yusuke1997/dblp-id-title huggingface dataset:
Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees
Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates
Automated Grading of Exam Responses: An Extensive Classification Benchmark
Four-Fold Table Calculi for Discovery Science
TAFT: A Transformer-Based Approach for Format Transformation
Discovery Science, 5th International Conference, DS 2002, Lübeck, Germany, November 24-26, 2002, Proceedings
Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data
Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems
Ensembles of Extremely Randomized Trees for Multi-target Regression
Extraction of Authors' Charateristics from japanese Modern Setences via N-gram Distribution
Exploiting Bhattacharyya Similarity Measure to Diminish User Cold-Start Problem in Sparse Data
Discovery of Genetic Networks Through Abduction and Qualitative Simulation
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors
Time and Space Efficient Discovery of Maximal Geometric Graphs
A Density Estimation Approach for Detecting and Explaining Exceptional Values in Categorical Data
Expressive Probability Models in Science
A Fuzzy OWL Ontologies Embedding for Complex Ontology Alignments
Computer Aided Discovery of User's Hidden Interest for Query Restructuring
Multi-domain Validation of LLM-Based Simulators via Interpretable and Latent Representations
Unsupervised Concept Drift Detection Using a Student-Teacher Approach
Mining Association Algorithm Based on ROC Convex Hull Method in Bibliographic Navigation System
MQ-OFL: Multi-sensitive Queue-based Online Fair Learning
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Clipping and Analyzing News Using Machine Learning Techniques
Automatic Computational Discovery of Chemical Reaction Networks Using Genetic Programming
Model Selection and Estimation Via Subjective User Preferences
Creating Abstract Concepts for Classification by Finding Top- N Maximal Weighted Cliques
Ensemble Counterfactual Explanations for Churn Analysis
Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
Explainable Spatio-Temporal Graph Modeling
Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
An Attention-Based CNN Approach to Detect Forest Tree Dieback Caused by Insect Outbreak in Sentinel-2 Images
A Collaborative Multi-objective Approach for Clustering Task Based on Distance Measures and Clustering Validity Indices
Knowledge Discovery through the Navigation Inside the Human Body
Scilog: A Language for Scientific Processes and Scales
Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations
FairTrader: A Method to Smoothly Control the Performance-Fairness Trade-Off
Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Regression
Separation of Photoelectrons via Multivariate Maxwellian Mixture Model
Feature Selection for Propositionalization
On Variants of Iterative Learning
Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning
Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm
Automatic Transaction of Signal via Statistical Modeling
Sparse Coding for Key Node Selection over Networks
Design and Evaluation of an Environment to Automate the Construction of Inductive Applications
Multicriterially Best Explanations
Communicability Criteria of Law Equations Discovery
Toward Effective Knowledge Acquisition with First Order Logic Induction
Expect the Unexpected - On the Significance of Subgroups
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression
Data Squashing for HSV Subimages by an Autonomous Mobile Robot
A Semantic Enrichment of Data Tables Applied to Food Risk Assessment
Hardware acceleration for ultra-fast Neural Network training on FPGA for MRF map reconstruction
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks
Exploiting Code Redundancies in ECOC
Fast Compression of Large-Scale Hypergraphs for Solving Combinatorial Problems
Tiling Databases
Random Case Analysis of Inductive Learning Algorithms
A Clustering-Inspired Quality Measure for Exceptional Preferences Mining - Design Choices and Consequences
Mining Constrained Regions of Interest: An Optimization Approach
Mining Frequent delta -Free Patterns in Large Databases
Discovery of Super-Mediators of Information Diffusion in Social Networks
VML: A View Modeling Language for Computational Knowledge Discovery
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning
Discovery Science, Third International Conference, DS 2000, Kyoto, Japan, December 4-6, 2000, Proceedings
Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes
Extracting Mutually Dependent Multisets
Exploiting Large Language Models for Enhanced Review Classification Explanations Through Interpretable and Multidimensional Analysis
Evolution Map: Modeling State Transition of Typhoon Image Sequences by Spatio-Temporal Clustering
Inducing Biological Models from Temporal Gene Expression Data
Extreme Algorithm Selection with Dyadic Feature Representation
Abstracting a Human's Decision Process by PRISM
Epistemic Uncertainty Sampling
Discovery Science, Second International Conference, DS '99, Tokyo, Japan, December, 1999, Proceedings
Automatic Detection of Geomagnetic Sudden Commencement Using Lifting Wavelet Filters
Nonequilibrium Thermodynamics from Time Series Data Analysis
Global and Local Spatial Autocorrelation in Predictive Clustering Trees
An Appraisal of UNIVAUTO? The First Discovery Program to Generate a Scientific Article
Constructing Iceberg Lattices from Frequent Closures Using Generators
A Data Analysis Approach for Evaluating the Behavior of Interestingness Measures
Local Interpretable Classifier Explanations with Self-generated Semantic Features
Learning, Mining, or Modeling? A Case Study from Paleocology
Computational Discovery of Communicable Knowledge: Symposium Report
On the Convergence of Incremental Knowledge Base Construction.
Improving Prediction of Distance-Based Outliers
Mining Multiple Clustering Data for Knowledge Discovery
A Compositional Framework for Mining Longest Ranges
An Associative Information Retrieval Based on the Dependency of Term Co-occurrence
KeyWorld: Extracting Keywords from a Document as a Small World
Incremental Algorithm Driven by Error Margins
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees
Generalized Musical Pattern Discovery by Analogy from Local Viewpoints
Drug Discovery as an Example of Literature-Based Discovery
Cross-Language Mining for Acronyms and Their Completions from the Web
Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns
Visual Interactive Subgroup Discovery with Numerical Properties of Interest
Dynamic Classifier Chain with Random Decision Trees
Semi-supervised Change Point Detection Using Active Learning
COVID-19 Therapy Target Discovery with Context-Aware Literature Mining
A Dataset for the Fine-tuning of LLM for the NER Task in the Cyber Security Domain
Fine-Tuning Transformer-Based LLMs in Hierarchical Text Classification
Handling Feature Ambiguity in Knowledge Discovery from Time Series
Discovery of Trends and States in Irregular Medical Temporal Data
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets
Discovery in Hydrating Plaster Using Machine Learning Methods
Cohesive Co-evolution Patterns in Dynamic Attributed Graphs
Automatic Wrapper Generation for Multilingual Web Resources
SwitchPath: Enhancing Exploration in Neural Networks Learning Dynamics
Rule-Based Prediction of Rare Extreme Values
Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis
A Quasi-extreme Reduction for Interval Transportation Problems
HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning
An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules
Sky Writer: Towards an Intelligent Smart-phone Gesture Tracing and Recognition Framework
Assisting Model-Discovery in Neuroendocrinology
Maximum a Posteriori Tree Augmented Naive Bayes Classifiers
Self Hyper-Parameter Tuning for Data Streams
CACTUS: A Context-Aware Framework for Counterfactual Explanations Across Diverse Prediction Domains
A New Approach to String Pattern Mining with Approximate Match
Inference and Learning in Planning (Extended Abstract)
MEI: Mutual Enhanced Infinite Generative Model for Simultaneous Community and Topic Detection
Mining Cohesive Itemsets in Graphs
Logic of Drug Discovery: A Descriptive Model of a Practice in Neuropharmacology
Big Data Analysis of StockTwits to Predict Sentiments in the Stock Market
A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks
Exploring the Reduction of Configuration Spaces of Workflows
Direction Finding of the Waves in Plasma Using Energy Function
Learning in Constraint Databases
Compositional Subgroup Discovery on Attributed Social Interaction Networks
Multi-label Classification Using Random Label Subset Selections
Real-Time Validation of Retail Gasoline Prices
Predicting Sepsis Severity from Limited Temporal Observations
Extrapolation is Not the Same as Interpolation
Splitting Stump Forests: Tree Ensemble Compression for Edge Devices
Semantic Annotation of Predictive Modelling Experiments
Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences
Discovering Hidden Knowledge in Carbon Emissions Data: A Multilayer Network Approach
Detecting Maximum k-Plex with Iterative Proper ℓ-Plex Search
Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals
Bootstrapping Parameter Estimation in Dynamic Systems
Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung
Refining Search Expression by Discovering Hidden User's Interests
Prediction of Binding Affinities for Protein-ligand Complexes with Neural Network Models
Synthesizing naturalistic visual textures with multiscale, nonlinear constraints using deep neural samplers
Issues in Organizing a Successful Knowledge Discovery Contest
Combining Predictions Under Uncertainty: The Case of Random Decision Trees
Argument-Based Agent Systems
Theory Revision in Equation Discovery
Dataset Morphing to Analyze the Performance of Collaborative Filtering
Multi-label Classification via Multi-target Regression on Data Streams
Exploring Curriculum Learning for Languages: Lessons from Regular Language Tasks
SM2D: A Modular Knowledge Discovery Approach Applied to Hydrological Forecasting
Detecting Outliers via Logical Theories and Its Data Complexity
Development of Some Methods and Tools for Discovering Conceptual Knowledge
Topological degree as a discrete diagnostic for disentanglement, with applications to the ΔVAE⋆
On the Complexity of Constraint-Based Theory Extraction
Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model
Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy
Input Noise Robustness and Sensitivity Analysis to Improve Large Datasets Clustering by Using the GRID
Discovery of a Set of Nominally Conditioned Polynomials
An Efficient Derivation for Elementary Formal Systems Based on Partial Unification
Event Pattern Discovery from the Stock Market Bulletin
Discovering Repetitive Expressions and Affinities from Anthologies of Classical Japanese Poems
Text Mining for Clinical Chinese Herbal Medical Knowledge Discovery
Improved Dataset Characterisation for Meta-learning
Evaluating Clustering Quality in Centroid-Based Clustering Using Counterfactual Distances
Bayesian Grammar Refinement for Efficient Equation Discovery
Learning from Each Other
Characterizations of Multivalued Dependencies and Related Expressions
Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data
Evaluation of Geographical Distortions in Language Models
DeCStor: A Framework for Privately and Securely Sharing Files Using a Public Blockchain
Data Mining Oriented System for Business Applications
Discovering the Primary Factors of Cancer from Health and Living Habit Questionnaires
FABBOO - Online Fairness-Aware Learning Under Class Imbalance
Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics
Preference-Based Reinforcement Learning Using Dyad Ranking
Subspace Clustering Based on Compressibility
Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology
Towards a Multimodal Framework for Remote Sensing Image Change Retrieval and Captioning
Using Constraints in Discovering Dynamics
TETRA: TExtual TRust Analyzer for a Gricean Approach to Social Networks
Adaptive Neural Networks for Online Domain Incremental Continual Learning
Experiments with Projection Learning
CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework
Enhancing Local Explanations with GAN-Based Neighborhood Generation
Data-Driven Prediction of Athletes' Performance Based on Their Social Media Presence
Component-Based Framework for Virtual Information Materialization
Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of Environmental Data Analysis
Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept
Computational Discovery of Scientific Knowledge
Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph
Feature Ranking for Multi-target Regression with Tree Ensemble Methods
Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network
Including Spatial Relations and Scales within Sequential Pattern Extraction
An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm
Boosting Cost-Sensitive Trees
Performance Analysis of a Greedy Algorithm for Inferring Boolean Functions
Structure-Sweetness Relationships of Aspartame Derivatives by GUHA
Movement Analysis of Medaka ( Oryzias Latipes ) for an Insecticide Using Decision Tree
Network-wide shocking events through the lens of node representation shift
Predicting Structured Outputs k-Nearest Neighbours Method
Variational Dependent Multi-output Gaussian Process Dynamical Systems
Prompting Neural-Guided Equation Discovery Based on Residuals
Automatic Determination Algorithm for the Optimum Number of States in NL-HMnet
Augmented Lagrangian Method for Linear Programming Using Smooth Approximation
Deduction Schemes for Association Rules
Dr. Inventor Framework: Extracting Structured Information from Scientific Publications
Clustering Orders
Fast Approximation Algorithm for the 1-Median Problem
An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics
Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel
ETIA: Towards an Automated Causal Discovery Pipeline
Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?
Learning with Globally Predictive Tests
Combining SHAP-Driven Co-clustering and Shallow Decision Trees to Explain XGBoost
Forecasting with Deep Learning: Beyond Average of Average of Average Performance
Chance and the Predictive Limit in Basketball (Both College and Professional)
Mining Frequent Bipartite Episode from Event Sequences
Discovery Science - 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings
Cellular Traffic Prediction and Classification: A Comparative Evaluation of LSTM and ARIMA
Ligand Affinity Prediction with Multi-pattern Kernels
A Wordification Approach to Relational Data Mining
A Practical Algorithm to Find the Best Episode Patterns
A Constructive Fuzzy NGE Learning System
Clustering and Visualization of Large Protein Sequence Databases by Means of an Extension on the Self-Organizing Map
Which Way to Go - Finding Frequent Trajectories Through Clustering
Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Medical Image Retrieval Using Multimodal Data
Discovery of Conservation Laws via Matrix Search
k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text
Nets Versus Trees for Feature Ranking and Gene Network Inference
CAEP: Classification by Aggregating Emerging Patterns
Neural Additive Vector Autoregression Models for Causal Discovery in Time Series
Literature Based Discovery Support System and Its Application to Disease Gene Identification
An Ensemble Hypergraph Learning Framework for Recommendation
A Method of Extracting Related Words Using Standardized Mutual Information
Identifying Super-Mediators of Information Diffusion in Social Networks
Email Categorization Using Fast Machine Learning Algorithms
A New Adaptive Learning Algorithm and Its Application to Online Malware Detection
Finding Hypotheses from Examples by Computing the Least Generalization of Bottom Clauses
Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers
Extracting Knowledge Patterns from Ticket Data
Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack Detection
Consensus Based Vertically Partitioned Multi-layer Perceptrons for Edge Computing
Outlier Handling in the Neighbourhood-Based Learning of a Continuous Class
Discovering Exceptional Information from Customer Inquiry by Association Rule Miner
Early Random Shapelet Forest
Multi-scale Sentiment Analysis of Location-Enriched COVID-19 Arabic Social Data
Mining Sectorial Episodes from Event Sequences
Parallel Execution for Speeding Up Inductive Logic Programming Systems
Discovery Science - 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings
A Pragmatic Logic of Scientific Discovery
Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization
Rule-Based FCM: A Relational Mapping Model
Knowledge Integration of Rule Mining and Schema Discovering
Feature Selection in Hierarchical Feature Spaces
GenFair: A Genetic Fairness-Enhancing Data Generation Framework
An Attempt to Rebuild C. Bernard's Scientific Steps
A Proposal for Uncovering Hidden Social Bots via Genetic Similarity
Discovering Homographs Using N-Partite Graph Clustering
Interpretable Graph Neural Networks for Heterogeneous Tabular Data
Empirical Comparison of Competing Query Learning Methods
Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency
A Framework for Classification in Data Streams Using Multi-strategy Learning
Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data
Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction
Stimulating Discovery
Multi-kernel Times Series Outlier Detection
GDT-RS: A Probabilistic Rough Induction Approach
Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention
Medical Document Mining Combining Image Exploration and Text Characterization
tsMIST: Model Sensitivity Analysis with Time Series Morphing
A Statistical Model for Topically Segmented Documents
Automatic Water Eddy Detection in SST Maps Using Random Ellipse Fitting and Vectorial Fields for Image Segmentation
An Integrated Graph and Probability Based Clustering Framework for Sequential Data
Main Factors Driving the Open Rate of Email Marketing Campaigns
Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams
COBRASTS: A New Approach to Semi-supervised Clustering of Time Series
Optimal Decoding of Hidden Markov Models with Consistency Constraints
RIMBO - An Ontology for Model Revision Databases
Improving Classification Accuracy by Means of the Sliding Window Method in Consistency-Based Feature Selection
Discovery Science - 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings
A Dialectic Approach to Problem-Solving
Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment Plants
Semantic Annotation of Data Tables Using a Domain Ontology
A Partially Dynamic Clustering Algorithm for Data Insertion and Removal
ARISTA Causal Knowledge Discovery from Texts
Discovery Science, 8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings
Philosophical Aspects of Scientific Discovery: A Historical Survey
Detecting Temporal Anomalies in Business Processes Using Distance-Based Methods
Discovering the Structures of Open Source Programs from Their Developer Mailing Lists
Finding Optimal Pairs of Cooperative and Competing Patterns with Bounded Distance
Incremental Learning of Cellular Automata for Parallel Recognition of Formal Languages
Learning Tree-Structured Distributions
Stream Clustering of Growing Objects
Development of SDS2: Smart Discovery System for Simultaneous Equation Systems
A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data
Consumers Financial Distress: Prediction and Prescription Using Machine Learning
Word Clouds for Efficient Document Labeling
Comparative Evaluation of Two Systems for the Visual Navigation of Encyclopedia Knowledge Spaces
Weighted Majority Decision among Several Region Rules for Scientific Discovery
Hierarchical Expert Profiling Using Heterogeneous Information Networks
Discover Risky Active Faults by Indexing an Earthquake Sequence
Periodical Skeletonization for Partially Periodic Pattern Mining
Normal Form Transformation for Object Recognition Based on Support Vector Machines
Query Initiated Discovery of Interesting Association Rules
Automatic Human-Like Detection of Code Smells
Discovering Mentorship Information from Author Collaboration Networks
Interpretable Latent Space to Enable Counterfactual Explanations
Fast and Understandable Nonlinear Supervised Dimensionality Reduction
Polynomial Delay and Space Discovery of Connected and Acyclic Sub-hypergraphs in a Hypergraph
Association Rules and Dempster-Shafer Theory of Evidence
Iterative Naive Bayes
Constrained Clustering via Post-processing
Local Exceptionality Detection in Time Series Using Subgroup Discovery: An Approach Exemplified on Team Interaction Data
SEuS: Structure Extraction Using Summaries
Mining Subtrees with Frequent Occurrence of Similar Subtrees
Knowledge Discovery as Applied to Music: Will Music Web Retrieval Revolutionize Musicology?
Interpretable Data Partitioning Through Tree-Based Clustering Methods
Discovery of User Preference in Personalized Design Recommender System through Combining Collaborative Filtering and Content Based Filtering
Ranking Structured Objects with Graph Neural Networks
Datascape Survey Using the Cascade Model
Explaining Crash Predictions on Multivariate Time Series Data
Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings
Integrating Domain Knowledge in Equation Discovery
Mitigating Discrimination in Clinical Machine Learning Decision Support Using Algorithmic Processing Techniques
A Tabu Clustering Method with DHB Operation and Mergence and Partition Operation
Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction
Shapley-Value Data Valuation for Semi-supervised Learning
Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings
Digital Twins of Natural Resources in the Loire Valley
Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets
Extraction Positive and Negative Keywords for Web Communities
Interesting Patterns Extraction Using Prior Knowledge
Extracting Modal Implications and Equivalences from Cognitive Minds
A New Family of String Classifiers Based on Local Relatedness