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You searched for publisher:"Leiden Institute of Advanced Computer Science (LIACS)". Showing records 1 – 30 of 55 total matches.

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1. Nadezhkin, Dmitry. Parallelizing dynamic sequential programs using polyhedral process networks.

Degree: 2012, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 The Polyhedral Process Network (PPN) is a suitable parallel model of computation (MoC) used to specify embedded streaming applications in a parallel form facilitating the… (more)

Subjects/Keywords: Models of computation; Compiler techniques for MPSoCs; Polyhedral process networks; Parallel programing

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APA (6th Edition):

Nadezhkin, D. (2012). Parallelizing dynamic sequential programs using polyhedral process networks. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/20357

Chicago Manual of Style (16th Edition):

Nadezhkin, Dmitry. “Parallelizing dynamic sequential programs using polyhedral process networks.” 2012. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/20357.

MLA Handbook (7th Edition):

Nadezhkin, Dmitry. “Parallelizing dynamic sequential programs using polyhedral process networks.” 2012. Web. 24 Sep 2017.

Vancouver:

Nadezhkin D. Parallelizing dynamic sequential programs using polyhedral process networks. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2012. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/20357.

Council of Science Editors:

Nadezhkin D. Parallelizing dynamic sequential programs using polyhedral process networks. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2012. Available from: http://hdl.handle.net/1887/20357

2. Witsenburg, Martinus Damianus Jacobus. Hybrid similarities: a method to insert relational information into existing data mining tools.

Degree: 2012, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 Data mining tools often only use a single type of information. The method proposed in this thesis allows the user to insert relational information into… (more)

Subjects/Keywords: Data mining; Hybrid similarities; Similarity measures

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APA (6th Edition):

Witsenburg, M. D. J. (2012). Hybrid similarities: a method to insert relational information into existing data mining tools. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/20358

Chicago Manual of Style (16th Edition):

Witsenburg, Martinus Damianus Jacobus. “Hybrid similarities: a method to insert relational information into existing data mining tools.” 2012. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/20358.

MLA Handbook (7th Edition):

Witsenburg, Martinus Damianus Jacobus. “Hybrid similarities: a method to insert relational information into existing data mining tools.” 2012. Web. 24 Sep 2017.

Vancouver:

Witsenburg MDJ. Hybrid similarities: a method to insert relational information into existing data mining tools. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2012. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/20358.

Council of Science Editors:

Witsenburg MDJ. Hybrid similarities: a method to insert relational information into existing data mining tools. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2012. Available from: http://hdl.handle.net/1887/20358

3. Grabe, Immo. Static analysis of unbounded structures in object-oriented programs.

Degree: 2012, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 In this thesis we investigate different techniques and formalisms to address complexity introduced by unbounded structures in object-oriented programs. We give a representation of a… (more)

Subjects/Keywords: Object creation; Concurrency; Multi-threading; Dynamic logic; Deadlock detection; Futures; Static analysis

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APA (6th Edition):

Grabe, I. (2012). Static analysis of unbounded structures in object-oriented programs. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/20325

Chicago Manual of Style (16th Edition):

Grabe, Immo. “Static analysis of unbounded structures in object-oriented programs.” 2012. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/20325.

MLA Handbook (7th Edition):

Grabe, Immo. “Static analysis of unbounded structures in object-oriented programs.” 2012. Web. 24 Sep 2017.

Vancouver:

Grabe I. Static analysis of unbounded structures in object-oriented programs. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2012. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/20325.

Council of Science Editors:

Grabe I. Static analysis of unbounded structures in object-oriented programs. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2012. Available from: http://hdl.handle.net/1887/20325

4. Osman, Mohd Hafeez Bin. Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension.

Degree: 2015, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 Software design documentation is a valuable aid in software comprehension. However, keeping the software design up-to-date with evolving source code is challenging and time-consuming. Reverse… (more)

Subjects/Keywords: Reverse-Engineering; Supervised Machine Learning; Class Diagram Simplification; Unified Modeling Language

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APA (6th Edition):

Osman, M. H. B. (2015). Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/32210

Chicago Manual of Style (16th Edition):

Osman, Mohd Hafeez Bin. “Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension.” 2015. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/32210.

MLA Handbook (7th Edition):

Osman, Mohd Hafeez Bin. “Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension.” 2015. Web. 24 Sep 2017.

Vancouver:

Osman MHB. Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2015. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/32210.

