yusuke1997/dblp-id-title huggingface dataset:
The Many Faces of Social Withdrawal in Hikikomori
Need for eHealth Ethics
Combating Health Inequalities Using IT: The Case of Games for Controlling Diabetes and Obesity in Chicago's South Side
Lower Incidence of Hypertension among Swedish Speakers as Compared to Finnish Speakers in the Helsinki Birth Cohort from Finland - An Example of Early Programming of Disease?
Classification of Healthcare Robots
A Review of Health Beliefs and Their Influence on Asylum Seekers and Refugees' Health-Seeking Behavior
Special Needs of Elderly in Using Web-Based Services
Information Management Efforts in Improving Patient Safety in Critical Care - A Review of the Literature
Respecting the Patients' Needs: Supporting Connected Care Using the Accountability Shared Model
What is a PHR? Definitions of Personal Health Record (PHR) Used in Literature - A Systematic Literature Review
Trust and Respect in Entrepreneurial Information Seeking Behaviours
Digitizing Basic Occupational Health and Safety Knowledge for Ebola Virus Disease Missions - Reaching Frontline Responders Through an Online Course
The Emperor with No Clothes - Inter-organizational ICT Cooperation Within Municipal Regions
Virtual Health Check and Coaching: Insights from the Consumers and Implications for Persuasive Design
Describing a Design Thinking Methodology to Develop Sustainable Physical Activity and Nutrition Interventions in Low Resourced Settings
Information Categories Used to Create Situational Awareness in Emergency Medical Dispatch: A Scenario-Based Study
Digital Disability Divide in Finland
Participative Game Design in the Zet Project - Engaging the Youth to Enhance Wellbeing
Thinspiration Inspired by K-pop: A Comparison of K-pop Related Thinspiration Imagery and Texts to Regular Thinspiration Content on Tumblr
Is Home Telemonitoring Feasible in the Care of Chronic Diseases - Insights into Adherence to a Self-management Intervention in Renewing Health Finland Trial
Comparison of Cost and Time Effectiveness Between CT- and MRI-Based Radiotherapy Workflow for Prostate Cancer
Comprehending User Satisfaction with Smoking-Cessation Online Health Communities: A Social Support Perspective
Documentation of the Clinical Phase of the Cardiac Rehabilitation Process in a Finnish University Hospital District
Impact of Online Agro-technology Diploma Program and Its Future Perspectives for Improving Socio-economic Well-Being of Farmers in Sri Lanka
Reliability of Health Information in the Media as Defined by Finnish Physicians
Respecting the Individuals of Data Economy Ecosystems
Tactile Maps - Safety and Usability
Revitalizing the Quantitative Understanding of the Digital Divide: An Uptake on the Digital Divide Indicators
What Drives User Engagement of Theme Park Apps? Utilitarian, Hedonic, or Social Gratifications
Complaints Made to the Council for Mass Media in Finland Concerning the Personal and Professional Lives of Doctors
Supporting the Viability of E-Health Services with Pattern-Based Business Model Design - The Case of an E-Mental Health App for Maternal Depression
Local Pilots, Virtual Tools - Experiments of Health Promotive and Inclusive Services in Different Settings in the Western Uusimaa Region
Understanding the Social Media Use in Tourism: An Affordance Perspective
The Impact of Multidimensionality of Literacy on the Use of Digital Technology: Digital Immigrants and Digital Natives
Active Digiage? Desirable Futures for Ageing People
Well-Being in the Information Society. Fruits of Respect - 8th International Conference, WIS 2020, Turku, Finland, August 26-27, 2020, Proceedings
Mental Health Monitoring at Work: IoT Solutions and Privacy Concerns
Building Sustainable Health Ecosystems - 6th International Conference on Well-Being in the Information Society, WIS 2016, Tampere, Finland, September 16-18, 2016, Proceedings
Understanding University Students' Health Information Seeking Behaviours on Social Media During the COVID-19 Pandemic: A Developing Country Perspective
Well-Being in the Information Society. Fighting Inequalities - 7th International Conference, WIS 2018, Turku, Finland, August 27-29, 2018, Proceedings
Finnish Health Journalists' Perceptions of Collaborating with Medical Professionals
Well-Being of Hong Kong DSE Students in the Post-COVID-19 Age: Opportunities and Challenges for Mental Health Education and Promotion
Factors Affecting the Availability of Electronic Patient Records for Secondary Purposes - A Case Study
Understanding the Difficulties of People with Dementia and Their Caretakers in Finland
Important Features Associated with Depression Prediction and Explainable AI
Blockchain Ethics: A Systematic Literature Review of Blockchain Research
The Adoption of New Health Information and Communication Technology: Perception of the Abilities to Use New Technology and Possibilities to Get Help at it
Classification of Brain Tumor MRIs Using a Kernel Support Vector Machine
Finnish 'Silver Surfers' and Online Health Information
Tweeting about Diabetes and Diets - Content and Conversational Connections
Citizens Involvement for Safe and High Quality Urban Living: Three Success Factors for ICT-Enabled Initiatives
Safe and Secure Cities - 5th International Conference on Well-Being in the Information Society, WIS 2014, Turku, Finland, August 18-20, 2014. Proceedings
The Impact of Digitalization on the Medical Value Network
Digital Solutions for the Marginalised in Society: A Review of Systems to Address Homelessness and Avenues for Further Research
Preferred Biosignals to Predict Migraine Attack
Experiences on Telemedicine Solutions for Diabetes Care - Case eMedic Project
Unworthy Guardians: Nappula Child Welfare Information System
Social in Virtual - Viewpoints into the Development of Online Rehabilitation
Aggression Management Training at Schools
Utilizing Digital Tools to Enable Participation and Promote Respect
Data Mining in Promoting Aviation Safety Management
Digital Health Literacy as Precondition for Sustainable and Equal Health Care - A Study Focussing the Users' Perspective
Serious Games and Active Healthy Ageing: A Pre-study
Information Management in the Daily Care Coordination in the Intensive Care Unit
Design and Development of an NLP-Based Mental Health Pre-screening Tool for Undergraduate Students in Thailand: A Usability Study
Mental Health Communication on Social Media in India: Current Status and Predictors
Framework-Based ICT Governance and Survey in Northern Savonia
Evaluation of Intravenous Medication Errors with Infusion Pumps
Utilising Social Media for Intervening and Predicting Future Health in Societies
Data Federation in the Era of Digital, Consumer-Centric Cares and Empowered Citizens
Pre-studies on Using Digital Games for the Elderly's Physical Activities
Healthcare as a Business Environment - Analyzing the Finnish Health Technology Industry
Interpreting Behaviour and Emotions for People with Deafblindness
Practice-Oriented Safety Procedures in Work Environment with Visually and Hearing Impaired Colleagues
Can Mobile Health Deliver Participatory Medicine to All Citizens in Modern Society?
Special Features of Counselling Work Carried Out through Interactive TV
Social Media's Potential in Improving the Mental Well-Being of the Unemployed
The Human Resources Debt in Software Business - Towards a Research Roadmap
Vision Enhancement Technique Based on Eye Tracking System
Heart Rate Variability Measurements in Mobile Work
What Happens in Lessons? Risks and Incidents at Schools
Chasing Professional Phronesis in Safety and Well-Being: Teacher Education Curriculum as a Case
The War of Talents in Software Business - Polarisation of the Software Labour Force?
