Law of error in Tsallis statistics H Suyari, M Tsukada IEEE Transactions on Information Theory 51 (2), 753-757, 2005 | 135* | 2005 |
Generalization of Shannon-Khinchin axioms to nonextensive systems and the uniqueness theorem for the nonextensive entropy H Suyari IEEE Transactions on Information Theory 50 (8), 1783-1787, 2004 | 108 | 2004 |
Mathematical structures derived from the q-multinomial coefficient in Tsallis statistics H Suyari Physica A: Statistical Mechanics and its Applications 368 (1), 63-82, 2006 | 99 | 2006 |
A deep convolutional neural network with performance comparable to radiologists for differentiating between spinal schwannoma and meningioma S Maki, T Furuya, T Horikoshi, H Yokota, Y Mori, J Ota, Y Kawasaki, ... Spine 45 (10), 694-700, 2020 | 51 | 2020 |
A two-parameter generalization of Shannon–Khinchin axioms and the uniqueness theorem T Wada, H Suyari Physics Letters A 368 (3-4), 199-205, 2007 | 48 | 2007 |
κ-generalization of Gauss' law of error T Wada, H Suyari Physics Letters A 348 (3-6), 89-93, 2006 | 41 | 2006 |
Multiplicative duality, q-triplet and (μ, ν, q)-relation derived from the one-to-one correspondence between the (μ, ν)-multinomial coefficient and Tsallis entropy Sq H Suyari, T Wada Physica A: Statistical Mechanics and its Applications 387 (1), 71-83, 2008 | 26 | 2008 |
Nonextensive entropies derived from form invariance of pseudoadditivity H Suyari Physical Review E 65 (6), 066118, 2002 | 26 | 2002 |
On the most concise set of axioms and the uniqueness theorem for Tsallis entropy H Suyari Journal of Physics A: Mathematical and General 35 (50), 10731, 2002 | 25 | 2002 |
Characterization of quantum teleportation processes by nonlinear quantum channel and quantum mutual entropy K Inoue, M Ohya, H Suyari Physica D: Nonlinear Phenomena 120 (1-2), 117-124, 1998 | 23 | 1998 |
q-Stirling's formula in Tsallis statistics H Suyari arXiv preprint cond-mat/0401541, 2004 | 22 | 2004 |
Computation of mutual entropy in quantum Markov chains L Accardi, M Ohya, H Suyari Open Systems & Information Dynamics 2 (3), 337-354, 1994 | 20 | 1994 |
Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer Y Mori, H Yokota, I Hoshino, Y Iwatate, K Wakamatsu, T Uno, H Suyari Scientific Reports 11 (1), 16521, 2021 | 19 | 2021 |
An application of lifting theory to optical communication processes M Ohya, H Suyari Reports on Mathematical Physics 36 (2-3), 403-420, 1995 | 16 | 1995 |
Multidimensional deep learning reduces false-positives in the automated detection of cerebral aneurysms on time-of-flight magnetic resonance angiography: a multi-center study Y Terasaki, H Yokota, K Tashiro, T Maejima, T Takeuchi, R Kurosawa, ... Frontiers in Neurology 12, 742126, 2022 | 14 | 2022 |
Mathematical structures derived from the q-product uniquely determined by Tsallis entropy H Suyari, M Tsukada, Y Uesaka Proceedings. International Symposium on Information Theory, 2005. ISIT 2005 …, 2005 | 14 | 2005 |
Development of attenuation correction methods using deep learning in brain‐perfusion single‐photon emission computed tomography T Murata, H Yokota, R Yamato, T Horikoshi, M Tsuneda, R Kurosawa, ... Medical Physics 48 (8), 4177-4190, 2021 | 13 | 2021 |
Scaling property and the generalized entropy uniquely determined by a fundamental nonlinear differential equation H Suyari, T Wada arXiv preprint cond-mat/0608007, 2006 | 12 | 2006 |
Tsallis entropy as a lower bound of average description length for the q-generalized code tree H Suyari 2007 IEEE International Symposium on Information Theory, 901-905, 2007 | 10 | 2007 |
The q-gamma and (q, q)-polygamma functions of Tsallis statistics RK Niven, H Suyari Physica A: Statistical Mechanics and its Applications 388 (19), 4045-4060, 2009 | 9 | 2009 |