- Lesley van Hoek, Rob Saunders, Roy De Kleijn
:
Evolving Virtual Embodied Agents Using External Artifact Evaluations. BNAIC/BENELEARN (Selected Papers) 2020: 30-47 - Rickard Karlsson, Laurens Bliek
, Sicco Verwer, Mathijs de Weerdt
:
Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems. BNAIC/BENELEARN (Selected Papers) 2020: 48-63 - Kevin Kloos
, Quinten Meertens
, Sander Scholtus
, Julian D. Karch
:
Comparing Correction Methods to Reduce Misclassification Bias. BNAIC/BENELEARN (Selected Papers) 2020: 64-90 - Siegfried Ludwig
, Joeri Hartjes, Bram Pol, Gabriela Rivas, Johan Kwisthout
:
A Spiking Neuron Implementation of Genetic Algorithms for Optimization. BNAIC/BENELEARN (Selected Papers) 2020: 91-105 - Geerten Rijsdijk, Giovanni Sileno:
Solving Hofstadter's Analogies Using Structural Information Theory. BNAIC/BENELEARN (Selected Papers) 2020: 106-121 - Nico Roos:
A Semantic Tableau Method for Argument Construction. BNAIC/BENELEARN (Selected Papers) 2020: 122-140 - Thalea Schlender, Gerasimos Spanakis
:
'Thy Algorithm Shalt Not Bear False Witness': An Evaluation of Multiclass Debiasing Methods on Word Embeddings. BNAIC/BENELEARN (Selected Papers) 2020: 141-156 - Jan H. van Staalduinen
, Jaco Tetteroo
, Daniela Gawehns
, Mitra Baratchi
:
An Intelligent Tree Planning Approach Using Location-Based Social Networks Data. BNAIC/BENELEARN (Selected Papers) 2020: 157-171 - Simone C. M. W. Tummers, Arjen Hommersom
, Lilian Lechner, Catherine Bolman, Roger Bemelmans:
Gaining Insight into Determinants of Physical Activity Using Bayesian Network Learning. BNAIC/BENELEARN (Selected Papers) 2020: 172-187 - Yating Zheng
, Michael Allwright
, Weixu Zhu
, Majd Kassawat
, Zhangang Han
, Marco Dorigo
:
Swarm Construction Coordinated Through the Building Material. BNAIC/BENELEARN (Selected Papers) 2020: 188-202 - Bart Bogaerts
, Gianluca Bontempi
, Pierre Geurts
, Nick Harley, Bertrand Lebichot
, Tom Lenaerts
, Gilles Louppe
:
Artificial Intelligence and Machine Learning - 31st Benelux AI Conference, BNAIC 2019, and 28th Belgian-Dutch Machine Learning Conference, BENELEARN 2019, Brussels, Belgium, November 6-8, 2019, Revised Selected Papers. Communications in Computer and Information Science 1196, Springer 2020, ISBN 978-3-030-65153-4 [contents] - 2019
- Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke:
Learning to Transform, Combine, and Reason in Open-Domain Question Answering. BNAIC/BENELEARN 2019 - Tom Vander Aa, Tom Ashby, Roel Wuyts:
Virtual Screening on FPGA. BNAIC/BENELEARN 2019 - Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert:
SMURFF: A High-Performance Framework for Matrix Factorization Methods. BNAIC/BENELEARN 2019 - Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak:
A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy. BNAIC/BENELEARN 2019 - Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Abel Díaz Berenguer, Cédric Bertrand, Hichem Sahli:
End-To-End Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature Timeseries. BNAIC/BENELEARN 2019 - Hamed Ayoobi, Ming Cao, Rineke Verbrugge, Bart Verheij:
Handling Unforeseen Failures Using Argumentation-Based Learning. BNAIC/BENELEARN 2019 - Kevin Bardool, Tinne Tuytelaars, José Oramas M.:
A Context Aware Deep Learning Architecture for Object Detection. BNAIC/BENELEARN 2019 - Kevin Bardool, Tinne Tuytelaars, José Oramas M.:
A Systematic Analysis of a Context Aware Deep Learning Architecture for Object Detection. BNAIC/BENELEARN 2019 - Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Adversarial Perturbations for Joint Entity and Relation Extraction. BNAIC/BENELEARN 2019 - Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Reduction Methods for Multi-Label Datasets Based on Granular Computing. BNAIC/BENELEARN 2019 - Abel Díaz Berenguer, Meshia Cédric Oveneke, Mitchel Alioscha-Pérez, Hichem Sahli:
Paired Supervised Learning and Unsupervised Pretraining of CNN-Architecture for Violence Detection in Videos. BNAIC/BENELEARN 2019 - Mark de Blaauw, Diederik M. Roijers, Vesa Muhonen:
A Scalable Logo Recognition Model with Deep Meta-Learning. BNAIC/BENELEARN 2019 - Lars Bokkers, Luca Ambrogioni, Umut Güçlü
:
Segmentation of Photovoltaic Panels in Aerial Photography Using Group Equivariant FCNs. BNAIC/BENELEARN 2019 - Redona Brahimetaj, Evgenia Papavasileiou, Frederik Temmermans, Bruno Cornelis, Inneke Willekens, Johan de Mey, Bart Jansen:
Computer Aided Detection and Diagnosis System for Breast Cancer Detection Based on High Resolution 3D micro-CT Breast Microcalcifications. BNAIC/BENELEARN 2019 - Merijn Bruijnes, Siska Fitrianie
, Deborah Richards, Amal Abdulrahman, Willem-Paul Brinkman:
What are we Measuring Anyway? A Literature Survey of Questionnaires Used in Studies Reported in the Intelligent Virtual Agent Conferences. BNAIC/BENELEARN 2019 - Frederik Calsius, Stylianos Asteriadis:
Synthesizing Personality-Dependent Body Postures Using Generative Adversarial Networks. BNAIC/BENELEARN 2019 - Rocsildes Canoy, Tias Guns:
Vehicle Routing by Learning from Historical Solutions. BNAIC/BENELEARN 2019 - Pierre Carbonnelle, Bram Aerts, Marjolein Deryck, Joost Vennekens, Marc Denecker:
An Interactive Consultant. BNAIC/BENELEARN 2019 - Jens Claes, Bart Bogaerts, Rocsildes Canoy, Emilio Gamba, Tias Guns:
ZebraTutor: Explaining How to Solve Logic Grid Puzzles. BNAIC/BENELEARN 2019