8 citations · 10 across the 12 of their papers we have counts for
12 papers
Network-Constrained Policy Optimization for Adaptive Multi-agent Vehicle Routing
Fazel Arasteh, Arian Haghparast, Manos Papagelis
Traffic congestion in urban road networks leads to longer trip times and higher emissions, especially during peak periods. While the Shortest Path First (SPF) algorithm is optimal…
TraceHiding: Scalable Machine Unlearning for Mobility Data
Ali Faraji, Manos Papagelis
This work introduces TraceHiding, a scalable, importance-aware machine unlearning framework for mobility trajectory data. Motivated by privacy regulations such as GDPR and CCPA gra…
GCN-TULHOR: Trajectory-User Linking Leveraging GCNs and Higher-Order Spatial Representations
Khoa Tran, Pranav Gupta, Manos Papagelis
Trajectory-user linking (TUL) aims to associate anonymized trajectories with the users who generated them, which is crucial for personalized recommendations, privacy-preserving ana…
TrajLearn: Trajectory Prediction Learning using Deep Generative Models
Amirhossein Nadiri, Jing Li, Ali Faraji +2
Trajectory prediction aims to estimate an entity's future path using its current position and historical movement data, benefiting fields like autonomous navigation, robotics, and…
PathletRL++: Optimizing Trajectory Pathlet Extraction and Dictionary Formation via Reinforcement Learning
Gian Alix, Arian Haghparast, Manos Papagelis
Advances in tracking technologies have spurred the rapid growth of large-scale trajectory data. Building a compact collection of pathlets, referred to as a trajectory pathlet dicti…
Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources
Ghazaleh Babanejaddehaki, Aijun An, Manos Papagelis
Infectious diseases occur when pathogens from other individuals or animals infect a person, resulting in harm to both individuals and society as a whole. The outbreak of such disea…
Knowledge-Aware Conversation Derailment Forecasting Using Graph Convolutional Networks
Enas Altarawneh, Ameeta Agrawal, Michael Jenkin +1
Online conversations are particularly susceptible to derailment, which can manifest itself in the form of toxic communication patterns including disrespectful comments and abuse. F…
LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates
Shaikh Quader, Andres Jaramillo, Sumona Mukhopadhyay +5
In a modern DBMS, working memory is frequently the limiting factor when processing in-memory analytic query operations such as joins, sorting, and aggregation. Existing resource es…
Predicting Evoked Emotions in Conversations
Enas Altarawneh, Ameeta Agrawal, Michael Jenkin +1
Understanding and predicting the emotional trajectory in multi-party multi-turn conversations is of great significance. Such information can be used, for example, to generate empat…
Conversation Derailment Forecasting with Graph Convolutional Networks
Enas Altarawneh, Ammeta Agrawal, Michael Jenkin +1
Online conversations are particularly susceptible to derailment, which can manifest itself in the form of toxic communication patterns like disrespectful comments or verbal abuse.…
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
Xing Zhao, Manos Papagelis, Aijun An +3
The bulk synchronous parallel (BSP) is a celebrated synchronization model for general-purpose parallel computing that has successfully been employed for distributed training of mac…
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings
Bao Xin Chen, Raghavender Sahdev, Dekun Wu +3
Scene Classification has been addressed with numerous techniques in computer vision literature. However, with the increasing number of scene classes in datasets in the field, it ha…