Business Process Management: 18th International Conference, Bpm 2020, Seville, Spain, September 13-18, 2020, Proceedings, Fahland Dirk, Ghidini Chiara, Becker Jцrg
Описание: Hessian Complexity Measure for Genetic Programming-based Imputation Predictor Selection in Symbolic Regression with Incomplete Data.- Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing.- Incremental Evolution and Development of Deep Artificial Neural Networks.- Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming.- Comparing Genetic Programming Approaches for Non-Functional Genetic Improvement.- Automatically Evolving Lookup Tables for Function Approximation.- Optimising Optimisers with Push GP.- An Evolutionary View on Reversible Shift-invariant Transformations.- Benchmarking Manifold Learning Methods on a Large Collection of Datasets.- Ensemble Genetic Programming.- SGP-DT: Semantic Genetic Programming Based on Dynamic Targets.- Effect of Parent Selection Methods on Modularity.- Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models.- Challenges of Program Synthesis with Grammatical Evolution.- Detection of Frailty Using Genetic Programming: The Case of Older People in Piedmont, Italy.- Is k Nearest Neighbours Regression Better than GP.- Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling.- Classification of Autism Genes using Network Science and Linear Genetic Programming.
Описание: Display Placement and Design: Impact on Engagement with Social Object Labels in a Gallery Environment.- Learning from Errors Designing Assistive Technology.- Empowering Citizen-Environment Interaction vs. Importunate Computer-Dominated Interaction: Let's Reset the Priorities!.- Computer-Human Interaction in Music Composition through Petri Nets.- Through the Looking Glass: Designing Agents for MAS based Shape-shifting Technology using the STEAM Approach.- Randomised Controlled Cross-over Trial Measuring Brain-Computer Interface Metrics to Characterise the User Experience of Search Engines When Ambiguous Search Queries Are Used.- Taxonomized Auditory Distractions with Varying Intensity Levels and Their Effect on a Visual P300 Speller While Utilising Low-cost Off-the-Shelf Equipment.
A deep learning neural network for classifying good and bad photos.- Adapting and Enhancing Evolutionary Art for Casual Creation.- Comparing Fuzzy Rule Based Approaches for Music Genre Classification.- Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles.- Emerging Technology System Evolution.- Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition.- Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms.- Portraits of No One: An Interactive Installation.- Understanding Aesthetic Evaluation with Deep Learning.- An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture.- Objective Evaluation of Tonal Fitness for Chord Progressions.- Coevolving Artistic Images Using OMNIREP.- Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music.- Controlling Self-Organization in Generative Creative Systems.- Emulation Games. See and Be Seen, a Subjective Approach to Analog Computational Neuroscience.
Описание: Optimizing Prices and Periods in Time-of-use Electricity Tariff Design Using Bilevel Programming.- An Algebraic Approach for the Search Space of Permutations with Repetition.- A Comparison of Genetic Representations for Multi-Objective Shortest Path Problems on Multigraphs.- The Univariate Marginal Distribution Algorithm Copes well with Deception and Epistasis.- A Beam Search Approach to the Traveling Tournament Problem.- Cooperative Parallel SAT Local Search with Path Relinking.- Dynamic Compartmental Models for Large Multi-Objective Landscapes and Performance Estimation.- Fitness Landscape Analysis of Automated Machine Learning Search Spaces.- On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D.- A Grouping Genetic Algorithm for Multi Depot Pickup and Delivery Problems with Time Windows and Heterogeneous Vehicle Fleets.- MILPIBEA: Algorithm for Multi-Objective Features Selection in (Evolving) Software Product Lines.- A Group Genetic Algorithm for Resource Allocation in Container-Based Clouds.- The Local Optima Level in Chemotherapy Schedule Optimisation.- Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling.
Описание: Applications of Evolutionary Computation.- A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation.- EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python.- Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed Up Electric Vehicle Charging Control.- Automatic rule extraction from access rules using Genetic Programming.- Search Trajectory Networks of Population-based Algorithms in Continuous Spaces.- Evolving-controllers versus learning-controllers for morphologically evolvable robots.- Simulation-driven multi-objective evolution for traffic light optimization.- Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites.- EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to criticality.- A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Vectors for Multi- and Many-objective Optimization.- Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction.- Particle Swarm Optimization: A Wrapper-based Feature Selection Method for Ransomware Detection and Classification.- A method for estimating the computational complexity of multimodal functions.- Locating Odour Sources with Geometric Syntactic Genetic Programming.- Designing cable-stayed bridges with Genetic Algorithms.- A fast, scalable meta-heuristic for network slicing under traffic uncertainty.- What is Your MOVE: Modeling Adversarial Network Environments.- Using evolution to design modular robots: An empirical approach to select module designs.- Iterated Granular Neighborhood Algorithm for the Taxi Sharing Problem.- Applications of Bio-inspired techniques on Social Networks.- Multiobjective Optimization of a Targeted Vaccination Scheme in the Presence of Non-diagnosed Cases.- Community Detection in Attributed Graphs with Differential Evolution.- Applications of Deep Bioinspired Algorithms.- Fake news detection using time series and user features classification.- Social Learning vs Self-teaching in a Multi-agent Neural Network System.- Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution.- An Adversarial Optimization Approach for the Development of Robust Controllers.- Soft Computing Applied to Games.- Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game.- Finding Behavioural Patterns Among League of Legends Players Through Hidden Markov Models.- Learning the Designer's Preferences to Drive Evolution.- Testing hybrid computational intelligence algorithms for general game playing.- Evolutionary Computation in Digital Healthcare and Personalized Medicine.- Accelerated Design of HIFU Treatment Plans Using Island-based Evolutionary Strategy.- Using Genetic Algorithms for the prediction of cognitive impairments.- Short and Medium Term Blood Glucose Prediction using Multi-Objective Grammatical Evolution.- Evolutionary Machine Learning.- A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks.- Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution.- An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution.- Using Skill Rating as Fitness on the Evolution of GANs.- A Local Search with a Surrogate Assisted Option for Instance Reduction.- Evolutionary Latent Space Exploration of Generative Adversarial Networks.- Neuro-Evolutionary Transfer Learning through Structural Adaptation.- Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks.- Parallel and Distributed Systems.- A MIMD interpreter for Genetic Programming.- Security Risk Optimization for Multi-Cloud Applications.- Using evolutionary algorithms for server hardening via the moving target defense technique.- An Event-based Architecture for Cross-Breed Multi-population Bio-inspired Optimization Algorithms.
