Sarab S Sethi

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Robert M. EwersImperial College LondonVerified email at imperial.ac.uk
Nick S JonesMathematics, Imperial College LondonVerified email at imperial.ac.uk
Lorenzo PicinaliDyson School of Design Engineering - Imperial College LondonVerified email at imperial.ac.uk
Ben D. FulcherThe University of SydneyVerified email at sydney.edu.au
Dr C David L OrmeImperial College LondonVerified email at imperial.ac.uk
Carl H LubbaImperial College LondonVerified email at imperial.ac.uk
Holger KlinckDirector, K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, CornellVerified email at cornell.edu
Dena Jane ClinkK. Lisa Yang Center for Conservation Bioacoustics, Cornell UniversityVerified email at cornell.edu
Simon R. SchultzImperial College LondonVerified email at imperial.ac.uk
Carolyn RostenResearcher at Norwegian Institute for Nature ResearchVerified email at nina.no
Benjamin CretoisNorwegian Institute for Nature ResearchVerified email at nina.no
Becky HeathUniversity of CambridgeVerified email at cam.ac.uk
Alexander FornitoAssociate Professor, Monash Clinical and Imaging Neuroscience, Monash UniversityVerified email at monash.edu
Valerio ZerbiEPFL, Neuro-X InstituteVerified email at epfl.ch
Nicole WenderothDepartment of Health Sciences and Technology, ETH Zurich, CHVerified email at hest.ethz.ch
Adi ShabraniGraduate Student, Universiti of MontanaVerified email at umconnect.umt.edu
Zulkifli NursyaminUniversiti Putra MalaysiaVerified email at student.upm.edu.my
Mao-Ning TuanmuAssociate Research Fellow, Academia SinicaVerified email at gate.sinica.edu.tw
Connor M. WoodK. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of OrnithologyVerified email at cornell.edu
Zuzana BurivalovaUniversity of Wisconsin MadisonVerified email at wisc.edu

Sarab S Sethi

Lecturer in Ecosystem Sensing, Imperial College London

Verified email at imperial.ac.uk - Homepage

Bioacoustics Ecosystem monitoring Time-series analysis


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catch22: CAnonical Time-series CHaracteristics: Selected through highly comparative time-series analysis CH Lubba, SS Sethi, P Knaute, SR Schultz, BD Fulcher, NS Jones Data Mining and Knowledge Discovery 33 (6), 1821-1852, 2019	270	2019
Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set SS Sethi, NS Jones, BD Fulcher, L Picinali, DJ Clink, H Klinck, CDL Orme, ... Proceedings of the National Academy of Sciences 117 (29), 17049-17055, 2020	121	2020
Robust, real‐time and autonomous monitoring of ecosystems with an open, low‐cost, networked device SS Sethi, RM Ewers, NS Jones, CDL Orme, L Picinali Methods in Ecology and Evolution 9 (12), 2383-2387, 2018	91	2018
Structural connectome topology relates to regional BOLD signal dynamics in the mouse brain SS Sethi, V Zerbi, N Wenderoth, A Fornito, BD Fulcher Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (4), 2017	73	2017
The motion of trees in the wind: a data synthesis TD Jackson, S Sethi, E Dellwik, N Angelou, A Bunce, T Van Emmerik, ... Biogeosciences Discussions 2020, 1-21, 2020	37	2020
Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions SRPJ Ross, DP O'Connell, JL Deichmann, C Desjonquères, A Gasc, ... Functional Ecology 37 (4), 959-975, 2023	36	2023
SAFE Acoustics: An open‐source, real‐time eco‐acoustic monitoring network in the tropical rainforests of Borneo SS Sethi, RM Ewers, NS Jones, A Signorelli, L Picinali, CDL Orme Methods in Ecology and Evolution 11 (10), 1182-1185, 2020	31	2020
Soundscapes predict species occurrence in tropical forests SS Sethi, RM Ewers, NS Jones, J Sleutel, A Shabrani, N Zulkifli, L Picinali Oikos 2022 (3), e08525, 2022	24	2022
Biodegradable sensors are ready to transform autonomous ecological monitoring SS Sethi, M Kovac, F Wiesemüller, A Miriyev, CM Boutry Nature Ecology & Evolution 6 (9), 1245-1247, 2022	16	2022
How index selection, compression, and recording schedule impact the description of ecological soundscapes BE Heath, SS Sethi, CDL Orme, RM Ewers, L Picinali Ecology and Evolution 11 (19), 13206-13217, 2021	14	2021
Limits to the accurate and generalizable use of soundscapes to monitor biodiversity SS Sethi, A Bick, RM Ewers, H Klinck, V Ramesh, MN Tuanmu, ... Nature Ecology & Evolution 7 (9), 1373-1378, 2023	12	2023
Management relevant applications of acoustic monitoring for Norwegian nature–The sound of Norway SS Sethi, F Fossøy, B Cretois, CM Rosten Norsk institutt for naturforskning (NINA), 2021	11	2021
Voice activity detection in eco‐acoustic data enables privacy protection and is a proxy for human disturbance B Cretois, CM Rosten, SS Sethi Methods in Ecology and Evolution 13 (12), 2865-2874, 2022	6	2022
A self-organizing, living library of time-series data BD Fulcher, CH Lubba, SS Sethi, NS Jones Scientific data 7 (1), 213, 2020	6	2020
Ecology: correct the digital data divide S Sethi, RM Ewers, R Balakrishnan Nature 617 (7959), 35-35, 2023	4	2023
Can CNN‐based species classification generalise across variation in habitat within a camera trap survey? DL Norman, PH Bischoff, OR Wearn, RM Ewers, JM Rowcliffe, B Evans, ... Methods in Ecology and Evolution 14 (1), 242-251, 2023	4	2023
Automated speech detection in eco-acoustic data enables privacy protection and human disturbance quantification B Cretois, C Rosten, SS Sethi bioRxiv, 2022	4	2022
Avifaunal and Herpetofaunal point counts with recorded acoustic data SS Sethi, RM Ewers, N Jones, L Picinali, CL Orme, J Sleutel, A Shabrani, ... Zenodo, 2020	4	2020
CompEngine: a self-organizing, living library of time-series data BD Fulcher, CH Lubba, SS Sethi, NS Jones arXiv preprint arXiv:1905.01042, 2019	4	2019
Combining machine learning and a universal acoustic feature-set yields efficient automated monitoring of ecosystems SS Sethi, NS Jones, BD Fulcher, L Picinali, DJ Clink, H Klinck, CDL Orme, ... BioRxiv, 865980, 2019	3	2019

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