| 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 | 137 | 2021 |
| 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 | 82* | 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 | 74 | 2021 |
| 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 | 43 | 2013 |
| 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 | 26 | 2021 |
| Towards automatic detection of wildlife trade using machine vision models R Kulkarni, E Di Minin Biological Conservation 279, 109924, 2023 | 16 | 2023 |
| 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 | 12 | 2017 |
| 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 |
| Harnessing online digital data in biodiversity monitoring A Soriano-Redondo, RA Correia, V Barve, TM Brooks, SHM Butchart, ... PLoS Biology 22 (2), e3002497, 2024 | 3 | 2024 |
| 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 | 2 | 2022 |
| 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 | 2 | 2020 |
| 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 | 2 | 2019 |
| 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 | 1 | 2023 |
| A spiking half-cognitive model for classification CR Huyck, R Kulkarni Connection Science 30 (3), 285-305, 2018 | 1 | 2018 |
| 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 |
| Method and system for vector representation of linearly progressing entities R Kulkarni, M Sama, T Porter US Patent 10,860,796, 2020 | | 2020 |
| 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 |
Alessandro TrevesSISSA, Oxford, Jerusalem, Roma, +Trondheim, AgderVerified email at sissa.it
