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2020 – today
- 2024
[c40]Elien Sijmkens
, Mieke De Cock, Tinne De Laet:
The Impact of Topic-Specific vs. Generic Self-reflection on Students' Metacognitive Abilities, Conceptual Understanding, and Problem-Solving Strategies. EC-TEL (1) 2024: 406-420- 2023
- [j17]Maxim Vochten, Ali Mousavi Mohammadi, Arno Verduyn, Tinne De Laet, Erwin Aertbeliën, Joris De Schutter:
Invariant Descriptors of Motion and Force Trajectories for Interpreting Object Manipulation Tasks in Contact. IEEE Trans. Robotics 39(6): 4892-4912 (2023) - [c39]Ana-Gabriela Núñez, Vanessa Echeverría, Miguel Zúñiga-Prieto, Benito Auria, Tinne De Laet:
TMBQ-LT: A Student-Facing Learning Tool to Support Time Management Skills. CSEDU (1) 2023: 217-224 - [i3]Maxim Vochten, Ali Mousavi Mohammadi, Arno Verduyn, Tinne De Laet, Erwin Aertbeliën, Joris De Schutter:
Invariant Descriptors of Motion and Force Trajectories for Interpreting Object Manipulation Tasks in Contact. CoRR abs/2306.10926 (2023) - 2022
- [c38]Elien Sijmkens, Mieke De Cock, Tinne De Laet:
The Disciplinary Learning Companion: The Impact of Disciplinary and Topic-Specific Reflection on Students' Metacognitive Abilities and Academic Achievement. EC-TEL 2022: 354-367 - [e2]Isabel Hilliger, Pedro J. Muñoz-Merino, Tinne De Laet, Alejandro Ortega-Arranz, Tracie Farrell:
Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption - 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Toulouse, France, September 12-16, 2022, Proceedings. Lecture Notes in Computer Science 13450, Springer 2022, ISBN 978-3-031-16289-3 [contents] - 2021
- [c37]Hanne Scheers, Tinne De Laet:
Interactive and Explainable Advising Dashboard Opens the Black Box of Student Success Prediction. EC-TEL 2021: 52-66 - [e1]Tinne De Laet, Roland Klemke, Carlos Alario-Hoyos, Isabel Hilliger, Alejandro Ortega-Arranz:
Technology-Enhanced Learning for a Free, Safe, and Sustainable World - 16th European Conference on Technology Enhanced Learning, EC-TEL 2021, Bolzano, Italy, September 20-24, 2021, Proceedings. Lecture Notes in Computer Science 12884, Springer 2021, ISBN 978-3-030-86435-4 [contents] - 2020
- [j16]Tom Broos, Isabel Hilliger, Mar Pérez-Sanagustín, Nyi Nyi Htun, Martijn Millecamp, Paola Pesantez-Cabrera, Lizandro D. Solano-Quinde, Lorena Siguenza-Guzman, Miguel Zúñiga-Prieto, Katrien Verbert, Tinne De Laet:
Coordinating learning analytics policymaking and implementation at scale. Br. J. Educ. Technol. 51(4): 938-954 (2020) - [j15]Julio Guerra, Margarita Ortiz-Rojas, Miguel Ángel Zúñiga Prieto, Eliana Scheihing, Alberto Jiménez, Tom Broos, Tinne De Laet, Katrien Verbert:
Adaptation and evaluation of a learning analytics dashboard to improve academic support at three Latin American universities. Br. J. Educ. Technol. 51(4): 973-1001 (2020) - [j14]Tinne De Laet, Martijn Millecamp, Margarita Ortiz-Rojas, Alberto Jiménez, Ricardo Maya, Katrien Verbert:
Adoption and impact of a learning analytics dashboard supporting the advisor - Student dialogue in a higher education institute in Latin America. Br. J. Educ. Technol. 51(4): 1002-1018 (2020) - [j13]Francisco Gutiérrez, Karsten Seipp, Xavier Ochoa, Katherine Chiluiza, Tinne De Laet, Katrien Verbert:
LADA: A learning analytics dashboard for academic advising. Comput. Hum. Behav. 107: 105826 (2020) - [c36]Tom Broos, Martijn Millecamp, Katrien Verbert, Tinne De Laet:
Card-based approach to coordinate Learning Analytics policymaking and implementation at scale. EC-TEL (Impact Papers) 2020 - [c35]Isabel Hilliger, Tinne De Laet, Valeria Henríquez, Julio Guerra, Margarita Ortiz-Rojas, Miguel Ángel Zúñiga Prieto, Jorge A. Baier, Mar Pérez-Sanagustín:
For Learners, with Learners: Identifying Indicators for an Academic Advising Dashboard for Students. EC-TEL 2020: 117-130 - [c34]Katrien Verbert, Xavier Ochoa, Robin De Croon, Raphael A. Dourado, Tinne De Laet:
Learning analytics dashboards: the past, the present and the future. LAK 2020: 35-40
2010 – 2019
- 2019
- [j12]Maxim Vochten, Tinne De Laet, Joris De Schutter:
Generalizing demonstrated motion trajectories using coordinate-free shape descriptors. Robotics Auton. Syst. 122 (2019) - 2018
- [j11]Sven Charleer, Andrew Vande Moere, Joris Klerkx, Katrien Verbert, Tinne De Laet:
Learning Analytics Dashboards to Support Adviser-Student Dialogue. IEEE Trans. Learn. Technol. 11(3): 389-399 (2018) - [c33]Tom Broos, Katrien Verbert, Greet Langie, Carolien Van Soom, Tinne De Laet:
Low-Investment, Realistic-Return Business Cases for Learning Analytics Dashboards: Leveraging Usage Data and Microinteractions. EC-TEL 2018: 399-405 - [c32]Maxim Vochten, Tinne De Laet, Joris De Schutter:
Robust Optimization-Based Calculation of Invariant Trajectory Representations for Point and Rigid-body Motion. IROS 2018: 5598-5605 - [c31]Tom Broos, Katrien Verbert, Greet Langie, Carolien Van Soom, Tinne De Laet:
Multi-institutional positioning test feedback dashboard for aspiring students: lessons learnt from a case study in flanders. LAK 2018: 51-55 - [c30]Martijn Millecamp, Francisco Gutiérrez, Sven Charleer, Katrien Verbert, Tinne De Laet:
A qualitative evaluation of a learning dashboard to support advisor-student dialogues. LAK 2018: 56-60 - 2017
- [j10]Davide Nitti, Vaishak Belle, Tinne De Laet, Luc De Raedt:
Planning in hybrid relational MDPs. Mach. Learn. 106(12): 1905-1932 (2017) - [c29]Tom Broos, Laurie Peeters, Katrien Verbert, Carolien Van Soom, Greet Langie, Tinne De Laet:
Dashboard for Actionable Feedback on Learning Skills: How Learner Profile Affects Use. ARTEL@EC-TEL 2017 - [c28]Tom Broos, Laurie Peeters, Katrien Verbert, Carolien Van Soom, Greet Langie, Tinne De Laet:
Dashboard for Actionable Feedback on Learning Skills: Scalability and Usefulness. HCI (26) 2017: 229-241 - 2016
- [j9]Davide Nitti, Tinne De Laet, Luc De Raedt:
Probabilistic logic programming for hybrid relational domains. Mach. Learn. 103(3): 407-449 (2016) - [c27]Sven Charleer, Joris Klerkx, Erik Duval, Tinne De Laet, Katrien Verbert:
Creating Effective Learning Analytics Dashboards: Lessons Learnt. EC-TEL 2016: 42-56 - [c26]Sven Charleer, Joris Klerkx, Erik Duval, Tinne De Laet, Katrien Verbert:
Faceted search on coordinated tablets and tabletop: a comparison. EICS 2016: 165-170 - [c25]Maxim Vochten, Tinne De Laet, Joris De Schutter:
Generalizing demonstrated motions and adaptive motion generation using an invariant rigid body trajectory representation. ICRA 2016: 234-241 - 2015
- [c24]Maxim Vochten, Tinne De Laet, Joris De Schutter:
