Every other Thursday at 11:30, unless otherwise stated
Huygens or Erasmus building / Teams
Harrie Oosterhuis and Inge Wortel.

Upcoming speakers

Date Time Room Presenter Title
02/05/2024 12:30 HG00.308 Erik Post / Ankur Ankan
Radboud University
16/05/2024 12:30 HG00.308 Andreas Stavis / Alex Kolmus
Radboud University
30/05/2024 12:30 HG00.308 Zhongyi Hu / Roel Bouman
Amsterdam UMC / Radboud University
13/06/2024 12:30 HG00.308 Marieke de Vries / Inge Wortel
Radboud University


Date Time Room Presenter Title
18/04/2024 12:30 HG00.308 Daria Alexander / Marco Loog
Radboud University
04/04/2024 12:30 HG00.308 Tom Claassen / Nik Vaessen
Radboud University
Unifying Linear and Nonlinear Cyclic Causal Discovery / The effect of batch size on contrastive self-supervised speech representation learning
21/03/2024 12:30 HG01.028 Ellie Curnow / Kate Tilling
Bristol University
Auxiliary imputation variables that only predict missingness can increase bias due to data missing not at random / Selection bias, missing data and causal inference
07/03/2024 12:30 HG01.028 Cristian Tejedor-Garcia
Radboud University
Responsible AI in Speech and Audio Processing
22/02/2024 12:30 HG00.310 Gabriel Bucur
Radboud University
Causal Inference from Complex Longitudinal Data - A Case Study on Parkinson's Disease
08/02/2024 12:30 HG00.310 Wieske de Swart / Norman Knyazev
Radboud University
Comparison of methods for survival analysis with longitudinal data / A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions
25/01/2024 11:30 HG00.310 Negin Ghasemi / Weiwei Wang
Radboud University / East-China Normal University
Cross-Market Product-Related Question Answering / Off-policy evaluation for tabular reinforcement learning with synthetic trajectories.
11/01/2024 11:30 HG00.310 Nik Vaessen / Marene Dimmendaal
Radboud University
TBA / Tell me what you want, what you really really want
07/12/2023 11:30 HG00.071 Hideaki Joko / Harrie Oosterhuis
Radboud University
Entity Linking in Conversations / Doubly Robust Estimation for Position-Biased Clicks
23/11/2023 11:30 E.218 Charlotte Cambier van Nooten / Jan Schering
Radboud University
Graph Isomorphic Networks for Assessing Reliability of the Energy Grid / Fitting Stochastic Lattice Models using Approximate Gradients
09/11/2023 11:30 HG00.071 Djoerd Hiemstra / Marene Dimmendaal
Radboud University
The environmental impact of deep learning / Tell me what you want, what you really really want
26/10/2023 11:30 HG00.310 Ankur Ankan / Tim de Jonge
Radboud University
Residualization-based Conditional Independence Test for Mixed Data / TBA
12/10/2023 12:15 HG00.310 Lucia Cavallaro
Free University of Bozen-Bolzano
Network Feature in Complex Applications
15/06/2023 12:00 HFML0220 Koen Dercksen / Wouter Kant
Radboud University
Efficient prevalence estimation for interactive data exploration using transformers / Marginal Structural Models and heterogeneous measurement times
01/06/2023 12:00 E2.70 Yuliya Shapovalova / Mihaela Mihaylova
Radboud University
Enhancing Kinetic Models for Gene Expression Dynamics using Gaussian Processes / (Immune) Cell Tracking- Why and How
25/05/2023 12:00 E2.72 Johannes Textor / Hannes Mühleisen
Radboud University / CWI
04/05/2023 12:00 HG02.052 Arjen de Vries & Djoerd Hiemstra / Zhuoran Liu
Radboud University
13/04/2023 12:00 E2.72 Sjoerd de Kreij
(Cancelled) Generative AI and fine tuned custom tone of voice models
06/04/2023 12:00 HFML0220 Laurens Sluyterman / Gijs van Tulder
Radboud University
Confidence Intervals for Neural Networks using the Likelihood Ratio Test / Exploiting spatial annotations in image-level mammography classification
23/03/2023 12:00 HG02.028 Lisandro Jimenez Roa / Matthieu de Hemptinne
Univeristy of Twente / VU Amsterdam
Predicting Sewer Pipe Degradation with Multi-State Survival Analysis / Abyss - Correct for population stratification in GWA studies using deep learning
09/03/2023 12:00 E 2.54 Marco Loog
Radboud University / TU Delft
From Semi-Supervised Learning to Learning Curve Behavior
23/02/2023 12:00 HG00.062 Marvin van Bekkum / Gijs Schröder
Radboud University
Non-discrimination by and fairness of AI systems in the insurance industry / Modeling the human immune system as the weighted sum of its parts
26/01/2023 12:00 HG02.032 Simona Nisticò / Olivier Claessen
Radboud University
Why are you an outlier? / Uncertainty Quantification for Physics-informed Neural Networks using log-likelihood
12/01/2023 12:00 HG02.028 Mirthe van Diepen
Radboud University
Unraveling mechanisms of vascular function and cognitive decline with causal discovery
08/12/2022 12:00 E 2.66 Roel Bouman / Yao Tong
Radboud University
How many unsupervised anomaly detection algorithms do we need? / Density-based AdaIN style transfer as data augmentation in mammography classification
24/11/2022 12:00 EOS N 01.560 Franka Buytenhuis / Perry Groot
Radboud University
Nature versus nurture in the immune system / Let's Dance!
10/11/2022 12:00 EOS N 01.560 Avishek Anand
TU Delft
Explainable Information Retrieval
27/10/2022 12:00 E 1.17 Alex Kolmus / Maksim Popov
Radboud University
Simulation-based inference and gravitational waves / Efficient Causal Algorithmic Recourse under Sequential Interventions
13/10/2022 12:00 E 2.54 Yu Liang
TU/e Eindhoven University of Technology
Promoting Music Genre Exploration Through Personalized Nudging
29/09/2022 12:00 E 2.54 Jelle Piepenbrock / Evgenia Martynova
Radboud University
Learning To Prove Mathematical Theorems By Instantiation / Transfer Learning for Immune Cell Detection on Multiplex Immunohistochemistry
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
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
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
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
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
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
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
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