Apéro, networking & poster session II
Posters can either be
- A0 size in portrait orientation or
- A1 size in either portrait or landscape orientation.
--- Posters ---
Note that the list below contains only the name of the person who will be presenting the poster and their affiliation.
Phenotyping of atrophic patients using automatic retinal biomarker segmentation in Optical Coherence Tomography , Adrian Kaufmann , Ikerian AG, Bern
Investigating Particle Swarm Optimization in High Entropy Alloy Research as an alternative to Bayesian Optimization , Ahmad Tirmidzi , University of Bern
RAvaFcast - Automating regional avalanche danger forecasts in Switzerland , Alessandro Maissen , Swiss Data Science Center
Exploring Brain Rhythms during Speech Perception: Insights from Surrogate Gradient Spiking Neural Networks , Alexandre Bittar , Idiap & EPFL
SPHYNCS: Using Deep Learning to Diagnose Narcolepsy Type 1 based on Polysomnography Data , Annina Helmy , Department of Neurology, Inselspital, Bern
Conditioning way beyond the Gaussian case. , Antoine Faul , Institute for Mathematical Statistics and Actuarial Sciences, University of Bern
Non-Intrusive Load Monitoring (NILM) with very low-frequency data from smart meters in Switzerland , Arnab Chatterjee , Empa (Swiss Federal Laboratories for Materials Science and Technology)
Simulation-Based Inference of Cosmology from Multi-Probe Maps using Deep Learning , Arne Thomsen , ETH Zürich
Extraction of façade features from multiple open data sources for BIPV potential , Ayca Duran , Architecture and Building Systems, ETH Zurich
Democratising data analysis and research data management with Galaxy , Björn Grüning , University of Freiburg, Germany
The Gaussian toolbox: Manipulation of Gaussian densities made easy , Christian Donner , Swiss Data Science Center
AURORA from air pollution sources to mortality , Daniel Trejo Banos , Swiss Data Science Center
Swiss-AL: Language Data Platform for Applied Sciences , Dolores Lemmenmeier , ZHAW - School of Applied Linguistics
Denoising as a strategy for Detecting Ocean Plastic Pollution with few labels , Emanuele DALSASSO , EPFL
Dynamic Federated Learning: Navigating Data and Resource Heterogeneity in Edge Learning Environments , Eric Samikwa , University of Bern
Some combinatorics of data leakage induced by clusters with applications to agronomical and geospatial data , Fabian Guignard , University of Bern & Grinsight
Topological Characterization and Uncertainty Visualization of Atmospheric Rivers , Fangfei Lan , University of Utah & Linköping University, Sweden
Towards achieving FAIR research results from sensitive data within Social Sciences and Humanities , Federico Grasso Toro , Open Science Team, University Library of Bern
What does my network learn? Assessing the interpretability of deep learning for neural signals , Florence Aellen , Center for Experimental Neurology, Inselspital & ICS, University of Bern
Machine learning and surrogate model for two-case studies in nuclear waste management , Guang Hu , Paul Scherrer Institut
The key to understanding past, recent, and future impact of climate change on lake ecosystems: an Open-Source Solution for Hyperspectral Image data processing in geosciences , Guillaume Witz , Data Science Lab, University of Bern
Digiwild – An integrated participatory approach of Syndromic Surveillance in Swiss wild birds , Isabelle Wethli , Institute for Fish and Wildlife Health, University of Bern
Data-driven modeling of biogenic aerosols in the Arctic , Jakob Boyd Pernov , Extreme Environments Research Laboratory, EPFL
Sequential Experimental Design for Computed Tomography , Johannes Kirschner , Swiss Data Science Center
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms , Jonathan Dan , Embedded Systems Laboratory, EPFL
FAIR data workflow for atmospheric chemistry , Juan Felipe Florez-Ospina , Laboratory of Atmospheric Chemistry, Paul Scherrer Institut
A structured architecture for parametrized Physics-Informed Neural Networks (PINNs) , Konstantinos Tatsis , Swiss Data Science Center
Modeling fish acute mortality: implementation, interpretation, and regulatory relevance , Lilian Gasser , Swiss Data Science Center
MUTIGER: MUTations, Interactions and GEne Regulation , Lin Zhang , Swiss Data Science Center
Large-Scale Spatio-Temporal Approximate Bayesian Modeling , Lisa Gaedke-Merzhäuser , Università della Svizzera italiana
Improving ecological and biodiversity monitoring with AI tools , Luca Pegoraro , Eidg. Forschungsanstalt für Wald, Schnee und Landschaft (WSL)
Predicting Oceanic Drifts of Plastic Waste with Physical and Data-driven Approaches , Manon Béchaz , Environmental Computational Science and Earth Observation Laboratory, EPFL
Fairness: Explainable Models and Statistical Best Practices , Marco Scutari , Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA)
Short-term forecasting of COVID-19 hospital admissions using routine hospital data , Martin Wohlfender , University of Bern
Generalizable Feature Extraction via Transfer Learning in Human Activity Recognition , Mehdi Ejtehadi , ETH Zurich
Mapping changes in urban informal settlements in sub-Saharan Africa , Michele Volpi , Swiss Data Science Center
TCBench - An Adaptable Benchmark Dataset for Tropical Cyclones Studies , Milton Gomez , University of Lausanne
Retrieval Augmented Generation (RAG) vs Fine-tuning for domain-specific application , Oh-hyeon Choung , Synple Chem AG & Laboratory of Organic Chemistry, ETH Zurich
Multivariate climate downscaling using deep learning models , Pascal Horton , Institute of Geography & Oeschger Centre for Climate Change Research, University of Bern
Robotoddler: robotic structure building with reinforcement learning , Paul Rolland , Swiss Data Science Center
A Bayesian Causal Model to estimate the effect of Scapular Anatomy on Shoulder Pathology , Pezhman Eghbali , EPFL
Neural timescales hierarchy across the human cortex changes from wakefulness to sleep , Riccardo Cusinato , Department of Computer Science, University of Bern
ClimeApp: Opening doors to the past global climate , Richard Warren , Oeschger Centre for Climate Change Research and Institute of History, University of Bern
Deep learning for exploring honeybee collective dynamics , Rob Mills , Mobile robotic systems group, EPFL
Direct mineral content prediction from drill core images via transfer learning , Romana Boiger , Paul Scherrer Institut
Intraday GHI Forecasting Using Webcams , Roy Sarkis , EPFL
ML-based Radiation Emulator for Climate and Weather Modeling , Salman Mohebi , Swiss Data Science Center
The reliability of forecasts for extreme events , Sam Allen , ETH Zurich
detecting Drought IMPacts on forests in Earth Observation data , Samantha Biegel , ETH Zurich, ETH AI Center
Transfer Learning Application of Self-Supervised Learning in ARPES Equipped with Graph Neural Network , Sandy Ekahana , Paul Scherrer Institute
ORDNA: Deep Learning Ordination for Raw Environmental DNA Samples , Steven Stalder , Swiss Data Science Center
On the forecasting of the fatigue-induced damage in Francis turbines start-up sequences , Till Muser , Swiss Data Science Center
Equivariances of random field paths with applications in Gaussian process modeling , Tim Steinert , IMSV, University of Bern
A Note on Universal Inference and Universal Model Confidence Sets , Timmy Rong Tian Tse , EPFL
How to Increase the Trustworthiness of the Results of my Data Analysis Workflow? A Software Engineering Perspective , Timo Kehrer , University of Bern
EnviDat – A Decade of Bridging Environmental Research Insights with Open Research Data , Veruska Muccione , Swiss Federal Institute for Forest, Snow and Landscape Research (WSL)
Accelerating High Entropy Alloy Catalyst Discovery Through Multi-Dimensional Modelling , Vladislav Mints , University of Bern
Spatio-Temporal Routing Module for Data-Driven River Discharge Prediction in Switzerland , William Aeberhard , Swiss Data Science Center
Enhancing spatial resolution in MÖNCH detectors for electron microscopy via deep learning , Xiangyu Xie , Paul Scherrer Institut
Pheno-Mine: Extracting dynamic ideotypes from seasonal image time series of wheat taken in the field , Xiaoran, Chen , Swiss Data Science Center
Attention-Based Methods for Diverse Dataset Distillation , Yun Cheng , Swiss Data Science Center
Near-realtime quality control of atmospheric composition measurements , Yuri Brugnara , Laboratory for Air Pollution and Environmental Technology, Empa
Application of deep learning models to assess patterns of internal displacement and their implications for livelihoods due to climate fragilities , Zar Chi Aye , Centre for Development and Environment, University of Bern
Posters can either be
- A0 size in portrait orientation or
- A1 size in either portrait or landscape orientation.
--- Posters ---
Note that the list below contains only the name of the person who will be presenting the poster and their affiliation.
Phenotyping of atrophic patients using automatic retinal biomarker segmentation in Optical Coherence Tomography , Adrian Kaufmann , Ikerian AG, Bern
Investigating Particle Swarm Optimization in High Entropy Alloy Research as an alternative to Bayesian Optimization , Ahmad Tirmidzi , University of Bern
RAvaFcast - Automating regional avalanche danger forecasts in Switzerland , Alessandro Maissen , Swiss Data Science Center
Exploring Brain Rhythms during Speech Perception: Insights from Surrogate Gradient Spiking Neural Networks , Alexandre Bittar , Idiap & EPFL
SPHYNCS: Using Deep Learning to Diagnose Narcolepsy Type 1 based on Polysomnography Data , Annina Helmy , Department of Neurology, Inselspital, Bern
Conditioning way beyond the Gaussian case. , Antoine Faul , Institute for Mathematical Statistics and Actuarial Sciences, University of Bern
Non-Intrusive Load Monitoring (NILM) with very low-frequency data from smart meters in Switzerland , Arnab Chatterjee , Empa (Swiss Federal Laboratories for Materials Science and Technology)
Simulation-Based Inference of Cosmology from Multi-Probe Maps using Deep Learning , Arne Thomsen , ETH Zürich
Extraction of façade features from multiple open data sources for BIPV potential , Ayca Duran , Architecture and Building Systems, ETH Zurich
Democratising data analysis and research data management with Galaxy , Björn Grüning , University of Freiburg, Germany
The Gaussian toolbox: Manipulation of Gaussian densities made easy , Christian Donner , Swiss Data Science Center
AURORA from air pollution sources to mortality , Daniel Trejo Banos , Swiss Data Science Center
Swiss-AL: Language Data Platform for Applied Sciences , Dolores Lemmenmeier , ZHAW - School of Applied Linguistics
Denoising as a strategy for Detecting Ocean Plastic Pollution with few labels , Emanuele DALSASSO , EPFL
Dynamic Federated Learning: Navigating Data and Resource Heterogeneity in Edge Learning Environments , Eric Samikwa , University of Bern
Some combinatorics of data leakage induced by clusters with applications to agronomical and geospatial data , Fabian Guignard , University of Bern & Grinsight
Topological Characterization and Uncertainty Visualization of Atmospheric Rivers , Fangfei Lan , University of Utah & Linköping University, Sweden
Towards achieving FAIR research results from sensitive data within Social Sciences and Humanities , Federico Grasso Toro , Open Science Team, University Library of Bern
What does my network learn? Assessing the interpretability of deep learning for neural signals , Florence Aellen , Center for Experimental Neurology, Inselspital & ICS, University of Bern
Machine learning and surrogate model for two-case studies in nuclear waste management , Guang Hu , Paul Scherrer Institut
The key to understanding past, recent, and future impact of climate change on lake ecosystems: an Open-Source Solution for Hyperspectral Image data processing in geosciences , Guillaume Witz , Data Science Lab, University of Bern
Digiwild – An integrated participatory approach of Syndromic Surveillance in Swiss wild birds , Isabelle Wethli , Institute for Fish and Wildlife Health, University of Bern
Data-driven modeling of biogenic aerosols in the Arctic , Jakob Boyd Pernov , Extreme Environments Research Laboratory, EPFL
Sequential Experimental Design for Computed Tomography , Johannes Kirschner , Swiss Data Science Center
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms , Jonathan Dan , Embedded Systems Laboratory, EPFL
FAIR data workflow for atmospheric chemistry , Juan Felipe Florez-Ospina , Laboratory of Atmospheric Chemistry, Paul Scherrer Institut
A structured architecture for parametrized Physics-Informed Neural Networks (PINNs) , Konstantinos Tatsis , Swiss Data Science Center
Modeling fish acute mortality: implementation, interpretation, and regulatory relevance , Lilian Gasser , Swiss Data Science Center
MUTIGER: MUTations, Interactions and GEne Regulation , Lin Zhang , Swiss Data Science Center
Large-Scale Spatio-Temporal Approximate Bayesian Modeling , Lisa Gaedke-Merzhäuser , Università della Svizzera italiana
