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Publication search results
found 28 matches
- 2024
- Shakthi Devi Packiapalavesam, Venkatesan Saravanan, Anand A. Mahajan, Mikhlid H. Almutairi, Bader O. Almutairi, Jesu Arockiaraj, Muthu Kumaradoss Kathiravan, S. Karthick Raja Namasivayam:
Identification of novel CA IX inhibitor: Pharmacophore modeling, docking, DFT, and dynamic simulation. Comput. Biol. Chem. 110: 108073 (2024) - Namasivayam Kalithasan, Sachit Sachdeva, Himanshu Gaurav Singh, Divyanshu Aggarwal, Gurarmaan Singh Panjeta, Vishal Bindal, Arnav Tuli, Rohan Paul, Parag Singla:
Sketch-Plan-Generalize: Continual Few-Shot Learning of Inductively Generalizable Spatial Concepts for Language-Guided Robot Manipulation. CoRR abs/2404.07774 (2024) - Namasivayam Kalithasan, Arnav Tuli, Vishal Bindal, Himanshu Gaurav Singh, Parag Singla, Rohan Paul:
Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach. CoRR abs/2405.18948 (2024) - 2023
- Pravinkumar G. Kandhare, Namasivayam Ambalavanan, Colm P. Travers, Waldemar A. Carlo, Nikolay Metodiev Sirakov, Arie Nakhmani:
Comparison metrics for multi-step prediction of rare events in vital sign signals. Biomed. Signal Process. Control. 80(Part): 104371 (2023) - Pravitha Ramanand, Premananda Indic, Samuel J. Gentle, Namasivayam Ambalavanan:
Information based similarity analysis of oxygen saturation recordings to detect Pulmonary hypertension in preterm infants. Biomed. Signal Process. Control. 86(Part C): 105358 (2023) - Sven Marcel Stefan, Jens Pahnke, Vigneshwaran Namasivayam:
HD_BPMDS: a curated binary pattern multitarget dataset of Huntington's disease-targeting agents. J. Cheminformatics 15(1) (2023) - Pravitha Ramanand, Premananda Indic, Samuel J. Gentle, Namasivayam Ambalavanan:
Interdependence in the Cardiorespiratory Network of Preterm Infants with Pulmonary Hypertension Using Mutual Information Analysis. CinC 2023: 1-4 - Namasivayam Kalithasan, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul:
Learning Neuro-symbolic Programs for Language Guided Robot Manipulation. ICRA 2023: 7973-7980 - 2022
- Vigneshwaran Namasivayam, Katja Stefan, Katja Silbermann, Jens Pahnke, Michael Wiese, Sven Marcel Stefan:
Structural feature-driven pattern analysis for multitarget modulator landscapes. Bioinform. 38(5): 1385-1392 (2022) - Rahul Kumar, Ridhi Arora, Vipul Bansal, Vinodh J. Sahayasheela, Himanshu Buckchash, Javed Imran, Narayanan Narayanan, Ganesh Namasivayam Pandian, Balasubramanian Raman:
Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient. Multim. Tools Appl. 81(19): 27631-27655 (2022) - Ratri Mukherjee, Premananda Indic, Colm P. Travers, Namasivayam Ambalavanan, Pravitha Ramanand:
Stochastic Modeling of Inter-Hypoxemia Intervals in Preterm Infants. EMBC 2022: 346-349 - Namasivayam Kalithasan, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul:
Learning Neuro-symbolic Programs for Language Guided Robot Manipulation. CoRR abs/2211.06652 (2022) - 2020
- Rahul Kumar, Ankur Gupta, Harkirat Singh Arora, Ganesh Namasivayam Pandian, Balasubramanian Raman:
CGHF: A Computational Decision Support System for Glioma Classification Using Hybrid Radiomics- and Stationary Wavelet-Based Features. IEEE Access 8: 79440-79458 (2020) - 2018
- Mehedi Hassan, Aishwarya Alex Namasivayam, Dan F. DeBlasio, Nazeefa Fatima, Benjamin Siranosian, R. Gonzalo Parra, Bart Cuypers, Sayane Shome, Alexander Miguel Monzon, Julien Fumey, Farzana Rahman:
Reflections on a journey: a retrospective of the ISCB Student Council symposium series. BMC Bioinform. 19-S(12): 347:1-347:8 (2018) - Se Yong A.-L. Eh Noum, Siva Kumar Sivanesan, Mindy Pei Lin Tay, Satesh Narayana Namasivayam, Mohammad Hosseini Fouladi, Teow Hsien Loong:
Integrating Mobile Learning into the Foundation in Engineering Programme. ICEED 2018: 196-201 - 2017
- Venkata Naga Sai Apurupa Amperayani, Premananda Indic, Colm P. Travers, Riccardo Barbieri, David Paydarfar, Namasivayam Ambalavanan:
An Algorithm for Risk Stratification of Preterm Infants. CinC 2017 - Yu Pu, Giby Samson, Chunlei Shi, Dongkyu Park, Ken Easton, Rudy Beraha, J. Hadi, Mark Lin, E. Arvelo, J. Fatehi, J. Kumar, Moses Derkalousdian, P. Aghera, Adam Newham, H. Sheraji, Karam Chatha, R. McLaren, V. Ganesan, S. Namasivayam, Danny Butterfield, Ravi Shenoy, Rashid Attar:
Blackghost: An ultra-low-power all-in-one 28nm CMOS SoC for Internet-of-Things. COOL Chips 2017: 1-3 - 2015
- Shweta Bagewadi Kawalia, Subash Adhikari, Anjani Dhrangadhariya, Afroza Khanam Irin, Christian Ebeling, Aishwarya Alex Namasivayam, Matthew Page, Martin Hofmann-Apitius, Philipp Senger:
NeuroTransDB: highly curated and structured transcriptomic metadata for neurodegenerative diseases. Database J. Biol. Databases Curation 2015 (2015) - S. Arockiaraj, P. Mahalakshmi, P. Namasivayam:
Odd sum labeling of graphs obtained by duplicating any edge of some graphs. Electron. J. Graph Theory Appl. 3(2): 197-215 (2015) - Anneke W. Slis, Rohan Bali, Aravind Namasivayam, Dimitra Chaldi, Pascal van Lieshout:
Articulatory speech errors and word structure. ICPhS 2015 - 2013
- Vigneshwaran Namasivayam, Preeti Iyer, Jürgen Bajorath:
Prediction of Individual Compounds Forming Activity Cliffs Using Emerging Chemical Patterns. J. Chem. Inf. Model. 53(12): 3131-3139 (2013) - 2011
- Vigneshwaran Namasivayam, Preeti Iyer, Jürgen Bajorath:
Extraction of Discontinuous Structure-Activity Relationships from Compound Data Sets through Particle Swarm Optimization. J. Chem. Inf. Model. 51(7): 1545-1551 (2011) - Priyanko Guchait, Karthik Namasivayam, Pui-Wa Lei:
Knowledge Management in Service Encounters: Impact on Customers' Satisfaction Evaluations. J. Knowl. Manag. 15(3): 513-527 (2011) - 2009
- S. Nehru Viji, Arun Prasad Pandurangan, Gautham Namasivayam:
Protein-Ligand Docking Using Mutually Orthogonal Latin Squares (MOLSDOCK). J. Chem. Inf. Model. 49(12): 2687-2694 (2009) - 2008
- Arun Prasad Pandurangan, Gautham Namasivayam:
A new peptide docking strategy using a mean field technique with mutually orthogonal Latin square sampling. J. Comput. Aided Mol. Des. 22(11): 815-829 (2008) - 2006
- Vasanth Krishna Namasivayam, Viktor K. Prasanna:
Scalable Parallel Implementation of Exact Inference in Bayesian Networks. ICPADS (1) 2006: 143-150 - Vasanth Krishna Namasivayam, Animesh Pathak, Viktor K. Prasanna:
Scalable Parallel Implementation of Bayesian Network to Junction Tree Conversion for Exact Inference. SBAC-PAD 2006: 167-176 - 2005
- Arun Prasad Pandurangan, Vengadesan Krishnan, Gautham Namasivayam:
MOLS - A Program to Explore the Potential Energy Surface of a Peptide and Locate Its Low Energy Conformations. Silico Biol. 5(4): 401-405 (2005)
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