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Discover Artificial Intelligence 2026: all accepted papers

1,550 papers · page 4 of 16 · the most cited first · ← Discover Artificial Intelligence 2026

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  1. Random forest based analysis of SME growth under data scarcity in the GCC region ↗Vinodh Kesavaraj Natarajan, Habil Slade Ogalo, M. Akbar1 citation
  2. Self supervised iBOT vision transformer framework for data efficient white blood cell classification ↗Md Sharifur Rahman, Kallol Chakraborty Shekhor, Md Anwar Hossain et al.1 citation
  3. The effect of feature reduction on an ANFIS-based intrusion detection system ↗Mohammad Hassan Nataj Solhdar, Seyed Enayatallah Alavi1 citation
  4. Transfer learning based approach for reliable handwritten signature verification with SignaLearn ↗Himanshu Kumar Pathak, Unnati Chaurasia, Rashmi Rathi Upadhyay et al.1 citation
  5. Transparent machine learning-based classification of cholesterol levels using random forest and ELI5 explainability ↗Fetlework Gubena Arage, Tsegasilassie Gebremariam Abate, Tigist Kifle Tsegaw et al.1 citation
  6. A BERT BiLSTM and BiTCN model for suicidal ideation identification in Spanish texts ↗Alejandro Morales Ríos, Juan Carlos Blandón Andrade, Beatriz Martínez González et al.
  7. A comprehensive review of deep learning methods for weed classification in precision agriculture ↗Njoku Camillus Ekene, Francis Amaechi Okoye, Ebere Uzoka Chidi et al.
  8. A cortically-inspired predictive coding framework for polyp segmentation ↗Abdul Joseph Fofanah, Lian Wen, Alpha Alimamy Kamara et al.
  9. A critical review of deep learning methods for trustworthy crop yield prediction ↗Danison Taremwa, Emmanuel Ahishakiye, Aggrey Obbo et al.
  10. A data efficient pyramid vision transformer for image classification ↗Gazi Jannatul Ferdous, Mehdi Hasan Chowdhury, Md. Azad Hossain et al.

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