Bapi Raju Surampudi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 15

Top Topics

Functional Connectivity

Comparative Analysis

Graph Theoretic

Top Venues

Publications

Mehul Arora, Chirag Shantilal Jain, Lalith Bharadwaj Baru, Kamalaker Dadi, Bapi Raju Surampudi
HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges. CoRR (2024)
Pindi Krishna Chandra Prasad, Kamalaker Dadi, Bapi Raju Surampudi
Dynamic functional connectivity analysis in individuals with Autism Spectrum Disorder. IJCNN (2023)
Upadrasta Naga Sita Sravanthi, Kamalakar Dadi, Bapi Raju Surampudi, P. N. Sylaja, C. Kesavadas, Srijithesh PR, Rinta Paul
Application of Graph Theoretic measures for assessing efficacy of Stroke Rehabilitation. IJCNN (2023)
Praveen Kumar Vesapogu, Bapi Raju Surampudi
Encoded Deep Vectors for Eukaryotic Exon Prediction. PReMI (2023)
Kamalaker Dadi, Bapi Raju Surampudi
Big Data in Cognitive Neuroscience: Opportunities and Challenges. BDA (2022)
Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? NAACL-HLT (2022)
Pindi Krishna Chandra Prasad, Yash Khare, Kamalaker Dadi, P. K. Vinod, Bapi Raju Surampudi
Deep Learning Approach for Classification and Interpretation of Autism Spectrum Disorder. IJCNN (2022)
Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? CoRR (2022)
Preetam Srikar Dammu, Bapi Raju Surampudi
Employing Temporal Properties of Brain Activity for Classifying Autism Using Machine Learning. PReMI (2) (2019)
Abobakr Khalil Alshamiri, Alok Singh, Bapi Raju Surampudi
Two swarm intelligence approaches for tuning extreme learning machine. Int. J. Mach. Learn. Cybern. 9 (8) (2018)
Bhargav Teja Nallapu, Bapi Raju Surampudi, Nicolas P. Rougier
The art of scaling up : A computational account on action selection in basal ganglia. IJCNN (2017)
Abobakr Khalil Alshamiri, Alok Singh, Bapi Raju Surampudi
Comparative analysis of ELM and No-Prop algorithms. IC3 (2016)
Anirudh Vattikonda, Bapi Raju Surampudi, Arpan Banerjee, Gustavo Deco, Dipanjan Roy
Does the regulation of local excitation-inhibition balance aid in recovery of functional connectivity? A computational account. NeuroImage 136 (2016)
Jagadeeswara Rao Annam, Bapi Raju Surampudi
AAMI Based ECG Heart-Beat Time-Series Clustering Using Unsupervised ELM and Decision Rule. ICIT (2016)
Abobakr Khalil Alshamiri, Alok Singh, Bapi Raju Surampudi
Artificial bee colony algorithm for clustering: an extreme learning approach. Soft Comput. 20 (8) (2016)
Pankaj Singh Dholaniya, Soumitra Ghosh, Bapi Raju Surampudi, Anand K. Kondapi
A knowledge driven supervised learning approach to identify gene network of differentially up-regulated genes during neuronal senescence in Rattus norvegicus. Biosyst. 135 (2015)
Kavita Vemuri, Bapi Raju Surampudi
An Exploratory Investigation of Functional Network Connectivity of Empathy and Default Mode Networks in a Free-Viewing Task. Brain Connect. 5 (6) (2015)
Komala Anamalamudi, Bapi Raju Surampudi, Madhavilatha Maganti
Stochastic Leaky Integrator Model for Interval Timing. MIWAI (2014)
Madhavi Alamuri, Bapi Raju Surampudi, Atul Negi
A survey of distance/similarity measures for categorical data. IJCNN (2014)
Abobakr Khalil Alshamiri, Bapi Raju Surampudi, Alok Singh
A Novel ELM K-Means Algorithm for Clustering. SEMCCO (2014)