Amit P. Sheth
Artificial Intelligence · 1990–2023
A researcher in the Science corpus: 34 papers; trusts 145 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 246 citations into it; #5,311 of 35,345 by trust here, #5,749 by citations
- Information Systems — 107 citations into it; #1,449 of 8,771 by trust here, #1,625 by citations
- Computer Networks and Communications — 79 citations into it; #2,204 of 9,886 by trust here, #2,927 by citations
- Natural Language Processing — 63 citations into it
- Computer Vision and Pattern Recognition — 45 citations into it
- Representation & Self-Supervised Learning — 31 citations into it
- Signal Processing — 29 citations into it
- Sociology and Political Science — 26 citations into it
Whom Amit P. Sheth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yufei Tao
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Yann LeCun
- Alex Krizhevsky
- Tomas Mikolov
- Dimitris Papadias
- Daphne Koller
Who trusts Amit P. Sheth overall
- Ugur Kursuncu
- Manas Gaur
- Jérôme Euzenat
- Yannis Kalfoglou
- Bastian Quilitz
- Qinbin Li
- Srikumar Venugopal
- Sheila Tejada
- Atsushi Sato
- Kunal Verma
Papers from Amit P. Sheth's perspective
Ordered by how strongly the researchers Amit P. Sheth trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- "Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention (2018) — 112 citations
- Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention (2019) — 223 citations
- Semantic Filtering for Social Data (2016) — 239 citations
- Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples (2016) — 23 citations
- Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions (2019) — 62 citations
- Context-Driven Automatic Subgraph Creation for Literature-Based Discovery (2015) — 91 citations
- A Survey of Hallucination in Large Foundation Models (2023) — 604 citations
- Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning (2019) — 68 citations
- Shades of Knowledge-Infused Learning for Enhancing Deep Learning (2019) — 69 citations
- Predictive Analysis on Twitter: Techniques and Applications (2018) — 19 citations
- What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding (2018) — 19 citations
- Domain-Specific Use Cases for Knowledge-Enabled Social Media Analysis (2018) — 9 citations
- Enhancing Crowd Wisdom Using Explainable Diversity Inferred from Social Media (2018) — 6 citations
- Machine learning for Internet of Things data analysis: A survey (2017) — 970 citations
- Implicit Entity Linking in Tweets (2016) — 31 citations
- Semantic Gateway as a Service Architecture for IoT Interoperability (2014) — 319 citations
- The Internet of Things: A Survey from the Data-Centric Perspective (2013) — 332 citations
- The SSN ontology of the W3C semantic sensor network incubator group (2012) — 1,559 citations
- Semantics Empowered Web 3.0: Managing Enterprise, Social, Sensor, and Cloud-based Data and Services for Advanced Applications (2012) — 40 citations
- Harnessing Twitter "Big Data" for Automatic Emotion Identification (2012) — 387 citations