The ability to predict the future trajectory of a patient is a key step toward the development of therapeutics for complex diseases such as Alzheimer's disease (AD). However, most machine learning approaches developed for prediction of disease progre...
Up to now, modern Machine Learning is mainly based on fitting high dimensional functions to enormous data sets, taking advantage of huge hardware resources. We show that biologically inspired neuron models such as the Leaky-Integrate-and-Fire (LIF) n...
Hall of Fame athlete Jim Command dies at 85 Archived 2014-08-13 at the Wayback Machine Carlos Espejo Former Kiwi cricket rep Graham Gedye dies Frederick
Arab-American scholar Alixa Naff dies at 93 Archived 2014-07-18 at the Wayback Machine Aboriginal artist Dorothy Napangardi dies in car crash Paul Olefsky, a Cellist
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** Mirror ** Main repo on GitLab! ** The Sandvik project is a minimal Dalvik JVM written in C++. It is a work in progress, aiming to become a full-featured Dalvik Virtual Machine (VM) implementation. (⭐ 7)
Transformers have achieved great success in machine learning applications. Normalization techniques, such as Layer Normalization (LayerNorm, LN) and Root Mean Square Normalization (RMSNorm), play a critical role in accelerating and stabilizing the tr...
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository (⭐ 1001)
We consider objective evaluation measures of saliency explanations for complex black-box machine learning models. We propose simple robust variants of two notions that have been considered in recent literature: (in)fidelity, and sensitivity. We analy...
Final Project for Exploring Urban Data with Machine Learning (⭐ 0)
Mixed Binary Quadratic Programs (MBQPs) are a class of NP-hard problems that arise in a wide range of applications, including finance, machine learning, and chemical and energy systems. Large-scale MBQPs are challenging to solve with exact algorithms...
Today, massive amounts of streaming data from smart devices need to be analyzed automatically to realize the Internet of Things. The Complex Event Processing (CEP) paradigm promises low-latency pattern detection on event streams. However, CEP systems...
Machine Unlearning is rising as a new field, driven by the pressing necessity of ensuring privacy in modern artificial intelligence models. This technique primarily aims to eradicate any residual influence of a specific subset of data from the knowle...
Standard neuroimaging data analysis based on traditional principles of experimental design, modelling, and statistical inference is increasingly complemented by novel analysis methods, driven e.g. by machine learning methods. While these novel approa...
Feb 11, 2025 · What Is Generative AI (GenAI)? Generative AI (GAI) is the name given to a subset of AI machine learning technologies that have recently developed the ability to rapidly create content in …
Military personnel and security agents often face significant physical risks during conflict and engagement situations, particularly in urban operations. Ensuring the rapid and accurate communication of incidents involving injuries is crucial for the...
We introduce BOURBON, a log-structured merge (LSM) tree that utilizes machine learning to provide fast lookups. We base the design and implementation of BOURBON on empirically-grounded principles that we derive through careful analysis of LSM design....
Data Sets for Machine Learning Practice (⭐ 344)
With the advances in machine learning, there is a growing interest in AI-enabled tools for autocompleting source code. GitHub Copilot, also referred to as the "AI Pair Programmer", has been trained on billions of lines of open source GitHub code, and...