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Ritwik Kulkarni
Ritwik Kulkarni
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Title
Cited by
Cited by
Year
How to address data privacy concerns when using social media data in conservation science
E Di Minin, C Fink, A Hausmann, J Kremer, R Kulkarni
Conservation Biology 35 (2), 437-446, 2021
1102021
Understanding sentiment of national park visitors from social media data
A Hausmann, T Toivonen, C Fink, V Heikinheimo, R Kulkarni, ...
People and Nature 2 (3), 750-760, 2020
68*2020
Consequences of recreational hunting for biodiversity conservation and livelihoods
E Di Minin, HS Clements, RA Correia, G Cortes-Capano, C Fink, ...
One Earth 4 (2), 238-253, 2021
572021
A statistical investigation into the cross-linguistic distribution of mass and count nouns: Morphosyntactic and semantic perspectives
R Kulkarni, S Rothstein, A Treves
Biolinguistics 7, 132-168, 2013
412013
Automated retrieval of information on threatened species from online sources using machine learning
R Kulkarni, E Di Minin
Methods in Ecology and Evolution 12 (7), 1226-1239, 2021
232021
The effect of negative sampling strategy on capturing semantic similarity in document embeddings
M Saeidi, R Kulkarni, T Togia, M Sama
Proceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep-2), 1-8, 2017
112017
Towards automatic detection of wildlife trade using machine vision models
R Kulkarni, E Di Minin
Biological Conservation 279, 109924, 2023
102023
A Neural Network Perspective on the Syntactic-Semantic Association between Mass and Count Nouns
R Kulkarni, S Rothstein, A Treves
Journal of Advances in Linguistics 6 (2), 964-976, 2016
9*2016
Method and system for a user-specific cognitive unit that enhances generic recommendation systems
R Kulkarni, O Tandiroglu, M Sama, T Porter
US Patent 11,468,343, 2022
22022
Performance comparison of popular text vectorising models on multi-class email classification
R Kulkarni, M Vintró, S Kapetanakis, M Sama
Intelligent Systems and Applications: Proceedings of the 2018 Intelligent …, 2019
22019
Can mass noun syntax be derived from semantics
R Kulkarni, A Treves, S Rothstein
Mass and count in linguistics, philosophy, and cognitive science, 83-102, 2020
12020
Method and system for vector representation of linearly progressing entities
R Kulkarni, M Sama, T Porter
US Patent 10,860,796, 2020
12020
A spiking half-cognitive model for classification
CR Huyck, R Kulkarni
Connection Science 30 (3), 285-305, 2018
12018
Harnessing online digital data in biodiversity monitoring
A Soriano-Redondo, RA Correia, V Barve, TM Brooks, SHM Butchart, ...
Plos Biology 22 (2), e3002497, 2024
2024
Online wildlife trade in species of conservation concern
A Soriano‐Redondo, H Alwasiti, R Kulkarni, RA Correia, S Bryukhova, ...
Conservation Letters 16 (6), e12985, 2023
2023
Using automated content analysis to monitor global online trade in endemic reptile species
J Rinne, R Kulkarni, A Soriano‐Redondo, R Correia, E Di Minin
Diversity and Distributions, 2023
2023
Grammar as the freezing of a Potts glass
V Boboeva, R Kulkarni, A Treves
2015
Exploring Language Mechanisms: The Mass-Count Distinction and The Potts Neural Network
R Kulkarni
SISSA, 2014
2014
A neural network perspective on the syntactic-semantic association between mass and count nouns
A Treves, R Kulkarni
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Articles 1–19