Meike Nauta

26 papers A* 3C 2Journal 12Unranked 9
YearRankTypeTitle / Venue / Authors
2024 — conf
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Lisa Anita De Santi, Jörg Schlötterer, Michael Scheschenja, Joel Wessendorf, Meike Nauta, Vincenzo Positano, Christin Seifert
2024 J jnl
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans.
CoRR
Lisa Anita De Santi, Jörg Schlötterer, Michael Scheschenja, Joel Wessendorf, Meike Nauta, Vincenzo Positano, Christin Seifert
2024 — conf
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Lisa Anita De Santi, Jörg Schlötterer, Meike Nauta, Vincenzo Positano, Christin Seifert
2024 J jnl
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification.
CoRR
Lisa Anita De Santi, Jörg Schlötterer, Meike Nauta, Vincenzo Positano, Christin Seifert
2023 A* conf
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges.
IJCAI
Phuong Quynh Le, Meike Nauta, Van Bach Nguyen, Shreyasi Pathak, Jörg Schlötterer, Christin Seifert
2023 — conf
Feature Attribution Explanations for Spiking Neural Networks.
CogMI
Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert
2023 J jnl
Feature Attribution Explanations for Spiking Neural Networks.
CoRR
Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert
2023 J jnl
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.
ACM Comput. Surv.
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2023 — conf
Interpreting and Correcting Medical Image Classification with PIP-Net.
ECAI Workshops (1)
Meike Nauta, Johannes H. Hegeman, Jeroen Geerdink, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2023 J jnl
Interpreting and Correcting Medical Image Classification with PIP-Net.
CoRR
Meike Nauta, Johannes H. Hegeman, Jeroen Geerdink, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2023 A* conf
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification.
CVPR
Meike Nauta, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2023 — conf
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers.
xAI (1)
Meike Nauta, Christin Seifert
2023 J jnl
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers.
CoRR
Meike Nauta, Christin Seifert
2023 J jnl
Worst-Case Morphs using Wasserstein ALI and Improved MIPGAN.
CoRR
Una M. Kelly, Meike Nauta, Lu Liu, Luuk J. Spreeuwers, Raymond N. J. Veldhuis
2022 J jnl
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.
CoRR
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2022 J jnl
Radiology report generation for proximal femur fractures using deep classification and language generation models.
Artif. Intell. Medicine
Olivier Paalvast, Meike Nauta, Marion Koelle, Jeroen Geerdink, Onno Vijlbrief, Johannes H. Hegeman, Christin Seifert
2021 A* conf
Neural Prototype Trees for Interpretable Fine-Grained Image Recognition.
CVPR
Meike Nauta, Ron van Bree, Christin Seifert
2021 — conf
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition.
PKDD/ECML Workshops (1)
Meike Nauta, Annemarie Jutte, Jesper C. Provoost, Christin Seifert
2020 — conf
Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients.
KDH@ECAI
Meike Nauta, Michel J. A. M. van Putten, Marleen C. Tjepkema-Cloostermans, Jeroen Bos, Maurice van Keulen, Christin Seifert
2020 J jnl
Neural Prototype Trees for Interpretable Fine-grained Image Recognition.
CoRR
Meike Nauta, Ron van Bree, Christin Seifert
2020 J jnl
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition.
CoRR
Meike Nauta, Annemarie Jutte, Jesper C. Provoost, Christin Seifert
2019 J jnl
Causal Discovery with Attention-Based Convolutional Neural Networks.
Mach. Learn. Knowl. Extr.
Meike Nauta, Doina Bucur, Christin Seifert
2019 C conf
Evaluating CNN interpretability on sketch classification.
ICMV
Abraham Theodorus, Meike Nauta, Christin Seifert
2019 — conf
Visualising the Training Process of Convolutional Neural Networks for Non-Experts.
BNAIC/BENELEARN
Michelle Peters, Lindsay Kempen, Meike Nauta, Christin Seifert
2018 — conf
LIFT: Learning Fault Trees from Observational Data.
QEST
Meike Nauta, Doina Bucur, Mariëlle Stoelinga
2017 C conf
Detecting Hacked Twitter Accounts based on Behavioural Change.
WEBIST
Meike Nauta, Mena B. Habib, Maurice van Keulen