Council of Science Editors:

Osman MHB. Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2015. Available from: http://hdl.handle.net/1887/32210

5. Lemaitre, Jérôme. Model-based specification and design of large-scale embedded signal processing systems.

Degree: 2008, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 In the digital part of large-scale phase array radio telescopes, the dominant streaming signal processing part is configured at run-time through a reactive and decentralized… (more)

Subjects/Keywords: Embedded systems; Large-scale systems; Run-time control and monitoring; Embedded systems; Large-scale systems; Run-time control and monitoring

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APA (6th Edition):

Lemaitre, J. (2008). Model-based specification and design of large-scale embedded signal processing systems. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/13126

Chicago Manual of Style (16th Edition):

Lemaitre, Jérôme. “Model-based specification and design of large-scale embedded signal processing systems.” 2008. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/13126.

MLA Handbook (7th Edition):

Lemaitre, Jérôme. “Model-based specification and design of large-scale embedded signal processing systems.” 2008. Web. 24 Sep 2017.

Vancouver:

Lemaitre J. Model-based specification and design of large-scale embedded signal processing systems. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2008. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/13126.

Council of Science Editors:

Lemaitre J. Model-based specification and design of large-scale embedded signal processing systems. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2008. Available from: http://hdl.handle.net/1887/13126

6. Khedr, Ayman El_Sayed. Adoption of new technologies in a highly uncertain environment: the case of knowledge discovery in databases for customer relationship management in Egyptian public banks.

Degree: 2008, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 “How can we better understand the process of adopting a new technology and its impact on business value in situations of high uncertainty?” In short,… (more)

Subjects/Keywords: Technology Adoption; Knowledge Discovery in Database (KDD); Customer Relationship Management (CRM); Banking Sector; Technology Adoption; Knowledge Discovery in Database (KDD); Customer Relationship Management (CRM); Banking Sector

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APA (6th Edition):

Khedr, A. E. (2008). Adoption of new technologies in a highly uncertain environment: the case of knowledge discovery in databases for customer relationship management in Egyptian public banks. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/13135

Chicago Manual of Style (16th Edition):

Khedr, Ayman El_Sayed. “Adoption of new technologies in a highly uncertain environment: the case of knowledge discovery in databases for customer relationship management in Egyptian public banks.” 2008. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/13135.

MLA Handbook (7th Edition):

Khedr, Ayman El_Sayed. “Adoption of new technologies in a highly uncertain environment: the case of knowledge discovery in databases for customer relationship management in Egyptian public banks.” 2008. Web. 24 Sep 2017.

Vancouver:

Khedr AE. Adoption of new technologies in a highly uncertain environment: the case of knowledge discovery in databases for customer relationship management in Egyptian public banks. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2008. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/13135.

Council of Science Editors:

Khedr AE. Adoption of new technologies in a highly uncertain environment: the case of knowledge discovery in databases for customer relationship management in Egyptian public banks. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2008. Available from: http://hdl.handle.net/1887/13135

7. Živković, Vladimir Dobrosav. Execution platform modeling for system-level architecture performance analysis.

Degree: 2008, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 Today's embedded systems are designed for more complex and more computationally-intensive applications than they were a decade ago. Most if not every embedded system designed… (more)

Subjects/Keywords: Embedded system; Exploration; Heterogeneous system; Multiprocessors; Platform-based; Representations; Symbolic Programs; Transforming; Embedded system; Exploration; Heterogeneous system; Multiprocessors; Platform-based; Representations; Symbolic Programs; Transforming

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APA (6th Edition):

Živković, V. D. (2008). Execution platform modeling for system-level architecture performance analysis. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/13140

Chicago Manual of Style (16th Edition):

Živković, Vladimir Dobrosav. “Execution platform modeling for system-level architecture performance analysis.” 2008. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/13140.

MLA Handbook (7th Edition):

Živković, Vladimir Dobrosav. “Execution platform modeling for system-level architecture performance analysis.” 2008. Web. 24 Sep 2017.

Vancouver:

Živković VD. Execution platform modeling for system-level architecture performance analysis. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2008. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/13140.

Council of Science Editors:

Živković VD. Execution platform modeling for system-level architecture performance analysis. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2008. Available from: http://hdl.handle.net/1887/13140

8. Colas, Fabrice Pierre Robert. Data mining scenarios for the discovery of subtypes and the comparison of algorithms.

Degree: 2009, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 A data mining scenario is a logical sequence of steps to infer patterns from data. In this thesis, we present two scenarios. Our first scenario… (more)

Subjects/Keywords: Bioinformatics; Data; Mining; Statistics; Subtype; Text; Bioinformatics; Data; Mining; Statistics; Subtype; Text

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APA (6th Edition):

Colas, F. P. R. (2009). Data mining scenarios for the discovery of subtypes and the comparison of algorithms. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/13575

Chicago Manual of Style (16th Edition):

Colas, Fabrice Pierre Robert. “Data mining scenarios for the discovery of subtypes and the comparison of algorithms.” 2009. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/13575.

