Teaser

The Third Swedish Symposium on Deep Learning (SSDL) takes place in Norrköping June 10-11 (lunch to lunch). The 2019 SSDL edition is arranged by the Swedish Society for Automated Image Analysis (SSBA). The symposium is co-located with the Scandinavian Conference on Image Analysis (SCIA19) which follows directly after the symposium.

The development and impact of deep learning in areas such as image processing and natural language processing have been huge for the past decades. SSDL is a forum for leading research groups in academia and industry to discuss the latest trends and developments in deep learning. SSDL19 in Norrköping will feature invited talks by leading researchers in deep learning applied to image processing and natural language processing, and oral and poster presentations of submitted abstracts.

SSBA UU LiU

Sponsors:

Program

Keynote speakers

Emily Denton


Jussi Karlgren
  • Jussi Karlgren
  • KTH Royal Institute of Technology, Sweden
  • Gavagai, Stockholm, Sweden

  • Jussi Karlgren is an adjunct professor of language technology at KTH and a founding partner of the text analysis company Gavagai where he spends most of his time. He holds a PhD in computational linguistics, a Ph Lic in Computer and Systems Sciences, both from Stockholm University. He also holds the title of docent (adjoint professor) of language technology at Helsinki University. He has worked with research and development in information access-related language technology at IBM Nordic laboratories (1987-88), at the Swedish Institute of Computer Science (SICS) (1990-2010), at Xerox PARC (1991), at New York University (1995-96), at Yahoo! Research in Barcelona (2007-08), and at the department of linguistics at Stanford University (2017-18).

    His research interests are modelling genre and stylistics, studying the negotiation of meaning in human communication, and on evaluating and validating information systems. He has previously worked on projects on natural language interfaces to databases, speech-based route guidance systems, plan inference, human-computer dialogue in virtual realities, on automatic speech-to-speech translation, on modelling and raising awareness of energy usage in homes and workplaces, and on citizen observatories.


Geert Litjens
  • Geert Litjens
  • Radboud University Medical Center, Nijmegen, The Netherlands


Wiro Niessen
  • Wiro Niessen
  • Erasmus MC, Rotterdam, The Netherlands

  • Wiro Niessen is full professor in Biomedical Image Analysis at Erasmus MC, Rotterdam where he leads the Biomedical Imaging Group Rotterdam and at Delft University of Technology.

    His interest is in the development, validation and implementation of machine learning and quantitative image analysis methods in clinical practice and biomedical research, in linking imaging and genetics data, radio(geno)mics, and image guided interventions. Focus areas are improved diagnosis and prognosis of neurodegenerative and cardiovascular disease, and treatment guidance in oncology, by developing and using advanced medical image analysis and machine learning methods. He has published over 300 journal articles in these areas, and has a H-index of 75 (Google Scholar).

    He is fellow and president of the Medical Image Computing and Computer Assisted Interventions Society (MICCAI), director of the Biomedical Image Analysis Platform of the European Institute of Biomedical Imaging Research (EIBIR), member of the International Society of Strategic Studies in Radiology (IS3R), board member of the Technological Branch of the Netherlands Organization of Scientific Research (NWO-TTW) and Chief Digital Officer of Health RI, a national research infrastructure for prevention, personalized treatment, and health.

    In 2012 he founded the spin-off company Quantib, which is an AI company in medical imaging that develops methods to automatically extract relevant information from medical imaging data. He is currently the Scientific Lead at Quantib. In 2015 he received the Simon Stevin Master award, the largest prize in the Netherlands in the field of Applied Sciences. In 2017 he was elected to the Royal Netherlands Academy of Arts and Sciences. <\p>


Josephine Sullivan


Zhi-Hua Zhou
  • Zhi-Hua Zhou
  • Nanjing University, China

  • Zhi-Hua Zhou is a Professor, Head of the Department of Computer Science and Technology, and Founding Director of the LAMDA Group, Nanjing University. He is also the Dean of the recently established School of AI.  His main research interests are in artificial intelligence, machine learning and data mining. He authored the books "Ensemble Methods: Foundations and Algorithms" and "Machine Learning (in Chinese)", and published more than 200 papers in top-tier international journals/conferences. According to Google Scholar, his publications have received more than 35,000 citations, with an H-index of 90. He also holds 22 patents and has good experiences in industrial applications. He has received various awards, including the National Natural Science Award of China, PAKDD Distinguished Contribution Award, Microsoft Professorship Award, etc. He serves as the Executive Editor-in-Chief of Frontiers of Computer Science, Associate Editor-in-Chief of Science China Information Science, and Associate Editor of Machine Learning, IEEE Trans Pattern Analysis and Machine Intelligence, ACM Trans Knowledge Discovery from Data, etc. He founded ACML (Asian Conference on Machine Learning) and served as General co-chair of IEEE ICDM 2016, Program co-chair of AAAI 2019 and IJCAI 2015 Machine Learning track, etc. He will serve as Program chair of IJCAI 2021. He is a foreign member of the Academy of Europe, and Fellow of the ACM, AAAI, AAAS, IEEE, IAPR.

Submission

SSDL invites extended abstracts of 2-4 pages presenting ongoing or past research in deep learning to be considered for presentation at SSDL19. The abstracts will be made available on the public symposium webpage.


Submission information and guidelines will be made available here closer to the paper submission opening.


Registration

Registration for SSDL'19 is done through the SCIA'19 registration. Registration for only SSDL'19, only SCIA'19, or both SSDL'19 and SCIA'19 is possible. See the SCIA'19 webpage.

Venue

See the SCIA'19 webpage for information about the venue.

Important dates


Abstract submission deadline March 27, 2019
Notification of acceptance April 2, 2019
Early-bird registration deadline April 3, 2019
Symposium June 10-11, 2019

Sponsoring

The sponsorship packages cover both SCIA and SSDL. Our sponsorship packages for SCIA and SSDL offer a unique opportunity to:

  1. Network with the leading research groups in the Nordic countries
  2. Gain visibility before, during, and after the conference
  3. Meet and recruit undergraduate students, graduated or soon to graduate PhD students


Choose one of our sponsorship options:

A. Silver sponsorship, SEK 15,000

  1. Your logo on the conference website
  2. Acknowledgement of your support during the conference

B. Gold sponsorship, SEK 30,000

  1. All Silver sponsorship & Exhibitor benefits
  2. Distribution of short materials (brochure, bag items) that you provide in advance

C. Exhibitor, SEK 15,000

  1. Demonstration & exhibition space for demonstrations and promotional material
  2. One free ticket to the conference included
  3. We kindly ask that all exhibitors appear with a booth in the exhibition area and notify the conference organizers which days you plan to attend

For more information and booking, please contact Daniel Jönsson.

Organization

Organizers