yusuke1997/dblp-id-title huggingface dataset:
A Pilot Study of the KIBO Robot in Children with Severe ASD
Will Older Adults Accept a Humanoid Robot as a Walking Partner?
Measuring Anthropomorphism of a New Humanoid Hand-Arm System
Within, Between, Forced Choice, or Likert Scale? How Methodological Decisions Influence Recognition Rates in HRI Recognition Studies
A Robot for Test Bed Aimed at Improving Telepresence System and Evasion from Discomfort Stimuli by Online Learning
The Uncanny in the Wild. Analysis of Unscripted Human-Android Interaction in the Field
How Does Children's Anthropomorphism of a Social Robot Develop Over Time? A Six-Wave Panel Study
Usability of a Robot Avatar Designed for the Real World: The Alter-Ego X Case Study
Ethics & Robotics, Embodiment and Vulnerability
Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot Interaction
Towards Artificial Empathy - How Can Artificial Empathy Follow the Developmental Pathway of Natural Empathy?
When it is ok to give the Robot Less: Children's Fairness Intuitions Towards Robots
Break the Ice: a Survey on Socially Aware Engagement for Human-Robot First Encounters
Using Theatre to Study Interaction with Care Robots
Affect-Enhancing Speech Characteristics for Robotic Communication
Can Mobilising Specialists be Relieved by a Robotic System for the Early Mobilisation of Intensive-Care Patients? A Quantitative Longitudinal Study at Two Data Collection Points at a German University Hospital
Towards Technology Domestication in a Care Organization? Facilitating and Hindering Factors in Care Robot Use
Technology Acceptance Model for Lawyer Robots with AI: A Quantitative Survey
Exploring the Non-significant Difference on Students' Cognitive Load Imposed by Robotics Tasks in Pair Learning
Unethical Robot Teammates: The Effects of Wrongdoer Identity and Entity Type on Whistleblowing and Intergroup Dynamics
A Touching Connection: How Observing Robotic Touch Can Affect Human Trust in a Robot
Evaluating Human-Care Robot Services for the Elderly: An Experimental Study
Design and Development of a Multifingered Prosthetic Hand
User-Adaptive Interaction in Social Robots: A Survey Focusing on Non-physical Interaction
Robots Sing the Body Electric: Investigations of Body Language for Social and Spatial Interaction
A Collaborative Homeostatic-Based Behavior Controller for Social Robots in Human-Robot Interaction Experiments
Robotic Versus Human Coaches for Active Aging: An Automated Social Presence Perspective
Biometric Emotion Assessment and Feedback in an Immersive Digital Environment
Correction to: Gendered Human-Robot Interactions in Services
Reliable People Detection Using Range and Intensity Data from Multiple Layers of Laser Range Finders on a Mobile Robot
Determination of Age and Gender Based on Features of Human Motion Using AdaBoost Algorithms
Tactile Interaction with Social Robots Influences Attitudes and Behaviour
Co-existing with Drones: A Virtual Exploration of Proxemic Behaviours and Users' Insights on Social Drones
Multimodal Information Fusion for Automatic Aesthetics Evaluation of Robotic Dance Poses
Applying Kansei/Affective Engineering Methodologies in the Design of Social and Service Robots: A Systematic Review
The Phenotypes of Anthropomorphism and the Link to Personality Traits
Potential Applications of Social Robots in Robot-Assisted Interventions for Social Anxiety
Attitudes Towards Robots Measure (ARM): A New Measurement Tool Aggregating Previous Scales Assessing Attitudes Toward Robots
Exploring Priority Parameters in Physiotherapist Decision Models for Tailoring Robot-Aided Rehabilitation
Softness, Warmth, and Responsiveness Improve Robot Hugs
Learning of Planning Models for Dexterous Manipulation Based on Human Demonstrations
Human-Inspired Robotic Eye-Hand Coordination Enables New Communication Channels Between Humans and Robots
Perceptions of Agent Loyalty with Ancillary Users
Emotion and Mood Blending in Embodied Artificial Agents: Expressing Affective States in the Mini Social Robot
How an Android Expresses "Now Loading...": Examining the Properties of Thinking Faces
Online Gait Phase Detection in Complex Environment Based on Distance and Multi-Sensors Information Fusion Using Inertial Measurement Units
A Cybernetic Avatar System to Embody Human Telepresence for Connectivity, Exploration, and Skill Transfer
A Mini-survey on Psychological Pillars of Empathy for Social Robots: Self-Awareness, Theory of Mind, and Perspective Taking
Peers' Experience Learning for Developmental Robots
The Effect of Embodiment in Sign Language Tutoring with Assistive Humanoid Robots
Healthcare Robotics Control for Upper Limb Paralysis in Neuromuscular Diseases: User-Centered Design for Responsible Technology Development
How Service Robots Can Improve Workplace Experience: Camaraderie, Customization, and Humans-in-the-Loop
Ethical Considerations of Applying Robots in Kindergarten Settings: Towards an Approach from a Macroperspective
DMP-Based Reactive Robot-to-Human Handover in Perturbed Scenarios
Human-Robot Facial Expression Reciprocal Interaction Platform: Case Studies on Children with Autism
Simplified Stable Admittance Control Using End-Effector Orientations
Adaptive Social Planner to Accompany People in Real-Life Dynamic Environments
Data Augmentation for Deep Graph Learning: A Survey
Knowledge Discovery in Databases: Ten years after
Sparse methods for biomedical data
Learning to extract information from large domain-specific websites using sequential models
Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges
Report on UBDM-05: Workshop on Utility-Based Data Mining
Adaptive learning and mining for data streams and frequent patterns
Frequent closed itemset based algorithms: a thorough structural and analytical survey
Voting with a parameterized veto strategy: solving the KDD Cup 2006 problem by means of a classifier committee
Retail sales prediction and item recommendations using customer demographics at store level
MultiClust 2010: discovering, summarizing and using multiple clusterings
Meta-clustering of gene expression data and literature-based information
Overview of the ACM SIGKDD 2004 workshops
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation
Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective
Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper
VISA: visual subspace clustering analysis
Instance Filtering for entity recognition
KDD physics task: discussion of modeling approaches
Feature Engineering for a Gene Regulation Prediction Task
Mining biologically active patterns in metabolic pathways using microarray expression profiles
Prediction and ranking algorithms for event-based network data
The Download Estimation task on KDD Cup 2003
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities
The b2biers System: A Content-Based Perspective on Maximizing Influence and Subscription in Social Networks
Mining text and social streams: a review
Latent semantic indexing (LSI) fails for TREC collections
Maximizing classifier utility when training data is costly
Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database
A Survey on Truth Discovery
Progress Indication for Machine Learning Model Building: A Feasibility Demonstration
Mining anatomical, physiological and pathological information from medical images
A combination of approaches to solve task "How Many Ratings" of the KDD CUP 2007
MoralBench: Moral Evaluation of LLMs
Correlation clustering
Constrained frequent pattern mining: a pattern-growth view
Supervised Learning Techniques in Mobile Device Apps for Androids
A conversation with Professor Bole Shi
Open challenges for Machine Learning based Early Decision-Making research
Summary of the first ACM SIGKDD workshop on knowledge discovery from uncertain data (U'09)
Scalable mining and link analysis across multiple database relations
A block-based support vector machine approach to the protein homology prediction task in KDD Cup 2004
Algorithms for Association Rule Mining - A General Survey and Comparison
A brief survey on anonymization techniques for privacy preserving publishing of social network data
Spatial data mining to support pandemic preparedness
PinKDD'08: privacy, security, and trust in KDD post workshop report
Link mining applications: progress and challenges
Network-based Fake News Detection: A Pattern-driven Approach
A report on the fourth ACM international conference on web search and data mining (WSDM 2011)
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
Misinformation in Social Media: Definition, Manipulation, and Detection
SNAKDD 2008 social network mining and analysis postworkshop report
Editorial: special issue on learning from imbalanced data sets
FpVAT: a visual analytic tool for supporting frequent pattern mining
AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models
Trajectory privacy in location-based services and data publication
Report on the Workshop on Research Issues in Data Mining and Knowledge Discovery Workshop (DMKD 2001)
Mining source code elements for comprehending object-oriented systems and evaluating their maintainability
Text Mining as Integration of Several Related Research Areas: Report on KDD'2000 Workshop on Text Mining
The 5th international workshop on multimedia data mining (MDM/KDD2004)
Supervised patient similarity measure of heterogeneous patient records
Report on the KDD2000 Panel Personalization and Data Mining: Exploring the Synergies
Web data mining: exploring hyperlinks, contents, and usage data
Chinese named entity recognition using lexicalized HMMs
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1)
Visual analysis of dynamic group membership in temporal social networks
Prospects and challenges for multi-relational data mining
Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges
Multirelational data mining 2003: workshop report
Cryptographic Techniques for Privacy-Preserving Data Mining
Theoretical Foundations and Algorithms for Outlier Ensembles
Advances in frequent itemset mining implementations: report on FIMI'03
The Internet of Things: Opportunities and Challenges for Distributed Data Analysis
Artificial Neural Networks - A Science in Trouble
A conversation with Professor Li-Zhu Zhou
Visual analytics: how much visualization and how much analytics?
