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ORCIDFrontiers in Artificial Intelligence, Volume 5
Volume 5, 2022
- John P. McCrae, Theodorus Fransen
, Sina Ahmadi, Paul Buitelaar, Koustava Goswami:
Toward an Integrative Approach for Making Sense Distinctions. 745626 - Mathieu Guillermin, Olivier L. Georgeon:
Artificial Interactionism: Avoiding Isolating Perception From Cognition in AI. 806041 - Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu:
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark. 824655 - Jaana Leikas, Aditya Johri, Marko Latvanen, Nina Wessberg, Antti Hahto:
Governing Ethical AI Transformation: A Case Study of AuroraAI. 836557 - Alessio Staffini:
Stock Price Forecasting by a Deep Convolutional Generative Adversarial Network. 837596 - Faramarz Faghihi, Hany Alashwal, Ahmed A. Moustafa:
A Synaptic Pruning-Based Spiking Neural Network for Hand-Written Digits Classification. 680165 - Arthur M. Jacobs, Annette Kinder:
Computational Models of Readers' Apperceptive Mass. 718690 - Jiahao Su, Jingling Li, Xiaoyu Liu, Teresa M. Ranadive, Christopher J. Coley, Tai-Ching Tuan, Furong Huang:
Compact Neural Architecture Designs by Tensor Representations. 728761 - Jinbiao Yang, Antal van den Bosch, Stefan L. Frank:
Unsupervised Text Segmentation Predicts Eye Fixations During Reading. 731615 - Junya Morita, Thanakit Pitakchokchai, Giri Basanta Raj, Yusuke Yamamoto, Hiroyasu Yuhashi, Teppei Koguchi:
Regulating Ruminative Web Browsing Based on the Counterbalance Modeling Approach. 741610 - Jessica Williams, Stephen M. Fiore, Florian Jentsch:
Supporting Artificial Social Intelligence With Theory of Mind. 750763 - Joseph H. R. Isaac, Manivannan Muniyandi, Balaraman Ravindran:
Single Shot Corrective CNN for Anatomically Correct 3D Hand Pose Estimation. 759255 - Eric Wehrli:
Collocations in Parsing and Translation. 765695 - Byung-Doh Oh, Christian Clark, William Schuler:
Comparison of Structural Parsers and Neural Language Models as Surprisal Estimators. 777963 - Sebastian Fritz-Morgenthal, Bernhard Hein, Jochen Papenbrock:
Financial Risk Management and Explainable, Trustworthy, Responsible AI. 779799 - Zaniar Ardalan, Vignesh Subbian:
Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review. 780405 - Pablo Contreras Kallens, Morten H. Christiansen:
Models of Language and Multiword Expressions. 781962 - Shoji Kido, Shunske Kidera, Yasushi Hirano, Shingo Mabu, Tohru Kamiya, Nobuyuki Tanaka, Yuki Suzuki, Yanagawa Masahiro, Noriyuki Tomiyama:
Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. 782225 - Francesco Conti, Patrizio Frosini, Nicola Quercioli:
On the Construction of Group Equivariant Non-Expansive Operators via Permutants and Symmetric Functions. 786091 - Melina Vladisauskas, Laouen Belloli, Diego Fernández Slezak, Andrea Paula Goldin:
A Machine Learning Approach to Personalize Computerized Cognitive Training Interventions. 788605 - Andrea Bruera, Massimo Poesio:
Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics. 796793 - Vsevolod Kapatsinski:
Morphology in a Parallel, Distributed, Interactive Architecture of Language Production. 803259 - Kamil Akhuseyinoglu, Peter Brusilovsky:
Exploring Behavioral Patterns for Data-Driven Modeling of Learners' Individual Differences. 807320 - Guang Yang:
An Overview of Current Solutions for Privacy in the Internet of Things. 812732 - Karen E. Batch, Jianwei Yue, Alex Darcovich, Kaelan Lupton, Corinne C. Liu, David P. Woodlock, Mohammad Ali K. El Amine, Pamela I. Causa-Andrieu, Lior Gazit, Gary H. Nguyen, Farhana H. Zulkernine, Richard K. G. Do, Amber L. Simpson:
Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports. 826402 - Pranshu Chaturvedi, Asad Khan, Minyang Tian, Eliu A. Huerta, Huihuo Zheng:
Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale. 828672 - Samuel Nii Odoi Devine, Emmanuel Awuni Kolog, Roger Atinga:
Toward a Knowledge-Based System for African Traditional Herbal Medicine: A Design Science Research Approach. 856705 - Aleksandra Klasnja-Milicevic, Mirjana Ivanovic, Boban Vesin, Maya Satratzemi, Barbara Wasson:
Editorial: Learning Analytics - Trends and Challenges. 856807 - Ramin Homayouni, Huixiao Hong, Prashanti Manda, Bindu Nanduri, Inimary T. Toby:
Editorial: Unleashing Innovation on Precision Public Health-Highlights From the MCBIOS and MAQC 2021 Joint Conference. 859700 - Yuanda Zhu, Janani Venugopalan, Zhenyu Zhang, Nikhil Chanani, Kevin O. Maher, May D. Wang:
Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit. 640926 - Nathan Cornille, Katrien Laenen, Marie-Francine Moens:
Critical Analysis of Deconfounded Pretraining to Improve Visio-Linguistic Models. 736791 - Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Declarative Learning-Based Programming as an Interface to AI Systems. 755361 - Christelle Langley, Bogdan-Ionut Cirstea, Fabio Cuzzolin, Barbara J. Sahakian:
Theory of Mind and Preference Learning at the Interface of Cognitive Science, Neuroscience, and AI: A Review. 778852 - Shota Yamanaka:
Utility of Crowdsourced User Experiments for Measuring the Central Tendency of User Performance: A Case of Error-Rate Model Evaluation in a Pointing Task. 798892 - Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Clemens Rietdorf, Tariq Yousef:
Beyond the Failure of Direct-Matching in Keyword Evaluation: A Sketch of a Graph Based Solution. 801564 - Pei Wang, Christian Hahm, Patrick Hammer:
A Model of Unified Perception and Cognition. 806403 - Hang Yu, Rana X. Adhikari:
Nonlinear Noise Cleaning in Gravitational-Wave Detectors With Convolutional Neural Networks. 811563 - Vasudevan Nedumpozhimana, Filip Klubicka, John D. Kelleher:
Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification. 813967 - Alexandra Uma, Dina Almanea, Massimo Poesio:
Scaling and Disagreements: Bias, Noise, and Ambiguity. 818451 - Silvan Mertes, Tobias Huber, Katharina Weitz, Alexander Heimerl, Elisabeth André:
GANterfactual - Counterfactual Explanations for Medical Non-experts Using Generative Adversarial Learning. 825565 - Alex Kearney, Johannes Günther, Patrick M. Pilarski:
Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge. 826724 - Alexander Wong, James Ren Hou Lee, Hadi Rahmat-Khah, Ali Sabri, Amer Alaref, Haiyue Liu:
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images. 827299 - Jurgita Cerneviciene, Audrius Kabasinskas:
Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence. 827584 - Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco:
Is Class-Incremental Enough for Continual Learning? 829842 - Jana Kierdorf, Immanuel Weber, Anna Kicherer, Laura Zabawa, Lukas Drees, Ribana Roscher:
Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks. 830026 - Chris Welty, Lora Aroyo, Flip Korn, Sara M. McCarthy, Shubin Zhao:
Addressing Label Sparsity With Class-Level Common Sense for Google Maps. 830299 - Lan N. Vuong, Nghia Huynh, Dat Q. Ngo, Vinh N. Nguyen, Khoa D. Duong, Nguyen N. Tran, Truyen P. Le, Nghia A. Nguyen, Thao T. P. Doan, Duy L. Pham, Tu H. K. Trinh, Quan T. T. Vu, Phong H. Nguyen, Tuan D. Tran:
A Community-Based Model of Care During the Fourth Wave of the COVID-19 Outbreak in Ho Chi Minh City, Vietnam. 831841 - Justin Lo, Adam Lim, Matthias W. Wagner, Birgit Ertl-Wagner, Dafna Sussman:
Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI. 832485 - Nina de Lacy, Michael J. Ramshaw, J. Nathan Kutz:
Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning. 832530 - Nitasha Kaul:
3Es for AI: Economics, Explanation, Epistemology. 833238 - Pieter A. Blomsma, Gabriel Skantze, Marc Swerts:
Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners. 835298 - Ghadah Alqahtani, Abdulrahman Alothaim:
Emotion Analysis of Arabic Tweets: Language Models and Available Resources. 843038 - Francesco Bossi, Francesco Di Gruttola, Antonio Mastrogiorgio, Sonia D'Arcangelo, Nicola Lattanzi, Andrea P. Malizia, Emiliano Ricciardi:
Estimating Successful Internal Mobility: A Comparison Between Structural Equation Models and Machine Learning Algorithms. 848015 - Ezequiel Alvarez, Michael Spannowsky, Manuel Szewc:
Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models. 852970 - Shahin Amiriparian, Tobias Hübner, Vincent Karas, Maurice Gerczuk, Sandra Ottl, Björn W. Schuller:
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data. 856232 - Mor Vered, Reuth Mirsky, Ramon Fraga Pereira, Felipe Meneguzzi:
Editorial: Advances in Goal, Plan and Activity Recognition. 861669 - Marcus Specht, Catharine Oertel:
Editorial: Intelligent Conversational Agents. 867834 - Luca Blum, Mohamed Elgendi, Carlo Menon:
Impact of Box-Cox Transformation on Machine-Learning Algorithms. 877569 - Nora E. Aguirre-Celis, Risto Miikkulainen:
How the Brain Dynamically Constructs Sentence-Level Meanings From Word-Level Features. 733163 - Dimitrios Serpanos, Georgios Xenos, Billy Tsouvalas:
Location and Language Independent Fake Rumor Detection Through Epidemiological and Structural Graph Analysis of Social Connections. 734347 - Gesselle B. Batucan, Gamaliel G. Gonzales, Merly G. Balbuena, Kyla Rose B. Pasaol, Darlyn N. Seno, Roselyn R. Gonzales:
An Extended UTAUT Model to Explain Factors Affecting Online Learning System Amidst COVID-19 Pandemic: The Case of a Developing Economy. 768831 - Alexander Prange, Daniel Sonntag:
Modeling Users' Cognitive Performance Using Digital Pen Features. 787179 - Mireille Hildebrandt:
The Issue of Proxies and Choice Architectures. Why EU Law Matters for Recommender Systems. 789076 - Gary Smith, Vaishak Belle, Ronald P. A. Petrick:
Intention Recognition With ProbLog. 806262 - Mario Casillo, Massimo De Santo, Rosalba Mosca, Domenico Santaniello:
An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario. 808281 - Tabea Kossen, Manuel A. Hirzel, Vince I. Madai, Franziska Boenisch, Anja Hennemuth, Kristian Hildebrand, Sebastian Pokutta, Kartikey Sharma, Adam Hilbert, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey:
Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks. 813842 - Ruben Baskaran, Karim Møller, Uffe Kock Wiil, Mikkel Brabrand:
Using Facial Landmark Detection on Thermal Images as a Novel Prognostic Tool for Emergency Departments. 815333 - Susan Windisch Brown, Julia Bonn, Ghazaleh Kazeminejad, Annie Zaenen, James Pustejovsky, Martha Palmer:
Semantic Representations for NLP Using VerbNet and the Generative Lexicon. 821697 - Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi:
Computational Modeling of Stereotype Content in Text. 826207 - Andrea Tocchetti, Lorenzo Corti, Marco Brambilla, Irene Celino:
EXP-Crowd: A Gamified Crowdsourcing Framework for Explainability. 826499 - David Elliott, Eldon Soifer:
AI Technologies, Privacy, and Security. 826737 - Alexandre Georgieff, Raphaela Hyee:
Artificial Intelligence and Employment: New Cross-Country Evidence. 832736 - Harri Oinas-Kukkonen, Sami Pohjolainen, Eunice Eno Yaa Frimponmaa Agyei:
