output
19992026
most citedDipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks

500 citations

Showing 2021Show all

8 papers · 1 filter

cond-mat.str-el2021★ 26 cited

Unusual magnetic and transport properties in HoMnSn kagome magnet

Firoza Kabir, Randall Filippone, Gyanendra Dhakal +11

With intricate lattice structures, kagome materials are an excellent platform to study various fascinating topological quantum states. In particular, kagome materials, revealing la…

cond-mat.mes-hall2021★ 67 cited

Anisotropically large anomalous and topological Hall effect in a kagome magnet

Gyanendra Dhakal, Fairoja Cheenicode Kabeer, Arjun K. Pathak +12

Recently, kagome materials have become an engrossing platform to study the interplay among symmetry, magnetism, topology, and electron correlation. The latest works on RMn6Sn6 (R =…

cs.SI2021★ 18 cited

Temporal Motifs in Patent Opposition and Collaboration Networks

Penghang Liu, Naoki Masuda, Tomomi Kito +1

Patents are intellectual properties that reflect innovative activities of companies and organizations. The literature is rich with the studies that analyze the citations among the…

math.OC2021★ 5 cited

Convex relaxations of integral variational problems: pointwise dual relaxation and sum-of-squares optimization

Alexander Chernyavsky, Jason J. Bramburger, Giovanni Fantuzzi +1

We present a method for finding lower bounds on the global infima of integral variational problems, wherein is minimized over functions $u\col…

eess.AS2021★ 10 cited

Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring

Yaman Kumar Singla, Avykat Gupta, Shaurya Bagga +3

Automatic Speech Scoring (ASS) is the computer-assisted evaluation of a candidate's speaking proficiency in a language. ASS systems face many challenges like open grammar, variable…

cs.LG2021★ 3 cited

Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization

Chunwei Ma, Ziyun Huang, Jiayi Xian +2

Deep Neural Networks (DNNs), despite their tremendous success in recent years, could still cast doubts on their predictions due to the intrinsic uncertainty associated with their l…