Time-series modeling with undecimated fully convolutional neural networks

David Steinberg.  This paper presents a new convolutional neural network-based time-series model. Typical convolutional neural network (CNN) architectures rely on the use of max-pooling operators in between layers, which leads to reduced resolution at the top layers. Instead, this work considers a fully convolutional network (FCN) architecture that uses causal filtering operations, and allows for … Continue reading Time-series modeling with undecimated fully convolutional neural networks

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A quality by design (QbD) case study on liposomes containing hydrophilic API

David Steinberg.  Quality by Design (QbD) in the pharmaceutical industry is a systematic approach to development of drug products and drug manufacturing processes that begins with predefined objectives, emphasizes product and process understanding and sets up process control based on sound science and quality risk management. The FDA and similar regulatory groups elsewhere are actively … Continue reading A quality by design (QbD) case study on liposomes containing hydrophilic API

Arbitrariness of peer review: A Bayesian analysis of the NIPS experiment

David Steinberg.  The principle of peer review is central to the evaluation of research, by ensuring that only high-quality items are funded or published. But peer review has also received criticism, as the selection of reviewers may introduce biases in the system. In 2014, the organizers of the Neural Information Processing Systems conference conducted an … Continue reading Arbitrariness of peer review: A Bayesian analysis of the NIPS experiment