Interpretability in deep learning for finance: A case study for the Heston model

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
Forbes

What’s In The Box? Decoding AI Model Interpretability

Rob Futrick, Anaconda CTO, drives AI & data science innovation. 25+ years in tech, ex-Microsoft, passionate mentor for STEM diversity. As artificial intelligence (AI) models grow in complexity, ...
Geeky Gadgets

Discover the AI Tool That Makes AI Less Mysterious – Google Gemma Scope

In the rapidly evolving world of artificial intelligence, language models stand as pillars of innovation, learning from vast datasets to understand and generate human-like text. These models, however, ...
Yahoo Finance

Martian Invents Model Router that Beats GPT-4 by Using Breakthrough “Model Mapping” Interpretability Technique; Receives $9 Million in Funding from Top VCs

SAN FRANCISCO, CA / ACCESSWIRE / November 15, 2023 / Today Martian emerges from stealth with the Model Router, an orchestration layer solution that routes each individual query to the best LLM in real ...
ascopubs.org

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia

A total of 737 treatment-naïve patients with CLL diagnosed at Mayo Clinic were included in this study. We compared predictive abilities for two survival models (Cox proportional hazards and random ...
Risk

Research on listed companies’ credit ratings, considering classification performance and interpretability

Any credit evaluation system must be able not only to identify defaults, but also to be interpretable and provide reasons for defaults. Therefore, this study uses the correlation coefficient and ...
ascopubs.org

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia

PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly ...