yusuke1997/dblp-id-title huggingface dataset:
A semiconductor laser used for direct measurement of the blood perfusion of tissue
Nonlinear alignment and averaging for estimating the evoked potential
Effects of Collective Socialization on Newcomers' Response to Feedback in Online Communities
Combating Islamophobia: Compromise, Community, and Harmony in Mitigating Harmful Online Content
An Investigation of the Portrayal of Social Media Challenges on YouTube and Twitter
Estimating Exposure to Information on Social Networks
Online Idea Management for Civic Engagement: A Study on the Benefits of Integration with Social Networking
A Socio-Contextual Approach in Automated Detection of Public Cyberbullying on Twitter
Measuring 9 Emotions of News Posts from 8 News Organizations across 4 Social Media Platforms for 8 Months
Mining User-generated Content of Mobile Patient Portal: Dimensions of User Experience
Introduction to the Special Issue on HICSS 2019
Online Self-Disclosure, Social Support, and User Engagement During the COVID-19 Pandemic
A Librarian, a Politician, a UX Expert, and a Cyberbully Walk into a Special Issue
Exploring and Understanding Participants' Perceptions of Facial Emoji Likert Scales in Online Surveys: A Qualitative Study
Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms
Helping Each Other Quit Online: Understanding User Engagement and Real-life Outcomes of the r/StopSmoking Digital Smoking Cessation Community
A Systematic Analysis of Problems in Open Collaborative Data Engineering
Assessing the Contribution of Subject-matter Experts to Wikipedia
GROUP 2018 Special Issue Guest Editorial: Another 25 Years of GROUP
A Framework for the Unsupervised Modeling and Extraction of Polarization Knowledge from News Media
Exploring the Relationship Between Offline Cultural Environments and Toxic Behavior Tendencies in Multiplayer Online Games
Is Virtual Citizen Science A Game?
How Mobile App Design Overhauls Can Be Disastrous in Terms of User Perception: The Case of Snapchat
Introduction to ACM Transactions on Social Computing
Permeability, Interoperability, and Velocity: Entangled Dimensions of Infrastructural Grind at the Intersection of Blockchain and Shipping
Quantifying Controversy on Social Media
A Mixed-Methods Approach to Understanding Funder Trust and Due Diligence Processes in Online Crowdfunding Investment
Community Topic Usage in Online Social Media
Deadline-Aware Fair Scheduling for Multi-Tenant Crowd-Powered Systems
A Study of Friend Abuse Perception in Facebook
Signals of Transition in Support Systems: A Study of the use of Social Media Analytics in Crisis Management
Properties of Group Fairness Measures for Rankings
Social Media Ethics: A Rawlsian Approach to Hypertargeting and Psychometrics in Political and Commercial Campaigns
Sociability in Virtual Reality: Evaluations of Three Iterative Application Versions along a Design Science Research Process
Accountable Bench-to-Bedside Data-Sharing Mechanism for Researchers
Community and Capital: Experiences of Women Game Streamers in Southeast Asia
Help Me to Help You: Machine Augmented Citizen Science
Social Media, Sentiments and Political Discourse - An Exploratory Study of the 2021 Canadian Federal Election
Modeling Political Activism around Gun Debate via Social Media
An Internet-of-Things Solution to Assist Independent Living and Social Connectedness in Elderly
A Participation Architecture to Support User Peripheral Participation in a Hybrid FOSS Community
The Impact of Group Size on the Discovery of Hidden Profiles in Online Discussion Groups
On the Alignment Between Self-Declared Gender Identity and Topical Content from Wikipedia
Emoji Skin Tone Modifiers: Analyzing Variation in Usage on Social Media
An Analysis of the Consequences of the General Data Protection Regulation on Social Network Research
Experimental Investigation of Technical and Human Factors Related to Phishing Susceptibility
Content Moderation Folk Theories and Perceptions of Platform Spirit among Marginalized Social Media Users
Competition Dynamics in the Meme Ecosystem
