yusuke1997/dblp-id-title huggingface dataset:
10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023, Thessaloniki, Greece, October 9-13, 2023
Multi-target regression from high-speed data streams with adaptive model rules
Power of Explanations: Towards automatic debiasing in hate speech detection
Expert Detection on Crowdsourcing Forums via Sheaf Laplacian
GDEGAN: Graphical Discriminative Embedding GAN for tabular data
Hybrid Approaches to Optimization and Machine Learning Methods
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition
ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation
Detecting Inaccurate Predictions of Pediatric Surgical Durations
Recommending missing citations for newly granted patents
Multiple Social Role Embedding
Using Machine Learning to Predict High School Student Employability - A Case Study
Continuous Monitoring of A/B Tests without Pain: Optional Stopping in Bayesian Testing
Mining actionable combined patterns of high utility and frequency
Multi-Parameter Forecasting of Fatalities in Road Traffic Accidents
Graph Disentangled Collaborative Filtering based on Multi-order Similarity Constraint
Urban and socio-economic correlates of property prices in Dublin's area
Interpretable and Explainable Time Series Mining
Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories
Crowdsourcing Landforms for Open GIS Enrichment
Detecting hidden propagation structure and its application to analyzing phishing
Vehicle Relocation for Ride-Hailing
Exploring new privacy approaches in a scalable classification framework
An Adaptive Utilization of Convolutional Matrix Methods of Neuron Cell Segmentation with an Application Interface to Aid the Understanding of How Memory Recall Works
Rethinking Security: The Resilience of Shallow ML Models (Extended Abstract)
Learning Fair and Transferable Representations with Theoretical Guarantees
HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields
Organizational Resource Scheduling using Deep Reinforcement Learning
LITE: Light Inception with boosTing tEchniques for Time Series Classification
Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations
Overlapping Community Detection in social network based on Microblog User Model
Masked Conditional Neural Networks for Automatic Sound Events Recognition
Optimal Data Placement for Data-Centric Algorithms on NVM-Based Hybrid Memory
PAF-Tracker: A Novel Pre-Frame Auxiliary and Fusion Visual Tracker
Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption
COSTI: a New Classifier for Sequences of Temporal Intervals
A Novel Record Linkage Interface That Incorporates Group Structure to Rapidly Collect Richer Labels
Learning Through Utility Optimization in Regression Tasks
slidSHAPs - sliding Shapley Values for correlation-based change detection in time series
Web Behavior Analysis Using Sparse Non-Negative Matrix Factorization
Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking
A Rademacher Complexity Based Method for Controlling Power and Confidence Level in Adaptive Statistical Analysis
Detection Model of Depression Based on Eye Movement Trajectory
Comparative Analysis of Neural Network Architectures for Telemetry-Driven Malware Behavior Classification
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
A Novel Particle Swarm Optimization Algorithm for Meta-Heuristic Analysis Mechanism Based on Population Learning Strategies and Adaptive Selection of Leadership Particles
Operational Evaluation of Algorithms for Online Streaming Continual Multi-Label Classification
Learning better while sending less: Communication-efficient online semi-supervised learning in client-server settings
A Metaverse Platform for Air Pollution Analysis in Supporting Smart and Sustainable City Development
Natural Language Inference by Integrating Deep and Shallow Representations with Knowledge Distillation
Using markup language to differentiate between reliable and unreliable news
Generating Privacy Preserving Synthetic Medical Data
Enhanced Mining of High Utility Patterns from Streams of Dynamic Profit
ISGP: Influence Maximization on Dynamic Social Networks Using Influence SubGraph Propagation
Explainable expected goal models for performance analysis in football analytics
Leveraging Latent Economic Concepts and Sentiments in the News for Market Prediction
Profit maximizing logistic regression modeling for customer churn prediction
Graph Summarization as Vertex Classification Task using Graph Neural Networks vs. Bloom Filter
Understanding Stay-at-home Attitudes through Framing Analysis of Tweets