Описание: This book constitutes the proceedings of the BPM Forum of the 18th International Conference on Business Process Management, BPM 2020, which was planned to take place in Seville, Spain, in September 2020.
The Third Workshop on Security and Privacy-enhanced Business Process Management (SPBP'20).- Decentralized Data Access with IPFS and Smart Contract Permission Management for Electronic Health Records.- Data Minimisation as Privacy and Trust Instrument in Business Processes.- Verifiable Multi-Party Business Process Automation.- The Thirteenth Workshop on Social and Human Aspects of Business Process Management (BPMS2'20).- A Classification of Digital-Oriented Work Practices.- Competency Cataloging and Localization to Support Organizational Agility in BPM.- Enterprise System Capabilities for Organizational Change in the BPM Life Cycle.- SentiProMo: A Sentiment Analysis-enabled Social Business Process Model Tool.- 4th International Workshop on Business Processes Meet the Internet-of Things (BP-Meet-IoT).- Using Physical Factory Simulation Models for Business Process Management Research.- Modelling Notations for IoT-Aware Business Processes: a Systematic Literature Review.-Workshop on Artificial Intelligence for Business Process Management (AI4BPM).- XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP.- Unsupervised Contextual State Representation for Improved Business Process Models.- Root Cause Analysis in Process Mining Using Structural Equation Models.- On the Complexity of Resource Controllability in Business Process Management.- D3BA: A Tool for Optimizing Business Processes Using NonDeterministic Planning.- Conceptualizing a Capability-Based View of Artificial Intelligence Adoption in a BPM Context.- A General Framework for Action-Oriented Process Mining.- Analyzing Comments in Ticket Resolution to Capture Underlying Process Interactions.- Automated Business Process Discovery from Unstructured Natural-Language Documents.- BPM in the era of Digital Innovation and Transformation (BPMinDIT-2020).- Using Blockchain Technology to Redesign Know Your Customer Processes within the Banking Industry.- Increasing Control in Construction Processes: the Role of Digitalization.- 16th International Workshop on Business Process Intelligence (BPI'20).- Prototype Selection using Clustering and Conformance Metrics for Process Discovery.- Enhancing Discovered Process Models usingBayesian Inference and MCMC.- A Generic Framework for Attribute-Driven Hierarchical Trace Clustering.- Process Outcome Prediction: CNN vs. LSTM (with Attention).- Improving the State-Space Traversal of the eST-Miner by Exploiting Underlying Log Structures.- 8th International Workshop on DEClarative, DECision and Hybrid approaches to processes (DEC2H 2020).- Evaluation of Heuristics for Product Data Models.- Text2Dec: Extracting Decision Dependencies from Natural Language Text for Automated DMN Decision Modelling.- Data Object Cardinalities in Flexible Business Processes.
Описание: This book constitutes the proceedings of the Blockchain and Robotic Process Automation (RPA) Forum which was held as part of the 18th International Conference on Business Process Management, BPM 2020.
Описание: A Method for Selecting Suitable Records based on Fuzzy Conformance and Aggregation Functions.- Reconciling Adapted Psychological Profiling with the New European Data Protection Legislation.- Concordance in FAST-GDM Problems: Comparing Theoretical Indices with Perceived Levels.- Artificial Intelligence Algorithms Selection and Tuning for Anomaly Detection.- AI Turning Points and the Road Ahead.- Efficient Approximation of a Recursive Growing Neural Gas.- Using Convolutional Neural Networks and Recurrent Neural Network for Human Gesture Recognition and Problem Solving.
Описание: This book constitutes the thoroughly refereed proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2018, held in Seville, Spain, in September 2018.The 12 full papers presented were carefully reviewed and selected from 167 submissions.
Описание: This book constitutes the proceedings of the 17th International Conference on Business Process Management, BPM 2019, held in Vienna, Austria, in September 2019. The 23 full and 4 tutorial short papers included in this volume were carefully reviewed and selected from 115 submissions.
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