Hochschulschrift - Doktorarbeit (4)

101.
Hochschulschrift - Doktorarbeit
Ҫiҫek, E.: Relational Cost Analysis. Dissertation, XV, 459 S., Universität des Saarlandes, Saarbrücken (2018)

Forschungspapier (10)

102.
Forschungspapier
Biega, A. J.; Gummadi, K. P.; Weikum, G.: Equity of Attention: Amortizing Individual Fairness in Rankings. (2018), 10 S.
103.
Forschungspapier
Chen, Y.; Singla, A.; Mac Aodha, O.; Perona, P.; Yue, Y.: Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. (2018), 25 S.
104.
Forschungspapier
Francis, P.; Probst-Eide, S.; Obrok, P.; Berneanu, C.; Juric, S.; Munz, R.: Extended Diffix. (2018), 26 S.
105.
Forschungspapier
Gavran, I.; Boldt, B.; Darulova, E.; Majumdar, R.: Precise but Natural Specification for Robot Tasks. (2018), 7 S.
106.
Forschungspapier
Haug, L.; Tschiatschek, S.; Singla, A.: Teaching Inverse Reinforcement Learners via Features and Demonstrations. (2018), 13 S.
107.
Forschungspapier
Heidari, H.; Ferrari, C.; Gummadi, K. P.; Krause, A.: Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making. (2018), 17 S.
108.
Forschungspapier
Neider, D.; Gavran, I.: Learning Linear Temporal Properties. (2018), 10 S.
109.
Forschungspapier
Upadhyay, U.; De, A.; Gomez Rodriguez, M.: Deep Reinforcement Learning of Marked Temporal Point Processes. (2018), 20 S.
110.
Forschungspapier
Valera, I.; Singla, A.; Gomez Rodriguez, M.: Enhancing the Accuracy and Fairness of Human Decision Making. (2018), 11 S.
111.
Forschungspapier
Zhu, X.; Singla, A.; Zilles, S.; Rafferty, A. N.: An Overview of Machine Teaching. (2018), 18 S.

Bericht (3)

112.
Bericht
Majumdar, R.; Piterman, N.; Schmuck, A.-K.: Environmentally-friendly GR(1) Synthesis. Max Planck Institute for Software Systems, Saarbrücken (2018), 33 S.
113.
Bericht
Munz, R.; Eigner, F.; Maffei, M.; Francis, P.; Garg, D.: UniTraX: Protecting Data Privacy with Discoverable Biases. Max Planck Institute for Software Systems, Saarbrücken (2018), 29 S.
114.
Bericht
Yalcinkaya, B.; Nasri, M.; Brandenburg, B.: An Exact Schedulability Test for Non-Preemptive Self-Suspending Real-Time Tasks. Max Planck Institute for Software Systems, Saarbrücken (2018), 8 S.
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