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Frontiers 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.