Ramanathan Subramanian

Research output

Research output per year 2004 2013 2014 2015 2017 2018 2022 2023 2024

• 54 Conference contribution
• 24 Article
• 5 Chapter
• 4 Paper
• 5 More
  • 3 Other chapter contribution
  • 1 Abstract
  • 1 Other

Research output per year

Research output per year

Search results

• 2024

  Exploring EEG-Based Affective Analysis and Detection of Parkinson's Disease

  Parameshwara, R., Narayana, S., Murugappan, M., Radwan, I., Goecke, R. & Subramanian, R., Sept 2024, In: Intelligent Computing. p. 1-25 25 p.

  Research output: Contribution to journal › Article › peer-review

• Foreign Influence in the 2022 U.S. Midterm Elections—A Case Study in Foreign Interference and Election Meddling

  JENSEN, M., Bachmann, S-D., Subramanian, R. & Gahalawat, M., 28 Jun 2024, In: Journal of Information Warfare. 23, 2, p. 1-23 23 p.

  Research output: Contribution to journal › Article › peer-review

• MARS: A Multiview Contrastive Approach to Human Activity Recognition from Accelerometer Sensor

  Sharma, G., Dhall, A. & Subramanian, R., Jan 2024, In: IEEE Sensors Letters. 8, 3, p. 1-4 4 p., 6002004.

  Research output: Contribution to journal › Article › peer-review

• StethoSpeech: Speech Generation Through a Clinical Stethoscope Attached to the Skin

  Shah, N., Sahipjohn, N., Tambrahalli, V., Subramanian, R. & Gandhi, V., 9 Sept 2024, In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 8, 3, p. 1-21 21 p.

  Research output: Contribution to journal › Article › peer-review
• 2023

  Hierarchical Autoencoder Frequency Features for Stress Detection

  Kuttala, R., Subramanian, R. & Oruganti, V. R. M., 18 Sept 2023, In: IEEE Access. 11, p. 103232-103241 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Frequency bands 100%
  • Error 84%
  • Classifier 77%
  • Deep learning 50%
  • Recurrent neural networks 29%

• Multimodal Hierarchical CNN Feature Fusion for Stress Detection

  Kuttala, R., Subramanian, R. & Oruganti, V. R. M., 24 Jan 2023, In: IEEE Access. 11, p. 6867-6878 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Convolutional neural networks 100%
  • Fusion reactions 88%
  • Frequency bands 24%
  • Electrocardiography 13%
  • Deep learning 12%
  24 Citations (Scopus)

  87 Downloads (Pure)
• 2022

  Dense attentive GAN-based one-class model for detection of autism and ADHD

  Kuttala, D., Mahapatra, D., Subramanian, R. & Oruganti, V. R. M., Nov 2022, In: Journal of King Saud University - Computer and Information Sciences. 34, 10, p. 10444-10458 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Magnetic resonance 100%
  • Experiments 34%
  15 Citations (Scopus)

  120 Downloads (Pure)

• Joint Modality Features in Frequency Domain for Stress Detection

  Radhika, K., Subramanian, R. & Oruganti, V. R. M., 3 Jun 2022, In: IEEE Access. 10, p. 57201-57211 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Fusion reactions 100%
  • Decomposition 80%
  • Electrocardiography 61%
  • Feature extraction 47%
  • Machine learning 45%
  7 Citations (Scopus)

  45 Downloads (Pure)

• Outlier-based Autism Detection using Longitudinal Structural MRI

  Devika, K., Mahapatra, D., Subramanian, R. & Oruganti, V. R. M., 2022, In: IEEE Access. 10, p. 27794-27808 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Magnetic Resonance Imaging 100%
  • Magnetic resonance imaging 92%
  • Disorder 75%
  • Discriminators 27%
  • Anomaly detection 22%
  16 Citations (Scopus)

• Recognition of Advertisement Emotions with Application to Computational Advertising

  Shukla, A., Gullapuram, S. S., Katti, H., Kankanhalli, M., Winkler, S. & Subramanian, R., 2022, In: IEEE Transactions on Affective Computing. 13, 2, p. 781-792 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Audiovisual 100%
  • Marketing 83%
  • Electroencephalography 83%
  • Convolutional neural networks 52%
  • Multi-task learning 38%
  19 Citations (Scopus)
• 2019

  The effect of eye movements in response to different types of scenes using a graph-based visual saliency algorithm

  Wahid, M., Waris, A., Gilani, S. O. & Subramanian, R., 9 Dec 2019, In: Applied Sciences (Switzerland). 9, 24, p. 1-11 5378.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • emotions 100%
  • eye movements 93%
  • Eye movements 73%
  • clips 64%
  • Pixels 49%
  5 Citations (Scopus)

  49 Downloads (Pure)
• 2018

  Ascertain: Emotion and personality recognition using commercial sensors

  Subramanian, R., Wache, J., Abadi, M. K., Vieriu, R. L., Winkler, S. & Sebe, N., Apr 2018, In: IEEE Transactions on Affective Computing. 9, 2, p. 147-160 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Sensors 100%
  • Electrocardiography 96%
  • Electroencephalography 93%
  • Skin 84%
  • Statistics 73%
  336 Citations (Scopus)

• Joint Estimation of Human Pose and Conversational Groups from Social Scenes

  Varadarajan, J., Subramanian, R., Bulò, S. R., Ahuja, N., Lanz, O. & Ricci, E., 1 Apr 2018, In: International Journal of Computer Vision. 126, 2-4, p. 410-429 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Supervised learning 100%
  • Learning algorithms 78%
  • Cameras 66%
  • Experiments 33%
  27 Citations (Scopus)

• Watch to edit: Video retargeting using gaze

  Rachavarapu, K. K., Kumar, M., Gandhi, V. & Subramanian, R., 22 May 2018, In: Computer Graphics Forum. 37, 2, p. 205-215 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Watches 100%
  • Cameras 56%
  • Video recording 50%
  • Eye tracking 46%
  • Convex optimization 42%
  23 Citations (Scopus)
• 2017

  A Probabilistic Approach to People-Centric Photo Selection and Sequencing

  Vonikakis, V., Subramanian, R., Arnfred, J. & Winkler, S., Nov 2017, In: IEEE Transactions on Multimedia. 19, 11, p. 2609-2624 16 p., 7914701.

  Research output: Contribution to journal › Article › peer-review

  • Crowdsourcing 100%
  • Inductive logic programming (ILP) 56%
  • Linear programming 39%
  19 Citations (Scopus)
• 2016

  Active domain adaptation with noisy labels for multimedia analysis

  Liu, G., Yan, Y., Subramanian, R., Song, J., Lu, G. & Sebe, N., Mar 2016, In: World Wide Web. 19, 2, p. 199-215 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Labeled data 100%
  • Problem-Based Learning 98%
  • Labels 72%
  • Supervised learning 30%
  • Tuning 22%
  6 Citations (Scopus)

• A Multi-Task Learning Framework for Head Pose Estimation under Target Motion

  Yan, Y., Ricci, E., Subramanian, R., Liu, G., Lanz, O. & Sebe, N., 1 Jun 2016, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 6, p. 1070-1083 14 p., 7254213.

  Research output: Contribution to journal › Article › peer-review

  • Multi-task Learning 100%
  • Pose Estimation 99%
  • Multi-task learning 78%
  • Target 49%
  • Motion 42%
  111 Citations (Scopus)

• SALSA: A novel dataset for multimodal group behavior analysis

  Alameda-Pineda, X., Staiano, J., Subramanian, R., Batrinca, L., Ricci, E., Lepri, B., Lanz, O. & Sebe, N., 1 Aug 2016, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 8, p. 1707-1720 14 p., 7313015.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Social Interaction 100%
  • Reverberation 80%
  • Image resolution 70%
  • Bluetooth 68%
  • Microphones 68%
  107 Citations (Scopus)
• 2015

  DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses

  Abadi, M. K., Subramanian, R., Kia, S. M., Avesani, P., Patras, I. & Sebe, N., 1 Jul 2015, In: IEEE Transactions on Affective Computing. 6, 3, p. 209-222 14 p., 7010926.

  Research output: Contribution to journal › Article › peer-review

  • Human computer interaction 100%
  • Electrocardiography 97%
  • Electroencephalography 95%
  • Infrared radiation 85%
  • Decoding 84%
  242 Citations (Scopus)
• 2014

  Emotion modulates eye movement patterns and subsequent memory for the gist and details of movie scenes

  Subramanian, R., Shankar, D., Sebe, N. & Melcher, D., 2014, In: Journal of Vision. 14, 3, p. 1-18 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Motion Pictures 100%
  • Eye Movements 95%
  • Surgical Instruments 89%
  • Emotions 72%
  • Memory 67%
  42 Citations (Scopus)

• Exploring transfer learning approaches for head pose classification from multi-view surveillance images

  Kolar Rajagopal, A., Subramanian, R., Ricci, E., Vieriu, R. L., Lanz, O., Kalpathi R., R. & Sebe, N., Aug 2014, In: International Journal of Computer Vision. 109, 1-2, p. 146-167 22 p.

  Research output: Contribution to journal › Article › peer-review

  • Transfer learning 100%
  • Benchmarking 21%
  • Labeling 20%
  • Cameras 14%
  47 Citations (Scopus)

• Multitask linear discriminant analysis for view invariant action recognition

  Yan, Y., Ricci, E., Subramanian, R., Liu, G. & Sebe, N., 1 Dec 2014, In: IEEE Transactions on Image Processing. 23, 12, p. 5599-5611 13 p., 6939719.

  Research output: Contribution to journal › Article › peer-review

  • Discriminant analysis 100%
  • Multi-task learning 31%
  • Linear regression 23%
  147 Citations (Scopus)
• 2012

  Connecting meeting behavior with extraversion-a systematic study

  Lepri, B., Subramanian, R., Kalimeri, K., Staiano, J., Pianesi, F. & Sebe, N., 2012, In: IEEE Transactions on Affective Computing. 3, 4, p. 443-455 13 p., 6212435.

  Research output: Contribution to journal › Article › peer-review
  67 Citations (Scopus)
• 2008

  Impact of vertex clustering on registration-based 3D dynamic mesh coding

  Ramanathan, S., Kassim, A. A. & Tan, T. S., 2 Jul 2008, In: Image and Vision Computing. 26, 7, p. 1012-1026 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Clustering algorithms 100%
  7 Citations (Scopus)