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| Date | Time | Room | Presenter | Title |
|---|---|---|---|---|
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| Date | Time | Room | Presenter | Title |
|---|---|---|---|---|
| 09/06/2022 | 13:30 | M1.00.02 |
Norman Knyazev Radboud University |
The Bandwagon Effect: Not Just Another Bias |
| 12/05/2022 | 13:30 | M1.00.02 |
Tal Kachman Radboud University / Donders Institute for Brain, Cognition and Behaviour |
Diversity effects in generative models |
| 14/04/2022 | 13:30 | Zoom |
Wieske de Swart Radboud University |
Dynamic Survival Analysis |
| 08/04/2022 | 11:00 | Zoom |
Carsten Eickhoff Brown University |
Uncertainty and Calibration in Search |
| 24/03/2022 | 13:30 | Zoom |
Hideaki Joko Radboud University |
Conversational Entity Linking |
| 24/02/2022 | 13:30 | Zoom |
Iordan Ganev Radboud University |
Equivariance and model compression for quiver neural networks |
| 10/02/2022 | 13:30 | Zoom |
Emma Gerritse Radboud University |
Entity-aware Transformers for Entity Search |
| 27/01/2022 | 13:30 | Zoom |
Parisa Naseri Radboud University |
A Bayesian spatio-temporal model for joint estimation of brain activation and connectivity in task-based fMRI data |
| 16/12/2021 | 13:30 | Zoom |
Frederik Zuiderveen Borgesius and Marvin van Bekkum Radboud University |
Using special category data to prevent discrimination: does the GDPR need a new exception? |
| 02/12/2021 | 13:30 | Zoom |
Twan van Laarhoven Radboud University |
Softmax Recurrent Neural Networks |
| 11/11/2021 | 13:30 | Zoom |
Nik Vaessen Radboud University |
Fine-tuning wav2vec2 for speaker recognition |
| 06/10/2021 | 11:00 | Zoom |
Ankur Ankan Radboud University |
A Simple Unified Approach to Testing High-Dimensional Conditional Independencies for Categorical and Ordinal Data |
| 01/07/2021 | 16:00 | Zoom |
Chris Kamphuis Radboud University |
GeeseDB: A Python Graph Engine for Exploration and Search |
| 17/06/2021 | 16:00 | Zoom |
David van Leeuwen Radboud University |
Fifty ways of calibration |
| 03/06/2021 | 16:00 | Zoom |
Faegheh Hasibi Radboud University |
REL: An Entity Linker Standing on the Shoulders of Giants |
| 21/05/2021 | 11:00 | Zoom |
Tom Claassen Radboud University |
A new anytime-anywhere algorithm for causal discovery |
| 06/05/2021 | 16:00 | Zoom |
Zhuoran Liu Radboud University |
Pivoting image-based profiles toward privacy: Inhibiting malicious profiling with adversarial additions |
| 22/04/2021 | 16:00 | Zoom |
Konrad Mielke Radboud University |
Discovering ecological relationships in freshwater ecosystems |
| 08/04/2021 | 16:00 | Zoom |
Harrie Oosterhuis Radboud University |
Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank |
| 26/03/2021 | 11:00 | Zoom |
Gijs van Tulder Radboud University |
Multi-view analysis of unregistered medical images using cross-view transformers |
| 11/03/2021 | 16:00 | Zoom |
Jaeyoung Choi International Computer Science Institute |
Semi-Supervised Approach to Mitigation of Dataset Deficiency in a Shared Semantic Space |
| 26/02/2021 | 11:00 | Zoom |
Inge Wortel Radboud University |
What If T Cells Could Learn French? |
| 11/02/2021 | 16:00 | Zoom |
Koen Dercksen Radboud University |
Bridging the vocabulary gap between patients and medical professionals |
| 28/01/2021 | 16:00 | Zoom |
Yuliya Shapovalova Radboud University |
