yusuke1997/dblp-id-title huggingface dataset:
Make It or Break It: Manipulating Robustness in Large Networks
Towards Community Detection in Locally Heterogeneous Networks
Finding Subgroups having Several Descriptions: Algorithms for Redescription Mining
Disentangled Dynamic Graph Deep Generation
SPID4.7: Discretization Using Successive Pseudo Deletion at Maximum Information Gain Boundary Points
Visualizing Variable-Length Time Series Motifs
Gaussian Processes for Active Data Mining of Spatial Aggregates
Region-Based Active Learning with Hierarchical and Adaptive Region Construction
Equitable Allocation of Healthcare Resources with Fair Survival Models
Modeling Clinical Time Series Using Gaussian Process Sequences
Diversified Trajectory Pattern Ranking in Geo-tagged Social Media
Spectral Embedding of Signed Networks
Maximizing diversity over clustered data
H-Fuse: Efficient Fusion of Aggregated Historical Data
Symmetric Statistical Translation Models for Automatic Image Annotation
Variational Learning for Noisy-OR Component Analysis
Topic Modeling based on Keywords and Context
META: Multi-resolution Framework for Event Summarization
On Variable Constraints in Privacy Preserving Data Mining
The Application of Text Mining Software to Examine Coded Information
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Rank Selection for Non-negative Matrix Factorization with Normalized Maximum Likelihood Coding
Blue Sky: Reducing Performance Gap between Commercial and Open-Source LLMs
Randomization Techniques for Graphs
Label Shift Estimation With Incremental Prior Update
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks
Adaptive Concept Drift Detection
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
Local Learning for Mining Outlier Subgraphs from Network Datasets
Toward Semantic XML Clustering
Discretized Spatio-Temporal Scan Window
It's PageRank All The Way Down: Simplifying Deep Graph Networks
Estimating False Negatives for Classification Problems with Cluster Structure
Co-selection of Features and Instances for Unsupervised Rare Category Analysis
Selection of Negative Samples for One-class Matrix Factorization
ALE: Additive Latent Effect Models for Grade Prediction
Segmented Regression Estimators for Massive Data Sets
The Best Nurturers in Computer Science Research
StarClass: Interactive Visual Classification using Star Coordinates
Memory-efficient Query-driven Community Detection with Application to Complex Disease Associations
Submodular Maximization via Taylor Series Approximation
Faster Stochastic Second Order Method for Large-Scale Machine Learning Models
Why the Information Explosion Can Be Bad for Data Mining, and How Data Fusion Provides a Way Out
Microscopic Social Influence
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks
Selective Transfer Learning for Cross Domain Recommendation
DPGS: Degree-Preserving Graph Summarization
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence
Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces
TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling
Reinforced EM Algorithm for Clustering with Gaussian Mixture Models
Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the k -Core
Mining Top- k Quantile-based Cohesive Sequential Patterns
Efficient Kernel Approximation for Large-Scale Support Vector Machine Classification
Clustering with Domain-Specific Usefulness Scores
Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective
Mining Top-K Itemsets over a Sliding Window Based on Zipfian Distribution
Generalized Outlier Detection with Flexible Kernel Density Estimates
Semi-Supervised Learning Based on Semiparametric Regularization
Trajectory Anomaly Detection with By-Design Complementary Detectors
Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine
Diversity-Based Weighting Schemes for Clustering Ensembles
Probabilistic Multi-State Split-Merge Algorithm for Coupling Parameter Estimates
A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network
A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
Efficiently Mining Closed Subsequences with Gap Constraints
Pushing Feature Selection Ahead Of Join
What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships
Absenteeism Detection in Social Media
HCDF: A Hybrid Community Discovery Framework
K-Nearest Neighbor Search and Outlier Detection via Minimax Distances
Identifying Multi-instance Outliers
Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy
Accelerated Experimental Design for Pairwise Comparisons
Using Simulated Pseudo Data To Speed Up Statistical Predictive Modeling From Massive Data Sets
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources
Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA
Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets
On Randomness Measures for Social Networks
Kaleido: Network Traffic Attribution using Multifaceted Footprinting
Stochastic Co-clustering for Document-Term Data
PoClustering: Lossless Clustering of Dissimilarity Data
Simplex Distributions for Embedding Data Matrices over Time
A novel reject option applied to sleep stage scoring
Finding Links and Initiators: A Graph-Reconstruction Problem
A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data
Proceedings of the 2005 SIAM International Conference on Data Mining, SDM 2005, Newport Beach, CA, USA, April 21-23, 2005
Constrained Co-clustering of Gene Expression Data
Global Linear Neighborhoods for Efficient Label Propagation
Knowledge guided diagnosis prediction via graph spatial-temporal network
SSNN: Sentiment Shift Neural Network
On the Persistence of Higher-Order Interactions in Real-World Hypergraphs
Constructing Training Sets for Outlier Detection
Pinch Ratio Clustering from a Topologically Intrinsic Lexicographic Ordering
AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation
Elastic bands across the path: A new framework and method to lower bound DTW
Entropy Weight Allocation: Positive-unlabeled Learning via Optimal Transport
Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes
A Sequential Dual Method for Structural SVMs
Robust, Complete, and Efficient Correlation Clustering
Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning
Clustering in the Presence of Bridge-Nodes
Exact Discovery of Time Series Motifs
Learning from Multi-User Multi-Attribute Annotations
Bandits for Taxonomies: A Model-based Approach
Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making
IBSM: Interval-Based Sequence Matching
MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction
Segmented nestedness in binary data
Modeling Spatial Dependencies for Mining Geospatial Data
Learning to Refine Ontology for a New Web Site Using a Bayesian Approach
Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness
Legislative Prediction via Random Walks over a Heterogeneous Graph
Active Learning of Constraints for Semi-supervised Text Clustering
Local Relevance Weighted Maximum Margin Criterion for Text Classification
Finding a Haystack in Haystacks - Simultaneous Identification of Concepts in Large Bio-Medical Corpora
FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models
On the Necessary and Sufficient Conditions of a Meaningful Distance Function for High Dimensional Data Space
Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis
Transductive De-Noising and Dimensionality Reduction using Total Bregman Regression
AC-Framework for Privacy-Preserving Collaboration
Nonparametric Density Estimation: Toward Computational Tractability
On Segment-Based Stream Modeling and Its Applications
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs
Privacy-Preserving Classification of Customer Data without Loss of Accuracy
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
DimReg: Embedding Dimension Search via Regularization for Recommender Systems
Masked Gradient-Based Causal Structure Learning
SPMM: A Soft Piecewise Mapping Model for Bilingual Lexicon Induction
Learning Complex Rare Categories with Dual Heterogeneity
A Deflation Method for Structured Probabilistic PCA
The Analysis of Asthma and Exposure Data using Geographic Information Systems and Data Mining Information
REGE: A Method for Incorporating Uncertainty in Graph Embeddings
A Strong Node Classification Baseline for Temporal Graphs
Selective Sampling on Probabilistic Data
Sparse Subspace Clustering via Group Sparse Coding
Mining Compressing Sequential Patterns
VEDAS: A Mobile and Distributed Data Stream Mining System for Real-Time Vehicle Monitoring
k -Means for Streaming and Distributed Big Sparse Data
A Robust Decision Tree Algorithm for Imbalanced Data Sets
POTION : Optimizing Graph Structure for Targeted Diffusion
Efficient Local Flexible Nearest Neighbor Classification
ADMM for Training Sparse Structural SVMs with Augmented ℓ 1 Regularizers
Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification
Flexibly Mining Better Subgroups
Density-Based Clustering over an Evolving Data Stream with Noise
New Approximation Algorithms for Forest Closeness Centrality - for Individual Vertices and Vertex Groups
Interpreting and Unifying Outlier Scores
A Hierarchical Probabilistic Model for Low Sample Rate Home-Use Energy Disaggregation
Regularized Parametric Regression for High-dimensional Survival Analysis
On Influential Node Discovery in Dynamic Social Networks
Event Discovery in Time Series
Ada-VAD: Domain Adaptable Video Anomaly Detection
Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting
Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
Multi-Instance Mixture Models
Light POI-Guided Conversational Recommender System based on Adaptive Space
Textbook Enhanced Student Learning Outcome Prediction
Multi-way Clustering on Relation Graphs
Learning Graph Representation via Frequent Subgraphs
Uplift Modeling with Multiple Treatments and General Response Types
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data
Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures
DTEC: Distance Transformation Based Early Time Series Classification
Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019, Calgary, Alberta, Canada, May 2-4, 2019
Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients
Learning from Incomplete Ratings Using Non-negative Matrix Factorization
Cluster Ensemble Selection
Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation
Automatic Parameter Selection for Non-Redundant Clustering
Differentially Private Rank Aggregation
ML4C: Seeing Causality Through Latent Vicinity
A Guide to Selecting a Network Similarity Method
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs
Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014
Recognizing Cuneiform Signs Using Graph Based Methods
Multi-Task Learning with Prior Information
Edge Replacement Grammars : A Formal Language Approach for Generating Graphs
LSCP: Locally Selective Combination in Parallel Outlier Ensembles
Intrinsic Dimensionality Estimation within Tight Localities
Content-Aware Successive Point-of-Interest Recommendation
Mining the Detector Responses of a Conducting Polymer Composite-Based Electronic Nose
Continuously Generalized Ordinal Regression for Linear and Deep Models
Joint Learning of Representation and Structure for Sparse Regression on Graphs
On the Optimal Clustering of Sequential Data
Deep Multi-sphere Support Vector Data Description
Mining Multi-Label Data Streams Using Ensemble-Based Active Learning
Data mining the functional architecture of the brain's circuitry
Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture
A Bayesian Approach for Accurate Classification-Based Aggregates
Visually Mining through Cluster Hierarchies
Recurrent Chinese Restaurant Process with a Duration-based Discount for Event Identification from Twitter
Convex Optimization for Binary Classifier Aggregation in Multiclass Problems
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
On Scaling Up Balanced Clustering Algorithms
HARMONY: Efficiently Mining the Best Rules for Classification
Exploiting Hierarchical Domain Values in Classification Learning
Probabilistic Joint Feature Selection for Multi-task Learning
CP Tensor Decomposition with Cannot-Link Intermode Constraints
On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning
Community Detection for Emerging Networks
Exploiting Semantic Constraints for Estimating Supersenses with CRFs
Dual-disentangled Deep Multiple Clustering
Learning Markov Network Structure using Few Independence Tests
Detecting Influence Relationships from Graphs
Condensing Temporal Networks using Propagation
Cost-sensitive Classifier Selection when there is Additional Cost Information
Identifying Bundles of Product Options using Mutual Information Clustering
A Stagewise Least Square Loss Function for Classification
Spectral and Semidefinite Relaxation of the CLUHSIC Algorithm
Noise Robust Classification Based on Spread Spectrum
CDSRNP: Cross-Domain Sequential Recommendation via Neural Process
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data
Two-variable Dual Coordinate Descent Methods for Linear SVM with/without the Bias Term
Fast Single-Pair SimRank Computation
On finding the maximum edge biclique in a bipartite graph: a subspace clustering approach
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
Enhancing Communities of Interest Using Bayesian Stochastic Blockmodels
Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction
Predicting Item Adoption Using Social Correlation
Learning Compressive Sensing Models for Big Spatio-Temporal Data
Shapelet Ensemble for Multi-dimensional Time Series
Rare Class Detection in Networks
Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents
Foundation Models for Spatiotemporal Tasks in the Physical World
Randomization of real-valued matrices for assessing the significance of data mining results
A Confidence-Based Approach for Balancing Fairness and Accuracy
Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems
Clustering Categorical Data Using the Correlated-Force Ensemble
The Multi-Set Stream Clustering Problem
Discovery of Co-evoluting Spatial Co-located Event Sets
Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach
Proceedings of the Seventh SIAM International Conference on Data Mining, April 26-28, 2007, Minneapolis, Minnesota, USA
Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning
A New Perspective on Convex Relaxations of Sparse SVM
On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering
One Step Evolutionary Mining of Context Sensitive Associations and Web Navigation Patterns
Proceedings of the First SIAM International Conference on Data Mining, SDM 2001, Chicago, IL, USA, April 5-7, 2001
Constraint-Focused Training for Multistate Survival Analysis with Neural Networks
Active Class Discovery and Learning for Networked Data
SUSAN: The Structural Similarity Random Walk Kernel
Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach
Predict Land Covers with Transition Modeling and Incremental Learning
A Top-Down Method for Mining Most-Specific Frequent Patterns in Biological Sequences
Semi-Supervised Clustering via Matrix Factorization
Harmonium Models for Semantic Video Representation and Classification
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis
Joint Author Sentiment Topic Model
Profiling Protein Families from Partially Aligned Sequences
Butterfly Mixing: Accelerating Incremental-Update Algorithms on Clusters
Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time
A General-Purpose Transferable Predictor for Neural Architecture Search
Personalized Federated Learning with Contextual Modulation and Meta-Learning
Spatially-Aware Comparison and Consensus for Clusterings
Submodularity in Team Formation Problem
Automatic Textual Document Categorization Using Multiple Similarity-Based Models
Patterns of Cascading Behavior in Large Blog Graphs
Multi-View Spectral Clustering for Graphs with Multiple View Structures
Dual Coordinate-Descent Methods for Linear One-Class SVM and SVDD
Dimension reduction based on centroids and least squares for efficient processing of text data
A Nonparametric Mixture Model for Topic Modeling over Time
A General Model for Multiple View Unsupervised Learning
Recovering Missing Labels of Crowdsourcing Workers
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples
Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation
A RELIEF Based Feature Extraction Algorithm
Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization
Finding the Sweet Spot: Batch Selection for One-Class Active Learning
Semi-supervised learning for structured regression on partially observed attributed graphs
StarRec: A Hypergraph-based Framework with Star-Expansion for Multi-Behavior Recommendation
Less is More: Building Selective Anomaly Ensembles with Application to Event Detection in Temporal Graphs
Heterogeneous Graph Neural Networks for Query-focused Summarization
Modeling the Diffusion of Preferences on Social Networks
DELTACON: A Principled Massive-Graph Similarity Function
Optimal Smooth Approximation for Quantile Matrix Factorization
GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering
Subgraph Centralization: A Necessary Step for Graph Anomaly Detection
Exploiting Monotonicity Constraints in Active Learning for Ordinal Classification
Chernoff Dimensionality Reduction-Where Fisher Meets FKT
Feature Selection with the logRatio Kernel
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
Find the dimension that counts: Fast dimension estimation and Krylov PCA
Subgraph Search in Large Graphs with Result Diversification
Active Teaching for Inductive Learners
Uncovering Multiple Diffusion Networks Using the First-Hand Sharing Pattern
Community-aware network sparsification
Diverse and Experienced Group Discovery via Hypergraph Clustering
Predictive Learning in the Presence of Heterogeneity and Limited Training Data
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions
Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem
Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices
Subtree Replacement in Decision Tree Simplification
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks
Efficient Markov Network Structure Discovery using Independence Tests
Identification and Uses of Deep Learning Backbones via Pattern Mining
A Temporal Graphlet Kernel For Classifying Dissemination in Evolving Networks
Multi-Layered Network Embedding
Causal Inference on Event Sequences
Path-based Attribute-aware Representation Learning for Relation Prediction
BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks
CPTAM: Constituency Parse Tree Aggregation Method
A polynomial expansion line search for large-scale unconstrained minimization of smooth L 2 -regularized loss functions, with implementation in Apache Spark
OnlineCM: Real-time Consensus Classification with Missing Values
Efficient Document Clustering via Online Nonnegative Matrix Factorizations
Opinion Maximization in Social Networks
Grammar Mining
Efficient Allocation of Marketing Resources using Dynamic Programming
Unsupervised Disaggregation of Low Frequency Power Measurements
Outlier Detection over Distributed Trajectory Streams
Using a Random Forest to Inspire a Neural Network and Improving on It
Revenue Maximization on the Multi-grade Product
Efficiently Discovering Unexpected Pattern-Co-Occurrences
Ranking in Heterogeneous Networks with Geo-Location Information
IREP++, A Faster Rule Learning Algorithm
A Probabilistic Hough Transform for Opportunistic Crowd-sensing of Moving Traffic Obstacles
On Dynamic Link Inference in Heterogeneous Networks
Spatial Weighted Outlier Detection
Many-to-many Correspondences between Partitions: Introducing a Cut-based Approach
A Non-sequential Approach to Deep User Interest Model for CTR Prediction
Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization
ConLearn: Contextual-knowledge-aware Concept Prerequisite Relation Learning with Graph Neural Network
Localized Support Vector Machine and Its Efficient Algorithm
Stratification Based Hierarchical Clustering Over a Deep Web Data Source
PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Counts
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning
GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks
What's Your Next Move: User Activity Prediction in Location-based Social Networks
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics
A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery
Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency
Feature Selection with Linked Data in Social Media
RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising
Identifying Unsafe Routes for Network-Based Trajectory Privacy
Active Ordering of Interactive Prediction Tasks
Clustering with Bregman Divergences
Mining Interesting Patterns from Very High Dimensional Data: A Top-Down Row Enumeration Approach
FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling
Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence Data
A General Framework for Adaptive Anomaly Detection with Evolving Connectionist Systems
FairPlay: Fraud and Malware Detection in Google Play
Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model
Domain Disentangled Meta-Learning
GraSS: Graph Structure Summarization
Feature Mining Paradigms for Scientific Data
Text Categorization with All Substring Features
Statistical Learning Theory Approach for Data Classification with ℓ -diversity
Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing
Group AdaBoost with Fairness Constraint
PICC Counting: Who Needs Joins When You Can Propagate Efficiently?
Fractional Immunization in Networks