Frank Emmert-Streib
About me
The Predictive Society and Data Analytics Lab pursues research in data
science. Data science comprises all methods from machine learning, artificial intelligence and statistics but places data in the center of focus. We are particularly interested in developing and applying high-dimensional methods that can be used for the interrogation of genomics and text data. Frequently, we are combining such methods with network science to obtain holistic interpretations of the underlying problem.
For more information please visit: www.bio-complexity.com
Latest publications
Editorial: AI and multi-omics for rare diseases: challenges, advances and perspectives, Volume III
Emmert-Streib, F., Bottini, S. & Franco, L., 2024, In: Frontiers in Molecular Biosciences. 11, 1392943.Research output: Contribution to journal › Editorial › Scientific
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length
Farea, A. & Emmert-Streib, F., 2024, In: Journal of Artificial Intelligence Research. 80, p. 87-125 39 p.Research output: Contribution to journal › Article › Scientific › peer-review
Exploring COVID-related relationship extraction: Contrasting data sources and analyzing misinformation
Sharma, T., Farea, A., Perera, N. & Emmert-Streib, F., 15 Mar 2024, In: Heliyon. 10, 5, e26973.Research output: Contribution to journal › Article › Scientific › peer-review
Investigating the optimal number of topics by advanced text-mining techniques: Sustainable energy research
Farea, A., Tripathi, S., Glazko, G. & Emmert-Streib, F., Oct 2024, In: Engineering Applications of Artificial Intelligence. 136, 108877.Research output: Contribution to journal › Article › Scientific › peer-review
Is ChatGPT the way toward artificial general intelligence
Emmert-Streib, F., 2024, In: Discover Artificial Intelligence. 4, 1, 32.Research output: Contribution to journal › Article › Scientific › peer-review
Optimal performance of Binary Relevance CNN in targeted multi-label text classification
Yang, Z. & Emmert-Streib, F., 25 Jan 2024, In: Knowledge-Based Systems. 284, 111286.Research output: Contribution to journal › Article › Scientific › peer-review
Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure
Emmert-Streib, F., Tripathi, S. & Dehmer, M., 2023, In: IEEE Access. 11, p. 69649-69666 18 p.Research output: Contribution to journal › Article › Scientific › peer-review
A Study of Roots of a Certain Class of Counting Polynomials
Ghorbani, M., Alidehi-Ravandi, R., Dehmer, M. & Emmert-Streib, F., Jul 2023, In: Mathematics. 11, 13, 2876.Research output: Contribution to journal › Article › Scientific › peer-review
Can ChatGPT understand genetics?
Emmert-Streib, F., 5 Jul 2023, (E-pub ahead of print) In: EUROPEAN JOURNAL OF HUMAN GENETICS.Research output: Contribution to journal › Comment/debate › Scientific
Defining a Digital Twin: A Data Science-Based Unification
Emmert-Streib, F., 2023, In: Machine Learning and Knowledge Extraction. 5, 3, p. 1036-1054 19 p.Research output: Contribution to journal › Article › Scientific › peer-review