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Lackner, M., Regner, P., & Krenn, B. (2023). abcvoting: A Python package for approval-based multi-winner voting rules. Journal of Open Source Software, 8(81), 1–3. https://doi.org/10.21105/joss.04880 ( reposiTUm)

Bernreiter, M., Maly, J., & Woltran, S. (2022). Choice logics and their computational properties. Artificial Intelligence, 311, 1–24. https://doi.org/10.1016/j.artint.2022.103755 ( reposiTUm)

Igarashi, A., Lackner, M., Nardi, O., & Novaro, A. (2024). Repeated fair allocation of indivisible items. In AAAI’24/IAAI’24/EAAI’24: Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial Intelligence (pp. 9781–9789). AAAI Press. https://doi.org/10.1609/AAAI.V38I9.28837 ( reposiTUm)

Maly, J., Rey, S., Endriss, U., & Lackner, M. (2023). Fairness in Participatory Budgeting via Equality of Resources. In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (pp. 2031–2039). http://hdl.handle.net/20.500.12708/193559 ( reposiTUm)

Lackner, M., & Maly, J. (2023). Proportional Decisions in Perpetual Voting. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (pp. 5722–5729). AAAI Press. https://doi.org/10.1609/aaai.v37i5.25710 ( reposiTUm)

Lackner, M., Maly, J., & Nardi, O. (2023). Free-Riding in Multi-Issue Decisions. In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (pp. 2040–2048). http://hdl.handle.net/20.500.12708/193560 ( reposiTUm)

Brill, M., Forster, S., Lackner, M., Maly, J., & Peters, J. (2023). Proportionality in Approval-Based Participatory Budgeting. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (pp. 5524–5531). AAAI Press. https://doi.org/10.1609/aaai.v37i5.25686 ( reposiTUm)

Chen, J., Lackner, M., & Maly, J. (2022). Participatory Budgeting with Donations and Diversity Constraints. In Proceedings of the AAAI Conference on Artificial Intelligence (pp. 9323–9330). AAAI Press. https://doi.org/10.1609/aaai.v36i9.21163 ( reposiTUm)

Szufa, S., Faliszewski, P., Janeczko, L., Lackner, M., Slinko, A., Sornat, K., & Talmon, N. (2022). How to Sample Approval Elections? In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) (pp. 496–502). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2022/71 ( reposiTUm)

Brill, M., Delemazure, T., George, A.-M., Lackner, M., & Schmidt-Kraepelin, U. (2022). Liquid Democracy with Ranked Delegations. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 4884–4891). AAAI Press. https://doi.org/10.1609/aaai.v36i5.20417 ( reposiTUm)

Lackner, M., Maly, J., & Rey, S. (2021). Fairness in Long-Term Participatory Budgeting. In AAMAS ’21: 20th International Conference on Autonomous Agents and Multiagent Systems (pp. 1566–1568). http://hdl.handle.net/20.500.12708/58559 ( reposiTUm)

Lackner, M., Maly, J., & Rey, S. (2021). Fairness in Long-Term Participatory Budgeting. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. IJCAI 2021 - 30th International Joint Conference on Artificial Intelligence, Montreal, Canada, Canada. https://doi.org/10.24963/ijcai.2021/42 ( reposiTUm)

Haret, A., Lackner, M., Pfandler, A., & Wallner, J. P. (2020). Proportional Belief Merging. In V. Conitzer & F. Sha (Eds.), Proceedings of the AAAI Conference on Artificial Intelligence (pp. 2822–2829). AAAI Press. https://doi.org/10.1609/aaai.v34i03.5671 ( reposiTUm)

Maly, J. (2020). Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of Sets. In Proceedings of the AAAI Conference on Artificial Intelligence (pp. 2152–2159). https://doi.org/10.1609/aaai.v34i02.5590 ( reposiTUm)

Bloembergen, D., Grossi, D., & Lackner, M. (2019). On Rational Delegations in Liquid Democracy. In Proceedings of the AAAI Conference on Artificial Intelligence (pp. 1796–1803). AAAI Press. https://doi.org/10.1609/aaai.v33i01.33011796 ( reposiTUm)

Lackner, M., & Skowron, P. (2019). A Quantitative Analysis of Multi-Winner Rules. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI} 2019, Macao, China, August 10-16, 2019. IJCAI 2019 - 28th International Joint Conference on Artificial Intelligence, Macao, China. ijcai.org. https://doi.org/10.24963/ijcai.2019 ( reposiTUm)

Gangl, C., Lackner, M., Maly, J., & Woltran, S. (2019). Aggregating Expert Opinions in Support of Medical Diagnostic Decision-Making. In Knowledge Representation for Health Care/ProHealth, KR4HC 2019 (pp. 56–62). http://hdl.handle.net/20.500.12708/57907 ( reposiTUm)

Lackner, M., & Skowron, P. (2023). Multi-Winner Voting with Approval Preferences. Springer. https://doi.org/10.1007/978-3-031-09016-5 ( reposiTUm)