Measuring the Maturity of Healthcare Testbeds
Senior Citizens Experience of Barriers to Information About Healthy Behaviour
Mapping Business Transformation in Digital Landscape: A Prescriptive Maturity Model for Small Enterprises
Incentivizing the Use of Quantified Self Devices: The Cases of Digital Occupational Health Programs and Data-Driven Health Insurance Plans
Exploitation and Exploration Underpin Business and Insights Underpin Business Analytics
Exploring the Abyss of Inequalities - 4th International Conference on Well-Being in the Information Society, WIS 2012, Turku, Finland, August 22-24, 2012. Proceedings
Patients Using Open-Source Disease Control Software Developed by Other Patients
Study Structures in the Interplay of Stress and Coping in Higher Education
MTL-SLT: Multi-Task Learning for Spoken Language Tasks
Toward Knowledge-Enriched Conversational Recommendation Systems
Proceedings of the 4th Workshop on NLP for Conversational AI, ConvAI@ACL 2022, Dublin, Ireland, May 27, 2022
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
Understanding and Improving the Exemplar-based Generation for Open-domain Conversation
Extracting and Inferring Personal Attributes from Dialogue
A Randomized Link Transformer for Diverse Open-Domain Dialogue Generation
Conversational AI for Positive-sum Retailing under Falsehood Control
Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next
D-REX: Dialogue Relation Extraction with Explanations
From Rewriting to Remembering: Common Ground for Conversational QA Models
Multimodal Conversational AI: A Survey of Datasets and Approaches
RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing
Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents
Stylistic Response Generation by Controlling Personality Traits and Intent
KG-CRuSE: Recurrent Walks over Knowledge Graph for Explainable Conversation Reasoning using Semantic Embeddings
Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains
Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Similarity-Based Sparse Feature Extraction Using Local Manifold Learning
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Diversity in Combinations of Heterogeneous Classifiers
Reduction from Complementary-Label Learning to Probability Estimates
Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data
ROC Bot: Towards Designing Virtual Command Centre for Energy Management
Data-Aware Clustering Hierarchy for Wireless Sensor Networks
An Improved Approach for the Discovery of Causal Models via MML
BASSET: Scalable Gateway Finder in Large Graphs
TWave: High-Order Analysis of Spatiotemporal Data
A Novel Method for Offline Handwritten Chinese Character Recognition Under the Guidance of Print
Evaluation of Error-Sensitive Attributes
Blog Opinion Retrieval Based on Topic-Opinion Mixture Model
Fine-Grained Emotion Detection in Contact Center Chat Utterances
Ranking Network Embedding via Adversarial Learning
An Empirical Algorithm for Bias Correction Based on GC Estimation for Single Cell Sequencing
Rule Generalization by Condition Combination
Fast Discovery of Interesting Rules
Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions
A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry
High Average-Utility Itemset Sampling Under Length Constraints
Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes
Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms
CLEAR: Cluster-Based Prompt Learning on Heterogeneous Graphs
A Concept-Drifting Detection Algorithm for Categorical Evolving Data
Mining Personalization Interest and Navigation Patterns on Portal
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM, Jeju, South Korea, May 23, 2017, Revised Selected Papers
Finding the Real Patterns
Deep Learning for Classifying Malicious Network Traffic
Backdoor Attack Against One-Class Sequential Anomaly Detection Models
Gazetteer-Guided Keyphrase Generation from Research Papers
A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders
Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach
SSGNN: Structure-Aware Scoring Graph Neural Network for Molecular Representation
Approximated Clustering of Distributed High-Dimensional Data
Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II
Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture Models
Deep Learning for Prawn Farming - Forecasting and Anomaly Detection
Improving Literature Preselection by Searching for Images
Discovering Local Subgroups, with an Application to Fraud Detection
Efficient Pattern-Growth Methods for Frequent Tree Pattern Mining
Road Network Representation Learning with Vehicle Trajectories
Phase Space Reconstruction Based Classification of Power Disturbances Using Support Vector Machines
The Pattern Next Door: Towards Spatio-sequential Pattern Discovery
SocNL: Bayesian Label Propagation with Confidence
Cost-Sensitive Reference Pair Encoding for Multi-Label Learning
