yusuke1997/dblp-id-title huggingface dataset:
A Game Theoretic Framework for Data Privacy Preservation in Recommender Systems
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers
Refining Aggregate Conditions in Relational Learning
Variational Hyper-encoding Networks
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), Dublin, Ireland, September 10th, 2018
Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension
Rule Induction in Cascade Model Based on Sum of Squares Decomposition
Edge but not Least: Cross-View Graph Pooling
Cyber Attacks Against the PC Learning Algorithm
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
Goal Modelling for Deep Reinforcement Learning Agents
Approaches to Uncertainty Quantification in Federated Deep Learning
AGG: An Automated Genogram Generator by Discovering Information in Clinical Texts
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III
Efficient Automated Deep Learning for Time Series Forecasting
Beliefs, Relationships, and Equality: An Alternative Source of Discrimination in a Symmetric Hiring Market via Threats
FLIP: Active Learning for Relational Network Classification
Thinking Like an Author: A Zero-Shot Learning Approach to Keyphrase Generation with Large Language Model
Automatic Sentiment Monitoring of Specific Topics in the Blogosphere
A Novel Central Voltage-Control Strategy for Smart LV Distribution Networks
FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics
Player Pairs Valuation in Ice Hockey
Importance Weighted Inductive Transfer Learning for Regression
Dynamic Winner Prediction in Twenty20 Cricket: Based on Relative Team Strengths
Similarity-Driven Sampling for Data Mining
Detecting Marionette Microblog Users for Improved Information Credibility
PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving
Side-Channel Based Runtime Intrusion Detection for Network Equipment
COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem
Graphical Model Sketch
DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation
An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions
Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series
Disentangled Counterfactual Graph Augmentation Framework for Fair Graph Learning with Information Bottleneck
Learning Active Learning at the Crossroads? Evaluation and Discussion
Subgraph Gaussian Embedding Contrast for Self-supervised Graph Representation Learning
Transformer with Sparse Adaptive Mask for Network Dismantling
Cold-Start Multi-hop Reasoning by Hierarchical Guidance and Self-verification
autoBagging: Learning to Rank Bagging Workflows with Metalearning
Subspace Regularization: A New Semi-supervised Learning Method
Towards Explainable Occupational Fraud Detection
Semi-supervised Learning Using an Unsupervised Atlas
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 IV
Classifying a Stream of Infinite Concepts: A Bayesian Non-parametric Approach
Semi-automatic Categorization of Videos on VideoLectures.net
InFi-BERT 1.0: Transformer-Based Language Model for Indian Financial Volatility Prediction
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series
An (ε ,δ )-Accurate Level Set Estimation with a Stopping Criterion
Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs
Listener-Aware Music Recommendation from Sensor and Social Media Data
Proceedings of the 4th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), Skopje, Macedonia, September 18th, 2017
Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability
Evaluation of Different Data-Derived Label Hierarchies in Multi-label Classification
Stochastic Activation Actor Critic Methods
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II
Coniunge et Impera: Multiple-Graph Mining for Query-Log Analysis
Constraint-Based Parameterization and Disentanglement of Aerodynamic Shapes Using Deep Generative Models
An Algorithm for Reducing the Number of Distinct Branching Conditions in a Decision Forest
Privacy Preserving Market Basket Data Analysis
As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs
Prototypical Convolutional Neural Network for a Phrase-Based Explanation of Sentiment Classification
A Novel Stability Based Feature Selection Framework for k-means Clustering
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation
One-Class Classification by Combining Density and Class Probability Estimation
Reasoning About Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications
Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Models
Bayesian Generalized Horseshoe Estimation of Generalized Linear Models
Learning to Disambiguate Search Queries from Short Sessions
Efficient Statistical Pruning of Association Rules
RNN-based Multi-Source Land Cover Mapping: An Application to West African Landscape
Structure Is Informative: On Mining Structured Information Networks
Geovisualisation Tools for Reporting and Monitoring Transthyretin-Associated Familial Amyloid Polyneuropathy Disease
MedSyn: LLM-Based Synthetic Medical Text Generation Framework
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part III
Graph-Level Anomaly Detection via Hierarchical Memory Networks
Conservative Online Convex Optimization
Powered Dirichlet Process - Controlling the "Rich-Get-Richer" Assumption in Bayesian Clustering
TiNID: A Transfer and Interpretable LLM-Enhanced Framework for New Intent Discovery
Sparse Separable Nonnegative Matrix Factorization
Providing Naïve Bayesian Classifier-Based Private Recommendations on Partitioned Data
Label-Noise Robust Logistic Regression and Its Applications
An Experimental Study of Partition Quality Indices in Clustering
DispaRisk: Assessing Fairness Through Usable Information
A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost
Extension of the Rocchio Classification Method to Multi-modal Categorization of Documents in Social Media
Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHL
A Time and Space Efficient Algorithm for Contextual Linear Bandits
Mining Databases to Mine Queries Faster
Model-Based Offline Policy Optimization with Distribution Correcting Regularization
Mitigating Confounding Bias for Recommendation via Counterfactual Inference
Online Analysis of High-Volume Data Streams in Astroparticle Physics
Integrating Logical Reasoning and Probabilistic Chain Graphs
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning
marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization
Redescription Mining with Multi-target Predictive Clustering Trees
A Preference-based Stream Analyzer
Learning I/O Access Patterns to Improve Prefetching in SSDs
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Diagnosing Acute Appendicitis with Very Simple Classification Rules
Reconstructing the Past: Applying Deep Learning to Reconstruct Pottery from Thousands Shards
Learning Submodular Sequencing from Samples
A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?
