SDDM: an interpretable statistical concept drift detection method for data streams by Micevska, Simona

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Neuron-level Interpretation of Deep NLP Models: A Survey by Hassan Sajjad (5297441)

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Live Simultaneous Interpreting of Political Speeches into Arabic by Al-Nashash, Maysa

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Translation Methods in Practice: Text Function and the Degrees of Freedom in Translation by Munshi, Kholoud M.

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Interpretable scientific discovery with symbolic regression: a review by Nour Makke (19160749)

“…<p dir="ltr">Symbolic regression is emerging as a promising machine learning method for learning succinct underlying interpretable mathematical expressions directly from data. …”

A Survey on Opinion Reason Mining and Interpreting Sentiment Variations by ALATTAR, FUAD

“…This paper attempts to explore main approaches to Opinion Reason Mining, with focus on Interpreting Sentiment Variations. Our objectives are investigating various methods for solving the Sentiment Variations’ Reasoning problem and identifying some empirical research gaps. …”
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Understanding Cardiology Practitioners’ Interpretations of Electrocardiograms: An Eye-Tracking Study by Mohammed Tahri Sqalli (18420840)

“…</p><h3>Methods</h3><p dir="ltr">A total of 63 participants with different levels of clinical expertise took part in an eye-tracking study that consisted of interpreting 10 ECGs with different cardiac abnormalities. …”

Online ethnography of activist networks of interpreters: an “ethnonarrative” methodology for socio-political change by Julie Boéri (17916992)

“…It provides an epistemological-theoretical framework to explore identity, action and space in prefigurative transnational social movements, and a set of narrative methods and analytical techniques to conduct an ethnography of communication. …”

Transforming Dermatopathology With AI: Addressing Bias, Enhancing Interpretability, and Shaping Future Diagnostics by Diala Ra'Ed Kamal Kakish (22330627)

“…To evaluate how AI mitigates biases, improves interpretability, and promotes inclusivity in dermatopathology while highlighting novel technologies like multimodal models and explainable AI (XAI).…”

Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4 by Mohammed Rasol Al Saidat

“…In this study, we investigate the role of Generative Pre-trained Transformer 4 (GPT-4) in enhancing interpretability of sequential predictions in Natural Language Processing (NLP). …”
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Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach by Mohammed Tahri Sqalli (18420840)

“…</p><h3>Objective</h3><p dir="ltr">We aimed to use eye tracking as a tool to research how eye fixation can be used to gain a deeper understanding of how medical students interpret ECGs.</p><h3>Methods</h3><p dir="ltr">In total, 16 medical students were recruited to interpret 10 different ECGs each. …”

Expectations of emergency patients regarding triage system knowledge upon arrival: an interpretive study by Mohammad Minwer Alnaeem (19143733)

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

“…The novelty of this work lies in the integration of explainable AI with robust preprocessing and age-specific modeling across multiple ASD datasets, addressing both diagnostic accuracy and clinical interpretability. It can be considered that the suggested method can efficiently diagnose ASD at a very early stage and enhance the understanding of ASD diagnosis clinically.…”

Comparing DeepSeek and GPT-4o in ECG interpretation: Is AI improving over time? by Serkan GÜNAY (23072548)

“…<h3 dir="ltr">Background</h3><p dir="ltr">DeepSeek is a recently launched large language model (LLM), whereas GPT-4o is an advanced ChatGPT version whose electrocardiography (ECG) interpretation capabilities have been previously studied. …”

تفسير جزء تبارك للشيخ عبد القادر المغربي: دراسة نقديّة by Alshyyab , Ahmad Hussein

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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks by Rawan AlSaad (14159019)

“…We also present a case-study of our model’s interpretability illustrating how clinicians can gain some transparency into the predictions.…”

Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma by Rawan AlSaad (14159019)

“…</p><h3>Methods</h3><p dir="ltr">We use a real EHR dataset comprising 11071 patients, to evaluate and compare CD interpretations from LSTM and BiLSTM models. …”

Enabling the adoption of machine learning in clinical decision support: A Total Interpretive Structural Modeling Approach by Ahmad A. Abujaber (14586054)

“…<p dir="ltr">It has been reported that the healthcare industry is the slowest adopter of artificial intelligence<u> </u>methods, particularly machine learning (ML), compared to other industries. …”

Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context by SALIM, MAHA JAWDAT

“…Accurately predicting student performance can help educators tailor teaching methods and interventions to individual needs. This study focuses on predicting and interpreting student performance in a blended learning environment using ML in a Jordanian school context. …”
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How consistent is the interpretation of renal scarring in pediatric patients using technetium-99m dimercaptosuccinic acid scintigraphy by Mansura Naznine (21399893)

“…However, variability in observer interpretation poses challenges, potentially impacting clinical decision-making and outcomes.…”