Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
Analysis of Tools for the Development of Conversational Agents
by Lamya Benaddi, Charaf Ouaddi, Ismaïl Khriss and Brahim Ouchao
 
Comparing Machine Learning Methods—SVR, XGBoost, LSTM, and MLP— For Forecasting the Moroccan Stock Market
by Hassan Oukhouya and Khalid El Himdi
 
Developing Conversational Agent Using Deep Learning Techniques
by Charaf Ouaddi, Lamya Benaddi, Ismaïl Khriss and Abdeslam Jakimi
 
The Odd Beta Prime-G Family of Probability Distributions: Properties and Applications to Engineering and Environmental Data
by Ahmad Abubakar Suleiman, Hanita Daud, Mahmod Othman, Aliyu Ismail Ishaq, Rachmah Indawati, Mohd Lazim Abdullah and Abdullah Husin
 
Integrating Large Language Models into Higher Education: Guidelines for Effective Implementation
by Karl de Fine Licht
 
Measuring Gender Bias in Contextualized Embeddings
by Styliani Katsarou, Borja Rodríguez-Gálvez and Jesse Shanahan
 
Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data
by Nils Rethmeier and Isabelle Augenstein
 
Measuring Embedded Human-Like Biases in Face Recognition Models
by SangEun Lee, Soyoung Oh, Minji Kim and Eunil Park
 
How GPT Realizes Leibniz’s Dream and Passes the Turing Test without Being Conscious
by Gordana Dodig-Crnkovic
 
A Software Factory for Accelerating the Development of Recommender Systems in Smart Tourism Mobile Applications: An Overview
by Loubna Mamad, Mamadou Mbow, Ismaïl Khriss and Abdeslam Jakimi
Views Article
Comparing Machine Learning Methods—SVR, XGBoost, LSTM, and MLP— For Forecasting the Moroccan Stock Market
by Hassan Oukhouya and Khalid El Himdi
Integrating Large Language Models into Higher Education: Guidelines for Effective Implementation
by Karl de Fine Licht
Are Large Language Models Intelligent? Are Humans?
by Olle Häggström
The Details Matter: Preventing Class Collapse in Supervised Contrastive Learning
by Daniel Y. Fu, Mayee F. Chen, Michael Zhang, Kayvon Fatahalian and Christopher Ré
Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data
by Nils Rethmeier and Isabelle Augenstein
Measuring Gender Bias in Contextualized Embeddings
by Styliani Katsarou, Borja Rodríguez-Gálvez and Jesse Shanahan
Abelian Groups of Fractional Operators
by Anthony Torres-Hernandez, Fernando Brambila-Paz and Rafael Ramirez-Melendez
Quantifying Bias in a Face Verification System
by Megan Frisella, Pooya Khorrami, Jason Matterer, Kendra Kratkiewicz and Pedro Torres-Carrasquillo
General Theory of Information, Digital Genome, Large Language Models, and Medical Knowledge-Driven Digital Assistant
by W. Patrick Kelly, Francesco Coccaro and Rao Mikkilineni
Abstracts of the 1st International Conference on Trends and Innovations in Smart Technologies (ICTIST’22)
by Inam Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, Zakaria Boulouard, Sarah El Himer and Tarandeep Kaur Bhatia
Downloads Article
Extracting Salient Facts from Company Reviews with Scarce Labels
by Jinfeng Li, Nikita Bhutani, Alexander Whedon, Chieh-Yang Huang, Estevam Hruschka and Yoshihiko Suhara
The Details Matter: Preventing Class Collapse in Supervised Contrastive Learning
by Daniel Y. Fu, Mayee F. Chen, Michael Zhang, Kayvon Fatahalian and Christopher Ré
The Desymmetrized PSL(2, Z) Group; Its ‘Square-Box’ One-Cusp Congruence Subgroups
by Orchidea Maria Lecian
Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data
by Nils Rethmeier and Isabelle Augenstein
Measuring Gender Bias in Contextualized Embeddings
by Styliani Katsarou, Borja Rodríguez-Gálvez and Jesse Shanahan
Comparing Machine Learning Methods—SVR, XGBoost, LSTM, and MLP— For Forecasting the Moroccan Stock Market
by Hassan Oukhouya and Khalid El Himdi
Measuring Embedded Human-Like Biases in Face Recognition Models
by SangEun Lee, Soyoung Oh, Minji Kim and Eunil Park
Integrating Large Language Models into Higher Education: Guidelines for Effective Implementation
by Karl de Fine Licht
Quantifying Bias in a Face Verification System
by Megan Frisella, Pooya Khorrami, Jason Matterer, Kendra Kratkiewicz and Pedro Torres-Carrasquillo
Dynamic Analysis for the Physically Correct Model of a Fractional-Order Buck-Boost Converter
by Daniel F. Zambrano-Gutierrez, Jorge M. Cruz-Duarte, Gerardo Humberto Valencia-Rivera, Ivan Amaya and Juan Gabriel Avina-Cervantes
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