Measuring Time-Constrained Influence to Predict Adoption in Online Social Networks
Deliberative Breakdowns in the Social Representation Process: Evidence from Reader Comments in Partisan News Sites
Emote-Controlled: Obtaining Implicit Viewer Feedback Through Emote-Based Sentiment Analysis on Comments of Popular Twitch.tv Channels
Introduction to the Special Issue on Negotiating Truth and Trust in Socio-Technical Systems
Co-opted Marginality in a Controlled Media Environment: The Influence of Social Media Affordances on the Immigration Discourse
Building Personalized Trust: Discovering What Makes One Trust and Act on Facebook Posts
Emergent Routines in Peer-Production: Examining the Temporal Evolution of Wikipedia's Work Sequences
Augmented Virtual Reality Meditation: Shared Dyadic Biofeedback Increases Social Presence Via Respiratory Synchrony
Use Ping Wisely: A Study of Team Communication and Performance under Lean Affordance
Beyond Monetary Incentives: Experiments in Paid Microtask Contests
Tracing the History and Evolution of Dark Patterns on Twitter from 2010-2021
Mi Casa es su Casa? Examining Airbnb Hospitality Exchange Practices in a Developing Economy
Spotlight Tweets: A Lens for Exploring Attention Dynamics within Online Sensemaking During Crisis Events
A Cyber-War Between Bots: Cognitive Attackers are More Challenging for Defenders than Strategic Attackers
Temporal and Geospatial Gradients of Fear and Anger in Social Media Responses to Terrorism
Looking South: Learning Urban Perception in Developing Cities
Analyzing Payment-Driven Targeted Q8A Systems
Explaining Differential Involvement in Cross-Movement Coalitions on Social Media: the #StopHateForProfit Campaign
Activity Archetypes in Question-and-Answer (Q8A) Websites - A Study of 50 Stack Exchange Instances
Uncertainty-based False Information Propagation in Social Networks
Language Proficiency and Media Richness in Global Virtual Teams: Impacts on Satisfaction, Inclusion, and Task Accomplishment
A Practical Guide for the Effective Evaluation of Twitter User Geolocation
Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature
Locating Identities in Time: An Examination of the Formation and Impact of Temporality on Presentations of the Self through Location-Based Social Networks
A Human-centered Evaluation of a Toxicity Detection API: Testing Transferability and Unpacking Latent Attributes
New Emoji Requests from Twitter Users: When, Where, Why, and What We Can Do About Them
Gendered by Design: A Duoethnographic Study of Personal Fitness Tracking Systems
The Development of Connective Action during Social Movements on Social Media
Understanding Social Roles in an Online Community of Volatile Practice: A Study of User Experience Practitioners on Reddit
Experiences of Trust in Postmortem Profile Management
Danmaku: A New Paradigm of Social Interaction via Online Videos
MFPR: A Personalized Ranking Recommendation with Multiple Feedback
Resonance+: Operationalizing Protective Action Decision Model for Finding Information Useful for Public Information Officers
A Network Analysis of Twitter Interactions by Members of the U.S. Congress
Measuring Motivations of Crowdworkers: The Multidimensional Crowdworker Motivation Scale
WallStreetBets: Assessing the Collective Intelligence of Reddit for Investment Advice
Gender and Age Influences on Interpretation of Emoji Functions
Modeling the Diffusion of Fake and Real News through the Lens of the Diffusion of Innovations Theory
Do Politicians Talk about Politics? Assessing Online Communication Patterns of Brazilian Politicians
No More One Liners: Bringing Context into Emoji Recommendations
Emoji Understanding and Applications in Social Media: Lay of the Land and Special Issue Introduction
ConsensUs: Supporting Multi-Criteria Group Decisions by Visualizing Points of Disagreement
FOX: Fast Overlapping Community Detection Algorithm in Big Weighted Networks
Identifying Framing Bias in Online News
Applying Behavioral Contagion Theory to Examining Young Adults' Participation in Viral Social Media Challenges
Highlighting High-quality Content as a Moderation Strategy: The Role of New York Times Picks in Comment Quality and Engagement
Microblog Analysis as a Program of Work
Beliefs Trump Facts: Effect of Frequent Corrections on Misinformation Beliefs during Extended Extreme Events
Happiness and Fear: Using Emotions as a Lens to Disentangle How Users Felt About the Launch of Facebook Reactions
An In-Depth Analysis of Occasional and Recurring Collaborations in Online Music Co-creation
User Engagement Triggers in Social Media Discourse on Biodiversity Conservation
Exploring the Relationship between Basic Psychological Needs and Motivation in Online Citizen Science
Visual Narratives and Collective Memory across Peer-Produced Accounts of Contested Sociopolitical Events
Face recognition using multi-scale differential invariants in statistical manifold framework
Data engineering for the electrical quality assurance of the LHC - a preliminary study
A framework for Arabic sentiment analysis using supervised classification
Entity relationship modelling of business rules: an Oracle prototype
A pattern matching approach for clustering gene expression data
Effective operators using parallel processing for nurse scheduling by cooperative genetic algorithm
Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of pattern
Proposal and study of statistical features for string similarity computation and classification
Annotation tools for syntax and named entities in the National Corpus of Polish
Automatic blush detection in 'concealed information' test using visual stimuli
Clustering-based multidimensional sequential pattern mining of semantic trajectories
eWAP-mine: enhanced mining algorithm to mine web access pattern from WAP-tree
On the selection of k efficient paths by clustering techniques
MIL: a data discretisation approach
Enhancing link prediction in dynamic social networks: a novel algorithm integrating global and local topological structures
Application of rule-based data mining in extracting the rules from the number of patients and climatic factors in instantaneous to long-term spectrum
Chatbots and ChatGPT: a bibliometric analysis and systematic review of publications in Web of Science and Scopus databases
Mining approximate sequential patterns with gaps
A comprehensive review of deep learning for natural language processing
Context-Specific Multi-Class Data Analytics for Improving Online Conversation through Deep Learning
Tuning parameters via a new rapid, accurate and parameter-less method using meta-learning
Prototype-based classification and error analysis under bootstrapping strategy
Predictive power of fantasy sports data for soccer forecasting
Paving the way for next generation data-stream clustering: towards a unique and statistically valid cluster structure at any time step
Parallel hierarchical clustering using weighted confidence affinity
Parallel, massive processing in SuperMatrix: a general tool for distributional semantic analysis of corpora
Design of cluster-wise optimal fuzzy logic controllers to model input-output relationships of some manufacturing processes
A new clustering algorithm based on Voronoi diagram
Performance of authorship attribution classifiers with short texts: application of religious Arabic fatwas
A web-based plagiarism detection method for student reports using intrinsic analysis
Application of structural equation modelling in Iranian tourism researches: challenges and guidelines
An irregular CLA-based novel frequent pattern mining approach
A cross mutation-based differential evolution for data clustering
ATESA: Audio Text Emotion & Sentiment Analyser- a Sentiment & Emotion Analysis Tool based on Deep Learning Methods
Comparing text corpora via topic modelling
A data mining approach for efficient selection bitmap join index
Support vector machine and wavelet neural network hybrid: application to bankruptcy prediction in banks
Convex and non-convex approaches for cost efficiency models with fuzzy data
A constraint programming approach for quantitative frequent pattern mining
Can market indicators forecast the port throughput?
