Algorithmic determination of core positions in the VL and VH domains of immunoglobulin molecules. - Israel M. Gelfand; Alexander Kister; Casimir A. Kulikowski; Ognyan Stoyanov (RECOMB, 1998)

Algorithmic Determination of Core Positions in the VL and VH Domains of Immunoglobulin Molecules. - Israel M. Gelfand; Alexander Kister; Casimir A. Kulikowski; Ognyan Stoyanov (J. Comput. Biol., 1998)

Geometric Invariant Core for the CL and CH1 Domains of Immunoglobulin Molecules. - Ognyan Stoyanov; Alexander Kister; Israel M. Gelfand; Casimir A. Kulikowski; Cyrus Chothia (J. Comput. Biol., 2000)

The Main Structural Regularities of the Sandwich Proteins. - Alexander Kister (WABI, 2005)

Relationship between Amino Acids Sequences and Protein Structures: Folding Patterns and Sequence Patterns. - Alexander Kister (ISBRA, 2009)

Beta-sandwich - beta-barrel transformation may serve as a model of a conversion of 'normal' soluble proteins into amyloid aggregates. - Praveen K. Chandrasekharan; Alexander Kister; James C. Phillips (Int. J. Medical Eng. Informatics, 2009)

Optimal Probabilistic Classification in Active Class Selection. - Mirko Bunse; Dorina Weichert; Alexander Kister; Katharina Morik (ICDM, 2020)

Approaching Neural Network Uncertainty Realism. - Joachim Sicking; Alexander Kister; Matthias Fahrland; Stefan Eickeler; Fabian Hüger; Stefan Rüping 001; Peter Schlicht; Tim Wirtz (CoRR, 2021)

Bayesian Optimization for Min Max Optimization. - Dorina Weichert; Alexander Kister (CoRR, 2021)

Monte Carlo Tree Search for high precision manufacturing. - Dorina Weichert; Felix Horchler; Alexander Kister; Marcus Trost; Johannes Hartung; Stefan Risse (CoRR, 2021)

Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs. - Nathalie Paul; Tim Wirtz; Stefan Wrobel; Alexander Kister (CoRR, 2022)

Robustness in Fatigue Strength Estimation. - Dorina Weichert; Alexander Kister; Sebastian Houben; Gunar Ernis; Stefan Wrobel (CoRR, 2022)

Reinforcement Learning for Segmented Manufacturing. - Nathalie Paul; Alexander Kister; Thorben Schnellhardt; Maximilian Fetz; Dirk Hecker; Tim Wirtz (PKDD/ECML Workshops (4), 2023)

Robust Entropy Search for Safe Efficient Bayesian Optimization. - Dorina Weichert; Alexander Kister; Sebastian Houben; Patrick Link; Gunar Ernis (UAI, 2024)

A neural network approach to learning solutions of a class of elliptic variational inequalities. - Amal Alphonse; Michael Hintermüller; Alexander Kister; Chin Hang Lun; Clemens Sirotenko (CoRR, 2024)