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Seewald Solutions

 Contact data
StreetLärchenstraße 1 
ZIP, City, Region 4616 - Weißkirchen a.d. Traun (Upper Austria) 
Phone+43-664-1106886 
Fax+43-1-2533033-2764 
EmailSend Email
Webseewald.or.at 
 Contact person

Dr. techn. Alexander K. Seewald (Founder & CEO)
 Employees (Total)
Total: 1-10  number of researches: 1
 Competencies

 Central aim of organisation
We begin where others give up.

 Briefly describe your organisation
We conduct independent basic and applied research in the area of machine learning. We focus on tasks which are not, or not efficiently, solvable with classical programming, and solve them using appropriate training data and machine learning algorithms combined with Artificial Intelligence programming techniques. We have investigated handwritten digit recognition, spam filter training and evaluation, relevance ranking of biological research papers, real-time removal of flicker from high-framerate video, recognizing spambot type from single packets, human tissue image analysis, augmented reality face tracking and overlays, eye tracking and building mailing response models for an international bank, among other projects.

 Core Competency

Research & Development

 ICT sectors:
   - E-Commerce     
   - E-Learning     
   - ICT Applications for Tourism     
   - ICT Applications for Health      
   - Geographical Information Systems (GIS)     
   - IT Security and Encryption     
   - Standardisation     
   - Industrial Application     
   - Visualisation     
   - Virtual and Augmented Reality      
   - Video Processing     
   - Pattern Processing     
   - Computer Games, Simulation of Social Process     
   - Application Service Provision (ASP)      
   - Databases, Database Management     
   - Knowledge Management     
   - Archiving, Documentation     
   - Information and Multimedia Retrieval     
   - Electronic Data Interchange (EDI), Middleware     
   - Service Orientated Architecture (SOA)     
   - Software Engineering and Testing     
   - Usability Engineering     
   - Semantic Systems     
   - Internet Technologies     
   - Network and Broadband Technologies     
   - Network Security     
   - Pervasive Computing     
   - Automation     
   - Robotics     
   - Man-Machine Interaction     
   - Artificial Intelligence     
   - Sensor Technology     
   - Data Mining     
   - Integrated Circuits     
   - Electronic circuits, components and equipment     
   - Embedded Systems and Real-time Systems     
   - Reliability     
   - RFID     
   - Wireless & Mobile Communication     

 ICT keywords
machine learning, video mining, text mining, intelligent image analysis, biosignal data processing
 RTD Experiences & Publications

 My organisation has been involved in projects funded by the following EU-programmes
  Coordinator  Partner 
EU Framework Programme (FP)
Other international co-operative research

 Austrian Research and Development Projects
  Coordinator  Partner 
Non-cooperative Projects (Single projects)        
Cooperative Projects
Education Projects (Thesis, ..)
Stimulation and Support Projects

 RTD Experience
We have been involved in several locally (FWF, FFG, FIT-IT, ..) and EU funded research projects, diploma theses, PhD-theses and Austrian Praktika supervision, and maintain our own research agenda as well as ongoing cooperations with other universities and companies in and outside Austria. We also offer applied research and development services for companies.

 Publications
Journal papers

Heindl A, Seewald AK, Thalhammer T, Bises G, Schepelmann M, Uhrova H, Dekan S, Mesteri I, Rogojanu R, Ellinger I (2013): Automated REcognition of tissue-associated erythrocytes (ARETE)—a new tool in tissue cytometry. Cytometry A. Volume 83A, Issue 4, pages 363–374, April 2013.

Seewald AK, Cypser J, Mendenhall A, Johnson T (2010) Quantifying Phenotypic Variation in Isogenic Caenorhabditis elegans Expressing Phsp-16.2::gfp by Clustering 2D Expression Patterns, PLoS ONE 5(7): e11426. doi:10.1371/journal.pone.0011426.

Heindl A, Helmer H, Dekan S, Rogojanu R, Ecker R, Thalhammer T, Bises G, Uhrova H, Seewald A, Ellinger I (2010) Automated detection and analysis of fluorescent biomarkers in huma placental chorionic tissue. Pediatric Research, August 2010, 68 (2), p. 174-179.

Seewald A.K.: Automatic Extraction of Go Game Positions from Still Images: A Multi-Strategical Approach to Constrained Multi-Object Recognition. Applied Artificial Intelligence 24(3), 2010.

Seewald A.K., Gansterer W.N.: On the Detection and Identification of Botnets. Computers & Security, Volume 29, Issue 1, February 2010, Pages 45-58.

Heindl A., Ecker R., Steiner G., Bises G., Thalhammer T., Rogojanu R., Uhrova H., Helmer H., Ellinger E., Seewald A.: Automated cell-detection technologies for science and diagnostics. Placenta 30 (9) 2009: P06.14.

Seewald A.K., Kleedorfer F.: An Approximation of the String Subsequence Kernel for Practical SVM Classification and Redundancy Clustering, Journal for Advances in Data Analysis and Classification, Vol. 1, Number 3 / December 2007, pp. 221-239, DOI: 10.1007/s11634-007-0012-1.

Seewald A.K.: An Evaluation of Naive Bayes Variants in Content-Based Learning for Spam Filtering, Intelligent Data Analysis 11(5), pp. 497-524, 2007.

Seewald A.K., Holzbaur C., Widmer G.: Evaluation of Term Utility Functions for Very Short Multi-Document Summaries. Applied Artificial Intelligence 20(1), January 2006, pp.57-78.

Pillet V., Zehnder M., Seewald A.K., Veuthey A-L, and Petrak J. GPSDB: a new database for synonyms expansion of gene and protein names. Bioinformatics 2005 21: 1743-1744.

Conference papers

R. Rogojanu, T. Thalhammer, U. Thiem, et al., “Quantitative Image Analysis of Epithelial and Stromal Area in Histological Sections of Colorectal Cancer: An Emerging Diagnostic Tool,” BioMed Research International, vol. 2015, Article ID 569071, 9 pages, 2015. doi:10.1155/2015/569071

Schepelmann M, Heindl A, Seewald A, Burger K, Rogojanu R, Ecker R, Bises G, Pietschmann P, Ellinger I, Thalhammer T: A novel method for automated quantification of osteoclasts in culture - Advantages, workflow and application. Journal für Mineralstoffwechsel (17) 2010, Sonderheft 2, p.7. Talk held at the annual autumn meeting of the Austrian Society for Bone and Mineral Research, Vienna, Austria. ISSN: 1023-7763, 2010.

Heindl A, Schepelmann M, Seewald A, Burger K, Rogojanu R, Ecker R, Bises G, Pietschmann P, Ellinger I, Thalhammer T: Towards an automated evaluation system of osteoclasts in cultures using a combined image-processing and machine-learning strategy. Journal für Mineralstoffwechsel (17) 2010, Sonderheft 2, p.7. Talk held at the annual autumn meeting of the Austrian Society for Bone and Mineral Research, Vienna, Austria. ISSN: 1023-7763, 2010.

Heindl A, Dekan S, Ellinger I, Seewald A: Towards a Versatile Automated Cell-Detection System for Science and Diagnostics. Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, p. 3045-3048, IEEE Catalog Number: CFP10EMB-DVD, ISBN: 978-1-4244-4124-2, ISSN: 1557-170X, 2010.

Rogojanu R., Mesteri I., Ellinger I., Thalhammer T., Kallay E., Heindl A., Seewald A., Bises G.: Characterization and Quantification of Macrophages in Colorectal Cancer by an Automated Cell Detection System. Poster presentation at the 6th PhD Symposium of the Young Scientist Assocation of the Medical University of Vienna, June 2010, Vienna, Austria. Also available as EJC Supplements, June 2010, Vol.8, Issue 5, Page 107.

Heindl A., Pohl V., Rogojanu R., Ecker R., Thalhammer T., Bises G., Seewald A., Ellinger I.: Towards a Versatile Automated Cell-Detection System for Science and Diagnostics exemplified through receptor for advanced glycated end-products (RAGE) quantification in placental chorionic villi. Poster presentation at the 6th PhD Symposium of the Young Scientist Association of the Medical University of Vienna, June 2010, Vienna, Austria.

Heindl A., Ecker R., Steiner G., Bises G., Ellinger I., Thalhammer T., Fuchs R., Uhrova H., Seewald A.: Automated cell-detection technologies for science and diagnostics. Poster presentation at the 5th PhD Symposium of the Young Scientist Association of the Medical University of Vienna, June 2009, Vienna, Austria.

Seewald A.K.: Towards Automating Malware Classification and Characterization. In Konferenzband der 4. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft für Informatik (german-language proceedings), Saarbrücken, April 2008, pp. 291-302.

Technical reports (non-refereed publications)

Seewald A.K.: On the Brittleness of Handwritten Digit Recognition Models. Technical Report, Seewald Solutions, Wien, 2009.

Seewald A.K.: Improving the Effectiveness of Mailings by Building a Response Model for Inactive Customers. Technical Report, Seewald Solutions, Wien, 2007.

Seewald A.K.: Digits - A Dataset for Handwritten Digit Recognition. Technical Report, Österreichisches Forschungsinstitut für Artificial Intelligence, Wien, TR-2005-27, 2005.

Seewald A.K.: A Close Look at Current Approaches in Spam Filtering. Technical Report, Österreichisches Forschungsinstitut für Artificial Intelligence, Wien, TR-2005-04, 2005.

Seewald A.K.: Combining Bayesian and Rule Score Learning: Automated Tuning for SpamAssassin. Technical Report, Österreichisches Forschungsinstitut für Artificial Intelligence, Wien, TR-2004-11, 2004.

Patents

Meta structures in tissue - Austrian Patent AT 510329 (A1) 2012/05/15
Together with TissueGnostics GmbH and the Medical University of Vienna, we hold Patent AT 510329 (A1) as one of three inventors (our share: 47.5%). The patent was originally applied for in August 2010.

 Inserted / Updated
2007-06-13 / 2016-05-09