Browsing byAuthorRamakrishnan, N

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Showing results 1 to 10 of 10
Issue DateTitleAuthor(s)
2021-01-01A Multi-task Kernel Learning Algorithm for Survival AnalysisMeng, Z; Xu, J; Li, Z; Wang, Y; Chen, F; Wang, Z; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T
2021-01-01Adaptive Graph Co-Attention Networks for Traffic ForecastingLi, B; Guo, T; Wang, Y; Gandomi, AH; Chen, F; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T
2022-12-23Channel Simulation: Finite Blocklengths and Broadcast ChannelsCao, MX; Ramakrishnan, N; Berta, M; Tomamichel, M
2008-01Domain Driven Data Mining (D3M)Cao, L; Bonchi, F; Berendt, B; Giannotti, F; Gunopulos, D; Turini, F; Zaniolo, C; Ramakrishnan, N; Wu, X
2021-01-01Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy PredictionZheng, Y; Lee, VCS; Wu, Z; Pan, S; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T
2021-01-01Learning Discriminative Features Using Multi-label Dual SpaceBraytee, A; Liu, W; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T
2021-01-01Manifold Approximation and Projection by Maximizing Graph InformationFatemi, B; Molaei, S; Zare, H; Pan, S; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T
2021-12-14Moderate deviation expansion for fully quantum tasksRamakrishnan, N; Tomamichel, M; Berta, M
2022-01-01One-Shot Point-to-Point Channel SimulationCao, MX; Ramakrishnan, N; Berta, M; Tomamichel, M
2021-01-01Weak Supervision Network Embedding for Constrained Graph LearningGuo, T; Zhu, X; Wang, Y; Chen, F; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T