An Overview on Supervised Semi-structured Data Classification
RIMM: A novel map matching model with rotational invariance
Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure
Deep Crowd Counting In Congested Scenes Through Refine Modules
Improving the Personalized Recommendation in the Cold-start Scenarios
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series
Repeatable Pattern Mining for Accurate Subtraction of Backgrounds with Waving Objects in Underwater Videos
Interactive correlation clustering
Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping
FONDUE: Framework for Node Disambiguation Using Network Embeddings
Grade Prediction with Neural Collaborative Filtering
Exploiting mobility for location promotion in location-based social networks
On Analysing Supply and Demand in Labor Markets: Framework, Model and System
Adaptive Noisy Data Augmentation for Regularized Construction of Undirected Graphical Models
Reinforcement Learning Based Test Case Prioritization for Enhancing the Security of Software
Selection of a Nominal Device Using Functional Data Analysis
Cross-Layer Profiling of Encrypted Network Data for Anomaly Detection
Pseudo labels for imbalanced multi-label learning
Improving Source Localization by Perturbing Graph Diffusion
On the Evaluation of Outlier Detection and One-Class Classification Methods
LDA based semi-supervised learning from streaming short text
Early Classification of Time Series: Cost-based multiclass Algorithms
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates
Object-aware Multi-criteria Decision-Making Approach using the Heuristic data-driven Theory for Intelligent Transportation Systems
Interpretability Methods for Graph Neural Networks
Inconsistent Node Flattening for Improving Top-Down Hierarchical Classification
Joint Bayesian Variable Selection and Graph Estimation for Non-linear SVM with Application to Genomics Data
Characterizing chronic disease and polymedication prescription patterns from electronic health records
Social influence-aware reverse nearest neighbor search
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform
Neural network-based approaches for predicting query response times
Online Collaborative Prediction of Regional Vote Results
Building up Explainability in Multi-layer Perceptrons for Credit Risk Modeling
LSFuseNet: Dual-Fusion of Landsat-8 and Sentinel-2 Multispectral Time Series for Permutation Invariant Applications
Exploring technological trends for patent evaluation
Predicting Conflict Zones on Terrestrial Routes of Automated Guided Vehicles with Fuzzy Querying on Apache Kafka
Colorwall: An Embedded Temporal Display of Bibliographic Data
Selecting representative instances from datasets
M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings
Uncovering the Bitcoin Blockchain: An Analysis of the Full Users Graph
The min-timespan parallel technician-and-drone scheduling in door-to-door sampling service system
Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products
Hyperon: An Online Hyperparameter Tuning Approach for Data Stream Learning
Soft-Churn: Optimal Switching between Prepaid Data Subscriptions on E-SIM support Smartphones
Explaining Human Activities Instances Using Deep Learning Classifiers
Account level demand estimation and intelligence framework
Centroid Training to achieve effective text classification
Feature Analysis for Fake Review Detection through Supervised Classification
Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier
Active learning for text classification: Using the LSI Subspace Signature Model
Block-Approximated Exponential Random Graphs
Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options
A model-selection framework for concept-drifting data streams
Efficient Identification of Tanimoto Nearest Neighbors
Learning urban users' choices to improve trip recommendations
Using Annealing to Accelerate Triangle Inequality k-means
Recommendation of Points-of-Interest Using Graph Embeddings
Estimating countries' peace index through the lens of the world news as monitored by GDELT
Towards predictable and risk-free enterprise systems
Developing and Deploying a Taxi Price Comparison Mobile App in the Wild: Insights and Challenges
A generic framework for forecasting short-term traffic conditions on urban highways
Masked Contrastive Representation Learning for Self-Supervised Visual Pre-Training
Machine Learning Model for Frailty Detectxion using Electric Power Consumption Data from Smart Meter
Sensor network partitioning based on homogeneity
