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Bijaya Adhikari
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2020 – today
- 2024
- [i9]Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari:
Efficient and Effective Implicit Dynamic Graph Neural Network. CoRR abs/2406.17894 (2024) - 2023
- [c27]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: 4347-4355 - [c26]Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash:
EINNs: Epidemiologically-Informed Neural Networks. AAAI 2023: 14453-14460 - [c25]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: 4538-4544 - [c24]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: 5847-5848 - [c23]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: 315-319 - [i8]Hankyu Jang, Sulyun Lee, D. M. Hasibul Hasan, Philip M. Polgreen
, Sriram V. Pemmaraju, Bijaya Adhikari:
Dynamic Healthcare Embeddings for Improving Patient Care. CoRR abs/2303.11563 (2023) - 2022
- [j4]Hankyu Jang
, Shreyas Pai
, Bijaya Adhikari
, Sriram V. Pemmaraju
:
Risk-aware temporal cascade reconstruction to detect asymptomatic cases. Knowl. Inf. Syst. 64(12): 3373-3399 (2022) - [c22]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: 52-59 - [c21]Masahiro Kiji, D. M. Hasibul Hasan, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari:
Near-Optimal Spectral Disease Mitigation in Healthcare Facilities. ICDM 2022: 999-1004 - [c20]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: 4850-4851 - [i7]Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash:
EINNs: Epidemiologically-Informed Neural Networks. CoRR abs/2202.10446 (2022) - 2021
- [c19]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: 4855-4863 - [c18]Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian:
Finding Needles in Heterogeneous Haystacks. AAAI 2021: 15232-15239 - [c17]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: 15393-15400 - [c16]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: 240-249 - [c15]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: 73-82 - [c14]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: 4104-4105 - [i6]Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash:
Incorporating Expert Guidance in Epidemic Forecasting. CoRR abs/2101.10247 (2021) - [i5]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 abs/2105.06278 (2021) - 2020
- [b1]Bijaya Adhikari:
Domain-based Frameworks and Embeddings for Dynamics over Networks. Virginia Tech, Blacksburg, VA, USA, 2020 - [c13]Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti:
Designing Effective and Practical Interventions to Contain Epidemics. AAMAS 2020: 1187-1195 - [c12]Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash:
Mapping Network States using Connectivity Queries. IEEE BigData 2020: 778-787 - [i4]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 abs/2009.11407 (2020) - [i3]Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash:
Mapping Network States Using Connectivity Queries. CoRR abs/2012.03413 (2020) - [i2]Sorour E. Amiri, Bijaya Adhikari, John E. Wenskovitch, Alexander Rodríguez, Michelle Dowling, Chris North, B. Aditya Prakash:
NetReAct: Interactive Learning for Network Summarization. CoRR abs/2012.11821 (2020)
2010 – 2019
- 2019
- [j3]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) - [c11]Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan
, B. Aditya Prakash:
EpiDeep: Exploiting Embeddings for Epidemic Forecasting. KDD 2019: 577-586 - 2018
- [j2]Bijaya Adhikari
, Yao Zhang
, Sorour E. Amiri
, Aditya Bharadwaj
, B. Aditya Prakash:
Propagation-Based Temporal Network Summarization. IEEE Trans. Knowl. Data Eng. 30(4): 729-742 (2018) - [c10]Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, B. Aditya Prakash:
NetGist: Learning to Generate Task-Based Network Summaries. ICDM 2018: 857-862 - [c9]Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan
:
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. ICDM 2018: 1055-1060 - [c8]Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan
, B. Aditya Prakash:
Sub2Vec: Feature Learning for Subgraphs. PAKDD (2) 2018: 170-182 - [c7]Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, Anil Vullikanti:
Near-Optimal Mapping of Network States using Probes. SDM 2018: 108-116 - [c6]Bijaya Adhikari, Parikshit Sondhi, Wenke Zhang, Mohit Sharma, B. Aditya Prakash:
Mining E-Commerce Query Relations using Customer Interaction Networks. WWW 2018: 1805-1814 - 2017
- [c5]Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan
, B. Aditya Prakash:
Distributed Representations of Subgraphs. ICDM Workshops 2017: 111-117 - [c4]Yao Zhang, Bijaya Adhikari, Steve T. K. Jan, B. Aditya Prakash:
MeiKe: Influence-based Communities in Networks. SDM 2017: 318-326 - [c3]Bijaya Adhikari, Yao Zhang, Aditya Bharadwaj, B. Aditya Prakash:
Condensing Temporal Networks using Propagation. SDM 2017: 417-425 - [i1]Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash:
Distributed Representation of Subgraphs. CoRR abs/1702.06921 (2017) - 2014
- [j1]Stanislaw Placzek, Bijaya Adhikari:
Analysis of MultiLayer Neural Networks with Direct and Cross Forward Connection. Fundam. Informaticae 133(2-3): 227-240 (2014) - [c2]Stanislaw Placzek, Bijaya Adhikari:
Coordination Algorithm in Hierarchical Structure of the Learning Process of Artificial Neural Network. CS&P 2014: 196-207 - 2013
- [c1]Stanislaw Placzek, Bijaya Adhikari:
Analysis of Multilayer Neural Networks with Direct and Cross-Forward Connection. CS&P 2013: 355-370
Coauthor Index
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last updated on 2024-07-23 21:53 CEST by the dblp team
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