47 citations · 67 across the 7 of their papers we have counts for
7 papers
Scrutinizing Shipment Records To Thwart Illegal Timber Trade
Debanjan Datta, Sathappan Muthiah, John Simeone +2
Timber and forest products made from wood, like furniture, are valuable commodities, and like the global trade of many highly-valued natural resources, face challenges of corruptio…
Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions
Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal +6
Understanding key insights from full-text scholarly articles is essential as it enables us to determine interesting trends, give insight into the research and development, and buil…
Detecting Anomalies Through Contrast in Heterogeneous Data
Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan
Detecting anomalies has been a fundamental approach in detecting potentially fraudulent activities. Tasked with detection of illegal timber trade that threatens ecosystems and econ…
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System
Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur +15
EMBERS is an anticipatory intelligence system forecasting population-level events in multiple countries of Latin America. A deployed system from 2012, EMBERS has been generating al…
Hierarchical Quickest Change Detection via Surrogates
Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon +1
Change detection (CD) in time series data is a critical problem as it reveal changes in the underlying generative processes driving the time series. Despite having received signifi…
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning
Yue Ning, Sathappan Muthiah, Huzefa Rangwala +1
Forecasting events like civil unrest movements, disease outbreaks, financial market movements and government elections from open source indicators such as news feeds and social med…