Devin Petersohn
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View article: Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time Open
We propose opportunistic evaluation, a framework for accelerating interactions with dataframes. Interactive latency is critical for iterative, human-in-the-loop dataframe workloads for supporting exploratory data analysis. Opportunistic ev…
View article: Towards scalable dataframe systems
Towards scalable dataframe systems Open
Dataframes are a popular abstraction to represent, prepare, and analyze data. Despite the remarkable success of dataframe libraries in R and Python, dataframes face performance issues even on moderately large datasets. Moreover, there is s…
View article: Convolutional Kitchen Sinks for Transcription Factor Binding Site Prediction
Convolutional Kitchen Sinks for Transcription Factor Binding Site Prediction Open
We present a simple and efficient method for prediction of transcription factor binding sites from DNA sequence. Our method computes a random approximation of a convolutional kernel feature map from DNA sequence and then learns a linear mo…