Pablo Achard - Related publications

Affiliations: 
Brandeis University, Waltham, MA, United States 
Area:
computational neuroscience
Website:
http://www.pabloachard.eu
NOTE: We are testing a new system for identifying relevant work based on semantic analysis that identifies similarities between recently published papers and the current author's publications. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches.
50 most relevant papers in past 60 days:
Year Citation  Score
2020 Gonçalves PJ, Lueckmann JM, Deistler M, Nonnenmacher M, Öcal K, Bassetto G, Chintaluri C, Podlaski WF, Haddad SA, Vogels T, Greenberg DS, Macke JH. Training deep neural density estimators to identify mechanistic models of neural dynamics. Elife. 9. PMID 32940606 DOI: 10.7554/eLife.56261   
2020 Westphal M, Brannath W. Evaluation of multiple prediction models: A novel view on model selection and performance assessment. Statistical Methods in Medical Research. 29: 1728-1745. PMID 31510862 DOI: 10.1177/0962280219854487   
2020 Mergenthal A, Bouteiller JC, Yu GJ, Berger TW. A Computational Model of the Cholinergic Modulation of CA1 Pyramidal Cell Activity. Frontiers in Computational Neuroscience. 14: 75. PMID 33013341 DOI: 10.3389/fncom.2020.00075   
2020 Pouranbarani E, Berg LA, Oliveira RS, Dos Santos RW, Nygren A. Improved Accuracy of Cardiac Tissue-Level Simulations by Considering Membrane Resistance as a Cellular-Level Optimization Objective. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 2487-2490. PMID 33018511 DOI: 10.1109/EMBC44109.2020.9176128   
2020 Fu H, Chen X, Wang W, Wu M. Observer-Based Adaptive Synchronization Control of Unknown Discrete-Time Nonlinear Heterogeneous Systems. Ieee Transactions On Neural Networks and Learning Systems. PMID 33079683 DOI: 10.1109/TNNLS.2020.3028569   
2020 van Maanen L, Miletić S. The interpretation of behavior-model correlations in unidentified cognitive models. Psychonomic Bulletin & Review. PMID 32767046 DOI: 10.3758/s13423-020-01783-y   
2020 Newmiwaka T, Engelhardt B, Wendland P, Kahl D, Fröhlich H, Kschischo M. SEEDS: Data driven inference of structural model errors and unknown inputs for dynamic systems biology. Bioinformatics (Oxford, England). PMID 32931565 DOI: 10.1093/bioinformatics/btaa786   
2020 Lydon-Staley DM, Cornblath EJ, Blevins AS, Bassett DS. Modeling brain, symptom, and behavior in the winds of change. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology. PMID 32859996 DOI: 10.1038/s41386-020-00805-6   
2020 Montesinos-López OA, Montesinos-López JC, Singh P, Lozano-Ramirez N, Barrón-López A, Montesinos-López A, Crossa J. A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data. G3 (Bethesda, Md.). PMID 32934019 DOI: 10.1534/g3.120.401631   
2020 Huo X, Leng J, Hou Q, Zheng L, Zhao L. Assessing the explanatory and predictive performance of a random parameters count model with heterogeneity in means and variances. Accident; Analysis and Prevention. 147: 105759. PMID 32971380 DOI: 10.1016/j.aap.2020.105759   
2020 Zhang Z, Zhang J, Tao J, Shi N. A General Three-Parameter Logistic Model With Time Effect. Frontiers in Psychology. 11: 1791. PMID 32849057 DOI: 10.3389/fpsyg.2020.01791   
2020 Zhang Z, Zeb A, Egbelowo OF, Erturk VS. Dynamics of a fractional order mathematical model for COVID-19 epidemic. Advances in Difference Equations. 2020: 420. PMID 32834820 DOI: 10.1186/s13662-020-02873-w   
2020 Mena RH, Velasco-Hernandez JX, Mantilla-Beniers NB, Carranco-Sapiéns GA, Benet L, Boyer D, Castillo IP. Using posterior predictive distributions to analyse epidemic models: COVID-19 in Mexico City. Physical Biology. 17: 065001. PMID 32959788 DOI: 10.1088/1478-3975/abb115   
2020 Bora DJ, Dasgupta R. Estimation of skin impedance models with experimental data and a proposed model for human skin impedance. Iet Systems Biology. 14: 230-240. PMID 33095744 DOI: 10.1049/iet-syb.2020.0049   
2020 Gu X, Hoijtink H, Mulder J. Bayesian One-Sided Variable Selection. Multivariate Behavioral Research. 1-15. PMID 32869690 DOI: 10.1080/00273171.2020.1813067   
2020 Moon K, Browne N. A method to develop a shared qualitative model of a complex system. Conservation Biology : the Journal of the Society For Conservation Biology. PMID 32888365 DOI: 10.1111/cobi.13632   
2020 Köhler-Rieper F, Röhl CHF, De Micheli E. A novel deterministic forecast model for COVID-19 epidemic based on a single ordinary integro-differential equation. European Physical Journal Plus. 135: 599. PMID 32834915 DOI: 10.1140/epjp/s13360-020-00608-0   
2020 Wan YW, Zhu B. Abnormal patterns recognition in bivariate autocorrelated process using optimized random forest and multi-feature extraction. Isa Transactions. PMID 33039168 DOI: 10.1016/j.isatra.2020.09.008   
2020 Yu H, Zou J, Zhang W. [Research on Mathematical Distribution of Failure Time and Engineering Evaluation for Medical Electrical Equipment Based on Operation and Maintenance Data]. Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation. 44: 199-204. PMID 32621425 DOI: 10.3969/j.issn.1671-7104.2020.03.003   
2020 de Pablos JL, Menga E, Romero I. A Methodology for the Statistical Calibration of Complex Constitutive Material Models: Application to Temperature-Dependent Elasto-Visco-Plastic Materials. Materials (Basel, Switzerland). 13. PMID 33023178 DOI: 10.3390/ma13194402   
2020 Burk KM, Narayan A, Orr JA. Efficient sampling for polynomial chaos-based uncertainty quantification and sensitivity analysis using weighted approximate Fekete points. International Journal For Numerical Methods in Biomedical Engineering. ecnm03395. PMID 32794272 DOI: 10.1002/cnm.3395   
2020 Laubmeier AN, Cazelles B, Cuddington K, Erickson KD, Fortin MJ, Ogle K, Wikle CK, Zhu K, Zipkin EF. Ecological Dynamics: Integrating Empirical, Statistical, and Analytical Methods. Trends in Ecology & Evolution. PMID 32933777 DOI: 10.1016/j.tree.2020.08.006   
2020 Reis AC, Salis HM. An Automated Model Test System for Systematic Development and Improvement of Gene Expression Models. Acs Synthetic Biology. PMID 33054181 DOI: 10.1021/acssynbio.0c00394   
2020 Friston KJ, Parr T, Zeidman P, Razi A, Flandin G, Daunizeau J, Hulme OJ, Billig AJ, Litvak V, Moran RJ, Price CJ, Lambert C. Dynamic causal modelling of COVID-19. Wellcome Open Research. 5: 89. PMID 32832701 DOI: 10.12688/wellcomeopenres.15881.2   
2020 Sweilam NH, Al-Mekhlafi SM, Albalawi AO, Baleanu D. On the optimal control of coronavirus (2019-nCov) mathematical model; a numerical approach. Advances in Difference Equations. 2020: 528. PMID 32994791 DOI: 10.1186/s13662-020-02982-6   
2020 Kaxiras E, Neofotistos G, Angelaki E. The first 100 days: Modeling the evolution of the COVID-19 pandemic. Chaos, Solitons, and Fractals. 138: 110114. PMID 32834582 DOI: 10.1016/j.chaos.2020.110114   
2020 Mohammad M, Trounev A. On the dynamical modeling of COVID-19 involving Atangana-Baleanu fractional derivative and based on Daubechies framelet simulations. Chaos, Solitons, and Fractals. 140: 110171. PMID 32834652 DOI: 10.1016/j.chaos.2020.110171   
2020 Bashar SK, Al Fahim A, Chon KH. Smartphone Based Human Activity Recognition with Feature Selection and Dense Neural Network. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 5888-5891. PMID 33019314 DOI: 10.1109/EMBC44109.2020.9176239   
2020 Giltrap D, Yeluripati J, Smith P, Fitton N, Smith W, Grant B, Dorich CD, Deng J, Topp CF, Abdalla M, Liáng LL, Snow V. Global Research Alliance N O chamber methodology guidelines: Summary of modeling approaches. Journal of Environmental Quality. 49: 1168-1185. PMID 33016456 DOI: 10.1002/jeq2.20119   
2020 Cirillo GI, Sepulchre R. The geometry of rest-spike bistability. Journal of Mathematical Neuroscience. 10: 13. PMID 32886221 DOI: 10.1186/s13408-020-00090-z   
2020 Hilton B, Sood AP, Evans TS. Predictive limitations of spatial interaction models: a non-Gaussian analysis. Scientific Reports. 10: 17474. PMID 33060807 DOI: 10.1038/s41598-020-74601-z   
2020 Santosh KC. COVID-19 Prediction Models and Unexploited Data. Journal of Medical Systems. 44: 170. PMID 32794042 DOI: 10.1007/s10916-020-01645-z   
2020 Zhang L, DiLernia A, Quevedo K, Camchong J, Lim K, Pan W. A random covariance model for bi-level graphical modeling with application to resting-state fMRI data. Biometrics. PMID 32865813 DOI: 10.1111/biom.13364   
2020 Adamson MW, Morozov AY. Identifying the sources of structural sensitivity in partially specified biological models. Scientific Reports. 10: 16926. PMID 33037267 DOI: 10.1038/s41598-020-73710-z   
2020 Fresca S, Manzoni A, Dedè L, Quarteroni A. Deep learning-based reduced order models in cardiac electrophysiology. Plos One. 15: e0239416. PMID 33002014 DOI: 10.1371/journal.pone.0239416   
2020 Niederdorfer B, Touré V, Vazquez M, Thommesen L, Kuiper M, Lægreid A, Flobak Å. Strategies to Enhance Logic Modeling-Based Cell Line-Specific Drug Synergy Prediction. Frontiers in Physiology. 11: 862. PMID 32848834 DOI: 10.3389/fphys.2020.00862   
2020 Fang G, Ying Z. Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data. Psychometrika. PMID 32929664 DOI: 10.1007/s11336-020-09725-2   
2020 Chen Q, Nicholson G, Ye J, Zhao Y, Roberts C. Estimating Residual Life Distributions of Complex Operational Systems Using a Remaining Maintenance Free Operating Period (RMFOP)-Based Methodology. Sensors (Basel, Switzerland). 20. PMID 32992886 DOI: 10.3390/s20195504   
2020 Schubnel B, Carrillo RE, Alet PJ, Hutter A. A Hybrid Learning Method for System Identification and Optimal Control. Ieee Transactions On Neural Networks and Learning Systems. PMID 32870801 DOI: 10.1109/TNNLS.2020.3016906   
2020 Svendsen DH, Morales-Álvarez P, Ruescas AB, Molina R, Camps-Valls G. Deep Gaussian processes for biogeophysical parameter retrieval and model inversion. Isprs Journal of Photogrammetry and Remote Sensing : Official Publication of the International Society For Photogrammetry and Remote Sensing (Isprs). 166: 68-81. PMID 32747851 DOI: 10.1016/j.isprsjprs.2020.04.014   
2020 Torre A, Medina-Rodríguez S, Segura JC, Fernández-Sánchez JF. A Polynomial-Exponent Model for Calibrating the Frequency Response of Photoluminescence-Based Sensors. Sensors (Basel, Switzerland). 20. PMID 32824694 DOI: 10.3390/s20164635   
2020 Chen J, Hua C, Guan X. Iterative Learning Model-Free Control for Networked Systems With Dual-Direction Data Dropouts and Actuator Faults. Ieee Transactions On Neural Networks and Learning Systems. PMID 33048767 DOI: 10.1109/TNNLS.2020.3027651   
2020 Sharma S, Chaudhury S, Jayadeva. Block Sparse Variational Bayes Regression Using Matrix Variate Distributions With Application to SSVEP Detection. Ieee Transactions On Neural Networks and Learning Systems. PMID 33048770 DOI: 10.1109/TNNLS.2020.3027773   
2020 Esmaeili S, Hastings A, Abbott K, Machta J, Nareddy VR. Density Dependent Resource Budget Model for Alternate Bearing. Journal of Theoretical Biology. 110498. PMID 32971131 DOI: 10.1016/j.jtbi.2020.110498   
2020 Luo Y, Lovelett RJ, Price JV, Radhakrishnan D, Barnthouse K, Hu P, Schaefer E, Cunningham J, Lee KH, Shivappa RB, Ogunnaike BA. Modeling the Effect of Amino Acids and Copper on Monoclonal Antibody Productivity and Glycosylation: A Modular Approach. Biotechnology Journal. e2000261. PMID 32875683 DOI: 10.1002/biot.202000261   
2020 Sego TJ, Glazier JA, Tovar A. Unification of aggregate growth models by emergence from cellular and intracellular mechanisms. Royal Society Open Science. 7: 192148. PMID 32968501 DOI: 10.1098/rsos.192148   
2020 Sutton C, Boley M, Ghiringhelli LM, Rupp M, Vreeken J, Scheffler M. Identifying domains of applicability of machine learning models for materials science. Nature Communications. 11: 4428. PMID 32887879 DOI: 10.1038/s41467-020-17112-9   
2020 Ei SI, Ishii H, Sato M, Tanaka Y, Wang M, Yasugi T. A continuation method for spatially discretized models with nonlocal interactions conserving size and shape of cells and lattices. Journal of Mathematical Biology. PMID 32959067 DOI: 10.1007/s00285-020-01534-6   
2020 Jiang T, Li Y, Motsinger-Reif AA. Knockoff Boosted Tree for Model-Free Variable Selection. Bioinformatics (Oxford, England). PMID 32966559 DOI: 10.1093/bioinformatics/btaa770   
2020 Navarro-Alarcon D, Qi J, Zhu J, Cherubini A. A Lyapunov-Stable Adaptive Method to Approximate Sensorimotor Models for Sensor-Based Control. Frontiers in Neurorobotics. 14: 59. PMID 33041777 DOI: 10.3389/fnbot.2020.00059