19 citations · 22 across the 4 of their papers we have counts for
8 papers · 1 filter
Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW
Sara Alaee, Kaveh Kamgar, Eamonn Keogh
Over the last decade, time series motif discovery has emerged as a useful primitive for many downstream analytical tasks, including clustering, classification, rule discovery, segm…
Features or Shape? Tackling the False Dichotomy of Time Series Classification
Sara Alaee, Alireza Abdoli, Christian Shelton +3
Time series classification is an important task in its own right, and it is often a precursor to further downstream analytics. To date, virtually all works in the literature have u…
Time Series Classification: Lessons Learned in the (Literal) Field while Studying Chicken Behavior
Alireza Abdoli, Amy C. Murillo, Alec C. Gerry +1
Poultry farms are a major contributor to the human food chain. However, around the world, there have been growing concerns about the quality of life for the livestock in poultry fa…
Time series classification for varying length series
Chang Wei Tan, Francois Petitjean, Eamonn Keogh +1
Research into time series classification has tended to focus on the case of series of uniform length. However, it is common for real-world time series data to have unequal lengths.…
Time Series Classification to Improve Poultry Welfare
Alireza Abdoli, Amy C. Murillo, Chin-Chia M. Yeh +2
Poultry farms are an important contributor to the human food chain. Worldwide, humankind keeps an enormous number of domesticated birds (e.g. chickens) for their eggs and their mea…
Representation Learning by Reconstructing Neighborhoods
Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis +2
Since its introduction, unsupervised representation learning has attracted a lot of attention from the research community, as it is demonstrated to be highly effective and easy-to-…