AdaptiveRec: Adaptively Construct Pairs for Contrastive Learning in Sequential Recommendation

Autor: Jeon, Jaeheyoung, Ryu, Jung Hyun, Cho, Jewoong, Kang, Myungjoo

This paper presents a solution to the challenges faced by contrastive learning in sequential recommendation systems. In particular, it addresses the issue of false negative, which limits the effectiveness of recommendation algorithms. By introducing

Externí odkaz: http://arxiv.org/abs/2307.05469

AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme

Autor: Jeong, Yungi, Yang, Eunseok, Ryu, Jung Hyun, Park, Imseong, Kang, Myungjoo

Mechanical defects in real situations affect observation values and cause abnormalities in multivariate time series, such as sensor values or network data. To perceive abnormalities in such data, it is crucial to understand the temporal context and i

Externí odkaz: http://arxiv.org/abs/2305.04468

eQTLs identify regulatory networks and drivers of variation in the individual response to sepsis

Autor: Addison, Jenni, Galley, Helen, Hall, Sally, Roughton, Sian, Taylor, Jane, Tennant, Heather, Webster, Nigel, Guleri, Achyut, Waddington, Natalia, Arawwawala, Dilshan, Durcan, John, Mitchell-Inwang, Christine, Short, Alasdair, Smolen, Susan, Swan, Karen, Williams, Sarah, Errington, Emily, Gordon, Tony, Templeton, Maie, McCauley, Marie, Venatesh, Pyda, Ward, Geraldine, Baudouin, Simon, Grier, Sally, Hall, Elaine, Higham, Charley, Soar, Jasmeet, Brett, Stephen, Kitson, David, Moreno, Juan, Mountford, Laura, Wilson, Robert, Hall, Peter, Hewlett, Jackie, McKechnie, Stuart, Faras-Arraya, Roser, Garrard, Christopher, Hutton, Paula, Millo, Julian, Parsons, Penny, Smiths, Alex, Young, Duncan, Raymode, Parizade, Andreou, Prem, Bowrey, Sarah, Hales, Dawn, Kazembe, Sandra, Rich, Natalie, Roberts, Emma, Thompson, Jonathan, Fletcher, Simon, Glister, Georgina, Rosbergen, Melissa, Cuesta, Jeronimo Moreno, Bion, Julian, Carrera, Ronald, Lees, Sarah, Millar, Joanne, Mitchell, Natalie, Nilson, Annette, Perry, Elsa Jane, Ruel, Sebastian, Wilde, Jude, Willis, Heather, Atkinson, Jane, Brown, Abby, Jacques, Nicola, Kapila, Atul, Prowse, Heather, Bland, Martin, Bullock, Lynne, Harrison, Donna, Krige, Anton, Mills, Gary, Humphreys, John, Armitage, Kelsey, Laha, Shond, Baldwin, Jacqueline, Walsh, Angela, Doherty, Nicola, Drage, Stephen, Ortiz-Ruiz de Gordoa, Laura, Lowes, Sarah, Walsh, Helen, Calder, Verity, Swan, Catherine, Payne, Heather, Higgins, David, Andrews, Sarah, Mappleback, Sarah, Hinds, Charles, Watson, D., McLees, Eleanor, Purdy, Alice, Stotz, Martin, Ochelli-Okpue, Adaeze, Bonner, Stephen, Whitehead, Iain, Hugil, Keith, Goodridge, Victoria, Cawthor, Louisa, Kuper, Martin, Pahary, Sheik, Bellingan, Geoffrey, Marshall, Richard, Montgomery, Hugh, Ryu, Jung Hyun, Bercades, Georgia, Boluda, Susan, Bentley, Andrew, Mccalman, Katie, Jefferies, Fiona, Allcock, Alice, Burnham, Katie, Davenport, Emma, Geoghegan, Cyndi, Knight, Julian, Maugeri, Narelle, Mi, Yuxin, Radhakrishnan, Jayachandran, Burnham, Katie L., Milind, Nikhil, Lee, Wanseon, Kwok, Andrew J., Cano-Gamez, Kiki, Geoghegan, Cyndi G., Zhang, Ping, Soranzo, Nicole, Hinds, Charles J., Knight, Julian C., Davenport, Emma E.

Publikováno v: In Cell Genomics 10 July 2024 4(7)

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