MLA Handbook (7th Edition):

Colas, Fabrice Pierre Robert. “Data mining scenarios for the discovery of subtypes and the comparison of algorithms.” 2009. Web. 24 Sep 2017.

Vancouver:

Colas FPR. Data mining scenarios for the discovery of subtypes and the comparison of algorithms. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/13575.

Council of Science Editors:

Colas FPR. Data mining scenarios for the discovery of subtypes and the comparison of algorithms. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. Available from: http://hdl.handle.net/1887/13575

9. Nikolov, Hristo N. System-level design methodology for streaming multi-processor embedded systems.

Degree: 2009, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 This dissertation introduces new design methodology for automated design, programming, and implementation of multiprocessor systems-on-chip (MPSoCs) starting at a high level of abstraction. The proposed… (more)

Subjects/Keywords: Design automation for MPSoCs; Kahn Process Networks; Multi-Processor Systems-on-Chip (MPSoCs) design; Platform-based design; System-level design; Design automation for MPSoCs; Kahn Process Networks; Multi-Processor Systems-on-Chip (MPSoCs) design; Platform-based design; System-level design

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APA (6th Edition):

Nikolov, H. N. (2009). System-level design methodology for streaming multi-processor embedded systems. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/13729

Chicago Manual of Style (16th Edition):

Nikolov, Hristo N. “System-level design methodology for streaming multi-processor embedded systems.” 2009. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/13729.

MLA Handbook (7th Edition):

Nikolov, Hristo N. “System-level design methodology for streaming multi-processor embedded systems.” 2009. Web. 24 Sep 2017.

Vancouver:

Nikolov HN. System-level design methodology for streaming multi-processor embedded systems. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/13729.

Council of Science Editors:

Nikolov HN. System-level design methodology for streaming multi-processor embedded systems. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. Available from: http://hdl.handle.net/1887/13729

10. Li, Rui. Mixed-integer evolution strategies for parameter optimization and their applications to medical image analysis.

Degree: 2009, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 The target of this work is to extend the canonical Evolution Strategies (ES) from traditional real-valued parameter optimization domain to mixed-integer parameter optimization domain. This… (more)

Subjects/Keywords: Computer Tomographic Angiography Image Analysis; Evolution Strategies; Evolutionary Computation; Intravascular Ultrasound Image Analysis; Medical Image Analysis; Mixed-Integer Evolution Strategies; Computer Tomographic Angiography Image Analysis; Evolution Strategies; Evolutionary Computation; Intravascular Ultrasound Image Analysis; Medical Image Analysis; Mixed-Integer Evolution Strategies

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APA (6th Edition):

Li, R. (2009). Mixed-integer evolution strategies for parameter optimization and their applications to medical image analysis. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/14049

Chicago Manual of Style (16th Edition):

Li, Rui. “Mixed-integer evolution strategies for parameter optimization and their applications to medical image analysis.” 2009. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/14049.

MLA Handbook (7th Edition):

Li, Rui. “Mixed-integer evolution strategies for parameter optimization and their applications to medical image analysis.” 2009. Web. 24 Sep 2017.

Vancouver:

Li R. Mixed-integer evolution strategies for parameter optimization and their applications to medical image analysis. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/14049.

Council of Science Editors:

Li R. Mixed-integer evolution strategies for parameter optimization and their applications to medical image analysis. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. Available from: http://hdl.handle.net/1887/14049

11. Cocx, Tim Kristian. Algorithmic tools for data-oriented law enforcement.

Degree: 2009, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 The increase in capabilities of information technology of the last decade has led to a large increase in the creation of raw data. Data mining,… (more)

Subjects/Keywords: Algorithms; Computer science; Data mining; Law enforcement; Algorithms; Computer science; Data mining; Law enforcement

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APA (6th Edition):

Cocx, T. K. (2009). Algorithmic tools for data-oriented law enforcement. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/14450

Chicago Manual of Style (16th Edition):

Cocx, Tim Kristian. “Algorithmic tools for data-oriented law enforcement.” 2009. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/14450.

MLA Handbook (7th Edition):

Cocx, Tim Kristian. “Algorithmic tools for data-oriented law enforcement.” 2009. Web. 24 Sep 2017.

Vancouver:

Cocx TK. Algorithmic tools for data-oriented law enforcement. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/14450.

