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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.