yusuke1997/dblp-id-title huggingface dataset:
Strengths and limitations of relative wealth indices derived from big data in Indonesia
A concentric circles view of health data relations facilitates understanding of sociotechnical challenges for learning health systems and the role of federated data networks
Editorial: AI-Enabled Data Science for COVID-19
Data Analytics Applications for Streaming Data From Social Media: What to Predict?
Editorial: Women in AI medicine and public health 2022
Particulate matter forecast and prediction in Curitiba using machine learning
Editorial: Towards Exascale Solutions for Big Data Computing
Fitting and Cross-Validating Cox Models to Censored Big Data With Missing Values Using Extensions of Partial Least Squares Regression Models
Proximity-Based Compression for Network Embedding
Editorial: Internet of Medical Things and computational intelligence in healthcare 4.0
Opportunities in Open Science With AI
Network experiment designs for inferring causal effects under interference
Identifying Travel Regions Using Location-Based Social Network Check-in Data
Editorial: Critical data and algorithm studies
Prefix Imputation of Orphan Events in Event Stream Processing
Observation-based assessment of secondary water effects on seasonal vegetation decay across Africa
Computer Vision for Continuous Bedside Pharmacological Data Extraction: A Novel Application of Artificial Intelligence for Clinical Data Recording and Biomedical Research
A Survey of Data Quality Measurement and Monitoring Tools
Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization
Editorial: Cybersecurity and artificial intelligence: advances, challenges, opportunities, threats
Editorial: Innovative Analysis Ecosystems for HEP Data
Sparse and Expandable Network for Google's Pathways
Abusive Language Detection in Online Conversations by Combining Content- and Graph-Based Features
Fused multi-modal similarity network as prior in guiding brain imaging genetic association
Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height
Sentiment analysis of COP9-related tweets: a comparative study of pre-trained models and traditional techniques
On the purpose of meaningful human control of AI
How can data visualization support interdisciplinary research? LuxTIME: studying historical exposomics in Belval
Identifying and addressing data asymmetries so as to enable (better) science
Representing bacteria with unique genomic signatures
Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations
Corrigendum: A community focused approach toward making healthy and affordable daily diet recommendations
CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervals
Editorial: Machine learning and immersive technologies for user-centered digital healthcare innovation
A fast parallelized DBSCAN algorithm based on OpenMp for detection of criminals on streaming services
Link Prediction Between Structured Geopolitical Events: Models and Experiments
A Comparative Study of Data-Driven Models for Travel Destination Characterization
No longer hype, not yet mainstream? Recalibrating city digital twins' expectations and reality: a case study perspective
You Can't See Me: Anonymizing Graphs Using the Szemerédi Regularity Lemma
Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization
Teeport: Break the Wall Between the Optimization Algorithms and Problems
Current state of data stewardship tools in life science
Location Prediction for Tweets
Just preparation for war and AI-enabled weapons
Modeling information diffusion in social media: data-driven observations
Requirements for a Dashboard to Support Quality Improvement Teams in Pain Management
A stream processing abstraction framework
Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm-back propagation model
Toward a physics-guided machine learning approach for predicting chaotic systems dynamics
Editorial: The Computational Analysis of Cultural Conflicts
Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts
An Integrated Deep Network for Cancer Survival Prediction Using Omics Data
A Policy-Driven Approach to Secure Extraction of COVID-19 Data From Research Papers
A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth
Arrival times by Recurrent Neural Network for induced seismic events from a permanent network
CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets
Editorial: Human-Centric Security and Privacy
PME: pruning-based multi-size embedding for recommender systems
Cross-border collaboration, communication, and research frontiers on biologics in chronic rhinosinusitis from 2004 to 2023
Sonographic Diagnosis of COVID-19: A Review of Image Processing for Lung Ultrasound
Principles and Practice of Explainable Machine Learning
A multimodal clinical data resource for personalized risk assessment of sudden unexpected death in epilepsy
Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches
Use of Bayesian networks in Brazil high school educational database: analysis of the impact of COVID-19 on ENEM in Pará between 2019 and 2022
Blockchain-enabled access control to prevent cyber attacks in IoT: Systematic literature review
The role of big data in financial technology toward financial inclusion
Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data
Big data and AI for gender equality in health: bias is a big challenge
Development and application of a machine learning-based predictive model for obstructive sleep apnea screening
When we talk about Big Data, What do we really mean? Toward a more precise definition of Big Data
Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators
Prediction and classification of obesity risk based on a hybrid metaheuristic machine learning approach
Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon
Blockchain for Electronic Vaccine Certificates: More Cons Than Pros?