Council of Science Editors:

Cocx TK. Algorithmic tools for data-oriented law enforcement. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. Available from: http://hdl.handle.net/1887/14450

12. Belmamoune, Mounia. Spatio-temporal framework for integrative analysis of zebrafish developmental studies.

Degree: 2009, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 Bio-informatica kan omschreven worden als het toepassen van algoritmen om meerwaarde te verkrijgen uit data afkomstig van biomedisch en/of biologisch onderzoek. In bio-informatica wordt onderzoek… (more)

Subjects/Keywords: 3D; Developmental biology; Gene expression; Integrative framework; Interoperability; Ontology; Zebrafish; 3D; Developmental biology; Gene expression; Integrative framework; Interoperability; Ontology; Zebrafish

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APA (6th Edition):

Belmamoune, M. (2009). Spatio-temporal framework for integrative analysis of zebrafish developmental studies. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/14433

Chicago Manual of Style (16th Edition):

Belmamoune, Mounia. “Spatio-temporal framework for integrative analysis of zebrafish developmental studies.” 2009. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/14433.

MLA Handbook (7th Edition):

Belmamoune, Mounia. “Spatio-temporal framework for integrative analysis of zebrafish developmental studies.” 2009. Web. 24 Sep 2017.

Vancouver:

Belmamoune M. Spatio-temporal framework for integrative analysis of zebrafish developmental studies. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/14433.

Council of Science Editors:

Belmamoune M. Spatio-temporal framework for integrative analysis of zebrafish developmental studies. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. Available from: http://hdl.handle.net/1887/14433

13. Röttmer, Nicole. Innovation performance and clusters: a dynamic capability perspective on regional technology clusters.

Degree: 2009, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 This research provides a novel, empirically tested, actionable theory of cluster innovativeness. Cluster innovativeness has for long been subject of research and resulting policy efforts.… (more)

Subjects/Keywords: Dynamic capabilities; Innovative milieux; Innovativeness; Inter-organizational capabilities; Regional innovation systems; Regional networks; Satellite navigation; Technology clusters; Dynamic capabilities; Innovative milieux; Innovativeness; Inter-organizational capabilities; Regional innovation systems; Regional networks; Satellite navigation; Technology clusters

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APA (6th Edition):

Röttmer, N. (2009). Innovation performance and clusters: a dynamic capability perspective on regional technology clusters. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/14541

Chicago Manual of Style (16th Edition):

Röttmer, Nicole. “Innovation performance and clusters: a dynamic capability perspective on regional technology clusters.” 2009. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/14541.

MLA Handbook (7th Edition):

Röttmer, Nicole. “Innovation performance and clusters: a dynamic capability perspective on regional technology clusters.” 2009. Web. 24 Sep 2017.

Vancouver:

Röttmer N. Innovation performance and clusters: a dynamic capability perspective on regional technology clusters. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/14541.

Council of Science Editors:

Röttmer N. Innovation performance and clusters: a dynamic capability perspective on regional technology clusters. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. Available from: http://hdl.handle.net/1887/14541

14. Laros, Jeroen Franciscus Jacobus. Metrics and visualisation for crime analysis and genomics.

Degree: 2009, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 In this thesis, a configurable generalisation of some well-known distance measures is introduced. Parameters are given to use this metric in the area of law… (more)

Subjects/Keywords: Data Mining; Dimension reduction; Genomics; Metrics; Visualisation; Data Mining; Dimension reduction; Genomics; Metrics; Visualisation

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APA (6th Edition):

Laros, J. F. J. (2009). Metrics and visualisation for crime analysis and genomics. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/14533

Chicago Manual of Style (16th Edition):

Laros, Jeroen Franciscus Jacobus. “Metrics and visualisation for crime analysis and genomics.” 2009. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/14533.

MLA Handbook (7th Edition):

Laros, Jeroen Franciscus Jacobus. “Metrics and visualisation for crime analysis and genomics.” 2009. Web. 24 Sep 2017.

Vancouver:

Laros JFJ. Metrics and visualisation for crime analysis and genomics. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/14533.

Council of Science Editors:

Laros JFJ. Metrics and visualisation for crime analysis and genomics. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. Available from: http://hdl.handle.net/1887/14533

15. Rohling, Johannes Hermanus Theodoor. Network properties of the mammalian circadian clock.

Degree: 2009, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 The biological clock regulates daily and seasonal rhythms in mammals. This clock is located in the suprachiasmatic nuclei (SCN), which are two small nuclei each… (more)

Subjects/Keywords: Circadian clock; Suprachiasmatic nucleus; Neuronal network; Simulation; Photic entrainment; Modeling; Circadian clock; Suprachiasmatic nucleus; Neuronal network; Simulation; Photic entrainment; Modeling

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APA (6th Edition):

Rohling, J. H. T. (2009). Network properties of the mammalian circadian clock. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/14520

Chicago Manual of Style (16th Edition):

Rohling, Johannes Hermanus Theodoor. “Network properties of the mammalian circadian clock.” 2009. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/14520.

MLA Handbook (7th Edition):

Rohling, Johannes Hermanus Theodoor. “Network properties of the mammalian circadian clock.” 2009. Web. 24 Sep 2017.

