Следене
VENKATSAMPATH RAJA GOGINENI
VENKATSAMPATH RAJA GOGINENI
Потвърден имейл адрес: mayo.edu
Заглавие
Позовавания
Позовавания
Година
Real Time domestic power consumption monitoring using wireless sensor networks
VR Gogineni, K Matcha
International Journal of Electrical and Computer Engineering 5 (4), 685, 2015
152015
Toward problem recognition, explanation and goal formulation
S Kondrakunta, VR Gogineni, M Molineaux, H Munoz-Avila, M Oxenham, ...
6th Goal Reasoning Workshop at IJCAI/FAIM-2018, 2018
142018
Probabilistic selection of case-based explanations in an underwater mine clearance domain
VR Gogineni, S Kondrakunta, D Brown, M Molineaux, MT Cox
Case-Based Reasoning Research and Development: 27th International Conference …, 2019
122019
Application of Case-based Explanations to Formulate Goals in an Unpredictable Mine Clearance Domain
VR Gogineni, S Kondrakunta, M Molineaux, MT Cox
ICCBR 2018, 42, 2018
102018
Agent goal management using goal operations
S Kondrakunta, VR Gogineni, MT Cox
Proceedings of the 9th Goal Reasoning Workshop, 2021
72021
Case-Based Explanations and Goal Specific Resource Estimations.
VR Gogineni, S Kondrakunta, M Molineaux, MT Cox
FLAIRS, 407-412, 2020
72020
The Rational Selection of Goal Operations and the Integration ofSearch Strategies with Goal-Driven Autonomy
S Kondrakunta, VR Gogineni, MT Cox, D Coleman, X Tan, T Lin, M Hou, ...
arXiv preprint arXiv:2201.08883, 2022
52022
Problem recognition, explanation and goal formulation
S Kondrakunta, VR Gogineni, D Brown, M Molineaux, MT Cox
Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems, 2019
52019
Multi-agent Goal Delegation
VR Gogineni, S Kondrakunta, MT Cox
Proceedings of the Ninth Goal Reasoning Workshop, 2021
42021
Goal management in multi-agent systems
VR Gogineni
Wright State University, 2021
32021
Data-driven retrieval of population-level EEG features and their role in neurodegenerative diseases
W Li, Y Varatharajah, E Dicks, L Barnard, BH Brinkmann, D Crepeau, ...
Brain Communications 6 (4), fcae227, 2024
22024
MIDCA Version 1.5: User manual and tutorial for the Metacognitive Integrated Dual-Cycle Architecture
D Dannenhauer, VR Gogineni, S Kondrakunta, A Mitchell, MT Cox
Tech. Rep. No. COLAB2-TR-5, 2020
12020
Artificial intelligence models using F-wave responses predict amyotrophic lateral sclerosis
JM Martinez-Thompson, KA Mazurek, C Parra Cantu, E Naddaf, ...
Brain, awaf014, 2025
2025
The Value of Normal Interictal EEGs in Epilepsy Diagnosis and Treatment Planning: A Retrospective Cohort Study using Population-level Spectral Power and Connectivity Patterns
N Wagh, A Duque-Lopez, B Joseph, B Berry, L Jehi, D Crepeau, ...
medRxiv, 2025.01. 03.25319963, 2025
2025
FDG‐PET patterns associate with survival in patients with prion disease
N Corriveau‐Lecavalier, YD Piura, BS Appleby, D Shir, LR Barnard, ...
Annals of Clinical and Translational Neurology 11 (12), 3227-3237, 2024
2024
FDG-PET As A Potential Prognostic Tool in Creutzfeldt-Jakob Disease
G Day, N Corriveau-Lecavalier, YD Piura, D Shir, LR Barnard, V Gogineni, ...
ANNALS OF NEUROLOGY 96, S141-S141, 2024
2024
Machine-learning Techniques Applied to F-wave Waveforms Can Predict the Likelihood and Survival of ALS Patients (P6-11.003)
J Martinez-Thompson, K Mazurek, CP Cantu, V Gogineni, H Botha, ...
Neurology 102 (17_supplement_1), 6056, 2024
2024
Assessing network degeneration and phenotypic heterogeneity in genetic frontotemporal lobar degeneration by decoding FDG-PET
N Corriveau-Lecavalier, LR Barnard, SA Przybelski, V Gogineni, H Botha, ...
NeuroImage: Clinical 41, 103559, 2024
2024
Assessing patterns of network degeneration in familial frontotemporal lobar degeneration using FDG‐PET and unsupervised machine learning
N Corriveau‐Lecavalier, LR Barnard, SA Przybelski, V Gogineni, H Botha, ...
Alzheimer's & Dementia 19, e076725, 2023
2023
Predicting survival of people with ALS using machine learning applied to nerve conduction F-Waves
J Martinez-Thompson, K Mazurek, C Parra-Cantu, V Gogineni, H Botha, ...
MUSCLE & NERVE 68, S12-S12, 2023
2023
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