SS-FIM: Single Scan for Frequent Itemsets Mining in Transactional Databases
An Integrated Model for User Attribute Discovery: A Case Study on Political Affiliation Identification
Brownian Bridge Model for High Resolution Location Predictions
Neural Variational Collaborative Filtering for Top-K Recommendation
TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media
Comparison of Documents Classification Techniques to Classify Medical Reports
Network Data Mining and Analysis: The NEMESIS Project
New Frontiers in Applied Data Mining, PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2009. Revised Selected Papers
Mining Quality-Aware Subspace Clusters
Identifying Gene Knockout Strategy Using Bees Hill Flux Balance Analysis (BHFBA) for Improving the Production of Succinic Acid and Glycerol in Saccharomyces cerevisiae
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2021 Workshops, WSPA, MLMEIN, SDPRA, DARAI, and AI4EPT, Delhi, India, May 11, 2021 Proceedings
Convolutional Bi-directional LSTM for Detecting Inappropriate Query Suggestions in Web Search
Attention-Based Aggregation Graph Networks for Knowledge Graph Information Transfer
A Script Event Prediction Method Based on Multi-level Joint Pretraining and Prompt Fine-Tuning
An Efficient Dynamic Programming Algorithm for STR-IC-STR-IC-LCS Problem
Quality-Aware Association Rule Mining
VISOR: VIsual Seizure Onset Detection PeRsonalized for Epilepsy Patients
Nyström Approximate Model Selection for LSSVM
A Global View-Guided Autoregressive Residual Network for Irregular Time Series Classification
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine
Secured Web Services Based on Extended Usage Control
Identifying Hidden Contexts in Classification
Structured Feature Extraction Using Association Rules
A Minimax Game for Generative and Discriminative Sample Models for Recommendation
Integer Linear Programming for Pattern Set Mining; with an Application to Tiling
Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets
Mining Association Rules on Related Numeric Attributes
Linked Vaccine Adverse Event Data Representation from VAERS for Biomedical Informatics Research
Genomic Variant Classification for MECP2 Mutation Pathogenicity
Activity Recognition Using Discriminant Sequence Patterns in Smart Environments
Domain Transfer via Multiple Sources Regularization
A Proximity Forest for Multivariate Time Series Classification
Advances in Knowledge Discovery and Data Mining, 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings
Seeing Several Stars: A Rating Inference Task for a Document Containing Several Evaluation Criteria
A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index
Blind Data Linkage Using n-gram Similarity Comparisons
Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II
Threshold Tuning for Improved Classification Association Rule Mining
Stable Bayesian Optimization
Sample Subset Optimization for Classifying Imbalanced Biological Data
A Privacy Preserving Bayesian Optimization with High Efficiency
Learning Rules to Extract Protein Interactions from Biomedical Text
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection
Classifier Risk Estimation Under Limited Labeling Resources
Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering
A Minimal Description Length Scheme for Polynomial Regression
Learning to Advertise: How Many Ads Are Enough?
Treatment Effect Estimation for Graph-Structured Targets
Graph-Based Clustering with Constraints
Fashion Recommendation with Multi-relational Representation Learning
A Performance Evaluation Model for Taxi Cruising Path Recommendation System
Reliable Aggregation Method for Vector Regression Tasks in Crowdsourcing
Conditional Denoising Diffusion for Sequential Recommendation
Decentralisation of ScoreFinder: A Framework for Credibility Management on User-Generated Contents
Constraint Based Subspace Clustering for High Dimensional Uncertain Data
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach
Late Fusion Ensembles for Speech Recognition on Diverse Input Audio Representations
Causal Combinatorial Factorization Machines for Set-Wise Recommendation
A GNN-Enhanced Game Bot Detection Model for MMORPGs
A Machine Learning Approach to Detecting Instantaneous Cognitive States from fMRI Data
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems
HOT: Hypergraph-Based Outlier Test for Categorical Data
CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums
Classifying Unseen Cases with Many Missing Values
Machine Learning Approaches for Interactive Verification
A SAT-Based Framework for Overlapping Community Detection in Networks
Data Mining for Surveillance Applications
Evaluation of Position-Constrained Association-Rule-Based Classification for Tree-Structured Data
A Hybrid Loss Framework for Decomposition-Based Time Series Forecasting Methods: Balancing Global and Component Errors
