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ORCIDCIBCB 2023: Eindhoven, The Netherlands
- IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2023, Eindhoven, The Netherlands, August 29-31, 2023. IEEE 2023, ISBN 979-8-3503-1017-7
- Eliel Aknin, Ariel Larey, Julie M. Caldwell, Margaret H. Collins, Marc E. Rothenberg, Yonatan Savir:
Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment. 1-8 - Amadeu Scheppach, Hüseyin Anil Gündüz, Emilio Dorigatti, Philipp C. Münch, Alice C. McHardy
, Bernd Bischl, Mina Rezaei, Martin Binder:
Neural Architecture Search for Genomic Sequence Data. 1-10 - Simon Stock, Jan Hausberg, Alexandre Armengol-Urpi, Tobias Kaufmann, Markus Schinle, Marius Gerdes, Wilhelm Stork:
Towards EEG-based objective ADHD diagnosis support using convolutional neural networks. 1-8 - Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco S. Nobile, Cristina Conati:
A Theoretical Framework for AI Models Explainability with Application in Biomedicine. 1-9 - Michael Dubé, James Sargant, Sheridan K. Houghten:
Comparison of Representations to Evolve Weighted Contact Networks with Epidemic Properties. 1-8 - Apakorn Kengkanna, Masahito Ohue:
Enhancing Model Learning and Interpretation using Multiple Molecular Graph Representations for Compound Property and Activity Prediction. 1-8 - Godwin Ekuma, Daniel B. Hier, Tayo Obafemi-Ajayi:
An Explainable Deep Learning Model for Prediction of Severity of Alzheimer's Disease. 1-8 - Sanaz Mostaghim, Qihao Shan, Christiane Desel, Alexander Duscha, Aiden Haghikia, Tobias Hegelmaier, Felix Kuhn, Stefan Remy:
Medical and Behavioral Knowledge Discovery using Multi-Objective Analysis. 1-8 - Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang:
Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey. 1-8 - Lara Cavinato, Jimin Hong, Stefan Reinhard, Martin Wartenberg, Paolo Zunino, Andrea Manzoni, Francesca Ieva, Kuangyu Shi:
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma. 1-9 - Christodoulos Bochalis, César D. M. Vargas, Erich D. Jarvis, Theodoros Giannakopoulos:
Unsupervised Temporal Analysis of Mouse Vocalizations. 1-8 - A. T. M. Shakil Ahamed, Ryan E. R. Reid, James Alexander Hughes, Ross E. Andersen:
Explaining Body Composition After Bariatric Surgery using Accelerometry. 1-8 - Okke van Eck, Daan van den Berg:
Quantifying Instance Hardness of Protein Folding within the HP-model. 1-7 - Ronen Taub, Tanya Wasserman, Yonatan Savir:
Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains. 1-7 - Issar Arab:
PEvoLM: Protein Sequence Evolutionary Information Language Model. 1-8 - Richard Wainwright, Alex Shenfield:
Machine learning for mortality risk prediction with changing patient demographics. 1-7 - Tomasz Braun, Dominika Ewa Harasimiuk:
AI Deployment in Medical Devices-Ethical and Regulaltory Reflections, Beyond Data Protection and Bias - EU perspective. 1-6 - Megan Fowler, Amirhossein Daneshpajouh, Kay C. Wiese:
A Comparison of Machine Learning Models for Predicting CRISPR/Cas On-target Efficacy. 1-8 - Gonzalo A. Ruz:
Inference of threshold network models of the tryptophan operon in Escherichia coli. 1-7 - Ilya Auslender, Lorenzo Pavesi:
Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis. 1-6 - Enrico Bovo, Pietro Belloni, Andrea Sottosanti, Giovanna Boccuzzo:
Territorial clusters of mortality and role of social and environmental factors: the case of ULSS 6 Euganea (Italy). 1-5 - Ana Marta Sequeira, Ivan Gomes, Miguel Rocha:
Word embeddings for protein sequence analysis. 1-8 - Jillur Rahman Saurav, Mohammad Sadegh Nasr, Helen H. Shang, Paul Koomey, Michael Robben, Manfred Huber, Jon Weidanz, Bríd Ryan, Eytan Ruppin, Peng Jiang, Jacob M. Luber:
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. 1-8 - Marketa Nykrynova, Matej Bezdicek, Martina Lengerova, Helena Skutkova:
Bacterial phenotype prediction based on methylation site profiles. 1-6 - Sumaiya Amin, Derrick G. Lee, James Alexander Hughes:
Effective Vaccination Strategy for Infectious Diseases by Analyzing the Age and Comorbidity Attributes of Individuals on Social Network. 1-9 - Daniele M. Papetti, Vasco Coelho:
Evolving Dilation Functions for Parameter Estimation. 1-8 - Esra Demir:
Human Biodata Governance: Addressing the Tension Between Innovation and Protection Through DPIAs. 1-7 - Ana Moreira, Maren Philipps, Natal A. W. van Riel:
Parameter Estimation Of A Physiological Diabetes Model Using Neural Networks. 1-8 - Henry Joutsijoki, Markus Haponen, Katriina Aalto-Setälä, Martti Juhola:
A Comparative Study of Machine Learning Algorithms and SIFT for Identifying the Quality of Human Induced Pluripotent Stem Cell Colony. 1-7 - Nati Daniel, Tanya Wasserman, Zohar Adler, Tomer Czyzewski, Yonatan Savir:
Machine Learning Reveals The Effect of Maternal Age on The Mouse Pre-Implantation Embryo Morphokinetics. 1-8 - Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Francesca M. Buffa, Andrea Tangherloni:
Consensus Clustering Strategy for Cell Type Assignments of scRNA-seq Data. 1-8 - Mahmood Alzubaidi, Uzair Shah, Hurmat Shah, Mowafa S. Househ:
Conversion of Pixel to Millimeter in Ultrasound Images: A Methodological Approach and Dataset. 1-6 - Md Wasi Ul Kabir, Duaa Mohammad Alawad, Avdesh Mishra, Md. Tamjidul Hoque:
Prediction of Phi and Psi Angle Fluctuations from Protein Sequences. 1-6 - Efosa Osagie, Wei Ji, Na Helian:
Ensemble Learning for Medical Image Character Recognition based on Enhanced Lenet-5. 1-8 - Daniele M. Papetti, Caro Fuchs, Vasco Coelho, Uzay Kaymak, Marco S. Nobile:
Estimation of Fuzzy Models from Mixed Data Sets with pyFUME. 1-8 - Chiara Gallese, Teresa Scantamburlo, Luca Manzoni, Marco S. Nobile:
Investigating Semi-Automatic Assessment of Data Sets Fairness by Means of Fuzzy Logic. 1-10 - Nisha Pillai, Bindu Nanduri, Michael J. Rothrock, Zhiqian Chen, Mahalingam Ramkumar:
Towards Optimal Microbiome to Inhibit Multidrug Resistance. 1-9 - Michael Dubé, James Sargant, Sheridan K. Houghten, Steffen Graether:
From Bits to Bases: Evolving a Versatile Construct for Biological Sequence and Network Data. 1-9
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last updated on 2025-12-20 23:46 CET by the dblp team
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