sustain.AI: a Recommender System to analyze Sustainability
L. Hillebrand, M. Pielka, D. Leonhard, T. Deußer, T. Dilmaghani, B. Kliem, R. Loitz, M. Morad, C. Temath, T. Bell, R. Stenzel, R. Sifa,
2023
Differences in learning characteristics between support vector machine and random forest models for compound classification revealed by Shapley value analysis
F. M. Siemers, J. Bajorath,
2023
Designing highly potent compounds using a chemical language model
H. Chen, J. Bajorath,
2023
Motif2Mol: Prediction of new active compounds based on sequence motifs of ligand binding sites in proteins using a biochemical language model
A. Yoshimori, J. Bajorath,
2023
Identifying, Exploring, and Interpreting Time Series Shapes in Multivariate Time Intervals
G. Shirato, N. Andrienko, G. Andrienko,
2023
Reliable Brain-inspired AI Accelerators using Classical and Emerging Memories
M. Yayla, S. Thomann, M. M. Islam, M. Wei, S. Ho, A. Aziz, C. Yang, J. Chen, H. Amrouch,
2023
A New Aligned Simple German Corpus
V. Toborek, M. Busch, M. Boßert, C. Bauckhage, P. Welke,
2023
Hidden Schema Networks
R. Sanchez, L. Conrads, P. Welke, K. Cvejoski, C. Ojeda,
2023
Neural Markov Jump Processes
P. Seifner, R. Sanchez,
2023
How does Knowledge Injection Help in Informed Machine Learning?
