Arunkumar Bagavathi

48 papers B 2C 10Misc 1Journal 23Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models.
CoRR
Sadia Kamal, Lalu Prasad Yadav Prakash, S. M. Rafiuddin, Mohammed Rakib, Arunkumar Bagavathi, Atriya Sen, Sagnik Ray Choudhury
2025 — conf
AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis.
ASONAM (1)
S. M. Rafiuddin, Sadia Kamal, Mohammed Rakib, Arunkumar Bagavathi, Atriya Sen
2025 J jnl
AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis.
CoRR
S. M. Rafiuddin, Sadia Kamal, Mohammed Rakib, Arunkumar Bagavathi, Atriya Sen
2025 J jnl
G
CoRR
Mohammed Rakib, Arunkumar Bagavathi
2025 — conf
PileUp Mitigation at the HL-LHC Using Attention for Event-Wide Context.
PAKDD (2)
Luke Vaughan, Mohammed Rakib, Shivang Patel, Flera Rizatdinova, Alexander Khanov, Arunkumar Bagavathi
2024 — conf
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis.
PAKDD (6)
S. M. Rafiuddin, Mohammed Rakib, Sadia Kamal, Arunkumar Bagavathi
2024 J jnl
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis.
CoRR
S. M. Rafiuddin, Mohammed Rakib, Sadia Kamal, Arunkumar Bagavathi
2024 B conf
HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing.
DSAA
Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas
2024 J jnl
MIS-ME: A Multi-modal Framework for Soil Moisture Estimation.
CoRR
Mohammed Rakib, Adil Aman Mohammed, D. Cole Diggins, Sumit Sharma, Jeff Michael Sadler, Tyson E. Ochsner, Arunkumar Bagavathi
2023 J jnl
HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction.
CoRR
Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas
2023 C conf
Learning Unbiased News Article Representations: A Knowledge-Infused Approach.
ICMLA
Sadia Kamal, Jimmy Hartford, Jeremy Willis, Arunkumar Bagavathi
2023 J jnl
Learning Unbiased News Article Representations: A Knowledge-Infused Approach.
CoRR
Sadia Kamal, Jimmy Hartford, Jeremy Willis, Arunkumar Bagavathi
2023 J jnl
Modeling Political Orientation of Social Media Posts: An Extended Analysis.
CoRR
Sadia Kamal, Brenner Little, Jade Gullic, Trevor Harms, Kristin Olofsson, Arunkumar Bagavathi
2023 C conf
Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias.
ICMLA
Srinath Sai Tripuraneni, Sadia Kamal, Arunkumar Bagavathi
2023 J jnl
Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias.
CoRR
Srinath Sai Tripuraneni, Sadia Kamal, Arunkumar Bagavathi
2022 C conf
Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias.
ISMIS
Sadia Kamal, Jade Gullic, Arunkumar Bagavathi
2022 J jnl
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning.
CoRR
Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy, Arunkumar Bagavathi, Vishalini Ramnath, Akhilesh Ramachandran
2021 C conf
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches.
ICMLA
Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi
2021 J jnl
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches.
CoRR
Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi
2021 J jnl
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis.
CoRR
Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
2021 — conf
MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis.
MICCAI (5)
Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
2021 — conf
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis.
ICDM (Workshops)
Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
2021 J jnl
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis.
CoRR
Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
2021 — conf
Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training.
PAKDD (1)
Vineela Indla, Vennela Indla, Sai Narayanan, Akhilesh Ramachandran, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur
2021 — conf
Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling.
VISIGRAPP (5: VISAPP)
Sathyanarayanan N. Aakur, Arunkumar Bagavathi
2020 J jnl
Action Rules of Lowest Cost and Action Set Correlations.
Fundam. Informaticae
Angelina A. Tzacheva, Ramya A. Shankar, Sridharan Ramachandran, Arunkumar Bagavathi
2020 J jnl
Action rules for sentiment analysis using Twitter.
Int. J. Soc. Netw. Min.
Angelina A. Tzacheva, Jaishree Ranganathan, Arunkumar Bagavathi
2020 C conf
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection.
ICMLA
Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan
2020 J jnl
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection.
CoRR
Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan
2020 — conf
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models.
SBP-BRiMS
Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, Siddharth Krishnan
2020 J jnl
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models.
CoRR
Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, Siddharth Krishnan
2020 C conf
GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning.
ICMLA
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi
2020 J jnl
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks.
CoRR
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi
2020 J jnl
Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling.
CoRR
Sathyanarayanan N. Aakur, Arunkumar Bagavathi
2019 J jnl
Examining Untempered Social Media: Analyzing Cascades of Polarized Conversations.
CoRR
Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid, Matthew Phillips, Siddharth Krishnan
2019 B conf
Examining untempered social media: analyzing cascades of polarized conversations.
ASONAM
Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid, Matthew Phillips, Siddharth Krishnan
2019 C conf
Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment.
ICMLA
Stephen Wooley, Andrew Edmonds, Arunkumar Bagavathi, Siddharth Krishnan
2019 Misc conf
Scalable Action Mining for Recommendations to Reduce Hospital Readmission.
IRI
Arunkumar Bagavathi, Angelina A. Tzacheva
2019 C conf
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert.
ICMLA
Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan
2019 J jnl
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert.
CoRR
Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan
2018 C conf
Actionable Pattern Mining - A Scalable Data Distribution Method Based on Information Granules.
ICMLA
Arunkumar Bagavathi, Abhishek Tripathi, Angelina A. Tzacheva, Zbigniew W. Ras
2018 J jnl
Actionable pattern discovery for Sentiment Analysis on Twitter Data in clustered environment.
J. Intell. Fuzzy Syst.
Jaishree Ranganathan, Allen S. Irudayaraj, Arunkumar Bagavathi, Angelina A. Tzacheva
2018 C conf
Data distribution method for scalable actionable pattern mining.
DATA
Arunkumar Bagavathi, Varun Rao, Angelina A. Tzacheva
2018 — conf
In Search of Actionable Patterns of Lowest Cost - A Scalable Action Graph Method.
AIKE
Angelina A. Tzacheva, Arunkumar Bagavathi, Sharath C. B. Suryanarayanaprasad
2018 — conf
Multi-Net: A Scalable Multiplex Network Embedding Framework.
COMPLEX NETWORKS (2)
Arunkumar Bagavathi, Siddharth Krishnan
2018 J jnl
MultiNet: Scalable Multilayer Network Embeddings.
CoRR
Arunkumar Bagavathi, Siddharth Krishnan
2017 — conf
Discovery of Action Rules at Lowest Cost in Spark.
ICDM Workshops
Angelina A. Tzacheva, Arunkumar Bagavathi, Lavanya Ayila
2017 — conf
SARGS method for distributed actionable pattern mining using spark.
IEEE BigData
Arunkumar Bagavathi, Pranava Mummoju, Katarzyna A. Tarnowska, Angelina A. Tzacheva, Zbigniew W. Ras