Mitigating Issues With/of/for True Personalization. 844817 - Shadi Atalla, Saad Ali Amin, M. V. Manoj Kumar, Nanda Kumar Bidare Sastry, Wathiq Mansoor, Ananth Rao:
Autonomous Tool for Monitoring Multi-Morbidity Health Conditions in UAE and India. 865792 - Hendra Suryanto, Ashesh Mahidadia, Michael Bain, Charles Guan, Ada Guan:
Credit Risk Modeling Using Transfer Learning and Domain Adaptation. 868232 - Anja Warning, Enzo Weber, Anouk Püffel:
On the Impact of Digitalization and Artificial Intelligence on Employers' Flexibility Requirements in Occupations - Empirical Evidence for Germany. 868789 - Sakib Mostafa, Debajyoti Mondal, Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry, Ian Stavness:
Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification. 871162 - Bohua Wan, Brian Caffo, S. Swaroop Vedula:
A Unified Framework on Generalizability of Clinical Prediction Models. 872720 - Tom Kouwenhoven, Tessa Verhoef, Roy De Kleijn, Stephan Raaijmakers:
Emerging Grounded Shared Vocabularies Between Human and Machine, Inspired by Human Language Evolution. 886349 - Manoj Kumar M. V, Nanda Kumar Bidare Sastry, Immanuel Azaad Moonesar, Ananth Rao:
Predicting Universal Healthcare Through Health Financial Management for Sustainable Development in BRICS, GCC, and AUKUS Economic Blocks. 887225 - O. Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim:
Neural Network Training With Asymmetric Crosspoint Elements. 891624 - Branka Hadji Misheva, Jochen Papenbrock:
Editorial: Explainable, Trustworthy, and Responsible AI for the Financial Service Industry. 902519 - Tim Hulsen, Milan Petkovic, Orsolya Edit Varga, Saumya Shekhar Jamuar:
Editorial: AI in Healthcare: From Data to Intelligence. 909391 - Neil P. Oxtoby, Cameron Shand, David M. Cash, Daniel C. Alexander, Frederik Barkhof:
Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models. 660581 - Ophélie Lo-Thong-Viramoutou, Philippe Charton, Xavier F. Cadet, Brigitte Grondin-Perez, Emma Saavedra, Cédric Damour, Frédéric Cadet:
Non-linearity of Metabolic Pathways Critically Influences the Choice of Machine Learning Model. 744755 - Miguel Ángel Méndez Lucero, Rafael-Michael Karampatsis, Enrique Bojorquez Gallardo, Vaishak Belle:
Signal Perceptron: On the Identifiability of Boolean Function Spaces and Beyond. 770254 - Ghazaleh Kazeminejad, Martha Palmer, Susan Windisch Brown, James Pustejovsky:
Componential Analysis of English Verbs. 780385 - Suzanne Stevenson, Paola Merlo:
Beyond the Benchmarks: Toward Human-Like Lexical Representations. 796741 - Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson:
Domain Generalization for Language-Independent Automatic Speech Recognition. 806274 - Federica Lucia Vinella, Chinasa Odo, Ioanna Lykourentzou, Judith Masthoff:
How Personality and Communication Patterns Affect Online ad-hoc Teams Under Pressure. 818491 - Federica Lucia Vinella, Jiayuan Hu, Ioanna Lykourentzou, Judith Masthoff:
Crowdsourcing Team Formation With Worker-Centered Modeling. 818562 - Kotaro Okazaki, Katsumi Inoue:
Explainable Model Fusion for Customer Journey Mapping. 824197 - Vivek Krishna Pradhan, Mike Schaekermann, Matthew Lease:
In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers. 828187 - Kyoung Tak Cho, Taner Z. Sen, Carson M. Andorf:
Predicting Tissue-Specific mRNA and Protein Abundance in Maize: A Machine Learning Approach. 830170 - Shixiao Liang, Aaron Higuera, Christina Peters, Venkat Roy, Waheed U. Bajwa, Hagit Shatkay, Christopher D. Tunnell:
Domain-Informed Neural Networks for Interaction Localization Within Astroparticle Experiments. 832909 - Naomi Kamoen, Christine Liebrecht:
I Need a CAVAA: How Conversational Agent Voting Advice Applications (CAVAAs) Affect Users' Political Knowledge and Tool Experience. 835505 - Simon Roessig, Bodo Winter, Doris Mücke:
Tracing the Phonetic Space of Prosodic Focus Marking. 842546 - Yeon-jae Jwa, Giuseppe Di Guglielmo, Lukas Arnold, Luca Carloni, Georgia Karagiorgi:
Real-Time Inference With 2D Convolutional Neural Networks on Field Programmable Gate Arrays for High-Rate Particle Imaging Detectors. 855184 - Rei Taguchi, Hikaru Watanabe, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu:
Constructing Equity Investment Strategies Using Analyst Reports and Regime Switching Models. 865950 - Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Yasushi Ishikawa:
Forecasting Stock Price Trends by Analyzing Economic Reports With Analyst Profiles. 866723 - Rossana Merola:
Inclusive Growth in the Era of Automation and AI: How Can Taxation Help? 867832 - Michel Schwab, Robert Jäschke, Frank Fischer:
"The Rodney Dangerfield of Stylistic Devices": End-to-End Detection and Extraction of Vossian Antonomasia Using Neural Networks. 868249 - Paola Cerchiello, Giancarlo Nicola, Samuel Rönnqvist, Peter Sarlin:
Assessing Banks' Distress Using News and Regular Financial Data. 871863 - Alina Schmitz-Hübsch, Sophie-Marie Stasch, Ron Becker, Sven Fuchs, Maria Wirzberger:
Affective Response Categories - Toward Personalized Reactions in Affect-Adaptive Tutoring Systems. 873056 - Bikas K. Chakrabarti, Atanu Rajak, Antika Sinha:
Stochastic Learning in Kolkata Paise Restaurant Problem: Classical and Quantum Strategies. 874061 - Stefan-Bogdan Marcu, Sabin Tabirca, Mark Tangney:
An Overview of Alphafold's Breakthrough. 875587 - Nikita Rafie, Jacob C. Jentzer, Peter A. Noseworthy, Anthony H. Kashou:
Mortality Prediction in Cardiac Intensive Care Unit Patients: A Systematic Review of Existing and Artificial Intelligence Augmented Approaches. 876007 - Iulian Gabur, Danut Petru Simioniuc, Rod Snowdon, Dan Cristea:
Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations. 876578 - Leslie N. Smith, Adam Conovaloff:
Building One-Shot Semi-Supervised (BOSS) Learning Up to Fully Supervised Performance. 880729 - Xinting Zhu, Yu Lin, Yuxin He, Kwok-Leung Tsui, Pak Wai Chan, Lishuai Li:
Short-Term Nationwide Airport Throughput Prediction With Graph Attention Recurrent Neural Network. 884485 - Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Fabio Anselmi, Ankit B. Patel:
Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics. 889981 - Tim Steuer, Anna Filighera, Thomas Tregel, André Miede:
Educational Automatic Question Generation Improves Reading Comprehension in Non-native Speakers: A Learner-Centric Case Study. 900304 - Manoj Kumar M. V, Shadi Atalla, Nasser Almuraqab, Immanuel Azaad Moonesar:
Detection of COVID-19 Using Deep Learning Techniques and Cost Effectiveness Evaluation: A Survey. 912022 - Christelle Langley, Bogdan-Ionut Cirstea, Fabio Cuzzolin, Barbara J. Sahakian:
Editorial: Theory of Mind in Humans and in Machines. 917565 - Ange Tato, Roger Nkambou:
Infusing Expert Knowledge Into a Deep Neural Network Using Attention Mechanism for Personalized Learning Environments. 921476 - Valerio Basile, Tommaso Caselli, Alexandra Balahur, Lun-Wei Ku:
Editorial: Bias, Subjectivity and Perspectives in Natural Language Processing. 926435 - Ralf Klamma, Milos Kravcik, Viktoria Pammer-Schindler, Elvira Popescu:
Editorial: Intelligence Support for Mentoring Processes in Higher Education (and Beyond). 935020 - Talha Nazir, Muhammad Mushhood Ur Rehman, Muhammad Roshan Asghar, Junaid S. Kalia:
Artificial intelligence assisted acute patient journey. - Jie Zhu, Ashraf Yaseen:
A Recommender for Research Collaborators Using Graph Neural Networks. - Emily Allaway, Kathleen R. McKeown:
Zero-shot stance detection: Paradigms and challenges. - Sohom Ghosh, Shefali Yadav, Xin Wang, Bibhash Chakrabarty, Serdar Kadioglu:
Dichotomic Pattern Mining Integrated With Constraint Reasoning for Digital Behavior Analysis. - Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon:
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. - Andreas Henrici, Jörg Osterrieder:
Editorial: Artificial intelligence in finance and industry: Highlights from 6 European COST conferences. - Rongjiao Ji, Qiwei Han:
Understanding heterogeneity of investor sentiment on social media: A structural topic modeling approach. - Patama Gomutbutra, Adisak Kittisares, Atigorn Sanguansri, Noppon Choosri, Passakorn Sawaddiruk, Puriwat Fakfum, Peerasak Lerttrakarnnon, Sompob Saralamba:
Classification of elderly pain severity from automated video clip facial action unit analysis: A study from a Thai data repository. - Antonio Bruno, Davide Moroni, Riccardo Dainelli, Leandro Rocchi, Silvia Morelli, Emilio Ferrari, Piero Toscano, Massimo Martinelli:
Improving plant disease classification by adaptive minimal ensembling. - Kuppan Gokulan, Sangeeta Khare, Steven L. Foley:
Structural analysis of VirD4 a type IV ATPase encoded by transmissible plasmids of Salmonella enterica isolated from poultry products. - Cristina Baciu, Cherry Xu, Mouaid Alim, Khairunnadiya Prayitno, Mamatha Bhat:
Artificial intelligence applied to omics data in liver diseases: Enhancing clinical predictions. - Claire Cowie, Lauren Hall-Lew, Zuzana Elliott, Anita Klingler, Nina Markl, Stephen Joseph McNulty:
Imagining the city in lockdown: Place in the COVID-19 self-recordings of the Lothian Diary Project. - Alexander Jones, Rashmi Jha:
Exploring the associative learning capabilities of the segmented attractor network for lifelong learning. - Mels de Kloet, Shengyun Yang:
The effects of anthropomorphism and multimodal biometric authentication on the user experience of voice intelligence. - Jamie Woodcock:
Artificial intelligence at work: The problem of managerial control from call centers to transport platforms. - Tiago de Souza Farias, Jonas Maziero:
Feature alignment as a generative process. - Du Wang, Sang Ho Lee, Huaizhi Geng, Haoyu Zhong, John Plastaras, Andrzej Wojcieszynski, Richard Caruana, Ying Xiao:
Interpretable machine learning for predicting pathologic complete response in patients treated with chemoradiation therapy for rectal adenocarcinoma. - Özden Gür Ali:
Targeting resources efficiently and justifiably by combining causal machine learning and theory. - Marjorie Armando, Magalie Ochs, Isabelle Régner:
The Impact of Pedagogical Agents' Gender on Academic Learning: A Systematic Review. - Rozita Dara, Seyed Mehdi Hazrati Fard, Jasmin Kaur:
Recommendations for ethical and responsible use of artificial intelligence in digital agriculture. - Chang Li, Kevin Ma, Nicole Xu, Chenjian Fu, Andrew He, Xiaoming Liu, Yongsheng Bai:
SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data. - Anna Dmitrieva, Antonina Laposhina, Maria Yuryevna Lebedeva:
Creating a list of word alignments from parallel Russian simplification data. - Siqing Jiang, Haojun Gao, Jiajin He, Jiaqi Shi, Yuling Tong, Jian Wu:
Machine learning: A non-invasive prediction method for gastric cancer based on a survey of lifestyle behaviors. - Alicia M. Jones, Daniel R. Jones:
