Presented posters:

AI & Cities

City Sense – Chidubem Iddianozie, University College Dublin

Automated Feature Detection From Property Imagery Data – Bailey Griswold, New York University, Center for Urban Science and Progress

Automated Detection of Street-Level Tobacco Advertising Displays – Isha Chaturvedi, New York University

Learning how to plan healthier cities with precise data – andrea salmi, CEAT EPFL

Supervised model for building occupancy prediction from electrical consumption data – Marina Dorokhova, EPFL STI IMT PV-LAB

AI & Computer Systems

MULDER: Unsupervised Anomaly Detection for Streaming Applications – Lewis Tunstall, SPOUD AG

Coordinate Descent with Bandit Sampling – Farnood Salehi, EPFL

AI & Environment

AEMS - energy management for SMEs – Nicola Thorn, AND Technology Research

Learning to Benefit from Flexible Energy Consumption on a Small Grid – Nicole Ludwig, Karlsruhe Institute of Technology

Reducing Food Waste with Computer Vision in 24 hours – Arnout Devos, EPFL

Learning to find Mountains – Rocio Nahime Torres, Politecnico di Milano

Building envelope and energy system retrofit via Artificial Neural Networks – Emmanouil Thrampoulidis, Urban Energy Systems Lab, Empa Dübendorf

Leveraging large-scale physics-based simulations to improve immediate response after earthquakes – Xavier Bellagamba, QuakeCoRE

Risk Estimation of Extreme Windstorms – Raphaël de Fondeville, EPFL

Image Segmentation for Solar Panel Placement – Philipp Jackmuth, dida Datenschmiede GmbH

AI & Health

Smartphone-based Acoustic Breath-phases Detection for Real-time Biofeedback Breathing Training – Chen-Hsuan (Iris) Shih, ETH Zürich | Center for Digital Health Intervention - HealthIS Lab

Stroke Classification Using Deep Learning – Lisa Herzog

Machine learning algorithms on multi-layer architecture to process hidden information for systems medicine applications – Adriana Haulica, Bioclinome

Deep Learning for Classification of Non-Small Cell Lung Cancer histologic subtypes – Elvis Murina, ZHAW

Open standards for deployment, storage and sharing of predictive models – Svetlana Levitan, IBM

Deep Learning-Based Human Activity Recognition for Continuous Activity and Gesture Monitoring for Schizophrenia Patients with Negative Symptoms – Florian Lipsmeier, F. Hoffmann-La Roche Ltd

Deep learning for outcome prediction in breast and colorectal cancer – Dmitrii Bychkov, University of Helsinki

BrainFlow: scalable processing, modelling, and inference for neuroimaging data – Mazen Fouad A-Wali Mahdi, Siemens Healthcare

Data Fusion in CNNs for Real-Time Pollen Particle Identification – Predrag Matavulj, BioSense Institute
Model (PHREND) for personalized prediction of treatment response in relapsing remitting multiple sclerosis (RRMS) – Federica Lionetto, PwC Switzerland

Predicting thyroid dysfunction with machine learning – Opetunde Adepoju, Ladoke Akintola University of Technology

AI & Industry

WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems – Michael Villamizar, Idiap Research Institute

Multi-Scale Sequential Network for Semantic Text Segmentation and Localization – Michael Villamizar, Idiap Research Institute

Trajectory Tracking Optimization with Gaussian Processes – Samuel Balula, ETHZ

Cogito Instruments – Örs Málnási-Csizmadia, Cogito Instruments

A smart Entity Resolution: empower unsupervised machine learning to harmonize customer data lakes – Marco Venturini, EY

Smart Manufacturing: Monitoring of Tool Wear using Machine Learning Methods – Markus Rokicki, L3S Research Center

A machine learning driven approach for reducing customer returns in the microelectronics industry : on-wafer anomaly detection – Amalia Spataru, Melexis

Prediction vs. understanding with Random Forest – Mireille Moser, Nestlé

Extracting Reliable Topics Using Topic Model Ensembles – Stephan Sahm, Data Reply GmbH

AI & Language

Easy Review Sentiment Analysis with pandas and scikit-learn – Arnout Devos, EPFL

Comparing Insights Derived Using Manual Inductive Qualitative Analysis Versus Automated NLP Algorithms for Analyzing Differences in User Feedback in Digital Randomized Experiments – Mary Hu, Microsoft

End-to-end accented speech recognition improvement through multi-task learning – Thibault Viglino, EPFL

A Comparison of Machine Learning Models to Predict the Outcome of Swiss Federal Votes Using the Text of the Official Voter Pamphlets – Daniel Müller, stellus.ch

Chinese Sentiment Analysis using Deep Learning Techniques – Vincent Lee, Logitech Europe

An Interface for Scientific Knowledge Retrieval, Adaptation and Citation – Nikola I. Nikolov, Amine M'Charrak, Onur Gökce, Jonathan Prada, Richard H. R. Hahnloser, ETH Zurich

Effects of Lombard Reflex on Deep-Learning-Based Audio-Visual Speech Enhancement Systems – Daniel Michelsanti, Aalborg University

Document-Level Neural Machine Translation with Hierarchical Attention Networks – Lesly Miculicich, Idiap

Asynchronous Training of Word Embeddings for Large Text Corpora – Jan-Hendrik Zab, L3S

AI & Networks

Three Degrees of Chess Domination – Eric Malmi, Google

varrank: an R package for variable ranking based on mutual information with applications to observed systems epidemiology – Gilles Kratzer, Zurich University

A Simple Algorithm for Scallable Monte Carlo Inference – Maksym Byshkin, Università della Svizzera italiana

AI & Society

Towards responsible AI – Eva Thelisson

AI & Transportation

Vision Based Baggage Property Extraction – Aljoscha Steffens, Filament Consultancy Group

AI & Trust

Asynchronous Byzantine Machine Learning (the case of SGD) – Georgios Damaskinos, EPFL

Gait recognition via deep learning of the center-of-pressure trajectory: A proof-of-concept study for biometric applications – Philippe Terrier, Hôpitaux Universitaires de Genève

General

A Day In The Life: A Realistic Dataset for Modeling Human Vision – Jenny Hamer, University of California, San Diego

CancelOut: Feature Selection & Models Interpretability in Deep Learning – Vadim Borisov, University of Tuebingen

Improving Information Extraction from Images with Learned Semantic Models – Stephan Baier, Data Reply

AI Watch – Blagoj Delipetrev, European Commission Joint Research Centere

Open-dict Keyword Spotting from Speech – Niccolo' Sacchi

High-Precision Privacy-Preserving Function Evaluation – Marius Vuille, inpher

The HyperBagGraph DataEdron: An Enriched Browsing Experience of Scientific Publications – Xavier Ouvrard, UniGe / CERN

Joint Localization and Classification of Multiple Sound Sources Using a Multi-task Neural Network – Weipeng He, Idiap Research Institute