yusuke1997/dblp-id-title huggingface dataset:
Optimum error-diffusion kernel design
Adaptive color-printer modeling using regularized linear splines
Vector Multilevel Tone-Dependent Error Diffusion in the YyCxCz Color Space
Color scanner performance trade-offs
Evolution of error diffusion
Modeling dot area coverage of halftone printing
Controlled and uncontrolled viewing conditions in the evaluation of prints
White ink, measurement methods
Houston, we have a color issue!
Thermo autochrome printer TPH heating compensation method
Influence of precompensation curves on multidimensional color modeling
Color-dependent banding characterization and simulation on natural document images
A new halftoning technique to eliminate ambiguous pixels for stable printing
ICC profiles: are we better off without them?
An improved method to estimate reflectance parameters for high dynamic range imaging
Subjective assessment of printed color image quality as saturation of the primary colors RGB decreases
Quality issues in blue noise halftoning
CIE chromaticity, Planckian locus, and correlated color temperature estimation from raw image data using color checker training images
Reducing auto moiré in discrete line juxtaposed halftoning
Object-oriented semantic data flow system for scientific visualization
A scalable SIMD digital signal processor for high-quality multifunctional printer systems
Quality assessment of color reproduction devices: cross-media vs. single media
AM/FM halftoning: a method for digital halftoning through simultaneous modulation of dot size and dot placement
Black generation using lightness scaling
Impact of photoreceptor design on digital electrophotography
Comparative Study Of Biorthogonal Wavelets Accuracy In Demosaicing Algorithm Based On Wavelet Analysis Of Luminance Component
Multispectral high dynamic range imaging
Viewing angle characterization of HDR/WCG displays using color volumes and new color spaces
Calculation of best CMY basis functions
Channel-dependent error diffusion algorithm for dot-off-dot printing
Reproducing the old masters: applying colour mixing and painting methodologies to inkjet printing
A study on the equivalence of controlled and uncontrolled visual experiments
Color-to-colorant transformation for a seven ink process
Using statistical analysis and artificial intelligence tools for automatic assessment of video sequences
Color FM screen design using DBS algorithm
Improved algorithmic mapping of color to texture
Combine 1D and 3D color calibration methods for ensuring consistent color reproduction
Color Imaging XVII: Displaying, Processing, Hardcopy, and Applications, Burlingame, California, USA, January 24-26, 2012
Spring-primary mapping: a fast color mapping method for primary adjustment and gamut mapping
Future of electronic printing
Color quality management in advanced flat panel display engines
Pareto Optimal Primary Designs for Color Displays
Preserving color fidelity for display devices using scalable memory compression architecture for text, graphics, and video
Subjective comparison of brightness preservation methods for local backlight dimming displays
Modeling large-area influence in digital halftoning for electrophotographic printers
Complexities of complex contrast
High-definition color image in dye thermal transfer printing by laser heating
Color gamut boundary optimization of wide gamut display devices
Light scattering in translucent layers: angular distribution and internal reflections at flat interfaces
Integrating sphere versus opal glass as the reference for colorimetry of transmission targets for scanner characterization
Encoding true color images in true color difference mode (TCDM)
A simple approach for gamut boundary description using radial basis function network
Characterization of a color-sensitive photodetector implemented in a BiCMOS technology
How to convert RGB signals to colorimetric and densitometric values
Compensating for non-uniform screens in projection display systems
Optimal gamut volume design for three primary and multiprimary display systems
The perfect photo book: hints for the image selection process
How to ensure consistent color quality in inkjet proofing
Multiple Illuminants' Color Estimation using Layered Gray-World Assumption
Unsupervised correction of relative longitudinal aberrations for multispectral imaging using a multiresolution approach
Reproduction of colored images on substrates with varying chromaticity
Improving and streamlining the workflow in the graphic arts and printing industry
Impact of a coating layer on the appearance of various halftone patterns
Locally adaptive high range image reproduction inspired by human visual system
An experiment on the color rendering of different light sources
Cost function analysis for stochastic clustered-dot halftoning based on direct binary search
Optimization of sensor response functions for colorimetry of reflective and emissive objects
Heterochromatic brightness matching experiments to evaluate brightness prediction model including Helmholtz-Kohlrausch effect
Stray darkness: a new error or a previously known error recast?
