Sebastian Raschka

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BioPandas: Working with molecular structures in pandas DataFrames

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

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

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

Machine learning-assisted discovery of GPCR bioactive ligands

Sebastian Raschka, S. Raschka, 2018 .

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.

Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks pdf

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

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

Sebastian Raschka, Joshua Patterson, Corey Nolet, 2020, Inf..

Python Machine Learning

Sebastian Raschka, S. Raschka, 2015 .

Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition

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

Looking back to lower-level information in few-shot learning pdf

Zhongjie Yu, Sebastian Raschka, 2020, Inf..

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).

Rank-consistent Ordinal Regression for Neural Networks

Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka, 2019 .

Naive Bayes and Text Classification I - Introduction and Theory pdf

Sebastian Raschka, S. Raschka, 2014, ArXiv.

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..

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

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

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

Sebastian Raschka, S. Raschka, 2018, ArXiv.

rasbt/mlxtend: Version 0.12.0

Ajinkya Kale, James Bourbeau, Francis T. O'Donovan, 2017 .

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).

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

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

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

Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka, 2020, Pattern Recognit. Lett..

tpot: Major upgrade

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

Rank Consistent Logits for Ordinal Regression with Convolutional Neural Networks

Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka, 2019 .

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

Sebastian Raschka, S. Raschka, 2016, 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 .

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.

An Overview of General Performance Metrics of Binary Classifier Systems pdf

Sebastian Raschka, S. Raschka, 2014, ArXiv.

Automated Inference of Chemical Discriminants of Biological Activity.

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

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

Benjamin Kaufman, Sebastian Raschka, 2020, Methods.

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

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

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

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

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.

Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities pdf

Sebastian Raschka, Xintong Shi, Wenzhi Cao, 2021, ArXiv.

Ten quick tips for deep learning in biology pdf

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

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

Sebastian Raschka, Leslie A. Kuhn, Santosh Gunturu, 2018 .

Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition

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

Detecting the native ligand orientation by interfacial rigidity: SiteInterlock

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