Pu­bli­ka­tio­nen

[ 2021 ] [ 2019 ] [ 2018 ] [ 2017 ] [ 2016 ] [ 2015 ] [ 2014 ]

2021 [ nach oben ]

  • 1.
    Herde, M., Huseljic, D., Sick, B., Calma, A.: A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. IEEE Access. 9, 166970–166989 (2021).
     

2019 [ nach oben ]

  • 1.
    Calma, A., Dellermann, D.: Decision Support with Hybrid Intelligence. In: Tomforde, S. en Sick, B. (reds.) Organic Computing -- Doctoral Dissertation Colloquium 2018. bll. 143–153. kassel university press, Kassel, Germany (2019).
     
  • 2.
    Sandrock, C., Herde, M., Calma, A., Kottke, D., Sick, B.: Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. International Joint Conference on Neural Networks (IJCNN). bll. 1–8. IEEE (2019).
     

2018 [ nach oben ]

  • 1.
    Kottke, D., Calma, A., Huseljic, D., Sandrock, C., Kachergis, G., Sick, B.: The Other Human in The Loop -- A Pilot Study to Find Selection Strategies for Active Learning. International Joint Conference on Neural Networks (IJCNN). IEEE, Rio de Janiero, Brazil (2018).
     
  • 2.
    Calma, A., Reitmaier, T., Sick, B.: Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data. Information Sciences. 456, 13–33 (2018).
     
  • 3.
    Calma, A., Oeste-Reiß, S., Sick, B., Leimeister, J.M.: Leveraging the Potentials of Dedicated Collaborative Interactive Learning: Conceptual Foundations to Overcome Uncertainty by Human-Machine Collaboration. Hawaii International Conference on System Sciences (HICSS) (2018).
     
  • 4.
    Scharei, K., Herde, M., Bieshaar, M., Calma, A., Kottke, D., Sick, B.: Automated Active Learning with a Robot. Archives of Data Science, Series A (Online First). 5, 16 (2018).
     
  • 5.
    Herde, M., Kottke, D., Calma, A., Bieshaar, M., Deist, S., Sick, B.: Active Sorting -- An Efficient Training of a Sorting Robot with Active Learning Techniques. International Joint Conference on Neural Networks (IJCNN). IEEE, Rio de Janiero, Brazil (2018).
     
  • 6.
    Calma, A., Stolz, M., Kottke, D., Tomforde, S., Sick, B.: Active Learning with Realistic Data -- A Case Study. International Joint Conference on Neural Networks (IJCNN). IEEE, Rio de Janiero, Brazil (2018).
     
  • 7.
    Calma, A., Kuhn, J., Leimeister, J.M., Lukowicz, P., Oeste-Reiss, S., Schmidt, A., Sick, B., Stumme, G., Tomforde, S., Zweig, A.K.: A Concept for Productivity Tracking based on Collaborative Interactive Learning Techniques. Workshop on Self-Optimisation in Autonomic and Organic Computing Systems (SAOS), ARCS. bll. 150–159. VDE, London, UK (2018).
     

2017 [ nach oben ]

  • 1.
    Calma, A., Sick, B.: Simulation of Annotators for Active Learning: Uncertain Oracles. Workshop on Interactive Adaptive Learning (IAL), ECML PKDD. bll. 49–58 (2017).
     
  • 2.
    Beyer, C., Bieshaar, M., Calma, A., Heck, H., Kottke, D., Würtz, R.: Learning Without Ground Truth. In: Tomforde, S. en Sick, B. (reds.) Organic Computing -- Doctoral Dissertation Colloquium 2017. kassel university press, Bochum, Germany (2017).
     
  • 3.
    Calma, A., Kottke, D., Sick, B., Tomforde, S.: Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms. Workshop on Self-Improving System Integration (SISSY), FAS*W. bll. 109–116. IEEE, Tucson, AZ (2017).
     
