For machine learning models to be reliable and trustworthy, their decisions must be interpretable. As these models find increasing use in safety-critical applications, it is important that not just the model predictions but also their explanations (a...
The development of relational electromagnetism after Gauss appears to stop around 1870. Maxwell recognised relational electromagnetism as mathematically equivalent to his own formulae and called for an explanation of why so different conceptions have...
Jun 26, 2025 · Human intelligence is a complex mental capability involving the ability to reason, plan, solve problems, think abstractly, and learn from experience. Scientific understanding portrays it not …
A CF explainer identifies the minimum modifications in the input that would alter the model's output to its complement. In other words, a CF explainer computes the minimum modifications required to cross the model's decision boundary. Current deep ge...
A declarative sentence is a sentence that makes a statement, e.g., 'I like cheese.' A declarative sentence does not give an order ('Pass the cheese.') or ask a question ('Do you like cheese?').
Aug 18, 2025 · Red hair is a visually striking and relatively uncommon human trait. Found in a small percentage of the global population, this distinctive hair color has fascinated people for centuries. Its …
The Ohio State University Big Ear radio telescope detected in 1977 the Wow! Signal, one of the most famous and intriguing signals of extraterrestrial origin. Characterized by its strong relative intensity and narrow bandwidth near the 1420 MHz hydrog...
If you’re just starting to learn Korean, and you want to learn online at your own pace, then you’ve come to the right place. Each lesson includes easy-to-follow explanations, lots of examples, and a free …
Recommendation systems play a crucial role in various domains, suggesting items based on user behavior.However, the lack of transparency in presenting recommendations can lead to user confusion. In this paper, we introduce Data-level Recommendation E...
The recent growth in the popularity and success of deep learning models on NLP classification tasks has accompanied the need for generating some form of natural language explanation of the predicted labels. Such generated natural language (NL) explan...
Stranger Things - The Mind Flayer might seem like just a magical supernatural being, but it's a life form made of electrically conductive particles, forming a neutral, incorporeal network. The Incred...
Both of my boys do this with their water fountain, and I’ve seen plenty of videos of other people’s cats doing it too. Why? But I ask again: WHY? I need an answer so I can sleep at night. ...
A plot of the calcium emission versus color of late type stars exhibits a reduced population or gap at intermediate activity, somewhat higher than that of the Sun. We suggest that this gap, first noted by A. Vaughan and G. Preston in 1980 may result...
before you say "then just dont use it" that's my issue- half the time I make a post somewhere I get permabanned with no explanation. Try my best to follow the rules but the little dick egos of those t...
In this paper, we tackle the problem of explanations in a deep-learning based model for recommendations by leveraging the technique of layer-wise relevance propagation. We use a Deep Convolutional Neural Network to extract relevant features from the...
Several explanations can be found in the literature about the origin of colorectal cancer. There is however some agreement on the fact that the carcinogenic process is a result of several genetic mutations of normal cells. The colon epithelium is cha...
The rise of AI methods to make predictions and decisions has led to a pressing need for more explainable artificial intelligence (XAI) methods. One common approach for XAI is to produce a post-hoc explanation, explaining why a black box ML model made...