Factoring Adjunction in Hierarchical Phrase-Based SMT
Moses & Treex Hybrid MT Systems Bestiary
Large Scale Translation Quality Estimation
Deep-syntax TectoMT for English-Spanish MT
Splitting Compounds by Semantic Analogy
First Steps in Using Word Senses as Contextual Features in Maxent Models for Machine Translation
Deeper Machine Translation and Evaluation for German
Lexical choice in Abstract Dependency Trees
Proceedings of the 2nd Deep Machine Translation Workshop, DMTW 2016, Lisbon, Portugal, October 21, 2016
Incorporation of a valency lexicon into a TectoMT pipeline
A Hybrid Approach for Deep Machine Translation
Adding syntactic structure to bilingual terminology for improved domain adaptation
Evaluating a Machine Translation System in a Technical Support Scenario
Towards Deeper MT - A Hybrid System for German
Factored models for Deep Machine Translation
Delimiting Morphosyntactic Search Space with Source-Side Reordering Models
Machine Translation for Multilingual Troubleshooting in the IT Domain: A Comparison of Different Strategies
Modelling the Adjunct/Argument Distinction in Hierarchical Phrase-Based SMT
Translation Model Interpolation for Domain Adaptation in TectoMT
Proceedings of the 1st Deep Machine Translation Workshop, DMTW 2015, Praha, Czechia, September 3-4, 2015
Development of Telugu-Tamil Transfer-Based Machine Translation system: With Special reference to Divergence Index
Do Formal Methodists have Bell-Shaped Heads?
A Repository for Tarski-Kleene Algebras
A Domain-Specific Language for the Specification of Path Algebras
Simplifying Pointer Kleene Algebra
An Overview of Methods for Large-Theory Automated Theorem Proving
Proceedings of the First Workshop on Automated Theory Engineering, Wrocław, Poland, July 31, 2011
Inconsistencies in the Process Specification Language (PSL)
Designing Domain Specific Languages for Verification: First Steps
An Activity Instance Based Hierarchical Framework for Event Abstraction
Automating the Design of Process Mining Pipelines through Meta-Learning (Extended Abstract)
Improving Precision in Process Trees Using Subprocess Tree Logs
Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring
Case2vec: Advances in Representation Learning for Business Processes
Enhancing Predictive Process Monitoring Using Semantic Information
3DCR: A Tool for Immersive Process Mining
SKTR: Trace Recovery from Stochastically Known Logs
Remaining Time Prediction for Processes with Inter-case Dynamics
FilterTree: a Repeatable Branching XES Editor (Extended Abstract)
Exploring Expert Behavior of Process Mining Analysts
The Jensen-Shannon Distance for Stochastic Conformance Checking
Visualizing Trace Variants from Partially Ordered Event Data
Checking Constraints for Object-Centric Process Executions
Striking a new Balance in Accuracy and Simplicity with the Probabilistic Inductive Miner
Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events
Why Am I Waiting? Analyzing Waiting Times in Business Processes from Event Logs (Extended Abstract)
LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks
Stochastic Process Trees: A Formal Framework for Stochastic Process Discovery
EVErPREP: Towards an Event Knowledge Graph Enhanced Workflow Model for Event Log Preparation
Understanding Student Behavior Using Active Window Tracking and Process Mining
An Expert Lens on Data Quality in Process Mining
Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values
Process-Aware Bayesian Networks for Sequential Event Log Queries
Quantifying the Re-identification Risk in Published Process Models
Process Mining Workshops - ICPM 2023 International Workshops, Rome, Italy, October 23-27, 2023, Revised Selected Papers
dynamik: A Tool for Performance Drift Detection in Business Processes
Representative Sampling in Process Mining: Two Novel Sampling Algorithms for Event Logs
Discover Context-Rich Local Process Models (Extended Abstract)
Leveraging Process Mining on the Shop Floor: An Exploratory Study
Towards Quantifying Privacy in Process Mining
Kairos: A Tool for Prescriptive Monitoring of Business Processes
Improving Accuracy and Explainability in Event-Case Correlation via Rule Mining
Error-Correcting Methodology for Evaluating Compliance to Clinical Guidelines: A Case Study on Rectal Cancer
Business Process Intervention Discovery and Decision Support
Explainable Predictive Process Monitoring
Manifold Learning for Adversarial Robustness in Predictive Process Monitoring
