yusuke1997/dblp-id-title huggingface dataset:
Process Algebra and Markov Chains
Stochastic Activity Networks: Formal Definitions and Concepts
Non-Markovian Analysis
Distributed and Structured Analysis Approaches to Study Large and Complex Systems
Development of Embedded Software at ICT
Proof-Based System Engineering and Embedded Systems
Constructing Automata from Temporal Logic Formulas: A Tutorial
Engineering of Real-Time Systems with an Experiment in Hybrid Control
Markovian Models for Performance and Dependability Evaluation
A Design Notation and Toolset for High-Performance Embedded Systems Development
Verification of Randomized Distributed Algorithms
Formal Methods for Performance Evaluation
Concept Convergence in Empirical Domains
Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques
Mapping Ontologies in an Air Pollution Monitoring and Control Agent-Based System
Computationally Efficient Heuristics for If-Then Rule Extraction from Freed-Forward Neural Networks
A Framework for Knowledge Discovery in a Society of Agents
FHA: Fast Heuristic Attack Against Graph Convolutional Networks
Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity
Spherical Horses and Shared Toothbrushes: Lessons Learned from a Workshop on Scientific and Technological Thinking
Leveraging Reproduction-Error Representations for Multi-Instance Classification
Discovery Science - 13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010. Proceedings
Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases
On the Number of Clusters in Cluster Analysis
Explaining Image Classifiers with Visual Debates
Invention vs. Discovery
Robust Crowd Labeling Using Little Expertise
Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams
OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process
Resolution Transfer in Cancer Classification Based on Amplification Patterns
Pattern Classification via Single Spheres
Controlled Permutations for Testing Adaptive Classifiers
Towards an Ontology of Data Mining Investigations
Parallel Organization Algorithm for Graph Matching and Subgraph Isomorphism Detection
Visual Knowledge Discovery in Paleoclimatology with Parallel Coordinates
Detecting New Kinds of Patient Safety Incidents
An Evaluation of Score Descriptors Combined with Non-linear Models of Expressive Dynamics in Music
Optimal Discovery of Subword Associations in Strings
Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning
Discovery Science, 7th International Conference, DS 2004, Padova, Italy, October 2-5, 2004, Proceedings
A Semi-supervised Framework for Misinformation Detection
A Simple Method for Classifier Accuracy Prediction Under Prior Probability Shift
On the Boosting Algorithm for Multiclass Functions Based on Information-Theoretic Criterion for Approxiamtion
Learning Locally Weighted C4.4 for Class Probability Estimation
Differentially Private Empirical Risk Minimization with Input Perturbation
Rule Stacking: An Approach for Compressing an Ensemble of Rule Sets into a Single Classifier
Enhancing BMI-Based Student Clustering by Considering Fitness as Key Attribute
A Study on the Effect of Class Distribution Using Cost-Sensitive Learning
Seamlessly Supporting Combined Knowledge Discovery and Query Answering: A Case Study
Aspect-Based Few-Shot Learning
Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection
On the Feasibility of Discovering Meta-Patterns from a Data Ensemble
Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments
Discovering Characteristic Patterns from Collections of Classical Japanese Poems
Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics
A Definition of Discovery in Terms of Generalized Descriptional Complexity
Subspace Discovery for Promotion: A Cell Clustering Approach
Fast Distance-Based Anomaly Detection in Images Using an Inception-Like Autoencoder
Online Gradient Boosting for Incremental Recommender Systems
Feature Transformation and Multivariate Decision Tree Induction
Towards AI-Based Data Analytics for Environmental Monitoring
Social Isolation, Digital Connection: COVID-19's Impact on Twitter Ego Networks
Antipattern Discovery in Ethiopian Bagana Songs
Mining Adaptation Rules from Cases in CBR Systems
Finding Probabilistic Rule Lists using the Minimum Description Length Principle
The Continuous-Function Attribute Class in Decision Tree Induction
Performance Evaluation of Decision Tree Graph-Based Induction
Learning Ensembles of Process-Based Models by Bagging of Random Library Samples
Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution
Information Theory and Classification Error in Probabilistic Classifiers
Efficient Mining of Association Rules with Item Constraints
A Structuralist Approach Towards Computational Scientific Discovery
Incorporating Engineering Formalisms into Automated Model Builders
Meta-analysis of Mutagenes Discovery
The Coherent Multi-representation Problem for Protein Structure Determination
Enhancing Recommendation Systems' Performance with Network-Oriented Negative Sampling
Language Learning with a Neighbor System
HTML-LSTM: Information Extraction from HTML Tables in Web Pages Using Tree-Structured LSTM
Evaluating the Reliability of Self-explanations in Large Language Models
Enumerating Maximal Clique Sets with Pseudo-Clique Constraint
Using Data Mining Techniques to Analyze Facial Expression Motion Vectors
Assignment of Unexpected Tasks in Embedded System Design Process Using Genetic Programming
Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming
Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification
Link Prediction with Text in Online Social Networks: The Role of Textual Content on High-Resolution Temporal Data
Measuring the Inspiration Rate of Topics in Bibliographic Networks
Mining a Maximum Weighted Set of Disjoint Submatrices
Detecting and Revising Misclassifications Using ILP
Extraction of Primitive Motion for Human Motion Recognition
A Contextual Bandit Algorithm for Recommending Item Sets with High Sum Diversity
Knowledge Navigation on Visualizing Complementary Documents
Toward Genomic Hypothesis Creator: View Designer for Discovery
Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features
Discovering Implicit Feedbacks from Search Engine Log Files
Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning
Predicting Wildfires - Propositional and Relational Spatio-Temporal Pre-processing Approaches
Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification
Post-processing Operators for Browsing Large Sets of Association Rules
Graph evolution rules for node temporal behavior representation
Topic Extraction on Twitter Considering Author's Role Based on Bipartite Networks
A Genetic Algorithm for Inferring Pseudoknotted RNA Structures from Sequence Data
Coping the Challenge of Mutagenes Discovery with GUHA+/- for Windows
Discovering Best Variable-Length-Don't-Care Patterns
An Assessment on Loan Performance from Combined Quantitative and Qualitative Data in XML
OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data
Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity
Exploiting the Web for Semantic Change Detection
Elliptical Ordinal Embedding
Enhanced Food Safety Through Deep Learning for Food Recalls Prediction
An Efficient Rules Induction Algorithm for Rough Set Classification
A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
An Efficient Polynomial Delay Algorithm for Pseudo Frequent Itemset Mining
Characteristic Sets of Strings Common to Semi-structured Documents
Class Balanced Similarity-Based Instance Transfer Learning for Botnet Family Classification
Combination Retrieval for Creating Knowledge from Sparse Document Collection
Discovery Science - 27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part I
Precision and Recall for Regression
Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method
Effective Classifier Pruning with Rule Information
FoodSEM: Large Language Model Specialized in Food Named-Entity Linking
A Graphical Method for Parameter Learning of Symbolic-Statistical Models
Knowledge Discovery in Biological and Chemical Domains
Contrasting Sequence Groups by Emerging Sequences
A Universal Approach for Post-correcting Time Series Forecasts: Reducing Long-Term Errors in Multistep Scenarios
Detection of the Structure of Particle Velocity Distribution by Finite Mixture Distribution Model
Detecting Transmembrane Proteins Using Decision Trees
Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links
Deep Convolutional Embedding for Painting Clustering: Case Study on Picasso's Artworks
CorClass: Correlated Association Rule Mining for Classification
Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings
The Discovery of Rules from Brain Images
Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P Satellite
From Reviews to Results: Generative AI for Review-Driven Product and Service Comparisons
Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings
ITERADE - ITERative Anomaly Detection Ensemble for Credit Card Fraud Detection
Resource-Constrained Binary Image Classification
Parameter-Less Tensor Co-clustering
Discovering Frequent Structured Patterns from String Databases: An Application to Biological Sequences
Online Co-regularized Algorithms
Urban Digital Twin for Territorial Management
A Risk-Cost Analysis for an Increasingly Widespread Monitoring of Railway Lines
Extracting Positive Attributions from Scientific Papers
Finding Meaningful Regions Containing Given Keywords from Large Text Collections
Mining Intervals of Graphs to Extract Characteristic Reaction Patterns
Shorter Rules Are Better, Aren't They?
Bacterium Lingualis? The Web-Based Commonsensical Knowledge Discovery Method
Finding Frequent Patterns from Compressed Tree-Structured Data
CLASSIC'CL: An Integrated ILP System
Time Series Regression in Professional Road Cycling
Automatic Acquisition of Image Processing Procedures from Sample Sets of Classified Images Based on Requirement of Misclassification Rate
Computing a Comprehensible Model for Spam Filtering
Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining
String Kernels Based on Variable-Length-Don't-Care Patterns
Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain
A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation
A New Clustering Algorithm Based On Cluster Validity Indices
Enumerating Maximal Frequent Sets Using Irredundant Dualization
Smoothness Prior Approach to Explore the Mean Structure in Large Time Series Data
Towards a Method of Searching a Diverse Theory Space for Scientific Discovery
A Voronoi Diagram Approach to Autonomous Clustering
Gene Selection for Classifying Microarray Data Using Grey Relation Analysis
HSIM: A Supervised Imputation Method for Hierarchical Classification Scenario
Cooperative Deep Unsupervised Anomaly Detection
Fairness-Aware Mixture of Experts with Interpretability Budgets
An Algorithm for Mining Implicit Itemset Pairs Based on Differences of Correlations
From Visualization to Interactive Animation of Database Records
Learning Hierarchical Multi-label Classification Trees from Network Data
Symbolic Graph Embedding Using Frequent Pattern Mining
Fast Computation of the Tree Edit Distance between Unordered Trees Using IP Solvers
On the Ranking of Variable Length Discords Through a Hybrid Outlier Detection Approach
Using WWW-Distribution of Words in Detecting Peculiar Web Pages
"Tell Me More": Finding Related Items from User Provided Feedback
Approximate Retrieval of High-Dimensional Data by Spatial Indexing
Privacy Problems with Anonymized Transaction Databases
Efficient Incremental Mining of Top-K Frequent Closed Itemsets
A Logic of Discovery
A Comparison between Neural Network Methods for Learning Aggregate Functions
Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach
Stacking Label Features for Learning Multilabel Rules
Missing Value Imputation with MERCS: A Faster Alternative to MissForest
Learning Large Margin First Order Decision Lists for Multi-Class Classification
Pharmacophore Knowledge Refinement Method in the Chemical Structure Space
Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids
Finding the k -Most Abnormal Subgraphs from a Single Graph
General Meta-Model Framework for Surrogate-Based Numerical Optimization
Unsupervised Key-Phrase Extraction from Long Texts with Multilingual Sentence Transformers
A Parameter-Free Method for Discovering Generalized Clusters in a Network
Multilayer Clustering: A Discovery Experiment on Country Level Trading Data
WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews
A Critical Node-Centric Approach to Enhancing Network Security
Text Data Clustering by Contextual Graphs
Constructive Inductive Learning Based on Meta-attributes
KATRec: Knowledge Aware aTtentive Sequential Recommendations
Structural Change Pattern Mining Based on Constrained Maximal k-Plex Search
Application of Discovery Science to Solar-Terrestrial Physics
Selective Forgetting for Incremental Matrix Factorization in Recommender Systems
Graph Classification Based on Optimizing Graph Spectra
Multimodal Heterogeneous Transfer Learning for Multilingual Image-Text Classification
Fast NML Computation for Naive Bayes Models
Learning Conformation Rules
Explaining Anomalous Data with Reinforcement Learning
Bounding Negative Information in Frequent Sets Algorithms
Feature Selection for Analogy-Based Learning to Rank
Option Predictive Clustering Trees for Hierarchical Multi-label Classification
Shapley Chains: Extending Shapley Values to Classifier Chains
Unsupervised Feature Ranking via Attribute Networks
Explaining Siamese Networks in Few-Shot Learning for Audio Data
Extraction of Coverings as Monotone DNF Formulas
Discovery Science - 27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part II
Unit Volume Based Distributed Clustering Using Probabilistic Mixture Model
Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption
Toward Streamlining the Evaluation of Novelty Detection in Data Streams
A Hybrid Approach for Chinese Named Entity Recognition
Biochemical Knowledge Discovery Using Inductive Logic Programming
Symmetric Item Set Mining Based on Zero-Suppressed BDDs
EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories
Dispersion of Personal Spaces
Search for New Methods for Assignment of Complex Molecular Spectra
Score Matching on Large Geometric Graphs for Cosmology Generation
Racing Committees for Large Datasets
Checking Scientific Assumptions by Modeling
Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks
KnowBots: Discovering Relevant Patterns in Chatbot Dialogues
Detecting Concept Drift Using Statistical Testing
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation
Rule Discovery Technique Using GP with Crossover to Maintain Variety
Automatic Extraction of Proteins and Their Interactions from Biological Text
Human Discovery Processes Based on Searching Experiments in Virtual Psychological Research Environment
Discovering Communicable Models from Earth Science Data
Mining Frequent Itemsets with Category-Based Constraints
Computational Revision of Quantitative Scientific Models
Analysing the Trade-Off Between Comprehensibility and Accuracy in Mimetic Models
A Novel AI Approach for the Diagnosis of Alzheimer's Disease from Multi-modal Incomplete Data
Discovering User Preferences by Using Time Entries in Click-Through Data to Improve Search Engine Results
Descriptive Modeling of Systemic Banking Crises
Burst Detection in a Sequence of Tweets Based on Information Diffusion Model
Clustering Rules Using Empirical Similarity of Support Sets
Incorporating a Navigation Tool into a WWW Browser
Discovery of Cellular Automata Rules Using Cases
Attention in Recurrent Neural Networks for Energy Disaggregation
Statistical Analysis of Pairwise Connectivity
"Thermodynamics" from Time Series Data Analysis
Discovery of M-of-N Concepts for Classification
Handling the Challenges of Microbiome Data through Supervised Autoencoders for the Non-invasive Disease Diagnosis
Model-Based Estimation of Word Saliency in Text
Efficient Local Search in Conceptual Clustering
Computational Discovery in Pure Mathematics
Feature Selection Using Consistency Measure
Knowledge-Guided Additive Modeling for Supervised Regression
Adaptive Long-Term Ensemble Learning from Multiple High-Dimensional Time-Series
Constructing Approximate Informative Basis of Association Rules
Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns
Towards Finding Relational Redescriptions
Pairwise Difference Learning for Classification
Finding Significant Web Pages with Lower Ranks by Pseudo-Clique Search
Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space
Large Language Models-Based Local Explanations of Text Classifiers
Predicting and Explaining Privacy Risk Exposure in Mobility Data
Support Vector Inductive Logic Programming
Open-Set Named Entity Recognition: A Preliminary Study
Ensembles of Classifiers and Quantifiers with Data Fusion for Quantification Learning
A Comparison of Different Data Transformation Approaches in the Feature Ranking Context
Mining Disjoint Sequential Pattern Pairs from Tourist Trajectory Data
Faithfulness of Local Explanations for Tree-Based Ensemble Models
Clustering Based Active Learning for Evolving Data Streams
Multi-interval Discretization of Continuous Attributes for Label Ranking
Composing Inductive Applications Using Ontologies for Machine Learning
Regression Trees from Data Streams with Drift Detection
Algorithm Selection on Data Streams
Cluster Analysis in Remote Sensing Spectral Imagery through Graph Representation and Advanced SOM Visualization
The Effects of Shift Generation on Staff Rostering
Investigating Delays of Combined Feature and Label Acquisitions on Data Streams
Exploring Data Point Interactions: A Dual Representation Approach for Enhanced Machine Learning
Iterative Reordering of Rules for Building Ensembles Without Relearning
One-Class Ensembles for Rare Genomic Sequences Identification
Discovery of Web Communities from Positive and Negative Examples
On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets
Using Genetic Algorithms-Based Approach for Better Decision Trees: A Computational Study
A Semi-supervised Approach to Measuring User Privacy in Online Social Networks
Databases Reduction Simultaneously by Ordered Projection
Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction
Comparative Study of Automatic Acquisition Methods of Image Processing Procedures
HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers
CNP-MLDM: Contract Net Protocol for Negotiation in Machine Learning Data Market
Exceptional Preferences Mining
Fourier-Based Parametrization of Convolutional Neural Networks for Robust Time Series Forecasting
Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification
Iterative Multi-mode Discretization: Applications to Co-clustering
Option Predictive Clustering Trees for Multi-target Regression
Clustering-Based Optimised Probabilistic Active Learning (COPAL)
Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss
Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms
Weighted Majority Decision among Region Rules for a Categorical Dataset
Practical Algorithms for On-line Sampling
Monotone Classification by Function Decomposition
A Combinatorial Multi-Armed Bandit Based Method for Dynamic Consensus Community Detection in Temporal Networks
Learning Ontology-Aware Classifiers
Variance-Based Feature Importance in Neural Networks
InterSet: Interactive Redescription Set Exploration
Deep Learning Does Not Generalize Well to Recognizing Cats and Dogs in Chinese Paintings
Extracting Opinionated (Sub)Features from a Stream of Product Reviews
An Appropriate Abstraction for Construction a Compact Decision Tree
Discovering Rich Navigation Patterns on a Web Site
Science-Gym: A Simple Testbed for AI-Driven Scientific Discovery
The Extra-Theoretical Dimension of Discovery. Extracting Knowledge by Abduction
Automatic Acquisition of Phoneme Models and Its Application to Phoneme Labeling of a Large Size of Speech Corpus
Interactive Exploration of Time Series Data
The CURE for Class Imbalance
FairNN - Conjoint Learning of Fair Representations for Fair Decisions
Reasoning-Based Knowledge Extraction for Text Classification.
Discovery Science - 16th International Conference, DS 2013, Singapore, October 6-9, 2013. Proceedings
Discovering Influential Nodes for SIS Models in Social Networks
Automatic and Accurate Determination of the Onset Time of the Quasi-periodic Oscillation
Anomaly Detection in Networks with Temporal Information
Network Effects on Tweeting
Predictive Analysis on Tracking Emails for Targeted Marketing
An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules
On-Line Estimation of Hidden Markov Model Parameters
An Automatic Acquisition of Acoustical Units for Speech Recognition Based on Hidden Markov Network
An Analysis of Performance Metrics for Imbalanced Classification
Literature-Based Discovery by an Enhanced Information Retrieval Model
Fast and Scalable Image Retrieval Using Predictive Clustering Trees
Learning Bayesian Network Equivalence Classes from Incomplete Data
Policy Evaluation with Delayed, Aggregated Anonymous Feedback
Similarity Learning for Spectral Clustering
iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression
On Approximating Minimum Infrequent and Maximum Frequent Sets
WAIT, I Can Explain! Introducing Weighted AI Integration for Tailored Explanations
Privacy Risk Assessment of Individual Psychometric Profiles
The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods
Regularization of Linear Regression Models in Various Metric Spaces
Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web Logs
Investigating Parallelization of MAML
Generalized Shortest Path Kernel on Graphs
Modeling the Temperature of Hot Rolled Steel Plate with Semi-supervised Learning Methods
Experiences from a Socio-economic Application of Induction Trees
Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm
Linear Programming Boosting by Column and Row Generation
Passage-Based Document Retrieval as a Tool for Text Mining with User's Information Needs
Discovering Ecosystem Models from Time-Series Data
The q -Gram Distance for Ordered Unlabeled Trees
Neurodegenerative Disease Data Ontology
Canonical Correlation Methods for Exploring Microbe-Environment Interactions in Deep Subsurface
Latent Topic Extraction from Relational Table for Record Matching
Mining Rank Data
Rules Extraction by Constructive Learning of Neural Networks and Hidden-Unit Clustering
Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle
Discovery Science - 28th International Conference, DS 2025, Ljubljana, Slovenia, September 23-25, 2025, Proceedings
Privacy-Preserving Learning of Random Forests Without Revealing the Trees
Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars