Zobrazeno 1 - 10
of 9 531
pro vyhledávání: '"Derry A"'
Autor:
Hendrik N. J. Kuijer, Jian You Wang, Salim Bougouffa, Michael Abrouk, Muhammad Jamil, Roberto Incitti, Intikhab Alam, Aparna Balakrishna, Derry Alvarez, Cristina Votta, Guan-Ting Erica Chen, Claudio Martínez, Andrea Zuccolo, Lamis Berqdar, Salim Sioud, Valentina Fiorilli, Angel R. de Lera, Luisa Lanfranco, Takashi Gojobori, Rod A. Wing, Simon G. Krattinger, Xin Gao, Salim Al-Babili
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract The yield of pearl millet, a resilient cereal crop crucial for African food security, is severely impacted by the root parasitic weed Striga hermonthica, which requires host-released hormones, called strigolactones (SLs), for seed germinatio
Externí odkaz:
https://doaj.org/article/112bab48414a49b8a3ae35f737b8a5ed
Publikováno v:
Jurnal Pemberdayaan Masyarakat, Vol 9, Iss 2, Pp 152-171 (2021)
Zakat produktif menjadi program yang dilakukan oleh Badan Amil Zakat Nasional (BAZNAS) kabupaten Gunungkidul. Program ini merupakan pemberdayaan sosial yang bertujuan untuk mengubah mustahik menjadi muzakki. Fokus penelitian ini ingin melihat bentuk
Externí odkaz:
https://doaj.org/article/2c0af2d1b75644ec9873d6f72c4f27f0
Publikováno v:
Indonesian Community Development Journal, Vol 3, Iss 2 (2022)
Penelitian ini bermaksud mendeskripsikan mengenai potensi wilayah yang dimiliki oleh desa, dengan mengambil contoh wilayah yakni Nagari Saniangbaka, Kabupaten Solok, Sumatera Barat. Potensi yang dimiliki secara spesifik perihal alam serta kebudayaan
Externí odkaz:
https://doaj.org/article/835da53115c94087aa27981350e945e5
Autor:
Winata, Genta Indra, Hudi, Frederikus, Irawan, Patrick Amadeus, Anugraha, David, Putri, Rifki Afina, Wang, Yutong, Nohejl, Adam, Prathama, Ubaidillah Ariq, Ousidhoum, Nedjma, Amriani, Afifa, Rzayev, Anar, Das, Anirban, Pramodya, Ashmari, Adila, Aulia, Wilie, Bryan, Mawalim, Candy Olivia, Cheng, Ching Lam, Abolade, Daud, Chersoni, Emmanuele, Santus, Enrico, Ikhwantri, Fariz, Kuwanto, Garry, Zhao, Hanyang, Wibowo, Haryo Akbarianto, Lovenia, Holy, Cruz, Jan Christian Blaise, Putra, Jan Wira Gotama, Myung, Junho, Susanto, Lucky, Machin, Maria Angelica Riera, Zhukova, Marina, Anugraha, Michael, Adilazuarda, Muhammad Farid, Santosa, Natasha, Limkonchotiwat, Peerat, Dabre, Raj, Audino, Rio Alexander, Cahyawijaya, Samuel, Zhang, Shi-Xiong, Salim, Stephanie Yulia, Zhou, Yi, Gui, Yinxuan, Adelani, David Ifeoluwa, Lee, En-Shiun Annie, Okada, Shogo, Purwarianti, Ayu, Aji, Alham Fikri, Watanabe, Taro, Wijaya, Derry Tanti, Oh, Alice, Ngo, Chong-Wah
Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate their understanding of such knowledge, we introduce WorldCuisines, a mas
Externí odkaz:
http://arxiv.org/abs/2410.12705
Understanding the quality of a performance evaluation metric is crucial for ensuring that model outputs align with human preferences. However, it remains unclear how well each metric captures the diverse aspects of these preferences, as metrics often
Externí odkaz:
http://arxiv.org/abs/2410.02381
Autor:
Aali, Asad, Johnston, Andrew, Blankemeier, Louis, Van Veen, Dave, Derry, Laura T, Svec, David, Hom, Jason, Boutin, Robert D., Chaudhari, Akshay S.
Abdominal computed tomography (CT) scans are frequently performed in clinical settings. Opportunistic CT involves repurposing routine CT images to extract diagnostic information and is an emerging tool for detecting underdiagnosed conditions such as
Externí odkaz:
http://arxiv.org/abs/2409.11686
While large multimodal models (LMMs) have obtained strong performance on many multimodal tasks, they may still hallucinate while generating text. Their performance on detecting salient features from visual data is also unclear. In this paper, we deve
Externí odkaz:
http://arxiv.org/abs/2409.03961
Autor:
Pratama, Derry, Suryanto, Naufal, Adiputra, Andro Aprila, Le, Thi-Thu-Huong, Kadiptya, Ahmada Yusril, Iqbal, Muhammad, Kim, Howon
Penetration testing, a critical component of cybersecurity, typically requires extensive time and effort to find vulnerabilities. Beginners in this field often benefit from collaborative approaches with the community or experts. To address this, we d
Externí odkaz:
http://arxiv.org/abs/2408.11650
Autor:
Kuwanto, Garry, Urua, Eno-Abasi E., Amuok, Priscilla Amondi, Muhammad, Shamsuddeen Hassan, Aremu, Anuoluwapo, Otiende, Verrah, Nanyanga, Loice Emma, Nyoike, Teresiah W., Akpan, Aniefon D., Udouboh, Nsima Ab, Archibong, Idongesit Udeme, Moses, Idara Effiong, Ige, Ifeoluwatayo A., Ajibade, Benjamin, Awokoya, Olumide Benjamin, Abdulmumin, Idris, Aliyu, Saminu Mohammad, Iro, Ruqayya Nasir, Ahmad, Ibrahim Said, Smith, Deontae, Michaels, Praise-EL, Adelani, David Ifeoluwa, Wijaya, Derry Tanti, Andy, Anietie
Publikováno v:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) 11349-11360
Low-resource languages often face challenges in acquiring high-quality language data due to the reliance on translation-based methods, which can introduce the translationese effect. This phenomenon results in translated sentences that lack fluency an
Externí odkaz:
http://arxiv.org/abs/2407.10152
Autor:
Gao, Ge, Kim, Jongin, Paik, Sejin, Novozhilova, Ekaterina, Liu, Yi, Bonna, Sarah T., Betke, Margrit, Wijaya, Derry Tanti
Publikováno v:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) 5944-5955
Predicting emotions elicited by news headlines can be challenging as the task is largely influenced by the varying nature of people's interpretations and backgrounds. Previous works have explored classifying discrete emotions directly from news headl
Externí odkaz:
http://arxiv.org/abs/2407.10091