S. Raschka

发表

Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition

Sebastian Raschka, Leslie A Kuhn, Joseph Bemister-Buffington, 2020, Biomolecules.

Protein-ligand interfaces are polarized: Discovery of a strong trend for intermolecular hydrogen bonds to favor donors on the protein side with implications for predicting and designing ligand complexes

L. Kuhn, Joseph Bemister-Buffington, A. Wolf, 2018, bioRxiv.

Identification of potential small-molecule protein-protein inhibitors of cancer metastasis by 3D epitope-based computational screening.

L. Kuhn, M. Basson, S. Raschka, 2018, Journal of physiology and pharmacology : an official journal of the Polish Physiological Society.

Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course pdf

Sebastian Raschka, S. Raschka, 2021, Teaching ML.

Rank Consistent Logits for Ordinal Regression with Convolutional Neural Networks

Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka, 2019 .

tpot: Major upgrade

Randy Olson, Daniel, Francis T. O'Donovan, 2016 .

Detecting the native ligand orientation by interfacial rigidity: SiteInterlock

Sebastian Raschka, L. Kuhn, Joseph Bemister-Buffington, 2016, Proteins.

Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow

Vahid Mirjalili, Sebastian Raschka, S. Raschka, 2017 .

Automated Inference of Chemical Discriminants of Biological Activity.

Sebastian Raschka, Weiming Li, Leslie A Kuhn, 2018, Methods in molecular biology.

Ten quick tips for deep learning in biology pdf

Casey S. Greene, Sebastian Raschka, Anthony Gitter, 2020, PLoS Comput. Biol..

Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness pdf

Sebastian Raschka, Kaiping Chen, Sang Jung Kim, 2021, ArXiv.

Statistical Identification of Potential CLAVATA2 Interactors by Fluorescence Resonance Energy Transfer Analysis

S. Raschka, 2012 .

Techniques for Developing Reliable Machine Learning Classifiers Applied to Understanding and Predicting Protein:Protein Interaction Hot Spots

L. Kuhn, S. Raschka, Jiaxing Chen, 2022, bioRxiv.

Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition

S. Raschka, Benjamin Kaufman, 2020, Methods.

Protein–ligand interfaces are polarized: discovery of a strong trend for intermolecular hydrogen bonds to favor donors on the protein side with implications for predicting and designing ligand complexes

Sebastian Raschka, Leslie A. Kuhn, Joseph Bemister-Buffington, 2018, Journal of Computer-Aided Molecular Design.

Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning pdf

Sebastian Raschka, S. Raschka, 2018, ArXiv.

Machine learning-assisted discovery of GPCR bioactive ligands

Sebastian Raschka, S. Raschka, 2018 .

BioPandas: Working with molecular structures in pandas DataFrames

Sebastian Raschka, S. Raschka, 2017, J. Open Source Softw..

MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack

Sebastian Raschka, S. Raschka, 2018, J. Open Source Softw..

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Corey J. Nolet, S. Raschka, Joshua Patterson, 2020, Inf..

Python Machine Learning

Sebastian Raschka, S. Raschka, 2015 .

Naive Bayes and Text Classification I - Introduction and Theory pdf

Sebastian Raschka, S. Raschka, 2014, ArXiv.

Rank-consistent Ordinal Regression for Neural Networks

Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka, 2019 .

Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks pdf

Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka, 2019, ArXiv.

PrivacyNet: Semi-Adversarial Networks for Multi-Attribute Face Privacy

Arun Ross, Vahid Mirjalili, Sebastian Raschka, 2020, IEEE Transactions on Image Processing.

Rank consistent ordinal regression for neural networks with application to age estimation

S. Raschka, Vahid Mirjalili, Wenzhi Cao, 2019, Pattern Recognit. Lett..

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities

S. Raschka, Xintong Shi, Wenzhi Cao, 2021, Pattern Analysis and Applications.

An Overview of General Performance Metrics of Binary Classifier Systems pdf

Sebastian Raschka, S. Raschka, 2014, ArXiv.

Python machine learning : unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics

Randal S. Olson, Sebastian Raschka, Randal S Olson, 2015 .

FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers

Arun Ross, Vahid Mirjalili, Sebastian Raschka, 2019, IEEE Access.

Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images

Arun Ross, Anoop M. Namboodiri, Vahid Mirjalili, 2017, 2018 International Conference on Biometrics (ICB).

MusicMood: Predicting the mood of music from song lyrics using machine learning pdf

Sebastian Raschka, S. Raschka, 2016, ArXiv.

Machine learning-assisted discovery of GPCR bioactive ligands

S. Raschka, 2018 .

Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers

Arun Ross, Vahid Mirjalili, Sebastian Raschka, 2018, 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS).

Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition

Sebastian Raschka, Leslie A. Kuhn, Joseph Bemister-Buffington, 2020, bioRxiv.

Enabling the hypothesis-driven prioritization of ligand candidates in big databases: Screenlamp and its application to GPCR inhibitor discovery for invasive species control

Nan Liu, Weiming Li, Sebastian Raschka, 2018, bioRxiv.

When Few-Shot Learning Meets Video Object Detection

Lin Chen, S. Raschka, Gaoang Wang, 2021, 2022 26th International Conference on Pattern Recognition (ICPR).

Few-Shot Learning for Video Object Detection in a Transfer-Learning Scheme pdf

Gaoang Wang, Sebastian Raschka, Jiebo Luo, 2021, ArXiv.

Automated discovery of GPCR bioactive ligands.

S. Raschka, 2018, Current opinion in structural biology.