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SAIL Publications

AggarwalAgrawalAlexanderAlwanAnanthakrishnanAnnavaramArdulovArevianArunachalamAudhkhasiBalasubramanianBangayanBaruahBaucomBelvinBenitezBlackBlaylockBoneBoothBreschBulutBuntschuhBurghardtBussoByrdC.CakmakCanCassaniCenChakravarthulaChakravarthula}ChaspariChatziagapiChenChiuChoudharyChuDengDibazarDuranteDuttonEmkenEspy-WilsonEttelaieEybenFabbrizioFarahaniFarantouriFengFlemotomosGaballahGanapathyGanjaviGeorgiouGerosaGhoshGibsonGiraultGoldbergGoyalGreerGrimmGrunwaldGuhaGuptaGurunathHadjiantonisHagedornHanHarperHebbarHirschHsiehHuangImelIsraelJatiJohnsonJungKalinliKammKaoKatoKatsamanisKazemzadehKimKnoxKrishnamachariKumarKwonL'HommedieuLahiriLajonchereLammertLeeLevinLiLimLinLingalaLiuLordLuoLynnMaMalandrakisMartinezMcErleanMcMickenMeesookhoMeirelesMetallinouMitraMolinaMontanariMonteserinMorbiniMoschopoulosMoteMouchtarisMowerMundnichMurrayNadarajanNarayananNasirNavaOhPacePalPalogiannidiPapadopoulosParkParrellPatilPazPeriPotamianosPrasadPriceProctorQinRahimRamakrishnaRamanarayananRangarajanRaoRavuriRiccardiRichardRoqueRoseRozgicSchullerSebastianSethyShahSharonShieldShihShinShivakumar}SilvaSinglaSivakumarSkordilisSmithSomaSomandapelliSomandepalliSorensenSpruijt-MetzSridharSrinivasamurthySubramanyamSuendermannSundaramSwartoutTadimariTanTavabiTeppermanThatteThomasTianTimmonsTiwariToutiosTraumTravadiTsengTsiartasTsuzukiTögerUnalVanVazWalkerWangWollmerWuWöllmerXezonakiXiaXiaoYanYangYildirimYouZaneZeljkovicZervanouZhaoZhuZuGiannakopoulos


Aggarwal

Agrawal

Alexander

Alwan

Ananthakrishnan

Annavaram

Ardulov

  • Victor Ardulov, Victor R Martinez, Krishna Somandepalli, Shuting Zheng, Emma Salzman, Catherine Lord, Somer Bishop, and Shrikanth Narayanan. Robust diagnostic classification via Q-learning. Scientific reports, 11(1):1–9, Nature Publishing Group, 2021.
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  • Victor Ardulov, Madelyn Mendlen, Manoj Kumar, Neha Anand, Shanna Williams, Thomas Lyon, and Shrikanth Narayanan. Multimodal Interaction Modeling of Child Forensic Interviewing. In In proceedings of International Conference on Multimodal Interaction, October 2018.
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  • Victor Ardulov, Zane Durante, Shana Williams, Thomas Lyon, and Shrikanth Narayanan. Identifying Truthful Language in Child Interviews. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8074–8078, , May 2020.
    details     doi    pdf 

Arevian

Arunachalam

Audhkhasi

Balasubramanian

Bangayan

Baruah

Baucom

Belvin

Benitez

Black

Blaylock

Bone

Booth

Bresch

Bulut

Buntschuh

Burghardt

  • Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, and Kristina Lerman. Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pp. 257–267, 2021.
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Busso

Byrd

C.

Cakmak

Can

Cassani

  • Raymond Cassani, Shrikanth S. Narayanan, and Tiago Falk. RESPIRATION RATE ESTIMATION FROM NOISY ELECTROCARDIOGRAMS BASED ON MODULATION SPECTRAL ANALYSIS. In Proceedings of 2018 Canadian Medical & Biological Engineering Conference, Charlottetown, Canada, may 2018.
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Cen

  • Lingkai Cen, Joon-Ho Choi, Xiaomeng Yao, Yolanda Gil, Shrikanth Narayanan, and Maryann Pentz. A Personal Visual Comfort Model: Predict Individual’s Visual Comfort Using Occupant Eye Pupil Size and Machine Learning. In In proceedings of 10th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings (IAQVEC2019), September 2019.
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Chakravarthula

Chakravarthula}

Chaspari

Chatziagapi

Chen

Chiu

  • Ming-Chang Chiu, Tiantian Feng, Xiang Ren, and Shrikanth Narayanan. Screenplay Quality Assessment: Can We Predict Who Gets Nominated?. In Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, pp. 11–16, Association for Computational Linguistics, Online, July 2020.
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Choudhary

Chu

Deng

Dibazar

Durante

  • Zane Durante, Victor Ardulov, Manoj Kumar, Jennifer Gongola, Thomas Lyon, and Shrikanth Narayanan. Causal indicators for assessing the truthfulness of child speech in forensic interviews. Computer Speech & Language, 71:101263, 2022.
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Dutton

Emken

Espy-Wilson

Ettelaie

Eyben

Fabbrizio

Farahani

Farantouri

Feng

  • Tiantian Feng, Brandon M Booth, Brooke Baldwin-Rodríguez, Felipe Osorno, and Shrikanth Narayanan. A multimodal analysis of physical activity, sleep, and work shift in nurses with wearable sensor data. Scientific Reports, 11(1):1–12, Nature Publishing Group, 2021.
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  • Tiantian Feng, Amrutha Nadarajan, Colin Vaz, Brandon M. Booth, and Shrikanth S. Narayanan. TILES Audio Recorder: An unobtrusive wearable solution to track audio activity. In WearSys '18: 4th ACM Workshop on Wearable Systems and Applications, Munich, Germany, june 2018.
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  • Tiantian Feng and Shrikanth Narayanan. Discovering Optimal Variable-length Time Series Motifs in Large-Scale Wearable Recordings of Human Bio-behavioral Signals. In Proceedings of ICASSP, May 2019.
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  • Tiantian Feng and Shrikanth Narayanan. Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable Recordings Using Bidirectional Recurrent Neural Networks With Temporal Activation. In In proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19), July 2019.
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  • Tiantian Feng and Shrikanth Narayanan. Modeling Behavioral Consistency In Large-Scale Wearable Recordings of Human Bio-behavioral Signals. In Proceedings of ICASSP, May 2020.
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  • Tiantian Feng, Brandon Booth, and Shrikanth Narayanan. Modeling Behavior as Mutual Dependency Between Physiological Signals and Indoor Location In Large-Scale Wearable Sensor Study. In Proceedings of ICASSP, May 2020.
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  • Tiantian Feng and Shrikanth Narayanan. Movement Behavior Among Nursing Profession. In In proceedings of 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2020.
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Flemotomos

Gaballah

  • Amr Gaballah, Abhishek Tiwari, Shrikanth Narayanan, and Tiago Falk. Context-Aware Speech Stress Detection in Hospital Workers Using Bi-LSTM Classifiers. In In proceedings of ICASSP, May 2021.
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Ganapathy

Ganjavi

Georgiou

Gerosa

Ghosh

Gibson

Girault

Goldberg

Goyal

Greer

Grimm

Grunwald

Guha

Gupta

Gurunath

Hadjiantonis

  • George Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon Booth, Shrikanth Narayanan, and Theodora Chaspari. Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. In In proceedings of 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2020), July 2020.
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Hagedorn

Han

Harper

Hebbar

  • Rajat Hebbar, Krishna Somandepalli, Raghuveer Peri, Ruchir Travadi, Tracy Tuplin, Fernando Rivera, and Shrikanth Narayanan. A Computational Tool to Study Vocal Participation of Women in UN-ITU Meetings. In 2021 International Conference on Content-Based Multimedia Indexing (CBMI), pp. 1–4, , 2021.
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  • Rajat Hebbar, Krishna Somandepalli, and Shrikanth S. Narayanan. Improving Gender Identification in Movie Audio using Cross-Domain Data. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
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  • Rajat Hebbar, Krishna Somandepalli, and Shrikanth Narayanan. Robust Speech Activity Detection in Movie Audio: Data Resources and Experimental Evaluation. In Proceedings of ICASSP, May 2019.
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  • Ashwin Hebbar, Rahul Sharma, Krishna Somandepalli, Asterios Toutios, and Shrikanth Narayanan. Vocal tract articulatory contour detection in real time magnetic resonance images using spatio temporal context. In Proceedings of ICASSP, May 2020.
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  • Rajat Hebbar, Pavlos Papadopoulos, Ramon Reyes, Alexander F. Danvers, Angelina J. Polsinelli, Suzanne A. Moseley, David A. Sbarra, Matthias R. Mehl, and Shrikanth Narayanan. Deep multiple instance learning for foreground speech localization in ambient audio from wearable devices. EURASIP Journal on Audio, Speech, and Music Processing, pp. , 2021.
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Hirsch

Hsieh

Huang

  • Che Wei Huang, Bo Xiao, Panayiotis Georgiou, and Shrikanth Narayanan. Unsupervised Speaker Diarization Using Riemannian Manifold Clustering. In Proceedings of Interspeech, sep 2014.
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  • Che Wei Huang and Shrikanth S. Narayanan. Attention Assisted Discovery of Sub-Utterance Structure in Speech Emotion Recognition. In Proceedings of Interspeech, 2016.
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  • Che Wei Huang and Shrikanth S. Narayanan. Comparison of Feature-level and Kernel-level Data Fusion Methods in Multi-Sensory Fall Detection. In Proceedings of IEEE Workshop on Multimedia Signal Processing, pp. 1–6, 2016.
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  • Che Wei Huang and Shrikanth S. Narayanan. Flow Of Renyi Information In Deep Neural Networks. In IEEE International Workshop of Machine Learning for Signal Processing, 2016.
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  • Che-Wei Huang and Shrikanth Narayanan. Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition. In Proceedings of the IEEE International Conference on Multimedia & Expo, 2017.
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  • Che Wei Huang and Shrikanth S. Narayanan. Deep Convolutional Recurrent Neural Network with Attention Mechanism for Robust Speech Emotion Recognition. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), jul 2017.
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  • Che-Wei Huang and Shrikanth Narayanan. Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition. IEEE Transactions on Affective Computing, 2018.
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  • Che-Wei Huang and Shrikanth Narayanan. SHAKING ACOUSTIC SPECTRAL SUB-BANDS CAN BETTER REGULARIZE LEARNING IN AFFECTIVE COMPUTING. In Proceedings of ICASSP, April 2018.
    details    
  • Che-Wei Huang and Shrikanth S. Narayanan. Stochastic Shake-Shake Regularization for Affective Learning from Speech. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
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  • Che-Wei Huang and Shrikanth Narayanan. On Role and Location of Normalization Before Model-based Data Augmentation in Residual Blocks for Classification Tasks. In Proceedings of ICASSP, May 2019.
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Imel

Israel

Jati

Johnson

Jung

Kalinli

Kamm

Kao

  • Hsien-Te Kao, Shen Yan, Homa Hosseinmardi, Shrikanth Narayanan, Kristina Lerman, and Emilio Ferrara. User-Based Collaborative Filtering Mobile Health System. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4):1–17, ACM New York, NY, USA, 2020.
    details    
  • Jiun-Yu Kao, Antonio Ortega, and Shrikanth Narayanan. Graph-based Approach for Motion Capture Data Representation and Analysis. In Proceedings of IEEE International Conference on Image Processing, oct 2014.
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  • Hsien-Te Kao, Homa Hosseinmardi, Shen Yan, Michelle Hasan, Shrikanth Narayanan, Kristina Lerman, and Emilio Ferrara. Discovering Latent Psychological Structures from Self-report Assessments of Hospital Workers. In In proceedings of Proceedings of the 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing, November 2018.
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Kato

Katsamanis

Kazemzadeh

Kim

Knox

  • Dillon Knox, Timothy Greer, Benjamin Ma, Emily Kuo, Krishna Somandepalli, and Shrikanth Narayanan. Loss Function Approaches for Multi-label Music Tagging. In 2021 International Conference on Content-Based Multimedia Indexing (CBMI), pp. 1–4, , 2021.
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Krishnamachari

Kumar

Kwon

L'Hommedieu

  • Michelle L'Hommedieu, Justin H. L'Hommedieu, Cynthia Begay, Alison Schenone, Lida Dimitropoulou, Gayla Margolin, Tiago H. Falk, Emilio Ferrara, Kristina Lerman, and Shrikanth Narayanan. Lessons Learned: Recommendations for Implementing A Longitudinal Study Using Wearable and Environmental Sensors in a Healthcare Organization. J Med Internet Res (JMIR) mHealth and uHealth, 7(12):e13305, Dec 2019.
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Lahiri

Lajonchere

Lammert

Lee

Levin

Li

Lim

Lin

Lingala

Liu

Lord

Luo

  • Qinyi Luo, Rahul Gupta, and Shrikanth Narayanan. TRANSFER LEARNING BETWEEN CONCEPTS FOR HUMAN BEHAVIOR MODELING: AN APPLICATION TO SINCERITY AND DECEPTION PREDICTION. In Proceedings of Interspeech, August 2017.
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Lynn

Ma

  • Benjamin Ma, Timothy Greer, Dillon Knox, and Shrikanth Narayanan. A computational lens into how music characterizes genre in film. PLOS ONE, 16(4):1–14, Public Library of Science, 04 2021.
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  • Benjamin Ma, Timothy Greer, Matthew Sachs, Assal Habibi, Jonas Kaplan, and Shrikanth Narayanan. Predicting Human-Reported Enjoyment Responses in Happy and Sad Music. In Proceedings of 8th International Conference on Affective Computing & Intelligent Interaction, September 2019.
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Malandrakis

Martinez

McErlean

McMicken

  • Betty McMicken, Frederico Salles, Shelley Von Berg, Margaret Vento-Wilson, Kelly Rogers, Asterios Toutios, and Shrikanth Narayanan. Bilabial Substitution Patterns during Consonant Production in a Case of Congenital Aglossia. Journal of Communication Disorders, Deaf Studies and Hearing Aids, 5(2):175, September 2017.
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Meesookho

Meireles

Metallinou

Mitra

Molina

Montanari

Monteserin

Morbini

Moschopoulos

Mote

Mouchtaris

Mower

Mundnich

Murray

  • Thomas J. Murray, IV, Panayiotis Georgiou, and Shrikanth S. Narayanan. Knowledge as a constraint on uncertainty for unsupervised classification: A study in part-of-speech tagging. In Proceedings of the International Conference on Machine Learning (ICML), Helsinki, Finland, jul 2008.
    details    pdf 

Nadarajan

  • Amrutha Nadarajan, Krishna Somandepalli, and Shrikanth Narayanan. Speaker Agnostic Foreground Speech Detection From Audio Recordings in Workplace Settings From Wearable Recorders. In Proceedings of ICASSP, May 2019.
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Narayanan

Nasir

Nava

Oh

Pace

Pal

Palogiannidi

Papadopoulos

Park

Parrell

Patil

Paz

  • Adar Paz, Eshkol Rafaeli, Eran Bar-Kalifa, Eva Gilboa-Schectman, Sharon Gannot, Bracha Laufer-Goldshtein, Shrikanth Narayanan, Joseph Keshet, and Dana Atzil-Slonim. Intrapersonal and interpersonal vocal affect dynamics during psychotherapy.. Journal of Consulting and Clinical Psychology, 89(3):227, American Psychological Association, 2021.
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Peri

  • Raghuveer Peri, Haoqi Li, Krishna Somandepalli, Arindam Jati, and Shrikanth Narayanan. An empirical analysis of information encoded in disentangled neural speaker representations. In Proceedings of Odyssey, November 2020.
    details    
  • Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, and Shrikanth Narayanan. Robust speaker recognition using unsupervised adversarial invariance. In Proceedings of ICASSP, May 2020.
    details     doi    pdf 

Potamianos

Prasad

Price

Proctor

Qin

  • Xiaoyi Qin, Ming Li, Hui Bu, Wei Rao, Rohan Das, Shrikanth Narayanan, and Haizhou Li. The INTERSPEECH 2020 Far-Field Speaker Verification Challenge. In In proceedings of Interspeech, October 2020.
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Rahim

Ramakrishna

Ramanarayanan

Rangarajan

Rao

Ravuri

Riccardi

Richard

Roque

Rose

Rozgic

Schuller

Sebastian

  • Jilt Sebastian, Manoj Kumar, Pavan Kumar D S., Mathew Magimai Doss, Hema Murthy, and Shrikanth S. Narayanan. Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
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Sethy

Shah

Sharon

  • Rini Sharon, Shrikanth Narayanan, Mriganka Sur, and Hema Murthy. An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG. In Proceedings of ICASSP, May 2019.
    details    
  • Rini Sharon, Shrikanth Narayanan, Mriganka Sur, and Hema Murthy. Neural Speech Decoding During Audition, Imagination and Production. IEEE Access, 8:149714 – 149729, August 2020.
    details     doi    pdf 

Shield

Shih

Shin

Shivakumar}

  • Prashanth Gurunath Shivakumar and Shrikanth Narayanan. End-to-end neural systems for automatic children speech recognition: An empirical study. Computer Speech & Language, 72:101289, 2022.
    details     doi    pdf 

Silva

Singla

Sivakumar

Skordilis

Smith

  • Justin D. Smith, Cady Berkel, Neil Jordan, David C. Atkins, Shrikanth S. Narayanan, Carlos Gallo, Kevin J. Grimm, Thomas J. Dishion, Anne M. Mauricio, Jenna Rudo-Stern, Mariah K. Meachum, Emily Winslow, and Meg M. Bruening. Health behavior outcomes of a family-centered intervention for pediatric obesity in primary care: A randomized type II hybrid effectiveness-implementation trial. Pediatric Obesity, pp. e12780, 2021.
    details     doi    pdf 
  • Caitlin Smith, Michael I. Proctor, Khalil Iskarous, Louis Goldstein, and Shrikanth S. Narayanan. Stable articulatory tasks and their variable formation: Tamil retroflex consonants. In Proceedings of InterSpeech, aug 2013.
    details    pdf 
  • J Smith, C Berkel, N Jordan, D Atkins, S Narayanan, C Gallo, K Grimm, T Dishion, A Mauricio, J Rudo-Stern, M Meacham, E Winslow, and M Bruening. An individually tailored family-centered intervention for pediatric obesity in primary care: Study protocol of a randomized type II hybrid implementation–effectiveness trial (Raising Healthy Children study). Implementation Science, 2017.
    details    
  • Justin D Smith, Cady Berkel, Neil Jordan, David C Atkins, Shrikanth S Narayanan, Carlos Gallo, Kevin J Grimm, Thomas J Dishion, Anne M Mauricio, Jenna Rudo-Stern, Mariah K Meachum, Emily Winslow, and Meg M Bruening. An individually tailored family-centered intervention for pediatric obesity in primary care: Study protocol of a randomized type II hybrid implementation–effectiveness trial (Raising Healthy Children study). Implementation Science, 13(11):1–15, January 2018.
    details     doi    pdf 

Soma

Somandapelli

Somandepalli

Sorensen

Spruijt-Metz

Sridhar

Srinivasamurthy

Subramanyam

Suendermann

Sundaram

  • Shiva Sundaram and Shrikanth S. Narayanan. An attribute-based approach to audio description applied to segmenting vocal sections in popular music songs. In Proceedings of the International Workshop on Multimedia Signal Processing (MMSP), pp. 103–107, Victoria, Canada, oct 2006.
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  • Shiva Sundaram and Shrikanth S. Narayanan. Vector-based representation and clustering of audio using onomatopoeia words. In Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Fall Symposium, Arlington, VA, oct 2006.
    details    pdf 
  • Shiva Sundaram and Shrikanth S. Narayanan. A divide-and-conquer approach to latent perceptual indexing of audio for large web 2.0 applications. In Proceedings of the International Conference on Multimedia & Expo (ICME), pp. 466–469, Cancun, Mexico, jun 2009.
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  • Shiva Sundaram and Shrikanth S. Narayanan. Experiments in automatic genre classification of full-length music tracks using audio activity rate. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), pp. 98–102, Chania, Greece, oct 2007.
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  • Shiva Sundaram and Shrikanth S. Narayanan. Audio retrieval by latent perceptual indexing. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 49–52, Las Vegas, Nevada, apr 2008.
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  • Shiva Sundaram and Shrikanth S. Narayanan. Classification of sound clips by two schemes: using onomatopoeia and semantic labels. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), pp. 1341–1344, Hannover, Germany, jun 2008.
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  • Shiva Sundaram and Shrikanth S. Narayanan. Analysis of audio clustering using word descriptions. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 769–772, Honolulu, Hawaii, apr 2007.
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  • Shiva Sundaram and Shrikanth S. Narayanan. Discriminating Two Types of Noise Sources Using Cortical Representation and Dimension Reduction Technique. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 213–216, 1, Honolulu, Hawaii, April 2007.
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  • Shiva Sundaram and Shrikanth S. Narayanan. Spoken language synthesis: Experiments in synthesis of spontaneous monologues. In Proceedings of the IEEE Speech Synthesis Workshop, pp. 203–206, Santa Monica, CA, sep 2002.
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  • Shiva Sundaram and Shrikanth S. Narayanan. An empirical text transformation method for spontaneous speech synthesizers. In Proceedings of InterSpeech, pp. 1221–1224, Geneva, Switzerland, sep 2003.
    details    pdf 
  • Shiva Sundaram and Shrikanth S. Narayanan. Automatic acoustic synthesis of human-like laughter. Journal of the Acoustical Society of America, 121(1):527–535, jan 2007.
    details    pdf 

Swartout

Tadimari

Tan

Tavabi

  • Nazgol Tavabi, Homa Hosseinmardi, Jennifer Villatte, Andres Abeliuk, Shrikanth Narayanan, Emilio Ferrara, and Kristina Lerman. Learning Behavioral Representations from Wearable Sensors. In Proceedings of International Conference on Social Computing, Behavioral Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2020), October 2020.
    details    pdf 

Tepperman

Thatte

Thomas

Tian

Timmons

Tiwari

  • Abhishek Tiwari, Raymundo Cassani, Shrikanth Narayanan, and Tiago Falk. A Comparative Study of Stress and Anxiety Prediction in Ecological Settings Using a Smart-shirt and a Smart-bracelet. In In proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19), 2019.
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  • Abhishek Tiwari, Shrikanth Narayanan, and Tiago Falk. Breathing Rate Complexity Features for "In-the-Wild” Stress and Anxiety Measurement. In In proceedings of 27th European Signal Processing Conference (EUSIPCO), September 2019.
    details    
  • Abhishek Tiwari, Shrikanth Narayanan, and Tiago Falk. Stress and Anxiety Measurement "In-the-Wild" Using Quality-aware Multi-scale HRV Features. In In proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19), July 2019.
    details    

Toutios

Traum

Travadi

Tseng

Tsiartas

Tsuzuki

Töger

Unal

Van

Vaz

Walker

Wang

Wollmer

Wu

Wöllmer

Xezonaki

  • Danai Xezonaki, Georgios Paraskevopoulos, Alexandros Potamianos, and Shrikanth Narayanan. Affective Conditioning on Hierarchical Attention Networks applied to Depression Detection from Transcribed Clinical Interviews. In In proceedings of Interspeech, October 2020.
    details     doi    pdf 

Xia

Xiao

Yan

  • Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth Narayanan, Kristina Lerman, and Emilio Ferrara. Estimating Individualized Daily Self-Reported Affect with Wearable Sensors. In Proceedings of 7th IEEE Conference on Healthcare Informatics (ICHI2019), June 2019.
    details    
  • Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth Narayanan, Kristina Lerman, and Emilio Ferrara. Affect Estimation with Wearable Sensors. Journal of Healthcare Informatics Research, 2020.
    details     doi    pdf 

Yang

Yildirim

You

Zane

Zeljkovic

Zervanou

Zhao

Zhu

Zu

Giannakopoulos

  • T. Giannakopoulos, S. Dimopoulos, G. Pantazopoulos, A. Chatziagapi, D. Sgouropoulos, A. Katsamanis, A. Potamianos, and S. Narayanan. Using Oliver API for emotion-aware movie content characterization. In Proceedings 2019 International Conference on Content-Based Multimedia Indexing (CBMI), September 2019.
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