Osmar R Zaiane

Artificial Intelligence · 2001–2022

A researcher in the Science corpus: 11 papers; trusts 392 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 164 citations into it; #9,281 of 35,345 by trust here, #13,544 by citations
• Natural Language Processing — 89 citations into it
• Computer Vision and Pattern Recognition — 84 citations into it; #17,296 of 21,575 by trust here, #10,010 by citations
• Evaluation & Benchmarks — 25 citations into it
• Information Systems — 23 citations into it; #775 of 8,771 by trust here, #3,198 by citations
• Model Architectures — 19 citations into it
• Large Language Models — 17 citations into it
• Radiology, Nuclear Medicine and Imaging — 13 citations into it; #2,172 of 3,265 by trust here, #2,754 by citations

Whom Osmar R Zaiane trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jaideep Srivastava
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Rakesh Agrawal
5. Kaiming He
6. Yoshua Bengio
7. Alex Krizhevsky
8. Ilya Sutskever
9. Yann LeCun
10. Jimmy Ba

Who trusts Osmar R Zaiane overall

1. Cristóbal Romero
2. Sebastián Ventura
3. Federico Michele Facca
4. Félix Castro
5. Jie Lu
6. Pier Luca Lanzi
7. Charu C. Aggarwal
8. Ashish Dutt
9. Alfredo Vellido
10. Kun Liu

Papers from Osmar R Zaiane's perspective

Ordered by how strongly the researchers Osmar R Zaiane trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Going deeper with convolutions

Their papers

• U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection (2020) — 2,199 citations
• On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? (2022) — 237 citations
• Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding (2021) — 161 citations
• UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer (2021) — 1,223 citations
• Evaluating Coherence in Dialogue Systems using Entailment (2019) — 106 citations
• Current State of Text Sentiment Analysis from Opinion to Emotion Mining (2017) — 471 citations
• Privacy Preserving Clustering by Data Transformation (2010) — 373 citations
• Privacy preserving frequent itemset mining (2002) — 344 citations
• Building a Recommender Agent for e-Learning Systems (2002) — 438 citations
• Application of Data Mining Techniques for Medical Image Classification (2001) — 381 citations
• Web Usage Mining for a Better Web-Based Learning Environment (2001) — 305 citations