Michael A. Arbib - Related publications

Affiliations: 
University of Southern California, Los Angeles, CA, United States 
Website:
http://www-hbp.usc.edu/people/arbib.htm
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32 most relevant papers in past 60 days:
Year Citation  Score
2022 Sanchez-Alonso S, Aslin RN. Towards a model of language neurobiology in early development. Brain and Language. 224: 105047. PMID 34894429 DOI: 10.1016/j.bandl.2021.105047   
2022 Ivica N, Censoni L, Sjöbom J, Richter U, Petersson P. Differential effects of skilled reaching training on the temporal and spatial organization of somatosensory input to cortical and striatal motor circuits. Journal of Neurophysiology. 127: 225-238. PMID 34936519 DOI: 10.1152/jn.00464.2021   
2022 de Kleijn R, Sen D, Kachergis G. A Critical Period for Robust Curriculum-Based Deep Reinforcement Learning of Sequential Action in a Robot Arm. Topics in Cognitive Science. PMID 35005844 DOI: 10.1111/tops.12595   
2022 Jin MC, Rodrigues AJ, Jensen M, Veeravagu A. A Discussion of Machine Learning Approaches for Clinical Prediction Modeling. Acta Neurochirurgica. Supplement. 134: 65-73. PMID 34862529 DOI: 10.1007/978-3-030-85292-4_9   
2022 Abirami RS, Kumar GS. Comparative Study Based on Analysis of Coronavirus Disease (COVID-19) Detection and Prediction Using Machine Learning Models. Sn Computer Science. 3: 79. PMID 34841267 DOI: 10.1007/s42979-021-00965-2   
2022 Nicora G, Rios M, Abu-Hanna A, Bellazzi R. Evaluating Pointwise Reliability of Machine Learning prediction. Journal of Biomedical Informatics. 103996. PMID 35041981 DOI: 10.1016/j.jbi.2022.103996   
2022 Balabin H, Hoyt CT, Birkenbihl C, Gyori BM, Bachman J, Kodamullil AT, Plöger PG, Hofmann-Apitius M, Domingo-Fernández D. STonKGs: A Sophisticated Transformer Trained on Biomedical Text and Knowledge Graphs. Bioinformatics (Oxford, England). PMID 34986221 DOI: 10.1093/bioinformatics/btac001   
2022 Sun X, O'Shea DJ, Golub MD, Trautmann EM, Vyas S, Ryu SI, Shenoy KV. Cortical preparatory activity indexes learned motor memories. Nature. PMID 35082444 DOI: 10.1038/s41586-021-04329-x   
2022 Andaur Navarro CL, Damen JAA, Takada T, Nijman SWJ, Dhiman P, Ma J, Collins GS, Bajpai R, Riley RD, Moons KGM, Hooft L. Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review. Bmc Medical Research Methodology. 22: 12. PMID 35026997 DOI: 10.1186/s12874-021-01469-6   
2022 Liakoni V, Lehmann MP, Modirshanechi A, Brea J, Lutti A, Gerstner W, Preuschoff K. Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. Neuroimage. 246: 118780. PMID 34875383 DOI: 10.1016/j.neuroimage.2021.118780   
2022 Bohm C, Kirkpatrick D, Hintze A. Understanding Memories of the Past in the Context of Different Complex Neural Network Architectures. Neural Computation. 1-27. PMID 35016223 DOI: 10.1162/neco_a_01469   
2022 Lee C, Kim Y, Kaang BK. The primary motor cortex: the hub of motor learning in rodents. Neuroscience. PMID 35051529 DOI: 10.1016/j.neuroscience.2022.01.009   
2022 Amoruso E, Dowdall L, Kollamkulam MT, Ukaegbu O, Kieliba P, Ng T, Dempsey-Jones H, Clode D, Makin T. Intrinsic somatosensory feedback supports motor control and learning to operate artificial body parts. Journal of Neural Engineering. PMID 34983040 DOI: 10.1088/1741-2552/ac47d9   
2022 Lee DY, Jeong JH, Lee BH, Lee SW. Motor Imagery Classification Using Inter-Task Transfer Learning via A Channel-Wise Variational Autoencoder-based Convolutional Neural Network. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. PMID 35041605 DOI: 10.1109/TNSRE.2022.3143836   
2022 Khan IU, Afzal S, Lee JW. Human Activity Recognition via Hybrid Deep Learning Based Model. Sensors (Basel, Switzerland). 22. PMID 35009865 DOI: 10.3390/s22010323   