Data Mining Models as Services on the Internet
Association against dissociation: some pragmatic considerations for frequent itemset generation under fixed and variable thresholds
UBDM 2006: Utility-Based Data Mining 2006 workshop report
Winning the KDD99 Classification Cup: Bagged Boosting
Differential expression, class discovery and class prediction using S-PLUS and S+ArrayAnalyzer
Postprocessing in Machine Learning and Data Mining
Multi-relational data mining: the current frontiers
KDD Cup 2007 task 1 winner report
Multi-Class protein fold recognition using large margin logic based divide and conquer learning
Frugal AI: Introduction, Concepts, Development and Open Questions
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift
Data mining methods for anomaly detection KDD-2005 workshop report
A Preprocessing Scheme for High-Cardinality Categorical Attributes in Classification and Prediction Problems
Learning important models for web page blocks based on layout and content analysis
Synthetic data for learning-based knowledge discovery
KDD-Cup 99: Knowledge Discovery In a Charitable Organization's Donor Database
Report on the SIGKDD 2001 Conference Panel "New Research Directions in KDD"
Distributed Data Clustering Can Be Efficient and Exact
BIOKDD 2008: a workshop report on data mining in bioinformatics
A Perspective on Inductive Databases
Data mining standards, services and platforms 2005 workshop report
Discovering Data Mining: From Concept to Implementation (Book Review)
Novel tools to streamline the conference review process: experiences from SIGKDD'09
KDnuggets Interview with Usama Fayyad
A Fine Grained Heuristic to Capture Web Navigation Patterns
Efficient deployment of predictive analytics through open standards and cloud computing
Change detection in streaming data in the era of big data: models and issues
Using unsupervised link discovery methods to find interesting facts and connections in a bibliography dataset
Blockchain for Large Language Model Security and Safety: A Holistic Survey
Anomaly Detection using Generative Adversarial Networks Reviewing methodological progress and challenges
Workshop Report: 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
Privacy preservation in the dissemination of location data
A privacy-aware trajectory tracking query engine
A report on the human computation workshop (HComp 2009)
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics
Exploiting relational structure to understand publication patterns in high-energy physics
Mining big data: current status, and forecast to the future
A survey of kernels for structured data
Mining Patterns in Long Sequential Data with Noise
Classification of heterogeneous gene expression data
BIOKDD06: data mining in Bioinformatics
Managing discoveries in the visual analytics process
Topic-based social network analysis for virtual communities of interests in the dark web
State of the art of graph-based data mining
Report on the second KDD workshop on data mining for advertising
Open challenges for data stream mining research
KDD-2002 Workshop Report Fractals and Self-similarity in Data Mining: Issues and Approaches
Probabilistic logic learning
Minority report in fraud detection: classification of skewed data
Surf or sleep?: Understanding the influence of bedtime patterns on campus
A conversation with Dr. Edward Y. Chang
Profiling your Customers using Bayesian Networks
Correlating summarization of multi-source news with k-way graph bi-clustering
KDnuggets Interview with Jesus Mena
The case for anomalous link discovery
Feature selection for text categorization on imbalanced data
Incremental pattern discovery on streams, graphs and tensors
Survey on social tagging techniques
A conversation with MSRA researchers
Predictive analysis of engine health for decision support
Parameter optimized, vertical, nearest-neighbor-vote and boundary-based classification
Web Content Extraction: a MetaAnalysis of its Past and Thoughts on its Future
Applying Data Mining to Intrusion Detection: The Quest for Automation, Efficiency, and Credibility
Predicting the Effects of Gene Deletion
Discovering Matrix Association from Biological Databases
Acoustic Structural Integrity Assessment of Ceramics using Supervised Machine Learning and Uncertainty-Based Rejection
On the Applicability of Machine Learning Fairness Notions
The MP13 Approach to the KDD'99 Classifier Learning Contest
A Survey on Wavelet Applications in Data Mining
The Segment Support Map: Scalable Mining of Frequent Itemsets
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
Marginal Nodes Matter: Towards Structure Fairness in Graphs
Brain network analysis: a data mining perspective
Feature Selection for Fault Detection and Prediction based on Event Log Analysis
What's Interesting About Cricket? - On Thresholds and Anticipation in Discovered Rules
