Mandana Saebi

11 papers A 1B 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2022 J jnl
Heterogeneous relational reasoning in knowledge graphs with reinforcement learning.
Inf. Fusion
Mandana Saebi, Steven Kreig, Chuxu Zhang, Meng Jiang, Tomasz Kajdanowicz, Nitesh V. Chawla
2021 A conf
A Discriminative Entity-Aware Language Model for Virtual Assistants.
Interspeech
Mandana Saebi, Ernest Pusateri, Aaksha Meghawat, Christophe Van Gysel
2021 J jnl
A Discriminative Entity-Aware Language Model for Virtual Assistants.
CoRR
Mandana Saebi, Ernest Pusateri, Aaksha Meghawat, Christophe Van Gysel
2020 J jnl
Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection.
EPJ Data Sci.
Mandana Saebi, Jian Xu, Lance M. Kaplan, Bruno Ribeiro, Nitesh V. Chawla
2020 — conf
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases.
EMNLP (Findings)
Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla
2020 J jnl
HONEM: Learning Embedding for Higher Order Networks.
Big Data
Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla
2020 J jnl
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning.
CoRR
Mandana Saebi, Steven J. Krieg, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
2019 J jnl
HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data.
CoRR
Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla
2017 B conf
A Minimum-Cost Flow Model for Workload Optimization on Cloud Infrastructure.
CLOUD
Frederick Nwanganga, Mandana Saebi, Gregory R. Madey, Nitesh V. Chawla
2017 J jnl
A Minimum-Cost Flow Model for Workload Optimization on Cloud Infrastructure.
CoRR
Frederick Nwanganga, Mandana Saebi, Gregory R. Madey, Nitesh V. Chawla
2017 J jnl
Detecting Anomalies in Sequential Data with Higher-order Networks.
CoRR
Jian Xu, Mandana Saebi, Bruno Ribeiro, Lance M. Kaplan, Nitesh V. Chawla