2 citations · 3 across the 2 of their papers we have counts for
9 papers
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning
Soheil Esmaeilzadeh, Negin Salajegheh, Amir Ziai +1
This work presents a fraud and abuse detection framework for streaming services by modeling user streaming behavior. The goal is to discover anomalous and suspicious incidents and…
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli +6
We propose MeshfreeFlowNet, a novel deep learning-based super-resolution framework to generate continuous (grid-free) spatio-temporal solutions from the low-resolution inputs. Whil…
Active Cloaking in Stokes Flows via Reinforcement Learning
Mehdi Mirzakhanloo, Soheil Esmaeilzadeh, Mohammad-Reza Alam
Hydrodynamic signatures at the Stokes regime, pertinent to motility of micro-swimmers, have a long-range nature. This implies that movements of an object in such a viscosity-domina…
A General Spatio-Temporal Clustering-Based Non-local Formulation for Multiscale Modeling of Compartmentalized Reservoirs
Soheil Esmaeilzadeh, Amir Salehi, Gill Hetz +3
Representing the reservoir as a network of discrete compartments with neighbor and non-neighbor connections is a fast, yet accurate method for analyzing oil and gas reservoirs. Aut…
Neural Abstractive Text Summarization and Fake News Detection
Soheil Esmaeilzadeh, Gao Xian Peh, Angela Xu
In this work, we study abstractive text summarization by exploring different models such as LSTM-encoder-decoder with attention, pointer-generator networks, coverage mechanisms, an…
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification
Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl +1
As shown in computer vision, the power of deep learning lies in automatically learning relevant and powerful features for any perdition task, which is made possible through end-to-…