2022 Liu H, Wang W, Zhang Y, Gu R, Hao Y. Neural Matrix Factorization Recommendation for User Preference Prediction Based on Explicit and Implicit Feedback. Computational Intelligence and Neuroscience. 2022: 9593957. PMID 35047036 DOI: 10.1155/2022/9593957   
2022 Yang G, Ye Q, Xia J. Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond. An International Journal On Information Fusion. 77: 29-52. PMID 34980946 DOI: 10.1016/j.inffus.2021.07.016   
2022 Roark CL, Plaut DC, Holt LL. A neural network model of the effect of prior experience with regularities on subsequent category learning. Cognition. 222: 104997. PMID 35007885 DOI: 10.1016/j.cognition.2021.104997   
2022 Hoppe DB, Hendriks P, Ramscar M, van Rij J. An exploration of error-driven learning in simple two-layer networks from a discriminative learning perspective. Behavior Research Methods. PMID 35032022 DOI: 10.3758/s13428-021-01711-5   
2022 Langdon A, Botvinick M, Nakahara H, Tanaka K, Matsumoto M, Kanai R. Meta-learning, social cognition and consciousness in brains and machines. Neural Networks : the Official Journal of the International Neural Network Society. 145: 80-89. PMID 34735893 DOI: 10.1016/j.neunet.2021.10.004   
2022 Liu M, Zhang C, Bai H, Zhang R, Zhao Y. Cross-Part Learning for Fine-Grained Image Classification. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 31: 748-758. PMID 34928798 DOI: 10.1109/TIP.2021.3135477   
2022 Lin C, Wang L, Shi L. AAPred-CNN: accurate predictor based on deep convolution neural network for identification of anti-angiogenic peptides. Methods (San Diego, Calif.). PMID 35031486 DOI: 10.1016/j.ymeth.2022.01.004   
2022 Nakai T, Koide-Majima N, Nishimoto S. Music genre neuroimaging dataset. Data in Brief. 40: 107675. PMID 34917714 DOI: 10.1016/j.dib.2021.107675   
2022 Kumar S, Nanelia A, Mariappan R, Rajagopal A, Rajan V. Patient Representation Learning From Heterogeneous Data Sources and Knowledge Graphs Using Deep Collective Matrix Factorization: Evaluation Study. Jmir Medical Informatics. 10: e28842. PMID 35049514 DOI: 10.2196/28842   
2022 Islam MS, Lim S. Vibrotactile feedback in virtual motor learning: A systematic review. Applied Ergonomics. 101: 103694. PMID 35086007 DOI: 10.1016/j.apergo.2022.103694   
2022 Mao YJ, Lim HJ, Ni M, Yan WH, Wong DW, Cheung JC. Breast Tumour Classification Using Ultrasound Elastography with Machine Learning: A Systematic Scoping Review. Cancers. 14. PMID 35053531 DOI: 10.3390/cancers14020367   
2022 David MM, Tataru C, Pope Q, Baker LJ, English MK, Epstein HE, Hammer A, Kent M, Sieler MJ, Mueller RS, Sharpton TJ, Tomas F, Vega Thurber R, Fern XZ. Revealing General Patterns of Microbiomes That Transcend Systems: Potential and Challenges of Deep Transfer Learning. Msystems. e0105821. PMID 35040699 DOI: 10.1128/msystems.01058-21   
2022 Deng HF, Sun MW, Wang Y, Zeng J, Yuan T, Li T, Li DH, Chen W, Zhou P, Wang Q, Jiang H. Evaluating machine learning models for sepsis prediction: A systematic review of methodologies. Iscience. 25: 103651. PMID 35028534 DOI: 10.1016/j.isci.2021.103651   
2022 Mavridis CN, Baras JS. Online Deterministic Annealing for Classification and Clustering. Ieee Transactions On Neural Networks and Learning Systems. PMID 34995199 DOI: 10.1109/TNNLS.2021.3138676   
2022 Zhu F, Li F, Deng L, Meng F, Liang Z. Protein Interaction Network Reconstruction with a Structural Gated Attention Deep Model by Incorporating Network Structure Information. Journal of Chemical Information and Modeling. PMID 35005980 DOI: 10.1021/acs.jcim.1c00982   
2022 Xie Z, Ren L, Zhan Q, Liu Y. A Constructivist Ontology Relation Learning Method. Ieee Transactions On Cybernetics. PMID 35025753 DOI: 10.1109/TCYB.2021.3138452   
2022 Ge C, Sun H, Song YZ, Ma Z, Liao J. Exploring Local Detail Perception for Scene Sketch Semantic Segmentation. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 35044912 DOI: 10.1109/TIP.2022.3142511