Comparison of rigid body motion trajectory descriptors for motion representation and recognition. ICRA 2015: 3010-3017 - 2014
- [j8]Koen Buys, Cedric Cagniart, Anatoly Baksheev, Tinne De Laet, Joris De Schutter, Caroline Pantofaru:
An adaptable system for RGB-D based human body detection and pose estimation. J. Vis. Commun. Image Represent. 25(1): 39-52 (2014) - [j7]Enrico Di Lello, Marco Trincavelli, Herman Bruyninckx, Tinne De Laet:
Augmented Switching Linear Dynamical System Model for Gas Concentration Estimation with MOX Sensors in an Open Sampling System. Sensors 14(7): 12533-12559 (2014) - [c23]Davide Nitti, Tinne De Laet, Luc De Raedt:
Relational object tracking and learning. ICRA 2014: 935-942 - [c22]Davide Nitti, Tinne De Laet, Luc De Raedt:
Distributional Clauses Particle Filter. ECML/PKDD (3) 2014: 504-507 - [i2]Tinne De Laet, Joris De Schutter, Herman Bruyninckx:
A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments. CoRR abs/1401.3432 (2014) - 2013
- [j6]Tinne De Laet, Steven Bellens, Ruben Smits, Erwin Aertbeliën, Herman Bruyninckx, Joris De Schutter:
Geometric Relations Between Rigid Bodies (Part 1): Semantics for Standardization. IEEE Robotics Autom. Mag. 20(1): 84-93 (2013) - [j5]Tinne De Laet, Steven Bellens, Herman Bruyninckx, Joris De Schutter:
Geometric Relations Between Rigid Bodies (Part 2): From Semantics to Software. IEEE Robotics Autom. Mag. 20(2): 91-102 (2013) - [c21]Ozkan Cigdem, Tinne De Laet, Joris De Schutter:
Classical and subsequence dynamic time warping for recognition of rigid body motion trajectories. ASCC 2013: 1-6 - [c20]Max Boegli, Tinne De Laet, Joris De Schutter, Jan Swevers:
Moving horizon for friction state and parameter estimation. ECC 2013: 4142-4147 - [c19]Dominick Vanthienen, Markus Klotzbücher, Joris De Schutter, Tinne De Laet, Herman Bruyninckx:
Rapid application development of constrained-based task modelling and execution using domain specific languages. IROS 2013: 1860-1866 - [c18]Tinne De Laet, Herman Bruyninckx, Joris De Schutter:
Rigid body pose and twist scene graph founded on geometric relations semantics for robotic applications. IROS 2013: 2398-2405 - [c17]Davide Nitti, Tinne De Laet, Luc De Raedt:
A particle filter for hybrid relational domains. IROS 2013: 2764-2771 - [c16]Enea Scioni, Markus Klotzbücher, Tinne De Laet, Herman Bruyninckx, Marcello Bonfè:
Preview coordination: An enhanced execution model for online scheduling of mobile manipulation tasks. IROS 2013: 5779-5786 - [c15]Enrico Di Lello, Markus Klotzbücher, Tinne De Laet, Herman Bruyninckx:
Bayesian time-series models for continuous fault detection and recognition in industrial robotic tasks. IROS 2013: 5827-5833 - [i1]Tinne De Laet, Wouter Schaekers, Jonas de Greef, Herman Bruyninckx:
Domain Specific Language for Geometric Relations between Rigid Bodies targeted to robotic applications. CoRR abs/1304.1346 (2013) - 2012
- [j4]Tinne De Laet, Ruben Smits, Herman Bruyninckx, Joris De Schutter:
Constraint-Based Task Specification and Control for Visual Servoing Application Scenarios. Autom. 60(5): 260-269 (2012) - [c14]Max Boegli, Tinne De Laet, Joris De Schutter, Jan Swevers:
A Smoothed GMS friction model for Moving Horizon friction state and parameter estimation. AMC 2012: 1-6 - [c13]Max Boegli, Tinne De Laet, Joris De Schutter, Jan Swevers:
A Smoothed GMS friction model suited for gradient-based friction state estimation. ACC 2012: 2627-2632 - [c12]Tjorven Delabie, Ozkan Cigdem, Jochem F. M. De Schutter, Roel Matthysen, Tinne De Laet, Joris De Schutter:
Invariant representations to reduce the variability in recognition of rigid body motion trajectories. SMC 2012: 1658-1663 - [c11]Davide Nitti, Tinne De Laet, McElory Hoffmann, Ingo Thon, Guy Van den Broeck, Luc De Raedt:
A Particle Filter for Probabilistic Dynamic Relational Domains. StarAI@UAI 2012 - [c10]Gianni Borghesan, Bert Willaert, Tinne De Laet, Joris De Schutter:
Teleoperation in Presence of Uncertainties: A Constraint-Based Approach. SyRoCo 2012: 385-392 - [c9]Dominick Vanthienen, Tinne De Laet, Wilm Decré, Herman Bruyninckx, Joris De Schutter:
Force-Sensorless and Bimanual Human-Robot Comanipulation. SyRoCo 2012: 759-766 - 2011
- [j3]Tinne De Laet, Herman Bruyninckx, Joris De Schutter:
Shape-Based Online Multitarget Tracking and Detection for Targets Causing Multiple Measurements: Variational Bayesian Clustering and Lossless Data Association. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2477-2491 (2011) - [c8]Joris De Schutter, Enrico Di Lello, Jochem F. M. De Schutter, Roel Matthysen, Tuur Benoit, Tinne De Laet:
Recognition of 6 DOF rigid body motion trajectories using a coordinate-free representation. ICRA 2011: 2071-2078 - [c7]Koen Buys, Steven Bellens, Wilm Decré, Ruben Smits, Enea Scioni, Tinne De Laet, Joris De Schutter, Herman Bruyninckx:
Haptic coupling with augmented feedback between two KUKA Light-Weight Robots and the PR2 robot arms. IROS 2011: 3031-3038 - 2010
- [c6]Koen Buys, Tinne De Laet, Ruben Smits, Herman Bruyninckx:
Blender for Robotics: Integration into the Leuven Paradigm for Robot Task Specification and Human Motion Estimation. SIMPAR 2010: 15-25
2000 – 2009
- 2008
- [j2]Tinne De Laet, Joris De Schutter, Herman Bruyninckx:
A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments. J. Artif. Intell. Res. 33: 179-222 (2008) - [c5]Tinne De Laet, Joris De Schutter, Herman Bruyninckx:
Rigorously Bayesian range finder sensor model for dynamic environments. ICRA 2008: 2994-3001 - [c4]Tinne De Laet, Ruben Smits, Joris De Schutter, Herman Bruyninckx:
Adaptive Full Scan Model for Range Finders in Dynamic Environments. ISER 2008: 441-450 - [c3]Ruben Smits, Tinne De Laet, Kasper Claes, Herman Bruyninckx, Joris De Schutter:
iTASC: a tool for multi-sensor integration in robot manipulation. MFI 2008: 426-433 - 2007
- [j1]Joris De Schutter, Tinne De Laet, Johan Rutgeerts, Wilm Decré, Ruben Smits, Erwin Aertbeliën, Kasper Claes, Herman Bruyninckx:
Constraint-based Task Specification and Estimation for Sensor-Based Robot Systems in the Presence of Geometric Uncertainty. Int. J. Robotics Res. 26(5): 433-455 (2007) - [c2]Tinne De Laet, Wilm Decré, Johan Rutgeerts, Herman Bruyninckx, Joris De Schutter:
An application of constraint-based task specification and estimation for sensor-based robot systems. IROS 2007: 1658-1664 - 2005
- [c1]Joris De Schutter, Johan Rutgeerts, Erwin Aertbeliën, Friedl De Groote, Tinne De Laet, Tine Lefebvre, Walter Verdonck, Herman Bruyninckx:
Unified Constraint-Based Task Specification for Complex Sensor-Based Robot Systems. ICRA 2005: 3607-3612
Coauthor Index
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