• 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 523 matches

• 2022
• 
  Jan Tekülve:
  A neural process model of intentionality implemented on an autonomous robot. Ruhr University Bochum, Germany, 2022
• 2021
• 
  Fan Bu:
  Stochastic Process Models on Dynamic Networks. Duke University, Durham, NC, USA, 2021
• 
  Elliot Dovers:
  Fast methods for fitting log-Gaussian Cox process models in ecology. University of New South Wales, Sydney, Australia, 2021
• 
  Maryam Ghafouri:
  Efficient Data Modelling, Indexing and Processing in Large Datasets. University of New South Wales, Sydney, Australia, 2021
• 
  Fredrik Wrede:
  Large-scale simulation-based experiments with stochastic models using machine learning-assisted approaches: Applications in systems biology using Markov jump processes. Uppsala University, Sweden, 2021
• 
  Sebastian Gallenmüller:
  Data-driven analysis and modeling of packet processing systems. Technical University of Munich, Germany, 2021, ISBN 978-3-937201-71-9, pp. 1-140
• 
  Robert Höttger:
  Model-based exploration of parallelism in context of automotive multi-processor systems. University of Osnabrück, Germany, 2021, pp. 1-239
• 
  Markus Kaiser:
  Structured Models with Gaussian Processes. Technical University of Munich, Germany, 2021
• 
  Anne Voormann:
  Evaluating processes involved in recognition decisions using different model comparison techniques. University of Freiburg, Freiburg im Breisgau, Germany, 2021, pp. 1-130
• 
  Anders Kirk Uhrenholt:
  Assumptions and efficiency in Gaussian process modelling. University of Glasgow, UK, 2021
• 
  Matthieu Armando:
  Processing Mesh Surface Signals for Appearance Modeling. (Traitement de signaux de surface sur maillages pour la modélisation d'apparence). Grenoble Alpes University, France, 2021
• 
  Emmanuel de Bézenac:
  Modeling Physical Processes with Deep Learning: A Dynamical Systems Approach. (Modélisation de Processus Physique avec de l'Apprentissage Profond). Sorbonne University, France, 2021
• 
  Mathilde Boltenhagen:
  Partitionnement d'instances de processus basé sur les techniques de conformité de modèles. (Process Instance Clustering Based on Conformance Checking Artefacts). University of Paris-Saclay, France, 2021
• 
  Clara Gainon de Forsan de Gabriac:
  Deep Natural Language Processing for User Representation. (Traitement du langage naturel profond pour la modélisation d'utilisateurs). Sorbonne University, Paris, France, 2021
• 
  Zihao Wang:
  Deep generative learning for medical data processing, analysis and modeling: application to cochlea ct imaging. (Apprentissage Génératif pour le Traitement, L'analyse et la Modélisation des Données Médicales: application à l'imagerie CT de la cochlée). University of Côte d'Azur, Nice, France, 2021
• 
  Matthew Ralph Carbone:
  Dynamical processes in the condensed phase: methods and models. Columbia University, USA, 2021
• 
  John Thickstun:
  Leveraging Generative Models for Music and Signal Processing. University of Washington, USA, 2021
• 
  Jieyu Zhao:
  Building Accountable Natural Language Processing Models: on Social Bias Detection and Mitigation. University of California, Los Angeles, USA, 2021
• 
  Claudia Döring, Finn Reiche, Holger Timinger:
  Process Model for Digital Transformation of University Knowledge Transfer. KMIS 2021: 153-160
• 2020
• 
  Marco Lorenzi:
  Modelling pathological processes from heterogeneous and high-dimensional biomedical data. University of Nice Sophia Antipolis, France, 2020
• 
  Sebastian Kahl:
  Social Motorics - a predictive processing model for efficient embodied communication. Bielefeld University, Germany, 2020
• 
  Johannes Pfeffer:
  App-Orchestrierung als Methode zur formalen Modellierung von App-Ensembles für industrielle Geschäftsprozesse = App-orchestration as a method for formal modelling of app-ensembles for industrial business processes. Dresden University of Technology, Germany, 2020
• 
  Ana Cristina Franco da Silva:
  A model-based approach for data processing in IoT environments. University of Stuttgart, Germany, 2020
• 
  Florian Wenzel:
  Scalable Inference in Latent Gaussian Process Models. Humboldt University of Berlin, Germany, 2020
• 
  Manuel Wieland:
  On modeling and simulation of industrial fiber spinning processes: diffusive effects, electrified jets and turbulent airflows. University of Trier, Germany, Fraunhofer Verlag 2020, ISBN 978-3-8396-1573-7, pp. 1-197
• 
  Amer Al-Lahham:
  Ontology-based context-aware model for event processing in an IoT environment. University of Salford, UK, 2020
• 
  Luis Hernán García Paucar:
  Requirements-aware models to support better informed decision-making for self-adaptation using partially observable Markov decision processes. Aston University, Birmingham, UK, 2020
• 
  Mamadou Lakhassane Cisse:
  Modélisation et exécution flexible de processus collaboratifs. (Collaborative processes modeling and flexible execution). Cheikh Anta Diop University, Dakar, Senegal, 2020
• 
  Hugo Gangloff:
  Probabilistic models for image processing: applications in vascular surgery. (Modèles probabilistes pour le traitement d'image: application à la chirurgie vasculaire). University of Strasbourg, France, 2020
• 
  Hussein Mhanna:
  Intégration du model-based testing dans un processus de développement logiciel. (Model based testing integration in a software development process). University of Paris-Saclay, France, 2020

skipping 493 more matches