• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 2,184 matches

• 2024
• 
  Colin Atkinson, Thomas Kühne, Arne Lange:
  Misconceptions about Potency-Based Deep Instantiation. MoDELS (Companion) 2024: 810-817
• 
  Steven Kelly:
  New UX for Participatory Modeling. MoDELS (Companion) 2024: 675-679
• 
  Paula Muñoz, Javier Troya, Antonio Vallecillo:
  Towards Measuring Digital Twins Fidelity at Runtime. MoDELS (Companion) 2024: 507-512
• 
  Faima Abbasi, Pierre Brimont, Cédric Pruski, Jean-Sébastien Sottet:
  Understanding Semantic Drift in Model Driven Digital Twins. MoDELS (Companion) 2024: 419-430
• 
  Zaheed Ahmed, Philip Makedonski:
  Exploring the Fundamentals of Mutations in Deep Neural Networks. MoDELS (Companion) 2024: 227-233
• 
  Sara Aissat, Jonathan Beaulieu, Francis Bordeleau, Julien Gascon-Samson, Erik A. Poirier, Ali Motamedi:
  JuNo-OPS: A DevOps Framework for the Engineering of Digital Twins for Built Assets. MoDELS (Companion) 2024: 496-506
• 
  Noor Al-Gburi, András Földvári, Kristóf Marussy, Oszkár Semeráth, Imre Kocsis:
  Requirement-Driven Generation of Distributed Ledger Architectures. MODELS 2024: 268-279
• 
  Qurat ul ain Ali, Dimitris S. Kolovos, Antonio García-Domínguez, Michael Bennett, Joe Newton, Piotr Zacharzewski:
  Advancing Domain-Specific High-Integrity Model-Based Tools: Insights and Future Pathways. MODELS 2024: 104-113
• 
  Alan Birchler De Allende, Bastien Sultan, Ludovic Apvrille:
  From Attack Trees to Attack-Defense Trees with Generative AI & Natural Language Processing. MoDELS (Companion) 2024: 561-569
• 
  Vinicius Kreischer de Almeida, Douglas Ericson Marcelino de Oliveira, Claudio Daniel Tenorio de Barros, Gabriel dos Santos Scatena, Asdrubal N. Queiroz Filho, Fábio Levy Siqueira, Anna Helena Reali Costa, Edson Satoshi Gomi, Leonardo A. F. Mendoza, Evelyn Conceição Santos Batista, Cristian E. Muñoz, Isabela Guimarães Siqueira, Rodrigo A. Barreira, Ismael H. F. dos Santos, Carlos Cardoso, Eduardo S. Ogasawara, Fábio Porto:
  A Digital Twin System for Oil And Gas Industry: A Use Case on Mooring Lines Integrity Monitoring. MoDELS (Companion) 2024: 322-331
• 
  Faeq Alrimawi, Bashar Nuseibeh:
  Meta-Modelling Kindness. MODELS 2024: 280-289
• 
  Moussa Amrani, Rakshit Mittal, Miguel Goulão, Vasco Amaral, Sylvain Guérin, Salvador Martínez, Dominique Blouin, Anish Bhobe, Yara Hallak:
  A Survey of Federative Approaches for Model Management in MBSE. MoDELS (Companion) 2024: 990-999
• 
  Anthony Anjorin, Thomas Buchmann, Lars Fritsche:
  Benchmarx 2.0: A Benchmark for Concurrent Model Synchronisation Approaches. MoDELS (Companion) 2024: 950-959
• 
  Pascal Archambault:
  Co-simulation and Crop Representation for Digital Twins of Controlled Environment Agriculture Systems. MoDELS (Companion) 2024: 196-199
• 
  Pascal Archambault, Houari A. Sahraoui, Eugene Syriani:
  A Modeling Methodology for Crop Representation in Digital Twins for Smart Farming. MoDELS (Companion) 2024: 342-352
• 
  Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera:
  A RAG-based Feedback Tool to Augment UML Class Diagram Learning. MoDELS (Companion) 2024: 26-30
• 
  Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera:
  Enhancing Software Modeling Learning with AI-Powered Scaffolding. MoDELS (Companion) 2024: 103-106
• 
  Chaimae Asaad, Karim Baïna, Mounir Ghogho:
  Bridging the Gap: Participatory Modeling for Stakeholder-Driven NoSQL Database Design. MoDELS (Companion) 2024: 685-689
• 
  Negin Ayoughi, Shiva Nejati, Mehrdad Sabetzadeh, Patricio Saavedra:
  Enhancing Automata Learning with Statistical Machine Learning: A Network Security Case Study. MODELS 2024: 172-182
• 
  Jean-Christophe Bach, Antoine Beugnard, Joël Champeau, Fabien Dagnat, Sylvain Guérin, Salvador Martínez:
  10 years of Model Federation with Openflexo: Challenges and Lessons Learned. MODELS 2024: 25-36
• 
  Mira Balaban, Lars Hamann, Gil Khais, Amiel Amram Saad, Azzam Maraee, Arnon Sturm:
  Mediation-Based MLM in USE. MoDELS (Companion) 2024: 818-827
• 
  Léna Bamouh, Erwan Bousse:
  Towards Model-Driven Test Case Concretization for End-to-end Combinatorial Testing. MoDELS (Companion) 2024: 1111-1120
• 
  Gwendal G. Beaumont, Antoine Beugnard, Salvador Martínez Perez, Christelle Urtado, Sylvain Vauttier:
  Towards Re-Engineering Digital Twins: Preliminary Experiments on Three Use Cases. MoDELS (Companion) 2024: 453-458
• 
  Manas Manoj Bedekar, Gunter Mussbacher:
  A Multi-Platform Specification Language and Dataset for the Analysis of DevOps Pipelines. MoDELS (Companion) 2024: 264-274
• 
  Sebastian Bergemann, Nina Benkendorf:
  Modular Consistency Checking Between Heterogeneous Models Without Direct Data Exchange Between Collaborators. MoDELS (Companion) 2024: 620-629
• 
  Lorenzo Bettini, Davide Di Ruscio, Amleto Di Salle, Ludovico Iovino, Alfonso Pierantonio:
  Keeping clients' models up-to-date with Edelta. MoDELS (Companion) 2024: 46-50
• 
  Carina Bieber, Patrick Harms, Dominick Leppich, Katrin Proschek:
  AI-based User Emotion Recognition from Interaction Data: Challenges and Guidelines for Training Data Creation. MoDELS (Companion) 2024: 245-252
• 
  Lina Bilal:
  Automating Digital Twins Development in Industry 4.0. MoDELS (Companion) 2024: 162-167
• 
  Konstantin Rupert Blaschke, Simon Barner:
  Towards the Estimation of Quality Attributes on System Model Histories. MoDELS (Companion) 2024: 1035-1040
• 
  Christoph Bockisch, Deniz Eren, Sascha Lehmann, Daniel Neufeld, Gabriele Taentzer:
  Mutation Testing of Java Bytecode: A Model-Driven Approach. MODELS 2024: 237-248

skipping 2,154 more matches