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Counterfactual explanations (CFEs) guide users on how to adjust inputs to machine learning models to achieve desired outputs. While existing research primarily addresses static scenarios, real-world applications often involve data or model changes, p
Externí odkaz:
http://arxiv.org/abs/2408.04842
Recent advancements in machine learning have accelerated its widespread adoption across various real-world applications. However, in safety-critical domains, the deployment of machine learning models is riddled with challenges due to their complexity
Externí odkaz:
http://arxiv.org/abs/2408.00986
Akademický článek
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Publikováno v:
International Journal of Applied Mathematics and Computer Science 34 1 (2024) 119-133
Counterfactuals are widely used to explain ML model predictions by providing alternative scenarios for obtaining the more desired predictions. They can be generated by a variety of methods that optimize different, sometimes conflicting, quality measu
Externí odkaz:
http://arxiv.org/abs/2403.13940
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 1, Pp 36-42 (2024)
Abstract Animal phenotypic traits are utilised in a variety of studies. Often the traits are measured from images. The processing of a large number of images can be challenging; nevertheless, image analytical applications, based on neural networks, c
Externí odkaz:
https://doaj.org/article/ae80de3bd1714a39a7385b49b1470129
Autor:
Thomas, Billy, Elhassan, Nahed, Mulkey, Sarah, Dydynski, Philip, Vijayamadhavan, Vivek K., Mulrooney, Neil, Yoder, Bradley, Kase, Jordan S., Check, Jennifer, Gogcu, Semsa, Osterholm, Erin, Ramel, Sara, Bendel, Catherine, Gale, Cheryl, George, Thomas, Georgieff, Michael, Gisslen, Tate, Guiang, Sixto, III, Hall, Anne, Johnson, Dana, Pfister, Katie, Podgorski, Heather, Roberts, Kari, Stepka, Erin, Engel, Melissa, Kamrath, Heidi, Scheurer, Johannah, Hanson, Angela, Satrom, Katherine, Pfister, Susan, Simones, Ann, Plummer, Erin, Zorn, Elizabeth, Martin, Camilia R., O’Reilly, Deirdre, Porta, Nicolas, Bazacliu, Catalina, Williams, Jonathan, Rajderkar, Dhanashree, Northington, Frances, Valdez, Raul Chavez, Beauman, Sandra, Saurabhkumar, Patel, Diaz-Barbosa, Magaly, Serize, Arturo, Jordan, Jorge, Ott, Debbie, Mora, Ariana Franco, Hedrick, Pamela, Flynn, Vicki, Silvia, Amy, Clopp, Bailey, Feltner, John B., Esposito, Isabella, Hauge, Stephanie, Nikirk, Samantha, Purnell, Andrea, Loy, Emilie, Sikes, Natalie, Mason, Melanie, McConnell, Jana, Brown, Tiffany, Harrison, Henry, Pearson, Denise, Drake, Tammy, Wright, Jocelyn, Walden, Debra, Guy, Annette, Nason, Jennifer, Talbot, Morgan, Lee, Kristen, Penny, Sarah, Boles, Terri, Drummond, Melanie, Kohlleppel, Katy, Kathen, Charmaine, Kaletka, Brian, Gonzales, Shania, Worwa, Cathy, Fisher, Molly, Richter, Tyler, Ginder, Alexander, Reich, Brixen, Rau, Carrie, Loertscher, Manndi, Bledsoe, Laura, McGrath, Kandace, Lewis, Kimberlee Weaver, Burnett, Jill, Schaefer, Susan, Bird, Karie, Giblin, Clare, Daly, Rita, Lanier, Kristi, Warden, Kelly, Wassenaar, Jenna, Ericksen, Jensina, Davern, Bridget, Osborne, Mary Pat, Gregorich, Brittany, Talele, Neha, Obregon, Evelyn, Ziyeh, Tiglath, Clarke, Molly, Wegner, Rachel E., Patel, Palak, Schau, Molly, Russow, Annamarie, Curry, Kelly, Sinnamon, Susan, Barnhart, Lisa, Parkinson, Charlamaine, Hanson, Mary, Kuan, Elizabeth, Lacy, Conra Backstrom, Galvis, Edshelee M., Bombino, Susana, Martinez, Denise, Bell, Suzi, Long, Corrie, Longa, Cathy, Westerveld, Michael, McConkey, Stacy, Hay, Anne, Natarajan, Niranjana, Gaudette, Shari, Cobb, Sarah, Sharp, Gregory, Schumacher, Elizabeth, Schuschke, Leslie, Frey, Charlotte, Fierro, Mario, Gilmore, Lois, Lundequam, Pamela, Hoekstra, Ronald, Ketko, Anastasia, Perdue, Nina, Cunningham, Sean, Stout, Kelly, Hall, Becky, Morshedzadeh, Galina, Ostrander, Betsy, Winter, Sarah, Cox, Lauren, Rainaldi, Matthew A., Hensley, Sarah, Morris, Melissa, Roberts, Dia, Tuttle, Melissa, Boys, Christopher, Hultgren, Solveig, Pierpont, Elizabeth I., Fahim, Nancy, George, Tom, King, Kelly E., Bataglia, Katherine, Neis, Cathy, Bergeron, Mark, Miller, Cristina, Accomando, Cara, Gavin, Jennifer Anne, Maczek, Elizabeth, Marakovitz, Susan, Knorr, Aimee, Smith, Vincent C., Stewart, Jane E., Weissbourd, Marie, deRegnier, Raye-Ann, Matoba, Nana, Heaton, Shelly C., Cascio, Erika M., Brady, Janet, Ghosh, Suman, Ditto, Jessica, Leppert, Mary, Lowe, Jean, Fuller, Janell, DuPont, Tara, Ohls, Robin, Kloska, Pamela, Patel, Saurabh, Carbonell, Lauren, Patino-Fernandez, Anna Maria, de Lerma, Carmen, McDonough, Kelly, De Cortada, Maiana, Chavis, Lacy, Shannon, Jane, Hingorani, Sangeeta R., Schmicker, Robert H., Halloran, Brian, Brophy, Patrick, Heagerty, Patrick J., Juul, Sandra, Goldstein, Stuart L., Askenazi, David
Publikováno v:
In American Journal of Kidney Diseases April 2024 83(4):497-507
Autor:
Maciej Stępka
This open access book investigates the complexity and the modalities of securitization of migration and border control at the EU level. It discusses and compares how different EU institutions and agencies have been deploying different logics of secur
Autor:
STĘPKA, Maciej
Publikováno v:
Politeja, 2022 Jan 01(79), 151-165.
Externí odkaz:
https://www.jstor.org/stable/27193573
Autor:
Krefta, SM, Hess, AF, Atanazio, KA, Da Silveira, AC, Schorr, LPB, Borsoi, GA, Costa, EA, Klein, DR, Stepka, TF
Publikováno v:
Journal of Tropical Forest Science, 2021 Oct 01. 33(4), 406-413.
Externí odkaz:
https://www.jstor.org/stable/48628063