Our research agenda covers the following areas and is conducted within the confines of projects executed with industry partners:
- Database and Big Data technology
- Data Mining, Statistics and Predictive Modeling
- Machine Learning and Graph Analytics
- Information Retrieval and Natural Language Processing
- Business Intelligence and Visual Analytics
- Data Warehousing and Decision Support
- Communication and Visualization of Results
- Privacy, Security and Ethics
- Entrepreneurship and Data Product Design
This list gets directly filled from ZHAW's project database. Not all projects may show up due to interlinkage aspects.
AC/DC: Accurate Customer Identification on Digital Channels
Every user has a unique digital signature with respect to typing, moving the mouse or accessing a web page. For instance, by analyzing the time between specific keystrokes of many users, we can verify whether user A really is user A or whether she/he has assumed the identity of another user. The goal of this project is to develop an advanced ...
FarmAI – Artificial intelligence for Farming Simulator
Dayzzi - Next Generation: Neural Recommendation System
Recommendation systems are ubiquitous on digital platforms. However, many systems rely either on the availability of large amounts of data that allow for data-driven optimization (collaborative filtering), or they are rather simple and lack the possibility of intelligent recommendations. Especially in the fields of life sciences and facility ...
Libra: A One-Tool Solution for MLD4 Compliance
Compared with earlier regulations, the 4th European Money Laundering Directive (MLD4) imposes rigorously increased requirements. It compels obliged entities to conduct in depth screenings of customers and their associations. The Libra Project aims at providing a one tool solution for meeting MLD4 compliance. The project will in particular offer a ...
DeLLA: Deep-Learning-based speech recognition with limited training material
Speech recognition systems baed on Deep Neural Networks (DNN) currently brake all records and is being applied already in different products. These systems normally are trained with thousands of hours of training material for applications and languages where these amounts of data are available. In this feasibility study a new training approach for ...
DeepScore: Digital Music Stand with Musical Understanding via Active Sheet Technology
_Management Abstract Playing and enjoying music is amongst the most rewarding recreational activities of humankind for individuals as well as in group settings. Visiting concerts or sending one’s kids to music lessons - thus being enabled to discuss and co-shape the musical part of our culture - are hence important aspects of cultural ...
SAVE - Smart Alarms & Verified Events
False alarms are a major cost driver for owners of alarm systems. To remedy this problem, we develop a novel alarm verification service by leveraging the power of an alarm data warehouse. By analyzing live streams of alarms, comparing them with historic alarms and enriching them with information from open data, our system learns how to identify ...
Based on long-standing work and a unique market position, Eaternity successfully distributes a solution for managing CO2 transparency covering the entire value added chain, from food product to full menu. This CTI project enables Eaternity to use the results of its groundwork and turn it into an attractive, scalable and cost-efficient product, ...
The new product of ARGUS DATA INSIGHTS Schweiz AG "Real Time Print Media Monitoring" is an automated pipeline. It identifies relevant articles in print media, extracts them and sends them to the customers in real-time. Core of this project is the automated segmentation of full newspaper pages into articles, this is developed within the project ...
SNF/NRP project: Bio-SODA
One of the major promises of Big Data lies in the simultaneous mining of multiple sources of data. This is particularly important in life sciences, where different and complementary data are scattered across multiple resources. To overcome this issue, the use of RDF/semantic web technology is emerging, but querying these systems often proves to be too complex for most users—thereby hampering wide development and adoption of these technologies.