most citedSemantic Enrichment of Mobile Phone Data Records Using Background Knowledge

14 citations · 15 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2023

Explorative analysis of human disease-symptoms relations using the Convolutional Neural Network

Zolzaya Dashdorj, Stanislav Grigorev, Munguntsatsral Dovdondash

In the field of health-care and bio-medical research, understanding the relationship between the symptoms of diseases is crucial for early diagnosis and determining hidden relation…

cs.CL2023★ 1 cited

Deep learning model for Mongolian Citizens Feedback Analysis using Word Vector Embeddings

Zolzaya Dashdorj, Tsetsentsengel Munkhbayar, Stanislav Grigorev

A large amount of feedback was collected over the years. Many feedback analysis models have been developed focusing on the English language. Recognizing the concept of feedback is…

cs.SI2015

Characterization of behavioral patterns exploiting description of geographical areas

Zolzaya Dashdorj, Stanislav Sobolevsky

The enormous amount of recently available mobile phone data is providing unprecedented direct measurements of human behavior. Early recognition and prediction of behavioral pattern…

cs.SI2015

Impact of the spatial context on human communication activity

Zolzaya Dashdorj, Stanislav Sobolevsky

Technology development produces terabytes of data generated by hu- man activity in space and time. This enormous amount of data often called big data becomes crucial for delivering…

cs.AI2015★ 14 cited

Semantic Enrichment of Mobile Phone Data Records Using Background Knowledge

Zolzaya Dashdorj, Stanislav Sobolevsky, Luciano Serafini +2

Every day, billions of mobile network events (i.e. CDRs) are generated by cellular phone operator companies. Latent in this data are inspiring insights about human actions and beha…