Publications

Merton Lansley; Nikolaos Polatidis; Stelios Kapetanakis; Kareem Amin; George Samakovitis; Miltos Petridis

Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning

In: Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning: Case-based reasoning and deep learning workshop. Case-Based Reasoning and Deep Learning Workshop (CBDRL-2019), located at Twenty-seventh International Conference on Case-Based Reasoning, September 9, Otzenhausen, Germany, ICCBR, 2019.

Kareem Amin; Stelios Kapetanakis; Klaus-Dieter Althoff; Andreas Dengel; Miltos Petridis

Cases without borders: Automating Knowledge Acquisition Approach using Deep Autoencoders and Siamese Networks in Case-based Reasoning

In: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence. International Conference on Tools with Artificial Intelligence (AAAI SSS-2019), November 4-6, Portland, OR, USA, Pages 133-140, ISBN 978-1-7281-3798-8, IEEE Digital Library, 11/2019.

Rajarshi Biswas; Michael Barz; Daniel Sonntag

Towards Explanatory Interactive Image Captioning Using Top-Down and Bottom-Up Features, Beam Search and Re-ranking

In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 36, Pages 1-14, Springer, 7/2020.

Kareem Amin; Stelios Kapetanakis; Nikolaos Polatidis; Klaus-Dieter Althoff; Andreas Dengel

DeepKAF: A Heterogeneous CBR Deep Learning Approach for NLP Prototyping

In: IEEE (Hrsg.). 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). INISTA (INISTA-2020), located at INnovations in Intelligent SysTems and Applications, August 24-26, Novi Sad, Serbia, Pages 1-7, No. 19951570, IEEE, New York, 9/2020.

René Schuster; Christian Unger; Didier Stricker

A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions

In: Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2021), January 5-9, Waikoloa, HI, USA, IEEE, 2021.

Nikolas Müller; Jonas Stenzel; Jian-Jia Chen

Self-supervised Detection and Pose Estimation of Logistical Objects in 3D Sensor Data

In: 25th International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2020), January 10-15, Milan, Italy, IEEE, 1/2021.

Max Leimkühler; Laura Gravemeier; Tim Biester; Oliver Thomas

Deep learning object detection as an assistance system for complex image labeling tasks

In: Proceedings of the 54th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2021), A Virtual AIS Conference, located at 54th, January 5-8, Hawaii, Hawaii, USA, ISBN 978-0-9981331-4-0, AIS, 2021.

Nijat Mehdiyev

Explainable Process Predictions (xPP): A Holistic Framework and Applications

In: Claudio Di Ciccio; Benoît Depaire; Jochen De Weerdt; Chiara Di Francescomarino; Jorge Munoz-Gama (Hrsg.). ICPM 2020. International Conference on Process Mining (ICPM-2020), 2nd, October 4-9, Padua, Italy, Pages 17-18, Vol. 2703, CEUR, 2020.

Nijat Mehdiyev; Peter Fettke

Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring

In: Witold Pedrycz; Shyi-Ming Chen (Hrsg.). Interpretable Artificial Intelligence: A Perspective of Granular Computing. Chapter 1, Pages 1-28, Vol. 937, ISBN 9783030649487, Springer, 2021.