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| Date | Time | Room | Presenter | Title |
|---|
| 13/6/2024 | 12:30 | HG00.308 | Marieke de Vries/Greg Alpar Radboud University | On Data, Values and Decisions at the Edge of Viability/Education Innovator at iCIS |
| summer break | Seminars will be resumed after summer, probably in September. Stay tuned! |
| Date | Time | Room | Presenter | Title |
|---|---|---|---|---|
| 30/5/2024 | 12:30 | HG00.308 | Zhongyi Hu/Roel Bouman Amsterdam UMC / Radboud University | A Fast Score-Based Search Algorithm for Maximal Ancestral Graphs Using Entropy/Autoencoders for Anomaly Detection are Unsafe and Unreliable |
| 16/5/2024 | 12:30 | HG00.308 | Andreas Stavis/Alex Kolmus Radboud University | Detecting Barely Visible Impact Damage in Aerospace Composite Structures/Tuning Neural Posterior Estimation |
| 2/5/2024 | 12:30 | HG00.308 | Erik Post / Ankur Ankan Radboud University | Detecting and quantifying arm swing using wrist-worn sensors in Parkinson’s disease/Expert-in-the-Loop Causal Discovery |
| 18/4/2024 | 12:30 | HG00.308 | Daria Alexander / Marco Loog Radboud University | User intent classification and ranking. What implications for different types of search?/On More Data and Worse Performance |
| 4/4/2024 | 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 |
| 21/3/2024 | 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 |
| 7/3/2024 | 12:30 | HG01.028 | Cristian Tejedor-Garcia Radboud University | Responsible AI in Speech and Audio Processing |
| 22/2/2024 | 12:30 | HG00.310 | Gabriel Bucur Radboud University | Causal Inference from Complex Longitudinal Data - A Case Study on Parkinson's Disease |
| 8/2/2024 | 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 |
| 25/1/2024 | 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 |
| 11/1/2024 | 11:30 | HG00.310 | Marene Dimmendaal Radboud University | Tell me what you want, what you really really want |
| 7/12/2023 | 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 |
| 9/11/2023 | 11:30 | HG00.071 | Djoerd Hiemstra Radboud University | The environmental impact of deep learning |
| 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 | TBA |
| 04/05/2023 | 12:00 | HG02.052 | Arjen de Vries & Djoerd Hiemstra / Zhuoran Liu Radboud University | TBA |
| 13/04/2023 | 12:00 | E2.72 | Sjoerd de Kreij Typetone.AI | (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 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 |