Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Cohausz, Lea"'
We present a new approach to goal recognition that involves comparing observed facts with their expected probabilities. These probabilities depend on a specified goal g and initial state s0. Our method maps these probabilities and observed facts into
Externí odkaz:
http://arxiv.org/abs/2408.14224
Goal recognition is an important problem in many application domains (e.g., pervasive computing, intrusion detection, computer games, etc.). In many application scenarios, it is important that goal recognition algorithms can recognize goals of an obs
Externí odkaz:
http://arxiv.org/abs/2306.15362
Autor:
Wilken, Nils, Cohausz, Lea, Schaum, Johannes, Lüdtke, Stefan, Bartelt, Christian, Stuckenschmidt, Heiner
Goal recognition is an important problem in many application domains (e.g., pervasive computing, intrusion detection, computer games, etc.). In many application scenarios it is important that goal recognition algorithms can recognize goals of an obse
Externí odkaz:
http://arxiv.org/abs/2301.10571
An important feature of pervasive, intelligent assistance systems is the ability to dynamically adapt to the current needs of their users. Hence, it is critical for such systems to be able to recognize those goals and needs based on observations of t
Externí odkaz:
http://arxiv.org/abs/2301.05608
Demographic features are commonly used in Educational Data Mining (EDM) research to predict at-risk students. Yet, the practice of using demographic features has to be considered extremely problematic due to the data's sensitive nature, but also beca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50da872602ef270f8a6135b8a6f480a3
Autor:
Nils Wilken, Cohausz, Lea, Schaum, Johannes, Lüdtke, Stefan, Bartelt, Christian, Heiner Stuckenschmidt
Publikováno v:
MADOC-University of Mannheim
Goal recognition is an important problem in many application domains (e.g., pervasive computing, intrusion detection, computer games, etc.). In many application scenarios it is important that goal recognition algorithms can recognize goals of an obse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52d59d80900c5085b0d7e8926478acfa
Autor:
Cohausz, Lea
Student success and drop-out predictions have gained increased attention in recent years, connected to the hope that by identifying struggling students, it is possible to intervene and provide early help and design programs based on patterns discover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a701ba4ef0a796ec0e342a58b90349f9
Autor:
Cohausz, Lea
Despite calls to increase the focus on explainability and interpretability in EDM and, in particular, student success prediction, so that it becomes useful for personalized intervention systems, only few efforts have been undertaken in that direction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51dc49c13259a1760712fb3f6378e2a8
Publikováno v:
Smart Learning Environments; 12/23/2022, Vol. 9 Issue 1, p1-22, 22p
Autor:
Schierholz, Malte, Brenner, Lorraine, Cohausz, Lea, Damminger, Lisa, Fast, Lisa, Hörig, Ann-Kathrin, Huber, Anna-Lena, Ludwig, Theresa, Petry, Annabell, Tschischka, Laura
Berufsklassifikationen sind anhand der ausgeübten Tätigkeit gegliedert und entsprechend wird auch in Umfragen zur Erfassung des Berufs nach der "beruflichen Tätigkeit" gefragt. Obwohl sich diese Abfrage auf die Klassifikation bezieht, wird bei der
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::e7754d99f4146f86ab4e52a646b9c495
https://hdl.handle.net/10419/182153
https://hdl.handle.net/10419/182153