yusuke1997/dblp-id-title huggingface dataset:
Computing Covariance and Correlation in Optimally Privacy-Protected Statistical Databases: Feasible Algorithms
Decomposable Graphical Models on Learning, Fusion and Revision
Pipelined Hardware Architecture for a Fuzzy Logic Based Edge Detection System
Load Frequency Control of Hydro-Hydro System with Fuzzy Logic Controller Considering Non-linearity
Co-reference Resolution in Farsi Corpora
PSO Optimal Tracking Control for State-Dependent Coefficient Nonlinear Systems
Statistical Comparison of the Bee Colony Optimization and Fuzzy BCO Algorithms for Fuzzy Controller Design Using Trapezoidals MFs
Contextual Bipolar Queries
Querying Cyber-Networks Using Words
Mathematical Model of Ecopyrogenesis Reactor with Fuzzy Parametrical Identification
Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky's Empirical Decision Weights
Software Implementation Methodology of Intelligent Information Systems of Learning and Knowledge Control (IISLKC)
A Quantitative Assessment of Edge Preserving Smoothing Filters for Edge Detection
Interval Type-2 Fuzzy Possibilistic C-Means Clustering Algorithm
Rankings and Total Orderings on Sets of Generalized Fuzzy Numbers
Models for Indicating the Period of Failure of Industrial Objects
Beyond Traditional Applications of Fuzzy Techniques: Main Idea and Case Studies
Constraints Preserving Genetic Algorithm for Learning Fuzzy Measures with an Application to Ontology Matching
Differentiations in Hierarchical Fuzzy Systems
On the Concept of Big Data Analysis
Genetic Optimization of Type-1 and Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction
Sustainable Supplier Selection: A New Differential Evolution Strategy with Automotive Industry Application
Adaptive Neuro-Fuzzy Inference System for Classification of Texts
Classification of Air Quality Monitoring Stations Using Fuzzy Similarity Measures: A Case Study
A New Methodology for Application of Impact's Identification Using Fuzzy Relation
A Generalized Fuzzy T-norm Formulation of Fuzzy Modularity for Community Detection in Social Networks
How to Estimate Resilient Modulus for Unbound Aggregate Materials: A Theoretical Explanation of an Empirical Formula
An α-Level OWA Implementation of Bounded Rationality for Fuzzy Route Selection
Jagdambika Method for Solving Matrix Games with Fuzzy Payoffs
Decentralized Adaptive Fuzzy Control Applied to a Robot Manipulator
Expert Knowledge Base in Integrated Maintenance Models for Engineering Plants
Analytical Models of WLAN Standard IEEE 802.11
Design of Ensemble Neural Networks for Predicting the US Dollar/MX Time Series with Particle Swarm Optimization
Optimal Academic Ranking of Students in a Fuzzy Environment: A Case Study
Preprocessing Method for Support Vector Machines Based on Center of Mass
Comparing the Properties of Meta-heuristic Optimization Techniques with Various Parameters on a Fuzzy Rule-Based Classifier
Big Data Analytics and Fuzzy Technology: Extracting Information from Social Data
Time Series Image Data Analysis for Sport Skill
A Neural Network with a Learning Vector Quantization Algorithm for Multiclass Classification Using a Modular Approach
Sustainability Index: A Fuzzy Approach for a Municipal Decision Support System
Bio-inspired Optimization Metaheuristic Algorithm Based on the Self-defense of the Plants
Fuzzy Logic Based Simulation of Gynaecology Disease Diagnosis
Alpha-Rooting Image Enhancement Using a Traditional Algorithm and Genetic Algorithm
Optimization of Type-1 and Type-2 Fuzzy Systems Applied to Pattern Recognition
Finding the Nearest Service Provider on Time-Dependent Road Networks
Structuring the Output Space in Multi-label Classification by Using Feature Ranking
Permutation Structure in 0-1 Data
Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets
Exact and Approximate Inference for Annotating Graphs with Structural SVMs
Adaptive Momentum Coefficient for Neural Network Optimization
An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning
On-Line Dynamic Time Warping for Streaming Time Series
Improving Smart Waste Collection Using AutoML
Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns
How to RETIRE Tabular Data in Favor of Discrete Digital Signal Representation
Evaluating NFL Plays: Expected Points Adjusted for Schedule
Bayesian Hypothesis Testing in Machine Learning
Scoring Rule Nets: Beyond Mean Target Prediction in Multivariate Regression
Robust Super-Level Set Estimation Using Gaussian Processes
Cost-Sensitive Perceptron Decision Trees for Imbalanced Drifting Data Streams
Transferred Dimensionality Reduction
Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principle
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games
Coupled Hierarchical Dirichlet Process Mixtures for Simultaneous Clustering and Topic Modeling
Rollout Sampling Approximate Policy Iteration
Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction
Joint Autoencoders: A Flexible Meta-learning Framework
OPTISIA: An Evolutionary Approach to Parameter Optimisation in a Family of Point-Set Pattern-Discovery Algorithms
Subjectively Interesting Connecting Trees
Graph Evolution via Social Diffusion Processes
Adversarial Generation of Temporal Data: A Critique on Fidelity of Synthetic Data
Neighborhood Component Feature Selection for Multiple Instance Learning Paradigm
Understanding the Trade-Offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks
Community Mining from Multi-relational Networks
Neural Networks for State Evaluation in General Game Playing
Terrorist Detection System
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity
Large-Scale Support Vector Learning with Structural Kernels
Using Social Media to Promote STEM Education: Matching College Students with Role Models
CORKI: A Correlation-Driven Imputation Method for Partial Annotation Scenarios in Multi-label Clinical Problems
BalancedQR: A Framework for Balanced Query Recommendation
Knowledge-Driven Interpretation of Convolutional Neural Networks
Interpretations of Predictive Models for Lifestyle-related Diseases at Multiple Time Intervals
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II
NoisyCUR: An Algorithm for Two-Cost Budgeted Matrix Completion
A Matrix Factorization Approach for Integrating Multiple Data Views
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org
Combining Subjective Probabilities and Data in Training Markov Logic Networks
Fully Sparse Topic Models
Supervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text Databases
Combining Multiple Clustering Systems
Mining Comparative Sentences from Social Medias
Error Types in Transformer-Based Paraphrasing Models: A Taxonomy, Paraphrase Annotation Model and Dataset
Model Trees for Identifying Exceptional Players in the NHL and NBA Drafts
CrimeForecaster: Crime Prediction by Exploiting the Geographical Neighborhoods' Spatiotemporal Dependencies
Face-Cap: Image Captioning Using Facial Expression Analysis
Session-Based Fraud Detection in Online E-Commerce Transactions Using Recurrent Neural Networks
Towards Knowledge Discovery from cDNA Microarray Gene Expression Data
Predictive Bi-clustering Trees for Hierarchical Multi-label Classification
Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy Search
Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining
Involving Aggregate Functions in Multi-relational Search
Summarization of Dynamic Content in Web Collections
Proceedings of the First Workshop on MIning DAta for financial applicationS (MIDAS 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016), Riva del Garda, Italy, September 19-23, 2016
Self-generated Cross-Modal Prompt Tuning
Enhancing Rule Interestingness for Neuro-fuzzy Systems
'John Ate 5 Apples' != 'John Ate Some Apples': Self-supervised Paraphrase Quality Detection for Algebraic Word Problems
On the Relationship Between Disentanglement and Multi-task Learning
Differentially Private Sparse Linear Regression with Heavy-Tailed Responses
Predicting Sepsis Onset with Deep Federated Learning
SaDe: Learning Models that Provably Satisfy Domain Constraints
ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables
Data Envelopment Analysis for Energy Audits of Housing Properties
Towards an Automatic Evaluation for Topic Extraction Systems for Online Reputation Management
Geometric and Combinatorial Tiles in 0-1 Data
Self-attention Enhanced Patient Journey Understanding in Healthcare System
Greedy Confidence Pursuit: A Pragmatic Approach to Multi-bandit Optimization
Neural Class Expression Synthesis in ALCHIQ(D)
Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond
Discovery of Health Risks and Case-Based Forecasting of Epidemics in a Health Surveillance System
Learning from Partially Labeled Sequences for Behavioral Signal Annotation
Mining Top-K Largest Tiles in a Data Stream
Classification of Multi-labeled Data: A Generative Approach
Real Time Detection and Tracking of Spatial Event Clusters
ChiENN: Embracing Molecular Chirality with Graph Neural Networks
Efficient and Generalized End-to-End Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
Layered Integration Approach for Multi-view Analysis of Temporal Data
Stress-Testing Hoeffding Trees
Knowledge Discovery with Qualitative Influences and Synergies
Margin and Radius Based Multiple Kernel Learning
Fuzzy Spatial OQL for Fuzzy Knowledge Discovery in Databases
Reconstructing Data Perturbed by Random Projections When the Mixing Matrix Is Known
Placing (Historical) Facts on a Timeline: A Classification Cum Coref Resolution Approach
Identifying Representative Load Time Series for Load Flow Calculations
Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In During Sparse Matrix Decomposition
PCA, Eigenvector Localization and Clustering for Side-Channel Attacks on Cryptographic Hardware Devices
Toward an Understanding of Adversarial Examples in Clinical Trials
Resource-Aware On-line RFID Localization Using Proximity Data
Entropic Trace Estimates for Log Determinants
Flash Points: Discovering Exceptional Pairwise Behaviors in Vote or Rating Data
Learning Algorithms for Link Prediction Based on Chance Constraints
Forklift Truck Activity Recognition from CAN Data
Discovery of "Interesting" Data Dependencies from a Workload of SQL Statements
A Fair Post-processing Method Based on the MADD Metric for Predictive Student Models
Separable Approximate Optimization of Support Vector Machines for Distributed Sensing
Weighted Multivariate Mean Reversion for Online Portfolio Selection
GLUECK: Growth Pattern Learning for Unsupervised Extraction of Cancer Kinetics
$\mathtt {RE\text{- }Tagger}$: A Light-Weight Real-Estate Image Classifier
Mining Outlier Participants: Insights Using Directional Distributions in Latent Models
Mining, Modeling, and Recommending 'Things' in Social Media - 4th International Workshops, MUSE 2013, Prague, Czech Republic, September 23, 2013, and MSM 2013, Paris, France, May 1, 2013, Revised Selected Papers
Catenary Support Vector Machines
Active Inference for Stochastic Control
Knowledge Discovery in Databases: PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings
On the Performance of LLMs for Real Estate Appraisal
Hierarchical Graph Contrastive Learning
Near-Infrared Spectroscopy and Image Classification of Refuse Derived Fuels to Increase Cement Production Quality
Cross Model Parallelism for Faster Bidirectional Training of Large Convolutional Neural Networks
Artificial Neural Networks Applied to Taxi Destination Prediction
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II
Estimating Sales Opportunity Using Similarity-Based Methods
Communication-Efficient Classification in P2P Networks
RecurSIA-RRT: Recursive Translatable Point-Set Pattern Discovery with Removal of Redundant Translators
Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining
Enabling Training Personalization by Predicting the Sessioon Rate of Perceived Exertion
Kernels for Link Prediction with Latent Feature Models
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases
Text Mining via Information Extraction
Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification
A Critical View on Automatic Significance-Filtering in Pattern Mining
Near Out-of-Distribution Detection for Low-Resolution Radar Micro-doppler Signatures
Towards a sharp estimation of transfer entropy for identifying causality in financial time series
CLASITEX: A Tool for Knowledge Discovery from Texts
Predicting Season Outcomes for the NBA
Understanding Where Your Classifier Does (Not) Work
Parallel Boosting with Momentum
Graph Contrastive Learning with Adaptive Augmentation for Recommendation
News Recommendation via Jointly Modeling Event Matching and Style Matching
A Multi-metric Index for Euclidean and Periodic Matching
Local Roots: A Tree-Based Subgoal Discovery Method to Accelerate Reinforcement Learning
The Stochastic Gradient Descent for the Primal L1-SVM Optimization Revisited
Global Explanations with Local Scoring
Constrained Logistic Regression for Discriminative Pattern Mining
BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency
Differential Privacy and Neural Networks: A Preliminary Analysis
PEM: A Practical Differentially Private System for Large-Scale Cross-Institutional Data Mining
Rooftop Detection for Planning of Solar PV Deployment: A Case Study in Abu Dhabi
L-SME: A System for Mining Loosely Structured Motifs
TSHAP: Fast and Exact SHAP for Explaining Time Series Classification and Regression
Manifold Coarse Graining for Online Semi-supervised Learning
Temporally Coherent Role-Topic Models (TCRTM): Deinterlacing Overlapping Activity Patterns
Fine-Grained Bidirectional Attention-Based Generative Networks for Image-Text Matching
Mining Temporal Features in Association Rules
Robust, Deep and Inductive Anomaly Detection
Activity Recognition with Mobile Phones
Variational Thompson Sampling for Relational Recurrent Bandits
Induction of Multivariate Decision Trees by Using Dipolar Criteria
TextVis: An Integrated Visual Environment for Text Mining
Interactive Motif Discovery in Time Series with Persistent Homology
AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing
Learning Monotone Nonlinear Models Using the Choquet Integral
Ratio-Based Multiple Kernel Clustering
Constructing High Dimensional Feature Space for Time Series Classification
Challenges of Reliable, Realistic and Comparable Active Learning Evaluation
Modelling Customer Retention with Rough Data Models
Fast LSTD Using Stochastic Approximation: Finite Time Analysis and Application to Traffic Control
Star Classification Under Data Variability: An Emerging Challenge in Astroinformatics
Semi-supervised Multi-aspect Detection of Misinformation Using Hierarchical Joint Decomposition
FinQA: A Training-Free Dynamic Knowledge Graph Question Answering System in Finance with LLM-Based Revision
Bayesian Optimization with a Prior for the Optimum
A Regularization Method with Inference of Trust and Distrust in Recommender Systems
Policy Control with Delayed, Aggregate, and Anonymous Feedback
Hybrid Cross-Domain Robust Reinforcement Learning
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part III
JKDM: A Joint Structural and Semantic Diffusion-Generated Knowledge Completion Model
Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models
Mining Lemma Disambiguation Rules from Czech Corpora
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations
HPExplorer: XAI Method to Explore the Relationship Between Hyperparameters and Model Performance
Nomograms for Visualization of Naive Bayesian Classifier
An Autoencoder Based Approach to Simulate Sports Games
Error Variance, Fairness, and the Curse on Minorities
Measuring the Burden of (Un)fairness Using Counterfactuals
Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification
A Reasoning Approach to Financial Data Exchange with Statistical Confidentiality
A Data Set Oriented Approach for Clustering Algorithm Selection
Tracking Concept Change with Incremental Boosting by Minimization of the Evolving Exponential Loss
A Semi-automatic Approach for Tech Mining and Interactive Taxonomy Visualization
An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery
A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry
Multivariate Time Series Anomaly Prediction Based on Forecasting and Reconstruction Using Transformer with Temporal and Feature-Wise Attention
Human Activity Recognition with Convolutional Neural Networks
Discovering Rules in Information Trees
Higher Order Contractive Auto-Encoder
Preference Elicitation and Inverse Reinforcement Learning
Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and Video
Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches?
Local Exceptionality Detection on Social Interaction Networks
Generalization in Unsupervised Learning
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive
Hop-Count Based Self-supervised Anomaly Detection on Attributed Networks
Cooperative Multi-agent Policy Gradient
A KNN-Based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal Discovery
Kernel-Based Copula Processes
Knowledge Discovery in Multi-label Phenotype Data
On the Good Behaviour of Extremely Randomized Trees in Random Forest-Distance Computation
Learning from Multi-source Data
On the Predictive Power of Web Intelligence and Social Media - The Best Way to Predict the Future Is to tweet It
Mining Thick Skylines over Large Databases
Selective Propositionalization for Relational Learning
Some Thoughts on Using Annotated Suffix Trees for Natural Language Processing
IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis
Labeled DBN Learning with Community Structure Knowledge
Learning Multi-linear Representations of Distributions for Efficient Inference
Gaussian Process Multi-task Learning Using Joint Feature Selection
Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series
A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions
Experimental Evaluation of Scale, and Patterns of Systematic Inconsistencies in Google Trends Data
Simple Explanations to Summarise Subgroup Discovery Outcomes: A Case Study Concerning Patient Phenotyping
An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers
Clustering Scientific Literature Using Sparse Citation Graph Analysis
Elastic Partial Matching of Time Series
SPNC: Fast Sum-Product Network Inference
Incremental Training of Deep Convolutional Neural Networks
Dependency Tree Kernels for Relation Extraction from Natural Language Text
ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring
A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation
Explanations for Network Embedding-Based Link Predictions
Spatio-Temporal Pyramid Networks for Traffic Forecasting
Prompting without Panic: Attribute-Aware, Zero-Shot, Test-Time Calibration
Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping
Lavender Autonomous Navigation with Semantic Segmentation at the Edge
CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints
From Plagiarism Detection to Bible Analysis: The Potential of Machine Learning for Grammar-Based Text Analysis
Discovering Unexpected Information for Technology Watch
Reservoir Pattern Sampling in Data Streams
Low-Rank Hierarchical Clustering of PRISMA Hyperspectral Images to Identify Burned Areas
Exposing Racial Dialect Bias in Abusive Language Detection: Can Explainability Play a Role?
Enriching Education through Data Mining
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
On Temporal Evolution in Data Streams
A Relevance Criterion for Sequential Patterns
On the Transferability of Deep Neural Networks for Recommender System
Automatic Recognition of Student Engagement Using Deep Learning and Facial Expression
FLAIRS: Federated Learning AI Regulatory Sandbox
Asynchronous Feature Extraction for Large-Scale Linear Predictors
On the Labeling Correctness in Computer Vision Datasets
Towards a Hybrid Human-Machine Discovery of Complex Movement Patterns
Generating Financial Reports from Macro News via Multiple Edits Neural Networks
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III
Complexity Bounds for Batch Active Learning in Classification
Towards Explainability in Monocular Depth Estimation
A Tag Recommendation System Based on Contents
UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning
Study on Correlation Between Vehicle Emissions and Air Quality in Porto
The VC-Dimension of SQL Queries and Selectivity Estimation through Sampling
Towards Sensing and Sharing Auditory Context Information Using Wearable Device
Ensemble Feature Ranking
Generality-Training of a Classifier for Improved Calibration in Unseen Contexts
Lighter, Better, Faster Multi-source Domain Adaptation with Gaussian Mixture Models and Optimal Transport
Temporal Dependency Detection Between Interval-Based Event Sequences
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning
Graph Fraud Detection Based on Accessibility Score Distributions
Conv-NILM-Net, a Causal and Multi-appliance Model for Energy Source Separation
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data
Modeling Text-Label Alignment for Hierarchical Text Classification
Deep Constrained Clustering applied to Satellite Image Time Series
Forecasting Longevity for Financial Applications: A First Experiment with Deep Learning Methods
A Simple Algorithm for Topic Identification in 0-1 Data
Simulation of Annotators for Active Learning: Uncertain Oracles
Improving Generalization by Data Categorization
On Local Optimizers of Acquisition Functions in Bayesian Optimization
Lifted Online Training of Relational Models with Stochastic Gradient Methods
Fair Densest Subgraph Across Multiple Graphs
Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming
Data Science for Fighting Environmental Crime
The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions
Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport
Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links
Influence Analysis in Business Social Media
On the Equivalence of the SMO and MDM Algorithms for SVM Training
An Imbalanced Data Rule Learner
Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data
EOP Time Series Prediction Using Singular Spectrum Analysis
A Comparison of Model Selection Procedures for Predicting Turning Points in Financial Time Series
Are Generative-Based Graph Counterfactual Explainers Worth It?
Continuous Kernel Learning