Bijaya Adhikari

According to our database, Bijaya Adhikari authored at least 33 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Cad2graph: Automated Extraction of Spatial Graphs from Architectural Drawings.

Pratik Maitra, Masahiro Kiji, Talal Riaz, Philip M. Polgreen, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.

Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications.

Akash Choudhuri, Hankyu Jang, Alberto M. Segre, Philip M. Polgreen, Kishlay Jha, Bijaya Adhikari

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

EINNs: Epidemiologically-Informed Neural Networks.

Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Detecting Sources of Healthcare Associated Infections.

Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Risk-aware temporal cascade reconstruction to detect asymptomatic cases.

Hankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju

Knowl. Inf. Syst., 2022

epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.

Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Near-Optimal Spectral Disease Mitigation in Healthcare Facilities.

Masahiro Kiji, D. M. Hasibul Hasan, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari

Proceedings of the IEEE International Conference on Data Mining, 2022

Dynamic Healthcare Embeddings for Improving Patient Care.

Hankyu Jang, Sulyun Lee, D. M. Hasibul Hasan, Philip M. Polgreen, Sriram V. Pemmaraju, Bijaya Adhikari

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Incorporating Expert Guidance in Epidemic Forecasting.

Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash

CoRR, 2021

The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021).

Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Modeling and Evaluation of Clustering Patient Care into Bubbles.

D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases : For the CDC MInD Healthcare Network.

Hankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju

Proceedings of the IEEE International Conference on Data Mining, 2021

DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting.

Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19.

Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Finding Needles in Heterogeneous Haystacks.

Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

NetReAct: Interactive Learning for Network Summarization.

Sorour E. Amiri, Bijaya Adhikari, John E. Wenskovitch, Alexander Rodríguez, Michelle Dowling, Chris North, B. Aditya Prakash

CoRR, 2020

Mapping Network States using Connectivity Queries.

Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Designing Effective and Practical Interventions to Contain Epidemics.

Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Fast and near-optimal monitoring for healthcare acquired infection outbreaks.

Bijaya Adhikari, Bryan L. Lewis, Anil Vullikanti, José M. Jiménez, B. Aditya Prakash

PLoS Comput. Biol., 2019

EpiDeep: Exploiting Embeddings for Epidemic Forecasting.

Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Propagation-Based Temporal Network Summarization.

Bijaya Adhikari, Yao Zhang, Sorour E. Amiri, Aditya Bharadwaj, B. Aditya Prakash

IEEE Trans. Knowl. Data Eng., 2018

Mining E-Commerce Query Relations using Customer Interaction Networks.

Bijaya Adhikari, Parikshit Sondhi, Wenke Zhang, Mohit Sharma, B. Aditya Prakash

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Near-Optimal Mapping of Network States using Probes.

Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, Anil Vullikanti

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Sub2Vec: Feature Learning for Subgraphs.

Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

DeepDiffuse: Predicting the 'Who' and 'When' in Cascades.

Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan

Proceedings of the IEEE International Conference on Data Mining, 2018

NetGist: Learning to Generate Task-Based Network Summaries.

Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, B. Aditya Prakash

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Distributed Representation of Subgraphs.

Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash

CoRR, 2017

MeiKe: Influence-based Communities in Networks.

Yao Zhang, Bijaya Adhikari, Steve T. K. Jan, B. Aditya Prakash

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Condensing Temporal Networks using Propagation.

Bijaya Adhikari, Yao Zhang, Aditya Bharadwaj, B. Aditya Prakash

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Distributed Representations of Subgraphs.

Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2014

Analysis of MultiLayer Neural Networks with Direct and Cross Forward Connection.

Stanislaw Placzek, Bijaya Adhikari

Fundam. Informaticae, 2014

Coordination Algorithm in Hierarchical Structure of the Learning Process of Artificial Neural Network.

Stanislaw Placzek, Bijaya Adhikari

Proceedings of the 23th International Workshop on Concurrency, Specification and Programming, Chemnitz, Germany, September 29, 2014