Siddharth Krishnan

According to our database, Siddharth Krishnan authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation.

Avisha Kumar, Kunal Kotkar, Kelly Jiang, Meghana Bhimreddy, Daniel Davidar, Carly Weber-Levine, Siddharth Krishnan, Max J. Kerensky, Ruixing Liang, Kelley M. Kempski Leadingham, Denis Routkevitch, Andrew M. Hersh, Kimberly Ashayeri, Betty M. Tyler, Ian Suk, Jennifer Son, Nicholas Theodore, Nitish V. Thakor, Amir Manbachi

CoRR, 2024

Quantifying Influencer Effects on Affective Polarization.

Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani, Siddharth Krishnan, Shannon Reid, Gabriel Terejanu

CoRR, 2024

Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks.

Joshua Melton, Shannon Reid, Gabriel Terejanu, Siddharth Krishnan

CoRR, 2024

2023

Preface: Special issue on NLP approaches to offensive content online.

Marcos Zampieri, Isabelle Augenstein, Siddharth Krishnan, Joshua Melton, Preslav Nakov

Nat. Lang. Eng., November, 2023

muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs.

Joshua Melton, Siddharth Krishnan

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

A Multi-Channel, Low-Voltage, High-Frequency Programmable Electrical Stimulator for Sensory Feedback.

Ariel Slepyan, Siddharth Krishnan, Tianao Li, Nitish V. Thakor

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning.

Maya Kapoor, Michael Napolitano, Jonathan Quance, Thomas Moyer, Siddharth Krishnan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning.

Maya Kapoor, Joshua Melton, Michael Ridenhour, Mahalavanya Sriram, Thomas Moyer, Siddharth Krishnan

CoRR, 2022

Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks.

Joshua Melton, Michael Ridenhour, Siddharth Krishnan

CoRR, 2022

Deep Packet Inspection at Scale: Search Optimization Through Locality-Sensitive Hashing.

Maya Kapoor, Siddharth Krishnan, Thomas Moyer

Proceedings of the 21st IEEE International Symposium on Network Computing and Applications, 2022

Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning.

Maya Kapoor, Joshua Melton, Michael Ridenhour, Thomas Moyer, Siddharth Krishnan

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

PROV-GEM: Automated Provenance Analysis Framework using Graph Embeddings.

Maya Kapoor, Joshua Melton, Michael Ridenhour, Siddharth Krishnan, Thomas Moyer

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches.

Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models.

Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, Siddharth Krishnan

Proceedings of the Social, Cultural, and Behavioral Modeling, 2020

DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection.

Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment.

Stephen Wooley, Andrew Edmonds, Arunkumar Bagavathi, Siddharth Krishnan

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert.

Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Examining untempered social media: analyzing cascades of polarized conversations.

Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid, Matthew Phillips, Siddharth Krishnan

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Seeing the Forest for the Trees: New approaches to Characterizing and Forecasting Cascades.

Siddharth Krishnan

PhD thesis, 2018

GI-OHMS: Graphical Inference to Detect Overlapping Communities.

Nasheen Nur, Wenwen Dou, Xi Niu, Siddharth Krishnan, Noseong Park

CoRR, 2018

MultiNet: Scalable Multilayer Network Embeddings.

Arunkumar Bagavathi, Siddharth Krishnan

CoRR, 2018

Multi-Net: A Scalable Multiplex Network Embedding Framework.

Arunkumar Bagavathi, Siddharth Krishnan

Proceedings of the Complex Networks and Their Applications VII, 2018

2016

Seeing the forest for the trees: new approaches to forecasting cascades.

Siddharth Krishnan, Patrick Butler, Ravi Tandon, Jure Leskovec, Naren Ramakrishnan

Proceedings of the 8th ACM Conference on Web Science, 2016

A Mechanism Design Approach for Influence Maximization.

Michael Levet, Siddharth Krishnan

Proceedings of the Game Theory for Networks, 2016

Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices.

Mohammad Raihanul Islam, K. S. M. Tozammel Hossain, Siddharth Krishnan, Naren Ramakrishnan

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016