Conceptualization of an AI Based Assistant to Support the Compatibility of Family and Paid Work. - Philippe Krajsic; Martin Schieck; Ingolf Römer; Silvia Torres Landaverde; Carsta Militzer-Horstmann; Bogdan Franczyk (FedCSIS (Communication Papers), 2020)

Lambda Architecture for Anomaly Detection in Online Process Mining Using Autoencoders. - Philippe Krajsic; Bogdan Franczyk (ICCCI (CCIS Volume), 2020)

Variational Autoencoder for Anomaly Detection in Event Data in Online Process Mining. - Philippe Krajsic; Bogdan Franczyk (ICEIS (1), 2021)

Attention-Based Anomaly Detection in Hospital Process Event Data. - Philippe Krajsic; Bogdan Franczyk (ISCMI, 2021)

Semi-Supervised Anomaly Detection in Business Process Event Data using Self-Attention based Classification. - Philippe Krajsic; Bogdan Franczyk (KES, 2021)

Catch Me If You Can: Online Classification for Near Real-Time Anomaly Detection in Business Process Event Streams. - Philippe Krajsic; Bogdan Franczyk (KES, 2022)

Comparison of Deep Learning Architectures for three different Multispectral Imaging Flow Cytometry Datasets. - Philippe Krajsic; Thomas Hornick; Susanne Dunker (FedCSIS (Position Papers), 2023)

Comparison of deep learning methods for grapevine growth stage recognition. - Martin Schieck; Philippe Krajsic; Felix Loos; Abdulbaree Hussein; Bogdan Franczyk; Adrianna Kozierkiewicz; Marcin Pietranik (Comput. Electron. Agric., 2023)

Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication. - Philippe Krajsic; Viola Suess; Zehong Cao; Ryszard Kowalczyk; Bogdan Franczyk (CoRR, 2024)