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ORCIDFrontiers in Artificial Intelligence, Volume 7
Volume 7, 2024
- Julio Cesar Cavalcanti
, Ronaldo Rodrigues da Silva, Anders Eriksson, Plínio A. Barbosa:
Exploring the performance of automatic speaker recognition using twin speech and deep learning-based artificial neural networks. - Dorian Quelle, Alexandre Bovet:
The perils and promises of fact-checking with large language models. - Sebastian Proksch, Julia Schühle, Elisabeth Streeb, Finn Weymann, Teresa Luther, Joachim Kimmerle:
The impact of text topic and assumed human vs. AI authorship on competence and quality assessment. - Roselyn Gabud, Portia Lapitan, Vladimir Y. Mariano, Eduardo Mendoza, Nelson Pampolina, Maria Art Antonette D. Clariño, Riza Batista-Navarro:
Unsupervised literature mining approaches for extracting relationships pertaining to habitats and reproductive conditions of plant species. - Jiangfeng Liu, Zhixiao Zhao, Na Wu, Xiyu Wang:
Research on the structure function recognition of PLOS. - Anna Omarini:
Editorial: Financial intermediation versus disintermediation: opportunities and challenges in the FinTech era, volume II. - Emmanuelle Dietz, Antonis C. Kakas, Loizos Michael:
Editorial: Computational argumentation: a foundation for human-centric AI. - Carlos-Francisco Méndez-Cruz, Joel Rodríguez-Herrera, Alfredo Varela-Vega, Valeria Mateo-Estrada, Santiago Castillo-Ramírez:
Unsupervised learning and natural language processing highlight research trends in a superbug. - Thomas Haipeter, Manfred Wannöffel, Jan-Torge Daus, Sandra Schaffarczik:
Human-centered AI through employee participation. - Wenbo Zhao, Ling Fan:
Time-series representation learning via Time-Frequency Fusion Contrasting. - Thilagavathi Ramamoorthy, Vaitheeswaran Kulothungan, Bagavandas Mappillairaju:
Topic modeling and social network analysis approach to explore diabetes discourse on Twitter in India. - Kristina Sutiene, Peter Schwendner, Ciprian Sipos, Luis Lorenzo, Miroslav Mirchev, Petre Lameski, Audrius Kabasinskas, Chemseddine Tidjani, Belma Ozturkkal, Jurgita Cerneviciene:
Enhancing portfolio management using artificial intelligence: literature review. - Anis Charfi, Mabrouka Besghaier, Raghda Akasheh, Andria Atalla, Wajdi Zaghouani:
Hate speech detection with ADHAR: a multi-dialectal hate speech corpus in Arabic. - Hope Orovwode, Oduntan Ibukun, John Amanesi Abubakar:
A machine learning-driven web application for sign language learning. - Minjun Chen, Yue Wu, Byron Wingerd, Zhichao Liu, Joshua Xu, Shraddha Thakkar, Thomas J. Pedersen, Tom Donnelly, Nicholas Mann, Weida Tong, Russell D. Wolfinger, Wenjun Bao:
Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost. - Pijun Hou, Yuepeng Wang, Ziming Shi, Pan Zheng:
An improved Dijkstra cross-plane image encryption algorithm based on a chaotic system. - Abdulrahman Mohamed Selim, Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Daniel Sonntag:
A review of machine learning in scanpath analysis for passive gaze-based interaction. - Fabian Hinder, Valerie Vaquet, Barbara Hammer:
One or two things we know about concept drift - a survey on monitoring in evolving environments. Part A: detecting concept drift. - Chidiebere Somadina Ike, Muhammad Nazeer, Nargis Bibi, Samah Alhazmi, Furey Eoghan:
Discriminative context-aware network for camouflaged object detection. - Giovanna A. Castro, Jade M. Almeida, João A. Machado-Neto, Tiago A. Almeida:
A decision support system to recommend appropriate therapy protocol for AML patients. - Michal J. Winnicki, Chase A. Brown, Hunter Porter, Cory B. Giles, Jonathan D. Wren:
BioVDB: biological vector database for high-throughput gene expression meta-analysis. - Edgar Dubourg, Valentin Thouzeau, Nicolas Baumard:
A step-by-step method for cultural annotation by LLMs. - Max Bauroth, Pavlos Rath-Manakidis, Valentin Langholf, Laurenz Wiskott, Tobias Glasmachers:
tachAId - An interactive tool supporting the design of human-centered AI solutions. - Seyed-Ali Sadegh-Zadeh, Alireza Soleimani Mamalo, Kaveh Kavianpour, Hamed Atashbar, Elham Heidari, Reza Hajizadeh, Amir Sam Roshani, Shima Habibzadeh, Shayan Saadat, Majid Behmanesh, Mozafar Saadat, Sahar Sayyadi Gargari:
Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions. - Mahdi-Reza Borna, Mohammad Mehdi Sepehri, Pejman Shadpour, Farhood Khaleghi Mehr:
Enhancing bladder cancer diagnosis through transitional cell carcinoma polyp detection and segmentation: an artificial intelligence powered deep learning solution. - Yehuda Nissenbaum, Amichai Painsky:
Cross-validated tree-based models for multi-target learning. - Saad Bin Saeed Ahmed, Shahzaib Naeem, Agha Muhammad Hammad Khan, Bilal Mazhar Qureshi, Amjad Hussain, Bulent Aydogan, Wazir Muhammad:
Artificial neural network-assisted prediction of radiobiological indices in head and neck cancer. - Stefano Triberti, Raffaele Di Fuccio, Chiara Scuotto, Emanuele Marsico, Pierpaolo Limone:
"Better than my professor?" How to develop artificial intelligence tools for higher education. - Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun Kumar Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri:
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. - T. Nitya Harshitha, M. Prabu, E. Suganya, S. Sountharrajan, Durga Prasad Bavirisetti, Navya Gadde, Lakshmi Sahithi Uppu:
ProTect: a hybrid deep learning model for proactive detection of cyberbullying on social media. - Gregoris Mentzas, Karl Hribernik, Johan Stahre, David Romero, John Soldatos:
Editorial: Human-Centered Artificial Intelligence in Industry 5.0. - Kalle Karlsson, Fisnik Dalipi:
Exploring the surveillance technology discourse: a bibliometric analysis and topic modeling approach. - Dalei Zhang, Wee Hoe Tan, Yuanyuan Wei, Chung Keat Tan:
DCM2Net: an improved face recognition model for panoramic stereoscopic videos. - Nataliya Tkachenko, Simon Frieder, Ryan-Rhys Griffiths, Christoph Nedopil:
Analyzing global utilization and missed opportunities in debt-for-nature swaps with generative AI. - Zakaria A. Al-Tarawneh, Maite Pena-Cristóbal, Eva Cernadas, José Manuel Suarez-Peñaranda, Manuel Fernández Delgado, Almoutaz Mbaidin, Mercedes Gallas-Torreira, Pilar Gándara-Vila:
OralImmunoAnalyser: a software tool for immunohistochemical assessment of oral leukoplakia using image segmentation and classification models. - Ashraf Ahmad, Mohammad Azzeh, Eman Al Nagi, Qasem Abu Al-Haija, Dana Halabi, Abdullah Aref, Yousef S. Abu Hour:
Hate speech detection in the Arabic language: corpus design, construction, and evaluation. - Zhewei Zhang, Chunhai Ke, Zhibin Zhang, Yujiong Chen, Hangbin Weng, Jieyang Dong, Mingming Hao, Botao Liu, Minzhe Zheng, Jin Li, Shaohua Ding, Yihong Dong, Zhaoxiang Peng:
Re-tear after arthroscopic rotator cuff repair can be predicted using deep learning algorithm. - Sebastião Quintas, Robin Vaysse, Mathieu Balaguer, Vincent Roger, Julie Mauclair, Jérôme Farinas, Virginie Woisard, Julien Pinquier:
SAMI: an M-Health application to telemonitor intelligibility and speech disorder severity in head and neck cancers. - Zhonglin Ye, Zhuoran Li, Gege Li, Haixing Zhao:
Dual-channel deep graph convolutional neural networks. - Saleena Younus, Lars Rönnstrand, Julhash U. Kazi:
Xputer: bridging data gaps with NMF, XGBoost, and a streamlined GUI experience. - Farheen Chincholi, Harald Köstler:
Transforming glaucoma diagnosis: transformers at the forefront. - Peter Schwendner, Jan-Alexander Posth:
Editorial: Trends in AI4ESG: AI for sustainable finance and ESG technology. - Silvia Marocco, Alessandra Talamo, Francesca Quintiliani:
From service design thinking to the third generation of activity theory: a new model for designing AI-based decision-support systems. - Aleksandr Raikov, Alberto Giretti, Massimiliano Pirani, Luca Spalazzi, Meng Guo:
Accelerating human-computer interaction through convergent conditions for LLM explanation. - Nicola Lettieri, Alessandro Pluchino:
Editorial: Hammer or telescope? Challenges and opportunities of science-oriented AI in legal and sociolegal research. - Mahdi-Reza Borna, Mohammad Mehdi Sepehri, Behnam Maleki:
An artificial intelligence algorithm to select most viable embryos considering current process in IVF labs. - Erick Velasquez, Nastya Kassir, Sravanthi Cheeti, Denison Kuruvilla, Rucha Sane, Steve Dang, Dale Miles, James Lu:
Predicting overall survival from tumor dynamics metrics using parametric statistical and machine learning models: application to patients with RET-altered solid tumors. - Alejandro Hernández-Cano, Yang Ni, Zhuowen Zou, Ali Zakeri, Mohsen Imani:
Hyperdimensional computing with holographic and adaptive encoder. - Maria Grazia Maggio, Gennaro Tartarisco, Davide Cardile, Mirjam Bonanno, Roberta Bruschetta, Loris Pignolo, Giovanni Pioggia, Rocco Salvatore Calabrò, Antonio Cerasa:
Exploring ChatGPT's potential in the clinical stream of neurorehabilitation. - Matthew B. Bird, Megan H. Roach, Roberts G. Nelson, Matthew S. Helton, Timothy C. Mauntel:
A machine learning framework to classify musculoskeletal injury risk groups in military service members. - Seyed-Ali Sadegh-Zadeh, Mahshid Bagheri, Mozafar Saadat:
Decoding children dental health risks: a machine learning approach to identifying key influencing factors. - Fatiha Limami, Boutaina Hdioud, Rachid Oulad Haj Thami:
Contextual emotion detection in images using deep learning. - Frederic D. Jordan, Martin Kutter, Jean-Marc Comby, Flora Brozzi, Ewelina Kurtys:
Open and remotely accessible Neuroplatform for research in wetware computing. - Mikhail Semin, Denis Kormshchikov:
Application of artificial intelligence in mine ventilation: a brief review. - Rashmi Chapke, Shruti Mondkar, Chirantap Oza, Vaman Khadilkar, Tim R. J. Aeppli, Lars Sävendahl, Neha Kajale, Dipali Ladkat, Anuradha Khadilkar, Pranay Goel:
The automated Greulich and Pyle: a coming-of-age for segmental methods? - Max Tretter:
Equipping AI-decision-support-systems with emotional capabilities? Ethical perspectives. - Nitasha Khan, Muhammad Amir Raza, Nayyar Hussain Mirjat, Neelam Balouch, Ghulam Abbas, Amr H. Yousef, Ezzeddine Touti:
Corrigendum: Unveiling the predictive power: a comprehensive study of machine learning model for anticipating chronic kidney disease. - Samuel Kernan Freire, Chaofan Wang, Mina Foosherian, Stefan Wellsandt, Santiago Ruiz-Arenas, Evangelos Niforatos:
Knowledge sharing in manufacturing using LLM-powered tools: user study and model benchmarking. - Annette Kluge, Uta Wilkens, Verena Nitsch, Corinna Peifer:
Editorial: Human-centered AI at work: common ground in theories and methods. - Zhenzhen Liu, Jin Peng Zhou, Kilian Q. Weinberger:
Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold. - Alexander Broll, Martin Rosentritt, Thomas Schlegl, Markus Goldhacker:
A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning. - Qingqing Huo, Jing Ruan, Yan Cui:
"Machine replacement" or "job creation": How does artificial intelligence impact employment patterns in China's manufacturing industry? - Lan He, Zekun Yang, Yudong Wang, Weidao Chen, Le Diao, Yitong Wang, Wei Yuan, Xu Li, Ying Zhang, Yongming He, E. Shen:
A deep learning algorithm to identify carotid plaques and assess their stability. - Abid Mahboob, Zafar Ullah, Ali Ovais, Muhammad Waheed Rasheed, S. A. Edalatpanah, Kainat Yasin:
A MAGDM approach for evaluating the impact of artificial intelligence on education using 2-tuple linguistic q-rung orthopair fuzzy sets and Schweizer-Sklar weighted power average operator. - Eike Bolmer, Adili Abulaitijiang, Jürgen Kusche, Ribana Roscher:
Estimating daily semantic segmentation maps of classified ocean eddies using sea level anomaly data from along-track altimetry. - Cristobal Rodolfo Guerra-Tamez, Keila Kraul Flores, Gabriela Mariah Serna-Mendiburu, David Chavelas Robles, Jorge Ibarra Cortés:
Decoding Gen Z: AI's influence on brand trust and purchasing behavior. - Alexander J. Didier, Anthony Nigro, Zaid Noori, Mohamed A. Omballi, Scott M. Pappada, Danae M. Hamouda:
Application of machine learning for lung cancer survival prognostication - A systematic review and meta-analysis. - Jacobo Roda-Segarra, Santiago Mengual-Andres, Andrés Payà Rico:
Analysis of social metrics on scientific production in the field of emotion-aware education through artificial intelligence. - Francesco Monaco, Annarita Vignapiano, Martina Piacente, Federica Farina, Claudio Pagano, Alessandra Marenna, Stefano Leo, Corrado Vecchi, Carlo Mancuso, Vincenzo Prisco, Davide Iodice, Annarosaria Auricchio, Roberto Cavaliere, Amelia D'Agosto, Michele Fornaro, Marco Solmi, Giulio Corrivetti, Alessio Fasano:
Innova4Health: an integrated approach for prevention of recurrence and personalized treatment of Major Depressive Disorder. - Raheleh Talebi, Carlos A. Celis-Morales, Abolfazl Akbari, Atefeh Talebi, Nasrin Borumandnia, Mohamad Amin Pourhoseingholi:
Machine learning-based classifiers to predict metastasis in colorectal cancer patients. - Muhammad Awais, Riaz Ahmad, Nabeela Kausar, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Anum Masood:
ALL classification using neural ensemble and memetic deep feature optimization. - William B. Weeks, Juan M. Lavista Ferres, James N. Weinstein:
Artificial intelligence: promise and peril in achieving the quadruple aim in healthcare. - Mohammed Hammoud, Melaku N. Getahun, Anna Baldycheva, Andrey Somov:
Machine learning-based infant crying interpretation. - Sabine Wehnert, Praneeth Chedella, Jonas Asche, Ernesto William De Luca:
A dynamic approach for visualizing and exploring concept hierarchies from textbooks. - Erich Robbi, Marco Bronzini, Paolo Viappiani, Andrea Passerini:
Personalized bundle recommendation using preference elicitation and the Choquet integral. - Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe:
Benchmarking the influence of pre-training on explanation performance in MR image classification. - Hangbok Lee, Minjae Cho, Hyuk-Yoon Kwon:
Attention-based speech feature transfer between speakers. - Nazhir Amaya-Tejera, Margarita Gamarra, Jorge I. Vélez, Eduardo E. Zurek:
A distance-based kernel for classification via Support Vector Machines. - Rajkiran Deshpande:
Smart match: revolutionizing organ allocation through artificial intelligence. - Guillaume Grelier, Miguel A. Casal, Alvaro Torrente-Patiño, Juan Romero:
Image sequence sorting algorithm for commercial tasks. - Shweta Kharya, Sunita Soni, Abhilash Pati, Amrutanshu Panigrahi, Jayant P. Giri, Hong Qin, Saurav Mallik, Debasish Swapnesh Kumar Nayak, Tripti Swarnkar:
Weighted Bayesian Belief Network for diabetics: a predictive model. - Ali Ahmad, Anderson X. W. Liew, Francesca Venturini, Athanasios P. Kalogeras, Alessandro Candiani, Giacomo Di Benedetto, Segun Ajibola, Pedro Cartujo, Pablo Romero, Aspasia Lykoudi, Michelangelo Mastrorocco De Grandis, Christos Xouris, Riccardo Lo Bianco, Irawan Doddy, Isa Elegbede, Giuseppe Falvo D'Urso Labate, Luis F. García del Moral, Vanessa Martos:
AI can empower agriculture for global food security: challenges and prospects in developing nations. - Jiaojiao Chen, Haiyang Hu, Jianping Yang:
Plant leaf disease recognition based on improved SinGAN and improved ResNet34. - Ekkehard Ernst, Janine Berg, Phoebe V. Moore:
Editorial: Artificial intelligence and the future of work: humans in control. - Olga Scrivner, Thuy Nguyen, Michael Ginda, Kosali Simon, Katy Börner:
Interactive network visualization of opioid crisis research: a tool for reinforcing data linkage skills for public health policy researchers. - Muhammad Waheed Rasheed, Abid Mahboob, Anfal Nabeel Mustafa, Israa Badi, Zainab Abdulkhaleq Ahmed Ali, Zainb H. Feza:
Enhancing breast cancer treatment selection through 2TLIVq-ROFS-based multi-attribute group decision making. - Petar Radanliev, Omar Santos, Alistair Brandon-Jones, Adam Joinson:
Ethics and responsible AI deployment. - Geetha Pratyusha Miriyala, Arun Kumar Sinha:
PSO-XnB: a proposed model for predicting hospital stay of CAD patients. - Richard W. Puyt, Dag Øivind Madsen:
Evaluating ChatGPT-4's historical accuracy: a case study on the origins of SWOT analysis. - Henry Kyalo, Henri E. Z. Tonnang, James P. Egonyu, John Olukuru, Chrysantus M. Tanga, Kennedy Senagi:
A convolutional neural network with image and numerical data to improve farming of edible crickets as a source of food - A decision support system. - Swastik Kumar Sahu, Kaushik Mazumdar:
Exploring security threats and solutions Techniques for Internet of Things (IoT): from vulnerabilities to vigilance. - Christopher Brown, Michael Spannowsky, Alexander Tapper, Simon Williams, Ioannis Xiotidis:
Quantum pathways for charged track finding in high-energy collisions. - Yue Zheng, Xu Sun, Baijie Feng, Kai Kang, Yuqi Yang, Ailin Zhao, Yijun Wu:
Rare and complex diseases in focus: ChatGPT's role in improving diagnosis and treatment. - Alice Bizzarri, Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi:
Integration between constrained optimization and deep networks: a survey. - Renan Chaves de Lima, Lucas Sinclair, Ricardo Megger, Magno Alessandro Guedes Maciel, Pedro Fernando da Costa Vasconcelos, Juarez Antônio Simões Quaresma:
Artificial intelligence challenges in the face of biological threats: emerging catastrophic risks for public health. - Jody Gall, Christopher J. Stanton:
Low-rank human-like agents are trusted more and blamed less in human-autonomy teaming. - Chanatip Saetia, Areeya Thonglong, Thanpitcha Amornchaiteera, Tawunrat Chalothorn, Supawat Taerungruang, Pakpoom Buabthong:
Streamlining event extraction with a simplified annotation framework. - Philip Ehnert, Julian Schröter:
Key point generation as an instrument for generating core statements of a political debate on Twitter. - Xukang Wang, Ying Cheng Wu, Xueliang Ji, Hongpeng Fu:
Algorithmic discrimination: examining its types and regulatory measures with emphasis on US legal practices. - Khansa Chemnad, Achraf Othman:
Digital accessibility in the era of artificial intelligence - Bibliometric analysis and systematic review. - Hezi Roda, Amir B. Geva:
Semi-supervised active learning using convolutional auto- encoder and contrastive learning. - Tyler Procko, Timothy Elvira, Omar Ochoa:
Dawn of the dialogue: AI's leap from lab to living room. - Beibei Xu, Yifan Mao, Wensheng Wang, Guipeng Chen:
Intelligent weight prediction of cows based on semantic segmentation and back propagation neural network. - Raissa Souza, Emma A. M. Stanley, Milton Camacho, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert:
A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm. - Farid Al Zoubi, Koorosh Kashanian, Paul E. Beaulé, Pascal Fallavollita:
First deployment of artificial intelligence recommendations in orthopedic surgery. - Vatsala Anand, Deepika Koundal, Wael Y. Alghamdi, Bayan M. Alsharbi:
Smart grading of diabetic retinopathy: an intelligent recommendation-based fine-tuned EfficientNetB0 framework. - Nikolai Nowaczyk, Sharyn O'Halloran:
Computing the impact of central clearing on systemic risk. - Sonia Jahangiri, Masoud Abdollahi, Ehsan Rashedi, Nasibeh Azadeh-Fard:
A machine learning model to predict heart failure readmission: toward optimal feature set. - Elize Herrewijnen, Dong Nguyen, Floris Bex, Kees van Deemter:
Human-annotated rationales and explainable text classification: a survey. - Arianna Agosto, Paolo Giudici, Alessandra Tanda:
Statistical learning models to measure the impact of COVID-19 on financial fragility. - Dayan Liu, Tao Song, Kang Na, Shudong Wang:
PED: a novel predictor-encoder-decoder model for Alzheimer drug molecular generation. - Ekamjit S. Deol, Matthew K. Tollefson, Alenka Antolin, Maya Zohar, Omri Bar, Danielle Ben-Ayoun, Lance A. Mynderse, Derek J. Lomas, Ross A. Avant, Adam R. Miller, Daniel S. Elliott, Stephen A. Boorjian, Tamir Wolf, Dotan Asselmann, Abhinav Khanna:
Automated surgical step recognition in transurethral bladder tumor resection using artificial intelligence: transfer learning across surgical modalities. - Yiting Li, Sichao Tian, Haiyue Zhu, Yeying Jin, Keqing Wang, Jun Ma, Cheng Xiang, Prahlad Vadakkepat:
Expandable-RCNN: toward high-efficiency incremental few-shot object detection. - Gábor Molnár, Luís Ferreira Pires, Oscar de Boer, Vera Kovaleva:
An empirical assessment of the use of an algorithm factory for video delivery operations. - Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo:
A multimodal deep learning architecture for smoking detection with a small data approach. - Arianna Mencattini, Elena Daprati, David Della-Morte, Fiorella Guadagni, Federica Sangiuolo, Eugenio Martinelli:
Assembloid learning: opportunities and challenges for personalized approaches to brain functioning in health and disease. - Nazma Khatun, Gabriella Spinelli, Federico Colecchia:
Technology innovation to reduce health inequality in skin diagnosis and to improve patient outcomes for people of color: a thematic literature review and future research agenda. - Chuan Qiu, Kuanjui Su, Zhe Luo, Qing Tian, Lanjuan Zhao, Li Wu, Hong-Wen Deng, Hui Shen:
Developing and comparing deep learning and machine learning algorithms for osteoporosis risk prediction. - Jiaxi Liu:
ChatGPT: perspectives from human-computer interaction and psychology. - Steve Abel, Juan Carlos Criado, Michael Spannowsky:
Training neural networks with universal adiabatic quantum computing. - R. Abirami, Poovammal E:
HAWKFOG-an enhanced deep learning framework for the Fog-IoT environment. - Pablo Cerezo-Martínez, Alejandro Nicolás-Sánchez, Francisco J. Castro-Toledo:
Analyzing the European institutional response to ethical and regulatory challenges of artificial intelligence in addressing discriminatory bias. - Mohammed Alarfaj, Azzam Al Madini, Ahmed Alsafran, Mohammed Farag, Slim Chtourou, Ahmed Afifi, Ayaz Ahmad, Osama Al Rubayyi, Ali Al Harbi, Mustafa Al Thunaian:
Wearable sensors based on artificial intelligence models for human activity recognition. - Farooq Zaman, Faisal Kamiran, Matthew Shardlow, Saeed-Ul Hassan, Asim Karim, Naif Radi Aljohani:
SATS: simplification aware text summarization of scientific documents. - Jithin K. Sreedharan, Asma Alharbi, Amal Alsomali, Gokul Krishna Gopalakrishnan, Abdullah Almojaibel, Rawan Alajmi, Ibrahim Albalawi, Musallam Alnasser, Meshal Alenezi, Abdullah Alqahtani, Mohammed Alahmari, Eidan Alzahrani, Manjush Karthika:
Artificial intelligence in respiratory care: knowledge, perceptions, and practices - a cross-sectional study. - Lu Zhou, Chaoyong Wu, Yiheng Chen, Zhicheng Zhang:
Multitask connected U-Net: automatic lung cancer segmentation from CT images using PET knowledge guidance. - Alexander Ryjov, Vagan Kazaryan, Andrey Golub, Alina Egorova:
Towards enhanced creativity in fashion: integrating generative models with hybrid intelligence. - Yan Xi, Yi Xu, Zheng Shu:
Impact of hypertension on coronary artery plaques and FFR-CT in type 2 diabetes mellitus patients: evaluation utilizing artificial intelligence processed coronary computed tomography angiography. - Hassan S. Al Khatib, Subash Neupane, Harish Kumar Manchukonda, Noorbakhsh Amiri Golilarz, Sudip Mittal, Amin Amirlatifi, Shahram Rahimi:
Patient-centric knowledge graphs: a survey of current methods, challenges, and applications. - Flavia Mayo, Ciira Ma Maina, Mvurya Mgala, Neema Mduma:
Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania. - Bihua He, Zheng Qiu:
Development and validation of an interpretable machine learning for mortality prediction in patients with sepsis. - Haruna Chiroma, Ibrahim Abaker Targio Hashem, Mohammed Maray:
Bibliometric analysis for artificial intelligence in the internet of medical things: mapping and performance analysis. - Lina Abou-Abbas, Khadidja Henni, Imene Jemal, Neila Mezghani:
Generative AI with WGAN-GP for boosting seizure detection accuracy. - Seyed-Ali Sadegh-Zadeh, Sanaz Khanjani, Shima Javanmardi, Bita Bayat, Zahra Naderi, Amir M. Hajiyavand:
Catalyzing IVF outcome prediction: exploring advanced machine learning paradigms for enhanced success rate prognostication. - Yeping Hu, Bo Lei, Yash Girish Shah, Jose Cadena, Amar Saini, Grigorios Panagakos, Phan Nguyen:
Comparative study of machine learning techniques for post-combustion carbon capture systems. - Chi-Ning Chang, John Hui, Cammie Justus-Smith, Tzu-Wei Wang:
Navigating STEM careers with AI mentors: a new IDP journey. - Ahsan Mahmood, Junier Oliva, Martin Andreas Styner:
Anomaly detection via Gumbel Noise Score Matching. - Zafran Hussain Shah, Marcel Müller, Wolfgang Hübner, Henning Ortkrass, Barbara Hammer, Thomas Huser, Wolfram Schenck:
Image restoration in frequency space using complex-valued CNNs. - Nicholas Yan:
Generating rhythm game music with jukebox. - Azat Absadyk, Olzhas Turar, Darkhan Akhmed-Zaki:
Using synthetic dataset for semantic segmentation of the human body in the problem of extracting anthropometric data. - Leila Aissaoui Ferhi, Manel Ben Amar, Fethi Choubani, Ridha Bouallegue:
Enhancing diagnostic accuracy in symptom-based health checkers: a comprehensive machine learning approach with clinical vignettes and benchmarking. - Jaime Govea, Rommel Gutierrez, William Eduardo Villegas-Ch.:
Transparency and precision in the age of AI: evaluation of explainability-enhanced recommendation systems. - Yizhen Li, Zhongzhi Luan, Yixing Liu, Heyuan Liu, Jiaxing Qi, Dongran Han:
Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation. - Feras N. Al-Obeidat, Wael Hafez, Muneir Gador, Nesma Ahmed, Marwa Muhammed Abdeljawad, Antesh Yadav, Asrar Rashed:
Diagnostic performance of AI-based models versus physicians among patients with hepatocellular carcinoma: a systematic review and meta-analysis. - Justin H. Pham, Charat Thongprayoon, Jing Miao, Supawadee Suppadungsuk, Priscilla Koirala, Iasmina M. Craici, Wisit Cheungpasitporn:
Large language model triaging of simulated nephrology patient inbox messages. - Wael Alosaimi, Hager Saleh, Ali A. Hamzah, Nora El-Rashidy, Abdullah Alharbi, Ahmed Elaraby, Sherif Mostafa:
ArabBert-LSTM: improving Arabic sentiment analysis based on transformer model and Long Short-Term Memory. - Kadri-Liis Kusmin, Peeter Normak, Tobias Ley:
A methodology for planning, implementation and evaluation of skills intelligence management - results of a design science project in technology organisations. - Cigdem Sengul, Rumyana Neykova, Giuseppe Destefanis:
Software engineering education in the era of conversational AI: current trends and future directions. - Bharathi Mohan Gurusamy, Prasanna Kumar Rangarajan, Ali Altalbe:
Whale-optimized LSTM networks for enhanced automatic text summarization. - Meshari Alazmi:
Enzyme catalytic efficiency prediction: employing convolutional neural networks and XGBoost. - Atefeh Shahroudnejad, Payam Mousavi, Oleksii Perepelytsia, Sahir, David Staszak, Matthew E. Taylor, Brent Bawel:
A novel framework for automated warehouse layout generation. - Keita Tokuda, Yuichi Katori:
Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing. - Ömer Ates, Garima Pandey, Athanasios Gousiopoulos, Theodoros G. Soldatos:
A brief reference to AI-driven audible reality (AuRa) in open world: potential, applications, and evaluation. - Sarada Krithivasan, Sanchari Sen, Swagath Venkataramani, Anand Raghunathan:
MixTrain: accelerating DNN training via input mixing. - Anastasia Panfilova, Ekaterina A. Valueva, Ivan Y. Ilyin:
The application of explainable artificial intelligence methods to models for automatic creativity assessment. - Chien Ching Lee, Malcolm Yoke Hean Low:
Using genAI in education: the case for critical thinking. - Jean-Christophe Bélisle-Pipon, Gavin Victor:
Ethics dumping in artificial intelligence. - William Eduardo Villegas-Ch., Jaime Govea, Walter Gaibor-Naranjo, Santiago Sánchez-Viteri:
Advancing smart city factories: enhancing industrial mechanical operations via deep learning techniques. - Abhijit Poddar, S. R. Rao:
Evolving intellectual property landscape for AI-driven innovations in the biomedical sector: opportunities in stable IP regime for shared success. - Fabian Kieser, Paul Tschisgale, Sophia Rauh, Xiaoyu Bai, Holger Maus, Stefan Petersen, Manfred Stede, Knut Neumann, Peter Wulff:
David vs. Goliath: comparing conventional machine learning and a large language model for assessing students' concept use in a physics problem. - Shane Burns, Andrew Cushing, Anna Taylor, David J. Lowe, Christopher Carlin:
Supporting long-term condition management: a workflow framework for the co-development and operationalization of machine learning models using electronic health record data insights. - Axel Wassington, Raúl Higueras, Sergi Abadal:
SkyMap: a generative graph model for GNN benchmarking. - Pedro Cardenas Canto, Vania Dimitrova, Stuart Sherman, Stuart W. Flint:
Does personality matter: examining the value of personality insights for personalized nudges that encourage the selection of learning resources. - Shuichi Inoue, Sou Nobukawa, Haruhiko Nishimura, Eiji Watanabe, Teijiro Isokawa:
Multi-scale dynamics by adjusting the leaking rate to enhance the performance of deep echo state networks. - Mostafa Rezapour, Muhammad Khalid Khan Niazi, Hao Lu, Aarthi Narayanan, Metin Nafi Gürcan:
Machine learning-based analysis of Ebola virus' impact on gene expression in nonhuman primates. - Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Sheraz Ahmed, Sebastian J. Vollmer, Andreas Dengel:
Survival prediction landscape: an in-depth systematic literature review on activities, methods, tools, diseases, and databases. - Mohammad Khodadad, Ali Shiraee Kasmaee, Hamidreza Mahyar, Morteza Rezanejad:
MLGCN: an ultra efficient graph convolutional neural model for 3D point cloud analysis. - Saifullah Saifullah, Dominique Mercier, Adriano Lucieri, Andreas Dengel, Sheraz Ahmed:
The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods. - Ala Balti, Abdelaziz Hamdi, Sabeur Abid, Mohamed Moncef Ben Khelifa, Mounir Sayadi:
Enhanced fingerprint classification through modified PCA with SVD and invariant moments. - Djavan De Clercq, Elias Nehring, Harry Mayne, Adam Mahdi:
Large language models can help boost food production, but be mindful of their risks. - Mu Li, Yijun Feng, Xiangdong Wu:
AttentionTTE: a deep learning model for estimated time of arrival. - Jayakumar Kaliappan, I. J. Saravana Kumar, S. Sundaravelan, T. Anesh, R. R. Rithik, Yashbir Singh, Diana V. Vera Garcia, Yassine Himeur, Wathiq Mansoor, Shadi Atalla, Kathiravan Srinivasan:
Analyzing classification and feature selection strategies for diabetes prediction across diverse diabetes datasets. - Jose M. Gonzalez, Thomas H. Edwards, Guillaume L. Hoareau, Eric J. Snider:
Refinement of machine learning arterial waveform models for predicting blood loss in canines. - Somnath Banerjee, David Tomás:
Editorial: Explainable AI in Natural Language Processing. - Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, Rikard Saqe, Kevin Shen, Breanna Duffy:
Artificial intelligence and machine learning applications for cultured meat. - Kumar Bhuvaneswari, Murugesan Varalakshmi:
Efficient incremental training using a novel NMT-SMT hybrid framework for translation of low-resource languages. - Hanan Saadat, Mohammad Mehdi Sepehri, Mahdi-Reza Borna, Behnam Maleki:
A modified U-Net to detect real sperms in videos of human sperm cell. - Khrystyna Lipianina-Honcharenko, Yevgeniy V. Bodyanskiy, Nataliia Kustra, Andrii Ivasechko:
OLTW-TEC: online learning with sliding windows for text classifier ensembles. - Jana Kierdorf, Timo T. Stomberg, Lukas Drees, Uwe Rascher, Ribana Roscher:
Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction. - Amogh Mannekote, Adam Davies, Juan D. Pinto, Shan Zhang, Daniel Olds, Noah L. Schroeder, Blair Lehman, Diego Zapata-Rivera, Chengxiang Zhai:
Large language models for whole-learner support: opportunities and challenges. - Burcu Arslan, Blair Lehman, Caitlin Tenison, Jesse R. Sparks, Alexis A. López, Lin Gu, Diego Zapata-Rivera:
Opportunities and challenges of using generative AI to personalize educational assessment. - Tamar Gur, Boaz Hameiri, Yossi Maaravi:
Political ideology shapes support for the use of AI in policy-making. - Archana Talhar Belge, Shiwani Gupta, Sujata Alegavi, Vidyadhari Singh, Kshama Shukla:
Advancements, challenges, and future prospects of smart grid technology in India. - Elaheh Partovi, Ankica Babic, Arash Gharehbaghi:
A review on deep learning methods for heart sound signal analysis. - Sarah R. Thomson, Beverley Ann Pickard-Jones, Stephanie Baines, Pauldy C. J. Otermans:
The impact of AI on education and careers: What do students think? - Zhe Khae Lim, Tee Connie, Michael Kah Ong Goh, Nor Izzati Saedon:
Fall risk prediction using temporal gait features and machine learning approaches. - Nabil M. Abdel-Aziz, Wael Said, Mohamed M. Abdelhafeez, Asmaa H. Ali:
Advanced interpretable diagnosis of Alzheimer's disease using SECNN-RF framework with explainable AI. - Luca Mariotti, Veronica Guidetti, Federica Mandreoli, Andrea Belli, Paolo Lombardi:
Combining large language models with enterprise knowledge graphs: a perspective on enhanced natural language understanding. - Daniil Buryakov, Máté Kovács, Uwe Serdült, Victor V. Kryssanov:
Enhancing the design of voting advice applications with BERT language model. - Haoyuan Chen, Nuobei Shi, Ling Chen, Raymond Lee:
Enhancing educational Q&A systems using a Chaotic Fuzzy Logic-Augmented large language model. - Asim Waqas, Aakash Tripathi, Ravi Prakash Ramachandran, Paul A. Stewart, Ghulam Rasool:
Multimodal data integration for oncology in the era of deep neural networks: a review. - Anasse Bari, Tanya Pushkin Garg, Yvonne Wu, Sneha Singh, David Nagel:
Exploring artificial intelligence techniques to research low energy nuclear reactions. - Luís Cavique:
Implications of causality in artificial intelligence. - Guanhong Li, Xiaoyun Guo:
A framework for extending co-creative communication models to sustainability research. - Maria Palwasha Khan, Eoin Daniel O'sullivan:
A comparison of the diagnostic ability of large language models in challenging clinical cases. - Mohammad Alali, Mahdi Imani:
Bayesian reinforcement learning for navigation planning in unknown environments. - Kyung Geun Kim, Byeong Tak Lee:
Self-attention with temporal prior: can we learn more from the arrow of time? - Kerstin Denecke, Daniel Reichenpfader, Dominic Willi, Karin Kennel, Harald Bonel, Knud Nairz, Nikola Cihoric, Damien Papaux, Hendrik von Tengg-Kobligk:
Person-based design and evaluation of MIA, a digital medical interview assistant for radiology. - Jithin K. Sreedharan, Fred Saleh, Abdullah Alqahtani, Ibrahim Ahmed Albalawi, Gokul Krishna Gopalakrishnan, Hadi Abdullah Alahmed, Basem Ahmed Alsultan, Dhafer Mana Alalharith, Musallam Alnasser, Ayedh Dafer Alahmari, Manjush Karthika:
Applications of artificial intelligence in emergency and critical care diagnostics: a systematic review and meta-analysis. - Hongshu Liu, Nabeel Seedat, Julia Ive:
Modeling disagreement in automatic data labeling for semi-supervised learning in Clinical Natural Language Processing. - Fabian Hinder, Valerie Vaquet, Barbara Hammer:
One or two things we know about concept drift - a survey on monitoring in evolving environments. Part B: locating and explaining concept drift. - Nada Mohammed Alfeir:
Dimensions of artificial intelligence on family communication. - Zhihuan Li, Junxiong Huang, Jingfang Chen, Jin Zeng, Hong Jiang, Lin Ding, Tianzi Zhang, Wen Sun, Rong Lu, Qiuli Zhang, Lizhong Liang:
A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model. - Ephrem Tibebe Mekonnen, Luca Longo, Pierpaolo Dondio:
A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers. - Nahid Jafari, Martin Lewison:
Forecasting air passenger traffic and market share using deep neural networks with multiple inputs and outputs. - Fangzhou Li, Jason Youn, Christian Millsop, Ilias Tagkopoulos:
Predicting clinical trial success for Clostridium difficile infections based on preclinical data. - K. P. Das, P. Gavade:
A review on the efficacy of artificial intelligence for managing anxiety disorders. - Frederik Dilling, Marc Herrmann:
Using large language models to support pre-service teachers mathematical reasoning - an exploratory study on ChatGPT as an instrument for creating mathematical proofs in geometry. - Myles Joshua Toledo Tan, Nicholle Mae Amor Tan Maravilla:
Shaping integrity: why generative artificial intelligence does not have to undermine education. - Andrew Runge, Yigal Attali, Geoffrey T. LaFlair, Yena Park, Jacqueline Church:
A generative AI-driven interactive listening assessment task. - Nazmuzzaman Khan, Adibuzzaman Rahi, Veera Rajendran, Mohammad Al Hasan, Sohel Anwar:
Real-time crop row detection using computer vision- application in agricultural robots. - Geofrey Kapalaga, Florence Nameere Kivunike, Susan Kerfua, Daudi Jjingo, Savino Biryomumaisho, Justus Rutaisire, Paul Ssajjakambwe, Swidiq Mugerwa, Seguya Abbey, Mulindwa H. Aaron, Yusuf Kiwala:
Enhancing random forest predictive performance for foot and mouth disease outbreaks in Uganda: a calibrated uncertainty prediction approach for varying distributions. - Franz Krause, Heiko Paulheim, Elmar Kiesling, Kabul Kurniawan, Maria Chiara Leva, Hector Diego Estrada-Lugo, Gernot Stübl, Nazim Kemal Üre, Javier Dominguez-Ledo, Maqbool Khan, Pedro Demolder, Hans Gaux, Bernhard Heinzl, Thomas Hoch, Jorge Martínez Gil, Agastya Silvina, Bernhard Alois Moser:
Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned. - Zijian Zhu, Hyemin Lee, Younghwan Pan, Pengyu Cai:
AI assistance in enterprise UX design workflows: enhancing design brief creation for designers. - Malika Soulami, Saad Benchekroun, Asiya Galiulina:
Exploring how AI adoption in the workplace affects employees: a bibliometric and systematic review. - Bama Andika Putra:
Governing AI in Southeast Asia: ASEAN's way forward. - Salvatore Capuozzo, Stefano Marrone, Michela Gravina, Giuseppe Cringoli, Laura Rinaldi, Maria Paola Maurelli, Antonio Bosco, Giulia Orrù, Gian Luca Marcialis, Luca Ghiani, Stefano Bini, Alessia Saggese, Mario Vento, Carlo Sansone:
Automating parasite egg detection: insights from the first AI-KFM challenge. - Ian Moore, Christopher Magnante, Ellie Embry, Jennifer Mathis, Scott Mooney, Shereen Haj-Hassan, Maria Cottingham, Prasad R. Padala:
Doctor AI? A pilot study examining responses of artificial intelligence to common questions asked by geriatric patients. - Abinand Nallathambi, Christin David Bose, Wilfried Haensch, Anand Raghunathan:
LRMP: Layer Replication with Mixed Precision for spatial in-memory DNN accelerators. - Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro:
From outputs to insights: a survey of rationalization approaches for explainable text classification. - Carsten Röttgen, Britta Herbig, Tobias Weinmann, Andreas Müller:
Algorithmic management and human-centered task design: a conceptual synthesis from the perspective of action regulation and sociomaterial systems theory. - Qaisar Ali:
Bayesian model of tilling wheat confronting climatic and sustainability challenges. - Yasir Abdelgadir, Charat Thongprayoon, Jing Miao, Supawadee Suppadungsuk, Justin H. Pham, Michael A. Mao, Iasmina M. Craici, Wisit Cheungpasitporn:
AI integration in nephrology: evaluating ChatGPT for accurate ICD-10 documentation and coding. - Julio Cabero Almenara, Antonio Palacios-Rodríguez, María Isabel Loaiza-Aguirre, Paola Salomé Andrade Abarca:
The impact of pedagogical beliefs on the adoption of generative AI in higher education: predictive model from UTAUT2. - Kazuma Nagashima, Junya Morita, Yugo Takeuchi:
Intrinsic motivation in cognitive architecture: intellectual curiosity originated from pattern discovery. - Albert Whata, Katlego Dibeco, Kudakwashe Madzima, Ibidun Obagbuwa:
Uncertainty quantification in multi-class image classification using chest X-ray images of COVID-19 and pneumonia. - Fatiha Limami, Boutaina Hdioud, Rachid Oulad Haj Thami:
Corrigendum: Contextual emotion detection in images using deep learning. - Somayeh Fatahi, Julita Vassileva, Chanchal K. Roy:
Comparing emotions in ChatGPT answers and human answers to the coding questions on Stack Overflow. - G. Sumathi, M. Uma Devi:
Inpainting of damaged temple murals using edge- and line-guided diffusion patch GAN. - Elvis Ortega-Ochoa, Josep-Maria Sabaté, Marta Arguedas, Jordi Conesa, Thanasis Daradoumis, Santi Caballé:
Exploring the utilization and deficiencies of Generative Artificial Intelligence in students' cognitive and emotional needs: a systematic mini-review. - Marcel Geromel, Philipp Cimiano:
Sequence labeling via reinforcement learning with aggregate labels. - Mokhtar Harrabi, Abdelaziz Hamdi, Bouraoui Ouni, Jamel Bel Hadj Tahar:
Real-time temperature anomaly detection in vaccine refrigeration systems using deep learning on a resource-constrained microcontroller. - Jakob Sommer, Fiona Dierksen, Tal Zeevi, Anh Tuan Tran, Emily W. Avery, Adrian Mak, Ajay Malhotra, Charles C. Matouk, Guido J. Falcone, Victor Torres-Lopez, Sanjey Aneja, James Duncan, Lauren H. Sansing, Kevin N. Sheth, Seyedmehdi Payabvash:
Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke. - Jenia Kim, Henry Maathuis, Danielle Sent:
Human-centered evaluation of explainable AI applications: a systematic review. - Joaquim Jorge Vicente, Lurdes Neves, Inês Bernardo:
The potential of Logistics 4.0 technologies: a case study through business intelligence framing by applying the Delphi method. - Ramprasath Jayaprakash, Krishnaraj Natarajan, J. Alfred Daniel, Chandru Vignesh Chinnappan, Jayant Giri, Hong Qin, Saurav Mallik:
Heuristic machine learning approaches for identifying phishing threats across web and email platforms. - Stefan Haas, Konstantin Hegestweiler, Michael Rapp, Maximilian Muschalik, Eyke Hüllermeier:
Stakeholder-centric explanations for black-box decisions: an XAI process model and its application to automotive goodwill assessments. - Geofrey Kapalaga, Florence N. Kivunike, Susan Kerfua, Daudi Jjingo, Savino Biryomumaisho, Justus Rutaisire, Paul Ssajjakambwe, Swidiq Mugerwa, Yusuf Kiwala:
A unified Foot and Mouth Disease dataset for Uganda: evaluating machine learning predictive performance degradation under varying distributions. - Balazs Feher, Camila Tussie, William V. Giannobile:
Applied artificial intelligence in dentistry: emerging data modalities and modeling approaches. - Rajiv Kashyap, Yana Samuel, Linda Weiser Friedman, Jim Samuel:
Editorial: Artificial intelligence education & governance -human enhancive, culturally sensitive and personally adaptive HAI. - Mia Gisselbaek, Laurens Minsart, Ekin Köselerli, Mélanie Suppan, Basak Ceyda Meco, Laurence Seidel, Adelin Albert, Odmara L. Barreto Chang, Sarah Saxena, Joana Berger-Estilita:
Beyond the stereotypes: Artificial Intelligence image generation and diversity in anesthesiology. - Sivaramakrishnan Rajaraman, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani:
Noise-induced modality-specific pretext learning for pediatric chest X-ray image classification. - Johan Klarin, Eva Hoff, Adam Larsson, Daiva Daukantaite:
Adolescents' use and perceived usefulness of generative AI for schoolwork: exploring their relationships with executive functioning and academic achievement. - Jeremy A. Balch, A. Hayes Chatham, Philip K. W. Hong, Lauren Manganiello, Naveen Baskaran, Azra Bihorac, Benjamin Shickel, Ray E. Moseley, Tyler J. Loftus:
Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor. - Qiushi Wang, Xixiang Deng, Pan Huang, Qiang Ma, Lianhua Zhao, Yangyang Feng, Yiying Wang, Yuan Zhao, Yan Chen, Peng Zhong, Peng He, Mingrui Ma, Peng Feng, Hualiang Xiao:
Prediction of PD-L1 tumor positive score in lung squamous cell carcinoma with H&E staining images and deep learning. - Samantha Bove, Francesca Arezzo, Gennaro Cormio, Erica Silvestris, Alessia Cafforio, Maria Colomba Comes, Annarita Fanizzi, Giuseppe Accogli, Gerardo Cazzato, Giorgio De Nunzio, Brigida Maiorano, Emanuele Naglieri, Andrea Lupo, Elsa Vitale, Vera Loizzi, Raffaella Massafra:
Explainable machine learning for predicting recurrence-free survival in endometrial carcinosarcoma patients. - Werner Alexander Isop:
A conceptual ethical framework to preserve natural human presence in the use of AI systems in education. - Stevan Harnad:
Language writ large: LLMs, ChatGPT, meaning, and understanding. - Jingxuan Tu, Kyeongmin Rim, Bingyang Ye, Kenneth Lai, James Pustejovsky:
Dense Paraphrasing for multimodal dialogue interpretation. - Tayyeba Bashir, Tan Zhongfu, Burhan Sadiq, Ammara Naseem:
How AI competencies can make B2B marketing smarter: strategies to boost customer lifetime value. - Dominik Stursa, Pavel Rozsival, Petr Dolezel:
Efficient dataset extension using generative networks for assessing degree of coating degradation around scribe. - Alexandra Maertens, Steve Brykman, Thomas Hartung, Andrei Gafita, Harrison Bai, David Hoelzer, Ed Skoudis, Channing J. Paller:
Navigating the unseen peril: safeguarding medical imaging in the age of AI. - Siwen Zhang, Qi Chu, Yujun Li, Jialu Liu, Jiayi Wang, Chi Yan, Wenxi Liu, Yizhen Wang, Chengcheng Zhao, Xinyue Zhang, Yuwen Chen:
Evaluation of large language models under different training background in Chinese medical examination: a comparative study. - Yuri Oliveira, Iêda Rios, Paula Araújo, Alinne Macambira, Marcos Guimarães, Lúcia Sales, Marcos Rosa Júnior, André Nicola, Mauro Nakayama, Hermeto Paschoalick, Francisco Assis de Oliveira Nascimento, Carlos Castillo-Salgado, Vania Moraes Ferreira, Hervaldo S. Carvalho:
Artificial intelligence in triage of COVID-19 patients. - Rujia Chen, Akbar Ghobakhlou, Ajit Narayanan:
Interpreting CNN models for musical instrument recognition using multi-spectrogram heatmap analysis: a preliminary study. - Abdullah Eskandarany:
Adoption of artificial intelligence and machine learning in banking systems: a qualitative survey of board of directors. - Haowei Hua, Co-Jiayu Yao:
Investigating generative AI models and detection techniques: impacts of tokenization and dataset size on identification of AI-generated text. - Sarah M. Alhammad, Doaa Sami Khafaga, Walaa M. El-Hady, Farid M. Samy, Khalid M. Hosny:
Deep learning and explainable AI for classification of potato leaf diseases. - José Luis Uc-Castillo, Ana Elizabeth Marín-Celestino, Diego Armando Martínez-Cruz, José Tuxpan-Vargas, José Alfredo Ramos-Leal, Janete Morán Ramírez:
A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities. - Fan Sun, Li Zhang, Zhongsheng Tong:
Application progress of artificial intelligence in tumor diagnosis and treatment. - Anatolii Marushchak, Stanislav Petrov, Anayit Khoperiya:
Countering AI-powered disinformation through national regulation: learning from the case of Ukraine. - Yuemin Wang, Ian Stavness:
Dynamic-budget superpixel active learning for semantic segmentation. - Jack Grieve, Sara Bartl, Matteo Fuoli, Jason Grafmiller, Weihang Huang, Alejandro Jawerbaum, Akira Murakami, Marcus Perlman, Dana Roemling, Bodo Winter:
The sociolinguistic foundations of language modeling. - Yan Wang, Xiaoye Jin, Rui Qiu, Bo Ma, Sheng Zhang, Xuyang Song, Jinxi He:
Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint. - Tariq Ammar Almoabady, Yasser Mohammad Alblawi, Ahmad Emad Albalawi, Majed M. Aborokbah, S. Manimurugan, Ahmed Aljuhani, Hussain Aldawood, P. Karthikeyan:
Protecting digital assets using an ontology based cyber situational awareness system. - Fabio Ibrahim, Johann-Christoph Münscher, Monika Daseking, Nils-Torge Telle:
The technology acceptance model and adopter type analysis in the context of artificial intelligence. - Chandrasekar Subramanian, Balaraman Ravindran:
Causal contextual bandits with one-shot data integration. - Rhythm Arora, Pooja Prajod, Matteo Lavit Nicora, Daniele Panzeri, Giovanni Tauro, Rocco Vertechy, Matteo Malosio, Elisabeth André, Patrick Gebhard:
Socially interactive agents for robotic neurorehabilitation training: conceptualization and proof-of-concept study. - Anish Salvi, Leo Arnal, Kevin Ly, Gabriel Ferreira, Sophia Y. Wang, Curtis P. Langlotz, Vinit Mahajan, Chase A. Ludwig:
Ocular Biometry OCR: a machine learning algorithm leveraging optical character recognition to extract intra ocular lens biometry measurements. - Inam Abousaber, Haitham F. Abdalla, Hany El-Ghaish:
Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets. - Andrea Passerini, Aryo Gema, Pasquale Minervini, Burcu Sayin, Katya Tentori:
Fostering effective hybrid human-LLM reasoning and decision making. - Maduravani Ramasundaram, Honglae Sohn, Thirumurthy Madhavan:
A bird's-eye view of the biological mechanism and machine learning prediction approaches for cell-penetrating peptides. - Christos Adam:
Segmenting female students' perceptions about Fintech using Explainable AI. - Xiaoyan Dai:
Robust deep-learning based refrigerator food recognition. - Poshan Belbase, Rajan Bhusal, Sapana Sharma Ghimire, Shreesti Sharma, Bibek Banskota:
Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things. - Jacob Matalon, August Spurzem, Sana Ahsan, Elizabeth White, Ronik Kothari, Madhu Varma:
Reader's digest version of scientific writing: comparative evaluation of summarization capacity between large language models and medical students in analyzing scientific writing in sleep medicine. - Marta Arguedas, Thanasis Daradoumis, Santi Caballé:
Measuring the effects of pedagogical agent cognitive and affective feedback on students' academic performance. - Eliezer Zahid Gill, Daniela Cardone, Alessia Amelio:
Revolutionizing the construction industry by cutting edge artificial intelligence approaches: a review. - Alexander Samuels:
Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review. - Nontokozo Mokoena, Ibidun Christiana Obagbuwa:
An analysis of artificial intelligence automation in digital music streaming platforms for improving consumer subscription responses: a review. - Zahra Khalilzadeh, Motahareh Kashanian, Saeed Khaki, Lizhi Wang:
A hybrid deep learning-based approach for optimal genotype by environment selection. - Khalil El Gharib, Bakr Jundi, David Furfaro, Raja-Elie E. Abdulnour:
AI-assisted human clinical reasoning in the ICU: beyond "to err is human". - Wilhelm Johannes Kilian, Jaco Prinsloo, Jan Vosloo, Stéphan Taljaard:
A synthetic segmentation dataset generator using a 3D modeling framework and raycaster: a mining industry application. - Siu Cheong Ho, Yiliang Chen, Yao Jie Xie, Wing-Fai Yeung, Shu-Cheng Chen, Jing Qin:
Visceral condition assessment through digital tongue image analysis. - Huibo Yang, Mengxuan Hu, Amoreena Most, W. Anthony Hawkins, Brian Murray, Susan E. Smith, Sheng Li, Andrea Sikora:
Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education. - Shizhou Ma, Yifeng Zhang, Delong Li, Yixin Sun, Zhaowen Qiu, Lei Wei, Suyu Dong:
SPEMix: a lightweight method via superclass pseudo-label and efficient mixup for echocardiogram view classification. - Sumam Francis, Fernando Crema Garcia, Kanimozhi Uma, Willem Mestdagh, Bart De Moor, Marie-Francine Moens:
Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease. - Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Ch Srivardhan Kumar, Mahendra Shelar:
Revolutionizing smart grid security: a holistic cyber defence strategy. - Fernando Marmolejo-Ramos, Rebecca Marrone, Malgorzata Korolkiewicz, Florence Gabriel, George Siemens, Srecko Joksimovic, Yuki Yamada, Yuki Mori, Talal Rahwan, Maria Sahakyan, Belona Sonna, Assylbek Meirmanov, Aidos Bolatov, Bidisha Som, Izuchukwu Ndukaihe, Nwadiogo C. Arinze, Josef Kundrát, Lenka Skanderová, Van-Giang Ngo, Giang Nguyen, Michelle Lacia, Chun-Chia Kung, Meiselina Irmayanti, Abdul Muktadir, Fransiska Timoria Samosir, Marco Tullio Liuzza, Roberto Giorgini, Omid Khatin-Zadeh, Hassan Banaruee, Asil Ali Özdogru, Kris Ariyabuddhiphongs, Wachirawit Rakchai, Natalia Trujillo, Stella Maris Valencia, Armina Janyan, Kiril Kostov, Pedro R. Montoro, José Hinojosa, Kelsey E. Medeiros, Thomas E. Hunt, Julian Posada, Raquel Meister Ko Freitag, Julian Tejada:
Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment. - Diego Zapata-Rivera, Ilaria Torre, Chien-Sing Lee, Antonio Sarasa Cabezuelo, Ioana Ghergulescu, Paul Libbrecht:
Editorial: Generative AI in education. - Iryna Hartsock, Ghulam Rasool:
Vision-language models for medical report generation and visual question answering: a review. - Ermiyas Birihanu, Imre Lendák:
Explainable correlation-based anomaly detection for Industrial Control Systems. - Jaime Govea, Alexandra Maldonado Navarro, Santiago Sánchez-Viteri, William Eduardo Villegas-Ch.:
Implementation of deep reinforcement learning models for emotion detection and personalization of learning in hybrid educational environments. - Ahmed Salem, Kaoru Sumi:
Deception detection in educational AI: challenges for Japanese middle school students in interacting with generative AI robots. - Abolfazl Akbari, Maryam Adabi, Mohsen Masoodi, Abolfazl Namazi, Fatemeh Mansouri, Seidamir Pasha Tabaeian, Zahra Shokati Eshkiki:
Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers. - Seihee Kim, Shengyun Yang:
Accuracy improvement in financial sanction screening: is natural language processing the solution? - Javad Khaje Mozafari, Seyed Ali Moshtaghioon, Seyed Mani Mahdavi, Alireza Ghaznavi, Morteza Behjat, Ali Yeganeh:
The role of artificial intelligence in preoperative planning for Total Hip Arthroplasty: a systematic review. - Abdullah Hosseini, Ahmed Serag:
Is synthetic data generation effective in maintaining clinical biomarkers? Investigating diffusion models across diverse imaging modalities. - Oleksander Barmak, Iurii Krak, Sergiy Yakovlev, Eduard Manziuk, Pavlo Radiuk, Vladislav A. Kuznetsov:
Toward explainable deep learning in healthcare through transition matrix and user-friendly features. - Summra Saleem, Muhammad Nabeel Asim, Ludger van Elst, Markus Junker, Andreas Dengel:
MLR-predictor: a versatile and efficient computational framework for multi-label requirements classification. - Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang:
Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm. - Quintana M. Clark, Disha Basavaraja Kanavikar, Jason V. Clark, Patrick J. Donnelly:
Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings. - Jean-Christophe Bélisle-Pipon:
Commentary: Implications of causality in artificial intelligence. Why Causal AI is easier said than done. - Kerstin Denecke, Daniel Reichenpfader, Dominic Willi, Karin Kennel, Harald Bonel, Knud Nairz, Nikola Cihoric, Damien Papaux, Hendrik von Tengg-Kobligk:
Corrigendum: Person-based design and evaluation of MIA, a digital medical interview assistant for radiology. - Muhammad Mostafa Monowar, SM Nuruzzaman Nobel, Maharin Afroj, Md. Abdul Hamid, Md. Zia Uddin, Md. Mohsin Kabir, Muhammad Firoz Mridha:
Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques. - Shoji Taniguchi, Toshihiro Sakamoto, Haruki Nakamura, Yasunori Nonoue, Di Guan, Akari Fukuda, Hirofumi Fukuda, Kaede C. Wada, Takuro Ishii, Jun-Ichi Yonemaru, Daisuke Ogawa:
Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols. - Sheetal Mahadik, Madhuri Gedam, Deven Shah:
Environment sustainability with smart grid sensor. - Nicholas Ozor, Joel Nwakaire, Alfred Nyambane, Wentland Muhatiah, Cynthia Nwobodo:
Enhancing Africa's agriculture and food systems through responsible and gender inclusive AI innovation: insights from AI4AFS network. - Georgios Tzoumanekas, Michail Chatzianastasis, Loukas Ilias, George Kiokes, John E. Psarras, Dimitris Askounis:
A graph neural architecture search approach for identifying bots in social media. - Muhammad Waheed Rasheed, Hind Y. Saleh, Areen A. Salih, Jahangeer Karamat, Muhammad Bilal:
An overview of pink eye infection to evaluate its medications: group decision-making approach with 2-tuple linguistic T-spherical fuzzy WASPAS method. - Yihao Hou, Christoph Bert, Ahmed Gomaa, Godehard Lahmer, Daniel Höfler, Thomas Weissmann, Raphaela Voigt, Philipp Schubert, Charlotte Schmitter, Alina Depardon, Sabine Semrau, Andreas K. Maier, Rainer Fietkau, Yixing Huang, Florian Putz:
Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology. - Catherine Kosten, Farhad Nooralahzadeh, Kurt Stockinger:
Evaluating the effectiveness of prompt engineering for knowledge graph question answering. - Analee J. Etheredge, Samuel Hosmer, Aldo Crossa, Rachel Suss, Mark Torrey:
What is in a food store name? Leveraging large language models to enhance food environment data. - Sadi Evren Seker:
Editorial: Large language models in work and business. - Sriram Ravichandran, Nandan Sudarsanam, Balaraman Ravindran, Konstantinos V. Katsikopoulos:
Active learning with human heuristics: an algorithm robust to labeling bias. - Veton Matoshi, Maria Carmela De Vuono, Roberto Gaspari, Mark Kröll, Michael Jantscher, Sara Lucia Nicolardi, Giuseppe Mazzola, Manuela Rauch, Vedran Sabol, Eileen Salhofer, Riccardo Mariani:
One size fits all: Enhanced zero-shot text classification for patient listening on social media. - Estibaliz García-Huete, Sara Ignacio-Cerrato, David Pacios, José Luis Vázquez-Poletti, María José Pérez-Serrano, Andrea Donofrio, Clemente Cesarano, Nikolaos Schetakis, Alessio Di Iorio:
Evaluating the role of generative AI and color patterns in the dissemination of war imagery and disinformation on social media. - Eric A. F. Reinhardt, Dinesh Ramakrishnan, Sergei Gleyzer:
SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions. - Muhammad Zia Ul Haq, Andrew Hornback, Arash Harzand, David Andrew Gutman, Bradley Gallaher, Evan D. Schoenberg, Yuanda Zhu, May D. Wang, Blake Anderson:
Graph theoretic visualization of patient and health worker messaging in the EHR. - Mark E. Lokanan, Sana Ramzan:
Predicting financial distress in TSX-listed firms using machine learning algorithms. - Carlos H. Espino-Salinas, Huizilopoztli Luna-García, José M. Celaya-Padilla, Cristian Barría Huidobro, Nadia Karina Gamboa-Rosales, David Rondon, Klinge Orlando Villalba-Condori:
Multimodal driver emotion recognition using motor activity and facial expressions. - Hasan Beyari:
The effect of AI on pink marketing: the case of women's purchasing behavior using mobile applications. - Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani:
Self-trainable and adaptive sensor intelligence for selective data generation. - Bo Lei, Yucheng Fu, Jose Cadena, Amar Saini, Yeping Hu, Jie Bao, Zhijie Xu, Brenda Ng, Phan Nguyen:
Accelerating computational fluid dynamics simulation of post-combustion carbon capture modeling with MeshGraphNets. - Carlos Escudero-Cipriani, Julio García-del Junco, Raquel Chafloque-Céspedes, Aldo Alvarez-Risco:
Frugal innovation in the business environment: a literature review and future perspectives. - David M. Schmidt, Philipp Cimiano:
Grammar-constrained decoding for structured information extraction with fine-tuned generative models applied to clinical trial abstracts. - Lucas Waltz, Sushma Katari, Chaeun Hong, Adit Anup, Julian Colbert, Anirudh Potlapally, Taylor Dill, Canaan Porter, John Engle, Christopher Stewart, Hari Subramoni, Scott A. Shearer, Raghu Machiraju, Osler Ortez, Laura Lindsey, Arnab Nandi, Sami Khanal:
Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision. - Mark Esposito, Saman Sarbazvatan, Terence Tse, Gabriel Silva-Atencio:
The use of artificial intelligence for automatic analysis and reporting of software defects. - Monir Abdullah:
Artificial intelligence-based framework for early detection of heart disease using enhanced multilayer perceptron. - Dev Aditya, Krizia Silvestri, Pauldy C. J. Otermans:
Can AI teach me employability? A multi-national study in three countries.
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