Vancouver:

Rohling JHT. Network properties of the mammalian circadian clock. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/14520.

Council of Science Editors:

Rohling JHT. Network properties of the mammalian circadian clock. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2009. Available from: http://hdl.handle.net/1887/14520

16. Putten, Petrus Wilhelmus Henricus van der. On data mining in context: cases, fusion and evaluation.

Degree: 2010, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 Data mining can be seen as a process, with modeling as the core step. However, other steps such as planning, data preparation, evaluation and deployment… (more)

Subjects/Keywords: Knowledge discovery; Data mining; Machine learning; Data mining process; Real world applications; Data fusion; Bias variance; Model profiling; Knowledge discovery; Data mining; Machine learning; Data mining process; Real world applications; Data fusion; Bias variance; Model profiling

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APA (6th Edition):

Putten, P. W. H. v. d. (2010). On data mining in context: cases, fusion and evaluation. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/14600

Chicago Manual of Style (16th Edition):

Putten, Petrus Wilhelmus Henricus van der. “On data mining in context: cases, fusion and evaluation.” 2010. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/14600.

MLA Handbook (7th Edition):

Putten, Petrus Wilhelmus Henricus van der. “On data mining in context: cases, fusion and evaluation.” 2010. Web. 24 Sep 2017.

Vancouver:

Putten PWHvd. On data mining in context: cases, fusion and evaluation. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2010. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/14600.

Council of Science Editors:

Putten PWHvd. On data mining in context: cases, fusion and evaluation. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2010. Available from: http://hdl.handle.net/1887/14600

17. Thomée, Bart. A picture is worth a thousand words: content-based image retrieval techniques.

Degree: 2010, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 In my dissertation I investigate techniques for improving the state of the art in content-based image retrieval. To place my work into context, I highlight… (more)

Subjects/Keywords: Content-based image retrieval; Artificial imagination; Near-duplicate image detection; Visual exploration and search; Large-scale search; Web search; Scene completion; Content-based image retrieval; Artificial imagination; Near-duplicate image detection; Visual exploration and search; Large-scale search; Web search; Scene completion

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APA (6th Edition):

Thomée, B. (2010). A picture is worth a thousand words: content-based image retrieval techniques. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/16108

Chicago Manual of Style (16th Edition):

Thomée, Bart. “A picture is worth a thousand words: content-based image retrieval techniques.” 2010. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/16108.

MLA Handbook (7th Edition):

Thomée, Bart. “A picture is worth a thousand words: content-based image retrieval techniques.” 2010. Web. 24 Sep 2017.

Vancouver:

Thomée B. A picture is worth a thousand words: content-based image retrieval techniques. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2010. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/16108.

Council of Science Editors:

Thomée B. A picture is worth a thousand words: content-based image retrieval techniques. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2010. Available from: http://hdl.handle.net/1887/16108

18. Meijer, Sjoerd. Transformations for polyhedral process networks.

Degree: 2010, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 We use the polyhedral process network (PPN) model of computation to program and map streaming applications onto embedded Multi-Processor Systems on Chip (MPSoCs) platforms. The… (more)

Subjects/Keywords: Programming of MPSoC; Polyhedral process networks; Transformations; Programming of MPSoC; Polyhedral process networks; Transformations

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APA (6th Edition):

Meijer, S. (2010). Transformations for polyhedral process networks. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/16221

Chicago Manual of Style (16th Edition):

Meijer, Sjoerd. “Transformations for polyhedral process networks.” 2010. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/16221.

MLA Handbook (7th Edition):

Meijer, Sjoerd. “Transformations for polyhedral process networks.” 2010. Web. 24 Sep 2017.

Vancouver:

Meijer S. Transformations for polyhedral process networks. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2010. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/16221.

Council of Science Editors:

Meijer S. Transformations for polyhedral process networks. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2010. Available from: http://hdl.handle.net/1887/16221

19. Stupka, Elia. Fish genomes: a powerful tool to uncover new functional elements in vertebrates.

Degree: 2011, Department of Computer Science, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 This thesis spans several years of work dedicated to understanding fish genomes. In the first chapter it describes the genome of the first fish for… (more)

Subjects/Keywords: Genomics; Bioinformatics; Comparative genomics; Regulatory elements; De novo assembley; Transcription; Genomics; Bioinformatics; Comparative genomics; Regulatory elements; De novo assembley; Transcription

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APA (6th Edition):

Stupka, E. (2011). Fish genomes: a powerful tool to uncover new functional elements in vertebrates. (Doctoral Dissertation). Department of Computer Science, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/17640

Chicago Manual of Style (16th Edition):

Stupka, Elia. “Fish genomes: a powerful tool to uncover new functional elements in vertebrates.” 2011. Doctoral Dissertation, Department of Computer Science, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/17640.

