yusuke1997/dblp-id-title huggingface dataset:
Trigger Detection for the sPHENIX Experiment via Bipartite Graph Networks with Set Transformer
Exploring Successful Team Tactics in Soccer Tracking Data
Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs
Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment
Enriching Relational Learning with Fuzzy Predicates
A Deep Cut Into Split Federated Self-Supervised Learning
Comparison Between Co-training and Self-training for Single-target Regression in Data Streams using AMRules
Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification
Solving Prediction Games with Parallel Batch Gradient Descent
Functional MRI Analysis with Sparse Models
Co-supervised Pre-training of Pocket and Ligand
Using Background Knowledge as a Bias to Control the Rule Discovery Process
Enhancing Detection of Leishmania spp. Amastigotes in Canine Lymph Node Smear Images: Evaluating the Effectiveness of Synthetic Data in Augmenting Existing Datasets
ART: Actually Robust Training
AutoML to Generalize Strong Gravitational Lens Modeling Problem
Applying Objective Interestingness Measures in Data Mining Systems
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Tiler: Software for Human-Guided Data Exploration
Aggressive Exploration in Offline Reinforcement Learning for Better Recommendations
Fashion Outfit Generation for E-Commerce
Interpretable and Fair Mechanisms for Abstaining Classifiers
Arbitrated Ensemble for Time Series Forecasting
On the Two Sides of Redundancy in Graph Neural Networks
Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured Topologies
Syntactic Structural Kernels for Natural Language Interfaces to Databases
Mining Tree Patterns with Partially Injective Homomorphisms
Firms Default Prediction with Machine Learning
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 2020), Virtual Conference, September 14-18, 2020
Do You Know My Emotion? Emotion-Aware Strategy Recognition Towards a Persuasive Dialogue System
Fostering Responsibility in Email Marketing: A Contextual Restless Bandit Framework
Discovering Differences in Patients with Uveitis Through Typical Testors by Class
Continuous Learning of Ordinal User Preferences on Wearable Devices
Negative Prototypes Guided Contrastive Learning for Weakly Supervised Object Detection
Optimizing and Tuning Fairness in Machine Learning: An Augmented Lagrangian Method with a Performance Budget
A Concise Representation of Association Rules Using Minimal Predictive Rules
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks
A Fuzzy Beam-Search Rule Induction Algorithm
MRF-UNets: Searching UNet with Markov Random Fields
Pair-Based Object-Driven Action Rules
Secure Top-k Subgroup Discovery
Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels
Learning Compact and Effective Distance Metrics with Diversity Regularization
LTCR: Long Temporal Characteristic Reconstruction for Segmentation in Contrastive Learning
Multi-label Ensemble Learning
Influence Maximization-Based Event Organization on Social Networks
Influence of minority class instance types on SMOTE imbalanced data oversampling
LLaMA-Annotate - Visualizing Token-Level Confidences for LLMs
Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks
Indirect Association: Mining Higher Order Dependencies in Data
New Frontiers in Mining Complex Patterns - 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers
Enhancing Graph Transformers with SNNs and Mutual Information
An Optimized NL2SQL System for Enterprise Data Mart
Using Machine Learning for Labour Market Intelligence
Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches
Benchmarking GNNs with GenCAT Workbench
Bayesian Network Classifiers with Reduced Precision Parameters
Prior Bilinear-Based Models for Knowledge Graph Completion
Topology-Aware Hierarchical Graph Diffusion Model for Molecular Graph Generation
Tag Recommendations Based on Tracking Social Bookmarking Systems
Small-Vote Sample Selection for Label-Noise Learning
Protein-Centered Biological Networks by Automatic Caption Analysis
GIKT: A Graph-Based Interaction Model for Knowledge Tracing
Kernel Principal Geodesic Analysis
Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network
Deep Learning from Spatial Relations for Soccer Pass Prediction
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III
Learning Language Models from Images with ReGLL
Wearable-Based Parkinson's Disease Severity Monitoring Using Deep Learning
Discovering Urban Travel Demands Through Dynamic Zone Correlation in Location-Based Social Networks
Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection
Cloud-Based Real-Time Molecular Screening Platform with MolFormer
Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case
Semi-Supervised Multi-Task Regression
Better Capturing Interactions Between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling
Evaluating Custom-Precision Operator Support in MLIR for ARM CPUs
A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts
A Knowledge-Based Digital Dashboard for Higher Learning Institutions
ReinBo: Machine Learning Pipeline Conditional Hierarchy Search and Configuration with Bayesian Optimization Embedded Reinforcement Learning
