Merry Christmas and a Happy 2015 from the Holzinger Group

Merry Christmas and a Happy 2015 from the Holzinger Group

Merry Christmas and a Happy 2015 from the Holzinger Group

Open Postdoc Position in interactive Machine Learning with complex biomedical data

A postdoc position in “knowledge discovery and interactive machine learning with complex biomedical data sets” is available immediately at the Holzinger Group ( in Graz, Austria. The postdoc will be financed for four years, with an option to continue for another four years by the newly formed CBmed – Center for Biomarker Discovery and supported by the PhD school “Biomarker discovery”, which is starting with October, 1, 2015.

The challenge: Worldwide there is raising interest in biomarker discovery as an important step towards P4-medicine. The data results from various sources in different structural dimensions, and a systematic and comprehensive exploration of all these data provides a mechanism for data driven hypotheses generation. A grand challenge is to make sense of this complex data sets by applying machine learning algorithms based on the “human-in-the-loop” concept, which is of emerging interest for the international research community.

The applicant should:
1) hold a PhD in machine learning, data mining, knowledge discovery or related area of modern data science;
2) have a strong research record, documented by publications at first-tier related conferences and journals;
3) having interest in advanced methodological approaches and enjoy working in a young research group following the motto
“Science is to test crazy ideas, engineering is to bring these ideas into Business”

The successful candidate shall take an active role in the further development of our research group. Communication skills and fluency in English are required.
Conditions of employment: This post-doctoral position is provided for four years with an option for another four years. The starting date is flexible; there is no fixed deadline, so applications will be considered until the position is filled with the optimal candidate.

Application procedure: Formal applications should include:
1) A scientific curriculum vitae, including a full list of publications;
2) A statement of research interests with an outlook for the coming 4 (8) years;
3) Contact details of three reference persons.

Apply by sending your application as one single PDF document, indicating Postdoc HCI-KDD in the header directly to
Prof.Dr. Andreas HOLZINGER via e-Mail:

About the group: The Holzinger Group works consistently on a synergistic combination of methodologies and approaches of two areas that offer ideal conditions towards unraveling these problems: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with machine learning – human-in-the-loop – to discover novel, previously unknown insights into the data.
For more details please refer to:

Note: The language both of the Holzinger group and the language of the PhD school is English.

Keywords: interactive machine learning, knowledge discovery, data mining, human-in-the-loop, biomedical informatics

Nature repository for openly accessible scientific data from all disciplines

Nature Scientific Data is a recently launched open-access, online-only journal for openly accessible scientific data from all disciplines. The articles are called Data Descriptors, and combine traditional narrative content with curated descriptions of research data to support reproducibility, as this may accelerate scientific discovery, see:

Goudiaby, V., Zuidema, P. A. & Mohren, G. M. J. 2014. Data storage: Overcome hurdles to global databases. Nature, 511, (7510), 410-410.

Editorial to Nature Volume 515, Issue 7527 > Data-access practices strengthened

CfP BIH & AMT, London, 30.8.-2.9.2015 > LNAI Call due to April, 5, 2015

The 2015 International Conference on Brain Informatics and Health (BIH’15)

Informatics for Brain Science, Human Behavior and Brain Health

August 30 – September 2, 2015, London, UK



*** KEYNOTE SPEAKERS (Confirmed) ***

Allan Jones (Allen Institute for Brain Science, USA)
Henry Markram (EPFL, Switzerland)
David Van Essen (Washington University School of Medicine, USA)


Brain research is rapidly advancing with the application of big data technology to neuroscience as can be seen in major international initiatives in the US, Europe and Asia. BIH’15 reflects that brain informatics has emerged as a distinct field and crosses the disciplines of neuroscience, cognitive science, computer science, signal processing, and neuroimaging technologies as well as data science. Following the success of past conferences in this series, BIH’15 will take place at Imperial College London, in UK, gathers the researchers from major international brain research projects, and plans an industrial exhibition.

BIH’15 draws special attention to informatics for brain science, human behavior and brain health. BIH’15 will address big data approaches to both the brain and behaviour, with a strong emphasis on emerging trends of big data analysis and management technology for BI, active media technology in behavior learning, and real-world applications for brain and mental health.

BIH’15 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI.

Tutorial, Satellite symposium and Special-Session proposals and Industry/Demo-Track papers are also welcome.


Satellite symposium proposal submission: March 10, 2015
Notification of satellite symposium acceptance: March 30, 2015
Submission of full papers: April 5, 2015
Submission of abstracts: May 20, 2015
Submission of satellite symposium papers: May 20, 2015
Notification of full paper acceptance: May 25, 2015
Notification of abstract acceptance: June 10, 2015
Notification of satellite symposium paper acceptance: June 10, 2015
Tutorial proposal submission: May 15, 2015
Satellite symposiums: August 30, 2015
Main conference: August 31-September 2, 2015


TYPE-I (Full Paper Submissions; Submission Deadline: April 5, 2015):

Papers need to have up to 10 pages in LNCS format:
All full length papers accepted (and all special sessions’ full
length papers) will be published by Springer as a volume of
the series of LNCS/LNAI.

TYPE-II (Abstract Submissions; Submission Deadline: May 20, 2015):

Abstracts have a word limit of 500 words. Experimental research is
particularly welcome. Accepted abstract submissions will be included
in the conference program, and will be published as a single,
collective proceedings volume.

