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Computer Science

D-Index
52
Citations
10374
World Ranking
5103
National Ranking
230

Overview

Ulf Leser is affiliated with Humboldt-Universität zu Berlin in Germany. Their research spans primarily across computer science, with a significant focus on artificial intelligence as well as molecular biology. Other notable subfields include computer networks and communications, signal processing, and information systems and management.

The scientist has contributed extensively to topics such as biomedical text mining and ontologies, topic modeling, scientific computing and data management, time series analysis and forecasting, distributed and parallel computing systems, anomaly detection techniques and applications, and natural language processing techniques.

Ulf Leser's publication record includes papers in various respected venues. Among the recent works are these papers:

  • "Leveraging Large Language Models for Decision Support in Personalized Oncology" (2023, JAMA Network Open)
  • "Earthquake magnitude and location estimation from real time seismic waveforms with a transformer network" (2021, Geophysical Journal International)
  • "The transformer earthquake alerting model: a new versatile approach to earthquake early warning" (2020, Geophysical Journal International)
  • "Finding k-shortest paths with limited overlap" (2020, The VLDB Journal)
  • "TEASER: early and accurate time series classification" (2020, Data Mining and Knowledge Discovery)

They have frequently published in venues such as arXiv (Cornell University), Bioinformatics, Zenodo (CERN European Organization for Nuclear Research), Data Mining and Knowledge Discovery, and the Proceedings of the VLDB Endowment.

Ulf Leser has collaborated regularly with a set of coauthors including Fabian Lehmann, Samuele Garda, Mario Sänger, Leon Weber, and Arik Ermshaus. These coauthors appear often across many publications, indicating sustained research partnerships.

Best Publications

  • Querying distributed RDF data sources with SPARQL

    Bastian Quilitz;Ulf Leser

  • The Stratosphere platform for big data analytics

    Alexander Alexandrov;Rico Bergmann;Stephan Ewen;Johann-Christoph Freytag

  • Deep learning with word embeddings improves biomedical named entity recognition.

    Maryam Habibi;Leon Weber;Mariana L. Neves;David Luis Wiegandt

  • ChemSpot: a hybrid system for chemical named entity recognition

    Tim Rocktäschel;Michael Weidlich;Ulf Leser

  • Fast and practical indexing and querying of very large graphs

    Silke Trißl;Ulf Leser

  • Fast and Accurate Time Series Classification with WEASEL

    Patrick Schäfer;Ulf Leser

  • Quality-driven Integration of Heterogenous Information Systems

    Felix Naumann;Ulf Leser;Johann Christoph Freytag

  • Federated Information Systems: Concepts, Terminology and Architectures

    Susanne Busse;Ralf-Detlef Kutsche;Ulf Leser;Herbert Weber

  • What makes a gene name? Named entity recognition in the biomedical literature.

    Ulf Leser;Jörg Hakenberg

  • A Comprehensive Benchmark of Kernel Methods to Extract Protein–Protein Interactions from Literature

    Domonkos Tikk;Philippe E. Thomas;Peter Palaga;Jörg Hakenberg

  • Completeness of integrated information sources

    Felix Naumann;Johann-Christoph Freytag;Ulf Leser

  • AliBaba: PubMed as a graph

    Conrad Plake;Torsten Schiemann;Marcus Pankalla;Jörg Hakenberg

  • Informationsintegration: Architekturen und Methoden zur Integration verteilter und heterogener Datenquellen.

    Ulf Leser;Felix Naumann

  • DynamicCloudSim: Simulating heterogeneity in computational clouds

    Marc Bux;Ulf Leser

  • A query language for biological networks

    Ulf Leser

  • A Flexible Framework for Integrating Annotations from Different Tools and Tag Sets

    Christian Chiarcos;Stefanie Dipper;Michael Götze;Ulf Leser

  • A hierarchical approach to model web query interfaces for web source integration

    Eduard C. Dragut;Thomas Kabisch;Clement Yu;Ulf Leser

  • Regular path queries on large graphs

    André Koschmieder;Ulf Leser

  • BioCreative III interactive task: an overview.

    Cecilia N Arighi;Phoebe M Roberts;Shashank Agarwal;Sanmitra Bhattacharya

  • Earthquake magnitude and location estimation from real time seismic waveforms with a transformer network

    Jannes Münchmeyer;Dino Bindi;Ulf Leser;Frederik Tilmann

  • Multivariate Time Series Classification with WEASEL+MUSE

    Patrick Schäfer;Ulf Leser

  • Simple tricks for improving pattern-based information extraction from the biomedical literature

    Quang Long Nguyen;Domonkos Tikk;Domonkos Tikk;Ulf Leser

Frequent Co-Authors

Felix Naumann
Felix Naumann Hasso Plattner Institute
Domonkos Tikk
Domonkos Tikk Gravity Research & Development Zrt.
Christine Sers
Christine Sers Charité - University Medicine Berlin
Reinhold Schäfer
Reinhold Schäfer Charité - University Medicine Berlin
Tim Rocktäschel
Tim Rocktäschel University College London
Dino Bindi
Dino Bindi University of Potsdam
Frederik Tilmann
Frederik Tilmann Freie Universität Berlin
Dietrich Rebholz-Schuhmann
Dietrich Rebholz-Schuhmann University of Cologne
Hans Lehrach
Hans Lehrach Max Planck Society
Achim Leutz
Achim Leutz Max Delbrück Center for Molecular Medicine

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