocardiography Signal Classification
Deduplication of Advertisement Assets Using Deep Learning Ensembles
An Empirical Study of Cross-Lingual Transfer Learning Techniques for Small-Footprint Keyword Spotting
On-Board Pedestrian Trajectory Prediction Using Behavioral Features
The Innate Curiosity in the Multi-Agent Transformer
Region Based Anomaly Detection with Real-Time Training and Analysis
Speaker Clustering Using Trails in Feature Space
Can We Minimize the Influence Due to Gender and Race in Age Estimation?
Classifying the Ideological Orientation of User-Submitted Texts in Social Media
Combining Temporal Event Relations and Pre-Trained Language Models for Text Summarization
Evaluating Sentiments in Social Media Comments on Tax Transformation in India using Deep Learning
Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction
IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System
Legislative Vote Prediction using Campaign Donations and Fuzzy Hierarchical Communities
A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers
Online Structure-Search for Sum-Product Networks
The State of Machine Learning Methodology in Software Fault Prediction
Machine Learning for Optimum CT-Prediction for qPCR
Obstacle avoidance using image flow in an RT-Linux environment in a PC-104 platform
Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization
Interpretable Classifier for Identifying High-Value Child Support Cases
Simplifying the Utilization of Machine Learning Techniques for Bioinformatics
Interpreting Attention Models: LSTM vs. CNN : A case study on customer activation
Scopira: a pattern recognition application framework for biomedical datasets
Seventh International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, California, USA, 11-13 December 2008
Consensus Feature Ranking in Datasets with Missing Values
Breast Cancer Segmentation on Ultrasound Images using U-Net and Grad-CAM
Inertia Based Recognition of Daily Activities with ANNs and Spectrotemporal Features
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval
Re-identification Robustness Over Time - The Case for Synthetic Training Data
SVMotif: A Machine Learning Motif Algorithm
Symbolic-Based Recurrent Neural Networks for Metamodeling of Nonlinear Structural Models
Model Guided Deep Learning Approach Towards Prediction of Physical System Behavior
Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery
Fuzzy Model Tree for Early Effort Estimation
Contextual road lane and symbol generation for autonomous driving
Software package for regression algorithms based on Gaussian Conditional Random Fields
Sampling-Based Subnetwork Identification from Microarray Data and Protein-Protein Interaction Network
Variable Selection: A Statistical Dependence Perspective
Classification, Segmentation and Chronological Prediction of Cinematic Sound
Impact of Labeling Noise on Machine Learning: A Cost-aware Empirical Study
Improving Next-Application Prediction with Deep Personalized-Attention Neural Network
Early Prediction of College Attrition Using Data Mining
f2tag - Can Tags be Predicted Using Formulas?
Asynchronous Multitask Reinforcement Learning with Dropout for Continuous Control
Distance Metric Learning and Support Vector Machines for Classification of Mass Spectrometry Proteomics Data
Analyzing the Gender Wage Gap in Ontario's Public Sector
Whitening Consistently Improves Self-Supervised Learning
Uncertainty-Aware Personalized Readability Assessments for Second Language Learners
A Sequential Ensemble Classification (SEC) System for Tackling the Problem of Unbalance Learning: A Case Study
Identifying Accuracy of Social Tags by Using Clustering Representations of Song Lyrics
Multi-Label Classification of CS Papers Using Natural Language Processing Models
A Hybrid Multi-classifier to Characterize and Interpret Hemiparetic Patients Gait Coordination
Aspect-based Sentiment Analysis of English and Hindi Opinionated Social Media Texts
On the discovery of semantically enhanced sequential patterns
An Incremental Parallel Particle Swarm Approach for Classification Rule Discovery from Dynamic Data
Analysis of Causality in Stock Market Data
An incremental viterbi algorithm
AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models
Asymmetric Gaussian-Based Statistical Models Using Markov Chain Monte Carlo Techniques for Image Categorization
Application of a Graphical Model to Investigate the Utility of Cross-Channel Information for Mitigating Reverberation in Cochlear Implants
Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
Using association rules without understanding their underlying causality reduces their decision value
Bag of Bags: Nested Multi Instance Classification for Prostate Cancer Detection
PS3DT: Synthetic Speech Detection Using Patched Spectrogram Transformer
ML Democracy: An Enhanced Voting Algorithm for Model Selection for Efficient EEG Data Assessment
Time-Sensitive Adaptation of Regularization Strength of Recurrent Neural Networks for Accurate Learning
LSH vs Randomized Partition Trees: Which One to Use for Nearest Neighbor Search?
