activity
20172022
most citedEfficient Approximate Query Answering over Sensor Data with Deterministic Error Guarantees

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.GN2022

Packaging, containerization, and virtualization of computational omics methods: Advances, challenges, and opportunities

Mohammed Alser, Sharon Waymost, Ram Ayyala +17

Omics software tools have reshaped the landscape of modern biology and become an essential component of biomedical research. The increasing dependence of biomedical scientists on t…

q-bio.OT2020

Recommendations to enhance rigor and reproducibility in biomedical research

Jaqueline J. Brito, Jun Li, Jason H. Moore +4

Computational methods have reshaped the landscape of modern biology. While the biomedical community is increasingly dependent on computational tools, the mechanisms ensuring open d…

cs.DC2019

Telescope: an interactive tool for managing large scale analysis from mobile devices

Jaqueline J. Brito, Thiago Mosqueiro, Jeremy Rotman +8

In today's world of big data, computational analysis has become a key driver of biomedical research. Recent exponential growth in the volume of available omics data has reshaped th…

cs.DB2018★ 4 cited

Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees

Chunbin Lin, Etienne Boursier, Yannis Papakonstantinou

Plato provides fast approximate analytics on time series, by precomputing and storing compressed time series. Plato's key novelty is the delivery of tight deterministic error guara…

cs.DB2017★ 4 cited

Efficient Approximate Query Answering over Sensor Data with Deterministic Error Guarantees

Jaqueline Brito, Korhan Demirkaya, Boursier Etienne +3

With the recent proliferation of sensor data, there is an increasing need for the efficient evaluation of analytical queries over multiple sensor datasets. The magnitude of such da…