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2020 – today
- 2024
[c16]Joshua Melton, Shannon Reid, Gabriel Terejanu, Siddharth Krishnan:
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks. ASONAM (3) 2024: 245-261- [i12]Joshua Melton, Shannon Reid, Gabriel Terejanu, Siddharth Krishnan:
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks. CoRR abs/2404.10228 (2024) - [i11]Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani, Siddharth Krishnan, Shannon Reid, Gabriel Terejanu:
Quantifying Influencer Effects on Affective Polarization. CoRR abs/2405.15893 (2024) - [i10]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:
A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation. CoRR abs/2409.16441 (2024) - 2023
- [j2]Marcos Zampieri
, Isabelle Augenstein, Siddharth Krishnan, Joshua Melton, Preslav Nakov:
Preface: Special issue on NLP approaches to offensive content online. Nat. Lang. Eng. 29(6): 1415 (2023) - [j1]Joshua Melton, Siddharth Krishnan:
muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11067-11078 (2023) - [c15]Maya Kapoor, Michael Napolitano, Jonathan Quance, Thomas Moyer, Siddharth Krishnan:
Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning. AAAI 2023: 15519-15527 - [c14]Ariel Slepyan, Siddharth Krishnan, Tianao Li, Nitish V. Thakor:
A Multi-Channel, Low-Voltage, High-Frequency Programmable Electrical Stimulator for Sensory Feedback. BioCAS 2023: 1-5 - 2022
- [c13]Maya Kapoor, Joshua Melton, Michael Ridenhour, Thomas Moyer, Siddharth Krishnan:
Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning. CIKM 2022: 4887-4891 - [c12]Maya Kapoor, Siddharth Krishnan, Thomas Moyer:
Deep Packet Inspection at Scale: Search Optimization Through Locality-Sensitive Hashing. NCA 2022: 97-105 - [i9]Joshua Melton, Michael Ridenhour, Siddharth Krishnan:
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks. CoRR abs/2203.01903 (2022) - [i8]Maya Kapoor, Joshua Melton, Michael Ridenhour, Mahalavanya Sriram, Thomas Moyer, Siddharth Krishnan:
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning. CoRR abs/2203.02744 (2022) - 2021
- [c11]Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi:
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. ICMLA 2021: 239-243 - [c10]Maya Kapoor, Joshua Melton, Michael Ridenhour, Siddharth Krishnan, Thomas Moyer:
PROV-GEM: Automated Provenance Analysis Framework using Graph Embeddings. ICMLA 2021: 1720-1727 - [i7]Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi:
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. CoRR abs/2109.09014 (2021) - 2020
- [c9]Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan:
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. ICMLA 2020: 1015-1022 - [c8]Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, Siddharth Krishnan:
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models. SBP-BRiMS 2020: 202-212 - [i6]Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, Siddharth Krishnan:
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models. CoRR abs/2007.12724 (2020) - [i5]Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan:
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. CoRR abs/2011.01861 (2020)
2010 – 2019
- 2019
- [c7]Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid, Matthew Phillips, Siddharth Krishnan:
Examining untempered social media: analyzing cascades of polarized conversations. ASONAM 2019: 625-632 - [c6]Stephen Wooley, Andrew Edmonds, Arunkumar Bagavathi, Siddharth Krishnan:
Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment. ICMLA 2019: 500-505 - [c5]Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan:
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. ICMLA 2019: 1517-1522 - [i4]Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid, Matthew Phillips, Siddharth Krishnan:
Examining Untempered Social Media: Analyzing Cascades of Polarized Conversations. CoRR abs/1906.04261 (2019) - [i3]Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan:
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. CoRR abs/1912.03769 (2019) - 2018
- [b1]Siddharth Krishnan:
Seeing the Forest for the Trees: New approaches to Characterizing and Forecasting Cascades. Virginia Tech, Blacksburg, VA, USA, 2018 - [c4]Arunkumar Bagavathi, Siddharth Krishnan:
Multi-Net: A Scalable Multiplex Network Embedding Framework. COMPLEX NETWORKS (2) 2018: 119-131 - [i2]Arunkumar Bagavathi, Siddharth Krishnan:
MultiNet: Scalable Multilayer Network Embeddings. CoRR abs/1805.10172 (2018) - [i1]Nasheen Nur, Wenwen Dou, Xi Niu, Siddharth Krishnan, Noseong Park:
GI-OHMS: Graphical Inference to Detect Overlapping Communities. CoRR abs/1810.01547 (2018) - 2016
- [c3]Mohammad Raihanul Islam, K. S. M. Tozammel Hossain, Siddharth Krishnan, Naren Ramakrishnan:
Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices. AAAI 2016: 4-12 - [c2]Michael Levet, Siddharth Krishnan:
A Mechanism Design Approach for Influence Maximization. GAMENETS 2016: 55-62 - [c1]Siddharth Krishnan, Patrick Butler, Ravi Tandon, Jure Leskovec, Naren Ramakrishnan:
Seeing the forest for the trees: new approaches to forecasting cascades. WebSci 2016: 249-258
Coauthor Index
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