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ORCIDAndrei Dragomir
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2020 – today
- 2024
[j17]Mengting Jiang
, Oranatt Chaichanasittikarn, Manuel S. Seet, Desmond Ng, Rahul Vyas, Gaurav Saini, Andrei Dragomir:
Modulating Driver Alertness via Ambient Olfactory Stimulation: A Wearable Electroencephalography Study. Sensors 24(4): 1203 (2024)- 2023
- [j16]Jamie Vovrosh, Andrei Dragomir, Ben Stray, Daniel Boddice:
Advances in Portable Atom Interferometry-Based Gravity Sensing. Sensors 23(17): 7651 (2023) - [j15]Manuel S. Seet, Anastasios Bezerianos, Maria Panou, Evangelos Bekiaris, Nitish V. Thakor, Andrei Dragomir:
Individual Susceptibility to Vigilance Decrement in Prolonged Assisted Driving Revealed by Alert-State Wearable EEG Assessment. IEEE Trans. Cogn. Dev. Syst. 15(3): 1586-1594 (2023) - [c28]Oranatt Chaichanasittikarn, Mengting Jiang, Manuel S. Seet, Mariana Saba, Junji Hamano, Andrei Dragomir:
Wearable EEG-Based Classification of Odor-Induced Emotion. NER 2023: 1-4 - 2022
- [j14]Tao Xu, Andrei Dragomir, Xucheng Liu, Haojun Yin, Feng Wan, Anastasios Bezerianos, Hongtao Wang:
An EEG study of human trust in autonomous vehicles based on graphic theoretical analysis. Frontiers Neuroinformatics 16 (2022) - [j13]Manuel S. Seet, Jonathan Harvy, Rohit Bose, Andrei Dragomir, Anastasios Bezerianos, Nitish V. Thakor:
Differential Impact of Autonomous Vehicle Malfunctions on Human Trust. IEEE Trans. Intell. Transp. Syst. 23(1): 548-557 (2022) - [c27]Mengting Jiang, Stavros I. Dimitriadis, Manuel S. Seet, Junji Hamano, Mariana Saba, Nitish V. Thakor, Andrei Dragomir:
Multilayer Network Framework Reveals Cross-Frequency Coupling Hubs in Cortical Olfactory Perception. EMBC 2022: 3338-3341 - [c26]Alexandru Marin Mariniuc, Dorian Cojocaru, Liviu Florin Manta, Andrei Dragomir, Marian Marcel Abagiu:
Using 3D Scanning Techniques from Robotic Applications in the Constructions Domain. ICSTCC 2022: 170-175 - 2021
- [c25]Fotis P. Kalaganis, Manuel S. Seet, Kostas Georgiadis, Vangelis P. Oikonomou, Nikolaos A. Laskaris, Spiros Nikolopoulos, Ioannis Kompatsiaris, Maria Panou, Andrei Dragomir, Anastasios Bezerianos:
Reconstructing EOG From EEG Timeseries: A Spatial Filtering Approach. EMBC 2021: 395-398 - [c24]Jazreel Low, Manuel S. Seet, Junji Hamano, Mariana Saba, Nitish V. Thakor, Andrei Dragomir:
Community Analysis of Brain Functional Networks Reveals Systems-Level Integration in Olfactory Hedonic Perception. EMBC 2021: 5995-5998 - [c23]Manuel S. Seet, Amritha V. Devarajan, Jazreel J. L. Low, Junji Hamano, Mariana Saba, Nitish V. Thakor, Andrei Dragomir:
Wearable EEG Entropy and Spectral Measures for Classification of Consumer Reward-based Evaluation of Odor Stimuli. EMBC 2021: 5999-6002 - [c22]Keqin Ding, Andrei Dragomir, Rohit Bose, Luke Osborn, Manuel S. Seet, Anastasios Bezerianos, Nitish V. Thakor:
Sensory Stimulation Enhances Functional Connectivity towards the Somatosensory Cortex in Upper Limb Amputation. NER 2021: 226-229 - [c21]Manuel S. Seet, Nida Itrat Abbasi, Junji Hamano, Anumita Chaudhury, Nitish V. Thakor, Andrei Dragomir:
Lateralized Frontal-to-Temporal Cross-Frequency Coupling in Cortical Processing of Pleasant Odors. NER 2021: 900-903 - 2020
- [j12]Rohit Bose, Hongtao Wang, Andrei Dragomir, Nitish V. Thakor, Anastasios Bezerianos, Junhua Li:
Regression-Based Continuous Driving Fatigue Estimation: Toward Practical Implementation. IEEE Trans. Cogn. Dev. Syst. 12(2): 323-331 (2020) - [c20]Nida Itrat Abbasi, Anastasios Bezerianos, Junji Hamano, Anumita Chaudhury, Nitish V. Thakor, Andrei Dragomir:
Evoked Brain Responses in Odor Stimuli Evaluation - an EEG Event Related Potential Study. EMBC 2020: 2861-2864 - [c19]Manuel S. Seet, Md. Rafiul Amin, Nida Itrat Abbasi, Junji Hamano, Anumita Chaudhury, Anastasios Bezerianos, Rose T. Faghih, Nitish V. Thakor, Andrei Dragomir:
Olfactory-induced Positive Affect and Autonomic Response as a Function of Hedonic and Intensity Attributes of Fragrances. EMBC 2020: 3170-3173 - [c18]Rohit Bose, Keqin Ding, Manuel S. Seet, Luke Osborn, Anastasios Bezerianos, Nitish V. Thakor, Andrei Dragomir:
Sensory Feedback in Upper Limb Amputees Impacts Cortical Activity as Revealed by Multiscale Connectivity Analysis. EMBC 2020: 3844-3847 - [c17]Panos Balomenos, Andrei Dragomir, Athanasios K. Tsakalidis, Anastasios Bezerianos:
Identification of differentially expressed subpathways via a bilevel consensus scoring of network topology and gene expression. EMBC 2020: 5316-5319 - [c16]Nida Itrat Abbasi, Sony Saint-Auret, Junji Hamano, Anumita Chaudhury, Anastasios Bezerianos, Nitish V. Thakor, Andrei Dragomir:
Decoding Olfactory Cognition: EEG Functional Modularity Analysis Reveals Differences in Perception of Positively-Valenced Stimuli. ICONIP (3) 2020: 79-89 - [c15]Manuel S. Seet, Andrei Dragomir, Ilakya Mathialagan, Lim Yi Ann, Zahirah binte Zaid, Satish L. Ramapatna, Nitish V. Thakor, Anastasios Bezerianos:
Subtype Divergences of Trust in Autonomous Vehicles: Towards Optimisation of Driver-Vehicle Trust Management. ITSC 2020: 1-6 - [c14]Stefania Cerasela Patrascu Domokos, Andrei Dragomir, Silvia Nicoleta Mirica, Martin Petru Domokos, Ion Silviu Borozan, Adrian Nagel, Veronica Argesanu:
Kinematic quantification of knee joint asymmetry during preparatory phase of a standing backward tucked salto. SISY 2020: 49-54
2010 – 2019
- 2019
- [j11]Ioannis A. Maraziotis, Stavros J. Perantonis, Andrei Dragomir, Dimitris Thanos:
K-Nets: Clustering through nearest neighbors networks. Pattern Recognit. 88: 470-481 (2019) - [j10]Andrei Dragomir, Aristidis G. Vrahatis, Anastasios Bezerianos:
A Network-Based Perspective in Alzheimer's Disease: Current State and an Integrative Framework. IEEE J. Biomed. Health Informatics 23(1): 14-25 (2019) - [c13]Panos Balomenos, Andrei Dragomir, Athanasios K. Tsakalidis, Anastasios Bezerianos:
Identification of Differentially Expressed Subpathways using a Consensus Approach. BIBE 2019: 194-198 - [c12]Nida Itrat Abbasi, Rohit Bose, Anastasios Bezerianos, Nitish V. Thakor, Andrei Dragomir:
EEG-Based Classification of Olfactory Response to Pleasant Stimuli. EMBC 2019: 5160-5163 - [c11]Dorian Cojocaru, Liviu Florin Manta, Ionel Cristinel Vladu, Andrei Dragomir, Alexandru Marin Mariniuc:
Using an Eye Gaze New Combined Approach to Control a Wheelchair Movement. ICSTCC 2019: 626-631 - [c10]Rohit Bose, Andrei Dragomir, Fumihiko Taya, Nitish V. Thakor, Anastasios Bezerianos:
Role of Cross-Frequency Coupling in the Frontal and Parieto-Occipital Subnetwork during Creative Ideation. NER 2019: 623-626 - [c9]Nida Itrat Abbasi, Rohit Bose, Yaswanth Kumar, Indu P. Bodala, Anastasios Bezerianos, Nitish V. Thakor, Andrei Dragomir:
Altered Regional Brain Communities during High Order Cognitive Processes: Relation to Vigilance Decrement. NER 2019: 631-634 - [c8]Nida Itrat Abbasi, Jonathan Harvy, Anastasios Bezerianos, Nitish V. Thakor, Andrei Dragomir:
Topological Re-Organisation of the Brain Connectivity During Olfactory Adaptation - an EEG Functional Connectome Study. NER 2019: 635-638 - 2018
- [j9]Andrei Dragomir, Joseph Betthauser, Christopher L. Hunt, Harrison Nguyen, Rahul R. Kaliki, Nitish V. Thakor:
Prosthesis with neuromorphic multilayered e-dermis perceives touch and pain. Sci. Robotics 3(19) (2018) - [c7]Rohit Bose, Kumar Ashutosh, Junhua Li, Andrei Dragomir, Nitish V. Thakor, Anastasios Bezerianos:
A Multilayer Network Approach for Studying Creative Ideation from EEG. BI 2018: 294-303 - 2017
- [b2]Anastasios Bezerianos, Andrei Dragomir, Panos Balomenos:
Computational Methods for Processing and Analysis of Biological Pathways. Springer Briefs in Computer Science, Springer 2017, ISBN 978-3-319-53867-9, pp. 1-87 - [j8]Pinar Kanlikilicer, Die Zhang, Andrei Dragomir, Yasemin M. Akay, Metin Akay:
Gene expression profiling of midbrain dopamine neurons upon gestational nicotine exposure. Medical Biol. Eng. Comput. 55(3): 467-482 (2017) - 2016
- [j7]Andrei Dragomir, Allison Post, Yasemin M. Akay, Hani Jneid, David Paniagua, Ali Denktas, Biykem Bozkurt, Metin Akay:
Acoustic Detection of Coronary Occlusions before and after Stent Placement Using an Electronic Stethoscope. Entropy 18(8): 281 (2016) - [j6]Altug Akay, Andrei Dragomir, Bjorn-Erik Erlandsson:
Assessing Antidepressants Using Intelligent Data Monitoring and Mining of Online Fora. IEEE J. Biomed. Health Informatics 20(4): 977-986 (2016) - 2015
- [j5]Altug Akay, Andrei Dragomir, Bjorn-Erik Erlandsson:
Network-Based Modeling and Intelligent Data Mining of Social Media for Improving Care. IEEE J. Biomed. Health Informatics 19(1): 210-218 (2015) - [j4]Altug Akay, Andrei Dragomir, Bjorn-Erik Erlandsson:
A Novel Data-Mining Approach Leveraging Social Media to Monitor Consumer Opinion of Sitagliptin. IEEE J. Biomed. Health Informatics 19(1): 389-396 (2015) - 2013
- [c6]A. Akay, Andrei Dragomir, Bjorn-Erik Erlandsson:
A novel data-mining platform leveraging social media to monitor outcomes of Januvia. EMBC 2013: 7484-7487 - 2012
- [c5]Georgios N. Dimitrakopoulos, Kyriakos N. Sgarbas, Konstantina Dimitrakopoulou, Andrei Dragomir, Anastasios Bezerianos, Ioannis A. Maraziotis:
Multi-scale modeling of gene regulatory networks via integration of temporal and topological biological data. EMBC 2012: 1242-1245 - 2011
- [j3]Ting Y. Chen, Die Zhang, Andrei Dragomir, Yasemin M. Akay, Metin Akay:
The effects of nicotine exposure and PFC transection on the time-frequency distribution of VTA DA neurons' firing activities. Medical Biol. Eng. Comput. 49(5): 605-612 (2011) - 2010
- [j2]Ioannis A. Maraziotis, Andrei Dragomir, Dimitris Thanos:
Gene regulatory networks modelling using a dynamic evolutionary hybrid. BMC Bioinform. 11: 140 (2010)
2000 – 2009
- 2009
- [j1]Altug Akay, Andrei Dragomir, Ahmet Yardimci, Duran Canatan, Akif Yesilipek, Brian W. Pogue:
A Data-Mining Approach for Investigating Social and Economic Geographical Dynamics of beta-Thalassemia's Spread. IEEE Trans. Inf. Technol. Biomed. 13(5): 774-780 (2009) - 2006
- [b1]Andrei Dragomir:
Discovery of gene interactions in regulatory networks using genomic data mining and computational intelligence methods. University of Patras, Greece, 2006 - [c4]Andrei Dragomir, Ioannis A. Maraziotis, Anastasios Bezerianos:
An Ensemble Approach for Phenotype Classification Based on Fuzzy Partitioning of Gene Expression Data. EMBC 2006: 5834-5837 - [c3]Ioannis A. Maraziotis, Andrei Dragomir, Anastasios Bezerianos:
Semi Supervised Fuzzy Clustering Networks for Constrained Analysis of Time-Series Gene Expression Data. ICANN (2) 2006: 818-826 - 2005
- [c2]Ioannis A. Maraziotis, Andrei Dragomir, Anastasios Bezerianos:
Recurrent Neuro-fuzzy Network Models for Reverse Engineering Gene Regulatory Interactions. CompLife 2005: 24-34 - 2003
- [c1]Seferina Mavroudi, Andrei Dragomir, Stergios Papadimitriou, Anastasios Bezerianos:
Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis. ICANN 2003: 262-270
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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