TOCOL: Improving Contextual Representation of Pre-trained Language Models via Token-Level Contrastive Learning
Enterprise Event Risk Detection Based on Supply Chain Contagion
An effective and economic bi-level approach to ranking and rating spam detection
Towards Personalized Anti-Phishing: Counterfactual Explanation Approach - Extended Abstract
MIAT: A novel attribute selection approach to better predict upper gastrointestinal cancer
Automated Detection of Trajectory Groups Based on SNN-Clustering and Relevant Frequent Itemsets
Traffic Flow Estimation using Probe Vehicle Data
Performance Improvement of MapReduce Process by Promoting Deep Data Locality
Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles
Matrix Profile XVI: Efficient and Effective Labeling of Massive Time Series Archives
On the Role of Mentions on Tweet Virality
Simulation of misinformation spreading processes in social networks: an application with NetLogo
Incrementally mining temporal patterns in interval-based databases
DGNN: Denoising graph neural network for session-based recommendation
A New Baseline of Policy Gradient for Traveling Salesman Problem
Enriching Course-Specific Regression Models with Content Features for Grade Prediction
A Learning-based Framework for Multi-View Instance Segmentation in Panorama
TSMH Graph Cube: A novel framework for large scale multi-dimensional network analysis
AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree
The identification of cancer lesions in mammography images with missing pixels: analysis of morphology
Towards Simulation-Data Science - A Case Study on Material Failures
Solving Inverse Problems in Compressive Imaging with Score-Based Generative Models
Multi-class learning using data driven ECOC with deep search and re-balancing
Matching Research Publications to the United Nations' Sustainable Development Goals by Multi-Label-Learning with Hierarchical Categories
Efficient Large Scale Clustering Based on Data Partitioning
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
Overlapping Target Event and Story Line Detection of Online Newspaper Articles
Evaluating Explanation Methods of Multivariate Time Series Classification through Causal Lenses
Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-Based Editing
Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes
Utilizing Tweet Content for the Detection of Sentiment-Based Interaction Communities on Twitter
Are You Human? Detecting Bots on Twitter Using BERT
A Symbolic Tree Model for Oil and Gas Production Prediction Using Time-Series Production Data
Customizing Travel Packages with Interactive Composite Items
Empowering Urban Connectivity in Smart Cities using Federated Intrusion Detection
Fair pairwise learning to rank
Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting
A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes
Bayesian Estimation of the Effect of Television Advertising on Web Metrics
Chest Tube Management After Lung Resection Surgery using a Classifier
Cross-layer Federated Heterogeneous Ensemble Learning for Lightweight IoT Intrusion Detection System
Dilation of Chisini-Jensen-Shannon Divergence
Generalized Isolation Forest: Some Theory and More Applications Extended Abstract
Towards an Explainable-AI Enhanced Predictive Analytics System for Collaborative Learning in Smart Educational Environments
ScaleFace: Uncertainty-aware Deep Metric Learning
Roll Wear Prediction in Strip Cold Rolling with Physics-Informed Autoencoder and Counterfactual Explanations
Informative Priors and Bayesian Computation
Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees
7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020
A Real-Time Iterative Machine Learning Approach for Temperature Profile Prediction in Additive Manufacturing Processes
Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification
Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks
Performance Evaluation of Low-cost PurpleAir Sensors in Ambient Air
Improving Sentiment Analysis in Arabic and English Languages by Using Multi-Layer Perceptron Model (MLP)
EM*: An EM Algorithm for Big Data
Weakly Supervised Person Search
Multimodal Humor Detection Based on Cross-Modal Attention and Modal Maximum Correlation
2016 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2016, Montreal, QC, Canada, October 17-19, 2016
Cyclic Classifier Chain for Cost-Sensitive Multilabel Classification
Temporal Needleman-Wunsch
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification
Rapid and Scalable Bayesian AB Testing
OnlineBTD: Streaming Algorithms to Track the Block Term Decomposition of Large Tensors
Active Learning of SVDD Hyperparameter Values
Modeling recurrent distributions in streams using possible worlds
A Novel Approach for Estimating Multiple Sparse Precision Matrices Using ℓ0, 0 Regularization
Landmarks-based Blocking Method For Large-scale Entity Resolution
Validating Arbitrary Shaped Clusters - A Survey
Exploiting a Bootstrapping Approach for Automatic Annotation of Emotions in Texts
Martensite Start Temperature Predictor for Steels Using Ensemble Data Mining
Hybrid Federated Learning Framework with Client - Tailored Attentive Feature Extractor for Agricultural Health Monitoring
Multi-aspect Matrix Factorization based Visualization of Convolutional Neural Networks
Constrained spectral clustering for regionalization: Exploring the trade-off between spatial contiguity and landscape homogeneity
IQ4EC: Intensional answers as a support to exploratory computing
Mobile user stability prediction with Random Forest model
5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018
Range-free and Level-based Localization with Malicious Node Identification in Underwater Sensor Networks
MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection
A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction
Matrix factorization approach to behavioral mode analysis from acceleration data
Discovering Structural Regularities in Time Series via Gaussian Processes
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series
Data Driven Optimum Cyberattack Mitigation
A talent management tool using propensity to leave analytics
Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization
Explainable Artificial Intelligence for Data Science on Customer Churn
Practical Privacy Protection Scheme In WiFi Fingerprint-based Localization
Online k-Maxoids Clustering
Inter-Frame Multiscale Probabilistic Cross-Attention for Surveillance Object Detection
Hadoop based Deep Packet Inspection system for traffic analysis of e-business websites
Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning
Source detection on networks using spatial temporal graph convolutional networks
Simulating Spreading of Multiple Interacting Processes in Complex Networks
CE-GAN : A Camera Image Enhancement Generative Adversarial Network for Autonomous Driving
Using Network Features for Credit Scoring in MicroFinance: Extended Abstract
Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study
Usage signatures analysis an alternative method for preventing fraud in E-Commerce applications
The Semantic Knowledge Graph: A Compact, Auto-Generated Model for Real-Time Traversal and Ranking of any Relationship within a Domain
Convolutional Neural Networks Based Multi-task Deep Learning for Movie Review Classification
AI-Based Mental Health Assessment for Adolescents Using Their Daily Digital Activities
No Data Left Behind: Exogenous Variables in Long-Term Forecasting of Nursing Staff Capacity
Efficient metric learning for the analysis of motion data
Classification with Explanation for Human Trafficking Networks
Machine Learning-Based Android Malware Detection
Incremental Author Name Disambiguation for Scientific Citation Data
A Multilayer Network Perspective on Customer Segmentation Through Cashless Payment Data
Optimizing New User Experience in Online Services
Traffic risk mining from heterogeneous road statistics
A semisupervised associative classification method for POS tagging
Appliance and state recognition using Hidden Markov Models
PANACEA: A Neural Model Ensemble for Cyber-Threat Detection
Deep feature synthesis: Towards automating data science endeavors
MapReduce-based k-prototypes clustering method for big data
A Framework for Description and Analysis of Sampling-Based Approximate Triangle Counting Algorithms
Convolutional Neural Networks for Disaggregated Population Mapping Using Open Data
DynamiSE: Dynamic Signed Network Embedding for Link Prediction
Task Composition in Crowdsourcing
Neuro-Ensemble for Time Series Data Classification
Online Air Pollution Inference using Concept Recurrence and Transfer Learning
Modeling heterogeneous clinical sequence data in semantic space for adverse drug event detection
Efficient Data Completion and Augmentation
An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs
Machine Learning for Efficient Integration of Record Systems for Missing US Service Members
Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users
Evaluating Defensive Influence in Multi-Agent Systems Using Graph Attention Networks
Cybersecurity Recommendations for Planning and Securing Port 4.0 and Maritime Industry Against Cyberattacks
Forward-Backward Smoothing for Hidden Markov Models of Point Pattern Data
A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images
P-N-RMiner: A generic framework for mining interesting structured relational patterns
Measuring Indirect External Threat: A Time Series Sentiment Analysis of NATO Resolutions
Fuzzy-Based Operational Resilience Modelling
Active Lifelong Anomaly Detection with Experience Replay
Data-Driven Sales Leads Prediction for Everything-as-a-Service in the Cloud
Customer Simulation for Direct Marketing Experiments
Detecting human emotion via speech recognition by using speech spectrogram
ECC: Enhancing Smart Grid Communication with Ethereum Blockchain, Asymmetric Cryptography, and Cloud Services
Towards ℓ1 Regularization for Deep Neural Networks: Model Sparsity Versus Task Difficulty
HiSPEED: A System for Mining Performance Appraisal Data and Text
Big Data-Driven Platform for Cross-Media Monitoring
Disentangling the Growth of Blockchain-based Networks by Graph Evolution Rule Mining
FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection
REFINE: Enabling Efficient and Trustworthy Modeling of Financial Networks via GNN-to-MLP Knowledge Distillation
Information Exposure From Relational Background Knowledge on Social Media
Subsequence Search Considering Duration and Relations of Events in Time Interval-Based Events Sequences
The Uniqueness and Greedy Method for Quadratic Compressive Sensing
Mining influence in evolving entities: A study on stock market
Graph Attention Network for Camera Relocalization on Dynamic Scenes
Shape Constrained Tensor Decompositions
Large Scale Point Cloud Classification Base on Graph-MLP++
$p$-ClustVal: A Novel $p$-Adic Approach for Enhanced Clustering of High-Dimensional scRNASeq Data (Extended Abstract)
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting
Explaining Multimodal Errors in Autonomous Vehicles
Representing sentence with unfolding recursive autoencoders and dynamic average pooling
A Fast Block-Based Feature Method for Low Cost Dynamic Objects Detection
Transparent Latent Space Counterfactual Explanations for Tabular Data
Semi-randomized hashing for large scale data retrieval
Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases
Predicting Worker Disagreement for More Effective Crowd Labeling
Big Data Quality Prediction on Banking Applications: Extended Abstract
A Sequential Framework Towards an Exact SDP Verification of Neural Networks
Extended Methods to Handle Classification Biases
Sparse Self-Attention Guided Generative Adversarial Networks for Time-Series Generation
Constrained independence for detecting interesting patterns
A ranking-based approach for hierarchical classification
Evidence Based Pipeline for Explaining Artificial Intelligence Algorithms with Interactions
2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019, Washington, DC, USA, October 5-8, 2019
Attention-based Feature Fusion for Reconstructing Gene-Regulatory Interactions
EvoAlign: A Continual Learning Framework for Aligning Evolving Networks
AdvPL: Adversarial Personalized Learning
Interpretable Prediction of Diabetes from Tabular Health Screening Records Using an Attentional Neural Network
A Comparative Study of Performance Estimation Methods for Time Series Forecasting
Towards Automated Breast Mass Classification using Deep Learning Framework
Watch 'n' Check: Towards a Social Media Monitoring Tool to Assist Fact-Checking Experts
ModelForge: A Metric Approach to Machine Learning Model Consolidation
International Conference on Data Science and Advanced Analytics, DSAA 2014, Shanghai, China, October 30 - November 1, 2014
Enhancing recommendation systems with hybrid manifold regularized knowledge graph
Identifying Anomalous Nodes in Multidimensional Networks
An Biometric Model for Iris Images Segmentation and Deep Learning Classification
The layered structure of company share networks
A novel real-time trajectory compression method for privacy protection
An Incremental Technique for Mining Coverage Patterns in Large Databases
Tracking the evolution of community structures in time-evolving social networks
Temporal Differential Privacy for Human Activity Recognition
Duration models for activity recognition and prediction in buildings using Hidden Markov Models
Large-scale factorization of type-constrained multi-relational data
Learning a proximity measure to complete a community
Harvester: Influence Optimization in Symmetric Interaction Networks
Adaptive Threshold for Outlier Detection on Data Streams