Using Text Mining to Categorize the Purpose of Public Spending for the Benefit of Transparency and Accountability
Improving Aquaculture Systems using AI: Employing predictive models for Biomass Estimation on Sonar Images
A Deep Learning Framework for Time-Series Processing-Microstructure-Property Prediction
Constrained Sparse Dynamic Time Warping
Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions
A Qualia Framework for Ladar 3D Object Classification
Neural Fingerprint Enhancement
A Deep Structural Model for Analyzing Correlated Multivariate Time Series
Hybrid Quantum-Classical Machine Learning for Sentiment Analysis
Character-level Adversarial Examples in Arabic
Nonparametric Feature Extraction via Direct Maximum Margin Alignment
Large Scale URL-based Classification Using Online Incremental Learning
Radioisotope Identification Using CLYC Detectors
Tree-Structured Curriculum Learning Based on Semantic Similarity of Text
CSNNs: Unsupervised, Backpropagation-Free Convolutional Neural Networks for Representation Learning
Parallel Attention Mechanisms in Neural Machine Translation
Integrated Framework for Improving Large-Scale Hierarchical Classification
Worst-Case Execution Time Test Generation for Augmenting Path Maximum Flow Algorithms Using Genetic Algorithms
Adversarial Spam Detection Using the Randomized Hough Transform-Support Vector Machine
Intra-Day Price Simulation with Generative Adversarial Modelling of the Order Flow
Segmental Analysis and Evaluation of User Focused Search Process
Automatic Key Information Extraction from Visually Rich Documents
Integrating Active Learning with Supervision for Crowdsourcing Generalization
Bayesian Network Classification: Application to Epilepsy Type Prediction Using PET Scan Data
TSEvo: Evolutionary Counterfactual Explanations for Time Series Classification
A Topological "Reading" Lesson: Classification of MNIST using TDA
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm
Automated Optimal Architecture of Deep Convolutional Neural Networks for Image Recognition
Combining Rule Induction and Reinforcement Learning: An Agent-based Vehicle Routing
Towards Understanding the Psychological Effects of the COVID-19 Pandemic on the Indian Population
Author Identification Using Deep Learning
An Extended Study of the Applications of Using Gesture Control to Pilot UAVs
A Novel Neural Network Based Control Method with Adaptive On-Line Training for DC-DC Converters
Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules
Robust Detection of Line Numbers in Piping and Instrumentation Diagrams (P&IDs)
Colorectal Polyp Segmentation by U-Net with Dilation Convolution
A Normalized Criterion of Spatial Clustering in Model-Based Framework
A new time series prediction algorithm based on moving average of nth-order difference
Automatically Discovering Fatigue Patterns from Sparsely Labelled Temporal Data
16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, Cancun, Mexico, December 18-21, 2017
Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure
Determining Suitability of Locations for Installation of Solar Power Station Based on Probabilistic Inference
Ensembles of Long Short-Term Memory Experts for Streaming Data with Sudden Concept Drift
Pairwise Constrained Clustering with Group Similarity-Based Patterns
Automating ECU Identification for Vehicle Security
Advanced Image Classification Using Wavelets and Convolutional Neural Networks
Motion Compensated X-ray CT Algorithm for Moving Objects
Learning Mathematical Relations Using Deep Tree Models
Interpretability and Reproducability in Production Machine Learning Applications
PIPENet: A Semantic Segmentation Approach to Pipeline Component Detection from Magnetic Flux Leakage Readings
LE-CapsNet: A Light and Enhanced Capsule Network
An Evolutionary Approach to General-Purpose Automated Speed and Lane Change Behavior
A Hybrid Method for Estimating the Predominant Number of Clusters in a Data Set
Identifying Anomalies in Parliamentary Expenditures of Brazilian Chamber of Deputies with Deep Autoencoders
Online Cluster Drift Detection for Novelty Detection in Data Streams
Predicting Energy Demand Peak Using M5 Model Trees
Action Selection in Reinforcement Learning with Upgoing Policy Update
Group Testing in the Development of an Expanded Cancer Staging System
Multi-query Optimization in Federated Databases Using Evolutionary Algorithm
Influential nodes detection in complex networks via diffusion Fréchet function
12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 1
Association Learning in SOMs for Fuzzy-Classification
Graph Neural Networks for Model Recommendation using Time Series Data
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation
Measuring and Modelling Delays in Robot Manipulators for Temporally Precise Control Using Machine Learning
A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments
An Agent-Based Distance Teaching System
Context-Aware Neural Video Compression on Solar Dynamics Observatory
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches
L1-Norm Principal-Component Analysis via Bit Flipping
Implementation of Machine Learning for Classifying Hemiplegic Gait Disparity through Use of a Force Plate
Identifying Duplicate Police Reports
Reducing the Cost of Breaking Audio CAPTCHAs by Active and Semi-supervised Learning
Learning Recognition of Ambiguous Proper Names in Hindi
Deeper Neural Networks with Non-Vanishing Logistic Hidden Units: NoVa vs. ReLU Neurons
cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial Network
Direct Multiclass Boosting Using Base Classifiers' Posterior Probabilities Estimates
Evolutionary User Modelling in an Adaptive Information Retrieval System
Quantization of Global Gene Expression Data
Analytically Determining the Robustness of Binarized Neural Networks
Semi Supervised Learning for Human Activity Recognition Using Depth Cameras
LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on Color
Ensemble Possibilistic K-NN for Functional Clustering of Gene Expression Profiles in Human Cancers Challenge
Expert Bayes: Automatically Refining Manually Built Bayesian Networks
Outlier detection and evaluation by network flow
Randomized and Rank Based Differential Evolution
Prediction of Sunspot Number Using Minimum Error Entropy Cost Based Kernel Adaptive Filters
Large Scale Classification with Support Vector Machine Algorithms
A Predictive Model for Imitation Learning in Partially Observable Environments
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights
Effects of COVID-19 on individuals in Opioid Addiction Recovery
Course Learning Outcome Performance Improvement: A Remedial Action Classification Based Approach
Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection
A Novel Algorithm for Dynamic Clustering: Properties and Performance
Hybridization of Base Classifiers of Random Subsample Ensembles for Enhanced Performance in High Dimensional Feature Spaces
Graph Pyramid Autoformer for Long- Term Traffic Forecasting
Density-Based Fuzzy C-Means Multi-center Re-clustering Radar Signal Sorting Algorithm
Aspect Oriented Suggestion Extraction from Online Reviews
Histogram Layers for Synthetic Aperture Sonar Imagery
FIT-EVE&ADAM: Estimation of Velocity & Energy for Automated Diet Activity Monitoring
A New Approach to Classification with the Least Number of Features
The Role of Middleware in Information Systems Strategy
Detecting Web Content Function Using Generalized Hidden Markov Model
An Enhanced YOLO Failure Detection Method
Power Flow Approximation Based on Graph Convolutional Networks
Genetically Supervised Self-Organizing Map for the Classification of Glass Samples
Sentiment Classification on Twitter(X) Through Ensemble Deep Random Vector Functional Links
Audio-based Depression Screening using Sliding Window Sub-clip Pooling
SEDAT: Sentiment and Emotion Detection in Arabic Text Using CNN-LSTM Deep Learning
Sparse classifiers for Automated HeartWall Motion Abnormality Detection
Sonar-to-Satellite Translation using Deep Learning
Automatic Grading of Computer Programs: A Machine Learning Approach
An Investigation of Non-Uniform Error Cost Function Design in Automatic Speech Recognition
Crayfish Robot Employing Flow Induced by Waving to Locate a Chemical Source
Deformable Registration of Low-overlapping Medical Images
Switching for functional localization of genetic network programming
A Temporal Difference GNG-Based Algorithm That Can Learn to Control in Reinforcement Learning Environments
Text Mining and Ontology Applications in Bioinformatics and GIS
An Investigation of Dynamic Feature Selection Methods Applied to Classifier Ensembles
Tensor-Based Temporal Behavior Analysis in Pain Medicine
Enabling Rewards for Reinforcement Learning in Laser Beam Welding processes through Deep Learning
Product Recommendation System for Supermarket