Alan Said
Viceprefekt
Institutionen för tillämpadUniversitetslektor
Inst tillämpad IT, avd förOm Alan Said
Alan Said är docent i datavetenskap och forskar bland annat på informationssystem och artificiell intelligens. Hans forskning kretsar kring hur informationssystem kan anpassas genom personalisering, rekommendationssystem, och användarmodellering. Said disputerade 2013 vid Technische Universität Berlin. Efter disputation har han arbetat vid, bland annat, Centrum Wiskunde & Informatica i Amsterdam och Delft University of Technology. 2019 flyttade han till Institutionen för Tillämpad IT där han fortsatt forska inom AI samt arbetar som viceprefekt för utbildning på grund och avancerad nivå.
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Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys
2022
Eva Zangerle, Christine Bauer, Alan Said
ACM SIGIR Forum - 2023 -
Social Drones for Health and
Well-being
Mohammad Obaid, Kivanç Tatar, Mikael Wiberg, Alan Said, Mattias Rost, Alexandra Weilenmann, Wafa Johal, Friederike Eyssel
ACM International Conference Proceeding Series - 2022 -
Research directions in recommender systems for health and well-being: A Preface to the Special
Issue
Hanna Hauptmann, Alan Said, Christoph Trattner
User Modeling and User-Adapted Interaction - 2022 -
Report on the 1st workshop on the perspectives on the evaluation of recommender systems (PERSPECTIVES 2021) at RecSys
2021
Eva Zangerle, Christine Bauer, Alan Said
SIGIR Forum - 2022 -
Improving accountability in recommender systems research through
reproducibility
Alejandro Bellogín, Alan Said
User Modeling and User-Adapted Interaction - 2021 -
Prediction Accuracy and
Autonomy
Anton Angwald, Kalle Areskoug, Alan Said
Perspectives on the Evaluation of Recommender Systems Workshop (PERSPECTIVES 2021) - 2021 -
Perspectives on the evaluation of recommender systems
(PERSPECTIVES)
Eva Zangerle, Christine Bauer, Alan Said
RecSys 2021 - 15th ACM Conference on Recommender Systems - 2021 -
Affective Colormap Design for Accurate Visual Comprehension in Industrial
Tomography
Y. C. Zhang, M. Fjeld, M. Fratarcangeli, Alan Said, S. D. Zhao
Sensors - 2021 -
Task-based Colormap Design Supporting Visual Comprehension in Process
Tomography
Yuchong Zhang, Morten Fjeld, Alan Said, Marco Fratarcangeli
EuroVis 2020 - 2020 -
Fourth international workshop on health recommender systems (HealthRecSys
2019)
David Elsweiler, Hanna Schäfer, Bernd Ludwig, Helma Torkamaan, Alan Said, Christoph Trattner
RecSys 2019 - 13th ACM Conference on Recommender Systems - 2019 -
Data Science in
Practice
Alan Said, Vicenç Torra
2018 -
Coherence and inconsistencies in rating behavior: estimating the magic barrier of recommender
systems
Alan Said, Alejandro Bellogín
User Modeling and User-Adapted Interaction - 2018 -
User nutrition modelling and recommendation - Balancing simplicity and
complexity
Hanna Schäfer, Mehdi Elahi, David Elsweiler, Georg Groh, Morgan Harvey, Bernd Ludwig, Francesco Ricci, Alan Said
UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization - 2017 -
Towards health (Aware) recommender
systems
Hanna Schäfer, Santiago Hors-Fraile, Raghav Pavan Karumur, André Calero Valdez, Alan Said, Helma Torkamaan, Tom Ulmer, Christoph Trattner
ACM International Conference Proceeding Series - 2017 -
Predicting cyber vulnerability exploits with machine
learning
Michel Edkrantz, Alan Said
Frontiers in Artificial Intelligence and Applications - 2015