Dr. Adrian Calma

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). https://doi.org/10.1109/ACCESS.2021.3135514.

Calma, A.: Active Learning with Uncertain Annotators, (2020). https://doi.org/10.17170/kobra-202009171814.

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).

Sandrock, C., Herde, M., Calma, A., Kottke, D., Sick, B.: Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. In: International Joint Conference on Neural Networks (IJCNN). bll 1–8. IEEE (2019). https://doi.org/10.1109/IJCNN.2019.8852456.

Krempl, G., Lemaire, V., Kottke, D., Calma, A., Holzinger, A., Polikar, R., Sick, B. reds: Workshop on Interactive Adaptive Learning (IAL), ECML PKDD. (2018).

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. In: International Joint Conference on Neural Networks (IJCNN). IEEE, Rio de Janiero, Brazil (2018). https://doi.org/10.1109/ijcnn.2018.8489637.

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). https://doi.org/10.1016/j.ins.2018.04.063.

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. In: Hawaii International Conference on System Sciences (HICSS) (2018). https://doi.org/10.24251/hicss.2018.120.

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). https://doi.org/10.5445/KSP/1000087327/16.

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. In: International Joint Conference on Neural Networks (IJCNN). IEEE, Rio de Janiero, Brazil (2018). https://doi.org/10.1109/ijcnn.2018.8489161.

Calma, A., Stolz, M., Kottke, D., Tomforde, S., Sick, B.: Active Learning with Realistic Data -- A Case Study. In: International Joint Conference on Neural Networks (IJCNN). IEEE, Rio de Janiero, Brazil (2018). https://doi.org/10.1109/ijcnn.2018.8489394.

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. In: Workshop on Self-Optimisation in Autonomic and Organic Computing Systems (SAOS), ARCS. bll 150–159. VDE, London, UK (2018).

Calma, A., Sick, B.: Simulation of Annotators for Active Learning: Uncertain Oracles. In: Workshop on Interactive Adaptive Learning (IAL), ECML PKDD. bll 49–58 (2017).

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).

Calma, A., Kottke, D., Sick, B., Tomforde, S.: Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms. In: Workshop on Self-Improving System Integration (SISSY), FAS*W. bll 109–116. IEEE, Tucson, AZ (2017). https://doi.org/10.1109/fas-w.2017.129.

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).

Kottke, D., Calma, A., Huseljic, D., Krempl, G., Sick, B.: Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. In: Workshop on Interactive Adaptive Learning (IAL), ECML PKDD. bll 2–14 (2017).

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).

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).

Calma, A., Reitmaier, T., Sick, B.: Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data. In: International Joint Conference on Neural Networks (IJCNN). bll 4040–4047. IEEE, Vancouver, BC (2016). https://doi.org/10.1109/ijcnn.2016.7727725.

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).

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. In: Workshop on Self-Improving System Integration (SISSY), ICAC. bll 1–10. IEEE, Würzburg, Germany (2016). https://doi.org/10.1109/icac.2016.36.

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. In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–8. VDE, Nuremberg, Germany (2016).

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).

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). https://doi.org/10.1016/j.ins.2014.09.009.

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).

Calma, A., Reitmaier, T., Sick, B., Lukowicz, P., Embrechts, M.: A New Vision of Collaborative Active Learning. arXiv e-prints. arXiv:1504.00284 (2015).

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).

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).