Data Science Lab


08:45 - 09:00 Opening session (J. Ziegel)
09:00 - 10:00 Keynote (Christian Althaus chaired by C. Tretter)
10:00 - 10:15 Coffee Break
10:15 - 11:00 Poster session 1
11:15 - 12:00 Poster session 2
12:00 - 13:30 Lunch break (Lunch not provided)
13:30 - 14:30 Plenary with 4 oral presentations (chaired by C. Beisbart)
14:30 - 15:00 Coffee Break
15:00 - 15:45 Poster session 3
16:00 - 16:45 Poster reward and voting session (S. Haug, M. Reyes, A. Tzovara)
16:45 - 17:00 Closing session (J. Ziegel)
17:00 - 19:00 Apero with 10 highest ranked posters
UniS floorplan for BDSD2022

Poster Sessions take place in 3 Rooms (Foyer, A 019, A 019). Use the floorplan and or the table below to navigate poster exhibitions and to find posters.

ID Room Presenter Title Poster Session
A1 Foyer Anne-Christine Uldry Mass spectrometry data analysis Session 1 (10:15-11:00)
A2 Foyer Noelia Otero On the prediction of extremes in precipitation fields with deep learning Session 1 (10:15-11:00)
A3 Foyer Javier Gamazo Full or weak annotations? An adaptive strategy for budget-constrained annotation campaigns Session 1 (10:15-11:00)
A4 Foyer Martin Rauber Sunset-calc: An R Shiny Application for Processing Thermo-Optical Analysis Data from Atmospheric Aerosol Measurements Session 1 (10:15-11:00)
A5 Foyer Magdalena Camenzind Aiming for more objectivity in creativity assessment – Applying word vectors on creativity data
Session 1 (10:15-11:00)
A6 Foyer Péter Jeszenszky Linguistic Mobility Index: a tool for quantifying dialectal exposure in studies of language variation and change Session 1 (10:15-11:00)
A7 Foyer Céline Portenier Skycam – a deep neural network to derive cloud base height from thermal camera images Session 2 (11:15-12:00)
A8 Foyer Fei Wu Active Learning for Video Segmentation Session 2 (11:15-12:00)
A9 Foyer Matthias Niggli 'Moving On' - Investigating Inventors' Ethnic Origins Using Supervised Learning Session 2 (11:15-12:00)
A10 Foyer Negar Emami Attention-based Neural Networks for Multi-modal Trajectory Prediction Session 2 (11:15-12:00)
A11 Foyer Nick Lüthi Augmented Intelligence, Augmented Responsibility? A Theory of Reason-Responsiveness for Augmented Intelligence Systems 
Session 2 (11:15-12:00)
A12 Foyer Sigurd L. Alnes Computational techniques predict awakening from coma based on EEG responses to sounds Session 3 (15:00 - 15:45)
A13 Foyer Kinga Sipos
Digitalisation of Teaching Mathematics and its Impact on Learning Session 3 (15:00 - 15:45)
A14 Foyer Res Jöhr Age Classification of Brain MRI using Transfer Learning and MATLAB Session 3 (15:00 - 15:45)
A15 Foyer Julia van der Meer The Bern Sleep Database: Clustering of Patients with Sleep Disorders Session 3 (15:00 - 15:45)
A16 Foyer Mykhailo Vladymyrov
Machine-Learning Climate Simulations
Session 3 (15:00 - 15:45)
A17 Foyer Suhang You Attention Shift: A Performance Study on Training Time and Test time Contrast based Image Modifications’ effects on U-Net Models for Brain Tissue Segmentation Session 3 (15:00 - 15:45)
A18 Foyer Thomas Roder OpenGenomeBrowser: A reusable database independent and scalable web platform for genome database management and comparative genomics Session 3 (15:00 - 15:45)
A19 Foyer Adam Bielski
Emergence of Object Segmentation in Perturbed Generative Models Session 3 (15:00 - 15:45)
B1 A 019
Amjad Khan Accurate colorectal cancer lymph node metastasis detection using deep learning Session 1 (10:15-11:00)
B2 A 019 Mykhailo Vladymyrov Investigation of T-cell interactions with a blood-brain barrier model in vitro Session 1 (10:15-11:00)
B3 A 019 Chengchen Zhu Development and evaluation of dynamic-collimator trajectory radiotherapy (colli-DTRT) Session 1 (10:15-11:00)
B4 A 019 Lars Doorenbos Learning non-linear invariants for unsupervised out-of-distribution detection Session 1 (10:15-11:00)
B5 A 019 Lucas Pacheco Estimating Data Quality for Federated and Split Learning Systems Session 1 (10:15-11:00)
B6 A 019 Prisca Dotti Detection and Classification of Local Ca²⁺ Release Events in Cardiomyocytes Using 3D-UNet Neural Network
Session 1 (10:15-11:00)
B7 A 019 Linda Studer Investigating the Spatial Relationship of Tumor-Buds and T-cells in Colorectal Cancer using Graphs Session 1 (10:15-11:00)
B8 A 019 Hannes Anton Loebner A tool to assess robustness of radiotherapy dose distributions against patient- and machine-related uncertainties Session 1 (10:15-11:00)
B9 A 019 Peter Degen Resampling methods as a means to improve low replicability of differential expression results from RNA-Seq data Session 1 (10:15-11:00)
B10 A 019 Giao Nguyen Automatic lymphocyte quantification in virtual CD20-CD3 staining generated from H&E images using GAN colorization Session 2 (11:15-12:00)
B11 A 019 Ioannis Papathanail An Artificial Intelligence-powered system to assess nutrient intake in hospitalised older patients Session 2 (11:15-12:00)
B12 A 019 Kaspar Gubler Dynamic Data Ingestion: Server-side data harmonization in historical research. A centralized approach to providing interoperable research data Session 2 (11:15-12:00)
B13 A 019 Mauro Gwerder Classification of Lung Cancer Metastases in Lymph Nodes Using a Weakly-Supervised Learning Approach Session 2 (11:15-12:00)
B14 A 019 Michel Hayoz Bayesian Fusion Framework for Semantic SLAM in Endoscopy Session 2 (11:15-12:00)
B15 A 019 Amith Kamath Automated Quality Assurance for Radiation Therapy 
Session 3 (15:00 - 15:45)
B16 A 019 André Amado Dynamic eco-evolutionary fitness landscapes display complex evolutionary trajectories and sustained diversity Session 3 (15:00 - 15:45)
B17 A 019 Corin Otesteanu Machine learning for characterizing parasite infected cells in microscopy imaging Session 3 (15:00 - 15:45)
B18 A 019 Ivan Diaz 3D rotation-equivariant segmentation network for brain MRI segmentation tasks Session 3 (15:00 - 15:45)
B19 A 019 Markus Orsi Machine learning aided discovery of membrane disruptive, non-hemolytic anticancer peptides Session 3 (15:00 - 15:45)
C1 A 017
Adrian Jäggi Satellite orbit and gravity field determination at AIUB Session 1 (10:15-11:00)
C2 A 017 Ana Frei Hard negative mining to boost nuclei classification on H&E images Session 1 (10:15-11:00)
C3 A 017 Martin Wegmann Artificial intelligence reconstructs global temperature from scarce local data Session 1 (10:15-11:00)
C4 A 017 Olga Churakova BORIS Portal: Research data and projects Session 1 (10:15-11:00)
C5 A 017 Alexander Holloway A unified toolchain for the living systematic review of mental health during the COVID-19 pandemic Session 2 (11:15-12:00)
C6 A 017 Beatriz Vidondo Animal detection and species classification on Swiss camera trap images using AI Session 2 (11:15-12:00)
C7 A 017 Jo Ann Egger A Neural Network Based Approach to Modelling the Internal Structure of Transiting Exoplanets Session 2 (11:15-12:00)
C8 A 017 Lena Bruhin
Development and Evaluation of a Digital Care Assistant for an Old Age Psychiatry Ward Session 2 (11:15-12:00)
C9 A 017 Matthias Fontanellaz AI vs Human Experts: A comparison between, Network Architectures, Data Presentation, and Feature Selection. Session 2 (11:15-12:00)
C10 A 017 Michael Single Unobtrusive Assessment of Gait in an Apartment by Using Doppler Radars Session 2 (11:15-12:00)
C11 A 017 Patric Wyss Adaptive data-driven selection of sequences of biological and cognitive markers in clinical diagnosis of dementia Session 2 (11:15-12:00)
C12 A 017 Seyedeh Sharareh Mirzargar Learning to Predict Mental Health from Wearables Time-series Session 2 (11:15-12:00)
C13 A 017 Sergio Tascon Morales Consistency-preserving Visual Question Answering in Medical Imaging Session 2 (11:15-12:00)
C14 A 017 Negin Ghamsarian LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos Session 3 (15:00 - 15:45)
C15 A 017 Christian Abbet Automatic tumor-stroma assessment in colorectal cancer using self-supervised domain adaptation Session 3 (15:00 - 15:45)
C16 A 017 Manuel Koesters The Influence of tRNA Modification Mutants on Protein Homeostasis in HEK Cells Session 3 (15:00 - 15:45)
C17 A 017 Paul-Henry Mackeprang 3D interactive visualization of radiotherapy data with the visualization toolkit (VTK) in python using Mayavi Session 3 (15:00 - 15:45)
C18 A 017 Elias Baumann Addressing extreme class imbalance in panoptic nuclei segmentation Session 3 (15:00 - 15:45)
C19 A 017 Saskia Perret-Gentil Quantification of the cellular heterogeneity of a brain endothelial monolayer serving as in vitro model of the blood-brain barrier with Deep Learning Session 3 (15:00 - 15:45)