Advanced Analytics and Learning on Temporal Data - 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers
Prediction of Frequent Out-Of-Hours' Medical Use
Efficient AUC Optimization for Classification
A Tolerance Rough Set Approach to Clustering Web Search Results
Analyzing Time-Decay Effects of Mediating-Objects in Creating Trust-Links
Learning MDP Action Models Via Discrete Mixture Trees
Heart Rate Modelling as a Potential Physical Fitness Assessment for Runners and Cyclists
Unsupervised Deep Cross-Language Entity Alignment
Interactive Visualization of Counterfactual Explanations for Tabular Data
Knowledge Elicitation Using Deep Metric Learning and Psychometric Testing
The Evolution of Social Relationships and Strategies Across the Lifespan
Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions
GMRF Estimation under Topological and Spectral Constraints
Bias vs Bias Dawn of Justice: A Fair Fight in Recommendation Systems
Financial Distress Model Prediction Using Machine Learning: A Case Study on Indonesia's Consumers Cyclical Companies
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic
Neuro-fuzzy Data Mining for Target Group Selection in Retail Banking
A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank
Direct Evolutionary Optimization of Variational Autoencoders with Binary Latents
Cost-Sensitive Learning Based on Bregman Divergences
Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains
How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing Methods
Discovering Temporal Bisociations for Linking Concepts over Time
Deep F-Measure Maximization in Multi-label Classification: A Comparative Study
BotTrans: A Multi-source Graph Domain Adaptation Approach for Social Bot Detection
Large Scale Optimization with Proximal Stochastic Newton-Type Gradient Descent
Utilizing Structure-Rich Features to Improve Clustering
A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient
Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection
Multi-Plant Photovoltaic Energy Forecasting Challenge with Regression Tree Ensembles and Hourly Average Forecasts
Quantized Dynamics Models for Hardware-Efficient Control and Planning in Model-Based RL
Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract)
Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data
Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning
Improving Relational Classification Using Link Prediction Techniques
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection
Exploratory Subgroup Analytics on Ubiquitous Data
Towards Personalized Educational Materials: Mapping Student Knowledge Through Natural Language Processing
SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting
Image Hub Explorer: Evaluating Representations and Metrics for Content-Based Image Retrieval and Object Recognition
techniques and Applications of KDD (Abstract)
HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues
Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality
A Hybrid Knowledge Discovery Approach for Mining Predictive Biomarkers in Metabolomic Data
Boosting Patient Representation Learning via Graph Contrastive Learning
Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding
Interpretable and Reliable Rule Classification Based on Conformal Prediction
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest
Online Multiagent Learning against Memory Bounded Adversaries
Online Knowledge-Based Support Vector Machines
A Bayesian Network Model for Interesting Itemsets
Continuous Time Bayesian Networks for Host Level Network Intrusion Detection
Concentration Free Outlier Detection
The Bures Metric for Generative Adversarial Networks
Constrained Laplacian Score for Semi-supervised Feature Selection
Self-Adaptive Ensemble Classifier for Handling Complex Concept Drift
Regularization for Uplift Regression
An Empirical Investigation of Minimum Probability Flow Learning Under Different Connectivity Patterns
Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation
SVM Classification Using Sequences of Phonemes and Syllables
Monitoring Production Equipment in Remote Locations
Mining Frequent Partite Episodes with Partwise Constraints
Enhancing LLM's Reliability by Iterative Verification Attributions with Keyword Fronting
Community Distribution Outlier Detection in Heterogeneous Information Networks
Analyzing and Storing Network Intrusion Detection Data Using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings
A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning
Evaluation of Summarization Schemes for Learning in Streams
Autonomous Driving Validation with Model-Based Dictionary Clustering
A Deep Reinforcement Learning Framework for Optimal Trade Execution
Shrinkage Estimators for Uplift Regression
A Random Method for Quantifying Changing Distributions in Data Streams
Distinguishing between Roles of Football Players in Play-by-play Match Event Data
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments
Expectation Maximization for Average Reward Decentralized POMDPs
How to find a good image-text embedding for remote sensing visual question answering?
