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A multi-firearm, multi-orientation audio dataset of gunshots
This work describes a multi-firearm, multi-orientation, time-synchronized audio dataset collected in a semi-controlled real-world setting, which is ideal for gunshots detection and discharging firearm recognition tasks.
Ruksana Kabealo
,
Steven Wyatt
,
Akshay Aravamudan
,
Xi Zhang
,
David N. Acaron
,
Mawaba P. Dao
,
David Elliott
,
Anthony O. Smith
,
Carlos E. Otero
,
Luis D. Otero
,
Georgios C. Anagnostopoulos
,
Adrian M. Peter
,
Wesley Jones
,
Eric Lam
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Advancing flood warning procedures in ungauged basins with machine learning
In this work we present a prototype ML-based framework for flood warning and flood peak prediction based on catchment characteristics and precipitation profiles. Based on this framework we analyze a host of findings across 18 distinct hydroclimatic regions across the contiguous US.
Zimeena Rasheed
,
Akshay Aravamudan
,
Ali Gorji Sefidmazgi
,
Georgios C. Anagnostopoulos
,
Efthymios I. Nikolopoulos
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DOI
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning
We show a Talagrand-type concentration inequality for Multi-Task Learning (MTL), with which we establish sharp excess risk bounds for …
Niloofar Yousefi
,
Yunwen Lei
,
Marius Kloft
,
Mansooreh Mollaghasemi
,
Georgios C. Anagnostopoulos
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Pareto-Optimal Model Selection via SPRINT-Race
In machine learning, the notion of multi-objective model selection (MOMS) refers to the problem of identifying the set of …
Tiantian Zhang
,
Michael Georgiopoulos
,
Georgios C. Anagnostopoulos
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