yusuke1997/dblp-id-title huggingface dataset:
Community detection in social networks: The power of ensemble methods
A data reusing strategy based on hive
Higher Order Mining for Monitoring District Heating Substations
An improved dynamic adaptive multi-tree search anti-collision algorithm based on RFID
A context-aware approach to detection of short irrelevant texts
Misalignment problem in matrix decomposition with missing values
Anomaly Detection Under Contaminated Data: A Weighted Iterative Refinement Framework for Health Monitoring
Enhancing Medical Diagnosis with Instance Hardness-Guided Multi-Level Cross-Validation for Imbalanced Learning
On the Classification Consistency of High-Dimensional Sparse Neural Network
Analyzing Cultural Assimilation through the Lens of Yelp Restaurant Reviews
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory
Uplift Modeling for Multiple Treatments with Cost Optimization
Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series
TiSA: a Time Interval Aware Self-Attention model for Popularity Prediction on Social Networks
Incorporating neighborhood features in RNNs for popularity forecasting for emerging research fields
Human Evaluation of GPT for Scalable Python Programming Exercise Generation
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks
Mining Research Problems from Scientific Literature
Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing
Tackling Model Mismatch with Mixup Regulated Test-Time Training
Fraud Detection in Energy Consumption: A Supervised Approach
Using Loglinear Model for Discrimination Discovery and Prevention
Actitracker: A Smartphone-Based Activity Recognition System for Improving Health and Well-Being
Period Estimation For Incomplete Time Series
Beta k-Means: Accelerating k-Means Using Probabilistic Cluster Filtering
Unsupervised Drift Detector Ensembles for Data Stream Mining
Hybrid Recommender System for Detection of Rare Cases Applied to Pulsar Candidate Selection
A Consistency-Based Multimodal Graph Embedding Method for Dimensionality Reduction
Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms
Discovering Community Structure in Multilayer Networks
A Knowledge Graph Link Prediction Model with Combined 1D and 2D Convolutional Embeddings
Lightweight Graph Convolutional Collaborative Filtering Recommendation Approach Incorporating Social Relationships
Evaluating Anomaly Detection Algorithms: The Role of Hyperparameters and Standardized Benchmarks
The HIM glocal metric and kernel for network comparison and classification
Multifactorial uncertainty assessment for monitoring population abundance using computer vision
Expert Estimates for Feature Relevance are Imperfect
Predicting hybrid vehicles' fuel and electric consumption using multitask learning
Anonymizing NYC Taxi Data: Does It Matter?
Range Analysis and Applications to Root Causing
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing
SMOTEBoost for Regression: Improving the Prediction of Extreme Values
Scalable Deep Subspace Clustering Network
DermaDetect: A novel computer vision model for an accurate diagnosis of skin conditions and rashes
A data-driven analytics approach in the study of pneumonia's fatalities
Perceived, Projected, and True Investment Expertise: Not All Experts Provide Expert Recommendations
Data Subcard: Evaluating Privacy, Fairness, Quality, and Protection in Tabular Data, as Part of the System Cards Framework
Information preserving and locally isometric&conformal embedding via Tangent Manifold Learning
Multi-objective clustering ensemble for high-dimensional data based on Strength Pareto Evolutionary Algorithm (SPEA-II)
Sign Language Recognition Analysis using Multimodal Data
A Novel Method for Temporal Graph Classification based on Transitive Reduction
Error detection of oceanic observation data using sequential labeling
When cyberathletes conceal their game: Clustering confusion matrices to identify avatar aliases
The Initialization and Parameter Setting Problem in Tensor Decomposition-Based Link Prediction
CompanyName2Vec: Company Entity Matching based on Job Ads
The NIST data science initiative
A mixture model clustering approach for temporal passenger pattern characterization in public transport
Willingness to Share Emotion Information on Social Media: Influence of Personality and Social Context
Behind Our Words: Psychological Paths Underlying the Un/Supportive Stance Toward Immigrants in Social Media
Mobile-based food classification for Type-2 Diabetes using nutrient and textual features
Scalable RFM-enriched Representation Learning for Churn Prediction
Fast Streaming Algorithms for k-Submodular Maximization under a Knapsack Constraint
Resampling Strategies for Imbalanced Time Series
Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches
Spatio-Temporal Functional Neural Networks
Coordinate Descent Method for Log-linear Model on Posets
Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data
Fast JSON parser using metaprogramming on GPU
Limiting the Diffusion of Information by a Selective PageRank-Preserving Approach
Diffusion for Explainable Unsupervised Anomaly Detection
Diversification in news recommendation for privacy concerned users
Deep Contrastive Active Learning for Out-of-domain Filtering in Dialog Systems
Querying Influential Maximum Connected Community in Large Graphs
Student-Perceived Cognitive Load of LLM-Generated Programming Exercises
Anytime Subgroup Discovery in High Dimensional Numerical Data
From one star to three stars: Upgrading legacy open data using crowdsourcing
Evaluating Interpretability Using Logical Relations: Do Saliency Maps Encode Relevant Information?
Towards Treatment Patterns Validation in Lung Cancer Patients
SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences
A confidence-based entity resolution approach with incomplete information
A 3 R: Argumentative explanations for recommendations
RST-NDAS:RST Nuclei for Discourse-Aware Abstractive Summarization
Hot spot detection - An interactive cluster heat map for sentiment analysis
Mining relationships in learning-oriented social networks
Patient classification based on expanded query using 5-gram collocation and binary tree
A fusion-based approach for user activities recognition on smart phones
Inventory Purchase Recommendation for Merchants in Traditional FMCG Retail Business
A Data-Driven Approach based on Tensor Completion for Replacing "Physical Sensors" with "Virtual Sensors"
A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks
Unsupervised Tensor based Feature Extraction and Outlier Detection for Multivariate Time Series
FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery
The purpose of motion: Learning activities from Individual Mobility Networks
Random walk based context-aware activity recommendation for location based social networks
Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data
Itemset approximation using Constrained Binary Matrix Factorization
Mining Mavericks - A data-driven approach to detect spend leakage
Interpretability and Refinement of Clustering
Optimizing Resource Allocation for Tumor Simulations over HPC Infrastructures
Generating, communicating, accessing and analyzing data in a context-aware perspective
An Online Calibration Method for Robust Multi-Modality 3D Object Detection
Improving Portuguese Semantic Role Labeling with Transformers and Transfer Learning
CA-HIL: A Competency-Aware Framework for Bridging Automation and Human Expertise in Data Science Projects
Adapting Established Text Representations for Predicting Review Sentiment in Turkish
Data science foundry for MOOCs
Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts
Embedding for Anomaly Detection on Health Insurance Claims
Cohesion based co-location pattern mining
Semantically-Aware Statistical Metrics via Weighting Kernels
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification
Abstention is all you need
Interaction-aware Hypergraph Neural Networks for User Profiling
Towards Handling Bias in Intelligence Analysis with Twitter
Exploiting BERT with Global-Local Context and Label Dependency for Aspect Term Extraction
Enhancing Individual Fairness through Propensity Score Matching
On Non-Routine Places in Urban Human Mobility
Hoeffding Trees with Nmin Adaptation
Mining Sensor Data for Predictive Maintenance in the Automotive Industry
A Data Science Approach to Modelling a Manufacturing Facility's Electrical Energy Profile from Plant Production Data
Automatic Semantic Labelling of Images by Their Content Using Non-Parametric Bayesian Machine Learning and Image Search Using Synthetically Generated Image Collages
Stroke-CVAE-CGAN: A Medical Imaging Data Augmentation Network Incorporating Stroke Lesion Distribution
Modeling the impact of external influence on green behaviour spreading in multilayer financial networks
Privacy-Preserving Learning via Data and Knowledge Distillation
Temporal Network Change Detection Using Network Centralities
Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
Sensor-Based Human Activity Mining Using Dirichlet Process Mixtures of Directional Statistical Models
Small and Fast LLMs on Commodity Hardware: Post-Training Quantization in llama. cpp
Learning Multifaceted Latent Activities from Heterogeneous Mobile Data
Hyperparameter Optimization Machines
A Neural Approach for Detecting Morphological Analogies
Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting
Cohort Representation and Exploration
Improved risk predictions via sparse imputation of patient conditions in electronic medical records
Using Data Science to Improve the Identification of Plant Nutritional Status
Detecting Fake News Spreaders on Twitter from a Multilingual Perspective
Recycling of generic ImageNet-trained models for smart-city applications
A Multi-Granularity Pattern-Based Sequence Classification Framework for Educational Data
MAT: Effective Link Prediction via Mutual Attention Transformer
Explainable anomaly detection for Hot-rolling industrial process
Exploratory computing: a draft Manifesto
On the Use of Ontology as A Priori Knowledge into Constrained Clustering
Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework
Airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution
MedCare: Leveraging Medication Similarity for Disease Prediction
Explainable clustering with multidimensional bounding boxes
Assessing the longevity of online videos: A new insight of a video's quality
Influence maximization in a social network in the presence of multiple influences and acceptances
Beyond the Pipeline: Analyzing Key Factors in End-to-End Deep Learning for Historical Writer Identification
Inferring potential users in mobile social networks
MicroPPO: Safe Power Flow Management in Decentralized Micro-Grids with Proximal Policy Optimization
Learning User Preferences Without Feedbacks
MEE : An Automatic Metric for Evaluation Using Embeddings for Machine Translation
23-bit metaknowledge template towards Big Data knowledge discovery and management
An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection
Supplier qualification document recognition through open-set recognition
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces
Scalable image annotation using a product compressive sampling approach
Management of complex data objects in ship designing process
Learning to Compress Unstructured Mesh Data from Simulations
Bayesian Independence Test with Mixed-type Variables
Few-shot Edge Classification in Graph Meta-learning
Reserve Price Optimization at Scale
ZipLine: An Optimized Algorithm for the Elastic Bulk Synchronous Parallel Model
Full-Text or Abstract? Examining Topic Coherence Scores Using Latent Dirichlet Allocation
Bayesian Modeling Approach in Big Data Contexts: an Application in Spatial Epidemiology
Achieving High Performance in Link Prediction for Wikipedia Articles Using Ensemble Approach
Time series analysis with graph-based semi-supervised learning
Design process for Big Data Warehouses
Two-Phase Multi-armed Bandit for Online Recommendation
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment
Research on Mini-Batch Affinity Propagation Clustering Algorithm
Influence Role Recognition and LLM-Based Scholar Recommendation in Academic Social Networks
COVID-19 and Haters - A User Model Perspective
Exploring the Relationship Between Conversation Using #MeToo and University Harassment Policies
Explainability of Molecular Graph Neural Network
Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting
Paths to Empathy: Heterogeneous Effects of Reading Personal Stories Online
Robust Multivariate Regression on Riemannian Manifolds
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems
Exploring emotions over time within the blogosphere
Projecting "Better Than Randomly": How to Reduce the Dimensionality of Very Large Datasets in a Way That Outperforms Random Projections
Global-Local Unified Cross-View Enhancing Framework for Person Re-Identification
Leveraging Causal Discovery to Tackle Complexity in Model-Based Anomaly Detection: Case-Study from Blast Furnace Operation
The harsh rule of the goals: Data-driven performance indicators for football teams
Detecting and Counting Panicles in Sorghum Images
Digital Knowledge Ecosystem for Achieving Sustainable Agriculture Production: A Case Study from Sri Lanka
Measurement of Illegal Android Gambling App Ecosystem From Joint Promotion Perspective
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language
Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns
Traffic Risk Mining Using Partially Ordered Non-Negative Matrix Factorization
Cascading adverse drug event detection in electronic health records
Exploiting Digital DNA for the Analysis of Similarities in Twitter Behaviours
Machine Learning Independent of Population Distributions for Measurement
VizCertify: A Framework for Secure Visual Data Exploration
SA-FGDEM: A Self-adaptive E-Learning Performance Prediction Model
Relational active learning for link-based classification
Truth Discovery from Multi-Sourced Text Data Based on Ant Colony Optimization
Toward robust classification using the Open Directory Project
Learning Personalized Treatment Rules from Electronic Health Records Using Topic Modeling Feature Extraction
Minimizing expected loss for risk-avoiding reinforcement learning
Context weight considered for implicit feature extracting
