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Joost Vennekens
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2020 – today
- 2024
- [c73]Christian Fleiner, Joost Vennekens:
Towards Effective Management of Verbal Probability Expressions Using a Co-Learning Approach. HHAI 2024: 124-133 - [c72]Benjamin Callewaert, Simon Vandevelde, Nuno Comenda, Bart Coppens, Nicholas Decleyre, Joost Vennekens:
Extending Feature Models with Types. HICSS 2024: 5206-5215 - [c71]Dorde Markovic, Simon Vandevelde, Linde Vanbesien, Joost Vennekens, Marc Denecker:
An epistemic logic for modeling decisions in the context of incomplete knowledge. SAC 2024: 789-793 - [i37]Laurent Mertens, Elahe Yargholi, Hans Op de Beeck, Jan Van den Stock, Joost Vennekens:
FindingEmo: An Image Dataset for Emotion Recognition in the Wild. CoRR abs/2402.01355 (2024) - [i36]Benjamin Callewaert, Joost Vennekens:
Answer Set Programming for Flexible Payroll Management. CoRR abs/2403.12823 (2024) - [i35]Youssef Doulfoukar, Laurent Mertens, Joost Vennekens:
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition. CoRR abs/2407.14314 (2024) - [i34]Lucas Van Laer, Simon Vandevelde, Joost Vennekens:
Efficiently grounding FOL using bit vectors. CoRR abs/2408.07980 (2024) - [i33]Vaishak Belle, Hana Chockler, Shannon Vallor, Kush R. Varshney, Joost Vennekens, Sander Beckers:
Trustworthiness and Responsibility in AI - Causality, Learning, and Verification (Dagstuhl Seminar 24121). Dagstuhl Reports 14(3): 75-91 (2024) - 2023
- [j26]Simon Vandevelde, Bram Aerts, Joost Vennekens:
Tackling the DM Challenges with cDMN: A Tight Integration of DMN and Constraint Reasoning. Theory Pract. Log. Program. 23(3): 535-558 (2023) - [j25]Pierre Carbonnelle, Joost Vennekens, Marc Denecker, Bart Bogaerts:
Interactive Model Expansion in an Observable Environment. Theory Pract. Log. Program. 23(4): 648-663 (2023) - [c70]Simon Vandevelde, Joost Vennekens:
FOLL-E: Teaching First Order Logic to Children. AAAI 2023: 15869-15876 - [c69]Joost Vennekens, Marjolein Deryck, Christian Fleiner:
First International Workshop on Reciprocal Knowledge Elicitation for Human-Agent Collaboration. HAI 2023: 493-495 - [c68]Laurent Mertens, Elahe Yargholi, Jan Van den Stock, Hans Op de Beeck, Joost Vennekens:
Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures. ICANN (1) 2023: 491-503 - [c67]Alexandre Goossens, Simon Vandevelde, Jan Vanthienen, Joost Vennekens:
GPT-3 for Decision Logic Modeling. RuleML+RR (Companion) 2023 - [c66]Benjamin Callewaert, Nicholas Decleyre, Simon Vandevelde, Nuno Comenda, Bart Coppens, Joost Vennekens:
Facilitating Investment Strategy Negotiations Through Logic. SSCI 2023: 103-108 - [i32]Pierre Carbonnelle, Joost Vennekens, Bart Bogaerts, Marc Denecker:
Interactive Model Expansion in an Observable Environment. CoRR abs/2305.17140 (2023) - [i31]Simon Vandevelde, Jeroen Jordens, Bart Van Doninck, Maarten Witters, Joost Vennekens:
Knowledge-Based Support for Adhesive Selection: Will it Stick? CoRR abs/2311.06302 (2023) - [i30]Dorde Markovic, Simon Vandevelde, Linde Vanbesien, Joost Vennekens, Marc Denecker:
An epistemic logic for modeling decisions in the context of incomplete knowledge. CoRR abs/2312.11186 (2023) - [i29]Wouter Groeneveld, Laurens Luyten, Joost Vennekens, Kris Aerts:
Students' and Professionals' Perceived Creativity In Software Engineering: A Comparative Study. CoRR abs/2312.12014 (2023) - 2022
- [j24]Bram Aerts, Marjolein Deryck, Joost Vennekens:
Knowledge-based decision support for machine component design: A case study. Expert Syst. Appl. 187: 115869 (2022) - [j23]Wouter Groeneveld, Joost Vennekens, Kris Aerts:
Identifying Non-Technical Skill Gaps in Software Engineering Education: What Experts Expect But Students Don't Learn. ACM Trans. Comput. Educ. 22(1): 1:1-1:21 (2022) - [c65]Simon Vandevelde, Benjamin Callewaert, Joost Vennekens:
Context-Aware Verification of DMN. HICSS 2022: 1-8 - [c64]Wouter Groeneveld, Lynn Van den Broeck, Joost Vennekens, Kris Aerts:
Self-Assessing Creative Problem Solving for Aspiring Software Developers: A Pilot Study. ITiCSE (1) 2022: 5-11 - [c63]Simon Vandevelde, Jeroen Jordens, Bart Van Doninck, Maarten Witters, Joost Vennekens:
Knowledge-Based Support for Adhesive Selection. LPNMR 2022: 445-455 - [c62]Benjamin Callewaert, Joost Vennekens:
ASP for Flexible Payroll Management. LPNMR 2022: 456-469 - [c61]Ðorde Markovic, Simon Vandevelde, Joost Vennekens, Marc Denecker:
On the Semantics of "null" in DMN: Undefined is not Unknown. RuleML+RR (Companion) 2022 - [c60]Wouter Groeneveld, Brett A. Becker, Joost Vennekens:
How Creatively Are We Teaching and Assessing Creativity in Computing Education: A Systematic Literature Review. SIGCSE (1) 2022: 934-940 - [c59]Simon Vandevelde, Benjamin Callewaert, Joost Vennekens:
Interactive feature modeling with background knowledge for validation and configuration. SPLC (B) 2022: 209-216 - [i28]Laurent Mertens, Joost Vennekens:
Compressing Word Embeddings Using Syllables. CoRR abs/2201.04913 (2022) - [i27]Simon Vandevelde, Joost Vennekens:
Problife: a Probabilistic Game of Life. CoRR abs/2201.09521 (2022) - [i26]Pierre Carbonnelle, Simon Vandevelde, Joost Vennekens, Marc Denecker:
IDP-Z3: a reasoning engine for FO(.). CoRR abs/2202.00343 (2022) - [i25]Wouter Groeneveld, Lynn Van den Broeck, Joost Vennekens, Kris Aerts:
Self-Assessing Creative Problem Solving for Aspiring Software Developers: A Pilot Study. CoRR abs/2203.13565 (2022) - 2021
- [j22]Alex Brik, Andrea Formisano, Yanhong Annie Liu, Joost Vennekens:
Introduction to the 37th International Conference on Logic Programming Special Issue I. Theory Pract. Log. Program. 21(5): 521-526 (2021) - [j21]Alex Brik, Andrea Formisano, Yanhong Annie Liu, Joost Vennekens:
Introduction to the 37th International Conference on Logic Programming Special Issue II. Theory Pract. Log. Program. 21(6): 698-699 (2021) - [j20]Kylian Van Dessel, Jo Devriendt, Joost Vennekens:
as Input Language for Answer Set Solvers. Theory Pract. Log. Program. 21(6): 785-801 (2021) - [c58]Emad Eldeen Elakehal, Joost Vennekens:
A Logic-based Multiagent Product Configuration Model. ACSOS-C 2021: 50-55 - [c57]Wouter Groeneveld, Laurens Luyten, Joost Vennekens, Kris Aerts:
Exploring the Role of Creativity in Software Engineering. ICSE-SEIS 2021: 1-9 - [c56]Marjolein Deryck, Nuno Comenda, Bart Coppens, Joost Vennekens:
Combining Logic and Natural Language Processing to Support Investment Management. KR 2021: 665-670 - [c55]Simon Vandevelde, Vedavyas Etikala, Jan Vanthienen, Joost Vennekens:
Leveraging the Power of IDP with the Flexibility of DMN: A Multifunctional API. RuleML+RR 2021: 250-263 - [e3]Ahmet Soylu, Alireza Tamaddoni-Nezhad, Nikolay Nikolov, Ioan Toma, Anna Fensel, Joost Vennekens:
Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) and 13th DecisionCAMP 2021 as part of Declarative AI 2021, Leuven, Belgium (virtual due to Covid-19 pandemic), 8 - 15 September, 2021. CEUR Workshop Proceedings 2956, CEUR-WS.org 2021 [contents] - [e2]Andrea Formisano, Yanhong Annie Liu, Bart Bogaerts, Alex Brik, Verónica Dahl, Carmine Dodaro, Paul Fodor, Gian Luca Pozzato, Joost Vennekens, Neng-Fa Zhou:
Proceedings 37th International Conference on Logic Programming (Technical Communications), ICLP Technical Communications 2021, Porto (virtual event), 20-27th September 2021. EPTCS 345, 2021 [contents] - [i24]Wouter Groeneveld, Laurens Luyten, Joost Vennekens, Kris Aerts:
Exploring the Role of Creativity in Software Engineering. CoRR abs/2101.00837 (2021) - [i23]Kylian Van Dessel, Jo Devriendt, Joost Vennekens:
FOLASP: FO(.) as Input Language for Answer Ser Solvers. CoRR abs/2108.04020 (2021) - [i22]Simon Vandevelde, Victor Verreet, Luc De Raedt, Joost Vennekens:
A Table-Based Representation for Probabilistic Logic: Preliminary Results. CoRR abs/2110.01909 (2021) - [i21]Simon Vandevelde, Bram Aerts, Joost Vennekens:
Tackling the DM Challenges with cDMN: A Tight Integration of DMN and Constraint Reasoning. CoRR abs/2110.02610 (2021) - 2020
- [c54]Wouter Groeneveld, Brett A. Becker, Joost Vennekens:
Soft Skills: What do Computing Program Syllabi Reveal About Non-Technical Expectations of Undergraduate Students? ITiCSE 2020: 287-293 - [c53]Joost Vennekens:
Service-Learning for Web Technology: Observations from a Small Case Study. ITiCSE 2020: 328-334 - [c52]Bram Aerts, Simon Vandevelde, Joost Vennekens:
Tackling the DMN Challenges with cDMN: A Tight Integration of DMN and Constraint Reasoning. RuleML+RR 2020: 23-38 - [c51]Wouter Groeneveld, Hans Jacobs, Joost Vennekens, Kris Aerts:
Non-cognitive Abilities of Exceptional Software Engineers: A Delphi Study. SIGCSE 2020: 1096-1102 - [i20]Bram Aerts, Simon Vandevelde, Joost Vennekens:
Tackling the DMN Challenges with cDMN: a Tight Integration of DMN and constraint reasoning. CoRR abs/2005.09998 (2020) - [i19]Wouter Groeneveld, Joost Vennekens, Kris Aerts:
Engaging Software Engineering Students in Grading: The effects of peer assessment on self-evaluation, motivation, and study time. CoRR abs/2012.03521 (2020)
2010 – 2019
- 2019
- [c50]Pierre Carbonnelle, Bram Aerts, Marjolein Deryck, Joost Vennekens, Marc Denecker:
An Interactive Consultant. BNAIC/BENELEARN 2019 - [c49]Marc Denecker, Bart Bogaerts, Joost Vennekens:
Explaining Actual Causation in Terms of Possible Causal Processes. JELIA 2019: 214-230 - [c48]Emily C. LeBlanc, Marcello Balduccini, Joost Vennekens:
Explaining Actual Causation via Reasoning About Actions and Change. JELIA 2019: 231-246 - [c47]Marjolein Deryck, Theodoros Mitsikas, Sofia Almpani, Petros S. Stefaneas, Panayiotis Frangos, Iakovos Ouranos, Harold Boley, Joost Vennekens:
Aligning, Interoperating, and Co-executing Air Traffic Control Rules Across PSOA RuleML and IDP. RuleML+RR 2019: 52-66 - [c46]Marjolein Deryck, Bram Aerts, Joost Vennekens:
Adding Constraint Tables to the DMN Standard: Preliminary Results. RuleML+RR 2019: 171-179 - [c45]Marjolein Deryck, Joost Vennekens:
Knowledge Elicitation within the Knowledge Base Paradigm: Disentangling Domain Knowledge from Decision Making in Industrial Applications. RuleML+RR (Supplement) 2019 - [c44]Marjolein Deryck, Joost Vennekens, Jo Devriendt, Simon Marynissen:
Legislation in the Knowledge Base Paradigm: Interactive Decision Enactment for Registration Duties. ICSC 2019: 174-177 - [i18]Marc Denecker, Yuliya Lierler, Miroslaw Truszczynski, Joost Vennekens:
The informal semantics of Answer Set Programming: A Tarskian perspective. CoRR abs/1901.09125 (2019) - [i17]Wouter Groeneveld, Hans Jacobs, Joost Vennekens, Kris Aerts:
Non-cognitive abilities of exceptional software engineers: a Delphi study. CoRR abs/1910.09861 (2019) - [i16]Wouter Groeneveld, Joost Vennekens, Kris Aerts:
Software Engineering Education Beyond the Technical: A Systematic Literature Review. CoRR abs/1910.09865 (2019) - 2018
- [j19]Bart Bogaerts, Joost Vennekens, Marc Denecker:
Safe inductions and their applications in knowledge representation. Artif. Intell. 259: 167-185 (2018) - [j18]Sander Beckers, Joost Vennekens:
A principled approach to defining actual causation. Synth. 195(2): 835-862 (2018) - [c43]Bram Aerts, Joost Vennekens:
Application of Logic-Based Methods to Machine Component Design. ICLP (Technical Communications) 2018: 13:1-13:15 - [c42]Dries Hulens, Bram Aerts, Punarjay Chakravarty, Ali Diba, Toon Goedemé, Tom Roussel, Jeroen Zegers, Tinne Tuytelaars, Luc Van Eycken, Luc Van Gool, Hugo Van hamme, Joost Vennekens:
The CAMETRON Lecture Recording System: High Quality Video Recording and Editing with Minimal Human Supervision. MMM (1) 2018: 518-530 - [c41]Marjolein Deryck, Faruk Hasic, Jan Vanthienen, Joost Vennekens:
A Case-Based Inquiry into the Decision Model and Notation (DMN) and the Knowledge Base (KB) Paradigm. RuleML+RR 2018: 248-263 - 2017
- [c40]Kristof Van Beeck, Kristof Van Engeland, Joost Vennekens, Toon Goedemé:
Abnormal behavior detection in LWIR surveillance of railway platforms. AVSS 2017: 1-6 - [c39]Bart Bogaerts, Joost Vennekens, Marc Denecker:
Safe Inductions: An Algebraic Study. IJCAI 2017: 859-865 - [c38]Bram Aerts, Kylian Van Dessel, Joost Vennekens:
Alarm Management on a Liquid Bulk Terminal. KI 2017: 279-285 - [c37]Joost Vennekens:
Lowering the Learning Curve for Declarative Programming: A Python API for the IDP System. PADL 2017: 86-102 - [c36]Bram Aerts, Toon Goedemé, Joost Vennekens:
A Probabilistic Logic Programming Approach to Automatic Video Montage. WICED@Eurographics 2017: 47 - [i15]Marc Denecker, Bart Bogaerts, Joost Vennekens:
A Logical Study of Some Common Principles of Inductive Definition and its Implications for Knowledge Representation. CoRR abs/1702.04551 (2017) - 2016
- [j17]Sander Beckers, Joost Vennekens:
A general framework for defining and extending actual causation using CP-logic. Int. J. Approx. Reason. 77: 105-126 (2016) - [j16]Bart Bogaerts, Joost Vennekens, Marc Denecker:
On Well-Founded Set-Inductions and Locally Monotone Operators. ACM Trans. Comput. Log. 17(4): 27 (2016) - [c35]Joost Vennekens:
Solving the Travelling Umpire Problem with Answer Set Programming. BNCAI 2016: 106-118 - [c34]Bram Aerts, Toon Goedemé, Joost Vennekens:
A Probabilistic Logic Programming Approach to Automatic Video Montage. ECAI 2016: 234-242 - 2015
- [j15]Bart Bogaerts, Joost Vennekens, Marc Denecker:
Grounded fixpoints and their applications in knowledge representation. Artif. Intell. 224: 51-71 (2015) - [j14]Wiebe Van Ranst, Joost Vennekens:
An OpenCL implementation of a forward sampling algorithm for CP-logic. Int. J. Approx. Reason. 67: 60-72 (2015) - [c33]Bart Bogaerts, Joost Vennekens, Marc Denecker:
Grounded Fixpoints. AAAI 2015: 1453-1459 - [c32]Sander Beckers, Joost Vennekens:
Combining Probabilistic, Causal, and Normative Reasoning in CP-Logic. AAAI Spring Symposia 2015 - [c31]Sander Beckers, Joost Vennekens:
Towards a General Framework for Actual Causation Using CP-logic. PLP@ICLP 2015: 19-38 - [c30]Bart Bogaerts, Joost Vennekens, Marc Denecker:
Partial Grounded Fixpoints. IJCAI 2015: 2784-2790 - [e1]Fabrizio Riguzzi, Joost Vennekens:
Proceedings of the 2nd International Workshop on Probabilistic Logic Programming co-located with 31st International Conference on Logic Programming (ICLP 2015), Cork, Ireland, August 31st, 2015. CEUR Workshop Proceedings 1413, CEUR-WS.org 2015 [contents] - [i14]Sander Beckers, Joost Vennekens:
Combining Probabilistic, Causal, and Normative Reasoning in CP-logic. CoRR abs/1503.01051 (2015) - [i13]Joost Vennekens:
Lowering the learning curve for declarative programming: a Python API for the IDP system. CoRR abs/1511.00916 (2015) - 2014
- [j13]Floris De Smedt, Lars Struyf, Sander Beckers, Joost Vennekens, Gorik De Samblanx, Toon Goedemé:
Faster and more intelligent object detection by combining OpenCL and KR. J. Ambient Intell. Humaniz. Comput. 5(5): 635-643 (2014) - [j12]Bart Bogaerts, Joachim Jansen, Maurice Bruynooghe, Broes De Cat, Joost Vennekens, Marc Denecker:
Simulating Dynamic Systems Using Linear Time Calculus Theories. Theory Pract. Log. Program. 14(4-5): 477-492 (2014) - [c29]Bart Bogaerts, Joost Vennekens, Marc Denecker, Jan Van den Bussche:
Inference in the FO(C) Modelling Language. ECAI 2014: 111-116 - [c28]Marc Denecker, Joost Vennekens:
The Well-Founded Semantics Is the Principle of Inductive Definition, Revisited. KR 2014 - [c27]Wannes Meert, Joost Vennekens:
Inhibited Effects in CP-Logic. Probabilistic Graphical Models 2014: 350-365 - [i12]Bart Bogaerts, Joost Vennekens, Marc Denecker, Jan Van den Bussche:
Inference in the FO(C) Modelling Language. CoRR abs/1404.6368 (2014) - [i11]Bart Bogaerts, Joost Vennekens, Marc Denecker, Jan Van den Bussche:
FO(C) and Related Modelling Paradigms. CoRR abs/1404.6394 (2014) - [i10]Bart Bogaerts, Joachim Jansen, Maurice Bruynooghe, Broes De Cat, Joost Vennekens, Marc Denecker:
Simulating dynamic systems using Linear Time Calculus theories. CoRR abs/1405.1523 (2014) - [i9]Bart Bogaerts, Joost Vennekens, Marc Denecker, Jan Van den Bussche:
FO(C): A Knowledge Representation Language of Causality. CoRR abs/1405.1833 (2014) - [i8]Sander Beckers, Joost Vennekens:
Probabilistic Definitions of Actual Causation Using CP-logic. CoRR abs/1410.7063 (2014) - 2013
- [j11]Pieter Van Hertum, Joost Vennekens, Bart Bogaerts, Jo Devriendt, Marc Denecker:
The effects of buying a new car: an extension of the IDP Knowledge Base System. Theory Pract. Log. Program. 13(4-5-Online-Supplement) (2013) - [i7]Joost Vennekens, Marc Denecker:
Extending FO(ID) with Knowledge Producing Definitions: Preliminary Results. CoRR abs/1301.1395 (2013) - [i6]Joost Vennekens:
Negation in the Head of CP-logic Rules. CoRR abs/1312.6156 (2013) - 2012
- [j10]Hanne Vlaeminck, Joost Vennekens, Marc Denecker, Maurice Bruynooghe:
An approximative inference method for solving ∃∀SO satisfiability problems. J. Artif. Intell. Res. 45: 79-124 (2012) - [c26]Hanne Vlaeminck, Joost Vennekens, Marc Denecker:
A General Representation and Approximate Inference Algorithm for Sensing Actions. Australasian Conference on Artificial Intelligence 2012: 543-554 - [c25]Marc Denecker, Maurice Bruynooghe, Joost Vennekens:
Approximation Fixpoint Theory and the Semantics of Logic and Answers Set Programs. Correct Reasoning 2012: 178-194 - [c24]Marc Denecker, Yuliya Lierler, Miroslaw Truszczynski, Joost Vennekens:
A Tarskian Informal Semantics for Answer Set Programming. ICLP (Technical Communications) 2012: 277-289 - [c23]Hanne Vlaeminck, Joost Vennekens, Maurice Bruynooghe, Marc Denecker:
Ordered Epistemic Logic: Semantics, Complexity and Applications. KR 2012 - [c22]Gorik De Samblanx, Floris De Smedt, Lars Struyf, Sander Beckers, Joost Vennekens, Toon Goedemé:
CPCPU: Coreful Programming on the CPU - Why a CPU can Benefit from Massive Multithreading. PECCS 2012: 196-199 - [c21]Floris De Smedt, Lars Struyf, Sander Beckers, Joost Vennekens, Gorik De Samblanx, Toon Goedemé:
Is the Game worth the Candle? - Evaluation of OpenCL for Object Detection Algorithm Optimization. PECCS 2012: 284-291 - [c20]Sander Beckers, Joost Vennekens:
Counterfactual dependency and actual causation in CP-logic and structural models: a comparison. STAIRS 2012: 35-46 - 2011
- [j9]Joost Vennekens:
Actual causation in CP-logic. Theory Pract. Log. Program. 11(4-5): 647-662 (2011) - [c19]Marc Denecker, Joost Vennekens, Hanne Vlaeminck, Johan Wittocx, Maurice Bruynooghe:
Answer Set Programming's Contributions to Classical Logic - An Analysis of ASP Methodology. Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning 2011: 12-32 - [i5]Joost Vennekens:
Actual Causation in CP-logic. CoRR abs/1107.4865 (2011) - 2010
- [j8]Joost Vennekens, Marc Denecker, Maurice Bruynooghe:
FO(ID) as an extension of DL with rules. Ann. Math. Artif. Intell. 58(1-2): 85-115 (2010) - [j7]Jon Sneyers, Wannes Meert, Joost Vennekens, Yoshitaka Kameya, Taisuke Sato:
CHR(PRISM)-based probabilistic logic learning. Theory Pract. Log. Program. 10(4-6): 433-447 (2010) - [c18]Maurice Bruynooghe, Theofrastos Mantadelis, Angelika Kimmig, Bernd Gutmann, Joost Vennekens, Gerda Janssens, Luc De Raedt:
ProbLog Technology for Inference in a Probabilistic First Order Logic. ECAI 2010: 719-724 - [c17]Joost Vennekens, Maurice Bruynooghe, Marc Denecker:
Embracing Events in Causal Modelling: Interventions and Counterfactuals in CP-Logic. JELIA 2010: 313-325 - [c16]Hanne Vlaeminck, Johan Wittocx, Joost Vennekens, Marc Denecker, Maurice Bruynooghe:
An Approximative Inference Method for Solving THERE EXISTS FOR ALL SO Satisfiability Problems. JELIA 2010: 326-338 - [i4]Jon Sneyers, Wannes Meert, Joost Vennekens, Yoshitaka Kameya, Taisuke Sato:
CHR(PRISM)-based Probabilistic Logic Learning. CoRR abs/1007.3858 (2010)
2000 – 2009
- 2009
- [j6]Joost Vennekens, Marc Denecker, Maurice Bruynooghe:
CP-logic: A language of causal probabilistic events and its relation to logic programming. Theory Pract. Log. Program. 9(3): 245-308 (2009) - [c15]Joost Vennekens,