Naive Bayes and Text Classification I - Introduction and Theory. - Sebastian Raschka (CoRR, 2014)

An Overview of General Performance Metrics of Binary Classifier Systems. - Sebastian Raschka (CoRR, 2014)

MusicMood: Predicting the mood of music from song lyrics using machine learning. - Sebastian Raschka (CoRR, 2016)

BioPandas: Working with molecular structures in pandas DataFrames. - Sebastian Raschka (J. Open Source Softw., 2017)

Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers. - Vahid Mirjalili; Sebastian Raschka; Arun Ross (BTAS, 2018)

Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images. - Vahid Mirjalili; Sebastian Raschka; Anoop M. Namboodiri; Arun Ross (ICB, 2018)

Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning. - Sebastian Raschka (CoRR, 2018)

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; Anne M. Scott; Nan Liu; Santosh Gunturu; Mar Huertas; Weiming Li; Leslie A. Kuhn (J. Comput. Aided Mol. Des., 2018)

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; Alex J. Wolf; Joseph Bemister-Buffington; Leslie A. Kuhn (J. Comput. Aided Mol. Des., 2018)

MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack. - Sebastian Raschka (J. Open Source Softw., 2018)

FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers. - Vahid Mirjalili; Sebastian Raschka; Arun Ross (IEEE Access, 2019)

Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks. - Wenzhi Cao; Vahid Mirjalili; Sebastian Raschka (CoRR, 2019)

Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition. - Sebastian Raschka; Benjamin Kaufman (CoRR, 2020)

Looking Back to Lower-Level Information in Few-Shot Learning. - Zhongjie Yu 003; Sebastian Raschka (Inf., 2020)

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence. - Sebastian Raschka; Joshua Patterson; Corey Nolet (Inf., 2020)

Rank consistent ordinal regression for neural networks with application to age estimation. - Wenzhi Cao; Vahid Mirjalili; Sebastian Raschka (Pattern Recognit. Lett., 2020)

PrivacyNet: Semi-Adversarial Networks for Multi-Attribute Face Privacy. - Vahid Mirjalili; Sebastian Raschka; Arun Ross (IEEE Trans. Image Process., 2020)

Deeper Learning By Doing: Integrating Hands-On Research Projects Into A Machine Learning Course. - Sebastian Raschka (Teaching ML, 2021)

Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness. - Kaiping Chen; Sang Jung Kim; Sebastian Raschka; Qiantong Gao (CoRR, 2021)

Few-Shot Learning for Video Object Detection in a Transfer-Learning Scheme. - Zhongjie Yu 003; Gaoang Wang; Lin Chen 021; Sebastian Raschka; Jiebo Luo 001 (CoRR, 2021)

Ten Quick Tips for Deep Learning in Biology. - Benjamin D. Lee; Anthony Gitter; Casey S. Greene; Sebastian Raschka; Finlay Maguire; Alexander J. Titus; Michael D. Kessler; Alexandra J. Lee; Marc G. Chevrette; Paul Allen Stewart; Thiago Britto-Borges; Evan M. Cofer; et al. (CoRR, 2021)

When Few-Shot Learning Meets Video Object Detection. - Zhongjie Yu 003; Gaoang Wang; Lin Chen 021; Sebastian Raschka; Jiebo Luo 001 (ICPR, 2022)

Ten quick tips for deep learning in biology. - Benjamin D. Lee; Anthony Gitter; Casey S. Greene; Sebastian Raschka; Finlay Maguire; Alexander J. Titus; Michael D. Kessler; Alexandra J. Lee; Marc G. Chevrette; Paul Allen Stewart; Thiago Britto-Borges; Evan M. Cofer; et al. (PLoS Comput. Biol., 2022)

PrivacyNet results: obfuscated face images. - Vahid Mirjalili; Sebastian Raschka; Arun Ross (IEEE DataPort, 2022)

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities. - Xintong Shi; Wenzhi Cao; Sebastian Raschka (Pattern Anal. Appl., 2023)