A Framework for Collocation Error Correction in Web Pages and Text Documents
Report of the First International Workshop on Learning over Multiple Contexts (LMCE 2014)
Urban Human Mobility: Data-Driven Modeling and Prediction
An Interview with Dr. Huan Liu, Winner of ACM SIGKDD 2022 Innovation Award
Interview with Simon Funk
KDD-98 Exhibits Everview
Clustering high dimensional data: examining differences and commonalities between subspace clustering and text clustering - a position paper
An introduction to SIGKDD and a reflection on the term 'data mining'
Learning by Googling
Blogosphere: research issues, tools, and applications
A conversation with Professors Deyi Li and Jie Tang
Research issues in outlier detection for data streams
Tools for Privacy Preserving Data Mining
An Interactive Data Repository with Visual Analytics
Report on MDM/KDD2000: The 1st International Workshop on Multimedia Data Mining
Loss-based estimation with cross-validation: applications to microarray data analysis
Multi-relational data mining 2004: workshop report
Diversity and Inclusion Activities in EGC - A 2022 Report
The myth of the double-blind review?: author identification using only citations
Discovery in multi-attribute data with user-defined constraints
Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation
A Bibliography of Temporal, Spatial and Spatio-Temporal Data Mining Research
The Ferrety algorithm for the KDD Cup 2005 problem
A conversation with Professor Zhi-Hua Zhou
WebKDD 2005: web mining and web usage analysis post-workshop report
The KDD Cup 2019 Report
Multi-Relational Data Mining 2005: workshop report
Measuring Lift Quality in Database Marketing
Improving classification of microarray data using prototype-based feature selection
Class imbalances versus small disjuncts
The DevOps Paradigm with Cloud Data Analytics for Green Business Applications
On the medical frontier: the 2006 KDD Cup competition and results
Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report
An Interview with Dr. Balaji Krishnapuram, Winner of SIGKDD Service Award
DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models
An Interview with Dr. Michael Zeller, Winner of ACM SIGKDD 2020 Service Award
Introduction to the special issue on link mining
Collaborative Filtering for Binary, Positiveonly Data
Trajectory anonymity in publishing personal mobility data
Supply Chain Link Prediction on Uncertain Knowledge Graph
KDD-99 Panel on Last 10 and Next 10 years
Classification trees for problems with monotonicity constraints
Toward a Progress Indicator for Machine Learning Model Building and Data Mining Algorithm Execution: A Position Paper
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
Fairness in Large Language Models: A Taxonomic Survey
Predicting who rated what in large-scale datasets
Editorial: Online, Interactive, and Anytime Data Mining
Algorithmic and statistical challenges in modern largescale data analysis are the focus of MMDS 2008
On exploiting the power of time in data mining
Inactive learning?: difficulties employing active learning in practice
WebKDD/SNAKDD 2007: web mining and social network analysis post-workshop report
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings
An Interview with Dr. Shipeng Yu, Winner of ACM SIGKDD 2021 Service Award
Randomization in Privacy-Preserving Data Mining
Social network analysis and mining to support the assessment of on-line student participation
The Holy Grail of "Systems for Machine Learning": Teaming humans and machine learning for detecting cyber threats
Women Data Science Leaders in Russia
Quick and dirty quantum predictions with FIRMplus
Process mining: making knowledge discovery process centric
Data Science Summer Academy for Chicago Public School Students
An Interview with Dr. Thorsten Joachims, Winner of ACM SIGKDD 2020 Innovation Award
On power law distributions in large-scale taxonomies
Co-Designing Learning Materials to Empower Laypersons to Better Understand Big Data and Big Data Methods
Mining interesting subgraphs by output space sampling
Higher-Order Networks Representation and Learning: A Survey
Scalability for Clustering Algorithms Revisited
A conversation with Professor Shan Wang et al
Cross domain similarity mining: research issues and potential applications including supporting research by analogy
KDD 2020 Highlights
Gene ranking using bootstrapped P-values
Intelligent Disaster Response via Social Media Analysis A Survey
Adversarial Attacks and Defenses: An Interpretation Perspective
Introduction to the special section on clinical data mining
SPARTAN : using constrained models for guaranteed-error semantic compression
Stop using the elbow criterion for k-means and how to choose the number of clusters instead
Open source analytics: an introduction to the special issue
MMIS07, 08: mining multiple information sources workshop report
Can exclusive clustering on streaming data be achieved?
WEBKDD 2000 - Web Mining for E-Commerce
A Survey on Social Media Anomaly Detection
Revenue recovering with insolvency prevention on a Brazilian telecom operator
A critical review of multi-objective optimization in data mining: a position paper
Report on the SIGKDD-2002 Panel The Perfect Data Mining Tool: Interactive or Automated
On the Measurement and Prediction of Web Content Utility: A Review
Question Quality in Community Question Answering Forums: a survey
Service quality improvement through business process management based on data mining
The 6th international workshop on Multimedia Data Mining (MDM/KDD2005)
Learning missing values from summary constraints
Data mining for improving textbooks
A multistrategy approach for digital text categorization from imbalanced documents
WebKDD 2006: web mining and web usage analysis post-workshop report
KDD/MDM 2006: The 7 th KDD Multimedia Data Mining workshop report
Workshop Report: 2000 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
KDD-2004 workshop report link analysis and group detection (LinkKDD-2004)
Challenging research issues in data mining, databases and information retrieval
Sampling algorithms for pure network topologies: a study on the stability and the separability of metric embeddings
Distributed higher order association rule mining using information extracted from textual data
Building acceptable classification models for financial engineering applications: thesis summary
Interactive Mining and Knowledge Reuse for the Closed-Itemset Incremental-Mining Problem
Introduction to the special issue on successful real-world data mining applications
Novel data stream pattern mining report on the StreamKDD'10 workshop
Statistics and Data Mining: Intersecting Disciplines
Supervised analysis when the number of candidate features (p) greatly exceeds the number of cases (n)
Scalable Data Mining with Model Constraints
"In vivo" spam filtering: a challenge problem for KDD
WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report
Adaptive RiskAware Bidding with Budget Constraint in Display Advertising
KDD cup 2008 and the workshop on mining medical data
Market basket recommendations for the HP SMB store
Classifying search engine queries using the web as background knowledge
Introduction to the Special Section on AI in Manufacturing: Current Trends and Challenges
Why so many clustering algorithms: a position paper
StReBio'09: statistical relational learning and mining in bioinformatics
What's PMML and what's new in PMML 4.0?
Mining large streams of user data for personalized recommendations
A Survey of Multi-Label Topic Models
A report on the fourth international workshop on environmental applications of machine learning (EAML 2004)
Mining structures for semantics
Advancing Table Understanding of Large Language Models via Feature Re-ordering
User Identity Linkage across Online Social Networks: A Review
Background and Overview for KDD Cup 2002 Task 1: Information Extraction from Biomedical Articles
Visual Data Mining - KDD Workshop Report
Interview with Jon Kleinberg
KDD Cup and workshop 2007
Knowledge discovery from sensor data (SensorKDD)
SIGKDD Impact Program 2018
Mining semantics for large scale integration on the web: evidences, insights, and challenges
Anti-matter detection: particle physics model for KDD Cup 2004
Multi-Relational Data Mining: a Workshop Report
Comparison of graph-based and logic-based multi-relational data mining
Budding Data Scientists Hackathon
Exploratory medical knowledge discovery: experiences and issues