  • 4.
    Würtz, R.P., Tomforde, S., Calma, A., Kottke, D., Sick, B.: Interactive Learning Without Ground Truth. In: Tomforde, S. en Sick, B. (reds.) Organic Computing -- Doctoral Dissertation Colloquium 2017. bll. 1–4. kassel university press, Kassel, Germany (2017).
     
  • 5.
    Kottke, D., Calma, A., Huseljic, D., Krempl, G., Sick, B.: Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. Workshop on Interactive Adaptive Learning (IAL), ECML PKDD. bll. 2–14 (2017).
     
  • 6.
    Calma, A.: Case Study on Pool-based Active Learning with Human Oracles. In: Tomforde, S. en Sick, B. (reds.) Organic Computing -- Doctoral Dissertation Colloquium 2017. bll. 39–49. kassel university press, Kassel, Germany (2017).
     

2016 [ nach oben ]

  • 1.
    Reitmaier, T., Calma, A., Sick, B.: Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data. arXiv e-prints. arXiv:1610.03995 (2016).
     
  • 2.
    Calma, A., Reitmaier, T., Sick, B.: Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data. International Joint Conference on Neural Networks (IJCNN). bll. 4040–4047. IEEE, Vancouver, BC (2016).
     
  • 3.
    Calma, A.: Pals: Interactive Pool-based Active Learning System with Uncertain Oracles. In: Sick, B. en Tomforde, S. (reds.) Organic Computing -- Doctoral Dissertation Colloquium 2016. bll. 35–44. kassel university press, Kassel, Germany (2016).
     
  • 4.
    Bahle, G., Calma, A., Leimeister, J.M., Lukowicz, P., Oeste-Reiss, S., Reitmaier, T., Schmidt, A., Sick, B., Stumme, G., Zweig, K.A.: Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments -- Opportunistic Collaborative Interactive Learning. Workshop on Self-Improving System Integration (SISSY), ICAC. bll. 1–10. IEEE, Würzburg, Germany (2016).
     
  • 5.
    Calma, A., Leimeister, J.M., Lukowicz, P., Oeste-Reiß, S., Reitmaier, T., Schmidt, A., Sick, B., Stumme, G., Zweig, K.A.: From Active Learning to Dedicated Collaborative Interactive Learning. International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll. 1–8. VDE, Nuremberg, Germany (2016).
     
  • 6.
    Calma, A.: Exploit the Potential of the Group: Putting Humans in the Dedicated Collaborative Interactive Learning Loop. In: Sick, B. en Tomforde, S. (reds.) Organic Computing -- Doctoral Dissertation Colloquium 2016. kassel university press, Kassel, Germany (2016).
     

2015 [ nach oben ]

  • 1.
    Reitmaier, T., Calma, A., Sick, B.: Transductive active learning -- A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data. Information Sciences. 293, 275–298 (2015).
     
  • 2.
    Calma, A., Jänicke, M., Kantert, J., Kopal, N., Siefert, F., Tomforde, S.: Horizontal Integration of Organic Computing and Control Theory Concepts. In: Tomforde, S. en Sick, B. (reds.) Organic Computing -- Doctoral Dissertation Colloquium 2015. bll. 157–164. kassel university press, Kassel, Germany (2015).
     
  • 3.
    Calma, A., Reitmaier, T., Sick, B., Lukowicz, P., Embrechts, M.: A New Vision of Collaborative Active Learning. arXiv e-prints. arXiv:1504.00284 (2015).
     
  • 4.
    Calma, A.: 4DSPro: A New Selection Strategy for Pool-based Active Learning. In: Tomforde, S. en Sick, B. (reds.) Organic Computing -- Doctoral Dissertation Colloquium 2015. bll. 121–133. kassel university press, Kassel, Germany (2015).
     

2014 [ nach oben ]

  • 1.
    Reitmaier, T., Calma, A.: Resp-kNN: A Semi-Supervised kNN-Classifier for Sparsely Labeled Data in the Field of Organic Computing. In: Tomforde, S. en Sick, B. (reds.) Organic Computing -- Doctoral Dissertation Colloquium 2014. bll. 85–97. kassel university press, Kassel, Germany (2014).