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ORCIDFrontiers in Artificial Intelligence, Volume 6
Volume 6, February 2023
- Shufan Jiang, Stéphane Cormier, Rafael Angarita, Francis Rousseaux:
Improving text mining in plant health domain with GAN and/or pre-trained language model. - Sucheer Maddury
, Krish Desai:
DeepAD: A deep learning application for predicting amyloid standardized uptake value ratio through PET for Alzheimer's prognosis. - Mitchell J. Nathan:
Disembodied AI and the limits to machine understanding of students' embodied interactions. - Kazem Askari Nasab, Jamal Mirzaei, Alireza Zali, Sarfenaz Gholizadeh, Meisam Akhlaghdoust:
Coronavirus diagnosis using cough sounds: Artificial intelligence approaches. - Javier E. Flores, Daniel Claborne, Zachary D. Weller, Bobbie-Jo M. Webb-Robertson, Katrina M. Waters, Lisa M. Bramer:
Missing data in multi-omics integration: Recent advances through artificial intelligence. - Kaan Kilic, Saskia Weck, Timotheus Kampik, Helena Lindgren:
Argument-based human-AI collaboration for supporting behavior change to improve health. - Sherman Aline, Gilles Hubert, Yoann Pitarch, Rallou Thomopoulos:
Infant food users' perceptions of safety: A web-based analysis approach. - Jay Cao, Jacky Chen, Soroush Farghadani, John Hull, Zissis Poulos, Zeyu Wang, Jun Yuan:
Gamma and vega hedging using deep distributional reinforcement learning. - Emmanuel Kieffer, Thomas Meyer, Georges Gloukoviezoff, Hakan Lucius, Pascal Bouvry:
Learning private equity recommitment strategies for institutional investors. - Sheela Ramanna, Negin Ashrafi, Evan Loster, Karen Debroni, Shelley Turner:
Rough-set based learning: Assessing patterns and predictability of anxiety, depression, and sleep scores associated with the use of cannabinoid-based medicine during COVID-19. - Anton Sigfrids, Jaana Leikas, Henrikki Salo-Pöntinen, Emmi Koskimies:
Human-centricity in AI governance: A systemic approach. - Cédric Buche, Francois Lasson, Sébastien Kerdélo:
Conditional autoencoder pre-training and optimization algorithms for personalized care of hemophiliac patients. - Sara Mahmoud, Erik Billing, Henrik Svensson, Serge Thill:
How to train a self-driving vehicle: On the added value (or lack thereof) of curriculum learning and replay buffers. - Patrick Thiam, Ludwig Lausser, Christopher Kloth, Daniel Blaich, Andreas Liebold, Meinrad Beer, Hans A. Kestler:
Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images. - Alexander Henlein, Anju Gopinath, Nikhil Krishnaswamy, Alexander Mehler, James Pustejovsky:
Grounding human-object interaction to affordance behavior in multimodal datasets. - Brian S. Caffo, Fabio Aurelio D'Asaro, Artur Garcez, Emanuela Raffinetti:
Corrigendum: Editorial: Explainable artificial intelligence models and methods in finance and healthcare. - Itzy E. Morales Pantoja, Lena Smirnova, Alysson R. Muotri, Karl J. Wahlin, Jeffrey Kahn, J. Lomax Boyd, David H. Gracias, Timothy D. Harris, Tzahi Cohen-Karni, Brian S. Caffo, Alexander S. Szalay, Fang Han, Donald J. Zack, Ralph Etienne-Cummings, Akwasi Akwaboah, July Carolina Romero, Dowlette-Mary Alam El Din, Jesse D. Plotkin, Barton L. Paulhamus, Erik C. Johnson, Frederic Gilbert, J. Lowry Curley, Ben Cappiello, Jens C. Schwamborn, Eric J. Hill, Paul Roach, Daniel Tornero, Caroline Krall, Rheinallt Parri, Fenna Sillé, Andre Levchenko, Rabih E. Jabbour, Brett J. Kagan, Cynthia A. Berlinicke, Qi Huang, Alexandra Maertens, Kathrin Herrmann, Katya Tsaioun, Raha M. Dastgheyb, Christa Whelan Habela, Joshua T. Vogelstein, Thomas Hartung:
First Organoid Intelligence (OI) workshop to form an OI community. - Burla Nur Korkmaz, Roee Diamant, Gil Danino, Alberto Testolin:
Automated detection of dolphin whistles with convolutional networks and transfer learning. - Julian Tritscher, Anna Krause, Andreas Hotho:
Feature relevance XAI in anomaly detection: Reviewing approaches and challenges. - Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly:
Leveraging explanations in interactive machine learning: An overview. - James Andrew Henry:
Culture intelligent workflow, structure, and steps. - Peter Taraba:
Optimal blending of multiple independent prediction models. - Masato Miyazaki, Ken-Ichi Ishikawa, Ken'ichiro Nakashima, Hiroshi Shimizu, Taiki Takahashi, Nobuyuki Takahashi:
Application of the symbolic regression program AI-Feynman to psychology. - Zhangyong Li, Wang Chen, Yang Ju, Yong Chen, Zhengjun Hou, Xinwei Li, Yuhao Jiang:
Bone age assessment based on deep neural networks with annotation-free cascaded critical bone region extraction. - Christian Straßer, Lisa Michajlova:
Evaluating and selecting arguments in the context of higher order uncertainty. - Lucia Ferrari, Patrizio Frosini, Nicola Quercioli, Francesca Tombari:
A topological model for partial equivariance in deep learning and data analysis. - Nick Taptiklis, Merina Su, Jennifer H. Barnett, Caroline Skirrow, Jasmin Kroll, Francesca Cormack:
Prediction of mental effort derived from an automated vocal biomarker using machine learning in a large-scale remote sample. - Wilson Bakasa, Serestina Viriri:
Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting. - Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack, Christian Otto, John A. Bateman, Ralph Ewerth:
Understanding image-text relations and news values for multimodal news analysis. - Matej Ulcar, Marko Robnik-Sikonja:
Sequence-to-sequence pretraining for a less-resourced Slovenian language. - Andreas Henrici, Rudolf M. Füchslin, Peter Schwendner:
Editorial: Artificial Intelligence in Finance and Industry: volume II - highlights from the 7th European conference. - Eleonore Fournier-Tombs:
Local transplantation, adaptation, and creation of AI models for public health policy. - Martina Perani, Ralf Jandl, Stefano Baraldo, Anna Valente, Beatrice Paoli:
Long-short term memory networks for modeling track geometry in laser metal deposition. - Maria Mercedes Piñango:
Solving the elusiveness of word meanings: two arguments for a continuous meaning space for language. - Gokul Krishnan, Shiana Singh, Monika Pathania, Siddharth Gosavi, Shuchi Abhishek, Ashwin Parchani, Minakshi Dhar:
Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm. - Martin Müller, Marcel Salathé, Per Egil Kummervold:
COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter. - Marcos Cramer, Leendert van der Torre:
An argumentation semantics for rational human evaluation of arguments. - João Marques-Silva, Alexey Ignatiev:
No silver bullet: interpretable ML models must be explained. - Syed Taimoor Hussain Shah, Syed Adil Hussain Shah, Shahzad Ahmad Qureshi, Angelo di Terlizzi, Marco Agostino Deriu:
Automated facial characterization and image retrieval by convolutional neural networks. - Daniel Cook, Matthew Biancalana, Nicole Liadis, Dorys Lopez Ramos, Yuhan Zhang, Snehal Patel, Joseph R. Peterson, John R. Pfeiffer, John A. Cole, Anuja K. Antony:
Next generation immuno-oncology tumor profiling using a rapid, non-invasive, computational biophysics biomarker in early-stage breast cancer. - Xinyue Quan, Xiang Xie, Yang Liu:
Sentiment interpretability analysis on Chinese texts employing multi-task and knowledge base. - Martha Rebeca Canales-Fiscal, José Gerardo Tamez-Peña:
Hybrid morphological-convolutional neural networks for computer-aided diagnosis. - Peter Kaomea:
An intelligence coordination system toward creating the super-intelligent law firm. - Addisu Jember Zeleke, Pierpaolo Palumbo, Paolo Tubertini, Rossella Miglio, Lorenzo Chiari:
Machine learning-based prediction of hospital prolonged length of stay admission at emergency department: a Gradient Boosting algorithm analysis. - Uta Wilkens, Daniel Lupp, Valentin Langholf:
Configurations of human-centered AI at work: seven actor-structure engagements in organizations. - Giovanni Spitale, Gerold Schneider, Federico Germani, Nikola Biller-Andorno:
Exploring the role of AI in classifying, analyzing, and generating case reports on assisted suicide cases: feasibility and ethical implications. - Justyna A. Robinson, Roberta Piazza, Rodney Jones:
Editorial: Unhealthy language: linguistic investigations of COVID-19 discourse. - Hamdy Mubarak, Samir Abdaljalil, Azza Nassar, Firoj Alam:
Detecting and identifying the reasons for deleted tweets before they are posted. - Ryota Okumura, Tadahiro Taniguchi, Yoshinobu Hagiwara, Akira Taniguchi:
Metropolis-Hastings algorithm in joint-attention naming game: experimental semiotics study. - Hsio-Yi Lin, Bin-Wei Hsu:
Application of hybrid fuzzy interval-based machine learning models on financial time series - A case study of Taiwan biotech index during the epidemic period. - Robert Grout, Rishab Gupta, Ruby Bryant, Mawada A. Elmahgoub, Yijie Li, Khushbakht Irfanullah, Rahul F. Patel, Jake Fawkes, Catherine Inness:
Predicting disease onset from electronic health records for population health management: a scalable and explainable Deep Learning approach. - Selmer Bringsjord, Michael Giancola, Naveen Sundar Govindarajulu, John Slowik, James T. Oswald, Paul Bello, Micah Clark:
Argument-based inductive logics, with coverage of compromised perception. - Jannis Blüml, Johannes Czech, Kristian Kersting:
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong. - Manfred Jaeger:
Learning and reasoning with graph data. - Timo T. Stomberg, Johannes Leonhardt, Immanuel Weber, Ribana Roscher:
Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery. - Athanasios Mazarakis, Christian Bernhard-Skala, Martin Braun, Isabella Peters:
What is critical for human-centered AI at work? - Toward an interdisciplinary theory. - Harry Bunt, Volha Petukhova:
Semantic and pragmatic precision in conversational AI systems. - Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava:
A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement. - Michael Freunek, Matthias Niggli:
Introducing DynaPTI-constructing a dynamic patent technology indicator using text mining and machine learning. - Graziella Orrù, Andrea Piarulli, Ciro Conversano, Angelo Gemignani:
Human-like problem-solving abilities in large language models using ChatGPT. - Florence Amardeilh, Sophie Aubin, Stephan Bernard, Sonia Bravo, Robert Bossy, Catherine Faron, Franck Michel, Juliette Raphel, Catherine Roussey:
Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa. - Enes Avcu, Michael Hwang, Kevin Scott Brown, David W. Gow:
A tale of two lexica: Investigating computational pressures on word representation with neural networks. - Catherine Roussey, Christophe Guéret, Marie-Angélique Laporte:
Editorial: Knowledge graph technologies: the next Frontier of the food, agriculture, and water domains. - Lisa Hilte, Ilia Markov, Nikola Ljubesic, Darja Fiser, Walter Daelemans:
Who are the haters? A corpus-based demographic analysis of authors of hate speech. - Aisha Siam, Abdel Rahman Alsaify, Bushra Mohammad, Md. Rafiul Biswas, Hazrat Ali, Zubair Shah:
Multimodal deep learning for liver cancer applications: a scoping review. - Voula Giouli:
A model for representing the semantics of MWEs: From lexical semantics to the semantic annotation of complex predicates. - Birgitta Dresp-Langley:
The weaponization of artificial intelligence: What the public needs to be aware of. - José Lezama, Gil Alterovitz, Colleen E. Jakey, Ana L. Kraus, Michael J. Kim, Andrew A. Borkowski:
Predicting ward transfer mortality with machine learning. - Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski:
Modeling needs user modeling. - Giulio Biondi, Stefano Cagnoni, Roberto Capobianco, Valentina Franzoni, Francesca A. Lisi, Alfredo Milani, Jordi Vallverdú:
Editorial: Ethical design of artificial intelligence-based systems for decision making. - Tian Xu, Qin Xu, Jianyong Li:
Toward the appropriate interpretation of Alphafold2. - Karl Deutscher, Thomas Hillen, Jay Newby:
A computational model for the cancer field effect. - Mirko Farina, Andrea Lavazza:
ChatGPT in society: emerging issues. - Jacob Hornik, Matti Rachamim, Sergei Graguer:
Fog computing: a platform for big-data marketing analytics. - Antonino Rotolo, Giovanni Sartor:
Argumentation and explanation in the law. - Xuewei Wang, Jennifer Blesh, Preeti Rao, Ambica Paliwal, Maanya Umashaanker, Meha Jain:
Mapping cover crop species in southeastern Michigan using Sentinel-2 satellite data and Google Earth Engine. - Sruti Mallik, Ahana Gangopadhyay:
Proactive and reactive engagement of artificial intelligence methods for education: a review. - Zhe He, Rui Zhang, Gayo Diallo, Zhengxing Huang, Benjamin S. Glicksberg:
Editorial: Explainable artificial intelligence for critical healthcare applications. - Jörg Osterrieder:
Share buybacks: a theoretical exploration of genetic algorithms and mathematical optionality. - Nataliya Tkachenko:
Opportunities for synthetic data in nature and climate finance. - Snigdha Dubey, Gaurav Tiwari, Sneha Singh, Saveli Goldberg, Eugene Pinsky:
Using machine learning for healthcare treatment planning. - Róisín Loughran, Huma Shah, Johanna Monti, Maayan Zhitomirsky-Geffet:
Editorial: Women in language and computation 2022. - Jessica Baweja, Corey K. Fallon, Brett A. Jefferson:
Corrigendum: Opportunities for human factors in machine learning. - Ijaz Ahmad, Alessia Amelio, Arcangelo Merla, Francesca Scozzari:
A survey on the role of artificial intelligence in managing Long COVID. - Sean H. Merritt, Kevin Gaffuri, Paul J. Zak:
Accurately predicting hit songs using neurophysiology and machine learning. - Holger Englisch, Thomas Krabichler, Konrad J. Müller, Marc Schwarz:
Deep treasury management for banks. - Stefano Faraoni:
Persuasive Technology and computational manipulation: hypernudging out of mental self-determination. - Yuandi Wu, S. Andrew Gadsden:
Machine learning algorithms in microbial classification: a comparative analysis. - Shahab Saquib Sohail, Dag Øivind Madsen, Yassine Himeur, Maheen Ashraf:
Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence. - Isabel Pedersen:
The rise of generative AI and enculturating AI writing in postsecondary education. - Federico Castagna, Alexandra E. Garton, Peter McBurney, Simon Parsons, Isabel Sassoon, Elizabeth I. Sklar:
EQRbot: A chatbot delivering EQR argument-based explanations. - Tomer Libal:
Legal linguistic templates and the tension between legal knowledge representation and reasoning. - Antonis Bikakis, Giorgos Flouris, Theodore Patkos, Dimitris Plexousakis:
Sketching the vision of the Web of Debates. - Marc Joiret, Marine Leclercq, Gaspard Lambrechts, Francesca Rapino, Pierre Close, Gilles Louppe, Liesbet Geris:
Cracking the genetic code with neural networks. - Thomas Hartung, Jun Deng, Raghvendra Mall, Alejandro F. Frangi, Frank Emmert-Streib, Tuan D. Pham:
Editorial: Insights in AI: Medicine and public health 2022. - Sule Tekkesinoglu, Sara Pudas:
Explaining graph convolutional network predictions for clinicians - An explainable AI approach to Alzheimer's disease classification. - Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi:
A review of data abstraction. - Max Olan Smith, Thomas W. Anthony, Michael P. Wellman:
Learning to play against any mixture of opponents. - Tadashi Nomoto:
Does splitting make sentence easier? - Dror Cohen, Ido Rosenberger, Moshe Butman, Kfir Bar:
Masking important information to assess the robustness of a multimodal classifier for emotion recognition. - Rishabh Upadhyay, Petr Knoth, Gabriella Pasi, Marco Viviani:
Explainable online health information truthfulness in Consumer Health Search. - Alexander Mehler, Andy Lücking, Tiansi Dong:
Editorial: Multimodal communication and multimodal computing. - Simon Schreibelmayr, Laura Moradbakhti, Martina Mara:
First impressions of a financial AI assistant: differences between high trust and low trust users. - Liana Ermakova, Valery D. Solovyev, Grigori Sidorov, Alexander F. Gelbukh:
Editorial: Text complexity and simplification. - Vera Hagemann, Michèle Rieth, Amrita Suresh, Frank Kirchner:
Human-AI teams - Challenges for a team-centered AI at work. - Borui Chen, Jing Jin, Haichao Liu, Zhengyu Yang, Haoming Zhu, Yu Wang, Jianping Lin, Shizhong Wang, Shaoqing Chen:
Trends and hotspots in research on medical images with deep learning: a bibliometric analysis from 2013 to 2023. - Zhuoyang Liu, Feng Xu:
Interpretable neural networks: principles and applications. - Sophie Berretta, Alina Tausch, Greta Ontrup, Björn Gilles, Corinna Peifer, Annette Kluge:
Defining human-AI teaming the human-centered way: a scoping review and network analysis. - Gabriele Mazzini, Filippo Bagni:
Considerations on the regulation of AI systems in the financial sector by the AI Act. - Massimiliano Grassi, Silvia Daccò, Daniela Caldirola, Giampaolo Perna, Koen Schruers, Archie Defillo:
Enhanced sleep staging with artificial intelligence: a validation study of new software for sleep scoring. - Yehoshua Socol, Ariella Richardson, Imene Garali-Zineddine, Stephane Grison, Guillaume Vares, Dmitry Klokov:
Artificial intelligence in biology and medicine, and radioprotection research: perspectives from Jerusalem. - Arjun Pakrashi, Duncan Wallace, Brian Mac Namee, Derek Greene, Christophe Guéret:
CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring. - Kairit Tammets, Tobias Ley:
Integrating AI tools in teacher professional learning: a conceptual model and illustrative case. - Lorella Viola:
On the use of sentiment analysis for linguistics research. Observations on sentiment polarity and the use of the progressive in Italian. - Simeon Schüz, Albert Gatt, Sina Zarrieß:
Rethinking symbolic and visual context in Referring Expression Generation. - Jessica Baweja, Corey K. Fallon, Brett A. Jefferson:
Opportunities for human factors in machine learning. - Anna-Stiina Wallinheimo, Simon L. Evans, Elena Davitti:
Training in new forms of human-AI interaction improves complex working memory and switching skills of language professionals. - Tuan D. Pham, Simon B. Holmes, Paul Coulthard:
A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging. - Chiranjib Chakraborty, Soumen Pal, Manojit Bhattacharya, Snehasish Dash, Sang-Soo Lee:
Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science. - Stephan Raaijmakers, Anita H. M. Cremers, Emiel Krahmer, Matthijs Westera:
Editorial: Conversational AI. - Abdullah Al Zubaer, Michael Granitzer, Jelena Mitrovic:
Performance analysis of large language models in the domain of legal argument mining. - Karim Karimov, Michael Kirby, Chris Peterson:
An algorithm for computing Schubert varieties of best fit with applications. - Seiya Nakata, Masanori Takezawa:
Hierarchical structures emerge from the cultural transmission: an iterated learning experiment using a non-linguistic task. - Yan Zhou, Kenji Suzuki, Shiro Kumano:
State-Aware Deep Item Response Theory using student facial features. - Liuying Li, Min Huang, Ling Dao, Xixi Feng, Yifeng Liu, Changyou Wei, Fangfang Liu, Jing Zhang, Fan Xu:
Construction and validation of a method for automated time label segmentation of heart sounds. - Nitasha Khan, Muhammad Amir Raza, Nayyar Hussain Mirjat, Neelam Balouch, Ghulam Abbas, Amr H. Yousef, Ezzeddine Touti:
Unveiling the predictive power: a comprehensive study of machine learning model for anticipating chronic kidney disease. - Emmanuel Chimbunde, Lovemore N. Sigwadhi, Jacques L. Tamuzi, Elphas L. Okango, Olawande J. Daramola, Veranyuy D. Ngah, Peter S. Nyasulu:
Machine learning algorithms for predicting determinants of COVID-19 mortality in South Africa. - Christine Lock, Nicole Si Min Tan, Ian James Long, Nicole C. Keong:
Neuroimaging data repositories and AI-driven healthcare - Global aspirations vs. ethical considerations in machine learning models of neurological disease. - Mindaugas Kiskis:
Legal framework for the coexistence of humans and conscious AI. - Dilini Samarasinghe:
Counterfactual learning in enhancing resilience in autonomous agent systems. - Chung-Chian Hsu, Rasoul Ameri, Chih-Wen Lin, Jia-Shiang He, Meghdad Biyari, Atefeh Yarahmadi, Shahab S. Band, Tin-Kwang Lin, Wen-Lin Fan:
A robust approach for endotracheal tube localization in chest radiographs. - Mireille Fares, Catherine Pelachaud, Nicolas Obin:
Zero-shot style transfer for gesture animation driven by text and speech using adversarial disentanglement of multimodal style encoding. - Enrico Mensa, Paloma Martínez Fernández, Roland Roller, Daniele Paolo Radicioni:
Editorial: Information extraction for health documents. - Aarón Ayllón-Benítez, José Antonio Bernabé-Díaz, Paola Espinoza-Arias, Iker Esnaola-Gonzalez, Delphine S. A. Beeckman, Bonnie McCaig, Kristin Hanzlik, Toon Cools, Carlos Castro Iragorri, Nicolás Palacios:
EPPO ontology: a semantic-driven approach for plant and pest codes representation. - Emmanuel Oluwatobi Asani, Yomi Phineas Osadeyi, Adekanmi Adeyinka Adegun, Serestina Viriri, Joyce Ayoola, Ebenezer Ayorinde Kolawole:
mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world. - Darío Fernando Yépez-Ponce, José Vicente Salcedo, Paul D. Rosero-Montalvo, Javier Sanchis:
Mobile robotics in smart farming: current trends and applications. - Cristine Griffo, Lauro César Araújo, Samuel Meira Brasil, Mamede-Lima Marques, Giancarlo Guizzardi, João Paulo A. Almeida:
Modeling the dynamics of contractual relations. - Beibei Huang, Lon W. R. Fong, Rajan Chaudhari, Shuxing Zhang:
Development and evaluation of a java-based deep neural network method for drug response predictions. - Jaromír Savelka, Kevin D. Ashley:
The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts. - Athira Nambiar, Harikrishnaa S, Sharanprasath S:
Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data. - Peer Nagy, Jan-Peter Calliess, Stefan Zohren:
Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets. - Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal, Hinrich Schütze:
Explaining pretrained language models' understanding of linguistic structures using construction grammar. - Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao:
Statistical inference for dependence networks in topological data analysis. - Vishnu Pannipulath Venugopal, Lakshmi Babu Saheer, Mahdi Maktabdar Oghaz:
COVID-19 lateral flow test image classification using deep CNN and StyleGAN2. - Ramadhani Saidi Sinde, Salim Diwani, Judith Leo, Tabu S. Kondo, Noe Elisa, Jabhera Matogoro:
AI for Anglophone Africa: Unlocking its adoption for responsible solutions in academia-private sector. - Hung-Ching Chang, Antony M. Gitau, Siri Kothapalli, Danny R. Welch, Mihaela E. Sardiu, Matthew D. McCoy:
Understanding the need for digital twins' data in patient advocacy and forecasting oncology. - Kang Wang, Shi Cao, Jasleen Kaur, Moojan Ghafurian, Zahid A. Butt, Plinio P. Morita:
Heart rate prediction with contactless active assisted living technology: a smart home approach for older adults. - Miguel Caçador Peixoto, Nuno Filipe Castro, Miguel Crispim Romão, Maria Gabriela Jordão Oliveira, Inês Ochoa:
Fitting a collider in a quantum computer: tackling the challenges of quantum machine learning for big datasets. - L. J. Muhammad, Alessandro Bria:
Editorial: AI applications for diagnosis of breast cancer. - Carrie S. Alexander, Aaron Smith, Renata Ivanek:
Safer not to know? Shaping liability law and policy to incentivize adoption of predictive AI technologies in the food system. - Tiago de Oliveira Barreto, Nícolas Vinícius Rodrigues Veras, Pablo Holanda Cardoso, Felipe Ricardo dos Santos Fernandes, Luiz Paulo de Souza Medeiros, Maria Valéria Bezerra, Filomena Marques Queiroz de Andrade, Chander de Oliveira Pinheiro, Ignacio Sánchez-Gendriz, Gleyson José Pinheiro Caldeira Silva, Leandro Farias Rodrigues, Antonio Higor Freire de Morais, João Paulo Queiroz dos Santos, Jailton Carlos Paiva, Íon Garcia Mascarenhas de Andrade, Ricardo Alexsandro de Medeiros Valentim:
Artificial intelligence applied to analyzes during the pandemic: COVID-19 beds occupancy in the state of Rio Grande do Norte, Brazil. - Raya Alshammri, Ghaida Alharbi, Ebtisam Alharbi, Ibrahim Almubark:
Machine learning approaches to identify Parkinson's disease using voice signal features. - Franziska Bocklisch, Norbert Huchler:
Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing. - Michele Cafagna, Lina Maria Rojas-Barahona, Kees van Deemter, Albert Gatt:
Interpreting vision and language generative models with semantic visual priors. - Thomas Hellström:
AI and its consequences for the written word. - Marko Orescanin, Leslie N. Smith, Saurabh Sahu, Palash Goyal, Sujit Rokka Chhetri:
Editorial: Deep learning with limited labeled data for vision, audio, and text. - Anne E. Thessen, Laurel Cooper, Tyson L. Swetnam, Harshad Hegde, Justin T. Reese, Justin Elser, Pankaj Jaiswal:
Using knowledge graphs to infer gene expression in plants. - Jonathan Omara, Estefanía Talavera, Daniel Otim, Dan Turcza, Emmanuel Ofumbi, Godliver Owomugisha:
A field-based recommender system for crop disease detection using machine learning. - Giorgio Buttazzo:
Rise of artificial general intelligence: risks and opportunities. - Ali Zolnour, Christina E. Eldredge, Anthony Faiola, Yadollah Yaghoobzadeh, Masoud Khani, Doreen Foy, Maxim Topaz, Hadi Kharrazi, Kin Wah Fung, Paul A. Fontelo, Anahita Davoudi, Azade Tabaie, Scott A. Breitinger, Tyler S. Oesterle, Masoud Rouhizadeh, Zahra Zonnor, Hans Moen, Timothy B. Patrick, Maryam Zolnoori:
A risk identification model for detection of patients at risk of antidepressant discontinuation. - David De Cremer, Devesh Narayanan:
How AI tools can - and cannot - help organizations become more ethical. - Yilin Feng:
Enhancing e-commerce recommendation systems through approach of buyer's self-construal: necessity, theoretical ground, synthesis of a six-step model, and research agenda. - James C. L. Chow, Leslie Sanders, Kay Li:
Impact of ChatGPT on medical chatbots as a disruptive technology. - Tirth Dave, Sai Anirudh Athaluri, Satyam Singh:
ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations. - Vishruth M. Nagam:
Diagnostic medical artificial intelligence: Futuristic prospects for implementation in healthcare settings. - Anouschka van Leeuwen, Sebastian Strauß, Nikol Rummel:
Participatory design of teacher dashboards: navigating the tension between teacher input and theories on teacher professional vision. - Emanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni:
Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers. - Faiza Farhat, Emmanuel Sirimal Silva, Hossein Hassani, Dag Øivind Madsen, Shahab Saquib Sohail, Yassine Himeur, M. Afshar Alam, Aasim Zafar:
The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase. - Patrice Buche, Julien Couteaux, Julien Cufi, Sébastien Destercke, Alrick Oudot:
Integrating collective know-how for multicriteria decision support in agrifood chains - application to cheesemaking. - Ali Fenwick, Gábor Molnár, Piper Frangos:
Revisiting the role of HR in the age of AI: bringing humans and machines closer together in the workplace. - Sunil Kumar Prabhakar, Dong-Ok Won:
Performance comparison of bio-inspired and learning-based clustering analysis with machine learning techniques for classification of EEG signals. - Johanna Fleckenstein, Lucas W. Liebenow, Jennifer Meyer:
Automated feedback and writing: a multi-level meta-analysis of effects on students' performance. - Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox:
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. - Aleksandr Sidorenko, William Motsch, Michael van Bekkum, Nikolaos Nikolakis, Kosmas Alexopoulos, Achim Wagner:
The MAS4AI framework for human-centered agile and smart manufacturing. - Alexander E. Krosney, Parsa Sotoodeh, Christopher J. Henry, Michael A. Beck, Christopher P. Bidinosti:
Inside out: transforming images of lab-grown plants for machine learning applications in agriculture. - Malihe Alikhani, Baber Khalid, Matthew Stone:
Image-text coherence and its implications for multimodal AI. - Jun Inukai, Tadahiro Taniguchi, Akira Taniguchi, Yoshinobu Hagiwara:
Recursive Metropolis-Hastings naming game: symbol emergence in a multi-agent system based on probabilistic generative models. - Jigar Adhiya, Behrad Barghi, Nasibeh Azadeh-Fard:
Predicting the risk of hospital readmissions using a machine learning approach: a case study on patients undergoing skin procedures. - Benjamin Sattelberg, Renzo Cavalieri, Michael Kirby, Chris Peterson, J. Ross Beveridge:
Locally linear attributes of ReLU neural networks. - Yana Samuel, Margaret Brennan-Tonetta, Jim Samuel, Rajiv Kashyap, Vivek Kumar, Sri Krishna Kaashyap, Nishitha Chidipothu, Irawati Anand, Parth Jain:
Cultivation of human centered artificial intelligence: culturally adaptive thinking in education (CATE) for AI. - Mark Du:
Machine vs. human, who makes a better judgment on innovation? Take GPT-4 for example. - Soumaya Ben Salem, Samar Zahra Ali, Anyik John Leo, Zied Lachiri, Martin Mkandawire:
Early breast cancer detection and differentiation tool based on tissue impedance characteristics and machine learning. - Sahand Somi, Sheikh Jubair, David Cooper, Peng Wang:
XGSleeve: detecting sleeve incidents in well completion by using XGBoost classifier. - Baptiste Imbert, Jonathan Kreplak, Raphaël-Gauthier Flores, Grégoire Aubert, Judith Burstin, Nadim Tayeh:
Development of a knowledge graph framework to ease and empower translational approaches in plant research: a use-case on grain legumes. - Jacques Bughin:
Does artificial intelligence kill employment growth: the missing link of corporate AI posture. - Tedi Rustandi, Erna Prihandiwati, Fatah Nugroho, Fakhriah Hayati, Nita Afriani, Riza Alfian, Noor Aisyah, Rakhmadhan Niah, Aulia Rahim, Hasbi As-Shiddiq:
Application of artificial intelligence in the development of Jamu "traditional Indonesian medicine" as a more effective drug. - Sakib Mostafa, Debajyoti Mondal, Karim Panjvani, Leon Kochian, Ian Stavness:
Explainable deep learning in plant phenotyping. - Emmanuel Oluwatobi Asani, Yomi Phineas Osadeyi, Adekanmi Adeyinka Adegun, Serestina Viriri, Joyce Ayoola, Ebenezer Ayorinde Kolawole:
Corrigendum: mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world. - Zhiyu Peng, Ruiqi Ma, Yihan Zhang, Mingxu Yan, Jie Lu, Qian Cheng, Jingjing Liao, Yunqiu Zhang, Jinghan Wang, Yue Zhao, Jiang Zhu, Bing Qin, Qin Jiang, Fei Shi, Jiang Qian, Xinjian Chen, Chen Zhao:
Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study. - Klaus M. Stiefel, Jay S. Coggan:
The energy challenges of artificial superintelligence. - Johannes Krefting, Partho Sen, Diana David-Rus, Ulrich Güldener, Johann S. Hawe, Salvatore Cassese, Moritz von Scheidt, Heribert Schunkert:
Use of big data from health insurance for assessment of cardiovascular outcomes. - Rodney H. Jones:
Commentary: How to have agency in a pandemic. - Huanyu Li, Peng Zhang, Zikun Wei, Tian Qian, Yiqi Tang, Kun Hu, Xianqiong Huang, Xinxin Xia, Yishuang Zhang, Haixing Cheng, Fubing Yu, Wenjia Zhang, Kena Dan, Xuan Liu, Shujun Ye, Guangqiao He, Xia Jiang, Liwei Liu, Yukun Fan, Tingting Song, Guomin Zhou, Ziyi Wang, Daojun Zhang, Junwei Lv:
Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text. - Rafat Y. Alwazna:
The use of automation in the rendition of certain articles of the Saudi Commercial Law into English: a post-editing-based comparison of five machine translation systems. - Y-h. Taguchi, Turki Turki:
Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction. - Taofeeq Oluwatosin Togunwa, Abdulhammed Opeyemi Babatunde, Khalil-ur-Rahman Abdullah:
Deep hybrid model for maternal health risk classification in pregnancy: synergy of ANN and random forest. - Salah Eddine Bouhouita-Guermech, Patrick Gogognon, Jean-Christophe Bélisle-Pipon:
Specific challenges posed by artificial intelligence in research ethics. - Paola Giorgis, Olena Semenets, Bilyana Todorova:
"We are at war": The military rhetoric of COVID-19 in cross-cultural perspective of discourses. - Alec B. Chapman, Kristina Cordasco, Stephanie Chassman, Talia Panadero, Dylan Agans, Nicholas Jackson, Kimberly Clair, Richard Nelson, Ann Elizabeth Montgomery, Jack Tsai, Erin Finley, Sonya Gabrielian:
Assessing longitudinal housing status using Electronic Health Record data: a comparison of natural language processing, structured data, and patient-reported history. - Song Zhai, Zhiwei Zhang, Jiayu Liao, Xinping Cui:
Learning from real world data about combinatorial treatment selection for COVID-19. - Athanasios Polyportis:
A longitudinal study on artificial intelligence adoption: understanding the drivers of ChatGPT usage behavior change in higher education. - Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Feras A. Batarseh:
Rationalization for explainable NLP: a survey. - Stephen L. Dorton, Lauren M. Ministero, Balca Alaybek, Douglas J. Bryant:
Foresight for ethical AI. - Siwen Yan, Phillip Odom, Rahul Pasunuri, Kristian Kersting, Sriraam Natarajan:
Learning with privileged and sensitive information: a gradient-boosting approach. - Nilesh Kumar Sharma, Sachin Sarode:
Artificial intelligence vs. evolving super-complex tumor intelligence: critical viewpoints. - Mohammed Tahri Sqalli, Begali Aslonov, Mukhammadjon Gafurov, Shokhrukhbek Nurmatov:
Humanizing AI in medical training: ethical framework for responsible design. - Jie Yang, Alessandro Bozzon, Ujwal Gadiraju, Matthew Lease:
Editorial: Human-centered AI: Crowd computing. - Ala'a Alslaity, Gerry Chan, Rita Orji:
A panoramic view of personalization based on individual differences in persuasive and behavior change interventions. - Carlos Alberto Minchón-Medina, Daphne Jannet Timaná-Palacios, Aldo Alvarez-Risco, Shyla Del-Aguila-Arcentales, Jaime A. Yáñez:
Factors associated with citations of articles on circular economy in the Web of Science: modeling for main publishers. - Damion M. Dooley, Tarini Naravane:
Ontological how and why: action and objective of planned processes in the food domain. - Thomas Hartung, Itzy E. Morales Pantoja, Lena Smirnova:
Brain organoids and organoid intelligence from ethical, legal, and social points of view. - Tshepang Duncan Morapedi, Ibidun Christiana Obagbuwa:
Air pollution particulate matter (PM2.5) prediction in South African cities using machine learning techniques. - Arkaitz Zubiaga:
Natural language processing in the era of large language models. - Sulaiman Khan, Hazrat Ali, Zubair Shah:
Identifying the role of vision transformer for skin cancer - A scoping review. - Claudio Greco, Diksha Bagade, Dieu-Thu Le, Raffaella Bernardi:
She adapts to her student: An expert pragmatic speaker tailoring her referring expressions to the Layman listener. - Magdalena Repp, Petra B. Schumacher:
What naturalistic stimuli tell us about pronoun resolution in real-time processing. - Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan:
Active feature elicitation: An unified framework. - Thomas Krabichler, Josef Teichmann:
A case study for unlocking the potential of deep learning in asset-liability-management. - Charles Radclyffe, Mafalda Ribeiro, Robert H. Wortham:
The assessment list for trustworthy artificial intelligence: A review and recommendations. - Tamishka Brass, Johnpaul Kennedy, Florence Gabriel, Bec Neill, Deborah Devis, Simon N. Leonard:
Learning analytics for lifelong career development: a framework to support sustainable formative assessment and self-reflection in programs developing career self-efficacy. - Paola Lecca, Michela Lecca:
Graph embedding and geometric deep learning relevance to network biology and structural chemistry. - Areej Alhhazmi, Ahmad Alferidi, Yahya A. Almutawif, Hatim Makhdoom, Hibah M. Albasri, Ben Slama Sami:
Artificial intelligence in healthcare: combining deep learning and Bayesian optimization to forecast COVID-19 confirmed cases. - Abdul Sittar, Dunja Mladenic, Marko Grobelnik:
Profiling the barriers to the spreading of news using news headlines. - Katharina Buschmeyer, Sarah Hatfield, Julie Zenner:
Psychological assessment of AI-based decision support systems: tool development and expected benefits. - Marjorie Armando, Magalie Ochs, Isabelle Régner:
Corrigendum: The impact of pedagogical agents' gender on academic learning: a systematic review. - Aariz Hussain, Areeba Fareed, Shafaq Taseen:
Bone fracture detection - Can artificial intelligence replace doctors in orthopedic radiography analysis? - Sasuke Fujimoto, Kazuhiro Takemoto:
Revisiting the political biases of ChatGPT. - Giacomo Zamprogno, Emmanuelle Dietz, Linda Heimisch, Nele Russwinkel:
A hybrid computational approach to anticipate individuals in sequential problem solving. - David Beauchemin, Horacio Saggion, Richard Khoury:
MeaningBERT: assessing meaning preservation between sentences. - Faiza Farhat, Shahab Saquib Sohail, Mohammed Talha Alam, Syed Ubaid, Shakil, Mohd Ashhad, Dag Øivind Madsen:
COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control. - Brett N. Hryciw, Andrew J. E. Seely, Kwadwo Kyeremanteng:
Guiding principles and proposed classification system for the responsible adoption of artificial intelligence in scientific writing in medicine. - Kai North, Marcos Zampieri:
Features of lexical complexity: insights from L1 and L2 speakers. - Ibidun Christiana Obagbuwa, Samantha Danster, Onil Colin Chibaya:
Supervised machine learning models for depression sentiment analysis. - Prathamesh Karmalkar, Harsha Gurulingappa, Erica Spies, Jennifer Flynn:
Artificial intelligence-driven approach for patient-focused drug development. - Baptiste Darnala, Florence Amardeilh, Catherine Roussey, Konstantin Todorov, Clément Jonquet:
C3PO: a crop planning and production process ontology and knowledge graph. - Ian Stavness, Mario Valerio Giuffrida, Hanno Scharr:
Editorial: Computer vision in plant phenotyping and agriculture. - Carlos Agostinho, Zoumpolia Dikopoulou, Eleni Lavasa, Konstantinos Perakis, Stamatis Pitsios, Rui Branco, Sangeetha Reji, Jonas Hetterich, Evmorfia Biliri, Fenareti Lampathaki, Silvia Rodríguez Del Rey, Vasileios Gkolemis:
Explainability as the key ingredient for AI adoption in Industry 5.0 settings. - Justyna A. Robinson, Rhys J. Sandow, Roberta Piazza:
Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diaries. - Alessio Guerra, Oktay Karakus:
Sentiment analysis for measuring hope and fear from Reddit posts during the 2022 Russo-Ukrainian conflict. - Obi Peter Adigwe, Godspower Onavbavba, Saheed Ekundayo Sanyaolu:
Exploring the matrix: knowledge, perceptions and prospects of artificial intelligence and machine learning in Nigerian healthcare. - Thomas Hartung:
Artificial intelligence as the new frontier in chemical risk assessment. - Hendrik Blockeel, Laurens Devos, Benoît Frénay, Géraldin Nanfack, Siegfried Nijssen:
Decision trees: from efficient prediction to responsible AI.
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