Concentrating on the Impact: Consequence-based Explanations in Recommender Systems. - Sebastian Lubos; Thi Ngoc Trang Tran; Seda Polat Erdeniz; Merfat El Mansi; Alexander Felfernig; Manfred Wundara; Gerhard Leitner (IntRS@RecSys, 2023)

An extensive comparison of preprocessing methods in the context of configuration space learning. - Damian Garber; Alexander Felfernig; Viet-Man Le; Tamim Burgstaller; Merfat El Mansi (ConfWS, 2024)

Responsible Configuration Using LLM-based Sustainability-Aware Explanations. - Sebastian Lubos; Alexander Felfernig; Lothar Hotz; Thi Ngoc Trang Tran; Seda Polat Erdeniz; Viet-Man Le; Damian Garber; Merfat El Mansi (ConfWS, 2024)

Leveraging LLMs for the Quality Assurance of Software Requirements. - Sebastian Lubos; Alexander Felfernig; Thi Ngoc Trang Tran; Damian Garber; Merfat El Mansi; Seda Polat Erdeniz; Viet-Man Le (RE, 2024)

Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems. - Thi Ngoc Trang Tran; Seda Polat Erdeniz; Alexander Felfernig; Sebastian Lubos; Merfat El Mansi; Viet-Man Le (RecSys, 2024)

Recommender systems for sustainability: overview and research issues. - Alexander Felfernig; Manfred Wundara; Thi Ngoc Trang Tran; Seda Polat Erdeniz; Sebastian Lubos; Merfat El Mansi; Damian Garber; Viet-Man Le (Frontiers Big Data, 2024)