Goran Mauša

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Croatia

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Dizajn katalitički aktivnih peptida i peptidnih nanostruktura

Open Date: 2020-01-02

Close Date: 2025-01-31

Articles (10)

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (7)

Daniela Kalafatovic

CROATIA

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Marta Alvir

CROATIA

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Siniša Družeta

CROATIA

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Ivana Lučin

CROATIA

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Marina Ivasic-Kos

CROATIA

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Ivan Štajduhar

CROATIA

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Jonatan Lerga

CROATIA

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Goran Mauša

Research Interests

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Recent Grants

Articles (10)

Configurable soft computing-based generative model: The search for catalytic peptides

Manually curated dataset of catalytic peptides for ester hydrolysis

Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue

Sequential Properties Representation Scheme for Recurrent Neural Network-Based Prediction of Therapeutic Peptides

Esterase Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs

Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis

The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data

Deep Learning Approach For Objects Detection in Underwater Pipeline Images

Coupled encoding methods for antimicrobial peptide prediction: How sensitive is a highly accurate model?

Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?

Collaborators (7)

Daniela Kalafatovic

Marta Alvir

Siniša Družeta

Ivana Lučin

Marina Ivasic-Kos

Ivan Štajduhar

Jonatan Lerga

Make your next move.

Goran Mauša

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (10)

Configurable soft computing-based generative model: The search for catalytic peptides

Manually curated dataset of catalytic peptides for ester hydrolysis

Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue

Sequential Properties Representation Scheme for Recurrent Neural Network-Based Prediction of Therapeutic Peptides

Esterase Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs

Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis

The Choice of Time&ndash;Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data

Deep Learning Approach For Objects Detection in Underwater Pipeline Images

Coupled encoding methods for antimicrobial peptide prediction: How sensitive is a highly accurate model?

Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?

Collaborators (7)

Daniela Kalafatovic

Marta Alvir

Siniša Družeta

Ivana Lučin

Marina Ivasic-Kos

Ivan Štajduhar

Jonatan Lerga

Make your next move.

The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data