Nils Kemmerzell

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 7

Top Topics

Naive Bayesian Classification

Adaptive Learning

Horizontally Partitioned Data

Energy Consumption

Top Venues

BlackboxNLP@EMNLP

Publications

Annika Schreiner, Nils Kemmerzell
Towards a Quantitative Evaluation Framework for Trustworthy AI in Facial Analysis. HICSS (2024)
Tobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja
Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction. CoRR (2024)
Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung Cao
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks. CoRR (2024)
Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal, Michael Amberg
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process. Mach. Learn. Knowl. Extr. 5 (1) (2023)
Stefan Arnold, Nils Kemmerzell, Annika Schreiner
Disentangling the Linguistic Competence of Privacy-Preserving BERT. CoRR (2023)
Stefan Arnold, Nils Kemmerzell, Annika Schreiner
Disentangling the Linguistic Competence of Privacy-Preserving BERT. BlackboxNLP@EMNLP (2023)
Tobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja
Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction. AI (2) (2023)