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Publication search results
found 85 matches
- 2024
- Fan Zhang, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Ofer Pasternak:
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI. IEEE Trans. Medical Imaging 43(3): 1191-1202 (2024) - 2023
- Kévin Ducharlet:
Détection d'anomalies dans les flux de données pour une application dans les réseaux de capteurs. (Outlier detection in data streams with application to wireless sensor networks). INSA Toulouse, France, 2023 - 2022
- Kevin Hoarau:
Apprentissage automatique pour la détection d'anomalies dans les graphes issus des données réseau. (Machine learning for the detection of anomalies in graphs from network data). University of La Réunion, Saint-Denis, France, 2022 - Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan:
Detecting and Responding to Concept Drift in Business Processes. Algorithms 15(5): 174 (2022) - Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan:
A multi-components approach to monitoring process structure and customer behaviour concept drift. Expert Syst. Appl. 210: 118533 (2022) - Anthony Wagner, John Peterson, James Donnelly, Shivam Chourey, Kevin Kochersberger:
Online Aerial 2.5D Terrain Mapping and Active Aerial Vehicle Exploration for Ground Robot Navigation. J. Intell. Robotic Syst. 106(3): 58 (2022) - Jennifer Brennan, Lalit Jain, Sofia Garman, Ann E. Donnelly, Erik Scott Wright, Kevin G. Jamieson:
Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design. PLoS Comput. Biol. 18(7) (2022) - Ryan O'Donnell, Kevin Pratt:
High-Dimensional Expanders from Chevalley Groups. CCC 2022: 18:1-18:26 - Ryan O'Donnell, Kevin Pratt:
High-Dimensional Expanders from Chevalley Groups. CoRR abs/2203.03705 (2022) - 2021
- Kevin Dalleau:
Une approche stochastique à base d'arbres aléatoires pour le calcul de dissimilarités: application au clustering pour diverses structures de données. (A random tree-based approach to compute dissimilarities: an application to clustering on diverse data structures). University of Lorraine, Nancy, France, 2021 - Kévin Pasini:
Forecast and anomaly detection on time series with dynamic context. Application to the mining of transit ridership data. (Prévision et détection d'anomalies sur des séries temporelles dans un contexte dynamique. Application à l'analyse de données d'affluence dans les transports en commun). Gustave Eiffel University, France, 2021 - Fan Zhang, Anna Breger, Kang Ik Kevin Cho, Lipeng Ning, Carl-Fredrik Westin, Lauren J. O'Donnell, Ofer Pasternak:
Deep learning based segmentation of brain tissue from diffusion MRI. NeuroImage 233: 117934 (2021) - Allen Lu, Shawn S. Ahn, Kevinminh Ta, Nripesh Parajuli, John C. Stendahl, Zhao Liu, Nabil Boutagy, Geng-Shi Jeng, Lawrence H. Staib, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation. IEEE Trans. Medical Imaging 40(9): 2233-2245 (2021) - David E. Shaw, Peter J. Adams, Asaph Azaria, Joseph A. Bank, Brannon Batson, Alistair Bell, Michael Bergdorf, Jhanvi Bhatt, J. Adam Butts, Timothy Correia, Robert M. Dirks, Ron O. Dror, Michael P. Eastwood, Bruce Edwards, Amos Even, Peter Feldmann, Michael Fenn, Christopher H. Fenton, Anthony Forte, Joseph Gagliardo, Gennette Gill, Maria Gorlatova, Brian Greskamp, J. P. Grossman, Justin Gullingsrud, Anissa Harper, William Hasenplaugh, Mark Heily, Benjamin Colin Heshmat, Jeremy Hunt, Douglas J. Ierardi, Lev Iserovich, Bryan L. Jackson, Nick P. Johnson, Mollie M. Kirk, John L. Klepeis, Jeffrey S. Kuskin, Kenneth M. Mackenzie, Roy J. Mader, Richard McGowen, Adam McLaughlin, Mark A. Moraes, Mohamed H. Nasr, Lawrence J. Nociolo, Lief O'Donnell, Andrew Parker, Jon L. Peticolas, Goran Pocina, Cristian Predescu, Terry Quan, John K. Salmon, Carl Schwink, Keun Sup Shim, Naseer Siddique, Jochen Spengler, Tamas Szalay, Raymond Tabladillo, Reinhard Tartler, Andrew G. Taube, Michael Theobald, Brian Towles, William Vick, Stanley C. Wang, Michael Wazlowski, Madeleine J. Weingarten, John M. Williams, Kevin A. Yuh:
Anton 3: twenty microseconds of molecular dynamics simulation before lunch. SC 2021: 1 - Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan:
Process Duration Modelling and Concept Drift Detection for Business Process Mining. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 653-658 - Rodney T. O'Donnell, Kevin B. Korb, Lloyd Allison:
Causal KL: Evaluating Causal Discovery. CoRR abs/2111.06029 (2021) - 2020
- Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Kevin J. Little, Sema Candemir, Luciano M. Prevedello, Richard D. White, Thomas P. O'Donnell, Michael Wels, Barbaros S. Erdal:
Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning. J. Digit. Imaging 33(2): 431-438 (2020) - Beatriz A. Juarez, Veneranda G. Garces, Beatriz Cordero-Esquivel, Gabriel C. Spalding, Kevin A. O'Donnell:
Detachment of Dunaliella tertiolecta Microalgae from a Glass Surface by a Near-Infrared Optical Trap. Sensors 20(19): 5656 (2020) - Willem H. Zuidema, Robert M. French, Raquel G. Alhama, Kevin Ellis, Timothy J. O'Donnell, Tim Sainburg, Timothy Gentner:
Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. Top. Cogn. Sci. 12(3): 925-941 (2020) - Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kashaf Khan, Kevin Burke:
Analysing Business Process Anomalies Using Discrete-time Markov chains. HPCC/DSS/SmartCity 2020: 1258-1265 - 2019
- Kevin Bascol:
Multi-source domain adaptation on imbalanced data: application to the improvement of chairlifts safety. (Adaptation de domaine multisource sur données déséquilibrées: application à l'amélioration de la sécurité des télésièges). Jean Monnet University, Saint-Étienne, France, 2019 - Kévin Jacq:
Traitement d'images multispectrales et spatialisation des données pour la caractérisation de la matière organique des phases solides naturelles. (Characterization of organic matters in solid phase organic by multispectral image processing and data mapping). Grenoble Alpes University, France, 2019 - Alexandra Cremona, Kevin Hayes, Clodagh S. O'Gorman, Ciara Ní Laighin, Khadijah I. Ismail, Alan E. Donnelly, Jill Hamilton, Amanda Cotter:
Inter and intra-reliability of ultrasonography for the measurement of abdominal subcutaneous & visceral adipose tissue thickness at 12 weeks gestation. BMC Medical Imaging 19(1): 95 (2019) - Nripesh Parajuli, Allen Lu, Kevinminh Ta, John C. Stendahl, Nabil Boutagy, Imran Alkhalil, Melissa Eberle, Geng-Shi Jeng, Maria Zontak, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis. Medical Image Anal. 55: 116-135 (2019) - Ardavan Salehi Nobandegani, Kevin da Silva Castanheira, Timothy O'Donnell, Thomas R. Shultz:
On Robustness: An Undervalued Dimension of Human Rationality. CogSci 2019: 3327 - James A. O'Donnell, Chris Connor, Tanmoy Pramanik, Jeff Hicks, Juan G. Alzate, Fatih Hamzaoglu, Justin Brockman, Oleg Golonzka, Kevin Fischer:
eNVM MRAM Retention Reliability Modeling in 22FFL FinFET Technology. IRPS 2019: 1-3 - Liqiong Wei, Juan G. Alzate, Umut Arslan, Justin Brockman, Nilanjan Das, Kevin Fischer, Tahir Ghani, Oleg Golonzka, Patrick Hentges, Rawshan Jahan, Pulkit Jain, Blake C. Lin, Mesut Meterelliyoz, Jim O'Donnell, Conor Puls, Pedro A. Quintero, Tanaya Sahu, Meenakshi Sekhar, Ajay Vangapaty, Chris Wiegand, Fatih Hamzaoglu:
A 7Mb STT-MRAM in 22FFL FinFET Technology with 4ns Read Sensing Time at 0.9V Using Write-Verify-Write Scheme and Offset-Cancellation Sensing Technique. ISSCC 2019: 214-216 - Barbaros S. Erdal, Mutlu Demirer, Chiemezie C. Amadi, Gehan F. M. Ibrahim, Thomas P. O'Donnell, Rainer Grimmer, Andreas Wimmer, Kevin J. Little, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Richard D. White:
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters? CoRR abs/1908.05667 (2019) - 2018
- Geng-Shi Jeng, Maria Zontak, Nripesh Parajuli, Allen Lu, Kevinminh Ta, Albert J. Sinusas, James S. Duncan, Matthew O'Donnell:
Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging. IEEE Access 6: 17415-17428 (2018) - Barbaros S. Erdal, Luciano M. Prevedello, Songyue Qian, Mutlu Demirer, Kevin J. Little, John Ryu, Thomas O'Donnell, Richard D. White:
Radiology and Enterprise Medical Imaging Extensions (REMIX). J. Digit. Imaging 31(1): 91-106 (2018)
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