Deep Learning Approach for Assessing Air Quality During COVID-19 Lockdown in Quito
Modeling and analyzing the action process of monoamine hormones in depression: a Petri nets-based intelligent approach
Trends of the COVID-19 dynamics in 2022 and 2023 vs. the population age, testing and vaccination levels
Repeatable enhancement of healthcare data with social determinants of health
Adaptive granularity in tensors: A quest for interpretable structure
A review on individual and multistakeholder fairness in tourism recommender systems
Data Mining Climate Variability as an Indicator of U.S. Natural Gas
Deep Learning Optimizes Data-Driven Representation of Soil Organic Carbon in Earth System Model Over the Conterminous United States
Multi-list interfaces for recommender systems: survey and future directions
Theory In, Theory Out: The Uses of Social Theory in Machine Learning for Social Science
Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance
Big Data and the Little Big Bang: An Epistemological (R)evolution
Deep Neural Networks for Optimal Team Composition
Editorial: Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA)
Ethics of AI in Radiology: A Review of Ethical and Societal Implications
The myth of reproducibility: A review of event tracking evaluations on Twitter
Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model
Leveraging compact convolutional transformers for enhanced COVID-19 detection in chest X-rays: a grad-CAM visualization approach
Knowledge-infused Learning for Entity Prediction in Driving Scenes
Modelling Representative Population Mobility for COVID-19 Spatial Transmission in South Africa
Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems?
Staying with the trouble of networks
Solutions to Big Data Privacy and Security Challenges Associated With COVID-19 Surveillance Systems
Routing of Electric Vehicles With Intermediary Charging Stations: A Reinforcement Learning Approach
Air Quality Forecast by Statistical Methods: Application to Portugal and Macao
Entropy of Co-Enrolment Networks Reveal Disparities in High School STEM Participation
A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture
CutLang v2: Advances in a Runtime-Interpreted Analysis Description Language for HEP Data
Evaluation of methods for assigning causes of death from verbal autopsies in India
Efficient use of binned data for imputing univariate time series data
North-south scientific collaborations on research datasets: a longitudinal analysis of the division of labor on genomic datasets (1992-2021)
NuSegDA: Domain adaptation for nuclei segmentation
3D bi-directional transformer U-Net for medical image segmentation
Artificial Intelligence Models Do Not Ground Negation, Humans Do. GuessWhat?! Dialogues as a Case Study
Disease Modelling of Cognitive Outcomes and Biomarkers in the European Prevention of Alzheimer's Dementia Longitudinal Cohort
Real driving cycles and emissions for urban freight transport
Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations
Hybridization of long short-term memory neural network in fractional time series modeling of inflation
TELS: Evolution patterns of research keywords from the evidence of PNAS Social Sciences topics
MetaOntology: Toward developing an ontology for the metaverse
Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method
Causal Inference in the Presence of Interference in Sponsored Search Advertising
Hybridized bio-inspired intrusion detection system for Internet of Things
A scalable tool for analyzing genomic variants of humans using knowledge graphs and graph machine learning
A Predictive Maintenance Model for Flexible Manufacturing in the Context of Industry 4.0
Editorial: Reviews in recommender systems: 2022
Auto-GNN: Neural architecture search of graph neural networks
Toward data lakes as central building blocks for data management and analysis
Structural Compression of Convolutional Neural Networks with Applications in Interpretability
ActiveReach: an active learning framework for approximate reachability query answering in large-scale graphs
Beyond surveillance: privacy, ethics, and regulations in face recognition technology
Fairness in Music Recommender Systems: A Stakeholder-Centered Mini Review
Random kernel k-nearest neighbors regression
MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis
Data-Driven Framework for Understanding and Predicting Air Quality in Urban Areas
Machine vision model using nail images for non-invasive detection of iron deficiency anemia in university students
Making the most of big qualitative datasets: a living systematic review of analysis methods
AutoLoc: Autonomous Sensor Location Configuration via Cross Modal Sensing
Temporal Mobility Networks in Online Gaming
Development of a Machine Learning Approach for Local-Scale Ozone Forecasting: Application to Kennewick, WA
Training and onboarding initiatives in high energy physics experiments
Does subnetting and port hardening influence human adversarial decisions? An investigation via a HackIT tool
Human behavior in the time of COVID-19: Learning from big data
A systematic literature review on the impact of AI models on the security of code generation
Causal effect of PM2.5 on the urban heat island
Differential privacy in collaborative filtering recommender systems: a review
Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendation
Predicting Admissions From a Paediatric Emergency Department - Protocol for Developing and Validating a Low-Dimensional Machine Learning Prediction Model
Multi-modal recommender system for predicting project manager performance within a competency-based framework
Choosing Optimal Seed Nodes in Competitive Contagion
Including Vulnerable Populations in the Assessment of Data From Vulnerable Populations
Research on Spatial-temporal Spread and Risk Profile of the COVID-19 Epidemic Based on Mobile Phone Trajectory Data
Is Performance of Scholars Correlated to Their Research Collaboration Patterns?
Recipe Recommendation With Hierarchical Graph Attention Network
Two-Stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant
Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study
Towards Machine-Readable (Meta) Data and the FAIR Value for Artificial Intelligence Exploration of COVID-19 and Cancer Research Data
Public Perception of the Fifth Generation of Cellular Networks (5G) on Social Media
Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels
DeepEmSat: Deep Emulation for Satellite Data Mining
Deploying machine learning with messy, real world data in low- and middle-income countries: Developing a global health use case
The Influence of Personal Health Data on the Health Coaching Process
Anomaly Detection for the Centralised Elasticsearch Service at CERN
Exploring the use of topological data analysis to automatically detect data quality faults
Efficient enhancement of low-rank tensor completion via thin QR decomposition
Marginalizing the Mainstream: How Social Media Privilege Political Information
FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques
TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysis
Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence
A Balanced Scorecard for Maximizing Data Performance
A World Full of Stereotypes? Further Investigation on Origin and Gender Bias in Multi-Lingual Word Embeddings
AI security and cyber risk in IoT systems
Quantifying the Importance of Firms by Means of Reputation and Network Control
Editorial: Data-Driven Solutions for Smart Grids
Edge-level multi-constraint graph pattern matching with lung cancer knowledge graph
MODIT: MOtif DIscovery in Temporal Networks
Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project
Real-time arrhythmia detection using convolutional neural networks
SemNet: Learning semantic attributes for human activity recognition with deep belief networks
Data-driven classification and explainable-AI in the field of lung imaging
A community focused approach toward making healthy and affordable daily diet recommendations
Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse
Healthcare analytics - A literature review and proposed research agenda
COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics
Data-Driven Modeling of Breast Cancer Tumors Using Boolean Networks
Statistical Enrichment Analysis of Samples: A General-Purpose Tool to Annotate Metadata Neighborhoods of Biological Samples
Lethal autonomous weapons systems, revulsion, and respect
Changing features of the Northern Hemisphere 500-hPa circumpolar vortex
Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere
Next-Generation Digital Ecosystem for Climate Data Mining and Knowledge Discovery: A Review of Digital Data Collection Technologies
Analyzing political party positions through multi-language twitter text embeddings
Big data and its impact on the 3Rs: a home cage monitoring oriented review
How does digitally enabled micro-finance promote income equality for the vulnerable in the expanded BRICS block during the pandemic?
Management of COVID-19 Pandemic Data in India: Challenges Faced and Lessons Learnt
Comprehensive review for healthcare data quality challenges in blockchain technology
Unified Representation of Twitter and Online News Using Graph and Entities
Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification
Machine learning-based remission prediction in rheumatoid arthritis patients treated with biologic disease-modifying anti-rheumatic drugs: findings from the Kuwait rheumatic disease registry
Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection
Sequence-Based Explainable Hybrid Song Recommendation
Open Science, Open Data, and Open Scholarship: European Policies to Make Science Fit for the Twenty-First Century
Accessibility and Essential Travel: Public Transport Reliance Among Senior Citizens During the COVID-19 Pandemic
Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions
Data Consistency for Data-Driven Smart Energy Assessment
Predicting risk of preterm birth in singleton pregnancies using machine learning algorithms
Experimental study and clustering of operating staff of search systems in the sense of stress resistance
Deep learning for accurate classification of conifer pollen grains: enhancing species identification in palynology
Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation
Developing an Explainable Machine Learning-Based Personalised Dementia Risk Prediction Model: A Transfer Learning Approach With Ensemble Learning Algorithms
The ABC recommendations for validation of supervised machine learning results in biomedical sciences
Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis
AI for Not Bad
Effect of the high-level trigger for detecting long-lived particles at LHCb
NPARS - A Novel Approach to Address Accuracy and Reproducibility in Genomic Data Science
A Benchmark for Data Imputation Methods
Editorial: Utilizing big data and deep learning to improve healthcare intelligence and biomedical service delivery
Exploring dermoscopic structures for melanoma lesions' classification
Editorial: Are machine learning, AI, and big data tools ready to be used for sustainable development? Challenges, and limitations of current approaches
Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis
Stable tensor neural networks for efficient deep learning
Editorial: Big Data and machine learning in cancer theranostics
Comparative study of minutiae selection methods for digital fingerprints
Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants
Ensemble-based classification approach for PM2.5 concentration forecasting using meteorological data
AI-assisted diplomatic decision-making during crises - Challenges and opportunities
Corrigendum: Anemia detection through non-invasive analysis of lip mucosa images
Top-Down Machine Learning-Based Architecture for Cyberattacks Identification and Classification in IoT Communication Networks
Biomedical heterogeneous data categorization and schema mapping toward data integration
Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care
Sharing social media data: The role of past experiences, attitudes, norms, and perceived behavioral control
MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain
Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks
Significant Subgraph Detection in Multi-omics Networks for Disease Pathway Identification
Editorial: Bayesian Inference and AI
A Review of Microsoft Academic Services for Science of Science Studies
Evaluating the Effectiveness of Personalized Medicine With Software
Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning
Editorial: Cyber security in the wake of fourth industrial revolution: opportunities and challenges
Contagion Dynamics for Manifold Learning
Evaluating the use of Instagram images color histograms and hashtags sets for automatic image annotation
Topic Modeling for Interpretable Text Classification From EHRs
Experimenting With Algorithms and Memory-Making: Lived Experience and Future-Oriented Ethics in Critical Data Science
Algorithmic Accountability in Context. Socio-Technical Perspectives on Structural Causal Models
Editorial: Statistical Learning for Predicting Air Quality
Wasserstein Uncertainty Estimation for Adversarial Domain Matching
Understanding Cybersecurity Threat Trends Through Dynamic Topic Modeling
Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease
Decentralized but Globally Coordinated Biodiversity Data
Editorial: User Modeling and Recommendations
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities
Combining environmental and socioeconomic data to understand determinants of conflicts in Colombia
MediLinker: a blockchain-based decentralized health information management platform for patient-centric healthcare
Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer
An extended approach to appraise electricity distribution and carbon footprint of bitcoin in a smart city
Simultaneous Parameter Learning and Bi-clustering for Multi-Response Models
Promoting fairness in link prediction with graph enhancement
Novel Computational Approach to Predict Off-Target Interactions for Small Molecules
Use of Machine Learning to Detect Wildlife Product Promotion and Sales on Twitter
Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification
How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry
BigFiRSt: A Software Program Using Big Data Technique for Mining Simple Sequence Repeats From Large-Scale Sequencing Data
An Opinion Facilitator for Online News Media
Balancing act: Europeans' privacy calculus and security concerns in online CSAM detection
Beyond the Scale of Big Data
Efficient out-of-distribution detection via layer-adaptive scoring and early stopping
An intelligent telemonitoring application for coronavirus patients: reCOVeryaID
Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application
An Innovative Way to Model Twitter Topic-Driven Interactions Using Multiplex Networks
Characterizing the visualization design space of distant and close reading of poetic rhythm
The ethics of AI-assisted warfighter enhancement research and experimentation: Historical perspectives and ethical challenges
Educational Anomaly Analytics: Features, Methods, and Challenges
Comparative Analysis of Energy Use and Greenhouse Gas Emission of Diesel and Electric Trucks for Food Distribution in Gowanus District of New York City
Artificial intelligence research strategy of the United States: critical assessment and policy recommendations
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance
A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity
Editorial: Rising stars in data mining and management 2022
Exploring infodemiology: unraveling the intricate relationships among stress, headaches, migraines, and suicide through Google Trends analysis
Corrigendum: Statistical Enrichment Analysis of Samples: A General-Purpose Tool to Annotate Metadata Neighborhoods of Biological Samples
Challenges and Legal Gaps of Genetic Profiling in the Era of Big Data
Audio deepfakes: A survey
Algorithmic Profiling of Job Seekers in Austria: How Austerity Politics Are Made Effective