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267
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What is the i10Index of the scholar working at Princeton University, USA and published Projective Methods for Stiff Differential Equations: Problems with Gaps in Their Eigenvalue Spectrum?
| 223 |
Karthikeyan Rajendran et al.: Data mining when each data point is a network. (2016) authored by Ioannis G. Kevrekidis. Dimitrios G. Patsatzis et al.: Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach. (2022) authored by Ioannis G. Kevrekidis. Dimitrios G. Patsatzis et al.: Data-driven control of agent-based models: An Equation/Variable-free machine learning approach. (2023) authored by Ioannis G. Kevrekidis. Antonio A. Alonso et al.: Optimal sensor location and reduced order observer design for distributed process systems. (2004) authored by Ioannis G. Kevrekidis. Jennifer Sleeman et al.: A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN). (2023) authored by Ioannis G. Kevrekidis. Tianqi Cui et al.: Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell Bioreactors. (2023) authored by Ioannis G. Kevrekidis. Liang Qiao et al.: Bistability and Oscillations in the Huang-Ferrell Model of MAPK Signaling. (2007) authored by Ioannis G. Kevrekidis. Logan R. Matthews et al.: Designing networks with resiliency to edge failures using two-stage robust optimization. (2019) authored by Ioannis G. Kevrekidis. Ethan A. Mastny et al.: Model-based control methodologies for catalytic surface reactions. (2005) authored by Ioannis G. Kevrekidis. Seungjoon Lee et al.: A resilient and efficient CFD framework: Statistical learning tools for multi-fidelity and heterogeneous information fusion. (2017) authored by Ioannis G. Kevrekidis. Paul Villoutreix et al.: Synthesizing developmental trajectories. (2017) authored by Ioannis G. Kevrekidis. Seungjoon Lee et al.: Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion. (2018) authored by Ioannis G. Kevrekidis. Yorgos M. Psarellis et al.: Limits of Entrainment of Circadian Neuronal Networks. (2022) authored by Ioannis G. Kevrekidis. Danimir T. Doncevic et al.: A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. (2022) authored by Ioannis G. Kevrekidis. Chrysanthos E. Gounaris et al.: Designing Networks: A Mixed-Integer Linear Optimization Approach. (2015) authored by Ioannis G. Kevrekidis. Danimir T. Doncevic et al.: A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. (2024) authored by Ioannis G. Kevrekidis. Chrysanthos E. Gounaris et al.: Designing networks: A mixed-integer linear optimization approach. (2016) authored by Ioannis G. Kevrekidis. Ellis R. Crabtree et al.: GANs and Closures: Micro-Macro Consistency in Multiscale Modeling. (2022) authored by Ioannis G. Kevrekidis. Stevan Dubljevic et al.: Distributed nonlinear control of diffusion-reaction processes. (2003) authored by Ioannis G. Kevrekidis. Jennifer Sleeman et al.: Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points. (2023) authored by Ioannis G. Kevrekidis. Ellis R. Crabtree et al.: GANs and Closures: Micro-Macro Consistency in Multiscale Modeling. (2023) authored by Ioannis G. Kevrekidis. Yu Zou et al.: Accelerating agent-based computation of complex urban systems. (2012) authored by Ioannis G. Kevrekidis\nYannis was born in Athens, Greece. D. He was promoted to associate professor in 1991 and full professor in 1994. Wilhelm Award in Chemical Reaction Engineering. Schmidt
|
dec3df2c-00b5-458b-9822-50fd00c43bc9
|
Nonlinear optical microscopy
|
What type of microscopy did Boppart develop for imaging cancer resection margins?
| 68 |
Matias Carrasco Kind et al.: flimview : A software framework to handle, visualize and analyze FLIM data. (2020) authored by Stephen A. Boppart. Yi Sun et al.: Synthetic polarization-sensitive optical coherence tomography by deep learning. (2021) authored by Stephen A. Boppart. Pin-Chieh Huang et al.: Magnetomotive Displacement of the Tympanic Membrane Using Magnetic Nanoparticles: Toward Enhancement of Sound Perception. (2018) authored by Stephen A. Boppart. Tyler S. Ralston et al.: Multi-Dimensional Denoising of Real-Time Oct Imaging Data. (2006) authored by Stephen A. Boppart. Alexander W. Schaefer et al.: Real-time digital signal processing-based optical coherence tomography and Doppler optical coherence tomography. (2004) authored by Stephen A. Boppart. Tyler S. Ralston et al.: Phase stability technique for inverse scattering in optical coherence tomography. (2006) authored by Stephen A. Boppart degree in electrical engineering from UIUC. degree from the University of Illinois at Urbana-Champaign (UIUC) in electrical engineering, with an option in bioengineering. {'author_wikipedia_text': "Stephen A. S. S. His master's research involved the development of multielectrode arrays under Professor Bruce Wheeler. in 2000. D. D
|
bd358c21-09f9-441f-8d1c-0ed611553c65
|
University of Illinois at Urbana-Champaign
|
From which university did the writer of Generic Pipelined Processor Modeling and High Performance Cycle-Accurate Simulator Generation receive a Ph.D.?
| 651 |
Raghav Mehrotra-Venkat et al.: Robust Detection of Social Isolation in Older Adults by Combining Biometrics with Social Interaction Data. (2023) authored by Nikil D. Dutt. Milad Asgari Mehrabadi et al.: The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis. (2020) authored by Nikil D. Dutt. Zhongqi Yang et al.: Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. (2023) authored by Nikil D. Dutt. Wonseok Jang et al.: R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving. (2020) authored by Nikil D. Dutt. Wonseok Jang et al.: R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving. (2020) authored by Nikil D. Dutt. Tai Le et al.: Continuous Non-Invasive Blood Pressure Monitoring: A Methodological Review on Measurement Techniques. (2020) authored by Nikil D. Dutt. Seyed Amir Hossein Aqajari et al.: Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings. (2024) authored by Nikil D. Dutt. Manoj Vishwanath et al.: Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice. (2020) authored by Nikil D. Dutt. Fatemeh Sarhaddi et al.: Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation. (2021) authored by Nikil D. Dutt. Nikil Dutt name Nikil Dutt. Delaram Amiri et al.: Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems. (2020) authored by Nikil D. Dutt. Manoj Vishwanath et al.: Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram. (2021) authored by Nikil D. Dutt. Manoj Vishwanath et al.: Label Alignment Improves EEG-based Machine Learning-based Classification of Traumatic Brain Injury. (2022) authored by Nikil D. Dutt. Radu Cornea et al.: Annotation Based Multimedia Streaming Over Wireless Networks. (2006) authored by Nikil D. Dutt. Nikil Dutt alternativeName Nihil Dutt. Elahe Khatibi et al.: Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach. (2023) authored by Nikil D. Dutt. Nikil Dutt alternativeName Nikil Dutt. Nikil Dutt alternativeName Dutt. Nikil Dutt alternativeName Nik Dutt. Ali Tazarv et al.: Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. (2023) authored by Nikil D. Dutt. Ali Tazarv et al.: Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. (2023) authored by Nikil D. Dutt. Manoj Vishwanath et al.: Reducing Intraspecies and Interspecies Covariate Shift in Traumatic Brain Injury EEG of Humans and Mice Using Transfer Euclidean Alignment. (2023) authored by Nikil D. Dutt. Ali Tazarv et al.: Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. (2021) authored by Nikil D. Dutt. Ali Tazarv et al.: Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. (2021) authored by Nikil D. Dutt. Arman Anzanpour et al.: Self-awareness in remote health monitoring systems using wearable electronics. (2017) authored by Nikil D. Dutt. Nikil Dutt alternativeName N. Dutt. Axel Jantsch et al.: Hierarchical dynamic goal management for IoT systems. (2018) authored by Nikil D. Dutt. Arman Anzanpour et al.: Energy-efficient and Reliable Wearable Internet-of-Things through Fog-Assisted Dynamic Goal Management. (2019) authored by Nikil D. Dutt. Sudarshan Banerjee and Nikil D. Dutt: Efficient search space exploration for HW-SW partitioning. (2004) authored by Nikil D. Dutt. Iman Azimi et al.: Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study. (2019) authored by Nikil D. Dutt. Emad Kasaeyan Naeini et al.: An Edge-Assisted and Smart System for Real-Time Pain Monitoring. (2019) authored by Nikil D. Dutt. Manoj Vishwanath et al.: Classification of Electroencephalogram in a Mouse Model of Traumatic Brain Injury Using Machine Learning Approaches*. (2020) authored by Nikil D. Dutt. Nikil Dutt alternativeName DuttNikil. Sina Shahhosseini et al.: Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness. (2021) authored by Nikil D. Dutt. Milad Asgari Mehrabadi et al.: Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS. (2021) authored by Nikil D. Dutt. Milad Asgari Mehrabadi et al.: Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS. (2020) authored by Nikil D. Dutt. Gu-Min Jeong et al.: Robust Face Recognition Against Soft-errors Using a Cross-layer Approach. (2016) authored by Nikil D. Dutt. Hirak Jyoti Kashyap et al.: A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates. (2018) authored by Nikil D. Dutt. Caio Batista de Melo and Nikil D. Dutt: LOCoCAT: Low-Overhead Classification of CAN Bus Attack Types. (2023) authored by Nikil D. Dutt. Seyed Amir Hossein Aqajari et al.: GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data. (2020) authored by Nikil D. Dutt. Mischa Möstl et al.: Platform-Centric Self-Awareness as a Key Enabler for Controlling Changes in CPS. (2018) authored by Nikil D. Dutt. Dongjoo Seo et al.: Is Garbage Collection Overhead Gone? Case study of F2FS on ZNS SSDs. (2023) authored by Nikil D. Dutt. Salar Jafarlou et al.: ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks. (2022) authored by Nikil D. Dutt. Sina Labbaf et al.: ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider. (2023) authored by Nikil D. Dutt. Sina Labbaf et al.: ZotCare: a flexible, personalizable, and affordable mhealth service provider. (2023) authored by Nikil D. Dutt. Kasra Moazzemi et al.: HESSLE-FREE: <u>He</u>terogeneou<u>s</u> <u>S</u>ystems <u>Le</u>veraging <u>F</u>uzzy Control for <u>R</u>untim<u>e</u> Resourc<u>e</u> Management. (2019) authored by Nikil D. Dutt. Arman Anzanpour et al.: Edge-Assisted Control for Healthcare Internet of Things: A Case Study on PPG-Based Early Warning Score. (2020) authored by Nikil D. Dutt. Nikil Dutt alternativeName Nikil D. Dutt. Sudeep Pasricha et al.: Dynamic Backlight Adaptation for Low-Power Handheld Devices. (2004) authored by Nikil D. Dutt. Radu Cornea et al.: Annotation Integration and Trade-off Analysis for Multimedia Applications. (2007) authored by Nikil D. DuttS. E. He received a B
|
4497da40-8270-4a71-a571-bdb93d8aff3f
|
Iowa State University
|
Where did the author serve as a Professor of Computer Science and led the Artificial Intelligence Research Laboratory?
| 336 |
Tsung-Yu Hsieh et al.: Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection. (2019) authored by Vasant G. Honavar. Yiwei Sun et al.: Multi-View Network Embedding Via Graph Factorization Clustering and Co-Regularized Multi-View Agreement. (2018) authored by Vasant G. Honavar. Yiwei Sun et al.: Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement. (2018) authored by Vasant G. Honavar. Ganesh Ram Santhanam et al.: Web Service Substitution Based on Preferences Over Non-functional Attributes. (2009) authored by Vasant G. Honavar. Jinlong Hu et al.: A user similarity-based Top-N recommendation approach for mobile in-application advertising. (2018) authored by Vasant G. Honavar. Oksana Yakhnenko and Vasant G. Honavar: Multi-Instance Multi-Label Learning for Image Classification with Large Vocabularies. (2011) authored by Vasant G. Honavar. Oksana Yakhnenko and Vasant G. Honavar: Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence. (2009) authored by Vasant G. Honavar. Oksana Yakhnenko and Vasant G. Honavar: Multiple label prediction for image annotation with multiple Kernel correlation models. (2009) authored by Vasant G. Honavar. Ganesh Ram Santhanam et al.: Efficient Dominance Testing for Unconditional Preferences. (2010) authored by Vasant G. Honavar. Yiwei Sun et al.: MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. (2019) authored by Vasant G. Honavar. Yiwei Sun et al.: MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. (2019) authored by Vasant G. Honavar. Ngot Bui et al.: Labeling actors in multi-view social networks by integrating information from within and across multiple views. (2016) authored by Vasant G. Honavar. Jyotishman Pathak et al.: MoSCoE: A Framework for Modeling Web Service Composition and Execution. (2006) authored by Vasant G. Honavar. Ganesh Ram Santhanam et al.: Preference Based Service Adaptation Using Service Substitution. (2013) authored by Vasant G. Honavar. Neeraj Koul et al.: Scalable, updatable predictive models for sequence data. (2010) authored by Vasant G. Honavar. Kewei Tu et al.: Exemplar-based Robust Coherent Biclustering. (2011) authored by Vasant G. Honavar. Ganesh Ram Santhanam et al.: Dominance Testing via Model Checking. (2010) authored by Vasant G. Honavar. Yasser El-Manzalawy et al.: Sleep/wake state prediction and sleep parameter estimation using unsupervised classification via clustering. (2017) authored by Vasant G. Honavar. Ngot Bui et al.: Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network. (2016) authored by Vasant G. Honavar. Tsung-Yu Hsieh et al.: SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series. (2021) authored by Vasant G. Honavar. Jyotishman Pathak et al.: A Service-Oriented Architecture for Electric Power Transmission System Asset Management. (2006) authored by Vasant G. Honavar. Junjie Liang et al.: Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data. (2024) authored by Vasant G. Honavar. Ganesh Ram Santhanam et al.: Identifying Sustainable Designs Using Preferences over Sustainability Attributes. (2011) authored by Vasant G. Honavar. Oksana Yakhnenko et al.: Discriminatively Trained Markov Model for Sequence Classification. (2005) authored by Vasant G. Honavar. Junjie Liang et al.: FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data. (2021) authored by Vasant G. Honavar. Jia Tao et al.: Secrecy-Preserving Query Answering for Instance Checking in EL\mathcal{EL}. (2010) authored by Vasant G. Honavar. Jyotishman Pathak et al.: Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers. (2006) authored by Vasant G. Honavar. Yasser El-Manzalawy et al.: Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information. (2008) authored by Vasant G. Honavar. Peter Haase et al.: Proceedings of the 1st International Workshop on Modular Ontologies, WoMO'06, co-located with the International Semantic Web Conference, ISWC'06 November 5, 2006, Athens, Georgia, USA (2007) edited by Vasant G. Honavar. Ngot Bui et al.: Temporal Causality of Social Support in an Online Community for Cancer Survivors. (2015) authored by Vasant G. Honavar. Yimin Zhou et al.: Improving Image Captioning by Leveraging Knowledge Graphs. (2019) authored by Vasant G. Honavar. Yimin Zhou et al.: Improving Image Captioning by Leveraging Knowledge Graphs. (2019) authored by Vasant G. Honavar. Rafael A. Jordan et al.: Predicting protein-protein interface residues using local surface structural similarity. (2012) authored by Vasant G. Honavar and Gajanan N. M. S. S. S. S. D
|
b1b87e27-e335-4e28-aa5b-aaa06fd4c352
|
72
|
What is the hIndex of the author of The Pyramid Match Kernel: Efficient Learning with Sets of Features?
| 402 |
Hao Jiang and Kristen Grauman: Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly. (2016) authored by Kristen Grauman. Hao Jiang and Kristen Grauman: Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly. (2017) authored by Kristen Grauman. Kristen Grauman name Kristen Grauman. Kristen Grauman alternativeName Kristen Grauman. Kristen Grauman alternativeName Kristen L Grauman. Kristen Grauman alternativeName Kristen Lorraine Grauman. Kristen Grauman written paper amount in year2018: 37. Kristen Grauman written paper amount in year2018: 37. Michael S. Ryoo et al.: A task-driven intelligent workspace system to provide guidance feedback. (2010) authored by Kristen Grauman. Kumar Ashutosh et al.: What You Say Is What You Show: Visual Narration Detection in Instructional Videos. (2023) authored by Kristen Grauman. Kristen Grauman written paper amount in year2022: 18. Kristen Grauman written paper amount in year2022: 18. Changan Chen et al.: Novel-View Acoustic Synthesis. (2023) authored by Kristen Grauman. Changan Chen et al.: Novel-View Acoustic Synthesis. (2023) authored by Kristen Grauman. Wei-Lin Hsiao et al.: Fashion++: Minimal Edits for Outfit Improvement. (2019) authored by Kristen Grauman. Wei-Lin Hsiao et al.: Fashion++: Minimal Edits for Outfit Improvement. (2019) authored by Kristen Grauman. Kristen Grauman primary affiliation University of Texas at Austin, USA. Kristen Grauman written paper amount in year2019: 32. Kristen Grauman written paper amount in year2019: 32. Kristen Grauman written paper amount in year2015: 16. Kristen Grauman written paper amount in year2015: 16. Kristen Grauman written paper amount in year2020: 42. Kristen Grauman written paper amount in year2020: 42. Kristen Grauman affiliation University of Texas at Austin, USA. Bo Xiong and Kristen Grauman: Intentional Photos from an Unintentional Photographer: Detecting Snap Points in Egocentric Video with a Web Photo Prior. (2015) authored by Kristen Grauman. Kristen Grauman written paper amount in year2016: 34. Kristen Grauman written paper amount in year2016: 34. Kristen Grauman written paper amount in year2023: 24. Kristen Grauman written paper amount in year2023: 24. Ziad Al-Halah and Kristen Grauman: From Paris to Berlin: Discovering Fashion Style Influences Around the World. (2020) authored by Kristen Grauman. Ziad Al-Halah and Kristen Grauman: From Paris to Berlin: Discovering Fashion Style Influences Around the World. (2020) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance. (2018) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Clues from the beaten path: Location estimation with bursty sequences of tourist photos. (2011) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance. (2016) authored by Kristen Grauman. Changan Chen et al.: SoundSpaces: Audio-Visual Navigation in 3D Environments. (2020) authored by Kristen Grauman. Zheng Lu and Kristen Grauman: Story-Driven Summarization for Egocentric Video. (2013) authored by Kristen Grauman. Ziad Al-Halah and Kristen Grauman: Modeling Fashion Influence From Photos. (2021) authored by Kristen Grauman. Kristen Grauman et al.: Communication via eye blinks and eyebrow raises: video-based human-computer interfaces. (2003) authored by Kristen Grauman. Yu-Chuan Su et al.: Pano2Vid: Automatic Cinematography for Watching 360° Videos. (2016) authored by Kristen Grauman. Yu-Chuan Su et al.: Pano2Vid: Automatic Cinematography for Watching 360° Videos. (2016) authored by Kristen Grauman During her PhD Grauman worked as a research intern at Intel and Lawrence Berkeley National Laboratory. She was awarded an Office of Naval Research young investigator award in 2012. She was promoted to Associate Professor with tenure in 2011
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f86c0160-14f5-40d8-afba-f2ab9075b57a
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