Arunkumar Bagavathi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 41

Top Topics

Severe Acute Respiratory Syndrome

Graph Representations

Top Venues

Fundam. Informaticae

COMPLEX NETWORKS (2)

Publications

S. M. Rafiuddin, Mohammed Rakib, Sadia Kamal, Arunkumar Bagavathi
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis. CoRR (2024)
S. M. Rafiuddin, Mohammed Rakib, Sadia Kamal, Arunkumar Bagavathi
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis. PAKDD (6) (2024)
Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas
HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction. CoRR (2023)
Sadia Kamal, Brenner Little, Jade Gullic, Trevor Harms, Kristin Olofsson, Arunkumar Bagavathi
Modeling Political Orientation of Social Media Posts: An Extended Analysis. CoRR (2023)
Srinath Sai Tripuraneni, Sadia Kamal, Arunkumar Bagavathi
Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias. CoRR (2023)
Sadia Kamal, Jimmy Hartford, Jeremy Willis, Arunkumar Bagavathi
Learning Unbiased News Article Representations: A Knowledge-Infused Approach. ICMLA (2023)
Srinath Sai Tripuraneni, Sadia Kamal, Arunkumar Bagavathi
Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias. ICMLA (2023)
Sadia Kamal, Jimmy Hartford, Jeremy Willis, Arunkumar Bagavathi
Learning Unbiased News Article Representations: A Knowledge-Infused Approach. CoRR (2023)
Sadia Kamal, Jade Gullic, Arunkumar Bagavathi
Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias. ISMIS (2022)
Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy, Arunkumar Bagavathi, Vishalini Ramnath, Akhilesh Ramachandran
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning. CoRR (2022)
Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. ICDM (Workshops) (2021)
Sathyanarayanan N. Aakur, Arunkumar Bagavathi
Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling. VISIGRAPP (5: VISAPP) (2021)
Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis. MICCAI (5) (2021)
Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis. CoRR (2021)
Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. CoRR (2021)
Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. ICMLA (2021)
Vineela Indla, Vennela Indla, Sai Narayanan, Akhilesh Ramachandran, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur
Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training. PAKDD (1) (2021)
Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. CoRR (2021)
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks. CoRR (2020)
Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. CoRR (2020)
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi
GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning. ICMLA (2020)
Angelina A. Tzacheva, Ramya A. Shankar, Sridharan Ramachandran, Arunkumar Bagavathi
Action Rules of Lowest Cost and Action Set Correlations. Fundam. Informaticae 172 (4) (2020)
Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, Siddharth Krishnan
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models. SBP-BRiMS (2020)
Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. ICMLA (2020)
Angelina A. Tzacheva, Jaishree Ranganathan, Arunkumar Bagavathi
Action rules for sentiment analysis using Twitter. Int. J. Soc. Netw. Min. 3 (1) (2020)
Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, Siddharth Krishnan
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models. CoRR (2020)
Sathyanarayanan N. Aakur, Arunkumar Bagavathi
Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling. CoRR (2020)
Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid, Matthew Phillips, Siddharth Krishnan
Examining Untempered Social Media: Analyzing Cascades of Polarized Conversations. CoRR (2019)
Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. ICMLA (2019)
Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. CoRR (2019)
Stephen Wooley, Andrew Edmonds, Arunkumar Bagavathi, Siddharth Krishnan
Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment. ICMLA (2019)
Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid, Matthew Phillips, Siddharth Krishnan
Examining untempered social media: analyzing cascades of polarized conversations. ASONAM (2019)
Arunkumar Bagavathi, Angelina A. Tzacheva
Scalable Action Mining for Recommendations to Reduce Hospital Readmission. IRI (2019)
Angelina A. Tzacheva, Arunkumar Bagavathi, Sharath C. B. Suryanarayanaprasad
In Search of Actionable Patterns of Lowest Cost - A Scalable Action Graph Method. AIKE (2018)
Jaishree Ranganathan, Allen S. Irudayaraj, Arunkumar Bagavathi, Angelina A. Tzacheva
Actionable pattern discovery for Sentiment Analysis on Twitter Data in clustered environment. J. Intell. Fuzzy Syst. 34 (5) (2018)
Arunkumar Bagavathi, Abhishek Tripathi, Angelina A. Tzacheva, Zbigniew W. Ras
Actionable Pattern Mining - A Scalable Data Distribution Method Based on Information Granules. ICMLA (2018)
Arunkumar Bagavathi, Varun Rao, Angelina A. Tzacheva
Data distribution method for scalable actionable pattern mining. DATA (2018)
Arunkumar Bagavathi, Siddharth Krishnan
MultiNet: Scalable Multilayer Network Embeddings. CoRR (2018)
Arunkumar Bagavathi, Siddharth Krishnan
Multi-Net: A Scalable Multiplex Network Embedding Framework. COMPLEX NETWORKS (2) (2018)
Angelina A. Tzacheva, Arunkumar Bagavathi, Lavanya Ayila
Discovery of Action Rules at Lowest Cost in Spark. ICDM Workshops (2017)
Arunkumar Bagavathi, Pranava Mummoju, Katarzyna A. Tarnowska, Angelina A. Tzacheva, Zbigniew W. Ras
SARGS method for distributed actionable pattern mining using spark. IEEE BigData (2017)