Time:
Thursday at 16:00, unless otherwise stated
Location:
Zoom
Organizers:
Faegheh Hasibi and Tom Claassen.

Upcoming speakers

Date Time Room Presenter Title
No upcoming events.

Archive

Date Time Room Presenter Title
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