yusuke1997/dblp-id-title huggingface dataset:
Personalized Federated Continual Learning via Multi-Granularity Prompt
ArnetMiner: extraction and mining of academic social networks
Rough Sets Similarity-Based Learning from Databases
The Gap between Deep Learning and Law: Predicting Employment Notice
Tutorial on Online User Engagement: Metrics and Optimization
Experiments with non-parametric topic models
Entity profiling with varying source reliabilities
Learned Token Pruning for Transformers
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
A Web page prediction model based on click-stream tree representation of user behavior
CNTK: Microsoft's Open-Source Deep-Learning Toolkit
Migration motif: a spatial - temporal pattern mining approach for financial markets
Joint Community and Structural Hole Spanner Detection via Harmonic Modularity
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting
Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation
Collaborative filtering with temporal dynamics
Data and Structural k-Anonymity in Social Networks
Collaborative Quality Filtering: Establishing Consensus or Recovering Ground Truth?
Combining partitions by probabilistic label aggregation
Exact and Estimation of Local Edge-centric Graphlet Counts
Proceedings of the 1st Workshop on Knowledge Discovery and User Modelling for Smart Cities co-located with 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, UMCit@KDD 2018, London, United Kingdom, August 20, 2018
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Response prediction using collaborative filtering with hierarchies and side-information
Efficient multi-task feature learning with calibration
When is a Network a Network?: Multi-Order Graphical Model Selection in Pathways and Temporal Networks
An effective evaluation measure for clustering on evolving data streams
Transforming classifier scores into accurate multiclass probability estimates
A generative probabilistic approach to visualizing sets of symbolic sequences
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
Dynamic Deep Clustering of High-Dimensional Directional Data via Hyperspherical Embeddings with Bayesian Nonparametric Mixtures
Toward Responsible AI by Planning to Fail
MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Understanding the Semantics of GPS-based Trajectories for Road Closure Detection
Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records
A Block Decomposition Algorithm for Sparse Optimization
AESOP: Automatic Policy Learning for Predicting and Mitigating Network Service Impairments
Fast flux discriminant for large-scale sparse nonlinear classification
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising
Learning Discrete Document Representations in Web Search
FLOP: Federated Learning on Medical Datasets using Partial Networks
Data Watermarking for Sequential Recommender Systems
Quantifying and Minimizing Risk of Conflict in Social Networks
Learning to Score Economic Development from Satellite Imagery
A cost-effective recommender system for taxi drivers
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors
Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework
SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape
Communication-Efficient Robust Federated Learning with Noisy Labels
Unsupervised learning on k-partite graphs
An Assessment of PrIL
SE-Trees Outperform Decision Trees in Noisy Domains
Dynamic Knowledge Graph based Multi-Event Forecasting
Enhance Diffusion to Improve Robust Generalization
COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation
Research issues in mining multiple data streams
Where the blogs tip: connectors, mavens, salesmen and translators of the blogosphere
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Cross-Context Backdoor Attacks against Graph Prompt Learning
PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy
The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project
TMC 2021: 2021 International Workshop on Talent and Management Computing
Clustering for Private Interest-based Advertising
Cluster-based concept invention for statistical relational learning
On the Use of Constrained Associations for Web Log Mining
Discovering regions of different functions in a city using human mobility and POIs
Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations
Discovering similar patterns in time series
ProgRPGAN: Progressive GAN for Route Planning
Recruitment Market Trend Analysis with Sequential Latent Variable Models
BLISS: A Billion scale Index using Iterative Re-partitioning
Classification of proxy labeled examples for marketing segment generation
Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library
Hi-CI: Deep Causal Inference in High Dimensions
Multimedia Knowledge Integration, Summarization And Evaluation
PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text
Set Cover at Web Scale
Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming
Improving Ego-Cluster for Network Effect Measurement
Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach
A demonstration of human computation using the Phrase Detectives annotation game
The Dark Side of Machine Learning Algorithms: How and Why They Can Leverage Bias, and What Can Be Done to Pursue Algorithmic Fairness
European Data Science Day: KDD-2024 Special Day
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond
Indexing multi-dimensional time-series with support for multiple distance measures
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification
Exploiting underrepresented query aspects for automatic query expansion
Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation
Stability of influence maximization
State-Sharing Sparse Hidden Markov Models for Personalized Sequences
User-level sentiment analysis incorporating social networks
Real-time disease surveillance using Twitter data: demonstration on flu and cancer
An Extensible Event Extraction System With Cross-Media Event Resolution
Proceedings of the First Workshop on Social Media Analytics, SOMA@KDD 2010, Washington, DC, USA, July 25, 2010
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks
Physics Inspired Models in Artificial Intelligence
Mining GPS Data to Augment Road Models
Dual-view Molecular Pre-training
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace
Privacy-preserving distributed k-means clustering over arbitrarily partitioned data
Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised Learning
The data mining approach to automated software testing
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search
Auditing for Diversity Using Representative Examples
Online Amnestic DTW to allow Real-Time Golden Batch Monitoring
Collaborative Multi-View Denoising
MedDiTPro: A Prompt-Guided Diffusion Transformer for Multimodal Longitudinal Medical Data Synthesis
Experimental study of discovering essential information from customer inquiry
A Framework for Customizable Sports Video Management and Retrieval
Model compression
Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking
An exploration of climate data using complex networks
FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation
Mining in the Presence of Selectivity Bias and its Application to Reject Inference
Dual-Assessment Driven Pruning: Iterative Optimizing Layer-wise Sparsity for Large Language Model
BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals
Cross domain distribution adaptation via kernel mapping
Next frontier
Predicting employee expertise for talent management in the enterprise
MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension
NodeAug: Semi-Supervised Node Classification with Data Augmentation
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction
Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning
On Discrimination Discovery and Removal in Ranked Data using Causal Graph
Bootstrapping Complete The Look at Pinterest
Deep Visual-Semantic Hashing for Cross-Modal Retrieval
The Process of Knowledge Discovery in Databases: A First Sketch
Flexible Graph Neural Diffusion with Latent Class Representation Learning
Improving spatial locality of programs via data mining
Non-linear dimensionality reduction techniques for classification and visualization
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data
Frequent subgraph mining in outerplanar graphs
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs
Multi-level organization and summarization of the discovered rules
DuARE: Automatic Road Extraction with Aerial Images and Trajectory Data at Baidu Maps
Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning
Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment
Sampling for big data: a tutorial
State Dependent Parallel Neural Hawkes Process for Limit Order Book Event Stream Prediction and Simulation
Modeling Extreme Events in Time Series Prediction
Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability Enhancement
Regret-based online ranking for a growing digital library
Discovering shakers from evolving entities via cascading graph inference
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement
3D-Polishing for Triangular Mesh Compression of Point Cloud Data
CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning
Generative models for ticket resolution in expert networks
Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns
Sleep analytics and online selective anomaly detection
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018
A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games
Pricing guidance in ad sale negotiations: the PrintAds example
Efficient Search for Strong Partial Determinations
Mining text snippets for images on the web
Reinvent the Operation not the Architecture: Quantum-inspired High-order Product for Compatible and Improved LLMs Training
Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations
User Conditional Hashtag Prediction for Images
Learning Differential Operators for Interpretable Time Series Modeling
Discriminative topic modeling based on manifold learning
Graph Mamba: Towards Learning on Graphs with State Space Models
An Interactive Visualization Environment for Data Exploration
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Dip-based Deep Embedded Clustering with k-Estimation
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs
Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination
Lorentzian Residual Neural Networks
Marrying Dialogue Systems with Data Visualization: Interactive Data Visualization Generation from Natural Language Conversations
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Workshop on Human-Interpretable AI
Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes
Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning
In Search for a Cure: Recommendation With Knowledge Graph on CORD-19
Testing Dynamic Incentive Compatibility in Display Ad Auctions
Workshop on Applied Machine Learning Management
Retaining Privileged Information for Multi-Task Learning
Investigate Transitions into Drug Addiction through Text Mining of Reddit Data
Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi
Relevance Meets Diversity: A User-Centric Framework for Knowledge Exploration Through Recommendations
Finding Contextually Consistent Information Units in Legal Text
Proceedings of the 3rd ACM SIGKDD Workshop on Data Mining and Audience Intelligence for Advertising, Paris, France, June 28, 2009
Anytime Exploratory Data Analysis for Massive Data Sets
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction
Learning with dual heterogeneity: a nonparametric bayes model
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images
Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching
Efficient Approximate Algorithms for Empirical Variance with Hashed Block Sampling
Come-and-Go Patterns of Group Evolution: A Dynamic Model
Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data
T3Set: A Multimodal Dataset with Targeted Suggestions for LLM-based Virtual Coach in Table Tennis Training
A Difficulty-Aware Framework for Churn Prediction and Intervention in Games
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences
Causal Inference Meets Machine Learning
Multi-task Conditional Attention Network for Conversion Prediction in Logistics Advertising
DP-GAT: A Framework for Image-based Disease Progression Prediction
Extracting Optimal Performance from Dynamic Time Warping
CAFO: Feature-Centric Explanation on Time Series Classification
Naranjo Question Answering using End-to-End Multi-task Learning Model
The First Workshop on AI Behavioral Science
Deep Interest Network for Click-Through Rate Prediction
Fruit-fly Inspired Neighborhood Encoding for Classification
Gramfinder: Human and Machine Reading of Grammatical Descriptions of the Languages of the World
Exploiting unlabeled data in ensemble methods
Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval
Dual active feature and sample selection for graph classification
TGDataset: Collecting and Exploring the Largest Telegram Channels Dataset
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay
Collective Sensemaking via Social Sensors: Extracting, Profiling, Analyzing, and Predicting Real-world Events
Rethinking Fair Graph Neural Networks from Re-balancing
HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering
Induction of semantic classes from natural language text
Session-Aware Query Auto-completion using Extreme Multi-Label Ranking
QuesNet: A Unified Representation for Heterogeneous Test Questions
Sets2Sets: Learning from Sequential Sets with Neural Networks
PuzzleTensor: A Method-Agnostic Data Transformation for Compact Tensor Factorization
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
Towards Identifying Impacted Users in Cellular Services
Significance of Patterns in Data Visualisations
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning
Graphs over time: densification laws, shrinking diameters and possible explanations
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records
Towards Trajectory Anomaly Detection: a Fine-Grained and Noise-Resilient Framework
Shift-Robust Molecular Relational Learning with Causal Substructure
CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution
Machine Discovery Terminology
Specify Robust Causal Representation from Mixed Observations
Measuring spontaneous devaluations in user preferences
Automatic Application Identification from Billions of Files
Bootstrapping Recommendations at Chrome Web Store
Globally Optimized Matchmaking in Online Games
Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines
Proceedings of the KDD 2020 Workshop on Conversational Systems Towards Mainstream Adoption co-located with the 26TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2020), Virtual Workshop, August 24, 2020
LeMon: Automating Portrait Generation for Zero-Shot Story Visualization with Multi-Character Interactions
Privacy preserving association rule mining in vertically partitioned data
Robust Time Series Analysis and Applications: An Industrial Perspective
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep IP Protection
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination
PlanRanker: Towards Personalized Ranking of Train Transfer Plans
A probabilistic model for personalized tag prediction
Recurrent Halting Chain for Early Multi-label Classification
On dynamic data-driven selection of sensor streams
Learning Adaptive Reserve Price in Display Advertising
Searching time series with Hadoop in an electric power company
Topology Distillation for Recommender System
Felicitas: Federated Learning in Distributed Cross Device Collaborative Frameworks
Addressing and Visualizing Misalignments in Human Task-Solving Trajectories
Data mining criteria for tree-based regression and classification
Knowledge-Enhanced Domain Adaptation in Few-Shot Relation Classification
Closed Set Mining of Biological Data
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Robust Predictions with Ambiguous Time Delays: A Bootstrap Strategy
Block Model Guided Unsupervised Feature Selection
Graph Contrastive Learning with Progressive Augmentations
Face4Rag: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese
Linear space direct pattern sampling using coupling from the past
Score-based Generative Modeling for Conditional Independence Testing
Revisiting Graph Adversarial Attack: A Perspective of Budget Optimization
Bipartite Dynamic Representations for Abuse Detection
The contextual focused topic model
Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns
A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
Efficient Mining of the Most Significant Patterns with Permutation Testing
Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies
Stream-dashboard: a framework for mining, tracking and validating clusters in a data stream
User Consumption Intention Prediction in Meituan
Efficient Multi-Expert Tabular Language Model for Banking
TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams
Finding partial orders from unordered 0-1 data
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation
Can Who-Edits-What Predict Edit Survival?
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
Topology-monitorable Contrastive Learning on Dynamic Graphs
The DipEncoder: Enforcing Multimodality in Autoencoders
Diverse Rule Sets
Active semi-supervised learning using sampling theory for graph signals
Data-Driven Product Innovation
A case study: privacy preserving release of spatio-temporal density in paris
Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning
Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System
Rewiring Police Officer Training Networks to Reduce Forecasted Use of Force
MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics
Querying multiple sets of discovered rules
Mining program workflow from interleaved traces
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
MedLink: De-Identified Patient Health Record Linkage
Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios
Interestingness via What is Not Interesting
4th Workshop on End-End Customer Journey Optimization
Address standardization with latent semantic association
Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks
Mining in a mobile environment
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising
A Unified Online-Offline Framework for Co-Branding Campaign Recommendations
Out-of-core frequent pattern mining on a commodity PC
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Mining viewpoint patterns in image databases
How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary
A framework for robust discovery of entity synonyms
Stochastic processes and temporal data mining
Coupled behavior analysis for capturing coupling relationships in group-based market manipulations
Coresets for Minimum Enclosing Balls over Sliding Windows
PNP: Fast Path Ensemble Method for Movie Design
Hierarchical Projection Enhanced Multi-behavior Recommendation
Analyzing Online Transaction Networks with Network Motifs
Eigenspace-based anomaly detection in computer systems
A shapelet transform for time series classification
Transductive multi-label ensemble classification for protein function prediction
EventRank: a framework for ranking time-varying networks
The Effectiveness of Marketing Strategies in Social Media: Evidence from Promotional Events
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
Winner's Curse: Bias Estimation for Total Effects of Features in Online Controlled Experiments
3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
Boosting Deep Vector Quantization with Progressive Distribution Transformation
Dual Graph enhanced Embedding Neural Network for CTR Prediction
Class-distribution regularized consensus maximization for alleviating overfitting in model combination
Scalable discovery of hidden emails from large folders
Dynamic, real-time forecasting of online auctions via functional models
Metric Learning via Penalized Optimization
An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising
Causal Clustering for 1-Factor Measurement Models
CARL-G: Clustering-Accelerated Representation Learning on Graphs
Hadoop's Impact on the Future of Data Management
LiJAR: A System for Job Application Redistribution towards Efficient Career Marketplace
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
VOXSUP: a social engagement framework
On the Support Vector Effect in DNNs: Rethinking Data Selection and Attribution
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion
PaintingClass: interactive construction, visualization and exploration of decision trees
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching