Program

Here you can find the program overview of ARES / CD-MAKE 2017.

Your registration includes the entrance to all ARES / CD-MAKE conference, ARES EU Workshop Symposium and workshop sessions as well as social events!

CD-MAKE Program

(The full progam of ARES & CD-MAKE can be found here ):

Wednesday, 30.08.2017

08.00-16.15 Registration Open

09.00-10.30 Keynote CD-MAKE “Bring Mathematics into Biology: past, present and future impact on Heath”
Marta Milo, University of Sheffield, UK

Abstract : Last decade has seen a massive increase of data production in science. Particularly in the biomedical field, data has grown exponentially thanks to the development of technologies like next generation sequencing and high-throughput quantitative assays. The information that this data contains is only partially uncovered to this date, but the impact that it has on human progression and well being is already very clear.
Despite the ability to process large amount of data and to quantify fine details of biological processes, the costs, the time to perform such experiments and mainly the complexity of the systems remain in some cases still very prohibitive. For this reasons the use of mathematics to study complex systems in its entirety, looking at how they interacts, is having a great impact in current biology and healthcare. A variety of statistical, probabilistic and optimization techniques methods, like machine learning techniques, that allows to “learn” from the available data, to detect hidden patterns from large, noisy and complex datasets, is particularly suitable for application in medicine.

In this talk I will present examples of using machine learning techniques for a variety datasets from medical and biological problems and what are the advantages and disadvantages of this approach. I will also give examples when these techniques enabled to discover informative knowledge from a large complex system in the presence of small number of samples. Finally I will discuss how we use Machine Learning today for analysis of single-cell sequencing data and how we can use it for future more complex datasets generated integrating data from different sources.

10.30-11.00 Coffee Break

11.00-12.30 CD-MAKE I – MAKE Topology
On Distance Mapping from non-Euclidean Spaces to Euclidean Space
Yoan Miche, Ian Oliver, Wei Ren, Silke Holtmanns, Kaj-Mikael Björk and Amaury Lendasse
Some Remarks on the Algebraic Properties of Group Invariant Operators in Persistent Homology
Patrizio Frosini and Nicola Quercioli
Decentralized Computation of Homology in Wireless Sensor Networks Using Spanning Trees
Domen Soberl, Primož Škraba and Neža Mramor Kosta
Detecting and Ranking API Usage Pattern in Large Source Code Repository: A LFM based ApproachJitong
Zhao and Yan Liu

13:50-14:30 Keynote CD-MAKE “Cloaking Functions: Differential Privacy with Gaussian Processes”
Neil D. Lawrence, University of Sheffield and Amazon, UK

Abstract : Processing of personally sensitive information should respect an individual’s privacy. One promising framework is Differential Privacy (DP). In this talk I’ll present work led by Michael Smith at the University of Sheffield on the use of cloaking functions to make Gaussian process (GP) predictions differentially private. Gaussian process models are flexible models with particular advantages in handling missing and noisy data. Our hope is that advances in DP for GPs will make it easier to ‘learn without looking’, i.e. gain the advantages of prediction from patient data without impinging on their privacy.

Neil Lawrence is a Professor of Machine Learning and Computational Biology at the University of Sheffield. He holds a PhD in Computer science from Cambridge University and had a postdoctoral stay with Microsoft Research Cambridge. He has served as the Chair of the NIPS Conference, the premier Machine Learning conference in the world, and was the founding editor of the Journal of Machine Learning (JMLR) Research Workshop and Conference Proceedings. He is a fellow of the Royal Society in the working group for machine learning.

14.30-14.35 Room Switch

14.35-15.35/16.00 CD-MAKE II – MAKE Smart Factory
Towards a Framework for Assistance Systems to Support Work Processes in Smart Factories
Michael Fellmann, Sebastian Robert, Sebastian Büttner, Henrik Mucha and Carsten Röcke r
Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction
Sebastian Büttner, Paul Wunderlich, Oliver Niggemann and Carsten Röcker
Online Self-disclosure: From Users’ Regrets to Instructional Awareness
Nicolás Emilio Díaz Ferreyra, Rene Meis and Maritta Heisel
Predicting Chronic Heart Failure using Diagnoses Graphs
Saurabh Nagrecha, Keith Feldman, Pamela Bilo Thomas and Nitesh V. Chawla

15.35/16.00-16.15 Coffee Break

16.15-19.30 Excursion Scilla and Chianalea
19.30-23.00 Conference Dinner

Thursday, 31.08.2017

08.00-18.00 Registration open

09.30-10.30 Keynote ARES 2017

10.30-11.00 Coffee Break

11.00-13.00 CD-MAKE III – MAKE Privacy
Decision Tree Rule Induction for Detecting Covert Timing Channels in TCP/IP Traffic
Felix Iglesias, Valentin Bernhardt, Robert Annessi and Tanja Zseby
Practical Estimation of Mutual Information on Non-Euclidean Spaces
Yoan Miche, Ian Oliver, Silke Holtmanns, Wei Ren, Anton Akusok and Amaury Lendasse
IntelliAV: Toward the Feasibility of Building Intelligent Anti-Malware on Android Devices
Mansour Ahmadi, Angelo Sotgiu and Giorgio Giacinto
DO NOT DISTURB ? Classifier Behavior on Perturbed Datasets
Bernd Malle, Peter Kieseberg and Andreas Holzinger
A Short-term Forecast Approach of Public Buildings’ Power Demands upon Multi–source Data
Shubing Shan and Buyang Cao

13.00-14.30 Lunch

14.30-16.00 CD-MAKE IV – MAKE VIS
On the Challenges and Opportunities in Visualization for Machine Learning & Knowledge Extraction: A Mini-Research Agenda
Cagatay Turkay, Robert Laramee and Andreas Holzinger
Quantitative Externalization of Visual Data Analysis Results using Local Regression Models
Kresimir Matkovic, Hrvoje Abraham, Mario Jelovic and Helwig Hauser
Analysis of Online User Behaviour for Art and Culture Events
Tahereh Arabghalizi, Marco Brambilla and Behnam Rahdari
On Joint Representational Learning of Network Structure and Document Content
Jörg Schlötterer, Christin Seifert and Michael Granitzer

16.00-16.30 Coffee Break

16.30-18.00 CD-MAKE V – MAKE AAL
Ambient Assisted Living Technologies from the Perspectives of oOder People and Professionals
Deepika Singh, Sten Hanke, Johannes Kropf and Andreas Holzinger
Human Activity Recognition using Recurrent Neural Networks
Deepika Singh, Erinc Merdivan, Ismini Psychoula, Sten Hanke, Johannes Kropf, Matthieu Geist and Andreas Holzinger
Modeling Golf Player Skill using Machine Learning
Rikard König, Ulf Johansson, Maria Riveiro and Peter Brattberg

Friday, 01.09.2017

08.00-12.30 Registration

09.00-10.30 CD-MAKE VI – MAKE Semantics
Text Classification Through Automatic Translation: Preliminary Results
Roberto Boselli, Mirko Cesarini, Fabio Mercorio and Mario Mezzanzanica
A Declaritive Semantics for P2P Systems
Luciano Caroprese and Ester Zumpano
Improving Language-Dependent Named Entity Detection
Gerald Petz, Werner Wetzlinger and Dietmar Nedbal
Towards the Nutritional Incompatibility Detection based on Recipe Titles
Nadia Clairet and Mathieu Lafourcade
The more the merrier – Federated learning from Local Sphere Recommendations
Bernd Malle, Nicola Giuliani, Andreas Holzinger and Peter Kieseberg