NeuroFusionNet: A Multi-Modal Graph Transformer with Contrastive Alignment and Evidential Uncertainty for Epileptic Seizure Detection
Authors
Riyazulla Rahman Jabiulla
School of Computer Science & Information Science, Presidency University, Bengaluru, India
Afroz Pasha
afrozpasha@presidencyuniversity.in
School of Computer Science & Information Science, Presidency University, Bengaluru, India
Pinnepalli Sadhashiviah Prasad
prasad.ps@jainuniversity.ac.in
Department of Computer Science and Engineering, JAIN (Deemed-to-be University), Bengaluru, India
Mohan Devollu Narasimhamurthy
Department of Information Science and Engineering, SJC Institute of Technology, Chickballapur, India
Vidya Virupaksha
Department of Computer Science and Design, SJC Institute of Technology, Chickballapur, India
Manjula Hebbala Munithimmaiah
manjulahm@presidencyuniversity.in
School of Computer Science and Engineering, Presidency University, Bengaluru, India
Language: English
Page range: 209 - 228
Submitted on: Sep 25, 2025
Accepted on: Nov 10, 2025
Published on: Dec 11, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Related subjects:
© 2025 Riyazulla Rahman Jabiulla, Afroz Pasha, Pinnepalli Sadhashiviah Prasad, Mohan Devollu Narasimhamurthy, Vidya Virupaksha, Manjula Hebbala Munithimmaiah, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.