SARGS method for distributed actionable pattern mining using spark. - Arunkumar Bagavathi; Pranava Mummoju; Katarzyna A. Tarnowska; Angelina A. Tzacheva; Zbigniew W. Ras (IEEE BigData, 2017)

Discovery of Action Rules at Lowest Cost in Spark. - Angelina A. Tzacheva; Arunkumar Bagavathi; Lavanya Ayila (ICDM Workshops, 2017)

In Search of Actionable Patterns of Lowest Cost - A Scalable Action Graph Method. - Angelina A. Tzacheva; Arunkumar Bagavathi; Sharath C. B. Suryanarayanaprasad (AIKE, 2018)

Multi-Net: A Scalable Multiplex Network Embedding Framework. - Arunkumar Bagavathi; Siddharth Krishnan (COMPLEX NETWORKS (2), 2018)

Data distribution method for scalable actionable pattern mining. - Arunkumar Bagavathi; Varun Rao; Angelina A. Tzacheva (DATA, 2018)

Actionable Pattern Mining - A Scalable Data Distribution Method Based on Information Granules. - Arunkumar Bagavathi; Abhishek Tripathi; Angelina A. Tzacheva; Zbigniew W. Ras (ICMLA, 2018)

MultiNet: Scalable Multilayer Network Embeddings. - Arunkumar Bagavathi; Siddharth Krishnan (CoRR, 2018)

Actionable pattern discovery for Sentiment Analysis on Twitter Data in clustered environment. - Jaishree Ranganathan; Allen S. Irudayaraj; Arunkumar Bagavathi; Angelina A. Tzacheva (J. Intell. Fuzzy Syst., 2018)

Examining untempered social media: analyzing cascades of polarized conversations. - Arunkumar Bagavathi; Pedram Bashiri; Shannon Reid; Matthew Phillips; Siddharth Krishnan (ASONAM, 2019)

ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. - Arunkumar Bagavathi; Siddharth Krishnan; Sanjay Subrahmanyan; S. L. Narasimhan (ICMLA, 2019)

Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment. - Stephen Wooley; Andrew Edmonds; Arunkumar Bagavathi; Siddharth Krishnan (ICMLA, 2019)

Scalable Action Mining for Recommendations to Reduce Hospital Readmission. - Arunkumar Bagavathi; Angelina A. Tzacheva (IRI, 2019)

DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. - Joshua Melton; Arunkumar Bagavathi; Siddharth Krishnan (ICMLA, 2020)

GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning. - Sai Narayanan; Akhilesh Ramachandran; Sathyanarayanan N. Aakur; Arunkumar Bagavathi (ICMLA, 2020)

Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models. - Michael Ridenhour; Arunkumar Bagavathi; Elaheh Raisi; Siddharth Krishnan (SBP-BRiMS, 2020)

Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks. - Sai Narayanan; Akhilesh Ramachandran; Sathyanarayanan N. Aakur; Arunkumar Bagavathi (CoRR, 2020)

Action Rules of Lowest Cost and Action Set Correlations. - Angelina A. Tzacheva; Ramya A. Shankar; Sridharan Ramachandran; Arunkumar Bagavathi (Fundam. Informaticae, 2020)

Action rules for sentiment analysis using Twitter. - Angelina A. Tzacheva; Jaishree Ranganathan; Arunkumar Bagavathi (Int. J. Soc. Netw. Min., 2020)

A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. - Prasad Hajare; Sadia Kamal; Siddharth Krishnan; Arunkumar Bagavathi (ICMLA, 2021)

Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. - Sathyanarayanan N. Aakur; Vineela Indla; Vennela Indla; Sai Narayanan; Arunkumar Bagavathi; Vishalini Laguduva Ramnath; Akhilesh Ramachandran (ICDM (Workshops), 2021)

MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis. - Sathyanarayanan N. Aakur; Sai Narayanan; Vineela Indla; Arunkumar Bagavathi; Vishalini Laguduva Ramnath; Akhilesh Ramachandran (MICCAI (5), 2021)

Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training. - Vineela Indla; Vennela Indla; Sai Narayanan; Akhilesh Ramachandran; Arunkumar Bagavathi; Vishalini Laguduva Ramnath; Sathyanarayanan N. Aakur (PAKDD (1), 2021)

Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling. - Sathyanarayanan N. Aakur; Arunkumar Bagavathi (VISIGRAPP (5: VISAPP), 2021)

Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias. - Sadia Kamal; Jade Gullic; Arunkumar Bagavathi (ISMIS, 2022)

Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning. - Sai Narayanan; Sathyanarayanan N. Aakur; Priyadharsini Ramamurthy; Arunkumar Bagavathi; Vishalini Ramnath; Akhilesh Ramachandran (CoRR, 2022)

Learning Unbiased News Article Representations: A Knowledge-Infused Approach. - Sadia Kamal; Jimmy Hartford; Jeremy Willis; Arunkumar Bagavathi (ICMLA, 2023)

Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias. - Srinath Sai Tripuraneni; Sadia Kamal; Arunkumar Bagavathi (ICMLA, 2023)

Modeling Political Orientation of Social Media Posts: An Extended Analysis. - Sadia Kamal; Brenner Little; Jade Gullic; Trevor Harms; Kristin Olofsson; Arunkumar Bagavathi (CoRR, 2023)

HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction. - Farhan Tanvir; Khaled Mohammed Saifuddin; Tanvir Hossain; Arunkumar Bagavathi; Esra Akbas (CoRR, 2023)

MIS-ME: A Multi-Modal Framework for Soil Moisture Estimation. - Mohammed Rakib; Adil Aman Mohammed; D. Cole Diggins; Sumit Sharma 013; Jeff Michael Sadler; Tyson Ochsner; Arun Bagavathi (DSAA, 2024)

HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing. - Farhan Tanvir; Khaled Mohammed Saifuddin; Tanvir Hossain; Arunkumar Bagavathi; Esra Akbas (DSAA, 2024)

Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis. - S. M. Rafiuddin; Mohammed Rakib; Sadia Kamal; Arunkumar Bagavathi (PAKDD (6), 2024)

PileUp Mitigation at the HL-LHC Using Attention for Event-Wide Context. - Luke Vaughan; Mohammed Rakib; Shivang Patel; Flera Rizatdinova; Alexander Khanov; Arunkumar Bagavathi (PAKDD (2), 2025)

G2D: Boosting Multimodal Learning with Gradient-Guided Distillation. - Mohammed Rakib; Arunkumar Bagavathi (CoRR, 2025)

A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models. - Sadia Kamal; Lalu Prasad Yadav Prakash; S. M. Rafiuddin; Mohammed Rakib; Arunkumar Bagavathi; Atriya Sen; Sagnik Ray Choudhury (CoRR, 2025)

AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis. - S. M. Rafiuddin; Sadia Kamal; Mohammed Rakib; Arunkumar Bagavathi; Atriya Sen (CoRR, 2025)