Adita Kulkarni

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Conditional Random Fields

Video Streaming

Top Venues

ACM Southeast Regional Conference

Publications

Ajay Bhattacharyya, Adita Kulkarni
Machine Learning-Based Detection and Categorization of Malicious Accounts on Social Media. HCI (20) (2024)
Eric Owusu, Adita Kulkarni, Brittani S. Washington
Analyzing Students' Perspective for Using Computer-Mediated Communication Tools for Group Collaboration in Higher Education. HCI (30) (2023)
Matthew Morgan, Adita Kulkarni
Analyzing User Communication on Mainstream and Alternative Social Media Platforms Using Natural Language Processing: A Case Study on the COVID-19 Pandemic. HCI (16) (2023)
Venicius Gonçalves Da Rocha Junior, Adita Kulkarni, Antônio A. de A. Rocha
Classifying Customer Complaints of a Large Fixed Broadband Service Provider using Machine Learning. IWCMC (2023)
Douglas Cuba, Adita Kulkarni, Antônio A. de A. Rocha
Predicting Customer Quality of Service for a Large Fixed Broadband Service Provider. IWCMC (2023)
Matthew Morgan, Adita Kulkarni
Platform-agnostic Model to Detect Sinophobia on Social Media. ACM Southeast Regional Conference (2023)
Raushan Raj, Adita Kulkarni, Anand Seetharam, Arti Ramesh
Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields. CCNC (2021)
Adita Kulkarni, Anand Seetharam
QoE-aware Video Streaming in Heterogeneous Cellular Networks. CCNC (2021)
Raushan Raj, Adita Kulkarni, Anand Seetharam, Arti Ramesh, Antônio A. de A. Rocha
Analyzing Aggregate User Behavior on a Large Multi-platform Content Distribution Service. ADHOCNETS/TRIDENTCOM (2021)
Adita Kulkarni, Anand Seetharam
QoE-aware Assignment and Scheduling of Video Streams in Heterogeneous Cellular Networks. INFOCOM Workshops (2021)
Adita Kulkarni, Anand Seetharam
Model-Based and Machine Learning Approaches for Designing Caching and Routing Algorithms. ADHOCNETS (2020)
Adita Kulkarni, Anand Seetharam, Arti Ramesh, J. Dinal Herath
DeepChannel: Wireless Channel Quality Prediction Using Deep Learning. IEEE Trans. Veh. Technol. 69 (1) (2020)
Adita Kulkarni, Anand Seetharam
Model and Machine Learning based Caching and Routing Algorithms for Cache-enabled Networks. CoRR (2020)
Gissella Bejarano, Adita Kulkarni, Xianzhi Luo, Anand Seetharam, Arti Ramesh
DeepER: A Deep Learning based Emergency Resolution Time Prediction System. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2020)
Gissella Bejarano, Adita Kulkarni, Raushan Raushan, Anand Seetharam, Arti Ramesh
SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction. BuildSys@SenSys (2019)
Adita Kulkarni, Anand Seetharam
QuickR: A Novel Routing Strategy for Wireless Mobile Information-centric Networks. IPCCC (2019)
Adita Kulkarni, Anand Seetharam, Arti Ramesh
DeepFit: deep learning based fitness center equipment use modeling and prediction. MobiQuitous (2019)
Adita Kulkarni, Anand Seetharam
Evaluating the benefits of caching and stateless forwarding in mobile information-centric networks. ANCS (2018)
Bitan Banerjee, Adita Kulkarni, Anand Seetharam
Greedy Caching: An optimized content placement strategy for information-centric networks. Comput. Networks 140 (2018)
Adita Kulkarni, Anand Seetharam
Exploiting Correlations in Request Streams: A Case for Hybrid Caching in Cache Networks. LCN (2018)