Improving ecological and biodiversity monitoring with AI tools , Luca Pegoraro , Eidg. Forschungsanstalt für Wald, Schnee und Landschaft (WSL)
Predicting Oceanic Drifts of Plastic Waste with Physical and Data-driven Approaches , Manon Béchaz , Environmental Computational Science and Earth Observation Laboratory, EPFL
Fairness: Explainable Models and Statistical Best Practices , Marco Scutari , Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA)
Short-term forecasting of COVID-19 hospital admissions using routine hospital data , Martin Wohlfender , University of Bern
Generalizable Feature Extraction via Transfer Learning in Human Activity Recognition , Mehdi Ejtehadi , ETH Zurich
Mapping changes in urban informal settlements in sub-Saharan Africa , Michele Volpi , Swiss Data Science Center
TCBench - An Adaptable Benchmark Dataset for Tropical Cyclones Studies , Milton Gomez , University of Lausanne
Retrieval Augmented Generation (RAG) vs Fine-tuning for domain-specific application , Oh-hyeon Choung , Synple Chem AG & Laboratory of Organic Chemistry, ETH Zurich
Multivariate climate downscaling using deep learning models , Pascal Horton , Institute of Geography & Oeschger Centre for Climate Change Research, University of Bern
Robotoddler: robotic structure building with reinforcement learning , Paul Rolland , Swiss Data Science Center
A Bayesian Causal Model to estimate the effect of Scapular Anatomy on Shoulder Pathology , Pezhman Eghbali , EPFL
Neural timescales hierarchy across the human cortex changes from wakefulness to sleep , Riccardo Cusinato , Department of Computer Science, University of Bern
ClimeApp: Opening doors to the past global climate , Richard Warren , Oeschger Centre for Climate Change Research and Institute of History, University of Bern
Deep learning for exploring honeybee collective dynamics , Rob Mills , Mobile robotic systems group, EPFL
Direct mineral content prediction from drill core images via transfer learning , Romana Boiger , Paul Scherrer Institut
Intraday GHI Forecasting Using Webcams , Roy Sarkis , EPFL
ML-based Radiation Emulator for Climate and Weather Modeling , Salman Mohebi , Swiss Data Science Center
The reliability of forecasts for extreme events , Sam Allen , ETH Zurich
detecting Drought IMPacts on forests in Earth Observation data , Samantha Biegel , ETH Zurich, ETH AI Center
Transfer Learning Application of Self-Supervised Learning in ARPES Equipped with Graph Neural Network , Sandy Ekahana , Paul Scherrer Institute
ORDNA: Deep Learning Ordination for Raw Environmental DNA Samples , Steven Stalder , Swiss Data Science Center
On the forecasting of the fatigue-induced damage in Francis turbines start-up sequences , Till Muser , Swiss Data Science Center
Equivariances of random field paths with applications in Gaussian process modeling , Tim Steinert , IMSV, University of Bern
A Note on Universal Inference and Universal Model Confidence Sets , Timmy Rong Tian Tse , EPFL
How to Increase the Trustworthiness of the Results of my Data Analysis Workflow? A Software Engineering Perspective , Timo Kehrer , University of Bern
EnviDat – A Decade of Bridging Environmental Research Insights with Open Research Data , Veruska Muccione , Swiss Federal Institute for Forest, Snow and Landscape Research (WSL)
Accelerating High Entropy Alloy Catalyst Discovery Through Multi-Dimensional Modelling , Vladislav Mints , University of Bern
Spatio-Temporal Routing Module for Data-Driven River Discharge Prediction in Switzerland , William Aeberhard , Swiss Data Science Center
Enhancing spatial resolution in MÖNCH detectors for electron microscopy via deep learning , Xiangyu Xie , Paul Scherrer Institut
Pheno-Mine: Extracting dynamic ideotypes from seasonal image time series of wheat taken in the field , Xiaoran, Chen , Swiss Data Science Center
Attention-Based Methods for Diverse Dataset Distillation , Yun Cheng , Swiss Data Science Center
Near-realtime quality control of atmospheric composition measurements , Yuri Brugnara , Laboratory for Air Pollution and Environmental Technology, Empa
Application of deep learning models to assess patterns of internal displacement and their implications for livelihoods due to climate fragilities , Zar Chi Aye , Centre for Development and Environment, University of Bern
Speakers
Join us on April 11th & 12th 2024
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