MLA Handbook (7th Edition):

Stupka, Elia. “Fish genomes: a powerful tool to uncover new functional elements in vertebrates.” 2011. Web. 24 Sep 2017.

Vancouver:

Stupka E. Fish genomes: a powerful tool to uncover new functional elements in vertebrates. [Internet] [Doctoral dissertation]. Department of Computer Science, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2011. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/17640.

Council of Science Editors:

Stupka E. Fish genomes: a powerful tool to uncover new functional elements in vertebrates. [Doctoral Dissertation]. Department of Computer Science, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2011. Available from: http://hdl.handle.net/1887/17640

20. Zhang, Yanju. Heterogeneous data analysis for annotation of microRNAs and novel genome assembly.

Degree: 2011, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 This thesis is the collection of four published papers demonstrating annotation of genes and microRNAs with the aid of bioinformatics, in particular using heterogeneous data… (more)

Subjects/Keywords: Carp genome assembly; Gene annotation; Heterogeneous Data Analysis; Innate immune gene; Integration; MicroRNA target prediction

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APA (6th Edition):

Zhang, Y. (2011). Heterogeneous data analysis for annotation of microRNAs and novel genome assembly. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/18145

Chicago Manual of Style (16th Edition):

Zhang, Yanju. “Heterogeneous data analysis for annotation of microRNAs and novel genome assembly.” 2011. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/18145.

MLA Handbook (7th Edition):

Zhang, Yanju. “Heterogeneous data analysis for annotation of microRNAs and novel genome assembly.” 2011. Web. 24 Sep 2017.

Vancouver:

Zhang Y. Heterogeneous data analysis for annotation of microRNAs and novel genome assembly. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2011. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/18145.

Council of Science Editors:

Zhang Y. Heterogeneous data analysis for annotation of microRNAs and novel genome assembly. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2011. Available from: http://hdl.handle.net/1887/18145

21. Mensink, Wouter. Subject of innovation or: how to redevelop 'the patient' with technology.

Degree: 2011, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 Michel Foucault’s work concerned ‘subjectivation’. Contemporary critics argue that his work on ‘surveillance societies’ is based on the industrial organisation paradigm. In the information era,… (more)

Subjects/Keywords: Actor-network theory; Direct payments; Electronic health record; Governmentality; Healthcare innovation; Living labs; Postpanopticism

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APA (6th Edition):

Mensink, W. (2011). Subject of innovation or: how to redevelop 'the patient' with technology. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/18258

Chicago Manual of Style (16th Edition):

Mensink, Wouter. “Subject of innovation or: how to redevelop 'the patient' with technology.” 2011. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/18258.

MLA Handbook (7th Edition):

Mensink, Wouter. “Subject of innovation or: how to redevelop 'the patient' with technology.” 2011. Web. 24 Sep 2017.

Vancouver:

Mensink W. Subject of innovation or: how to redevelop 'the patient' with technology. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2011. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/18258.

Council of Science Editors:

Mensink W. Subject of innovation or: how to redevelop 'the patient' with technology. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2011. Available from: http://hdl.handle.net/1887/18258

22. Minh, Tran Ngoc. Workload modeling and performance evaluation in parallel systems.

Degree: 2012, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 Scheduling plays a significant role in producing good performance for clusters and grids. Smart scheduling policies in these systems are essential to enable efficient resource… (more)

Subjects/Keywords: Parallel systems; Performance evaluation; Performance prediction; Scheduling; Workload features; Workload modeling

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APA (6th Edition):

Minh, T. N. (2012). Workload modeling and performance evaluation in parallel systems. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/18620

Chicago Manual of Style (16th Edition):

Minh, Tran Ngoc. “Workload modeling and performance evaluation in parallel systems.” 2012. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/18620.

MLA Handbook (7th Edition):

Minh, Tran Ngoc. “Workload modeling and performance evaluation in parallel systems.” 2012. Web. 24 Sep 2017.

Vancouver:

Minh TN. Workload modeling and performance evaluation in parallel systems. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2012. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/18620.

Council of Science Editors:

Minh TN. Workload modeling and performance evaluation in parallel systems. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2012. Available from: http://hdl.handle.net/1887/18620

23. Kruisselbrink, Johannes Willem. Evolution strategies for robust optimization.

Degree: 2012, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden university

 Real-world (black-box) optimization problems often involve various types of uncertainties and noise emerging in different parts of the optimization problem. When this is not accounted… (more)

Subjects/Keywords: Evolution Strategies; Evolutionary Algorithms; Input Uncertainty; Noise; Noisy Objective Functions; Robust Optimization; Uncertainty

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APA (6th Edition):

Kruisselbrink, J. W. (2012). Evolution strategies for robust optimization. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden university. Retrieved from http://hdl.handle.net/1887/18931

Chicago Manual of Style (16th Edition):

Kruisselbrink, Johannes Willem. “Evolution strategies for robust optimization.” 2012. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden university. Accessed September 24, 2017. http://hdl.handle.net/1887/18931.

MLA Handbook (7th Edition):

Kruisselbrink, Johannes Willem. “Evolution strategies for robust optimization.” 2012. Web. 24 Sep 2017.

Vancouver:

Kruisselbrink JW. Evolution strategies for robust optimization. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden university; 2012. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/18931.

Council of Science Editors:

Kruisselbrink JW. Evolution strategies for robust optimization. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden university; 2012. Available from: http://hdl.handle.net/1887/18931

24. Heinle, Ingo Matthias. Application of evolutionary strategies to industrial forming simulations for the identification and validation of constitutive laws.

Degree: 2012, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 In the last decade, the deployment of simulation systems in the automotive industry on the basis of the finite element method (FEM) became a standard… (more)

Subjects/Keywords: Calibration; Constitutive laws; Evolutionary strategies; Experiments; One dimensional strategies; Optimization; Scalarization; Sheet metal forming; Validation; Yield locus

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APA (6th Edition):

Heinle, I. M. (2012). Application of evolutionary strategies to industrial forming simulations for the identification and validation of constitutive laws. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/19028

Chicago Manual of Style (16th Edition):

Heinle, Ingo Matthias. “Application of evolutionary strategies to industrial forming simulations for the identification and validation of constitutive laws.” 2012. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/19028.

MLA Handbook (7th Edition):

Heinle, Ingo Matthias. “Application of evolutionary strategies to industrial forming simulations for the identification and validation of constitutive laws.” 2012. Web. 24 Sep 2017.

Vancouver:

Heinle IM. Application of evolutionary strategies to industrial forming simulations for the identification and validation of constitutive laws. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2012. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/19028.

Council of Science Editors:

Heinle IM. Application of evolutionary strategies to industrial forming simulations for the identification and validation of constitutive laws. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2012. Available from: http://hdl.handle.net/1887/19028

25. Duivesteijn, Wouter. Exceptional model mining.

Degree: 2013, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 Finding subsets of a dataset that somehow deviate from the norm, i.e. where something interesting is going on, is a classical Data Mining task. In… (more)

Subjects/Keywords: Exceptional model mining; Supervised local pattern mining; Regression; Bayesian networks; Subgroup discovery

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APA (6th Edition):

Duivesteijn, W. (2013). Exceptional model mining. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/21760

Chicago Manual of Style (16th Edition):

Duivesteijn, Wouter. “Exceptional model mining.” 2013. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/21760.

MLA Handbook (7th Edition):

Duivesteijn, Wouter. “Exceptional model mining.” 2013. Web. 24 Sep 2017.

Vancouver:

Duivesteijn W. Exceptional model mining. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2013. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/21760.

Council of Science Editors:

Duivesteijn W. Exceptional model mining. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2013. Available from: http://hdl.handle.net/1887/21760

26. Koch, Patrick. Efficient tuning in supervised machine learning.

Degree: 2013, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 The tuning of learning algorithm parameters has become more and more important during the last years. With the fast growth of computational power and available… (more)

Subjects/Keywords: Machine learning; Parameter tuning; Model-assisted optimization; Sequential parameter optimization

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APA (6th Edition):

Koch, P. (2013). Efficient tuning in supervised machine learning. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/22055

Chicago Manual of Style (16th Edition):

Koch, Patrick. “Efficient tuning in supervised machine learning.” 2013. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/22055.

MLA Handbook (7th Edition):

Koch, Patrick. “Efficient tuning in supervised machine learning.” 2013. Web. 24 Sep 2017.

Vancouver:

Koch P. Efficient tuning in supervised machine learning. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2013. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/22055.

Council of Science Editors:

Koch P. Efficient tuning in supervised machine learning. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2013. Available from: http://hdl.handle.net/1887/22055

27. Nezhinsky, Alexander Evgenievich. Pattern recognition in high-throughput zebrafish imaging.

Degree: 2013, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 High Throughput (HT) methods are high volume experimental approaches that are common in the fields of the life-sciences. The instrumentation for these methods differs per… (more)

Subjects/Keywords: Image analysis; Pattern recognition; High Throughput; Template matching; Zebrafish; Segmentation

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APA (6th Edition):

Nezhinsky, A. E. (2013). Pattern recognition in high-throughput zebrafish imaging. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/22286

Chicago Manual of Style (16th Edition):

Nezhinsky, Alexander Evgenievich. “Pattern recognition in high-throughput zebrafish imaging.” 2013. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/22286.

MLA Handbook (7th Edition):

Nezhinsky, Alexander Evgenievich. “Pattern recognition in high-throughput zebrafish imaging.” 2013. Web. 24 Sep 2017.

Vancouver:

Nezhinsky AE. Pattern recognition in high-throughput zebrafish imaging. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2013. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/22286.

Council of Science Editors:

Nezhinsky AE. Pattern recognition in high-throughput zebrafish imaging. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2013. Available from: http://hdl.handle.net/1887/22286

28. Reehuis, Edgar Julius Jeronimus. Guiding evolutionary search towards innovative solutions.

Degree: 2013, Leiden Institute of Advanced Computer Science (LIACS), Natural Computing Group, Faculty of Science, Leiden University

 The main goal of this work is to develop a method that, operating on top of an Evolutionary Algorithm, increases its likeliness of finding innovative… (more)

Subjects/Keywords: Design optimization; Surrogate models; Novelty; Interestingness; Aerodynamic simulation; Evolutionary algorithms

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APA (6th Edition):

Reehuis, E. J. J. (2013). Guiding evolutionary search towards innovative solutions. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Natural Computing Group, Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/22875

Chicago Manual of Style (16th Edition):

Reehuis, Edgar Julius Jeronimus. “Guiding evolutionary search towards innovative solutions.” 2013. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Natural Computing Group, Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/22875.

MLA Handbook (7th Edition):

Reehuis, Edgar Julius Jeronimus. “Guiding evolutionary search towards innovative solutions.” 2013. Web. 24 Sep 2017.

Vancouver:

Reehuis EJJ. Guiding evolutionary search towards innovative solutions. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Natural Computing Group, Faculty of Science, Leiden University; 2013. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/22875.

Council of Science Editors:

Reehuis EJJ. Guiding evolutionary search towards innovative solutions. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Natural Computing Group, Faculty of Science, Leiden University; 2013. Available from: http://hdl.handle.net/1887/22875

29. Gouw, Stijn de. Combining monitoring with run-time assertion checking.

Degree: 2013, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 We develop a new technique for Run-time Checking for two object-oriented languages: Java and the Abstract Behavioral Specification language ABS. In object-oriented languages, objects communicate… (more)

Subjects/Keywords: Monitoring; Run-time Assertion Checking; Histories; Attribute Grammars; Traces

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APA (6th Edition):

Gouw, S. d. (2013). Combining monitoring with run-time assertion checking. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/22891

Chicago Manual of Style (16th Edition):

Gouw, Stijn de. “Combining monitoring with run-time assertion checking.” 2013. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/22891.

MLA Handbook (7th Edition):

Gouw, Stijn de. “Combining monitoring with run-time assertion checking.” 2013. Web. 24 Sep 2017.

Vancouver:

Gouw Sd. Combining monitoring with run-time assertion checking. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2013. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/22891.

Council of Science Editors:

Gouw Sd. Combining monitoring with run-time assertion checking. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2013. Available from: http://hdl.handle.net/1887/22891

30. Haastregt, Sven Joseph Johannes van. Estimation and optimization of the performance of polyhedral process networks.

Degree: 2013, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University

 A system-level design methodology such as Daedalus provides designers with a forward synthesis flow for automated design, programming, and implementation of multiprocessor systems-on-chip. Daedalus employs… (more)

Subjects/Keywords: Polyhedral process networks; Performance estimation; System-level design; Multiprocessor Systems-on-Chip (MPSoCs) design; High-level synthesis

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APA (6th Edition):

Haastregt, S. J. J. v. (2013). Estimation and optimization of the performance of polyhedral process networks. (Doctoral Dissertation). Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Retrieved from http://hdl.handle.net/1887/22911

Chicago Manual of Style (16th Edition):

Haastregt, Sven Joseph Johannes van. “Estimation and optimization of the performance of polyhedral process networks.” 2013. Doctoral Dissertation, Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University. Accessed September 24, 2017. http://hdl.handle.net/1887/22911.

MLA Handbook (7th Edition):

Haastregt, Sven Joseph Johannes van. “Estimation and optimization of the performance of polyhedral process networks.” 2013. Web. 24 Sep 2017.

Vancouver:

Haastregt SJJv. Estimation and optimization of the performance of polyhedral process networks. [Internet] [Doctoral dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2013. [cited 2017 Sep 24]. Available from: http://hdl.handle.net/1887/22911.

Council of Science Editors:

Haastregt SJJv. Estimation and optimization of the performance of polyhedral process networks. [Doctoral Dissertation]. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University; 2013. Available from: http://hdl.handle.net/1887/22911

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