Hypergraphs for Frailty Analysis Research Paper
Extending Process Intelligence with Quantity-Related Process Mining
Rule Mining with RuM
Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation
Automated Discovery of Process Models with True Concurrency and Inclusive Choices
Exploring Gamification in Process Mining Education: Towards a Playful and Engaging Approach
Grammar-Based Process Model Representation for Probabilistic Conformance Checking
Time-Order Map for Seamless Zooming between Process Models and Process Instances
Data-Driven Approaches Towards Transparent Benchmarking of Process Mining Tasks
Turning Logs into Lumber: Preprocessing Tasks in Process Mining
6th International Conference on Process Mining, ICPM 2024, Kgs. Lyngby, Denmark, October 14-18, 2024
Addressing the Log Representativeness Problem using Species Discovery
4th International Conference on Process Mining, ICPM 2022, Bolzano, Italy, October 23-28, 2022
A Combined Approach of Process Mining and Rule-Based AI for Study Planning and Monitoring in Higher Education
Probability Estimation of Uncertain Process Trace Realizations
3rd International Conference on Process Mining, ICPM 2021, Eindhoven, The Netherlands, October 31 - Nov. 4, 2021
Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities
Extracting Rules from Event Data for Study Planning
The CDESF Toolkit: An Introduction
SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining
Assessing Process Mining Techniques: a Ground Truth Approach
Business Miner: Process Mining Insights for Business Users
Journey-to-Process Analytics: Fusing Experience with Operations Data
One Language to Rule Them All: Behavioural Querying of Process Data Using SQL
Object-Centric Process Mining (and more) using a Graph-Based Approach with PromG
Structural and Semantic Enrichment of Models for the Interactive Discovery of Clinical Processes
Queueing Inference for Process Performance Analysis with Missing Life-Cycle Data
Predictive Insights for Personalising Esophagogastric Cancer Treatment Process - A Case Study
processpredictR: predictive process monitoring using bupaR
Timed Alignments
Your Secret Is Safe With Me: Federated Directly-Follows Graph Discovery
PURPLE: a PURPose-guided Log GEnerator (Extended Abstract)
Everything there is to Know about Stochastically Known Logs
Locally Optimized Process Tree Discovery
Probabilistic Suffix Prediction of Business Processes
SAP Signavio Academic Models: A Large Process Model Dataset
Detecting Anomalous Events in Object-Centric Business Processes via Graph Neural Networks
Collaborative and Interactive Detection and Repair of Activity Labels in Process Event Logs
PM4KNIME: Process Mining Meets the KNIME Analytics Platform (Extended Abstract)
Measuring the Behavioral Quality of Log Sampling
Explainable Process Predictions (xPP): A Holistic Framework and Applications (Extended Abstract)
Multi-perspective Identification of Event Groups for Event Abstraction
Measuring Generalization of Process Models Discovered from Event Logs
Process Model Discovery from Sensor Event Data
LogPPL: A Tool for Probabilistic Process Mining
Predicting Activities of Interest in the Remainder of Customer Journeys Under Online Settings
AIR-BAGEL: An Interactive Root cause-Based Anomaly Generator for Event Logs
Conformance Checking Beyond Replay Methods: Closing The Gap To Real-World Adoption
Online Resource Allocation to Process Tasks Under Uncertain Resource Availabilities
Towards Nudging in BPM: A Human-Centric Approach for Sustainable Business Processes
Identifying Variation in Personal Daily Routine Through Process Mining: A Case Study
BERMUDA: Participatory Mapping of Domain Activities to Event Data via System Interfaces
Encoding High-Level Control-Flow Construct Information for Process Outcome Prediction
From Identities to Quantities: Introducing Items and Decoupling Points to Object-Centric Process Mining
Discovery of Activities' Actor Perspective from Emails based on Speech Acts Detection
NICE: The Native IoT-Centric Event Log Model for Process Mining
Kronos: Discovery and Analysis of Waiting Time Causes
Coral: Conversational What-If Process Analysis (Extended Abstract)
Process Mining on the Extended Event Log to Analyse the System Usage During Healthcare Processes (Case Study: The GP Tab Usage During Chemotherapy Treatments)
Why Do Users Struggle to Get Insights from Process Mining?
Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 - November 4, 2021, Revised Selected Papers
Detecting Surprising Situations in Event Data
Process Mining of Disease Trajectories in MIMIC-III: A Case Study
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs
A Dynamic Programming Approach for Alignments on Process Trees
Visual Analytics Meets Process Mining: Challenges and Opportunities
DIS-PIPE: A Tool for Data Pipeline Discovery
Discovering Process-Based Drivers for Case-Level Outcome Explanation
Graph-Based Process Mining
DDTR: Diffusion Denoising Trace Recovery
Compliance Monitoring on Process Event Streams from Multiple Sources
A Virtual Knowledge Graph Based Approach for Object-Centric Event Logs Extraction
Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study
Towards an Ethogram of Exploratory Process Mining Behavior
Tiramisù: A Recipe for Visual Sensemaking of Multi-faceted Process Information
Process Mining Workshops - ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, Revised Selected Papers
Towards Full Population Testing in Auditing: How Many Process Deviations Should Be Labeled?
Analysis of Business Process Batching Using Causal Event Models
Discovering Stochastic Causal Nets
Visualization Libraries for Process Analytics (Extended Abstract)
Analysing the Foraging Behaviour of Bees Using Process Mining: A Case Study
Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm
Analyzing the Evolution of Boards in Collaborative Work Management Tools
A Window of Opportunity: Active Window Tracking for Mining Work Practices
Enhancing Data-Awareness of Object-Centric Event Logs
An LLM-Based Q&A Natural Language Interface to Process Mining
Defining Cases and Variants for Object-Centric Event Data
Deriving Event Logs from Legacy Software Systems
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction
Process "Prospecting" to Improve Renewable Energy Interconnection Queues: A Case Study
Identifying and Reducing Errors in Remaining Time Prediction due to Inter-Case Dynamics
Process Deviation Classification (Extended Abstract)
Local Large Language Models for Business Process Modeling
Runtime Integration of Machine Learning and Simulation for Business Processes
A Taste of the Different Flavors of Tiramisù
Amun: A tool for Differentially Private Release of Event Logs for Process Mining (Extended Abstract)
7th International Conference on Process Mining, ICPM 2025, Montevideo, Uruguay, October 20-24, 2025
Assessing the Impact of Exam Preparation Process on Students' Careers
Petri Net Classes for Collaboration Mining: Assessment and Design Guidelines
Exploiting Instance Graphs and Graph Neural Networks for Next Activity Prediction
Automated Segmentation of User Interface Logs Using Trace Alignment Techniques (Extended Abstract)
Process Modeler vs. Chatbot: Is Generative AI Taking over Process Modeling?
DCR4Py: A PM4Py Library extension for Declarative Process Mining in Python
Design and Evaluation of a Process-aware Recommender System based on Prescriptive Analytics
Bringing healthcare professionals to the forefront in process mining: novel methods to identify information needs and visualize outcomes
Simulating Environmental Impacts of Business Processes with SimuBridge and the SOPA Framework
Generating event logs with CPN IDE
Rule Mining in Action: The RuM Toolkit
Process Mining meets Statistical Model Checking to Explain Threat Models: Novel Approach to Model Validation and Enhancement (Extended Abstract)
Measurement of Rule-based LTLf Declarative Process Specifications
Realizing A Digital Twin of An Organization Using Action-oriented Process Mining
Interest-Driven Recommendations To Support Time Performance Analyses
5th International Conference on Process Mining, ICPM 2023, Rome, Italy, October 23-27, 2023
Process Mining Workshops - ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022, Revised Selected Papers
Discovering Hierarchical Processes Using Flexible Activity Trees for Event Abstraction
Using Convolutional Neural Networks for Predictive Process Analytics
How Do Explainability and Interpretability Affect the Use of Process Mining?
FEEED: Feature Extraction from Event Data
Continuous Performance Evaluation for Business Process Outcome Monitoring
On the Potential of Textual Data for Explainable Predictive Process Monitoring
EDD: A Web-Based Editor for Declarative Process Models Using easyDeclare
Stochastic Process Model-Log Quality Dimensions: An Experimental Study
Measuring Skill Acquisition and Retention: A Case Study of Math Fluency
Parallelism-Based Session Creation to Identify High-Level Activities in Event Log Abstraction
Measuring the Stability of Process Outcome Predictions in Online Settings
State Snapshot Process Discovery on Career Paths of Qing Dynasty Civil Servants
An Approximate Inductive Miner
Using Multi-Level Information in Hierarchical Process Mining: Balancing Behavioural Quality and Model Complexity
Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs
Activity Discovery Tool From Unstructured Data To Enhance Process Mining
Value Behaviour Analysis of Event Attributes in Process Mining (Extended Abstract)
Guarded Process Trees: Translation to Petri Nets and Application in Process Mining
Online Prediction of Aggregated Retailer Consumer Behaviour
Event Log Construction from Customer Service Conversations Using Natural Language Inference
Investigating an Ontology-Informed Approach to Event Log Generation in Healthcare
What's Coming Next? Short-Term Simulation of Business Processes from Current State
Framework for Extracting Real-World Object-Centric Event Logs from Game Data
Active Anomaly Detection for Key Item Selection in Process Auditing
Linac: A Smart Environment Simulator of Human Activities
Discovering Object-Centric Process Simulation Models
Analyzing an After-Sales Service Process Using Object-Centric Process Mining: A Case Study
Measuring the Impact of COVID-19 on Hospital Care Pathways
Extending Genetic Process Discovery to Reveal Unfairness in Processes
TraVaS: Differentially Private Trace Variant Selection for Process Mining
An Event Data Extraction Approach from SAP ERP for Process Mining
Perfect Process Models?! A Process-Discovery Technique Optimizing over Quality Measures
Navigating Complexity: Comparing Complexity Measures With Weyuker's Properties
Providing Domain Knowledge for Process Mining with ReWOO-Based Agents
Visually Representing History Dependencies in Event Logs
Using Process Mining with Pre- and Post-intervention Analysis to Improve Digital Service Delivery: A Governmental Case Study
A Framework for Advanced Case Notions in Object-Centric Process Mining
Anomaly Detection on Event Logs with a Scarcity of Labels
SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms
Enhanced What-If Scenarios Generation by Bridging Generative Models and Process Simulation
A Hybrid Compliance Checking Approach: Law Meets Process Domain
Research Paper: Process Mining and Synthetic Health Data: Reflections and Lessons Learnt
Proceedings of the ICPM Doctoral Consortium and Demo Track 2021 co-located with 3rd International Conference on Process Mining, ICPM Doctoral Consortium / Demo Track 2021, Eindhoven, The Netherlands, November, 2021
Towards Standardized Modeling of Collaboration Processes in Collaboration Process Discovery
OCEL 2.0 Resources - www.ocel-standard.org
An Interactive Framework to Facilitate Behavioural Pattern Exploration in Event Data (Extended Abstract)
Towards Organizational Digital Twins: Automated Process Enhancement by Object-Centric Simulation
AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation
The Role of Log Representativeness in Estimating Generalization in Process Mining
Stochastic Process Mining (Extended Abstract)
Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach
Process Analytics Workbench (PAW)
Two Solutions for Checking LTLf Properties in Event Logs
On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring
Online conformance checking to support human behavior study (Extended Abstract)
Detecting System-Level Behavior Leading To Dynamic Bottlenecks
Predictive Performance Monitoring of Material Handling Systems Using the Performance Spectrum
Evaluation of Study Plans Using Partial Orders
Discovering Changes in Cell Stability Using Process Mining: A Case Study
Helping Nurses to Improve Their Work Organisation Using Process Data
A Temporal Logic-Based Measurement Framework for Process Mining
Interactive Process Identification and Selection from SAP ERP (Extended Abstract)
A Reinforcement Learning Framework for Event Log Anomaly Detection and Repair
Rethinking the Input for Process Mining: Insights from the XES Survey and Workshop
I-PALIA: Discovering BPMN Processes with Duplicated Activities for Healthcare Domains
Early Predicting the Need for Aftercare Based on Patients Events from the First Hours of Stay - A Case Study
Excavating event logs with DiSCover
An Alignment Cost-Based Classification of Log Traces Using Machine-Learning
Keynote Data Mining on Process Data
Enhancing Support for Individual Analysts in Process Mining
Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs
PErrCas: Process Error Cascade Mining in Trace Streams
Implementing Object-Centric Event Data Models in Event Knowledge Graphs
Plan Recognition as Probabilistic Trace Alignment
2nd International Conference on Process Mining, ICPM 2020, Padua, Italy, October 4-9, 2020
Enhancing Event Log Manipulation and Insight Discovery through Querying Process Representations with DFGs
Context-Aware Trace Alignment with Automated Planning
An Approach for Discovering Inter-organizational Collaborative Business Processes in BPMN 2.0
Process Mining Guidelines for Greenhouse Gas Emission Management in Production Processes
Python-JXES: Python Implementation of JSON Serialization for XES Standard
Cache Enhanced Split-Point-Based Alignment Calculation
Process Mining in Trusted Execution Environments: Towards Hardware Guarantees for Trust-Aware Inter-organizational Process Analysis