Gaussian Processes: A Data-Driven Way to Model Drug Synergy (and RNA-seq Data) |
| 14/01/2021 | 16:00 | Zoom |
Negin Ghasemi Radboud University |
BERT Meets Cranfield: Uncovering the Benefits of Full Ranking on Fully Labeled Data |
| 05/03/2020 | 14:00 | M1.00.02 |
Gabriel Bucur Radboud University |
MASSIVE: Model Assessment and Stochastic Search for Instrumental Variable Estimation |
| 27/02/2020 | 14:00 | M1.00.02 |
Konrad Mielke Radboud University |
Discovering cause-effect relationships in spatial systems with known direction based on observational data |
| 06/02/2020 | 14:00 | M1.00.02 |
Rik Vullings Eindhoven University |
Signal analysis for unobtrusive health monitoring |
| 16/01/2020 | 14:00 | M1.00.02 |
Gabriëlle Ras Donders Institute, Radboud University |
Explainability for Deep Learning: An Introduction |
| 09/01/2020 | 15:00 | M1.00.02 |
Jorrit van der Laan Radboud University |
Unsupervised System Identification in Partially Observable Environments using Variational Inference |
| 19/12/2019 | 14:00 | M1.00.02 |
Chris Kamphuis Radboud University |
Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants |
| 02/12/2019 | 12:30 | HG00.086 |
Harrie Oosterhuis University of Amsterdam |
The State of the Outline Learning to Rank Field |
| 21/11/2019 | 14:00 | M1.00.02 |
Emma Gerritse Radboud University |
Graph-Embedding Empowered Entity Retrieval |
| 14/11/2019 | 14:00 | M1.00.02 |
Zhengyu Zhao Radboud University |
Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance |
| 24/10/2019 | 14:00 | M1.00.02 |
Luc Evers Radboud University |
Sensor-based analysis of real-life gait: useful marker for Parkinson’s disease? |
| 26/09/2019 | 14:00 | M1.00.02 |
Zaheer Babar Radboud University |
Sentence Based Automated Radiology Report Generation |
| 13/06/2019 | 14:00 | M1.00.02 |
Gijs van Tulder Erasmus MC |
Representation and Transfer Learning for Multi-Modal Medical Image Analysis |
| 06/06/2019 | 14:00 | M1.00.02 |
Frederik Zuiderveen Borgesius Radboud University |
Discrimination, Artificial Intelligence, and Algorithmic Decision-Making |
| 23/05/2019 | 14:00 | HG00.065 |
Adriana Bîrluțiu University of Alba Iulia |
Machine Learning and Computer Vision Techniques for Optimizing the Manufacturing Process of Porcelain |
| 02/05/2019 | 14:00 | M1.00.02 |
Rasmus Lönn Maastricht University |
Optimizing large portfolios using risk factors and sparse hedging |
| 18/04/2019 | 16:00 | M1.00.02 |
Wouter-Michiel Vierdag Radboudumc |
Deep learning for medical imaging, first experiences with using synthetic training data |
| 11/04/2019 | 16:00 | M1.00.02 |
Feri Wijayanto Radboud University |
Semi-Automated Rasch Analysis using In-plus-out-of-questionnaire Log Likelihood |
| 04/04/2019 | 14:00 | M1.00.02 |
Tom Claassen Radboud University |
Greedy SAT-score search for constraint-based causal discovery |
| 28/03/2019 | 16:00 | M1.00.02 |
Martha Larson Radboud University |
New views on multimedia data: Privacy and other reasons for research on data minimization |
| 21/03/2019 | 16:00 | M1.00.02 |
Gabriel Bucur Radboud University |
Large-Scale Gene Network Causal Inference with Bayes Factors of Covariance Structures |
| 28/02/2019 | 16:00 | M1.00.02 |
Gido Schoenmacker Radboud University |
Stable predictor selection for antisocial behaviour involving police |
| 14/02/2019 | 16:00 | M1.00.02 |
Nastaran Mohammadian Rad Radboud University |
Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinsons Disease and Autism Spectrum Disorders. |
| 17/01/2019 | 16:00 | M1.00.02 |
Alexandru Serban Radboud University |
Security aspects of Deep and Reinforcement Learning |
| 10/01/2019 | 16:00 | M1.00.02 |
Andrey Kateshov SIMON |
Road incident classification with traffic flow data |
| 06/12/2018 | 15:00 | M1.00.02 |
Arianne Meijer Radboud University |
Generative chatbots: cash cows or marketing disasters? |
| 29/11/2018 | 16:00 | M1.00.02 |
Konrad Mielke Radboud University |
Challenges of Machine Learning in Ecology: Spatial Autocorrelation |
| 15/11/2018 | 16:00 | M1.00.02 |
Elena Sokolova Radboud University |
Challenges of applying Machine Learning in Booking.com |
| 08/11/2018 | 16:00 | M1.00.02 |
Lijing Lin University of Manchester |
Phenotyping immune responses in asthma and respiratory infections and predictive modelling in healthcare |
| 01/11/2018 | 16:00 | M1.00.02 |
Kai Chen Radboud University |
Generalized Convolution Spectral Mixture Kernels for Gaussian Processes |
| 25/10/2018 | 16:00 | HG00.308 |
Niko Brummer Nuance Communications |
Meta-Embeddings for Speaker Recognition |
| 11/10/2018 | 16:00 | M1.00.02 |
Zhengyu Zhao Radboud University |
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition |
| 04/10/2018 | 16:00 | M1.00.02 |
Philip Jørgensen DTU |
Probabilistic PARAFAC2 |
| 20/09/2018 | 16:00 | M1.00.02 |
Emma Gerritse Radboud University |
An analysis of Network Deconvolution |
| 17/09/2018 | 16:00 | M1.00.02 |
Tineke Blom University of Amsterdam |
Causal Modeling in Dynamical Systems using Causal Constraint Models (CCM) |
| 13/09/2018 | 16:00 | HG03.054 |
James Collier |
Statistical Inductive Inference of Protein Structural Alignments |
| 22/08/2018 | 11:00 | HG01.058 |
Moira Berens Radboud University Nijmegen |
Obfuscating Unwanted Objects in Images with Autoencoders |
| 20/08/2018 | 16:00 | M1.00.02 |
Aumkar Lele Radboud University |
Measuring walking distance using cellphone sensor data |
| 13/08/2018 | 11:15 | M1.00.02 |
Patrick Ebel Radboud University |
Cross-modal Scene Prediction with Adversarial Domain Uncertainty Alignment |
| 18/06/2018 | 16:00 | M1.00.02 |
Luc Evers Radboud University Nijmegen |
new methods to quantify Parkinson's disease: using wearable sensors in daily life |
| 28/05/2018 | 16:00 | M1.00.02 |
Jonne Engelberts Radboud University Nijmegen |
Face Spoofing Detection using Patch-based Deep Convolutional Neural Networks |
| 14/05/2018 | 16:00 | HG01.060 |
Zaheer Babar Radboud University Nijmegen |
Generating captions from medical images using deep learning |
| 23/04/2018 | 16:00 | HG00.310 |
Feri Wijayanto Radboud University Nijmegen |
Best Item Selection for Rasch Analysis |
| 09/04/2018 | 16:00 | HG00.310 |
Jeroen Manders Radboud University Nijmegen |
Simple Domain Adaptation with Class Prediction Uncertainty Alignment |
| 26/03/2018 | 16:00 | M1.00.02 |
Jacopo Acquarelli Radboud University Nijmegen |
Feature Extraction and Clustering of Flow Cytometry Algae Images |
| 05/03/2018 | 16:00 | M1.00.02 |
Tom Claassen Radboud University Nijmegen |
Multi-source causal discovery with extended JCI |
| 19/02/2018 | 16:00 | M1.00.02 |
Gabriel Bucur Radboud University Nijmegen |
Bayesian Mendelian Randomization: A Tool for Robust Causal Inference in Observational Epidemiology |
| 12/02/2018 | 16:00 | HG00.308 |
Thijs van Ommen University of Amsterdam |
Algebraic Equivalence of Linear Structural Equation Models |
| 29/01/2018 | 13:00 | M1.00.02 |
Evgeni Levin AMC/UvA |
Learning to learn from metabolic syndrome |
| 15/01/2018 | 16:00 | M1.00.02 |
Ruifei Cui Radboud University Nijmegen |
Learning Causal Structure from Mixed Data with Missing Values using Gaussian Copula Models |
| 04/12/2017 | 14:00 | HG00.310 |
Thomas de Bel Radboud University Nijmegen |
Semantic segmentation in medical image analysis using an adapted U-net framework |
| 27/11/2017 | 16:00 | M1.00.02 |
Natalia Bielczyk Radboud University Nijmegen |
Causality in fMRI - theory versus practice |
| 20/11/2017 | 16:00 | M1.00.02 |
Marvin Oeben Radboud University Nijmegen/PwC |
Fraud and anomaly detection in graphs |
| 06/11/2017 | 16:00 | HG.00.308 |
Gido Schoenmacker Radboud University Nijmegen |
Predicting complex traits in humans from DNA |
| 30/10/2017 | 14:45 | HG.00.308 |
Jan Lemeire Vrije Universiteit Brussel |
Causal structure discovery from data: a challenge |
| 30/10/2017 | 14:00 | HG.00.308 |
Jaap Kamps University of Amsterdam |
Neural Ranking Models with Weak Supervision |
| 02/10/2017 | 15:30 | M1.00.02 |
Johannes Textor Radboud University Nijmegen |
How the Human Immune System Detects Anomalies |
| 10/07/2017 | 15:30 | HG01.58 |
Martijn Nanne Radboud University Nijmegen |
An offline analysis of the CLEF-NEWSREEL evaluation |
| 26/06/2017 | 15:30 | M1.00.02 |
Suzanne van den Bosch Radboud University Nijmegen |
Automatic feature generation and selection in predictive analytics solutions |
| 19/06/2017 | 15:30 | HG01.028 |
Martha Larson Radboud University Nijmegen |
The Geo-Privacy Bonus of Popular Photo Enhancements |
| 12/06/2017 | 15:40 | M1.00.02 |
Simon Brugman Radboud University Nijmegen |
Real-time Logo Recognition using Deep Learning |
| 29/05/2017 | 15:30 | HG01.028 |
Arjen de Vries Radboud University Nijmegen |
Understanding Web Archive Retrieval using Retrievability |
| 22/05/2017 | 15:30 | M1.00.02 |
Jacopo Acquarelli Radboud University Nijmegen |
Hyperspectral Images Classification using a single layer Convolutional Neural Network based method |
| 08/05/2017 | 15:30 | M1.00.02 |
Nastaran Mohammadian Rad University of Trento/Radboud University Nijmegen |
|
| 24/04/2017 | 15:30 | HG02.028 |
Guido Zuidhof Radboud University Nijmegen |
JPEG Compression Artifact Removal with Convolutional Neural Networks |
| 18/04/2017 | 13:30 | M1.00.02 |
Thaer Samar CWI |
Accessibility of the past Web (Web Archives) |
| 11/04/2017 | 13:30 | M1.00.02 |
Jesse Krijthe Radboud University Nijmegen |
Robust Semi-supervised Learning: Constraints, Projections & Limits |
| 28/03/2017 | 13:30 | M1.00.02 |
Senna van Iersel Radboud University Nijmegen |
Composite recommendation and persona-ization in a shopping environment |
| 21/03/2017 | 14:30 | HG02.028 |
Natalie Widmann Radboud University Nijmegen |
Graph-based semi-supervised learning for text categorization |
| 28/02/2017 | 13:30 | HG01.058 |
Robbert van der Gugten Radboud University Nijmegen |
|
| 07/02/2017 | 12:30 | HG01.058 |
Jeroen Jansen Radboud University Nijmegen |
|
| 31/01/2017 | 11:30 | M1.00.02 |
Martijn Nanne Radboud University Nijmegen/Booking.com |
Using Feature Interactions In Machine Learning Models |
| 13/12/2016 | 11:00 | M1.00.02 |
Simone Lederer Radboud University Nijmegen |
|
| 29/11/2016 | 11:00 | M1.00.02 |
Tom Claassen Radboud University Nijmegen |
Causal discovery in experimental data sets: handling deterministic relations |
| 22/11/2016 | 11:00 | M1.00.02 |
Gabriel Bucur Radboud University Nijmegen |
Robust Causal Estimation in the Large-Sample Limit without Faithfulness |
| 15/11/2016 | 11:00 | M1.00.02 |
Gido Schoenmacker Radboud University Nijmegen |
Looking for genetic hot spots: from SNP to gene level |
| 08/11/2016 | 11:00 | M1.00.02 |
Jacopo Acquarelli Radboud University Nijmegen |
Transfer Learning for Vibrational Spectroscopic Data |
| 01/11/2016 | 12:30 | HG02.028 |
Bob Stienen Radboud University Nijmegen |
Speeding up Exclusion Limit Calculations in Particle Physics with Machine Learning |
| 25/10/2016 | 11:00 | M1.00.02 |
Moritz Schauer University of Leiden |
A graphical perspective on Gauss-Markov process priors |
| 18/10/2016 | 11:00 | M1.00.02 |
Errol Zalmijn ASML |
Transfer entropy: an information signature of causation in ASML nanolithography time series analysis. |
| 11/10/2016 | 12:30 | HG02.028 |
Matthew Mitsui |
Extracting Information Seeking Intentions for Web Search |
| 04/10/2016 | 11:00 | M1.00.02 |
Suzan Verberne Radboud University Nijmegen |
Human-computer information interaction |
| 27/09/2016 | 11:00 | M1.00.02 |
Harm Berntsen Nedap N.V. |
The Artificial Mind's Eye: Resisting Adversarials for Convolutional Neural Networks using Internal Projection |
| 20/09/2016 | 15:30 | M1.00.02 |
André van der Veen |
|
| 13/09/2016 | 11:00 | M1.00.02 |
Camille Escher |
Temporal Fusion in Content-Based Video Retrieval |
| 06/09/2016 | 12:30 | M1.00.02 |
Twan van Laarhoven Radboud University Nijmegen |
Batch normalization versus regularization for training deep neural networks |
| 01/07/2016 | 15:30 | M1.00.02 |
Steven Reitsma Radboud University Nijmegen |
|
| 17/06/2016 | 15:30 | M1.00.02 |
Maaike de Boer Radboud University Nijmegen |
|
| 03/06/2016 | 15:30 | M1.00.02 |
Ruifei Cui Radboud University Nijmegen |
|
| 27/05/2016 | 15:30 | M1.00.02 |
Odette Scharenborg Radboud University Nijmegen |
|
| 13/05/2016 | 15:30 | M1.00.02 |
Bram Arends |
|
| 29/04/2016 | 15:30 | M1.00.02 |
Johannes Textor Radboud University Nijmegen |
MotilityLab: Storing, Sharing, and Analyzing Immune Cell Migration Data |
| 22/04/2016 | 15:30 | M1.00.02 |
Suzan Verberne Radboud University Nijmegen |
Extractive summarization of discussion forum threads: How to deal with low agreement? |
| 08/04/2016 | 15:45 | M1.00.02 |
Evgeni Levin TNO |
Semi-supervised feature selection via co-regularized sparse-group lasso |
| 18/03/2016 | 15:30 | M1.00.02 |
Tom Claassen Radboud University Nijmegen |
Robust Causal Discovery - Towards Handling Faithfulness Violations |
| 12/02/2016 | 15:30 | M1.00.02 |
Jacopo Acquarelli Radboud University Nijmegen |
Convolutional Neural Networks for vibrational spectroscopy classification without pre-processing |
| 29/01/2016 | 15:30 | M1.00.02 |
Gido Schoenmacker Radboud University Nijmegen |
On finding missing heritability |
| 22/01/2016 | 15:30 | M1.00.02 |
Ridho Rahmadi Radboud University Nijmegen |
Causal Modeling on Cross-Sectional Data: Stable Specification Search in Constrained Structural Equation Modeling |
| 15/01/2016 | 15:30 | M1.00.02 |
Mohsen Ghafoorian Radboud University Nijmegen |
A location-sensitive deep convolutional neural network approaches human level performance in segmentation of white matter hyperintensities |