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publications (hide)1315
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1Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components
R. Anantharaman, A. Abdelrehim, F. Martinuzzi, S. Yalburgi, E. Saba, K. Fischer, G. Hertz, P. de Vos, C. Laughman, Y. Ma and 3 other author(s). AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), (2022)
2 months ago by @scadsfct
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1A workflow to identify novel proteins based on the direct mapping of peptide-spectrum-matches to genomic locations
J. Anders, H. Petruschke, N. Jehmlich, S. Haange, M. von Bergen, and P. Stadler. BMC Bioinformatics, 22 (1): 277 (May 2021)
2 months ago by @scadsfct
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communitities;
Small
matches;
proteins
Peptide-spectrum
Microbial
Metaproteogenomics;
communitities;Smallmatches;proteinsPeptide-spectrumMicrobialMetaproteogenomics;
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1RNAcode\_Web - Convenient identification of evolutionary conserved protein coding regions
J. Anders, and P. Stadler. J. Integr. Bioinform., (September 2023)
2 months ago by @scadsfct
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sequence
small
coding
detection;
comparative
genomics;
peptides
sequencesmallcodingdetection;comparativegenomics;peptides
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1RNAcode\_Web -- Convenient Identification of Evolutionary Conserved Protein Coding Regions
J. Anders, and P. Stadler. J. Integrative Bioinf., (2023)in press.
2 months ago by @scadsfct
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1Towards mechanistic prediction of mass spectra using graph transformation
{. Andersen, R. Fagerberg, C. Flamm, R. Kianian, D. Merkle, and {. Stadler. MATCH Communications in Mathematical and in Computer Chemistry, 80 (3): 705--731 (Jan 1, 2018)
2 months ago by @scadsfct
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1Pattern Recognition
B. Andres, F. Bernard, D. Cremers, S. Frintrop, B. Goldlucke, and I. Ihrke (Eds.) Lecture notes in computer science Springer International Publishing, Cham, Switzerland, 1 edition, (September 2022)
2 months ago by @scadsfct
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1A polyhedral study of lifted multicuts
B. Andres, S. Di Gregorio, J. Irmai, and J. Lange. (2022)
2 months ago by @scadsfct
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1Mapping RDF databases to property graph databases
R. Angles, H. Thakkar, and D. Tomaszuk. IEEE Access, (2020)
2 months ago by @scadsfct
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1Calibrating model parameters to trajectory data of mixed vehicular traffic
A. Anil Chaudhari, K. Srinivasan, B. Rama Chilukuri, M. Treiber, and O. Okhrin. Transp. Res. Rec., 2676 (1): 718--735 (January 2022)
a month ago by @scadsfct
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imported
imported
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1Urheberrecht und Patentrecht
S. Anne Lauber-Roensberg. (2023)
a month ago by @scadsfct
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imported
imported
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1Enhanced force-field calibration via machine learning
A. Argun, T. Thalheim, S. Bo, F. Cichos, and G. Volpe. Appl. Phys. Rev., 7 (4): 041404 (December 2020)
2 months ago by @scadsfct
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1Training Multimodal Systems for Classification with Multiple Objectives
J. Armitage, S. Thakur, R. Tripathi, J. Lehmann, and M. Maleshkova. (2020)
2 months ago by @scadsfct
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1Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities
N. Armstrong, K. Mather, M. Sargurupremraj, M. Knol, R. Malik, C. Satizabal, L. Yanek, W. Wen, V. Gudnason, N. Dueker and 76 other author(s). Stroke, 51 (7): 2111--2121 (July 2020)
2 months ago by @scadsfct
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genome-wide
neuroimaging;
white
study;
topic_lifescience
association
brain;
risk
factors;
matter
genome-wideneuroimaging;whitestudy;topic_lifescienceassociationbrain;riskfactors;matter
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1Notation3 as an Existential Rule Language
D. Arndt, and S. Mennicke. Rules and Reasoning - 7th International Joint Conference on Rules and Reasoning, RuleML+RR 2023, Proceedings, Springer, (October 2023)
a month ago by @scadsfct
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imported
imported
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1A Sheaf-Theoretic Construction of Shape Space
S. Arya, J. Curry, and S. Mukherjee. Foundations of Computational Mathematics, (May 2024)
a month ago by @scadsfct
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imported
imported
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1A sheaf-theoretic construction of shape space
S. Arya, J. Curry, and S. Mukherjee. (2022)
2 months ago by @scadsfct
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1Compositional matrix-space models of language: Definitions, properties, and learning methods
S. Asaadi, E. Giesbrecht, and S. Rudolph. Natural Language Engineering, 29 (1): 1--49 (January 2023)
a month ago by @scadsfct
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imported
imported
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1Multi$^3$: Optimizing multimodal single-objective continuous problems in the multi-objective space by means of multiobjectivization
P. Aspar, P. Kerschke, V. Steinhoff, H. Trautmann, and C. Grimme. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2021)
2 months ago by @scadsfct
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1The objective that freed me: a multi-objective local search approach for continuous single-objective optimization
P. Aspar, V. Steinhoff, L. Schäpermeier, P. Kerschke, H. Trautmann, and C. Grimme. Nat. Comput., (September 2022)
2 months ago by @scadsfct
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1Big POI data integration with Linked Data technologies
S. Athanasiou, G. Giorgos, G. Damien, K. Nikos, L. Jens, A. Ngonga Ngomo, P. Kostas, {. Sherif, and D. Skoutas. International Conference on Extending Database Technology 2019, EDBT19, (2019)
2 months ago by @scadsfct
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simba
group\_aksw
2019
deer
lehmann
ngonga
sherif
dice
slipo
limes
simbagroup\_aksw2019deerlehmannngongasherifdiceslipolimes
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PUMA

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1Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components

1A workflow to identify novel proteins based on the direct mapping of peptide-spectrum-matches to genomic locations

1RNAcode\_Web - Convenient identification of evolutionary conserved protein coding regions

1RNAcode\_Web -- Convenient Identification of Evolutionary Conserved Protein Coding Regions

1Towards mechanistic prediction of mass spectra using graph transformation

1Pattern Recognition

1A polyhedral study of lifted multicuts

1Mapping RDF databases to property graph databases

1Calibrating model parameters to trajectory data of mixed vehicular traffic

1Urheberrecht und Patentrecht

1Enhanced force-field calibration via machine learning

1Training Multimodal Systems for Classification with Multiple Objectives

1Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities

1Notation3 as an Existential Rule Language

1A Sheaf-Theoretic Construction of Shape Space

1A sheaf-theoretic construction of shape space

1Compositional matrix-space models of language: Definitions, properties, and learning methods

1Multi$^3$: Optimizing multimodal single-objective continuous problems in the multi-objective space by means of multiobjectivization

1The objective that freed me: a multi-objective local search approach for continuous single-objective optimization

1Big POI data integration with Linked Data technologies

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