4 citations · 4 across the 6 of their papers we have counts for
6 papers
Robust Feasible Route Construction through Collaborative Partition Optimization
Oguzhan Karaahmetoglu, Hyong Kim
Large-scale Capacitated Vehicle Routing Problems (CVRPs) are commonly solved by partitioning customers into smaller routing problems that can be optimized independently. While this…
Adaptive Cluster-First Route-Second Decomposition for Industrial-Scale Vehicle Routing
Oguzhan Karaahmetoglu, Hyong Kim
Large-scale capacitated vehicle routing problems (CVRPs) are commonly addressed using cluster-first route-second (CFRS) approaches that split a routing instance into smaller, compu…
Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments
Fatih Ilhan, Oguzhan Karaahmetoglu, Ismail Balaban +1
We investigate nonlinear regression for nonstationary sequential data. In most real-life applications such as business domains including finance, retail, energy and economy, timese…
Spatio-temporal Sequence Prediction with Point Processes and Self-organizing Decision Trees
Oguzhan Karaahmetoglu, Suleyman S. Kozat
We study the spatio-temporal prediction problem and introduce a novel point-process-based prediction algorithm. Spatio-temporal prediction is extensively studied in Machine Learnin…
Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks
Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban +1
We study anomaly detection and introduce an algorithm that processes variable length, irregularly sampled sequences or sequences with missing values. Our algorithm is fully unsuper…
Prediction with Spatio-temporal Point Processes with Self Organizing Decision Trees
Oguzhan Karaahmetoglu, Suleyman Serdar Kozat
We study the spatio-temporal prediction problem, which has attracted the attention of many researchers due to its critical real-life applications. In particular, we introduce a nov…