Scientific Publications

Cohan, A.; Young, S.; Yates, A.; Goharian, N.: Triaging Content Severity in Online Mental Health Forums. Journal of the Association for Information Science and Technology 68 (11), pp. 2675 - 2689 (2017)

Soldaini, L.; Yates, A.; Goharian, N.: Learning to Reformulate Long Queries for Clinical Decision Support. Journal of the Association for Information Science and Technology 68 (11), pp. 2602 - 2619 (2017)

Malinowski, M.; Rohrbach, M.; Fritz, M.: Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. International Journal of Computer Vision 125 (1-3), pp. 110 - 135 (2017)

Demirci, M. D. S.; Baumbach, J.; Allmer, J.: On the Performance of pre-microRNA Detection Algorithms. Nature Communications 8, 330 (2017)

Arras, L.; Horn, F.; Montavon, G.; Müller, K.-R.; Samek, W.: "What is Relevant in a Text Document?": An Interpretable Machine Learning Approach. PLoS One 12 (8), e0181142 (2017)

Boley, M.; Goldsmith, B. R.; Ghiringhelli, L. M.; Vreeken, J.: Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery. Data Mining and Knowledge Discovery 31 (5), pp. 1391 - 1418 (2017)

Chmiela, S.; Tkatchenko, A.; Sauceda, H. E.; Poltavsky, I.; Schütt, K. T.; Müller, K.-R.: Machine learning of accurate energy-conserving molecular force fields. Science Advances 3 (5), e1603015 (2017)

Nikumbh, S.; Pfeifer, N.: Genetic Sequence-based Prediction of Long-range Chromatin Interactions Suggests a Potential Role of Short Tandem Repeat Sequences in Genome Organization. BMC Bioinformatics 18, 218, pp. 1 - 16 (2017)

Pironti, A.; Pfeifer, N.; Walter, H.; Jensen, B.-E. O.; Zazzi, M.; Gomes, P.; Kaiser, R.; Lengauer, T.: Using Drug Exposure for Predicting Drug Resistance – A data-driven Genotypic Interpretation Tool. PLoS One 12 (4), e0174992 (2017)

List, M.; Ebert, P.; Albrecht, F.: Ten Simple Rules for Developing Usable Software in Computational Biology. PLoS Computational Biology 13 (1), e1005265 (2017)

Adamaszek, A.; Renault, M. P.; Rosen, A.; van Stee, R.: Reordering Buffer Management with Advice. Journal of Scheduling 20 (5), pp. 423 - 442 (2017)

Ahmad, M.; Helms, V.; Kalinina, O. V.; Lengauer, T.: Elucidating the Energetic Contributions to the Binding Free Energy. The Journal of Chemical Physics 146 (1), 014105 (2017)

Albrecht, F.; List, M.; Bock, C.; Lengauer, T.: DeepBlueR: Large-scale Epigenomic Analysis in R. Bioinformatics 33 (13), btx099, pp. 2063 - 2064 (2017)

Alcaraz, N.; List, M.; Batra, R.; Vandin, F.; Ditzel, H. J.; Baumbach, J.: De novo Pathway-based Biomarker Identification. Nucleic Acids Research 45 (16), e151 (2017)

Almeida, D.; Skov, I.; Silva, A.; Vandin, F.; Tan, Q.; Röttger, R.; Baumbach, J.: Efficient Detection of Differentially Methylated Regions using DiMmeR. Bioinformatics 33 (4), pp. 549 - 551 (2017)

Alon, N.; Moran, S.; Yehudayoff, A.: Sign Rank versus Vapnik-Chervonenkis Dimension. Sbornik: Mathematics 208 (12), pp. 1724 - 1757 (2017)

Althaus, E.; Beber, B.; Damm, W.; Disch, S.; Hagemann, W.; Rakow, A.; Scholl, C.; Waldmann, U.; Wirtz, B.: Verification of Linear Hybrid Systems with Large Discrete State Spaces Using Counterexample-guided Abstraction Refinement. Science of Computer Programming 148, pp. 123 - 160 (2017)

Anand, S.; Bringmann, K.; Friedrich, T.; Garg, N.; Kumar, A.: Minimizing Maximum (Weighted) Flow-Time on Related and Unrelated Machines. Algorithmica 77 (2), pp. 515 - 536 (2017)

Antoniadis, A.; Barcelo, N.; Consuegra, M.; Kling, P.; Nugent, M.; Pruhs, K.; Scquizzato, M.: Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-Off Schedules. Algorithmica 79 (2), pp. 568 - 597 (2017)

Antoniadis, A.; Kling, P.; Ott, S.; Riechers, S.: Continuous Speed Scaling with Variability: A simple and Direct Approach. Theoretical Computer Science 678, pp. 1 - 13 (2017)