Efficient Sampling-Based ADMM for Distributed Data
2017 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2017, Tokyo, Japan, October 19-21, 2017
Explaining the Performance of Black Box Regression Models
Fast Mining RFM Patterns for Behavioral Analytics
Analysing the History of Autism Spectrum Disorder Using Topic Models
ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces
Stochastic Perturbation Averaging Boosts Transferability of Adversarial Examples
Improving the End to End Purchasing Process in Indirect Procurement
Trend Detection Based Regret Minimization for Bandit Problems
Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms
Optimizing specificity under perfect sensitivity for medical data classification
Improved approach for protein function prediction by exploiting prominent proteins
Comparison of Variable Selection Methods for Forecasting from Short Time Series
A combination of CUSUM-EWMA for Anomaly Detection in time series data
Unification of Deconvolution Algorithms for Cherenkov Astronomy
SpInN: A Time Series Foundation Model for Spectral Indices Recommendation for Earth Observation Applications Using Satellite Data
Financial crisis and global market couplings
Mind the Gap: Validating System Requirements for Competence-Based Decision Support in Data Science Projects
Personalized Course Recommendation Based on Eye-Tracking Technology and Deep Learning
JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning
Interactive exploration over RDF data using formal concept analysis
Fast and user-friendly non-linear principal manifold learning by method of elastic maps
Privacy-aware Cold-Start Recommendation based on Collaborative Filtering and Enhanced Trust
Why Should I Trust This Item? Explaining the Recommendations of any Model
Multimodal Multi-image Fake News Detection
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract
Enhancing Touchless Sales Inventory and Operation Planning (SIOP) Using Machine Learning for Root Cause Analysis and Risk Mitigation
Meeting Health Care Research Needs in a Kimball Integrated Data Warehouse
Correcting Relational Bias to Improve Classification in Sparsely-Labeled Networks
Toward Optimal Streaming Feature Selection
Where are You Going? Next Place Prediction from Twitter
Coupled Bayesian Matrix Factorization in Recommender Systems
What Really Drives the Spread of COVID-19 Tweets: A Revisit from Perspective of Content
Environmental and Geo-Spatial Data Analytics (EnGeoData'2018)
Efficient analysis of node influence based on SIR model over huge complex networks
Link Prediction for Wikipedia Articles as a Natural Language Inference Task
Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus
Multi-label Learning with Label-Specific Features via Clustering Ensemble
Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph
Mitigation of Rumours in Social Networks via Epidemic Model-based Reinforcement Learning
Proactive learning with multiple class-sensitive labelers
Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery
Scalable relational learning for large heterogeneous networks
SliceNDice: Mining Suspicious Multi-Attribute Entity Groups with Multi-View Graphs
PSM: Proactive Spill Mitigation in PySpark
PsyPrompt: LLM Prompt Patterns for Goal Contents Pursuit on Social Media
Optimal Utility Bounds for Differentially Private Gradient Descent in Three-Layer Neural Networks
A Peak Detection Method to Uncover Events from Social Media
A token authentication solution for hadoop based on kerberos pre-authentication
Inform Product Change through Experimentation with Data-Driven Behavioral Segmentation
Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies
Shells within Minimum Enclosing Balls
Ensemble-Based Location Tracking Using Passive RFID
SMP-Track: SAM in Multi-Pedestrian Tracking
Efficient learning of general Bayesian network Classifier by Local and Adaptive Search
Reasoning with Knowledge Graphs for Trustworthy Course Recommendation
Analyzing Driving Data using the ADAPT Distributed Analytics Platform for Connected Vehicles
Migrate On-Premises Real-Time Data Analytics Jobs Into the Cloud
Auto-CEn: AutoML for Classifier Ensembles - Diversity-Based Classifier Selection and Decision Fusion Optimization
On the Independence of Adversarial Transferability to Topological Changes in the Dataset
Scalable extraction of timeline information from road traffic data using MapReduce
Beyond two-sample-tests: Localizing data discrepancies in high-dimensional spaces
Mining approximate multi-relational patterns
Nonparametric Adjoint-Based Inference for Stochastic Differential Equations
Estimating Causal Effects on Social Networks
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities
Evidence-Based Behavioral Model for Calendar Schedules of Individual Mobile Phone Users
Let Me Generate That for You: Generative Data Augmentation for Misinformation Detection in Low-Resource Environments
minOffense: Inter-Agreement Hate Terms for Stable Rules, Concepts, Transitivities, and Lattices
Boosting Fashion Image Attributes Classification Performance with MT-GAN Training Technique
Profiling Bots and Fake News Spreaders at PAN'19 and PAN'20 : Bots and Gender Profiling 2019, Profiling Fake News Spreaders on Twitter 2020
Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism
All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration
Monitoring the Twitter sentiment during the Bulgarian elections
A Text-based Approach For Link Prediction on Wikipedia Articles
Mix2Vec: Unsupervised Mixed Data Representation
Dynamic Graph Embedding via LSTM History Tracking
On Training and Verifying Robust Autoencoders
A mining based approach for efficient enumeration of algebraic structures
DyCAF-Net: Dynamic Class-Aware Fusion Network
Active Sampling for Learning Interpretable Surrogate Machine Learning Models
Exploratory portals: The need for a new generation
SeCredISData 2018: Special Session on Sentiment, Emotion, and Credibility of Information in Social Data
Improving Neural Networks using Slice Models for Similar Classes
Conformal transformation twin-hyperspheres for highly imbalanced data to binary classification
Evaluating the Robustness of Fake News Detectors to Adversarial Attacks with Real User Comments (Extended Abstract)
Sentiment analysis of Facebook data using Hadoop based open source technologies
News Consumption during the Italian Referendum: A Cross-Platform Analysis on Facebook and Twitter
Disaster Image Classification Using Pre-trained Transformer and Contrastive Learning Models
Naive Bayes Classification under Local Differential Privacy
On the Tiny Yet Real Happiness Phenomenon in the Mobile Games Market
DP-POIRS: A Diversified and Personalized Point-of-Interest Recommendation System
Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study
Supercharging Crowd Dynamics Estimation in Disasters via Spatio-Temporal Deep Neural Network
Feature-Option-Action: A domain adaption transfer reinforcement learning framework
A Parallel Framework for Grid-Based Bottom-Up Subspace Clustering
Novel few-shot learning based fuzzy feature detection algorithms
Forecasting Retweet Count during Elections Using Graph Convolution Neural Networks
Mining Pre-Exposure Prophylaxis Trends in Social Media
Generalization in Audio Deepfake Detection: Evaluating ASR Encoder-Based Feature Extraction
Data Fusion to Describe and Quantify Search and Rescue Operations in the Mediterranean Sea
Non-Technical Losses Detection in Energy Consumption Focusing on Energy Recovery and Explainability: Extended Abstract
CRIMEO: Criminal Behavioral Patterns Mining and Extraction from Video Contents
Disease Detection and Severity Estimation in Cotton Plant from Unconstrained Images
A Contextualized Transformer-Based Method for Cyberbullying Detection
2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015, Campus des Cordeliers, Paris, France, October 19-21, 2015
Knowledge Enhanced Graph Neural Networks
Learning sparse and scale-free networks
Pattern-Based Automatic Parallelization of Representative-Based Clustering Algorithms
SECODA: Segmentation- and Combination-Based Detection of Anomalies
Enhancing Federated Learning by One-Shot Transferring of Intermediate Features from Clients
Nonparametric discovery of online mental health-related communities
Predictive reliability mining for early warnings in populations of connected machines
Deep Learning and Multivariate Time Series for Cheat Detection in Video Games
A detecting community method in complex networks with fuzzy clustering
Heterogeneous Information Integration for Mountain Augmented Reality Mobile Apps
Deep Learning-Based Prediction of Driver Genes in Non-Small Cell Lung Cancer