Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Chitsaz, Hamidreza"'
Background: The COVID-19 pandemic clock is ticking and the survival of many of mankind's modern institutions and or survival of many individuals is at stake. There is a need for treatments to significantly reduce the morbidity and mortality of COVID-
Externí odkaz:
http://arxiv.org/abs/2007.05859
RNA-RNA interaction (RRI) is ubiquitous and has complex roles in the cellular functions. In human health studies, miRNA-target and lncRNAs are among an elite class of RRIs that have been extensively studied. Bacterial ncRNA-target and RNA interferenc
Externí odkaz:
http://arxiv.org/abs/1904.01235
Despite great advances, molecular cancer pathology is often limited to the use of a small number of biomarkers rather than the whole transcriptome, partly due to computational challenges. Here, we introduce a novel architecture of Deep Neural Network
Externí odkaz:
http://arxiv.org/abs/1808.02237
Autor:
Abdolhosseini, Farzad, Azarkhalili, Behrooz, Maazallahi, Abbas, Kamal, Aryan, Motahari, Seyed Abolfazl, Sharifi-Zarchi, Ali, Chitsaz, Hamidreza
Understanding cell identity is an important task in many biomedical areas. Expression patterns of specific marker genes have been used to characterize some limited cell types, but exclusive markers are not available for many cell types. A second appr
Externí odkaz:
http://arxiv.org/abs/1806.04863
The area under the ROC curve (AUC) is a measure of interest in various machine learning and data mining applications. It has been widely used to evaluate classification performance on heavily imbalanced data. The kernelized AUC maximization machines
Externí odkaz:
http://arxiv.org/abs/1710.00760
Autor:
Amato, Nancy, Anderson, Charles, Chirikjian, Gregory, Chitsaz, Hamidreza, Desaraju, Vishnu, Ekenna, Chinwe, Hauser, Kris, Hollinger, Geoff, Iraji, Reza, Lee, Minwoo, Ma, Qianli, McCammon, Seth, Michael, Nathan, Thomas, Shawna, Uwacu, Diane, Yan, Yan
Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016)
Externí odkaz:
http://arxiv.org/abs/1610.02573
Bipartite ranking is a fundamental machine learning and data mining problem. It commonly concerns the maximization of the AUC metric. Recently, a number of studies have proposed online bipartite ranking algorithms to learn from massive streams of cla
Externí odkaz:
http://arxiv.org/abs/1607.00847
Autor:
Razavi, Seyed Basir Shariat, Tabrizi, Narjes Sadat Movahedi, Chitsaz, Hamidreza, Boucher, Christina
Motivation: Intimately tied to assembly quality is the complexity of the de Bruijn graph built by the assembler. Thus, there have been many paradigms developed to decrease the complexity of the de Bruijn graph. One obvious combinatorial paradigm for
Externí odkaz:
http://arxiv.org/abs/1408.5592
Autor:
Iraji, Reza, Chitsaz, Hamidreza
Motion planning has been studied for nearly four decades now. Complete, combinatorial motion planning approaches are theoretically well-rooted with completeness guarantees but they are hard to implement. Sampling-based and heuristic methods are easy
Externí odkaz:
http://arxiv.org/abs/1403.5384
Autor:
Aladren, Aitor, Bodiroza, Sasa, Chitsaz, Hamidreza, Guerrero, J. J., Hafner, Verena, Hauser, Kris, Jevtic, Aleksandar, Kazemi, Moslem, Lara, Bruno, Lopez-Nicolas, Gonzalo, Neubert, Peer, Protzel, Peter, Riek, Laurel D., Sunderhauf, Niko, Yap, Chee
Proceedings of the 1st Workshop on Robotics Challenges and Vision (RCV2013)
Comment: http://compbio.cs.wayne.edu/robotics/rcv2013/proceedings-emb.pdf
Comment: http://compbio.cs.wayne.edu/robotics/rcv2013/proceedings-emb.pdf
Externí odkaz:
http://arxiv.org/abs/1402.3213