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2020 – today
- 2024
[i4]Ivan Sekulic, Silvia Terragni, Victor Guimarães, Nghia Khau, Bruna Guedes, Modestas Filipavicius, André Ferreira Manso, Roland Mathis:
Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems. CoRR abs/2402.13374 (2024)- 2023
- [i3]Silvia Terragni, Modestas Filipavicius, Nghia Khau, Bruna Guedes, André Ferreira Manso, Roland Mathis:
In-Context Learning User Simulators for Task-Oriented Dialog Systems. CoRR abs/2306.00774 (2023) - 2021
- [j3]Joris Cadow
, Matteo Manica, Roland Mathis, Tiannan Guo, Ruedi Aebersold, María Rodríguez Martínez:
On the feasibility of deep learning applications using raw mass spectrometry data. Bioinform. 37(Supplement): 245-253 (2021) - 2020
- [j2]Matteo Manica, Raphael Polig, Mitra Purandare, Roland Mathis, Christoph Hagleitner, María Rodríguez Martínez:
FPGA Accelerated Analysis of Boolean Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2141-2147 (2020)
2010 – 2019
- 2019
- [j1]Matteo Manica, Roland Mathis, Joris Cadow, María Rodríguez Martínez:
Context-specific interaction networks from vector representation of words. Nat. Mach. Intell. 1(4): 181-190 (2019) - 2018
- [i2]Ali Oskooei, Matteo Manica, Roland Mathis, María Rodríguez Martínez:
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer. CoRR abs/1808.06603 (2018) - 2017
- [i1]Manuel Le Gallo, Abu Sebastian, Roland Mathis, Matteo Manica, Tomas Tuma, Costas Bekas, Alessandro Curioni, Evangelos Eleftheriou:
Mixed-Precision Memcomputing. CoRR abs/1701.04279 (2017)
Coauthor Index
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