Bijaya Adhikari

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 39

Top Topics

Data Mining And Knowledge Discovery

Knowledge Discovery

Top Venues

Publications

Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash
epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD (2024)
Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari
Efficient and Effective Implicit Dynamic Graph Neural Network. KDD (2024)
Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari
Efficient and Effective Implicit Dynamic Graph Neural Network. CoRR (2024)
Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD (2023)
Pratik Maitra, Masahiro Kiji, Talal Riaz, Philip M. Polgreen, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari
Cad2graph: Automated Extraction of Spatial Graphs from Architectural Drawings. ECML/PKDD (7) (2023)
Hankyu Jang, Sulyun Lee, D. M. Hasibul Hasan, Philip M. Polgreen, Sriram V. Pemmaraju, Bijaya Adhikari
Dynamic Healthcare Embeddings for Improving Patient Care. CoRR (2023)
Akash Choudhuri, Hankyu Jang, Alberto M. Segre, Philip M. Polgreen, Kishlay Jha, Bijaya Adhikari
Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications. CIKM (2023)
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash
EINNs: Epidemiologically-Informed Neural Networks. AAAI (2023)
Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju
Detecting Sources of Healthcare Associated Infections. AAAI (2023)
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash
EINNs: Epidemiologically-Informed Neural Networks. CoRR (2022)
Hankyu Jang, Sulyun Lee, D. M. Hasibul Hasan, Philip M. Polgreen, Sriram V. Pemmaraju, Bijaya Adhikari
Dynamic Healthcare Embeddings for Improving Patient Care. ASONAM (2022)
Masahiro Kiji, D. M. Hasibul Hasan, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari
Near-Optimal Spectral Disease Mitigation in Healthcare Facilities. ICDM (2022)
Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD (2022)
Hankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju
Risk-aware temporal cascade reconstruction to detect asymptomatic cases. Knowl. Inf. Syst. 64 (12) (2022)
D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju
Modeling and Evaluation of Clustering Patient Care into Bubbles. CoRR (2021)
D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju
Modeling and Evaluation of Clustering Patient Care into Bubbles. ICHI (2021)
Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash
The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). KDD (2021)
Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. AAAI (2021)
Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash
Incorporating Expert Guidance in Epidemic Forecasting. CoRR (2021)
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. AAAI (2021)
Hankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju
Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases : For the CDC MInD Healthcare Network. ICDM (2021)
Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian
Finding Needles in Heterogeneous Haystacks. AAAI (2021)
Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
Mapping Network States Using Connectivity Queries. CoRR (2020)
Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
Mapping Network States using Connectivity Queries. IEEE BigData (2020)
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. CoRR (2020)
Sorour E. Amiri, Bijaya Adhikari, John E. Wenskovitch, Alexander Rodríguez, Michelle Dowling, Chris North, B. Aditya Prakash
NetReAct: Interactive Learning for Network Summarization. CoRR (2020)
Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti
Designing Effective and Practical Interventions to Contain Epidemics. AAMAS (2020)
Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash
EpiDeep: Exploiting Embeddings for Epidemic Forecasting. KDD (2019)
Bijaya Adhikari, Bryan L. Lewis, Anil Vullikanti, José M. Jiménez, B. Aditya Prakash
Fast and near-optimal monitoring for healthcare acquired infection outbreaks. PLoS Comput. Biol. 15 (9) (2019)
Bijaya Adhikari, Yao Zhang, Sorour E. Amiri, Aditya Bharadwaj, B. Aditya Prakash
Propagation-Based Temporal Network Summarization. IEEE Trans. Knowl. Data Eng. 30 (4) (2018)
Bijaya Adhikari, Parikshit Sondhi, Wenke Zhang, Mohit Sharma, B. Aditya Prakash
Mining E-Commerce Query Relations using Customer Interaction Networks. WWW (2018)
Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, B. Aditya Prakash
NetGist: Learning to Generate Task-Based Network Summaries. ICDM (2018)
Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. ICDM (2018)
Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash
Sub2Vec: Feature Learning for Subgraphs. PAKDD (2) (2018)
Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, Anil Vullikanti
Near-Optimal Mapping of Network States using Probes. SDM (2018)
Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash
Distributed Representations of Subgraphs. ICDM Workshops (2017)
Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash
Distributed Representation of Subgraphs. CoRR (2017)
Bijaya Adhikari, Yao Zhang, Aditya Bharadwaj, B. Aditya Prakash
Condensing Temporal Networks using Propagation. SDM (2017)
Yao Zhang, Bijaya Adhikari, Steve T. K. Jan, B. Aditya Prakash
MeiKe: Influence-based Communities in Networks. SDM (2017)
Stanislaw Placzek, Bijaya Adhikari
Coordination Algorithm in Hierarchical Structure of the Learning Process of Artificial Neural Network. CS&P (2014)
Stanislaw Placzek, Bijaya Adhikari
Analysis of MultiLayer Neural Networks with Direct and Cross Forward Connection. Fundam. Informaticae 133 (2-3) (2014)
Stanislaw Placzek, Bijaya Adhikari
Analysis of Multilayer Neural Networks with Direct and Cross-Forward Connection. CS&P (2013)