BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results U Visser, S Abeyruwan, U Vempati, RP Smith, V Lemmon, SC Schürer BMC bioinformatics 12, 1-16, 2011 | 156 | 2011 |
Evolving BioAssay Ontology (BAO): modularization, integration and applications S Abeyruwan, UD Vempati, H Küçük-McGinty, U Visser, A Koleti, A Mir, ... Journal of biomedical semantics 5, 1-22, 2014 | 96 | 2014 |
Minimum information about a spinal cord injury experiment: a proposed reporting standard for spinal cord injury experiments VP Lemmon, AR Ferguson, PG Popovich, XM Xu, DM Snow, M Igarashi, ... Journal of neurotrauma 31 (15), 1354-1361, 2014 | 88 | 2014 |
Formalization, annotation and analysis of diverse drug and probe screening assay datasets using the BioAssay Ontology (BAO) UD Vempati, MJ Przydzial, C Chung, S Abeyruwan, A Mir, K Sakurai, ... PloS one 7 (11), e49198, 2012 | 66 | 2012 |
i-sim2real: Reinforcement learning of robotic policies in tight human-robot interaction loops SW Abeyruwan, L Graesser, DB D’Ambrosio, A Singh, A Shankar, ... Conference on Robot Learning, 212-224, 2023 | 57 | 2023 |
Semi-automatic extraction of training examples from sensor readings for fall detection and posture monitoring SW Abeyruwan, D Sarkar, F Sikder, U Visser IEEE Sensors Journal 16 (13), 5406-5415, 2016 | 27 | 2016 |
RegenBase: a knowledge base of spinal cord injury biology for translational research A Callahan, SW Abeyruwan, H Al-Ali, K Sakurai, AR Ferguson, ... Database 2016, baw040, 2016 | 17 | 2016 |
Facilitating transparency in spinal cord injury studies using data standards and ontologies VP Lemmon, S Abeyruwan, U Visser, JL Bixby Neural regeneration research 9 (1), 6-7, 2014 | 17 | 2014 |
Accurate ball tracking with extended kalman filters as a prerequisite for a high-level behavior with reinforcement learning A Seekircher, S Abeyruwan, U Visser The 6th Workshop on Humanoid Soccer Robots at Humanoid Conference, Bled …, 2011 | 15 | 2011 |
Robotic table tennis: A case study into a high speed learning system DB D'Ambrosio, J Abelian, S Abeyruwan, M Ahn, A Bewley, J Boyd, ... arXiv preprint arXiv:2309.03315, 2023 | 12 | 2023 |
Motion capture and contemporary optimization algorithms for robust and stable motions on simulated biped robots A Seekircher, J Stoecker, S Abeyruwan, U Visser RoboCup 2012: Robot Soccer World Cup XVI 16, 213-224, 2013 | 12 | 2013 |
Dynamic role assignment using general value functions S Abeyruwan, A Seekircher, U Visser IEEE Humanoid Robots, HRS workshop, Osaka, Japan, 2012 | 12 | 2012 |
Achieving human level competitive robot table tennis DB D'Ambrosio, S Abeyruwan, L Graesser, A Iscen, HB Amor, A Bewley, ... arXiv preprint arXiv:2408.03906, 2024 | 10 | 2024 |
Learning high speed precision table tennis on a physical robot T Ding, L Graesser, S Abeyruwan, DB D'Ambrosio, A Shankar, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 9 | 2022 |
PrOntoLearn: unsupervised lexico-semantic ontology generation using probabilistic methods S Abeyruwan University of Miami, 2010 | 8 | 2010 |
RLLib: C++ Library to Predict, Control, and Represent Learnable Knowledge Using On/Off Policy Reinforcement Learning S Abeyruwan, U Visser Robot Soccer World Cup, 356-364, 2015 | 7 | 2015 |
Single-and multi-channel whistle recognition with nao robots K Poore, S Abeyruwan, A Seekircher, U Visser RoboCup 2014: Robot World Cup XVIII 18, 245-257, 2015 | 7 | 2015 |
A New Real-Time Algorithm to Extend DL Assertional Formalism to Represent and Deduce Entities in Robotic Soccer S Abeyruwan, U Visser Robot Soccer World Cup, 270-282, 2014 | 7 | 2014 |
Goalseye: Learning high speed precision table tennis on a physical robot T Ding, L Graesser, S Abeyruwan, DB D'Ambrosio, A Shankar, ... arXiv preprint arXiv:2210.03662, 2022 | 6 | 2022 |
Activity monitoring and prediction for humans and NAO humanoid robots using wearable sensors S Abeyruwan, F Sikder, U Visser, D Sarkar The Twenty-Eighth International Flairs Conference, 2015 | 6 | 2015 |