Papers Explainable Artificial Intelligence (XAI)
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NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG application
Electroencephalogram (EEG)-based applications often require numerous channels to achieve high performance, which limits their widespread use. Various channel selection methods have been proposed to identify minimum EEG c…
channel selectionEEGElectroencephalogram (EEG)Explainable Artificial Intelligence (XAI)+1Explainable Artificial Intelligence in Biomedical Image Analysis: A Comprehensive Survey
Explainable artificial intelligence (XAI) has become increasingly important in biomedical image analysis to promote transparency, trust, and clinical adoption of DL models. While several surveys have reviewed XAI techniq…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)SurveyCan "consciousness" be observed from large language model (LLM) internal states? Dissecting LLM representations obtained from Theory of Mind test with Integrated Information Theory and Span Representation analysis
Integrated Information Theory (IIT) provides a quantitative framework for explaining consciousness phenomenon, positing that conscious systems comprise elements integrated through causal properties. We apply IIT 3.0 and …
Explainable Artificial Intelligence (XAI)Interpretable Machine LearningLanguage ModelingLanguage Modelling+1Towards Transparent AI: A Survey on Explainable Large Language Models
Large Language Models (LLMs) have played a pivotal role in advancing Artificial Intelligence (AI). However, despite their achievements, LLMs often struggle to explain their decision-making processes, making them a 'black…
DecoderExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)SurveyCommunicating Smartly in the Molecular Domain: Neural Networks in the Internet of Bio-Nano Things
Recent developments in the Internet of Bio-Nano Things (IoBNT) are laying the groundwork for innovative applications across the healthcare sector. Nanodevices designed to operate within the body, managed remotely via the…
Dataset GenerationExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Toward the Explainability of Protein Language Models for Sequence Design
Transformer-based language models excel in a variety of protein-science tasks that range from structure prediction to the design of functional enzymes. However, these models operate as black boxes, and their underlying w…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Protein DesignA Lightweight IDS for Early APT Detection Using a Novel Feature Selection Method
An Advanced Persistent Threat (APT) is a multistage, highly sophisticated, and covert form of cyber threat that gains unauthorized access to networks to either steal valuable data or disrupt the targeted network. These t…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)feature selectionIntrusion Detectionmidr: Learning from Black-Box Models by Maximum Interpretation Decomposition
The use of appropriate methods of Interpretable Machine Learning (IML) and eXplainable Artificial Intelligence (XAI) is essential for adopting black-box predictive models in fields where model and prediction explainabili…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Interpretable Machine LearningTransfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh
Brain tumors, regardless of being benign or malignant, pose considerable health risks, with malignant tumors being more perilous due to their swift and uncontrolled proliferation, resulting in malignancy. Timely identifi…
Brain Tumor ClassificationExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Transfer LearningDo Protein Transformers Have Biological Intelligence?
Deep neural networks, particularly Transformers, have been widely adopted for predicting the functional properties of proteins. In this work, we focus on exploring whether Protein Transformers can capture biological inte…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Applying XAI based unsupervised knowledge discovering for Operation modes in a WWTP. A real case: AQUAVALL WWTP
Water reuse is a key point when fresh water is a commodity in ever greater demand, but which is also becoming ever more available. Furthermore, the return of clean water to its natural environment is also mandatory. Ther…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
Recent explainable artificial intelligence (XAI) methods for time series primarily estimate point-wise attribution magnitudes, while overlooking the directional impact on predictions, leading to suboptimal identification…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Time SeriesA Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
Over the past decade, Medical Image Segmentation (MIS) using Deep Neural Networks (DNNs) has achieved significant performance improvements and holds great promise for future developments. This paper presents a comprehens…
EthicsExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Image Segmentation+2Explainable-AI powered stock price prediction using time series transformers: A Case Study on BIST100
Financial literacy is increasingly dependent on the ability to interpret complex financial data and utilize advanced forecasting tools. In this context, this study proposes a novel approach that combines transformer-base…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Interpretable Machine LearningStock Price Prediction+1DiCoFlex: Model-agnostic diverse counterfactuals with flexible control
Counterfactual explanations play a pivotal role in explainable artificial intelligence (XAI) by offering intuitive, human-understandable alternatives that elucidate machine learning model decisions. Despite their signifi…
counterfactualDecision MakingDiversityExplainable artificial intelligence+2Explanation User Interfaces: A Systematic Literature Review
Artificial Intelligence (AI) is one of the major technological advancements of this century, bearing incredible potential for users through AI-powered applications and tools in numerous domains. Being often black-box (i.…
Decision MakingExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Systematic Literature ReviewFrom What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
Counterfactuals play a pivotal role in the two distinct data science fields of causal inference (CI) and explainable artificial intelligence (XAI). While the core idea behind counterfactuals remains the same in both fiel…
Causal InferencecounterfactualExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Time series saliency maps: explaining models across multiple domains
Traditional saliency map methods, popularized in computer vision, highlight individual points (pixels) of the input that contribute the most to the model's output. However, in time-series they offer limited insights as s…
Explainable Artificial Intelligence (XAI)Interpretability Techniques for Deep LearningPhotoplethysmography (PPG) heart rate estimationSeizure Detection+2Addressing the Scarcity of Benchmarks for Graph XAI
While Graph Neural Networks (GNNs) have become the de facto model for learning from structured data, their decisional process remains opaque to the end user, undermining their deployment in safety-critical applications. …
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Graph ClassificationMost General Explanations of Tree Ensembles (Extended Version)
Explainable Artificial Intelligence (XAI) is critical for attaining trust in the operation of AI systems. A key question of an AI system is ``why was this decision made this way''. Formal approaches to XAI use a formal m…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)