Hierarchical++: improving the hierarchical clustering algorithm
Proposed analytical customer centric model for an automobile industry
Multi-document text summarisation using DL-BILSTM model with hybrid algorithms
An open multi-tier architecture for high-performance data mining using SOA
A comparative analysis of user attitudes towards ICO and IEO in blockchain projects: insights from social media big data
A deep-learning approach to game bot identification via behavioural features analysis in complex massively-cooperative environments
MoDA-TL - Monitoring Domestic Animals using Convolutional Neural Networks and Transfer Learning
Rule schemas and interesting association action rules mining
Recommendation system for improving churn rate based on action rules and sentiment mining
Weighted LSTM for intrusion detection and data mining to prevent attacks
Detection of research trends from bibliographical data
Sample selection algorithms for credit risk modelling through data mining techniques
K-means and DBSCAN for look-alike sound-alike medicines issue
A new process for healthcare big data warehouse integration
Locally application of random subspace with simple Bayesian classifier
Long text to image converter for financial reports
Towards a repository for scientific theory: development of a technical framework and prototype based on TheoryML
Two-phase clustering based aggregation of sensor data
A conceptual framework for community detection, characterisation and membership in a social internetworking scenario
Mapping the trajectory of sustainable finance research: an analysis using bibliometric approach
Country crime analysis using the self-organising map, with special regard to economic factors
Investigating the impact of preprocessing on document embedding: an empirical comparison
Synergistic effects between data corpora properties and machine learning performance in data pipelines
Ensemble model with improved DCNN for big data classification by handling class imbalance problem
Detection of terrorism's apologies on Twitter using a new bi-lingual dataset
Design of intelligent system for medical applications using rough set theory
Crowd behaviour analysis and anomaly detection by statistical modelling of flow patterns
Estimation of regression parameters using SVM with new methods for meta parameter
Dynamic anonymisation techniques analogy for multiple releases of data
Ensemble of large self-supervised transformers for improving speech emotion recognition
A quest for better anomaly detectors
Suggestion and solution of a mathematical model for determining effective routes in football
Application of hyper-convergent platform for big data in exploring regional innovation systems
Improving intrusion detection in the IoT with African vultures optimisation algorithm-based feature selection
A generalisation of independence in statistical models for categorical distribution
A robust framework for topological relations in the on-the-fly web map generalisation process
Rare events and imbalanced datasets: an overview
Interval graph mining
Dual stream data exploration
ABCD: agent based model for document classification
A geovisual analytics approach for mouse movement analysis
Towards robust classifiers using optimal rule discovery
Association rules in mobile game operation
Analysis and evaluation of business process management tools and techniques in the Industry 4.0
Grid-based clustering over an evolving data stream
Phish webpage classification using hybrid algorithm of machine learning and statistical induction ratios
Efficient deployment approach of wireless sensor networks on 3D terrains
A formal theoretical framework for a flexible classification process
Biclustering of gene expression data based on hybrid genetic algorithm
Visual clustering through weight entropy
Mining hidden opinions from objective sentences
Sorting paired points: a dissimilarity measure based on sorting of series
Multi-label large margin hierarchical perceptron
Efficiently mining community structures in weighted social networks
A node sets based fast and scalable frequent itemset algorithm for mining big data using map reduce paradigm
To identify the usage of clustering techniques for improving search result of a website
An approach based on the clustering of spatial requirements' models and MDA to design spatial data warehouses
Early stage analysis of breast cancer using intelligent system
Machine Learning Pipeline with an Optimal Feature Set in the Stage-wise Diagnosis of Hepatitis C Virus
A new quantitative method for simplifying complex fuzzy cognitive maps
A lexical-semantics-based method for multi label text categorisation using word net
Privacy preserving data mining using particle swarm optimisation trained auto-associative neural network: an application to bankruptcy prediction in banks
A novel approach for mining frequent patterns from incremental data
Analysing and forecasting COVID-19 vaccination - evidence from a Native American community in North Carolina, USA
A novel LWT-based robust watermark strategy for colour images
Online multi-dimensional regression analysis on concept-drifting data streams
Privacy preserving association rules mining on distributed homogenous databases
Advancements in Mental Health Diagnosis: Leveraging Delta Feature Extraction Framework and PWSA Ensemble for Motion Data Analysis
What do you think about this photo? A novel approach to opinion and sentiment analysis of photo comments
Biogeography-based optimisation for data classification problems
Profiling Cryptocurrency Influencers on Social Media: a Comparative Study using SetFit and DistilBERT
From Mylar to map documents: GIS AML inventory for abandoned coal mine investigations
Evaluating corporate performance within the frame of the expert systems technology
Knowledge discovery for anthropometric measures using data mining techniques
Extended K-modes with new weighted measure based on the domains