An Adaptive Prequential Learning Framework for Bayesian Network Classifiers
On the Coherence of Fake News Articles
On Generalization of Graph Autoencoders with Adversarial Training
Learning Characteristic Rules Relying on Quantified Paths
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers
Leightweight Document Clustering
Deep Active Learning in Remote Sensing for data efficient Change Detection
Trend Graphs: Visualizing the Evolution of Concept Relationships in Large Document Collections
Intelligent Adaptive Ensembles for Data Stream Mining: A High Return on Investment Approach
Scientific Workflow Management with ADAMS
Industrial Event Log Analyzer - Self-service Data Mining for Domain Experts
Anomaly Detection in Pet Behavioural Data
Adaptive Active Classification of Cell Assay Images
How Prevalent Is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses
Robust Functional Regression for Outlier Detection
Augmenting Open-Domain Event Detection with Synthetic Data from GPT-2
Analyzing Granger Causality in Climate Data with Time Series Classification Methods
Pushing-Down Tensor Decompositions over Unions to Promote Reuse of Materialized Decompositions
Unveiling Driver Modules in Lung Cancer: A Clustering-Based Gene-Gene Interaction Network Analysis
On a Few Recent Developments in Meta-Learning for Algorithm Ranking and Selection
Urban Verticalization and Water Consumption: A Data-Driven Approach for São Paulo
MAINLE: A Multi-Agent, Interactive, Natural Language Local Explainer of Classification Tasks
Curriculum Learning in Deep Neural Networks for Financial Forecasting
MSTS: A System for Mining Sets of Time Series
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss
Discovering Patterns in Real-Valued Time Series
Correcting Bias in Statistical Tests for Network Classifier Evaluation
Decentralized Learning with Budgeted Network Load Using Gaussian Copulas and Classifier Ensembles
Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods
SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model
Semi-supervised Learning for Multi-target Regression
Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning
Dimension Reduction in Dissimilarity Spaces for Time Series Classification
Practical Text Mining
Non-crisp Clustering by Fast, Convergent, and Robust Algorithms
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Marginal Release Under Multi-party Personalized Differential Privacy
Clustering Techniques in Biological Sequence Analysis
Predicting the NFL using Twitter
A Spectroscopy of Texts for Effective Clustering
Smooth Receiver Operating Characteristics (smROC) Curves
Targeting the Source: Selective Data Curation for Debiasing NLP Models
Uncovering Hidden Concepts from AIS Data: A Network Abstraction of Maritime Traffic for Anomaly Detection
Cancer: Another Algorithm for Subtropical Matrix Factorization
Towards Automation of Pollen Monitoring - Dealing with the Background in Pollen Monitoring Images
Stars, Stripes, and Silicon: Unravelling the ChatGPT's All-American, Monochrome, Cis-centric Bias
Towards a Fine-Grained Threat Model for Video-Based Remote Identity Proofing
Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I
Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem
Cautious Ordinal Classification by Binary Decomposition
Active Sampling for Knowledge Discovery from Biomedical Data
Mend the Learning Approach, Not the Data: Insights for Ranking E-Commerce Products
Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks
Exploring City Structure from Georeferenced Photos Using Graph Centrality Measures
Rule Learning Through Active Inductive Inference
Local Multi-label Explanations for Random Forest
Ranking the Teams in European Football Leagues With Agony
Multi-Relational Data Mining, Using UML for ILP
Applying Model-Based Optimization to Hyperparameter Optimization in Machine Learning
On Approximation of Real-World Influence Spread
An Approach for Erosion and Power Loss Prediction of Wind Turbines Using Big Data Analytics
Agwan: A Generative Model for Labelled, Weighted Graphs
Instance-Based Classification by Emerging Patterns
Neural Maximum Independent Set
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification
Triplets Oversampling for Class Imbalanced Federated Datasets
Learning Representations for Bipartite Graphs Using Multi-task Self-supervised Learning
Boosting the Performance of Deployable Timestamped Directed GNNs via Time-Relaxed Sampling
A Non-parametric Bayesian Approach for Uplift Discretization and Feature Selection
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
