Requirements engineering for machine learning: A review and reflection
Today, many industrial processes are undergoing digital transformation, which often
requires the integration of well-understood domain models and state-of-the-art machine …
requires the integration of well-understood domain models and state-of-the-art machine …
A survey of knowledge tracing: Models, variants, and applications
Modern online education has the capacity to provide intelligent educational services by
automatically analyzing substantial amounts of student behavioral data. Knowledge Tracing …
automatically analyzing substantial amounts of student behavioral data. Knowledge Tracing …
[HTML][HTML] Here are the answers. What is your question? Bayesian collaborative tag-based recommendation of time-sensitive expertise in question-answering …
Expert recommendation is a central task in question-answering communities that involves
facing several issues, such as quantifying users' expertise and replying propensity …
facing several issues, such as quantifying users' expertise and replying propensity …
Achieving diversity in counterfactual explanations: a review and discussion
In the field of Explainable Artificial Intelligence (XAI), counterfactual examples explain to a
user the predictions of a trained decision model by indicating the modifications to be made …
user the predictions of a trained decision model by indicating the modifications to be made …
[HTML][HTML] Novel vision transformer–based bi-LSTM model for LU/LC prediction—Javadi Hills, India
SN Mohanrajan, A Loganathan - Applied Sciences, 2022 - mdpi.com
Continuous monitoring and observing of the earth's environment has become interactive
research in the field of remote sensing. Many researchers have provided the Land Use/Land …
research in the field of remote sensing. Many researchers have provided the Land Use/Land …
Explainability and white box in drug discovery
KK Kırboğa, S Abbasi… - Chemical Biology & Drug …, 2023 - Wiley Online Library
Recently, artificial intelligence (AI) techniques have been increasingly used to overcome the
challenges in drug discovery. Although traditional AI techniques generally have high …
challenges in drug discovery. Although traditional AI techniques generally have high …
Controller performance monitoring: A survey of problems and a review of approaches from a data-driven perspective with a focus on oscillations detection and …
Optimal operations of industrial control systems require rigorous monitoring to ensure safety,
increase profitability, and minimize plant maintenance downtime. Thus, controller …
increase profitability, and minimize plant maintenance downtime. Thus, controller …
[HTML][HTML] Spoken language identification system using convolutional recurrent neural network
Following recent advancements in deep learning and artificial intelligence, spoken
language identification applications are playing an increasingly significant role in our day-to …
language identification applications are playing an increasingly significant role in our day-to …
[HTML][HTML] Survey on explainable AI: From approaches, limitations and Applications aspects
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …
and has greatly benefited our lives. While AI can accurately extract critical features and …
A Primer on Seq2Seq Models for Generative Chatbots
The recent spread of Deep Learning-based solutions for Artificial Intelligence and the
development of Large Language Models has pushed forwards significantly the Natural …
development of Large Language Models has pushed forwards significantly the Natural …