yusuke1997/dblp-id-title huggingface dataset:
Bounding-Box Watermarking: Defense Against Model Extraction Attacks on Object Detectors
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling
Permutation Dependent Feature Mixing for Multivariate Time Series Forecasting
Unveiling the Potential of Tiny Machine Learning for Enhanced People Counting in UWB Radar Data
Adaptive Node Embedding Propagation for Semi-supervised Classification
Regression-Based Classification Methods and Their Comparisons with Desision Tree Algorithms
SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance
Unsupervised Modeling of Partially Observable Environments
CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification
Exploring Alternative Data for Nowcasting: A Case Study on US GDP Using Topic Attention
GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series
ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla
A Unified View of Abstract Visual Reasoning Problems
Importance Weighted Generative Networks
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations
SCCQL : A Constraint-Based Clustering System
Process Mining to Forecast the Future of Running Cases
Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects
GDM: Dual Mixup for Graph Classification with Limited Supervision
Difficulty Classification of Mountainbike Downhill Trails Utilizing Deep Neural Networks
SVR-based Modelling for the MoReBikeS Challenge: Analysis, Visualisation and Prediction
Combining Image Enhancement Techniques and Deep Learning for Shallow Water Benthic Marine Litter Detection
Segment and Combine Approach for Non-parametric Time-Series Classification
The Joy of Dressing Is an Art: Outfit Generation Using Self-attention Bi-LSTM
Curvature-Based Pooling Within Graph Neural Networks
Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies
CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-Level Anomaly Detection
Managing Interesting Rules in Sequence Mining
Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection
Bisiness Focused Evaluation Methods: A Case Study
Research on Online Digital Cultures - Community Extraction and Analysis by Markov and k-Means Clustering
Node Classification for Signed Social Networks Using Diffuse Interface Methods
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), Virtual Conference, September 13-17, 2021
SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation
Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery
Mobility Mining for Journey Planning in Rome
A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting
Low Cost Player Tracking in Field Hockey
Enhancing Multi-objective Optimisation Through Machine Learning-Supported Multiphysics Simulation
Learning Disentangled Representations of Satellite Image Time Series
Weighted Average Pointwise Mutual Information for Feature Selection in Text Categorization
Capturing Time-structures in Earth Observation Data with Gaussian Processes (abstract)
Active Evaluation of Ranking Functions Based on Graded Relevance
Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms
Machine Learning and Data Mining for Sports Analytics - 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers
Stock Trading Volume Prediction with Dual-Process Meta-Learning
Curriculum RL Meets Monte Carlo Planning: Optimization of a Real World Container Management Problem
Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles
An Aggregate Learning Approach for Interpretable Semi-supervised Population Prediction and Disaggregation Using Ancillary Data
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V
Direct One-to-All Lead Conversion on 12-Lead Electrocardiogram
Faster Way to Agony - Discovering Hierarchies in Directed Graphs
Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams
Unified Framework for Pre-trained Neural Network Compression via Decomposition and Optimized Rank Selection
Tunable Plug-In Rules with Reduced Posterior Certainty Loss in Imbalanced Datasets
A Career in Football: What is Behind an Outstanding Market Value?
Attention-based Deep Tropical Cyclone Rapid Intensification Prediction
Evaluation Procedures for Forecasting with Spatio-Temporal Data
Multi-Objective Actor-Critics for Real-Time Bidding in Display Advertising
MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-modal Contexts
FELIX: Automatic and Interpretable Feature Engineering Using LLMs
Data-Driven Exploration of Real-Time Geospatial Text Streams
SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer
A Framework for Evaluating the Smoothness of Data-Mining Results
Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets
Beyond Random Selection: A Perspective from Model Inversion in Personalized Federated Learning
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation
Buildings Occupancy Estimation: Preliminary Results Using Bluetooth Signals and Artificial Neural Networks
A Pairwise Label Ranking Method with Imprecise Scores and Partial Predictions
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
Unified Algorithm for Undirected Discovery of Execption Rules
Non-parametric Jensen-Shannon Divergence
Adversarial Robustness Curves
Multivariate Time-Series Anomaly Detection with Temporal Self-supervision and Graphs: Application to Vehicle Failure Prediction
Automated Discovery of Rules and Exeptions from Distributed Databases Using Aggregates
Off-Policy Differentiable Logic Reinforcement Learning
Multidimensional Network Analysis: Models, Analytics, Applications
ImbalancedLearningRegression - A Python Package to Tackle the Imbalanced Regression Problem
Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-trained Transformer Language Models
The Need for Low Bias Algorithms in Classification Learning from Large Data Sets
Online Linear Models for Edge Computing
Discovering Links among Social Networks
Stimulating Catastrophic Forgetting in Class-Wise Unlearning via UAP
Reading Customers Needs and Expectations with Analytics
Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies
Identifying the Components
On the Development of a European Tracker of Societal Issues and Economic Activities Using Alternative Data
An Efficient Shapley Value Computation for the Naive Bayes Classifier
Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model
Learning, Information Extraction and the Web
Continual Learning with Dual Regularizations
Learning Pretopological Spaces for Lexical Taxonomy Acquisition
Distribution-Free Learning of Bayesian Network Structure
Label Privacy Source Coding in Vertical Federated Learning
Assessing Nonlinear Granger Causality from Multivariate Time Series
Neural Topic Models for Hierarchical Topic Detection and Visualization
From Microscopy Images to Models of Cellular Processes
Generative Adversarial Networks for Failure Prediction
A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization
Estimating Potential Customers Anywhere and Anytime Based on Location-Based Social Networks
Iterative Model Refinement of Recommender MDPs Based on Expert Feedback
Mining Time Series Using Rough Sets - A Case Study
Structured Nonlinear Discriminant Analysis
A Procedure to Compute Prototypes for Data Mining in Non-structured Domains
Deep Conditional Transformation Models
PULSE: A Real Time System for Crowd Flow Prediction at Metropolitan Subway Stations
Regionally Additive Models: Explainable-by-Design Models Minimizing Feature Interactions
Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods
Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies
Agnostic Feature Selection
Active Learning for Support Vector Machines with Maximum Model Change
A Space Efficient Solution to the Frequent String Mining Problem for Many Databases
Financial Forecasting with Word Embeddings Extracted from News: A Preliminary Analysis
LMFD: Latent Monotonic Feature Discovery
Designing Data-Driven Solutions to Societal Problems: Challenges and Approaches
Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data
Task Prompt Vectors: Effective Initialization Through Multi-task Soft Prompt Transfer
Joint Geometric and Topological Analysis of Hierarchical Datasets
Latent Dirichlet Allocation for Automatic Document Categorization
Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness
Demystifying Graph Neural Network Explanations
Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation
Topic-to-Essay Generation with Comprehensive Knowledge Enhancement
CycleGAN Through the Lens of (Dynamical) Optimal Transport
Relational Learning of Disjunctive Patterns in Spatial Networks
Protein Sequence Pattern Mining with Constraints
Learning to Simulate on Sparse Trajectory Data
Advanced Analysis and Learning on Temporal Data - First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers
Online Clustering of High-Dimensional Trajectories under Concept Drift
Neural Article Pair Modeling for Wikipedia Sub-article Matching
Cross-Modal Video to Body-Joints Augmentation for Rehabilitation Exercise Quality Assessment
Audio-Based Speed Change Classification for Vehicles
GaKCo: A Fast Gapped k-mer String Kernel Using Counting
Estimating Dynamic Time Warping Distance Between Time Series with Missing Data
Visual Analytics for Extracting Trends from Spatio-temporal Data
Efficient Approximate Temporal Triangle Counting in Streaming with Predictions
Learning Disentangled Discrete Representations
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment
Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning
First Principle Models Based Dataset Generation for Multi-Target Regression and Multi-Label Classification Evaluation
On the Prediction Instability of Graph Neural Networks
Novel Fusion Methods for Pattern Recognition
Location Affiliation Networks: Bonding Social and Spatial Information
Solving a Hard Cutting Stock Problem by Machine Learning and Optimisation
Mining Generalized Multiple-Level Association Rules
Towards Interpretable Multi-task Learning Using Bilevel Programming
Generalization of Compositional Tasks with Logical Specification via Implicit Planning
Class-Incremental Learning via Knowledge Amalgamation
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation
AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data
CSI: Community-Level Social Influence Analysis
Machine Learning Prediction of Large Area Photovoltaic Energy Production
PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks
Comparing Deep RL and Traditional Financial Portfolio Methods
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
Automated Machine Learning for Satellite Data: Integrating Remote Sensing Pre-trained Models into AutoML Systems
Active and Semi-supervised Data Domain Description
Inconsistent Reasoning Attacks to Identify Weaknesses in Automatic Scientific Claim Verification Tools
The Curious Case of Convex Neural Networks
Synthesis of Standard 12-Lead ECG from Single-Lead ECG Using Shifted Diffusion Models
Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing Model
The Network-Untangling Problem: From Interactions to Activity Timelines
Forecasting the FIFA World Cup - Combining Result- and Goal-Based Team Ability Parameters
A Simple Model for Sequences of Relational State Descriptions
propagate: A Seed Propagation Framework to Compute Distance-Based Metrics on Very Large Graphs
Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity
Enforcing Vector Space Stability in Embeddings with Evolving Vocabularies: A Web-App Behavior Perspective
Content-Based Social Recommendation with Poisson Matrix Factorization
Early Detection of Fraud Storms in the Cloud
Privacy and Security Issues in Data Mining and Machine Learning - International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers
Universal Learning over Related Distributions and Adaptive Graph Transduction
Interpreting Dynamic Causal Model Policies
Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement
CUQ-GNN: Committee-Based Graph Uncertainty Quantification Using Posterior Networks
Classifying Protein Fingerprints
Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data
DivNoise: A Data Collection for Source Identification on Diverse Camera Sensors
MMDL-Based Data Augmentation with Domain Knowledge for Time Series Classification
An Attacker's View of Distance Preserving Maps for Privacy Preserving Data Mining
Predicting Outliers
Sampling Strategies for Targeting Rare Groups from a Bank Customer Database
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams
Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods
A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data
The PSP Approach for Mining Sequential Patterns
Learning to Detect Patterns of Crime
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning
Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection
Fairness by Explicability and Adversarial SHAP Learning
K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality Maintenance
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware
Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process
VCNet: A Self-explaining Model for Realistic Counterfactual Generation
Uplift Modeling Under Limited Supervision
MixerFlow: MLP-Mixer Meets Normalising Flows
Towards Process-Oriented Tool Support for Knowledge Discovery in Databases
Limits of XAI Application-Grounded Evaluation: An E-Sport Prediction Example
Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting
Few-Shot Microscopy Image Cell Segmentation
Towards Efficient Forward Propagation on Resource-Constrained Systems
Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series Forecasting
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters
Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses
Improved Naive Bayes for Extremely Skewed Misclassification Costs
Theoretical Analysis of Domain Adaptation with Optimal Transport
Interpretable Privacy with Optimizable Utility
Interactive Learning for Semantic Segmentation in Earth Observation
Scalable Information Flow Mining in Networks
Feature Extraction and Aggregation for Predicting the EURO 2016
Mixed Bregman Clustering with Approximation Guarantees
Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks
Visualizing the Feature Importance for Black Box Models
Support Vector Machines for Knowledge Discovery
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain
Collaborative Filtering based on Dynamic Community Detection
cuSLINK: Single-Linkage Agglomerative Clustering on the GPU
Identifying Trends in Feature Attributions During Training of Neural Networks
Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study
Unsupervised Task Clustering for Multi-task Reinforcement Learning
Bottom-Up Learning of Logic Programs for Information Extraction from Hypertext Documents
Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking
Topic Models with Sparse and Group-Sparsity Inducing Priors
Influence and Passivity in Social Media
Relevant Subsequence Detection with Sparse Dictionary Learning
Evaluating a Simple String Representation for Intra-day Foreign Exchange Prediction
RandomAD: A Random Kernel-Based Anomaly Detector for Time Series
Improved Regret Bounds for Online Kernel Selection Under Bandit Feedback
Comparing Machine Learning Methods for Predicting Seismic P-wave Velocity on Global Scale
Kantorovich Distances between Rankings with Applications to Rank Aggregation
Interpreting Dynamical Systems as Bayesian Reasoners
A Comparison of Neural Network Methods for Accurate Sentiment Analysis of Stock Market Tweets
Building Sparse Support Vector Machines for Multi-Instance Classification
SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency
Inferring Geographic Coincidence in Ephemeral Social Networks
Incorporating Domain Models into Bayesian Optimization for RL
Will This Paper Increase Your h-index?
Projective Pruning for Decoupling Weights
A Probabilistic Clustering-Projection Model for Discrete Data
Profiling Human Behavior Through Multidimensional Latent Factor Modeling
Discovering Patterns in Flows: A Privacy Preserving Approach with the ACSM Prototype
Linking Heterogeneous Data for Food Security Prediction
Learning Weakly Convex Sets in Metric Spaces
Occupational Fraud Detection Through Agent-Based Data Generation
Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets
Biological Sequence Data Mining
Topic Significance Ranking of LDA Generative Models
HyperUCB: Hyperparameter Optimization Using Contextual Bandits
Sibling Regression for Generalized Linear Models
Learning First Order Logic Time Series Classifiers: Rules and Boosting
An Algorithm to Find Overlapping Community Structure in Networks
Community-Based Semantic Subgroup Discovery
Learning Task Clusters via Sparsity Grouped Multitask Learning
Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 670k Labels on a Single Commodity GPU
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I
CGPM: Poverty Mapping Framework Based on Multi-Modal Geographic Knowledge Integration and Macroscopic Social Network Mining
Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting
Sequential Labeling with Online Deep Learning: Exploring Model Initialization
Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching
Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data
Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition
UnFOOT: Unsupervised Football Analytics Tool
Guiding InfoGAN with Semi-supervision
Mining Financial Risk Events from News and Assessing their Impact on Stocks
A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations
Protein Function Prediction Using Dependence Maximization
Sparse Relational Topic Models for Document Networks
Seq2VAR: Multivariate Time Series Representation with Relational Neural Networks and Linear Autoregressive Model
Detecting Fraudulent Personalities in Networks of Online Auctioneers
Adversarially Robust Decision Tree Relabeling
Inference and Validation of Networks
Fast Likelihood-Based Change Point Detection
Soft Labels Transfer with Discriminative Representations Learning for Unsupervised Domain Adaptation
Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors
Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, FSDM 2008, held at ECML-PKDD 2008, Antwerp, Belgium, September 15, 2008
A Social Media Tool for Domain-Specific Information Retrieval - A Case Study in Human Trafficking
Personalised Network Activity Feeds: Finding Needles in the Haystacks
Challenges of Urban Sensing
Hypergraph Spectra for Semi-supervised Feature Selection
Autonomous Data-Driven Decision-Making in Smart Electricity Markets
Exploration in Relational Worlds
Data Split Strategiesfor Evolving Predictive Models
CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection
Bayesian Confirmation Measures in Rule-Based Classification
Context-Specific Independence Mixture Modelling for Protein Families
Proper Model Selection with Significance Test
Structured Summarization of Academic Publications
Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation
VisualTreeSearch: Understanding Web Agent Test-Time Scaling
LLM GameLab: An Interactive Platform for Testing Large Language Models in Board Games
Multi-modal deep learning models for ocean wind speed estimation
A Generic Approach to Topic Models
Auto Semi-supervised Outlier Detection for Malicious Authentication Events
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-Guidance Fusion
Yes/No Question Answering in BioASQ 2019
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms
How Robust Is the Core of a Network?
Handling Time Changing Data with Adaptive Very Fast Decision Rules
Theory-Practice Interplay in Machine Learning - Emerging Theoretical Challenges
Deep Learning Architecture Search by Neuro-Cell-Based Evolution with Function-Preserving Mutations
Pure Exploration for Max-Quantile Bandits
Pass-Efficient Randomized SVD with Boosted Accuracy
Online Learning of Convex Sets on Graphs
Mining Meaning from Text by Harvesting Frequent and Diverse Semantic Itemsets
Optimization of Annealed Importance Sampling Hyperparameters
MACs: Multi-Attribute Co-clusters with High Correlation Information
Introducing the Attribution Stability Indicator: A Measure for Time Series XAI Attributions
Robust Visual Mining of Data with Error Information
An Interactive Learning Scenario for Real-time Environmental State Estimation Based on Heterogeneous and Dynamic Sensor Systems
Recognizing Non-small Cell Lung Cancer Subtypes by a Constraint-Based Causal Network from CT Images
From Self-data to Self-preferences: Towards Preference Elicitation in Personal Information Management Systems
Fast and Accurate Importance Weighting for Correcting Sample Bias
Hardware Execution Time Prediction for Neural Network Layers
Learning Impartial Policies for Sequential Counterfactual Explanations Using Deep Reinforcement Learning
An Effective Approach to Enhance Centroid Classifier for Text Categorization
Data Clustering: 50 Years Beyond K-means
Client-Friendly Classification over Random Hyperplane Hashes
Lattice Climber Attack: Adversarial Attacks for Randomized Mixtures of Classifiers
Stock Price Time Series Forecasting Using Dynamic Graph Neural Networks and Attention Mechanism in Recurrent Neural Networks
A Unified Framework for Probabilistic Component Analysis
Asynchronous Federated Learning for Geospatial Applications
Fast and Memory-Efficient Discovery of the Top-k Relevant Subgroups in a Reduced Candidate Space
Context Delegation for Context-Based Access Control
Association Rule Mining Following the Web Search Paradigm
Differentially Private User Data Perturbation with Multi-level Privacy Controls
Finding Structure in Dynamic Networks (and What It Means for Zebras)
Methods for the Efficient Discovery of Large Item-Indexable Sequential Patterns
Improved Algorithms for Univariate Discretization of Continuous Features