Epaminondas Kapetanios's Journal Club session where he will talk about his editorial work in the "Explanation in Human-AI Systems" journal.
Tag: Machine Learning
Emil Dmitruk's Journal Club session where he will talk about a paper "Uncovering the Topology of Time-Varying fMRI Data Using Cubical Persistence"
Nik Dennler's Journal Club session where he will talk about a paper "Evolving the Olfactory System with Machine Learning"
Muhammad Yaqoob's journal club session where he will talk about the paper "Towards Explainable Artificial Intelligence".
Na Helian's journal club session, where she will present the paper "OPTICS Ordering Points To Identify the Clustering Structure (Mihael Ankerst et al, 1999)".
Edward Wakelam's journal club session, where he will present his work.
Shabnam Kadir's journal club session, where she will present the papers "The power of deeper networks for expressing natural functions (David Rolnick and Max Tegmark, 2018)" and "Why does deep and cheap learning work so well? (Henry W. Lin, Max Tegmark and David Rolnick, 2017)".
Deepak Panday's journal club session, where he will present the papers "Recovering the number of clusters in data sets with noise features using feature rescaling factors (Renato Cordeiro de Amorima and Christian Hennig, 2015)" and "Intelligent Choice of the Number of Clusters in K-Means Clustering An Experimental Study with Different Cluster Spreads (Mark Ming-Tso Chiang and Boris Mirkin, 2010)".Tagged as : Machine Learning
Mohammad Tayarani-Najaran's journal club session on his article "Maximum Satisfiability Anatomy of the Fitness Landscape for a Hard Combinatorial Optimization Problem (Adam Prugel-Bennett; Mohammad Tayarani-Najaran, 2011)".Tagged as : Machine Learning
Deepak Panday's journal club session on "Reverse Nearest Neighbor Queries: emergence and implementation issues".
Learning computational modelling neuroscience Machine Learning Homoeostasis Computer Science spiking neural networks navigation olfaction Dendritic computation PCA Neuronal Morphology robotics Open position Associative memory Studentship Topological data analysis Artificial Intelligence Software development deep learning computational neuroscience synaptic plasticity clustering Neural networks Neuromorphic hardware Network connectivity optimization Structural plasticity Cerebellum Persistent homology