Title: Include in the title of the abstract all words critical for a
subject index. Write your title in sentence case (first letter is
capitalized; remaining letters are lower case). Do not bold or
italicize your full title.

Author: List all authors who contributed to the work discussed in the
abstract. The presenting author must be listed in the first author
slot of the list. Be prepared to submit contact information as well as
conflict of interest information for each author listed.

Abstract: Enter the body of the abstract and attach any applicable
graphic files or tables here. Do not re-enter the title, author,
support, or other information that is collected in other steps of the
submission form.

Presentation Preference: Authors may select from three presentation
formats when submitting an abstract: “poster only,”, “talk
preferred” or “no preference.” The “talk preferred” selection
indicates that you would like to give a talk, but will accept a poster
format if necessary. Marking “poster only” indicates that you would
not like to be considered for an oral-presentation session. Selecting
“no preference” indicates the author’s willingness to be placed in the
best format for the program.

Each paper or abstract requires one sponsoring attendee (i.e. someone
who registered and is attending the conference). A single attendee can
not sponsor more than two abstracts or papers.

Oral presentations will be selected from both full length papers and

*** Post-Conference Journal Publication ***

The BIH conferences have the formal ties with Brain Informatics
journal (Springer, Accepted papers
from the conference, including their Best Paper Award papers, will be
expended and revised for possible inclusion in the Brain Informatics
journal each year. It is fully sponsored and no any
article-processing fee charged for BIH authors.

Selected submissions will be considered for publication in special
issues of international journals after their papers are extended to a
full-length paper and pass a review process. More information can be
found at

*** Topics and Areas ***

Please find the topics and areas of interest of the 2015 International
Conference on Brain Informatics and Health (BIH’15)

*** AMT’15 Session ***

The advance of wearable sensor technology makes the monitoring of
human behavior and life style becomes feasible. This development gives
the active media technology a new dimension which is more closely
related to the healthcare and cognitive studies. Following the success
of past conferences in this series, AMT’15 will be jointly held with
BIH’15 as a special session.


General Chairs:
Karl Friston, University College London, UK
Yike Guo, Imperial College London, UK

Program Chairs:
Aldo Faisal, Imperial College London, UK
Sean Hill, EPFL, Switzerland
Hanchuan Peng, Allen Institute for Brain Science, US

Workshop/Special-Session Chairs:
Andreas Holzinger, Medical University Graz, Austria
Zhisheng Huang, Vrije University of Amsterdam, Netherlands
David Powers, Flinders University of South Australia, Australia

Publicity Chairs:
Jessica Turner, Georgia State University, US
Juan D. Velasquez, University of Chile, Chile
Yi Zeng, Institute of Automation, CAS, China

Local Organizing Chairs:
Thomas Henis, Imperial College London, UK
Kai Sun, Imperial College London, UK
Chao Wu, Imperial College London, UK

Exhibition/Sponsorship Chair:
Caroline Li, University Kent, UK

Steering Committee Co-Chairs:
Ning Zhong, Maebashi Institute of Technology, Japan
Jiming Liu, Hong Kong Baptist University, Hong Kong

*** Contact Information ***

Chao Wu, Imperial College London, UK

Aldo Faisal, Imperial College London, UK

Banff Meeting approved

We just received the message from the Scientific Director of the BIRS – Banff International Research Station for Mathematical Discovery, that our 7th International Meeting of the expert group HCI-KDD “Advances in interactive Knowledge Discovery and Data Mining in complex and big data sets” (BIRS Approval Nr. 15w2181) has been approved by the scientific committee for the dates July 24 – July 26, 2015. So, the Holzinger Group has now the possibility of being at the holy grail of computational mathematics 🙂

NB.: The area around Banff is the world’s most dense area of paleontological findings.
Banff is 78 miles west of Calgary at a hight of approx. 5000 ft. with subarctic climate,
temperatures during our meeting end of July are the highest of the year, in average 21 degrees Celsius.
Morning temperatures can go as low as 7 degrees Celsius – so pullovers are recommended 🙂
Those who are afraid of bears should not attend this meeting, as the Research Center is directly located within deep forest and in the morning Grizzly bears are usually foraging the trash bins.

The papers will be collected in a Springer Volume Lecture Notes in Artificial Intelligence (LNAI),
which is a more mathematical oriented topical subseries of the Lecture Notes in Computer Science (LNCS): is now

Our website appears in a new light!

We welcome our visitors to our new website. In order to keep pace with time, our website is now responsive with a fresh design.


Our digital world, full of mobile computing devices and ubiquitous sensor networks produce increasingly large, complex, high-dimensional and weakly structured data sets, and increasing volumes of unstructured information. These enormous amounts of data require novel, efficient and interactive solutions for knowledge discovery/data mining.  A synergistic combination of methodologies and approaches of two areas offer ideal conditions towards unraveling such problems: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with machine learning, putting the “human-in-the-loop “. Our goal is to interactively discover new, previously unknown insights into the data and we are passionate on extending advanced methods including time (e.g. information entropy) and space (e.g. computational topology), along with user-centered software engineering methods to create interactive software for mobile applications & content analytics techniques.

Science is to test crazy ideas – Engineering is to put these ideas into Business!