Boosted Embeddings for Time Series
Sankeerth Rao Karingula, ML Researcher at Palo Alto Networks, joins us today to talk about his work "Boosted Embeddings for Time Series Forecasting." Works Mentioned Boosted Embeddings for Time Serie...
4 Loka 202128min
Change Point Detection in Continuous Integration Systems
David Daly, Performance Engineer at MongoDB, joins us today to discuss "The Use of Change Point Detection to Identify Software Performance Regressions in a Continuous Integration System". Works Mentio...
27 Syys 202133min
Applying k-Nearest Neighbors to Time Series
Samya Tajmouati, a PhD student in Data Science at the University of Science of Kenitra, Morocco, joins us today to discuss her work Applying K-Nearest Neighbors to Time Series Forecasting: Two New App...
20 Syys 202124min
Ultra Long Time Series
Dr. Feng Li, (@f3ngli) is an Associate Professor of Statistics in the School of Statistics and Mathematics at Central University of Finance and Economics in Beijing, China. He joins us today to discus...
13 Syys 202128min
MiniRocket
Angus Dempster, PhD Student at Monash University in Australia, comes on today to talk about MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification, a fast deterministi...
6 Syys 202125min
ARiMA is not Sufficient
Chongshou Li, Associate Professor at Southwest Jiaotong University in China, joins us today to talk about his work Why are the ARIMA and SARIMA not Sufficient.
30 Elo 202122min
Comp Engine
Ben Fulcher, Senior Lecturer at the School of Physics at the University of Sydney in Australia, comes on today to talk about his project Comp Engine. Follow Ben on Twitter: @bendfulcher For posts abou...
23 Elo 202136min
Detecting Ransomware
Nitin Pundir, PhD candidate at University Florida and works at the Florida Institute for Cybersecurity Research, comes on today to talk about his work "RanStop: A Hardware-assisted Runtime Crypto-Rans...
16 Elo 202131min
