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Andreas Holzinger

    18 avril 1963
    Successful Management of Research & Development
    HCI and usability for education and work
    Human-computer interaction and knowledge discovery in complex, unstructured, big data
    Biomedical Informatics
    HCI and usability for medicine and health care
    Process Guide for Students for Interdisciplinary Work in Computer Science/Informatics
    • This book constitutes the refereed proceedings of the Third Usability Symposium of the Human-Computer Interaction and Usability Engineering Workgroup of the Austrian Computer Society, USAB 2007, held in Graz, Austria, in November 2007. The 21 revised full papers and 18 revised short papers presented together with one poster paper and one tutorial were carefully reviewed and selected from 97 submissions during two rounds of reviewing and improvement.

      HCI and usability for medicine and health care
    • Biomedical Informatics

      Discovering Knowledge in Big Data

      • 570pages
      • 20 heures de lecture
      4,0(2)Évaluer

      This book provides a broad overview of the topic Bioinformatics with focus on data, information and knowledge. From data acquisition and storage to visualization, ranging through privacy, regulatory and other practical and theoretical topics, the author touches several fundamental aspects of the innovative interface between Medical and Technology domains that is Biomedical Informatics. Each chapter starts by providing a useful inventory of definitions and commonly used acronyms for each topic and throughout the text, the reader finds several real-world examples, methodologies and ideas that complement the technical and theoretical background. This new edition includes new sections at the end of each chapter, called "future outlook and research avenues," providing pointers to future challenges. At the beginning of each chapter a new section called "key problems", has been added, where the author discusses possible traps and unsolvable or major problems.

      Biomedical Informatics
    • This book constitutes the refereed proceedings of the Third Workshop on Human-Computer Interaction and Knowledge Discovery, HCI-KDD 2013, held in Maribor, Slovenia, in July 2013, at SouthCHI 2013. The 20 revised papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on human-computer interaction and knowledge discovery, knowledge discovery and smart homes, smart learning environments, and visualization data analytics.

      Human-computer interaction and knowledge discovery in complex, unstructured, big data
    • HCI and usability for education and work

      • 488pages
      • 18 heures de lecture
      3,0(1)Évaluer

      The Workgroup Human–Computer Interaction & Usability Engineering (HCI&UE) of the Austrian Computer Society (OCG) serves as a platform for interdisciplinary research and development. While HCI traditionally connects psychologists and computer scientists, usability engineering (UE) focuses on the effective implementation of applications within software engineering. In 2008, the theme was Human–Computer Interaction for Education and Work (HCI4EDU), culminating in the 4th annual Usability Symposium USAB 2008 in Graz, Austria. Similar to the previous year's focus on HCI in Medicine and Health Care (HCI4MED), technological advancements in education and work are rapidly increasing. Learners, teachers, and knowledge workers are constantly exposed to new, cost-effective technologies. However, the knowledge gained in educational institutions may not be sufficient for a lifetime. Learning and working are parallel processes, making lifelong learning (LLL) essential in today’s society. The surge in educational technologies is significant, but it is crucial to remember that learning is fundamentally a cognitive and social process that cannot be wholly replaced by technology.

      HCI and usability for education and work
    • Successful research and development hinges on a clear vision, mission, and strategy, emphasizing the importance of team dynamics and effective leadership. The book highlights the challenges of building and managing a skilled team, stressing that even the best teams require adequate funding to thrive. As public budgets shrink, securing external funding becomes crucial for maintaining competitiveness and quality. Ultimately, a team's success is measured by their output, underscoring the need for actionable knowledge in the pursuit of excellence in research.

      Successful Management of Research & Development
    • Artificial Intelligence and Machine Learning for Digital Pathology

      State-of-the-Art and Future Challenges

      • 353pages
      • 13 heures de lecture

      Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ‘‘fit-for-purpose’’ samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.

      Artificial Intelligence and Machine Learning for Digital Pathology
    • Software Technologies

      9th International Joint Conference, ICSOFT 2014, Vienna, Austria, August 29-31, 2014, Revised Selected Papers

      • 385pages
      • 14 heures de lecture

      This book constitutes the thoroughly refereed proceedings of the 9th International Joint Conference on Software Technologies, ICSOFT 2014, held in Vienna, Austria, in August 2014. The 15 revised full papers and 6 short papers presented were carefully reviewed and selected from 145 submissions. The papers focus on enterprise software technologies; software engineering and systems security; distributed systems; and software project management.

      Software Technologies
    • Machine Learning for Health Informatics

      State-of-the-Art and Future Challenges

      • 503pages
      • 18 heures de lecture

      Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.

      Machine Learning for Health Informatics
    • This book constitutes the refereed proceedings of HCI and Usability for e-Inclusion, held as the 5th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2009, in Linz, Austria, in November 2009. The 12 revised full papers and 26 revised short papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on gender and cognitive performance, usefulness, usability, accessibility, emotion, confidence and elderly, usability testing, evaluation, measurement, education, learning and e-inclusion, design for adaptive content processing, grounded theory, activity theory and situated action, smart home, health and ambient assistent living, user centred design and usability practice, interaction, assistive technologies and virtual environments, communication, interfaces and haptic technology as well as new technologies and challenges for people with disabilities.

      HCI and usability for e-inclusion