Game Theoretic Approaches to Knowledge Discovery and Data Mining
Time-Series Prediction with Cloud Models in DMKD
PatZip: Pattern-Preserved Spatial Data Compression
Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering
Mining Concept Associations for Knowledge Discovery Through Concept Chain Queries
Automating Reading Comprehension by Generating Question and Answer Pairs
Discovering Structure from Document Databases
Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases
X-Tracking the Changes of Web Navigation Patterns
Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge
Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery
Self-supervised Adaptive Aggregator Learning on Graph
A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction
Cost-Based Quality Measures in Subgroup Discovery
Neural Marked Hawkes Process for Limit Order Book Modeling
Hunting Inside N-Quantiles of Outliers (Hino)
Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part III
DELISP: Efficient Discovery of Generalized Sequential Patterns by Delimited Pattern-Growth Technology
Representing Large Concept Hierarchies Using Lattice Data Structure
A Hierarchical Structure-Aware Embedding Method for Predicting Phenotype-Gene Associations
Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models
AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life
Semi-Supervised Text Classification via Self-Paced Semantic-Level Contrast
Integrative Parameter-Free Clustering of Data with Mixed Type Attributes
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
Locally Weighted Ensemble Learning for Regression
Hierarchical Clustering Based on Mathematical Optimization
Threonine Biosynthesis Pathway Simulation Using IBMDE with Parameter Estimation
Maintaining Frequent Itemsets over High-Speed Data Streams
Anonymizing Transaction Data by Integrating Suppression and Generalization
Progressive AutoSpeech: An Efficient and General Framework for Automatic Speech Classification
A Distributed and Cooperative Black Hole Node Detection and Elimination Mechanism for Ad Hoc Networks
Mining Frequent Instances on Workflows
Handling Korean Out-of-Vocabulary Words with Phoneme Representation Learning
Dual-State Knowledge Tracing Model with Mutual Information Maximization
Topic-Specific Retweet Count Ranking for Weibo
Applying Pattern Mining to Web Information Extraction
Activity-Partner Recommendation
Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings
STC: A Joint Sentiment-Topic Model for Community Identification
pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints
Event Mining with Event Processing Networks
Multi-Augmentation Contrastive Learning as Multi-Objective Optimization for Graph Neural Networks
A Comparative Study on Parallel LDA Algorithms in MapReduce Framework
A Local Online Learning Approach for Non-linear Data
FFS - An I/O-Efficient Algorithm for Mining Frequent Sequences
Mining Specific Features for Acquiring User Information Needs
Utilizing Sequences of Touch Gestures for User Verification on Mobile Devices
Human Activity Recognition Using Semi-supervised Multi-modal DEC for Instagram Data
Sequential Pattern Mining with Time Intervals
Personalized Smartphone Wearing Behavior Analysis
Application of Discrimination Degree for Attributes Reduction in Concept Lattice
A Method of Similarity Measure and Visualization for Long Time Series Using Binary Patterns
Parallel Discord Discovery
Unsupervised Feature Weighting Based on Local Feature Relatedness
Text Classification for Thai Medicinal Web Pages
Answer Diversification for Complex Question Answering on the Web
On Reducing Dimensionality of Labeled Data Efficiently
Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits
SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning
Cost-Sensitive Listwise Ranking Approach
epsilon-Tube Based Pattern Selection for Support Vector Machines
Efficient Methods for Multi-label Classification
Boosting the Performance of Nearest Neighbour Methods with Feature Selection
Beyond Single Parsers: An Empirical Analysis of Dependency Parse Tree Aggregation
Crest: Cluster-based Representation Enrichment for Short Text Classification
Identifying In-App User Actions from Mobile Web Logs
Transfer Reinforcement Learning Based Negotiating Agent Framework
SplineFormer: Improving Time Series Forecasting with Kolmogorov-Arnold Networks and Enhanced ProbSparse Self-Attention
Estimating Descriptors for Large Graphs
Text Generation Based on Generative Adversarial Nets with Latent Variables
An Optimization Method for Proportionally Diversifying Search Results
Single-agent vs. Multi-agent LLM Strategies for Automated Student Reflection Assessment
GOSP: A Granularity-Optimized SPARQL Generation Framework for Knowledge Base Question Answering
Flexible Framework for Time-Series Pattern Matching over Multi-dimension Data Stream
Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams