Zobrazeno 1 - 10
of 64 341
pro vyhledávání: '"Salma ."'
Autor:
Pallage, Julien, Scherrer, Bertrand, Naccache, Salma, Bélanger, Christophe, Lesage-Landry, Antoine
In this work, we present a new unsupervised anomaly (outlier) detection (AD) method using the sliced-Wasserstein metric. This filtering technique is conceptually interesting for integration in MLOps pipelines deploying trustworthy machine learning mo
Externí odkaz:
http://arxiv.org/abs/2410.21712
Zoomorphic robots have the potential to offer companionship and well-being as accessible, low-maintenance alternatives to pet ownership. Many such robots, however, feature limited emotional expression, restricting their potential for rich affective r
Externí odkaz:
http://arxiv.org/abs/2410.15486
We give an explicit algebraic characterisation of all definable henselian valuations on a dp-minimal real field. Additionally we characterise all dp-minimal real fields that admit a definable henselian valuation with real closed residue field. We do
Externí odkaz:
http://arxiv.org/abs/2410.10344
In recent years, machine learning technologies have gained immense popularity and are being used in a wide range of domains. However, due to the complexity associated with machine learning algorithms, it is a challenge to make it user-friendly, easy
Externí odkaz:
http://arxiv.org/abs/2410.09368
Autor:
Haidar, Salma, Oramas, José
Self-supervised contrastive learning is an effective approach for addressing the challenge of limited labelled data. This study builds upon the previously established two-stage patch-level, multi-label classification method for hyperspectral remote s
Externí odkaz:
http://arxiv.org/abs/2410.07790
Autor:
Magid, Salma Abdel, Pan, Weiwei, Warchol, Simon, Guo, Grace, Kim, Junsik, Rahman, Mahia, Pfister, Hanspeter
Text-to-image (T2I) models are increasingly used in impactful real-life applications. As such, there is a growing need to audit these models to ensure that they generate desirable, task-appropriate images. However, systematically inspecting the assoc
Externí odkaz:
http://arxiv.org/abs/2410.04634
The early detection and nuanced subtype classification of non-small cell lung cancer (NSCLC), a predominant cause of cancer mortality worldwide, is a critical and complex issue. In this paper, we introduce an innovative integration of multi-modal dat
Externí odkaz:
http://arxiv.org/abs/2409.18715
Effective disinfection is essential for maintaining water quality standards in distribution networks. Chlorination, as the most used technique, ensures safe water by maintaining sufficient chlorine residuals but also leads to the formation of disinfe
Externí odkaz:
http://arxiv.org/abs/2409.08157
Autor:
Marcel, Miracle Chibuzor, Diaby, Kassamba Abdel Aziz, Guennoun, Meryem, Nabifo, Betty Rose, Elattar, Mohamed, Rajaonarivelo, Andoniaina, Pius, Privatus, Kgobathe, Molly Nkamogelang, Luis, Immanuel, Shilunga, Sigrid, Etteyeb, Nejmeddine, Qhomane, Keketso, Nyangi, Samuel, Kalunga, Tresford Chilufya, Assano, Nunes Alfredo, Jequecene, Edson Domingos, Joseph, Mafuka Lusala, Sudum, Esaenwi, Gerald, Jorbedom Leelabari, Gore, Christopher Tombe Louis, Hosny, Kareem Waleed, Yasser, Nagat, Franck, Jocelyn, Kourouma, Mamoudou, Bobb, Baboucarr, Jaiteh, Kebab, Sylla, Salma, Obame, Hans Essone, Kiyeng, Dennis, Ngwanw, Thobekile Sandra, Simon, Tawanda Kelvin, Sulayman, Saja Alhoush, Regaibi, Salma, Yahaya, Souley, Ornela, Tengwi Mogou, Viyuyi, Henry Sanderson, Matambo, Fortune Tatenda, Asare-Darko, Matthias, Gbaba, Christian Kontoa Koussouwa, da Silva, Moisés, Joseph, Ntahompagaze, Gomes, Gilberto, Mkhabela, Bongiwe Portia, Bvumbwe, Bauleni, Nkhowani, Tshombe, Gahou, Mawugnon Axel, Abotsi-Masters, Sarah, Simbizi, René, Mugisha, Salomon, Saeed, Ahmed, Eldaw, Mohammed Yahya Alradi, Thomas, Allen, ridha, Ben Abdallah, kaseha, Dieumerci, Baradei, Sherine Ahmed El, Hussein, Nahla Hazem, Fabrice, Bado, Anekwe, Ngozika Frances, Ramessur, Arvind, Koroma, Mohamed Ali, Safary, Harold, Leonardo, Oosthuizen, Dlamini, Mdumiseni Wisdom Dabulizwe, Djabbi, Mamadou Mahamat, Angela, Nonofo, Jalloh, Mamaja, Balde, Mamadou, Olayiwola, Joy, Ibharalu, Elijah, Tchangole, Thierry Martial, Memberu, Kirubel, Dinsa, Lidia, Ezeakunne, Chidozie Gospel
Citizen science offers an opportunity for ordinary people, known as citizen scientists or citizen astronomers in the context of astronomy, to contribute to scientific research. The Pan-African Citizen Science e-Lab (PACS e-Lab) was founded to promote
Externí odkaz:
http://arxiv.org/abs/2408.11059
Autor:
Marcel, Miracle Chibuzor, Diaby, Kassamba Abdel Aziz, Guennoun, Meryem, Nabifo, Betty Rose, Elattar, Mohamed, Rajaonarivelo, Andoniaina, Pius, Privatus, Kgobathe, Molly Nkamogelang, Luis, Immanuel, Shilunga, Sigrid, Etteyeb, Nejmeddine, Qhomane, Keketso, Nyangi, Samuel, Kalunga, Tresford Chilufya, Assano, Nunes Alfredo, Jequecene, Edson Domingos, Joseph, Mafuka Lusala, Sudum, Esaenwi, Gerald, Jorbedom Leelabari, Gore, Christopher Tombe Louis, Hosny, Kareem Waleed, Yasser, Nagat, Franck, Jocelyn, Kourouma, Mamoudou, Bobb, Baboucarr, Jaiteh, Kebab, Sylla, Salma, Obame, Hans Essone, Kiyeng, Dennis, Ngwanw, Thobekile Sandra, Simon, Tawanda Kelvin, Sulayman, Saja Alhoush, Regaibi, Salma, Yahaya, Souley, Ornela, Tengwi Mogou, Viyuyi, Henry Sanderson, Matambo, Fortune Tatenda, Asare-Darko, Matthias, Gbaba, Christian Kontoa Koussouwa, da Silva, Moisés, Joseph, Ntahompagaze, Gomes, Gilberto, Mkhabela, Bongiwe Portia, Bvumbwe, Bauleni, Nkhowani, Tshombe, Gahou, Mawugnon Axel, Abotsi-Masters, Sarah, Simbizi, René, Mugisha, Salomon, Saeed, Ahmed, Eldaw, Mohammed Yahya Alradi, Thomas, Allen, ridha, Ben Abdallah, kaseha, Dieumerci, Baradei, Sherine Ahmed El, Hussein, Nahla Hazem, Fabrice, Bado, Anekwe, Ngozika Frances, Ramessur, Arvind, Koroma, Mohamed Ali, Safary, Harold, Leonardo, Oosthuizen, Dlamini, Mdumiseni Wisdom Dabulizwe, Djabbi, Mamadou Mahamat, Angela, Nonofo, Jalloh, Mamaja, Balde, Mamadou, Olayiwola, Joy, Ibharalu, Elijah, Tchangole, Thierry Martial, Memberu, Kirubel, Dinsa, Lidia, Ezeakunne, Chidozie Gospel
Asteroid search is a global effort for planetary defense. The International Astronomical Search Collaboration (IASC) is the leading global educational outreach program that provides high-quality astronomical datasets to citizen scientists to discover
Externí odkaz:
http://arxiv.org/abs/2408.03385