Learning the Parameters of Probabilistic Logic Programs from Interpretations
MIME: A Framework for Interactive Visual Pattern Mining
Uncovering Locally Discriminative Structure for Feature Analysis
Exploring the Risks of General-Purpose AI: The Role of the Brain's Reward Mechanism and Nearsighted Goals in Processes of Decision-Makings
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II
Detecting Strategic Moves in HearthStone Matches
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part IV
AWX: An Integrated Approach to Hierarchical-Multilabel Classification
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II
Modular Dimensionality Reduction
Dynamic Factor Graphs for Time Series Modeling
Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer
Similarity of Football Players Using Passing Sequences
Real Time GPU-Based Fuzzy ART Skin Recognition
Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection
Knowledge Discovery with Clustering Based on Rules. Interpreting Results
Predictive Maintenance, Adversarial Autoencoders and Explainability
Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model
Gender Stereotyping Impact in Facial Expression Recognition
Efficient and General Text Classification: An Active Learning Approach Using Active Learning and NLP to Aid Processes Such as Journalistic Investigations And document Analysis
Predicting NCAAB Match Outcomes Using ML Techniques - Some Results and Lessons Learned
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions
What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
Ranking to Learn: - Feature Ranking and Selection via Eigenvector Centrality
Fair and Efficient Alternatives to Shapley-based Attribution Methods
MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities
A Split-Merge DP-means Algorithm to Avoid Local Minima
Topic Models Conditioned on Relations
Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies
"J'veux du Soleil" Towards a Decade of Solar Irradiation Data (La Réunion Island, SW Indian Ocean)
On Auxiliary Losses for Semi-Supervised Semantic Segmentation
On Learning Matrices with Orthogonal Columns or Disjoint Supports
Towards Machine Learning of Grammars and Compilers of Programming Languages
Statistical Relational Learning with Formal Ontologies
Retrieval-Augmented Mining of Temporal Logic Specifications from Data
Predictability Analysis of Aperiodic and Periodic Model for Long-Term Human Mobility Using Ambient Sensors
Predicting Dynamics in Violin Pieces with Features from Melodic Motifs
Machine Unlearning for Random Forest via Method of Images
Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression Models
Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs
Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization
Quadratic Error Minimization in a Distributed Environment with Privacy Preserving
k-SubMix: Common Subspace Clustering on Mixed-Type Data
An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming
Kernel Alignment Inspired Linear Discriminant Analysis
Distinguishing Between Roles of Football Players in Play-by-Play Match Event Data
Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees
Query Languages for Knowledge Discovery in Databases
A Reservoir Computing Approach for Balance Assessment
An Incremental Algorithm for Mining Generators Representation
Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources
Classification of Web Documents Using a Graph-Based Model and Structural Patterns
Fast Redescription Mining Using Locality-Sensitive Hashing
Common Substructure Learning of Multiple Graphical Gaussian Models
Masked Graph Auto-Encoder Constrained Graph Pooling
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part I
Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation
TempEHR: A Temporal Dependency-Based Approach for Synthesizing Electronic Health Records
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV
ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data
MalGPT: A Generative Explainable Model for Malware Binaries
Finding Association Rules with Some Very Frequent Attributes
Design and Implementation Issues of a Time-dependent Shortest Path Algorithm for Multimodal Transportation Network
Learning from Highly Structured Data by Decomposition
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-agent Reinforcement Learning
Towards Automated Configuration of Stream Clustering Algorithms
Actively Interacting with Experts: A Probabilistic Logic Approach
Clustering Ontology-Based Metadata in the Semantic Web
Beyond General Edge Utilization: Edge Attention Mean Teacher for Semi-Supervised Medical Image Segmentation
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions
Explainable Multiple Instance Learning with Instance Selection Randomized Trees
Graph Signal Processing for Directed Graphs Based on the Hermitian Laplacian
Bivariate Decision Trees
Web Communities Identification from Random Walks
Predicting the Receivers of Football Passes
Analyzing Attribute Dependencies
DiNgHy: Null Models for Non-degenerate Directed Hypergraphs
ECG Monitoring in Wearable Devices by Sparse Models
CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-teaching
HiDER: Query-Driven Entity Resolution for Historical Data
Transfer Learning with Adaptive Regularizers
Sparse Bayesian Recurrent Neural Networks
Urban Water Flow and Water Level Prediction Based on Deep Learning
Rethinking Exponential Averaging of the Fisher
Hyper-Parameter-Free Generative Modelling with Deep Boltzmann Trees
Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method
Robust Interaction-Based Relevance Modeling for Online e-Commerce Search
Learning Good Edit Similarities with Generalization Guarantees
Social Tag Prediction Base on Supervised Ranking Model
Flexible Inference for Cyberbully Incident Detection
Partial Label Learning via Self-Paced Curriculum Strategy
Fast Convergence of Random Reshuffling Under Over-Parameterization and the Polyak-Łojasiewicz Condition
Diagnostic Surveillance of High-Grade Gliomas: Towards Automated Change Detection Using Radiology Report Classification
Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization
Automatic Recognition of Public Transport Trips from Mobile Device Sensor Data and Transport Infrastructure Information
Multitask Hopfield Networks
Inferring the Strategy of Offensive and Defensive Play in Soccer with Inverse Reinforcement Learning
A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization
Incremental Commute Time Using Random Walks and Online Anomaly Detection
Regression with Linear Factored Functions
Postponing the Evaluation of Attributes with a High Number of Boundary Points
Combining Classifiers through Triplet-Based Belief Functions
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part II
What is the Value of an Action in Ice Hockey? Q-Learning for the NHL
MDL-Based Analysis of Time Series at Multiple Time-Scales
A Tool for Subjective and Interactive Visual Data Exploration
Ring-Star: A Sparse Topology for Faster Model Averaging in Decentralized Parallel SGD
Online Long-Term Trajectory Prediction Based on Mined Route Patterns
Data Patterns Explained with Linked Data
Exploration Enhanced Expected Improvement for Bayesian Optimization
Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter
Bayesian Crowdsourcing with Constraints
A Transductive Forest for Anomaly Detection with Few Labels
MOA: A Real-Time Analytics Open Source Framework
Reasoning with Classifiers
Self-certified Tuple-Wise Deep Learning
OpenTED Browser: Insights into European Public Spendings
AUEB at BioASQ 7: Document and Snippet Retrieval
Wind Speed Forecasting Using Statistical and Machine Learning Methods: A Case Study in the UAE
Why Do Sports Officials Dropout?
Data Structures for Detecting Rare Variations in Time Series
Soft Margin Trees
LOAD: LSH-Based ℓ 0 -Sampling over Stream Data with Near-Duplicates
Support Vector Random Fields for Spatial Classification
Comparing Apples and Oranges - Measuring Differences between Data Mining Results
Distortion-Free Nonlinear Dimensionality Reduction
An Artificial Neural Network-based Prediction Model for Underdog Teams in NBA Matches
Provably Accurate Adaptive Sampling for Collocation Points in Physics-Informed Neural Networks
Towards an Abstractive Opinion Summarisation of Multiple Reviews in the Tourism Domain
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio
Fine-grained Representation Learning and Multi-view Collaborative Augmentation for Recommendation
NewsGist: A Multilingual Statistical News Summarizer
Fast Label Embeddings via Randomized Linear Algebra
Discovering Task Neighbourhoods Through Landmark Learning Performances
Aspects of Semi-supervised and Active Learning in Conditional Random Fields
Data Association with Gaussian Processes
Multi-label Classification with Output Kernels
Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks
Socially Enabled Preference Learning from Implicit Feedback Data
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
Player Valuation in European Football
Deep Factor Model - Explaining Deep Learning Decisions for Forecasting Stock Returns with Layer-Wise Relevance Propagation
Object Identification with Attribute-Mediated Dependences
Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems