yusuke1997/dblp-id-title huggingface dataset:
FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation
Behavioural Clustering by Extensive Declarative Specifications Measurements (Extended Abstract)
Work Tagger: A Labelling Companion
Detecting Complex Anomalous Behaviors in Business Processes: A Multi-perspective Conformance Checking Approach
Transforming Process Mining: A Transformer-Based Approach to Semantic Clustering in Event Log Analysis
Ebi - a Stochastic Process Mining Framework
Selecting Representative Sample Traces from Large Event Logs
Revealing One-to-Many Event Relationships in Event Knowledge Graphs
Discovering Automata Models Tailored for the Control of Discrete Event Systems
Clinical Event Knowledge Graphs: Enriching Healthcare Event Data with Entities and Clinical Concepts - Research Paper
Explainable Process Prescriptive Analytics
Leveraging Event Data for Measuring Process Complexity
Task-Free Continual Learning with Dynamic Loss for Online Next Activity Prediction
iGEDI: interactive Generating Event Data with Intentional Features
Complex-Event Mining Over Centralized and Distributed Data Streams
Modeling Extraneous Activity Delays in Business Process Simulation
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction
Object-Centric Local Process Models
Exploring the Impact of Process Diversity on Business Process Performance (Extended Abstract)
Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis
Performance Skyline: Inferring Process Performance Models from Interval Events
Time-aware Concept Drift Detection Using the Earth Mover's Distance
An Intent-Based Natural Language Interface for Querying Process Execution Data
Traceability in Process Analysis
CaseID Detection for Process Mining: A Heuristic-Based Methodology
Differentially Private Inductive Miner
Orion: Discovering and Exploring Change Patterns in Dynamic Event Attributes
Skill Learning Using Process Mining for Large Language Model Plan Generation
Declare MoGeS: Model Generator and Specializer
A Bridging Model for Process Mining and IoT
Process Mining on Curriculum-Based Study Data: A Case Study at a German University
Entropia: Measuring Log Representativeness and Generalization of Discovered Process Models
Mining Uncertain Event Data in Process Mining
Analysing Disease Trajectories of Multimorbidity Through Process Mining Techniques: A Case Study
Konekti: A Data Preparation Platform for Process Mining (Extended Abstract)
International Conference on Process Mining, ICPM 2019, Aachen, Germany, June 24-26, 2019
Predicting Patient Care Acuity: An LSTM Approach for Days-to-day Prediction
Discovery and Simulation of Data-Aware Business Processes
EduClare - An Intelligent Tutoring Chatbot for Teaching Declarative Process Modeling
Clustering Analysis and Frequent Pattern Mining for Process Profile Analysis: An Exploratory Study for Object-Centric Event Logs
Prescriptive Analytics for Business Processes Using Causal Inference (Extended Abstract)
VDD: A Visual Drift Detection System for Process Mining
Wasserstein Weight Estimation for Stochastic Petri Nets
Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling
Verifying Guideline Compliance in Clinical Treatment Using Multi-perspective Conformance Checking: A Case Study
Repairing Soundness Properties in Data-Aware Processes
Event Log Generation in MIMIC-IV Research Paper
Using Facial Expressions to Predict Process Mining Task Performance
Analysing and Improving Business Processes Through Hybrid Simulation Model: A Case Study
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study - Case Study
Using Process Mining to Explore the Impact of Socio-economic Status on the Treatment of Musculoskeletal Disorders - A Case Study
Attribute-Based Conformance Diagnosis: Correlating Trace Attributes with Process Conformance
Towards Evidence-Based Analysis of Palliative Treatments for Stomach and Esophageal Cancer Patients: a Process Mining Approach
Event Log Sampling for Predictive Monitoring
Detect and Conquer: Template-Based Analysis of Processes Using Complex Event Processing
Conformance Checking Approximation Using Simulation
CauseCheck: A Tool for Simulating Deviations in Event Logs with Known Root Causes
Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), Bolzano, Italy, October, 2022
A Fresh Approach to Analyze Process Outcomes
Process Mining for Analyzing Open Questions Computer-Aided Examinations
The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients
Estimating the Impact of Incidents on Process Delay
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring
Discovering Compact, Live and Identifier-Sound Object-Centric Process Models
On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization
Extensions to the bupaR Ecosystem: An Overview
Discovering Students' Learning Strategies in a Visual Programming MOOC Through Process Mining Techniques
Improving the Extraction of Process Annotations from Text with Inter-sentence Analysis
Discovering Declarative Process Model Behavior from Event Logs via Model Learning
LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs
Combining the Clinical and Operational Perspectives in Heterogeneous Treatment Effect Inference in Healthcare Processes
Discovery and Simulation of Business Processes with Probabilistic Resource Availability Calendars
Domain-Driven Event Abstraction Framework for Learning Dynamics in MOOCs Sessions
Evidence-Based Student Career and Performance Analysis with Process Mining: A Case Study
Music Score Analysis with Process Mining (Extended Abstract)
A Novel Approach to Discover Switch Behaviours in Process Mining
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks
Enhancing the Applicability of the eST-Miner: Efficient Precision-Guided Implicit Place Avoidance
A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset
Aspect Optimalization of Robotic Process Automation (Extended Abstract)
An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining
Discovering an S-Coverable WF-net using DiSCover
Building Process Mining Dashboards Manually or AI-assisted with Celonis Views
DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach
Predicting Remaining Cycle Time from Ongoing Cases: A Survival Analysis-Based Approach
Process Analysis with bupaR 0.5.0: What's New? (Extended Abstract)
TOAD: Trace Ordering for Anomaly Detection
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques
Case Study: Insights on Prostate Cancer Treatment Pathways Using Process Discovery
Towards Accurate Predictions in ITSM: A Study on Transformer-Based Predictive Process Monitoring
Research Paper: Enhancing Healthcare Decision-Making with Analogy-Based Reasoning
Let's Simply Count: Quantifying Distributional Similarity Between Activities in Event Data
Interactive Process Mining Applied in a Cardiology Outpatient Department
Generating the Traces You Need: A Conditional Generative Model for Process Mining Data
Breaking Down Barriers with Knowledge Graphs: Data Integration for Cross-Organizational Process Mining
Ranking the Top-K Realizations of Stochastically Known Event Logs
Towards a Natural Language Conversational Interface for Process Mining
An A * -Algorithm for Computing Discounted Anti-Alignments in Process Mining
Understanding the Impact of Design Choices on the Performance of Predictive Process Monitoring
The Need for Interactive Data-Driven Process Simulation in Healthcare: A Case Study
Bringing Rigor to the Qualitative Evaluation of Process Mining Findings: An Analysis and a Proposal
Efficient Approximate Conformance Checking Using Trie Data Structures
Apromore Compliance Center: A No-Code Solution to Process Compliance Management
A Taxonomy for Conformance Checking Visualizations
Discovering Break Behaviours in Process Mining: An Application to Discover Treatment Pathways in ICU of Patients with Acute Coronary Syndrome
Combining Process Mining and Simulation to Guide Users Towards Process Improvement in mpmX
Process Mining of Logged Gaming Behavior
Root Cause Analysis in Process Mining with Probabilistic Temporal Logic
Towards next-location prediction for process executions
Stochastic Process Discovery by Weight Estimation
Process Mining on FHIR - An Open Standards-Based Process Analytics Approach for Healthcare
Multidimensional Process Model Forecasting (MuDiPMF)
Process Mining on Blockchain Data (Extended Abstract)
Enhancing Clinical Insights: Knowledge-Intensive and Context-Sensitive Process Instance Visualization in Health Care
Multimodal Process Prediction (Extended Abstract)
Modeling and Discovering Dynamic Identity Relations in Object-Centric Process Mining
Likelihood-based Multiple Imputation by Event Chain Methodology for Repair of Imperfect Event Logs with Missing Data
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining
Precision and Fitness in Object-Centric Process Mining
A Classification of Data Quality Issues in Object-Centric Event Data
Defining Data Quality Issues in Process Mining with IoT Data
Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees
Exploration with Process Mining on How Temperature Change Affects Hospital Emergency Departments
Building User Journey Games from Multi-party Event Logs
Robust Discovery of Complex Process-Structures (Extended Abstract)
Can We Leverage Process Data from ERP Systems for Business Process Sustainability Analyses?
LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Mining
Process Discovery Using Graph Neural Networks
CaLenDiR: Mitigating Case-Length Distortion in Deep-Learning-Based Predictive Process Monitoring
Optimizing the Discharge Planning Process in a Dutch Hospital
Interactive Data-Driven Business Process Simulation (Extended Abstract)
Process Mining Workshops - ICPM 2024 International Workshops, Lyngby, Denmark, October 14-18, 2024, Revised Selected Papers
Uncovering Change: A Streaming Approach for Declarative Processes
Hypothesis Testing for Processes
Mining Behavioural Patterns from Event Data to Enable Context-Aware Root Cause Analysis (Extended Abstract)
Grouping Local Process Models
Explainable and Responsible Process Prescriptive Analytics (Extended Abstract)
Analyzing Multi-level BOM-Structured Event Data
Predicting Unplanned Hospital Readmissions Using Outcome-Oriented Predictive Process Mining
Identifying Candidate Routines for Robotic Process Automation from Unsegmented UI Logs
Ontology-Based Multi-perspective Process Mining in Laboratories: A Case Study
Root Cause Analysis Using Rule Mining on Object-Centric Event Logs
A Generic Framework for Trace Clustering in Process Mining
Monotone Conformance Checking for Partially Matching Designed and Observed Processes
Multi-Dimensional Performance Analysis and Monitoring Using Integrated Performance Spectra
CC-HIT: Creating Counterfactuals from High-Impact Transitions
OTOSO: Online Trace Ordering for Structural Overviews
Multivariate Approaches for Process Model Forecasting
ProM4Py - A Python Wrapper For The ProM Framework
A Preliminary Study on the Application of Reinforcement Learning for Predictive Process Monitoring
Noise and Outlier Detection in Task Mining
Multi-Perspective Analysis of Process Dynamics (Extended Abstract)
Discrimination-Aware Process Mining: A Discussion
declare-js: A Web-Based Viewer and Editor for Declarative Process Models
Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024), Copenhagen, Denmark, October 15, 2024
PaPPI: Privacy-aware Process Performance Indicators (Extended Abstract)
Assessing Software Development Teams' Efficiency using Process Mining
Leveraging the Full Potential of Conformance Checking in Practice
Event Log Extraction: How to Minimize the Effort of the Human-in-the-Loop? (Extended Abstract)
A Context Framework for Sense-making of Process Mining Results
Deep Reinforcement Learning for Resource Allocation in Business Processes
SuTraN: an Encoder-Decoder Transformer for Full-Context-Aware Suffix Prediction of Business Processes
Event Knowledge Graphs for Auditing: A Case Study
Do You Behave Always the Same? - A Process Mining Approach
Discovery of Object-Centric Declarative Models
M-viz: A Tool for the Step-by-step Visualization of the Inductive Miner
Structuring Empirical Research on Process Mining at the Individual Level Using the Theory of Effective Use
Distributed Event Factory: A Tool for Generating Event Streams on Distributed Data Sources
Process Mining-Based Goal Recognition (Extended Abstract)
Classifying process deviations with weak supervision
Stochastic Conformance Checking Based on Expected Subtrace Frequency
Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks
ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods
Understanding and Improving Process Analysts' Comprehension of Process Mining Visualizations
Sustainability Analysis Patterns for Process Mining and Process Modelling Approaches
Towards semantic-driven declarative and interactive Process Mining
Sampling What Matters: Relevance-guided Sampling of Event Logs
Process Mining Techniques for Collusion Detection in Online Exams
From OCEL to DOCEL - Datasets and Automated Transformation
An Open-Source Integration of Process Mining Features Into the Camunda Workflow Engine: Data Extraction and Challenges
Stochastic Object-Centric Process Mining: Analysing Object Interaction Patterns
ProLift: Automated Discovery of Causal Treatment Rules From Event Logs (Extended Abstract)
Streaming Process Mining with Beamline (Extended Abstract)
Leveraging a foundation deep neural embedding in process discovery under not-Pareto distribution
Business Process Deviation Prediction: Predicting Non-Conforming Process Behavior
A Survey on the Application of Process Mining to Smart Spaces Data
Mapping Artifact-Driven Monitoring Results Back to BPMN Process Diagrams
Identifying the Steps in an Exploratory Data Analysis: A Process-Oriented Approach
Supervised Conformance Checking Using Recurrent Neural Network Classifiers
Trident: Generating Noisy Synthetic Processes with Ground Truth
Improving Alignment Computation using Model-based Preprocessing
Creating Translucent Event Logs to Improve Process Discovery
Temporal GNNs for Remaining Time Prediction: An Evaluation
Genetic Algorithms for AutoML in Process Predictive Monitoring
Object-Centric process mining for process analysis and operational support
Unlocking Success in Process Mining Adoption: A Comprehensive Exploration of Human Resources and Team Configurations
Constructive Alignment in Process Mining
Scalable Mixed-Paradigm Trace Clustering using Super-Instances
Ex-Post Identification of Task Models With Causally Ordered User Interface Logs (Extended Abstract)
Terpsichora: A Tool to Generate Synthetic MP-Declare Process Models
Process Mining over Unordered Event Streams
ASP-Based Log Generation with Purposes in Declare4Py
LLMs and Process Mining: Challenges in RPA - Task Grouping, Labelling and Connector Recommendation
Prime Miner - Process Discovery using Prime Event Structures
Probabilistic Trace Alignment
PRETSA: Event Log Sanitization for Privacy-aware Process Discovery
Directly Follows-Based Process Mining: Exploration & a Case Study
Differentially Private Event Logs with Case Attributes
A Process Mining Software Comparison
Privacy-Preserving Process Mining with PM4Py (Extended Abstract)
Applying the Method of Reflections through an Event Log for Evidence-based Process Innovation
xPM: A Framework for Process Mining with Exogenous Data
Alignment Approximation for Process Trees
Events Put into Context (EPiC)
Conformance Checking on Out-of-Order Streams (Extended Abstract)
Cross-Organizational Analysis of Parliamentary Processes: A Case Study
User-Friendly Data Extraction and Event Log Building for Process Mining
A Framework for Implementing Process Mining and Robotic Process Automation in Organizations (Extended Abstract)
CONFINE: Preserving Data Secrecy in Decentralized Process Mining
Discovering Care Pathways for Multi-morbid Patients Using Event Graphs
Mining Statistical Relations for Better Decision Making in Healthcare Processes
Decomposing Process Performance based on Actor Behavior
Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), Padua, Italy, October 4-9, 2020
SWORD Extractor Pulling Workarounds out the Eventlog
Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach
Patient Discharge Classification Based on the Hospital Treatment Process
IMPresseD: Outcome-Oriented Interactive Multi-Interest Process Pattern Discovery Tool
Class Incremental Learning with Drift Detection and Data Augmentation for Dynamic Processes
Transformer for Predictive and Prescriptive Process Monitoring in IT Service Management (Extended Abstract)
Skip Probabilities for Subprocesses
Explainable Prescriptive Process Analytics (Extended Abstract)
Structural Process Variety and Standardization
PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks
RIMS_tool: a Hybrid Simulator for Business Processes
Deriving a Sophisticated Clinical Pathway Based on Patient Conditions from Electronic Health Record Data
Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining
SAMPLE: A Semantic Approach for Multi-perspective Event Log Generation
Weighted Violations in Alignment-Based Conformance Checking
Process Mining on Uncertain Event Data (Extended Abstract)
Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), Rome, Italy, October 27, 2023
Aggregating Event Knowledge Graphs for Task Analysis
Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring
Partial MaxSAT Computation of Conformance Checking Artefacts
Inductive Context-aware Process Discovery
Why and How Should We Explain AI?
Towards a Social Artificial Intelligence
Human-Centered Artificial Intelligence - Advanced Lectures, 18th European Advanced Course on AI, ACAI 2021, Berlin, Germany, October 11-15, 2021, extended and improved lecture notes
An Introduction to Ethics and AI
Interactive Robot Learning: An Overview
The Advanced Course on Human-Centered AI: Learning Objectives
Transformers in Automatic Speech Recognition
Machine Learning with Neural Networks
Transformers in Natural Language Processing
Computational Argumentation & Cognitive AI
Argumentation in AI
Conceptual Foundations of Human-Centric AI
Explainable for Trustworthy AI
Writing Science Fiction as an Inspiration for AI Research and Ethics Dissemination
Vision and Multi-modal Transformers
Artificial Visual Intelligence - Perceptual Commonsense for Human-Centred Cognitive Technologies
Agent-Based Social Simulation for Policy Making
Generative Networks and the AutoEncoder
Operationalising AI Ethics: Conducting Socio-technical Assessment
Mythical Ethical Principles for AI and How to Attain Them
Cooperative Update: A New Model for Dependable Live Update
A Language Model for Dynamic Code Updating
An Implementation of the Linux Software Repository Model for Other Operating Systems
Introspecting Continuations in Order to Update Active Code
A study of dynamic software update quiescence for multithreaded programs
Dynamic Software Updates: The State Mapping Problem
Safe and automated state transfer for secure and reliable live update
Lightweight Framework for Runtime Updating of C-Based Software in Embedded Systems
Package Upgrades In FOSS Distributions: Details And Challenges
Atomic Upgrading of Distributed Systems
5th Workshop on Hot Topics in Software Upgrades, HotSWUp'13, San Jose, CA, USA, June 28, 2013
Dynamic Software Updates for Real-Time Systems
Prototyping DSU Techniques Using Python
How to have your cake and eat it too: Dynamic software updating with just-in-time overhead
Atomic Dynamic Upgrades using software transactional memory
Verification of software changes with ExpliSAT
A generic approach for deploying and upgrading mutable software components
DynSec: On-the-fly Code Rewriting and Repair
Multi-version software updates
Theseus: Whole updates of java server applications
From Java To UpgradeJ: An Empirical Study
Automating Database Schema Evolution in Information System Upgrades
Overcoming JVM HotSwap Constraints Via Binary Rewriting
Resilient Software Mirroring With Untrusted Third Parties
On Performance of Delegation in Java
Fine-grained Patches for Java Software Upgrades
Rubah: Efficient, General-purpose Dynamic Software Updating for Java
Efficient Systematic Testing for Dynamically Updatable Software
Online Application Upgrade Using Edition-Based Redefinition
Migrating Protocols in Multi-Threaded Message-Passing Systems
Proceedings of the 2nd ACM Workshop on Hot Topics in Software Upgrades, HotSWUp 2009, Orlando, FL, USA, October 25, 2009
Consistently Applying Updates to Compositions of Distributed OSGi Modules
Issues in Applying a Model Driven Approach to Reconfigurations of Satellite Software
Proceedings of the 1st ACM Workshop on Hot Topics in Software Upgrades, HotSWUp 2008, Nashville, TN, USA, October 20, 2008
An Operating System Infrastructure for Remote Code Update in Deeply Embedded Systems
Towards standardized benchmarks for Dynamic Software Updating systems
4th International Workshop on Hot Topics in Software Upgrades, HotSWUp 2012, Zurich, Switzerland, June 3, 2012
Data Center Smart Grid Integration Considering Renewable Energies and Waste Heat Usage
Exploiting VM Migration for the Automated Power and Performance Management of Green Cloud Computing Systems
Energy Usage and Carbon Emission Optimization Mechanism for Federated Data Centers
Agile Traffic Merging for DCNs
A Simulator to Assess Energy-Saving Techniques in Content Distribution Networks
Building Application Profiles to Allow a Better Usage of the Renewable Energies in Data Centres
Performance and Energy Efficiency of Parallel Processing in Data Center Environments
Learning-based power prediction for data centre operations via deep neural networks
Impact of Workload and Renewable Prediction on the Value of Geographical Workload Management
Minimization of Costs and Energy Consumption in a Data Center by a Workload-Based Capacity Management
Modeling and Simulation of Data Center Energy-Efficiency in CoolEmAll
DNA-Inspired Scheme for Building the Energy Profile of HPC Systems
SLAs for Energy-Efficient Data Centres: The Standards-Based Approach of the OPTIMIS Project
Modeling Data Center Building Blocks for Energy-Efficiency and Thermal Simulations
Renewable Energy Aware Data Centres: The Problem of Controlling the Applications Workload
Energy-Efficient Data Centers - Second International Workshop, E 2 DC 2013, Berkeley, CA, USA, May 21, 2013. Revised Selected Papers
Optimizing the power factor of data centers connected to the smart grid
Evaluation process of demand response compensation models for data centers
GEYSER: Enabling Green Data Centres in Smart Cities
Analysis of the Influence of Application Deployment on Energy Consumption
The GreenIT DC-Benchmarking Tool: From Scientific Theory to Real Life
Proceedings of the 5th International Workshop on Energy Efficient Data Centres, Waterloo, ON, Canada, June 21, 2016
Setting Energy Efficiency Goals in Data Centers: The GAMES Approach
Cyclic Blackout Mitigation Through HVAC Shifted Queue Optimization
Sustainable Energy Management in Data Centers through Collaboration
Review on Performance Metrics for Energy Efficiency in Data Center: The Role of Thermal Management
A Data Center Control Architecture for Power Consumption Reduction
Energy Efficient Data Centers - Third International Workshop, E 2 DC 2014, Cambridge, UK, June 10, 2014, Revised Selected Papers
Implementation and Evaluation of a Wired Data Center Sensor Network