Improving the efficacy of clustering by using far enhanced clustering algorithm
A partition based method for finding highly correlated pairs
Detecting driver mutations in colorectal cancer through big data analysis
Extracting keywords from budget transcripts using fuzzy logic
Association rules mining using cuckoo search algorithm
Fast parallel PageRank technique for detecting spam web pages
Effect of various factors on classification performance of ordinal logistic regression
Modelling of electrical discharge machining process using regression analysis, adaptive neuro-fuzzy inference system and genetic algorithm
Churn prediction in telecommunication sector with machine learning methods
Investigation of contraction process issue in fuzzy min-max models
Developing a data pipeline solution for big data processing
Using naïve Bayesian classification as a meta-predictor to improve start codon prediction accuracy in prokaryotic organisms
Privacy preserving record linkage approaches
Automated big data quality assessment using knowledge graph embeddings
Association rule mining using enhanced apriori with modified GA for stock prediction
Application of standalone system and hybrid system for fault diagnosis of centrifugal pump using time domain signals and statistical features
Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coils
Multi-label text classification using optimised feature sets
Proactive and reactive context reasoning architecture for smart web services
An ontology-based modelling and reasoning for alerts correlation
Using implicitly and explicitly rated online customer reviews to build opinionated Arabic lexicons
Using trajectories for collaborative filtering-based POI recommendation
Visualisation techniques and its uses in representation of web usage patterns: a survey
A hybrid under-sampling approach for mining unbalanced datasets: applications to banking and insurance
Combining multiple classifiers for wrapper feature selection
Completing missing views for multiple sources of web media
Identifying immoral posts on social media platforms: a review
Satellite Image Classification using Deep Learning Model-ResNet
An efficient context-aware agglomerative fuzzy clustering framework for plagiarism detection
Hybrid classifier model for big data by leveraging map reduce framework
Design verification for database applications through analysing their support to data lifecycle
Multivariate interpolation using radial basis function networks
A frequent itemset generation approach in data mining using transaction-labelling dynamic itemset counting method
A social network analysis based approach to extracting knowledge patterns about innovation geography from patent databases
Context dependent semantic granularity
Comparative analysis of distance measures in stock network construction and cluster analysis
Time-series gradient boosting tree for stock price prediction
A comparative study of supervised/unsupervised machine learning algorithms with feature selection approaches to predict student performance
An artificial neural network-based ensemble model for credit risk assessment and deployment as a graphical user interface
An effective approach to mine relational patterns and its extensive analysis on multi-relational databases
Syntactic concordancing and multi-word expression detection
Sentiment analysis on customer reviews in Indonesian marketplace using natural language processing (a case study of organic face mask)
Temporal data warehouse logical modelling
Designing a model for selecting, ranking and optimising service quality indicators using meta-heuristic algorithms
A multivariate copula-based SUR probit model: application to insolvency probability of enterprises
Towards a hybrid NMF-based neural approach for face recognition on GPUs
Graph-based cumulative score using statistical features for multilingual automatic text summarisation
E-learning process through text mining for academic literacy
A new network-based approach to investigating neurological disorders
Abstraction through clustering: complexity reduction in automated planning domains
Efficient evaluation of partially-dimensional range queries in large OLAP datasets
Recognition of Critical Built-up Areas Located on High-hill Slope Regions using Decision Tree Technique
Deciphering published articles on cyberterrorism: a latent Dirichlet allocation algorithm application
Detecting and exploiting symmetries in sequential pattern mining
Upper bounds for time and accuracy improvement of dynamic time warping approximation
Intrusion detection system using statistical query tree with hierarchical clustering approach
Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification
Mediation system for dealing with semantic problems in databases
An innovative and efficient method for Twitter sentiment analysis
An optimisation approach for determining the efficiency of vital medical devices in intensive care units with COVID-19 patients using Apriori algorithm
Support vector machines for credit risk assessment with imbalanced datasets
Tree-based text stream clustering with application to spam mail classification
An ABC approach for depression signs on social networks posts
Data-driven journey: a data management paradigm-centric review and data mesh capabilities
Model-driven data mining engineering: from solution-driven implementations to 'composable' conceptual data mining models
Spam web page detection using combined content and link features
Overlapping community detection with a novel hybrid metaheuristic optimisation algorithm
CNODE: clustering of set-valued non-ordered discrete data
On privacy-preserving time series data classification
Comparison of harmony search derivatives for artificial neural network parameter optimisation: stock price forecasting
Discovering optimal clusters using firefly algorithm
Mining frequent patterns without tree generation
Lung disease classification using deep learning 1-D convolutional neural network