| Understanding smell—The olfactory stimulus problem B Auffarth Neuroscience & Biobehavioral Reviews 37 (8), 1667-1679, 2013 | 133 | 2013 |
| Comparison of redundancy and relevance measures for feature selection in tissue classification of CT images B Auffarth, M López, J Cerquides Advances in Data Mining. Applications and Theoretical Aspects, 248-262, 2010 | 91 | 2010 |
| Generative AI with LangChain B Auffarth Birmingham, UK: Packt Publishing, 2023 | 63 | 2023 |
| Machine learning for time-series with python B Auffarth Packt Publishing, 2021 | 57 | 2021 |
| Spectral graph clustering B Auffarth Universitat de Barcelona, course report for Technicas Avanzadas de …, 2007 | 35 | 2007 |
| Understanding the odour spaces: A step towards solving olfactory stimulus-percept problem R Kumar, R Kaur, B Auffarth, AP Bhondekar PLoS One 10 (10), e0141263, 2015 | 34 | 2015 |
| Clustering by a genetic algorithm with biased mutation operator B Auffarth Evolutionary Computation (CEC), 2010 IEEE Congress on, 1-8, 2010 | 34 | 2010 |
| System for Automated Assistance in Correction of Programming Exercises (SAC) B Auffarth, M López-Sánchez, JC i Miralles, A Puig proceedings of the fifth CIDUI-V International Congress of University …, 2008 | 34 | 2008 |
| Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2. x and PyTorch 1.6 B Auffarth Packt publishing ltd, 2020 | 21 | 2020 |
| Continuous spatial representations in the olfactory bulb may reflect perceptual categories B Auffarth, A Gutierrez-Galvez, S Marco Frontiers in Systems Neuroscience 5, 2011 | 16 | 2011 |
| Map formation in the olfactory bulb by axon guidance of olfactory neurons B Auffarth, B Kaplan, A Lansner Frontiers in Systems Neuroscience 5, 2011 | 14 | 2011 |
| Statistical analysis of coding for molecular properties in the olfactory bulb B Auffarth, A Gutierrez-Galvez, S Marco Frontiers in Systems Neuroscience 5, 2011 | 10 | 2011 |
| Hopfield networks in relevance and redundancy feature selection applied to classification of biomedical high-resolution micro-CT images B Auffarth, M López, J Cerquides Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and …, 2008 | 6 | 2008 |
| How to Build a Linux Cluster for Scientific Computing B Auffarth | 2 | 2009 |
| Agent Language Analysis: 3-APL SA Napagao, B Auffarth, NS Ramirez Technical report, 2007 | 2 | 2007 |
| An artificial system for visual perception in autonomous Robots B Auffarth, Y Muto, Y Kunii Proceedings of the IEEE International Conference on Intelligent Engineering …, 2005 | 2 | 2005 |
| Generative AI with LangChain: Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph, 2nd edition B Auffarth, L Kuligin | | 2025 |
| Large-scale analysis of perceptual odor data B Auffarth Flavour 3 (Suppl 1), P1, 2014 | | 2014 |
| Machine Learning Techniques with Specific Application to the Early Olfactory System B Auffarth KTH Royal Institute of Technology, 2012 | | 2012 |
| Activity-dependent memory organization in the early mammalian olfactory pathway for decorrelation, noise reduction, and sparseness-enhancement B Auffarth BMC Neuroscience 12 (Suppl 1), P186, 2011 | | 2011 |
Santiago MarcoFull Professor. Dept. of Electronics and Biomedical Eng. University of Barcelona.- IBECVerified email at ibecbarcelona.eu