The Boolean Column and Column-Row Matrix Decompositions
Listener-aware Music Search and Recommendation
Applying Machine Learning Models on Metrology Data for Predicting Device Electrical Performance
Classification Algorithms Based on Linear Combinations of Features
Bringing a Ruler Into the Black Box: Uncovering Feature Impact from Individual Conditional Expectation Plots
Learning from Label Proportions by Optimizing Cluster Model Selection
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
A Convex Method for Locating Regions of Interest with Multi-instance Learning
Predicting Defective Engines using Convolutional Neural Networks on Temporal Vibration Signals
Statistical Relational Learning: An Inductive Logic Programming Perspective
Learning Multiple Tasks with Boosted Decision Trees
Constrained Multiagent Reinforcement Learning for Large Agent Population
Is My Neural Net Driven by the MDL Principle?
Improving Pricing Recommendations Using Nearest Neighbors Retrieval Via Contrastive Learning and Hard Negatives Mining
Efficient Mining of High Confidience Association Rules without Support Thresholds
Learning from Constraints
Distributed Subgroup Mining
Qualitative Spatial Reasoning for Soccer Pass Prediction
Communication-Efficient Distributed Online Learning with Kernels
Detection and Semantic Description of Changes in Earth Observation Time Series Data
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients
Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings
Separability Index in Supervised Learning
Online $\textrm{L}^{\natural }$-Convex Minimization
Machine Learning on Linked Data, a Position Paper
Robust Classification of High-Dimensional Data Using Data-Adaptive Energy Distance
Distributional Clauses Particle Filter
The MASH Project
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Peculiarity Oriented Multi-database Mining
Robustness of Fairness: An Experimental Analysis
Unjustified Classification Regions and Counterfactual Explanations in Machine Learning
MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes
Understanding Difficulty-Based Sample Weighting with a Universal Difficulty Measure
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part V
Self-SLAM: A Self-supervised Learning Based Annotation Method to Reduce Labeling Overhead
Multi-target Classification: Methodology and Practical Case Studies
On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
Real-Time News Recommender System
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization
Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
Tactical Analyses in Professional Tennis
AKGNet: Attribute Knowledge Guided Unsupervised Lung-Infected Area Segmentation
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers, Part II
Mining Data for Financial Applications - 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers
Towards Mining Generalized Patterns from RDF Data and a Domain Ontology
Learning Disentangled Representations with the Wasserstein Autoencoder
Algorithm for Matching Sets of Time Series
Support Vectors for Reinforcement Learning
Content-based and Graph-based Tag Suggestion
UAPD: Predicting Urban Anomalies from Spatial-Temporal Data
BeatLex: Summarizing and Forecasting Time Series with Patterns
Image-to-Markup Generation via Paired Adversarial Learning
Less Is More: Rejecting Unreliable Reviews for Product Question Answering
Euclidean Distances, Soft and Spectral Clustering on Weighted Graphs
Lattice-Based Views over SPARQL Query Results
Explaining Interval Sequences by Randomization
ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach
A Soft Affiliation Graph Model for Scalable Overlapping Community Detection
Automated Integration of Genomic Metadata with Sequence-to-Sequence Models
Scalable Density-Based Distributed Clustering
Machine Learning and Data Mining for Sports Analytics - 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings
Online Manifold Regularization: A New Learning Setting and Empirical Study
Nearly Exact Mining of Frequent Trees in Large Networks
Robust Feature Selection Using Ensemble Feature Selection Techniques
Towards Interpretable Adversarial Examples via Sparse Adversarial Attack
Compressed Federated Reinforcement Learning with a Generative Model
KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation
Unsupervised Inference of Auditory Attention from Biosensors
Fast, Effective Molecular Feature Mining by Local Optimization
MORD: Multi-class Classifier for Ordinal Regression
A Multi-Scale Approach to Data-Driven Mass Migration Analysis
Data-Driven Approaches for Smart Parking
Failure Detection of an Air Production Unit in Operational Context
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More
CULC-Net: A Recipe for Tailored Creative Selection in Online Advertising
Entityclassifier.eu: Real-Time Classification of Entities in Text with Wikipedia
PP-PLL: Probability Propagation for Partial Label Learning
Forecasting Error Pattern-Based Anomaly Detection in Multivariate Time Series
Regret Bounds for Reinforcement Learning with Policy Advice
Scalable Blocking for Very Large Databases
A general framework for building machine learning models for pricing american index options with no-arbitrage and its limitation
Adapting Decision DAGs for Multipartite Ranking
Measuring Football Players' On-the-Ball Contributions from Passes During Games
Cubism: Co-balanced Mixup for Unsupervised Volcano-Seismic Knowledge Transfer
Securing Cyber-Physical Systems: Physics-Enhanced Adversarial Learning for Autonomous Platoons
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning
RLTS: Robust Learning Time-Series Shapelets
Counterfactual Propagation for Semi-supervised Individual Treatment Effect Estimation
Predicting Drug Treatment for Hospitalized Patients with Heart Failure
The Elliptical Basis Function Data Descriptor (EBFDD) Network: A One-Class Classification Approach to Anomaly Detection
Proceedings of the 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015) co-located with the 26th European Conference on Machine Learning / 19th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, September 7, 2015
DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters
ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud
Unsupervised Discretization Using Tree-Based Density Estimation
Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, PAP 2017, Held in Conjunction with ECML PKDD 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers
Generalization Lattices
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels
Learning Locally Interpretable Rule Ensemble
Pattern Based Browsing in Document Collections
Scalable Bid Landscape Forecasting in Real-Time Bidding
Laplacian Hamiltonian Monte Carlo
Finding Transport Proteins in a General Protein Database
Real-Time Outlier Detection in Time Series Data of Water Sensors
Influence Spread in Large-Scale Social Networks - A Belief Propagation Approach
Network Flow for Collaborative Ranking
Cad2graph: Automated Extraction of Spatial Graphs from Architectural Drawings
PYTHIA: Employing Lexical and Semantic Features for Sentiment Analysis
Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling
Advancing Fraud Detection Systems Through Online Learning
Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data
Hashing for Fast Pattern Set Selection
Logistics, Graphs, and Transformers: Towards Improving Travel Time Estimation
GNNSampler: Bridging the Gap Between Sampling Algorithms of GNN and Hardware
Massively Distributed Clustering via Dirichlet Process Mixture
On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0)
A New Scheme on Privacy Preserving Association Rule Mining
Domestic Hot Water Forecasting for Individual Housing with Deep Learning
Aggregation and Association in Cross Tables
χiplot: Web-First Visualisation Platform for Multidimensional Data
Tag Recommendation Using Probabilistic Topic Models
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy - 5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers
Frequent Itemsets Mining in Data Streams Using Reconfigurable Hardware
Unsupervised Ontology- and Taxonomy Construction Through Hyperbolic Relational Domains and Ranges
Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis
On Projectivity in Markov Logic Networks
Learning Strength and Weakness Rules of Cricket Players Using Association Rule Mining
Discovering Skylines of Subgroup Sets
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VI
Adapting Classifiers to Changing Class Priors During Deployment
Data Reduction Using Multiple Models Integration
The Minimum Transfer Cost Principle for Model-Order Selection
A Pipeline for Functional and Visual Analytics of Microbial Genetic Networks
Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease
A Relational Unsupervised Approach to Author Identification
Branty: A Social Media Ranking Tool for Brands
Post Wildfire Burnt-up Detection Using Siamese UNet
Recent Advances in Mining Time Series Data
Fast Generation of Best Interval Patterns for Nonmonotonic Constraints
Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call Center
Highly Multilingual News Analysis Applications
Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - 6th ECML PKDD Workshop, DARE 2018, Dublin, Ireland, September 10, 2018, Revised Selected Papers
Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures
Uncertainty and Utility Sampling with Pre-Clustering
Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
Frugal Generative Modeling for Tabular Data
Label-Assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection
Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum
Graph Attention Network with Relational Dynamic Factual Fusion for Knowledge Graph Completion
Multi-label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples
Football Pass Prediction using Player Locations
Process Mining Meets Abstract Interpretation
Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support
hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware
Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts
Real-time Power Performance Prediction in Tour de France
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering
Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems
Personalized Contest Recommendation in Fantasy Sports
Multi-label Lazy Associative Classification
Transaction Categorization with Relational Deep Learning in QuickBooks
Parameterless Semi-supervised Anomaly Detection in Univariate Time Series