yusuke1997/dblp-id-title huggingface dataset:
Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics System
Probability of default estimation, with a reject option
General in-situ matrix transposition algorithm for massively parallel environments
Label Distribution Learning with Data Augmentation using Generative Adversarial Networks
Improving Product Placement in Retail with Generalized High-Utility Itemsets
An incremental scheme for large-scale social-based recommender systems
Tensor Decision Trees for Continual Learning from Drifting Data Streams
Diverse and Plausible Counterfactual Explanations for Time Series via Latent Space Optimization
Federated Deep Recommendation System Based on Multi-View Feature Embedding
HANKE: Hierarchical Attention Networks for Knowledge Extraction in Political Science Domain
Dehazing algorithm's high performance and parallel computing for GF-1 Satellite Images
There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas
Contextual Advertising Strategy Generation via Attention and Interaction Guidance
Percept U-Net: Percept Attention-based Convolutional Neural Network for Atrial Fibrillation Episode Localization
A naïve Bayesian classifier in categorical uncertain data streams
Towards Deep Learning Models for Automatic Computer Program Grading
Predictive Modeling for Identifying Return Defaulters in Goods and Services Tax
Explaining Explanations: An Overview of Interpretability of Machine Learning
Stress Prediction from Head Motion
Learning Data Mining
CACTUS: Cross-Aligned Counterfactual Explanation for Time Series Classification
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities
GS 2 P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search
Sentiment analysis as a text categorization task: A study on feature and algorithm selection for Italian language
AutoAD: an Automated Framework for Unsupervised Anomaly Detectio
The use of machine learning to identify the correctness of HS Code for the customs import declarations
Quantification in social networks
11th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2024, San Diego, CA, USA, October 6-10, 2024
Label, Segment, Featurize: A Cross Domain Framework for Prediction Engineering
Non-Redundant Image Clustering of Early Medieval Glass Beads
Improving Pairwise Rank Aggregation via Querying for Rank Difference
Estimate and Reduce Uncertainty in Uncertain Graphs
Emotion-based Dynamic Difficulty Adjustment in Video Games
Underwater Localization based on Robust Privacy-Preserving and Intelligent Correction of Sound Velocity
Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks
Information diffusion among users on Facebook fan pages over time: Its impact on movie box office
Incorporating Accuracy and Diversity in a News Recommender System
From Engineering Diagrams to Graphs: Digitizing P&IDs with Transformers
9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022
FARE: Schema-Agnostic Anomaly Detection in Social Event Logs
Decoupling Autoencoders for Robust One-vs-Rest Classification
Towards optimized actions in critical situations of soccer games with deep reinforcement learning
8th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2021, Porto, Portugal, October 6-9, 2021
Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text
Efficient Modeling of Digital Shadows for Production Processes: A Case Study for Quality Prediction in High Pressure Die Casting Processes
Cross-Dataset Evaluation of Multimodal Neural Networks for Glaucoma Diagnosis
A New Framework for Causal Inference Without Missing Data Analysis: Bayes Optimal Treatment Effect Estimation
Deconstructing Domain Names to Reveal Latent Topics
TESS: Temporal event sequence summarization
Multi-instance Multi-label Learning Based on Parallel Attention and Local Label Manifold Correlation
Finite-Sample Bounds for Two-Distribution Hypothesis Tests
Time series contextual anomaly detection for detecting market manipulation in stock market
Evaluating and predicting energy consumption of data mining algorithms on mobile devices
Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction
RadiusSketch: Massively Distributed Indexing of Time Series
Customized Interpretable Conformal Regressors
Using Hypervectors for Efficient Anomaly Detection in Graph Streams
Dimensionality-adaptive k-center in sliding windows
Steganalysis Feature Subspace Selection Based on Fisher Criterion
Dynamic and Heterogeneous Ensembles for Time Series Forecasting
Privacy-Preserving GWAS Computation on Outsourced Data Encrypted under Multiple Keys Through Hybrid System
Critical class sensitive active learning method for classification of remote sensing imagery
Prompt-Based Contrastive Learning to Combat the COVID-19 Infodemic
Crowdsourced data analytics: A case study of a predictive modeling competition
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks
RIC-NN: A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy
A Distributed Decision Tree Algorithm and Its Implementation on Big Data Platforms
An Automatic Document Summarization Approach based on Fuzzy Ontology and Machine Learning
A Study of Stochastic Mixed Membership Models for Link Prediction in Social Networks
Data Augmentation's Effect on Machine Learning Models when Learning with Imbalanced Data
Semi-Supervised Coarsening of Bipartite Graphs for Text Classification via Graph Neural Network
Geo-Spatial Multimedia Sentiment Analysis in Disasters
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge
Word Segmentation Algorithms with Lexical Resources for Hashtag Classification
Copula-Based High Dimensional Cross-Market Dependence Modeling
A Distance Metric for Sets of Events
Prioritization of Identified Data Science Use Cases in Industrial Manufacturing via C-EDIF Scoring
On the Jeffreys-Lindley Paradox and the Looming Reproducibility Crisis in Machine Learning
Resolving the message riddle: A multi-pronged approach to infer trouble tickets
Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases
MARS: Memory Attention-Aware Recommender System
Detection (Reconstruction) of Long-Lived Particle Tracks in LHCb Experiment, CERN
A Graph Convolutional Encoder and Decoder Model for Rumor Detection
Multi Algorithm Selection and Hyperparameter Optimization for Automated Clustering
The k-Nearest Representatives Classifier: A Distance-Based Classifier with Strong Generalization Bounds
Hierarchical label partitioning for large scale classification
Latent Dimensionality Estimation for Probabilistic Canonical Correlation Analysis Using Normalized Maximum Likelihood Code-Length
Recommending funding collaborators with scholar social networks
Link prediction and threads in email networks
A probabilistic condensed representation of data for stream mining
Drone Swarm Sensitivity Estimation Using Bayesian Theory for Search and Rescue Operations
Interpreting Black-box Machine Learning Models for High Dimensional Datasets
Sharing sensitive medical data sets for research purposes - A case study
Automatic Feature Engineering for Time Series Extrinsic Regression: A Comparative Study of Signal Processing Libraries
Unfolding temporal networks through statistically significant graph evolution rules
Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry
1NN-DTW ARIMA LSTM: A new ensemble for forecasting multi-domain/multi-context time series
Welcome from DSAA 2014 chairs
Utilizing MODIS Fire Mask for Predicting Forest Fires Using Landsat-9/8 and Meteorological Data
A Personalized Overdraft Protection Framework
Instils Trust in Random Forest Predictions
Closest Interval Join Using MapReduce
Data-driven semantic concept analysis for automatic actionable ontology design
XPROAX-Local explanations for text classification with progressive neighborhood approximation
NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks
Dual Channel Hybrid Messaging-Passing Graph Convolutional Network for Recommendation
Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses
BRL: Learning behavior representations of Reversi players
Multivariate Time Series Analysis: An Interpretable CNN-based Model
Cross-Modal Image-Text Matching via Coupled Projection Learning Hashing
Near-duplicated Loss for Accurate Object Localization
Fully Heterogeneous Collective Regression
Automating Big Data Analysis Based on Deep Learning Generation by Automatic Service Composition
A Shape-Based Approach to Spatio-Temporal Data Analysis Using Satellite Imagery
A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine
Maritime Pattern Extraction from AIS Data Using a Genetic Algorithm
Gradient Reversal against Discrimination: A Fair Neural Network Learning Approach
StatsReduce in the cloud for approximate Analytics
YOLO-based Object Detection in Panoramic Images of Smart Buildings
Abstract Argumentation for Explainable Satellite Scheduling
A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter
Unsupervised Instance and Subnetwork Selection for Network Data
Starting Movement Detection of Cyclists Using Smart Devices
Determinants of Growth in Micro and Small Enterprises: Empirical Evidence from Jordan
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition
Atrous-CNN with Hierarchical-Based Training Strategy Approach for Decentralized Tasks
Cryptocurrencies asset pricing via machine learning: Extended abstract
Succinctly summarizing machine usage via multi-subspace clustering of multi-sensor data
Why is the prediction wrong? Towards underfitting case explanation via meta-classification
Predicting online video engagement using clickstreams
Data Profiling Method for Metadata Management
DaskDB: Scalable Data Science with Unified Data Analytics and In Situ Query Processing
On selecting feature-value pairs on smart phones for activity inferences
Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-Grained Motor Behavior Recognition
Sliding Window Sampling over Data Stream - a Solution Based on Devil's Staircases
MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical Data
A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting
Role Models: Mining Role Transitions Data in IT Project Management
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting
Conditional t-SNE: More informative t-SNE embeddings
Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports
BASS: Blockchain-Based Asynchronous SignSGD for Robust Collaborative Data Mining
MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers
Regression Based Model for Autosteering of a Car with Delayed Steering Response
First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery
Toward a Realistic Benchmark for Out-of-Distribution Detection
Blockwise Spectral Analysis for Deepfake Detection in High-fidelity Videos
Website Navigation Behavior Analysis for Bot Detection
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning
CO2Vec: Embeddings of Co-Ordered Networks Based on Mutual Reinforcement
A Directional Change Based Trading Strategy with Dynamic Thresholds
More Options for Prelabor Rupture of Membranes, A Bayesian Analysis
Modelling User Influence and Rumor Propagation on Twitter using Hawkes Processes
On-line detection of continuous changes in stochastic processes
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss
Metapath-Free Heterogeneous Network Embedding via Heterogeneous Adjacency Matrix Reconstruction Based Mask Graph Autoencoders and Semantic Relation Aggregation
Cluster-based data oriented hashing
Infinite Langevin Mixture Modeling and Feature Selection
Rough possibilistic meta-clustering of retail datasets
System Network Analytics: Evolution and Stable Rules of a State Series
HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing
UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape
Attention-aware Multi-hop Trust Inference in Online Social Networks
Can Large Language Models be Anomaly Detectors for Time Series?
Positive-Unlabeled Domain Adaptation
Multi-Objective Quantum Power System Redispatch
Weak Nodes Detection in Urban Transport Systems: Planning for Resilience in Singapore
Separating Storage and Compute with the Databricks Lakehouse Platform
Offshore Asset Inspection Redefined: Expert- Validated Deep Learning for Critical Defects
Learning Temporal Dependence from Time-Series Data with Latent Variables
Mobility Genome™- A Framework for Mobility Intelligence from Large-Scale Spatio-Temporal Data
Data Reduction for real-time bridge vibration data on Edge
Towards Contiguous Sequences in Uncertain Data
Towards a (Semi-)Automatic Urban Planning Rule Identification in the French Language
Content specific coverage patterns for banner advertisement placement
Statistically Inspired Discrepancy Detection for Anomalous Spatio-Temporal Graphs (Extended Abstract)
Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data
Depression Detection Based on Human Simple Kinematic Skeletal Data
An implementation of the efficient huge amount of pseudo-random unique numbers generator and the acceleration analysis of parallelization
The Directionality Function Defect of Performance Evaluation Method in Regression Neural Network for Stock Price Prediction
On the Use of Class Activation Maps in Remote Sensing: the case of Illegal Landfills
A Side Information Enhanced Matrix Factorization Approach via Hierarchical Generalized Linear Model
FCA for Common Interest Communities discovering
Identifying Survival-Changing Sequential Patterns for Employee Attrition Analysis
Individual Survival Curves with Conditional Normalizing Flows
Label noise correction methods
A unifying model for representing time-varying graphs
An unsupervised attribute clustering algorithm for unsupervised feature selection
Magazine Supply Optimization: A Case-Study
Behavior-Oriented Time Segmentation for Mining Individualized Rules of Mobile Phone Users
Local feature based dynamic time warping
Predicting Workplace Injuries Using Machine Learning Algorithms
Pattern Matching Trajectories for Investigative Graph Searches
Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting
Predicting Player Churn with LLMs: A Comprehensive Evaluation of World Knowledge and Reasoning
Situational Awareness from Social Media Photographs Using Automated Image Captioning
Parallel Least-Squares Policy Iteration
Matrix completion based on feature vector and function approximation
Combining Static and Dynamic Features for Multivariate Sequence Classification
The Data and Science behind GrabShare Carpooling
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data: Extended Abstract
Latent Dirichlet Allocation in Discovering Goals in Patients Undergoing Bladder Cancer Surgery
Exploiting feature relationships towards stable feature selection
Privacy-aware Adaptive Collaborative Learning Approach for Distributed Edge Networks
Link Prediction on Graphs Using NLP Embedding
NDlib: Studying Network Diffusion Dynamics
Document similarity analysis via involving both explicit and implicit semantic couplings
Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models
Atlastic Reputation AI: Four Years of Advancing and Applying a SOTA NLP Classifier
MLife: A Lite Framework for Machine Learning Lifecycle Initialization
Causal Patterns: Extraction of Multiple Causal Relationships by Mixture of Probabilistic Partial Canonical Correlation Analysis
What Makes a Video Memorable?
Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity
Discovering and tracking influencer-influencee relationships between online communities
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery
Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring
DSAA 2018 Special Session: Data Science for Social Good
Image Classification Based on Deep Graph Convolutional Networks
AMD-DBSCAN: An Adaptive Multi-density DBSCAN for datasets of extremely variable density
Short-term Forecast and Long-term Simulation for Accurate Energy Consumption Prediction
Unveiling Fairness and Performance of Causal Discovery
A Generalized Optimization Embedded Framework of Undersampling Ensembles for Imbalanced Classification
Multi-task Network Embedding
Individualized arrhythmia detection with ECG signals from wearable devices
A new consensus function based on dual-similarity measurements for clustering ensemble
A Case Study on Reducing Auto Insurance Attrition with Econometrics, Machine Learning, and A/B Testing
UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement
A Full-Stack Machine Learning Environment for Rapidly Evolving Industry Applications
EPDD: Electrocardiogram-Based Pulmonary Disease Detector Using Machine Learning
Every Tweet Counts? Sentiment Analysis of Public Response Toward Indonesia's Free Nutritious Meal Program
Random Forest Framework Customized to Handle Highly Correlated Variables: An Extensive Experimental Study Applied to Feature Selection in Genetic Data
ADT++: Advanced Adversarial Distributional Training with Class-Wise Robustness
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?
Denoising of Magnetic Resonance Images with Deep Neural Regularizer Driven by Image Prior
ZigBee Network for AGV Communication in Industrial Environments
Wetting and Drying of Soil: From Data to Understandable Models for Prediction
Online Explainable Model Selection for Time Series Forecasting
CSAR: The Cross-Sectional Autoregression Model
Accurately Quantifying a Billion Instances per Second
Feature Enhanced Fully Convolutional Networks for Monocular Depth Estimation
Electricity Price Forecasting based on Order Books: a differentiable optimization approach
Towards Privacy-Preserving Deep Learning: Opportunities and Challenges
Discovering Periodicity in Locally Repeating Patterns
On-Board Unit Big Data: Short-term Traffic Forecasting in Urban Transportation Networks
Probabilistic Category-based Location Recommendation Utilizing Temporal Influence and Geographical Influence
Diversified ranking on graphs from the influence maximization viewpoint
AnonML: Locally Private Machine Learning over a Network of Peers
Coded Term Discovery for Online Hate Speech Detection
On Spectral Analysis of Directed Signed Graphs
Are GNNs the Right Tool to Mine the Blockchain? The Case of the Bitcoin Generator Scam
Alignment of Multilingual Embeddings to Estimate Job Similarities in Online Labour Market
Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines
Practical Deep Learning Architecture Optimization
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns
Semantic Trajectory Modeling for Dynamic Built Environments
Tutorial 1: NVIDIA's platform for Deep Neural Networks
motif2vec: Semantic-aware Representation Learning for Wearables' Time Series Data
Learning Fashion Similarity Based on Hierarchical Attribute Embedding
The Value of Diversity for Dealing with Concept Drift in Class-Imbalanced Data Streams
The sexy job in the next ten years will be statisticians
The Highly Adaptive Lasso Estimator
Detecting stock market manipulation using supervised learning algorithms
PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction
3M-Transformers for Event Coding on Organized Crime Domain
Economic Worth-Aware Word Embeddings
Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls
Using emotions to predict user interest areas in online social networks
Debate on political reforms in Twitter: A hashtag-driven analysis of political polarization
Human judgments in hiring decisions based on online social network profiles
Scalable and Interpretable Predictive Models for Electronic Health Records
Similarity analysis of service descriptions for efficient Web service discovery
Modeling temporal dependencies in data using a DBN-LSTM
Diversification recommendation of popular articles in micro-blog scenario
Exploiting big data in time series forecasting: A cross-sectional approach
Sentiment detection and visualization of Chinese micro-blog
3D Point Cloud Classification Using Graph Convolutional Network with Multi-Scale Pooling
Towards LLM-Guided Healthcare Dataset Harmonization
Senpy: A Pragmatic Linked Sentiment Analysis Framework
A Spatial-Cue-Based Probabilistic Model for Bird Song Scene Analysis
12th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2025, Birmingham, United Kingdom, October 9-12, 2025
A Rapid Prototyping Approach for High Performance Density-Based Clustering
Using Players' Gameplay Action-Decision Profiles to Prescribe Training: Reducing Training Costs with Serious Games Analytics
Identification of Signal and Noise Components in Spacecraft Neutral Particle Data Using a Bi-Level Mixture Model
Positive emotions help rank negative reviews for sellers and producers in e-commerce
Investigating sample selection bias in the relevance feedback algorithm of the vector space model for Information Retrieval
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations
Eye Movement Attention Based Depression Detection Model
CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions
Community Splitter: A Network Embedding Method for Predicting Missing Links
HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets
Special session on trends & controversies in data science (TCDS)
Forecasting Dissolved Oxygen Based on Two-Stage Decomposition with BiLSTM-Attention and weighted Huber Loss Function
Attributed Network Embedding with Community Preservation
A Transfer Learning Framework For Annotating Implementation-Specific Corpus
Sparse Linear Discriminant Analysis in Structured Covariates Space
Location semantics prediction for living analytics by mining smartphone data
A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting Using TimesNet (Extended Abstract)
Precision Coupon Targeting with Dynamic Customer Triage
Opportunities and Risks for Data Science in Organizations: Banking, Finance, and Policy - Special Session Overview
A Global Dataset-Specific Any-Order Minimal Expectation Baseline for Saliency Scores
Captioning with Language-Based Attention
A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data Streams
Global Income Inequality and Savings: A Data Science Perspective
A model-based approach for identifying spammers in social networks
Cluster Quality Analysis Using Silhouette Score
Mining high-utility itemsets with various discount strategies
SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP
Spatial-Temporal Residual Multi-Graph Convolution Network for Traffic Forecasting
Ensemble of Hierarchical Temporal Memory for Anomaly Detection