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 | 15 | 2015 |
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 | 14 | 2018 |
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 | 12 | 2019 |
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 | 10 | 2018 |
Agent goal management using goal operations S Kondrakunta, VR Gogineni, MT Cox Proceedings of the 9th Goal Reasoning Workshop, 2021 | 7 | 2021 |
Case-Based Explanations and Goal Specific Resource Estimations. VR Gogineni, S Kondrakunta, M Molineaux, MT Cox FLAIRS, 407-412, 2020 | 7 | 2020 |
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 | 5 | 2022 |
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 | 5 | 2019 |
Multi-agent Goal Delegation VR Gogineni, S Kondrakunta, MT Cox Proceedings of the Ninth Goal Reasoning Workshop, 2021 | 4 | 2021 |
Goal management in multi-agent systems VR Gogineni Wright State University, 2021 | 3 | 2021 |
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 | 2 | 2024 |
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 | 1 | 2020 |
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 |