A Novel Bayesian General Medical Diagnostic Assistant Achieves Superior Accuracy With Sparse History. - Harshavardhan B. Rao, Nanda Kumar Bidare Sastry, Rama P. Venu, Preetiparna Pattanayak:
The role of artificial intelligence based systems for cost optimization in colorectal cancer prevention programs. - Abdul Razak M. S., C. R. Nirmala, Maha Aljohani, B. R. Sreenivasa:
A novel technique for detecting sudden concept drift in healthcare data using multi-linear artificial intelligence techniques. - Kordula De Kuthy, Madeeswaran Kannan, Haemanth Santhi Ponnusamy, Detmar Meurers:
Exploring neural question generation for formal pragmatics: Data set and model evaluation. - K. S. M. Tozammel Hossain, Hrayr Harutyunyan, Yue Ning, Brendan Kennedy, Naren Ramakrishnan, Aram Galstyan:
Identifying geopolitical event precursors using attention-based LSTMs. - Sunny Shrestha, Sanchari Das:
Exploring gender biases in ML and AI academic research through systematic literature review. - Xingqiao Wang, Xiaowei Xu, Weida Tong, Qi Liu, Zhichao Liu:
DeepCausality: A general AI-powered causal inference framework for free text: A case study of LiverTox. - Laura Kontiainen, Riikka Koulu, Suvi Sankari:
Research agenda for algorithmic fairness studies: Access to justice lessons for interdisciplinary research. - Artur Kulmizev, Joakim Nivre:
Schrödinger's tree - On syntax and neural language models. - Raymond Ao, George He:
Image based deep learning in 12-lead ECG diagnosis. - Eman A. Alshari, Mohammed B. Abdulkareem, Bharti W. Gawali:
Classification of land use/land cover using artificial intelligence (ANN-RF). - Stephen J. Cowley, Rasmus Gahrn-Andersen:
How systemic cognition enables epistemic engineering. - Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker:
A Unifying Framework for Reinforcement Learning and Planning. - Omri Matania, Renata Klein, Jacob Bortman:
Transfer Across Different Machines by Transfer Function Estimation. - Ananth Rao, Manoj Kumar M. V, Immanuel Azaad Moonesar, Shadi Atalla, B. S. Prashanth, Gaurav Joshi, Tarun K. Soni, Thi Le, Anuj Verma, Hazem Marashdeh:
Cross Country Determinants of Investors' Sentiments Prediction in Emerging Markets Using ANN. - Mohammad A. Mezher, Almothana Altamimi, Ruhaifa Altamimi:
A Genetic Folding Strategy Based Support Vector Machine to Optimize Lung Cancer Classification. - D. E. Moreira da Silva, Lio Gonçalves, Pedro Franco-Gonçalo, Bruno Colaço, Sofia Alves-Pimenta, Mário Ginja, Manuel Ferreira, Vítor Filipe:
Active learning for data efficient semantic segmentation of canine bones in radiographs. - Bradley A. Karas, Sue Qu, Yanji Xu, Qian Zhu:
Experiments with LDA and Top2Vec for embedded topic discovery on social media data - A case study of cystic fibrosis. - Ursula Kania:
"Snake flu," "killer bug," and "Chinese virus": A corpus-assisted critical discourse analysis of lexical choices in early UK press coverage of the COVID-19 pandemic. - Kyra Gobel, Cornelia Niessen, Sebastian Seufert, Ute Schmid:
Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations. - Matthew Cole, Callum Cant, Funda Ustek-Spilda, Mark Graham:
Politics by Automatic Means? A Critique of Artificial Intelligence Ethics at Work. - Ruichen Ge, Hong Zhao, Sha Zhang:
Online Brand Community User Segments: A Text Mining Approach. - Susanne Niehaus, Matthias Hartwig, Patricia H. Rosen, Sascha Wischniewski:
An Occupational Safety and Health Perspective on Human in Control and AI. - Yigal Attali, Andrew Runge, Geoffrey T. LaFlair, Kevin P. Yancey, Sarah Goodwin, Yena Park, Alina A. von Davier:
The interactive reading task: Transformer-based automatic item generation. - Adam Lim, Justin Lo, Matthias W. Wagner, Birgit Ertl-Wagner, Dafna Sussman:
Automatic Artifact Detection Algorithm in Fetal MRI. - Anastasia Angelopoulou, Epaminondas Kapetanios, David Harris Smith, Volker Steuber, Bencie Woll, Frauke Zeller:
Editorial: Explanation in human-AI systems. - Carl J. Talsma, Kurt C. Solander, Maruti Kumar Mudunuru, Brandon Crawford, Michelle R. Powell:
Frost prediction using machine learning and deep neural network models. - Britt Wieland, Jan de Wit, Alwin de Rooij:
Electronic Brainstorming With a Chatbot Partner: A Good Idea Due to Increased Productivity and Idea Diversity. - Nicholas Baker, Patrick Garrigan, Austin Phillips, Philip J. Kellman:
Configural relations in humans and deep convolutional neural networks. - Ulrich von Ulmenstein, Max Tretter, David B. Ehrlich, Christina Lauppert von Peharnik:
Limiting medical certainties? Funding challenges for German and comparable public healthcare systems due to AI prediction and how to address them. - Bert Bredeweg, Marco Kragten:
Requirements and challenges for hybrid intelligence: A case-study in education. - Torsten Maier, Jessica Menold, Christopher McComb:
The Relationship Between Performance and Trust in AI in E-Finance. - Karamarie Fecho, Stanley C. Ahalt, Michael Knowles, Ashok K. Krishnamurthy, Margaret Leigh, Kenneth Morton, Emily R. Pfaff, Max Wang, Hong Yi:
Leveraging Open Electronic Health Record Data and Environmental Exposures Data to Derive Insights Into Rare Pulmonary Disease. - Magne V. Aarset, Leiv Kåre Johannessen:
On Distributed Cognition While Designing an AI System for Adapted Learning. - Anastasiya Kiseleva, Dimitris Kotzinos, Paul de Hert:
Transparency of AI in Healthcare as a Multilayered System of Accountabilities: Between Legal Requirements and Technical Limitations. - Jingpu Shi, Dong Wang, Gino Tesei, Beau Norgeot:
Generating high-fidelity privacy-conscious synthetic patient data for causal effect estimation with multiple treatments. - Tanya Chichekian, Bérenger Benteux:
The potential of learning with (and not from) artificial intelligence in education. - Olga Blinova, Nikita Tarasov:
A hybrid model of complexity estimation: Evidence from Russian legal texts. - Jaya Krishna Mandivarapu, Blake Camp, Rolando Estrada:
Deep Active Learning via Open-Set Recognition. - Jay S. Patel, Chang Su, Marisol Tellez, Jasim M. Albandar, Rishi Rao, Vishnu Iyer, Evan Shi, Huanmei Wu:
Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data. - Qian Zhu, Yong-Zi Chen, Yanji Xu:
Editorial: Biomedical informatics applications in rare diseases. - Ehsan Irajizad, Ranran Wu, Jody V. Vykoukal, Eunice Murage, Rachelle Spencer, Jennifer B. Dennison, Stacy Moulder, Elizabeth Ravenberg, Bora Lim, Jennifer Litton, Debu Tripathy, Vicente Valero, Senthil Damodaran, Gaiane M. Rauch, Beatriz E. Adrada, Rosalind Candelaria, Jason B. White, Abenaa Brewster, Banu Arun, James P. Long, Kim-Anh Do, Sam Hanash, Johannes F. Fahrmann:
Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. - Alessandro Lenci, Sebastian Padó:
Editorial: Perspectives for natural language processing between AI, linguistics and cognitive science. - Romy Lynn Chaib, Catherine Macombe, Rallou Thomopoulos:
Structuring ontologies from natural language for collaborative scenario modeling in agri-food systems. - Soumya Mishra, Tusar Kanti Dash, Ganapati Panda:
Speech phoneme and spectral smearing based non-invasive COVID-19 detection. - Abigail Toth, Petra Hendriks, Niels A. Taatgen, Jacolien van Rij:
A cognitive modeling approach to learning and using reference biases in language. - Shima Nofallah, Wenjun Wu, Kechun Liu, Fatemeh Ghezloo, Joann G. Elmore, Linda G. Shapiro:
Automated analysis of whole slide digital skin biopsy images. - Skylar Connor, Ting Li, Ruth Roberts, Shraddha Thakkar, Zhichao Liu, Weida Tong:
Adaptability of AI for safety evaluation in regulatory science: A case study of drug-induced liver injury. - Dimitri Ognibene, Rodrigo Souza Wilkens, Davide Taibi, Davinia Hernández-Leo, Udo Kruschwitz, Gregor Donabauer, Emily Theophilou, Francesco Lomonaco, Sathya Bursic, René Lobo, J. Roberto Sánchez Reina, Lidia Scifo, Veronica Schwarze, Johanna Börsting, Ulrich Hoppe, Farbod Aprin, Nils Malzahn, Sabrina C. Eimler:
Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion. - Zeyu Zhang, Madison Pope, Nadia Shakoor, Robert Pless, Todd C. Mockler, Abby Stylianou:
Comparing Deep Learning Approaches for Understanding Genotype × Phenotype Interactions in Biomass Sorghum. - Andronicus Ayobami Akinyelu, Pieter J. Blignaut:
COVID-19 diagnosis using deep learning neural networks applied to CT images. - Alexander Brown, Bradley J. Ferguson, Vovanti Jones, Bruce Green, Justin Pearre, Ifeoma Anunoby, David Q. Beversdorf, Richard J. Barohn, Carmen M. Cirstea:
Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral Sclerosis. - Cyril Esnault, Melissa Rollot, Pauline Guilmin, Jean-Daniel Zucker:
Qluster: An easy-to-implement generic workflow for robust clustering of health data. - Nitchan Jianwattanapaisarn, Kaoru Sumi, Akira Utsumi, Nirattaya Khamsemanan, Cholwich Nattee:
Emotional characteristic analysis of human gait while real-time movie viewing. - Norhasmira Mohammad, Rohana Ahmad, Arofi Kurniawan, Mohd Yusmiaidil Putera Mohd Yusof:
Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier: A scoping review. - Sheikh Jubair, Mike Domaratzki:
Crop genomic selection with deep learning and environmental data: A survey. - Romena Yasmin, Md Mahmudulla Hassan, Joshua Grassel, Harika Bhogaraju, Adolfo R. Escobedo, Olac Fuentes:
Improving Crowdsourcing-Based Image Classification Through Expanded Input Elicitation and Machine Learning. - Sandra Grinschgl, Aljoscha C. Neubauer:
Supporting Cognition With Modern Technology: Distributed Cognition Today and in an AI-Enhanced Future. - Olimpia Giuliana Loddo, Andrea Addis, Giuseppe Lorini:
Intersemiotic translation of contracts into digital environments. - Katharina Kann, Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, John E. Ortega, Annette Rios, Angela Fan, Ximena Gutierrez-Vasques, Luis Chiruzzo, Gustavo Alberto Giménez Lugo, Ricardo Ramos, Iván Vladimir Meza Ruíz, Elisabeth Mager, Vishrav Chaudhary, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu:
AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas. - Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, Alessandro Bozzon:
An Analysis of Music Perception Skills on Crowdsourcing Platforms. - Castro Elizondo Jose Ezequiel, Martin Gjoreski, Marc Langheinrich:
Federated Learning for Privacy-Aware Human Mobility Modeling. - Emmanuelle Dietz, Antonis C. Kakas, Loizos Michael:
Argumentation: A calculus for Human-Centric AI. - Justina Deveikyte, Helyette Geman, Carlo Piccari, Alessandro Provetti:
A sentiment analysis approach to the prediction of market volatility. - Sanja Stajner, Daniel Ferrés, Matthew Shardlow, Kai North, Marcos Zampieri, Horacio Saggion:
Lexical simplification benchmarks for English, Portuguese, and Spanish. - Nikhil Krishnaswamy, James Pustejovsky:
Affordance embeddings for situated language understanding. - Javier M. Duarte, Mia Liu, Jennifer Ngadiuba, Elena Cuoco, Jesse Thaler:
Editorial: Efficient AI in particle physics and astrophysics. - Pawel Sobkowicz:
Hammering with the telescope. - Sara Vecchiato:
Clear, easy, plain, and simple as keywords for text simplification. - Divya Bhargavi, Sia Gholami, Erika Pelaez Coyotl:
Jersey number detection using synthetic data in a low-data regime. - Yihan Deng, Kerstin Denecke:
Classification of user queries according to a hierarchical medical procedure encoding system using an ensemble classifier. - George Doumat, Darine Daher, Nadim-Nicolas Ghanem, Beatrice Khater:
Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study. - Oliver Atkinson, Akanksha Bhardwaj, Christoph Englert, Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky:
IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection. - Anupreet Kaur Singh, Sridhar Krishnan:
Trends in EEG signal feature extraction applications. - Ahmad Ibrahim, Hoda K. Mohamed, Ali Maher, Baochang Zhang:
A Survey on Human Cancer Categorization Based on Deep Learning. - Tariq O. Abbas, Mohamed Abdelmoniem, Muhammad Enamul Hoque Chowdhury:
Automated quantification of penile curvature using artificial intelligence. - Alexander Pelaez, Amal Jacobson, Kara Trias, Elaine Winston:
The Turing Teacher: Identifying core attributes for AI learning in K-12. - Mahta Ramezanian-Panahi, Germán Abrevaya, Jean-Christophe Gagnon-Audet, Vikram Voleti, Irina Rish, Guillaume Dumas:
Generative Models of Brain Dynamics. - Alessandra Rossetti, Luuk van Waes:
It's not just a phase: Investigating text simplification in a second language from a process and product perspective. - Carolina Chiu, Fabián Villena, Kinan Martin, Fredy Núñez, Cecilia Besa, Jocelyn Dunstan:
Training and intrinsic evaluation of lightweight word embeddings for the clinical domain in Spanish. - Simon Hentschel, Konstantin Kobs, Andreas Hotho:
CLIP knows image aesthetics. - Ting Li, Weida Tong, Ruth Roberts, Zhichao Liu, Shraddha Thakkar:
Corrigendum: DeepCarc: Deep learning-powered carcinogenicity prediction using model-level representation. - Melva Inés Gómez-Caicedo, Mercedes Gaitán-Angulo, Jorge Bacca-Acosta, Carlos Yesid Briñez Torres, Jenny Cubillos Díaz:
Business analytics approach to artificial intelligence. - Ilona Tragel, Aimi Pikksaar:
Authority and solidarity on the Estonian COVID-19 signs: In line with the government's guidelines, we ask you to wear a mask. - Haixia Wang, Qiaoqiao Sun, Li Gu, Kaisheng Lai, Lingnan He:
Diversity in people's reluctance to use medical artificial intelligence: Identifying subgroups through latent profile analysis. - Frank M. Fossen, Daniel K. Samaan, Alina Sorgner:
How Are Patented AI, Software and Robot Technologies Related to Wage Changes in the United States? - Ekkehard Ernst:
The AI trilemma: Saving the planet without ruining our jobs. - Alice Plebe, Gastone Pietro Rosati Papini, Antonello Cherubini, Mauro Da Lio:
Distributed cognition for collaboration between human drivers and self-driving cars. - Ali Muhamed Ali, Hanqi Zhuang, Ali K. Ibrahim, Justin L. Wang, Laurent M. Chérubin:
Deep learning prediction of two-dimensional ocean dynamics with wavelet-compressed data. - Tyler J. Loftus, Benjamin Shickel, Jeremy A. Balch, Patrick James Tighe, Kenneth L. Abbott, Brian Fazzone, Erik M. Anderson, Jared Rozowsky, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Scott A. Berceli, William R. Hogan, Philip A. Efron, J. Randall Moorman, Parisa Rashidi, Gilbert R. Upchurch Jr., Azra Bihorac:
Phenotype clustering in health care: A narrative review for clinicians. - Kazunori D. Yamada, M. Samy Baladram, Fangzhou Lin:
Relation is an option for processing context information. - Ananth Rao, M. V. Manoj Kumar, Nanda Kumar Bidare Sastry, Immanuel Azaad Moonesar, Arkalgud Ramaprasad, Alicia Núñez Mondaca, B. Annappa, Karan Bhanot, Wathiq Mansoor:
Editorial: AI and Healthcare Financial Management (HFM) towards sustainable development. - Sarya Swed, Hidar Alibrahim, Nashaat Kamal Hamdy Elkalagi, Mohamad Nour Nasif, Mohammed Amir Rais, Abdulqadir J. Nashwan, Ahmed Aljabali, Mohamed Elsayed, Bisher Sawaf, Mhd Kutaiba Albuni, Elias Battikh, Leena Abdelwahab Mohamed Elsharif, Safaa Mohamed Alsharief Ahmed, Eman Mohammed Sharif Ahmed, Zain Alabdeen Othman, Ahmad Alsaleh, Sheikh Shoib:
Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Syria: A cross-sectional online survey. - Suprosanna Shit, Judith Zimmermann, Ivan Ezhov, Johannes C. Paetzold, Augusto Fava-Sanches, Carolin M. Pirkl, Bjoern H. Menze:
SRflow: Deep learning based super-resolution of 4D-flow MRI data. - Baptist Liefooghe, Leendert van Maanen:
Three levels at which the user's cognition can be represented in artificial intelligence. - Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich:
Yes we care!-Certification for machine learning methods through the care label framework. - Gregor Betz, Kyle Richardson:
Judgment aggregation, discursive dilemma and reflective equilibrium: Neural language models as self-improving doxastic agents. - Michael Zock, Simon De Deyne, Massimo Stella, Vito Pirrelli:
Editorial: The Mental Lexicon, Blueprint of the Dictionaries of Tomorrow: Cognitive Aspects of the Lexicon. - Tobias Huber, Benedikt Limmer, Elisabeth André:
Benchmarking Perturbation-Based Saliency Maps for Explaining Atari Agents. - Christos Troussas, Akrivi Krouska, Katerina Kabassi, Cleo Sgouropoulou, Alexandra I. Cristea:
Editorial: Artificial intelligence techniques for personalized educational software. - Richa Bansal, Sathiakar Collison, Lakshmi Krishnan, Bharat Aggarwal, Mathukumalli Vidyasagar, Siva Teja Kakileti, Geetha Manjunath:
A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to a secondary care hospital. - Taylor Jones:
African American English intensifier dennamug: Using twitter to investigate syntactic change in low-frequency forms. - Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia:
Graph Learning for Fake Review Detection. - Fidelia A. Orji, Julita Vassileva:
Automatic modeling of student characteristics with interaction and physiological data using machine learning: A review. - Dina Machuve, Ezinne Nwankwo, Neema Mduma, Jimmy T. Mbelwa:
Poultry diseases diagnostics models using deep learning. - Jayanshi Tripathi, Roelof Anne Jelle de Vries, Mailin Lemke:
The three-step persuasion model on YouTube: A grounded theory study on persuasion in the protein supplements industry. - Brian S. Caffo, Fabio Aurelio D'Asaro, Artur Garcez, Emanuela Raffinetti:
Editorial: Explainable artificial intelligence models and methods in finance and healthcare. - Juan Antonio Lossio-Ventura, Ran Sun, Sebastien Boussard, Tina Hernandez-Boussard:
Clinical concept recognition: Evaluation of existing systems on EHRs. - Gregory R. Hart, Vanessa Yan, Bradley J. Nartowt, David A. Roffman, Gigi Felice Stark, Wazir Muhammad, Jun Deng:
Statistical biopsy: An emerging screening approach for early detection of cancers. - Sonja Stange, Teena Hassan, Florian Schröder, Jacqueline Konkol, Stefan Kopp:
Self-Explaining Social Robots: An Explainable Behavior Generation Architecture for Human-Robot Interaction. - Tatsuya Kanamaru, Taiki Arakane, Takeshi Saitoh:
Isolated single sound lip-reading using a frame-based camera and event-based camera. - John Shen, Siddharth Ghatti, Nate Ryan Levkov, Haiying Shen, Tanmoy Sen, Karen Rheuban, Kyle Enfield, Nikki Reyer Facteau, Gina Engel, Kim Dowdell:
A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine. - Aalt D. J. van Dijk, Shin-Han Shiu, Dick de Ridder:
Editorial: Artificial Intelligence and Machine Learning Applications in Plant Genomics and Genetics. - Hans-Peter Beck:
Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings. - Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi:
Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks. - Halil Bisgin, Tanmay Bera, Leihong Wu, Hongjian Ding, Neslihan Bisgin, Zhichao Liu, Monica Pava-Ripoll, Amy Barnes, James F. Campbell, Himansi Vyas, Cesare Furlanello, Weida Tong, Joshua Xu:
Accurate species identification of food-contaminating beetles with quality-improved elytral images and deep learning. - Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley:
Investigation of independent reinforcement learning algorithms in multi-agent environments. - Manoj Kumar M. V, Jagadish Patil, Aditya Shastry, S. L. Shiva Darshan, Nanda Kumar Bidare Sastry, Immanuel Azaad Moonesar, Shadi Atalla, Nasser Almuraqab, Ananth Rao:
ICT Enabled Disease Diagnosis, Treatment and Management - A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India. - Moritz Wäschle, Florian Thaler, Axel Berres, Florian Pölzlbauer, Albert Albers:
A review on AI Safety in highly automated driving. - Meng Song, Jonathan Greenbaum, Joseph Luttrell IV, Weihua Zhou, Chong Wu, Zhe Luo, Chuan Qiu, Lan Juan Zhao, Kuan-Jui Su, Qing Tian, Hui Shen, Huixiao Hong, Ping Gong, Xinghua Shi, Hong-Wen Deng, Chaoyang Zhang:
An autoencoder-based deep learning method for genotype imputation. - Lubna Daraz, Bebe S. Chang, Sheila Bouseh:
Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada. - Amir Toliyat, Sarah Ita Levitan, Zheng Peng, Ronak Etemadpour:
Asian hate speech detection on Twitter during COVID-19. - Qian Zhu, Chunxu Qu, Ruizheng Liu, Gunjan Vatas, Andrew Clough, Ðac-Trung Nguyen, Eric Sid, Ewy A. Mathé, Yanji Xu:
Rare disease-based scientific annotation knowledge graph. - Isabela Albuquerque, João Monteiro, Olivier Rosanne, Tiago H. Falk:
Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment. - Michael David Harmse, Jean Herman van Laar, Wiehan Adriaan Pelser, Cornelius Stephanus Lodewyk Schutte:
Integration of machine learning with complex industrial mining systems for reduced energy consumption. - Trung Tran Van, Dao Le Quang, Son Bao Pham, Viet Hung Luu, Quang Hung Bui:
Large-scale Vietnamese point-of-interest classification using weak labeling. - Wenting Hu, Owen Combden, Xianta Jiang, Syamala Buragadda, Caitlin J. Newell, Maria C. Williams, Andrew Critch, Michelle Ploughman:
Machine learning corroborates subjective ratings of walking and balance difficulty in multiple sclerosis. - Katerina Zdravkova, Venera Krasniqi, Fisnik Dalipi, Mexhid Ferati:
Cutting-edge communication and learning assistive technologies for disabled children: An artificial intelligence perspective. - Thomas Luechtefeld, Thomas Bozada, Rahul Goel, Lin Wang, Channing J. Paller:
Applications for open access normalized synthesis in metastatic prostate cancer trials. - Dina Machuve, Ezinne Nwankwo, Neema Mduma, Jimmy T. Mbelwa:
Corrigendum: Poultry diseases diagnostics models using deep learning. - Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, Qing Zhao:
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning. - B. Dharmaveer Shetty, Noha Amaly, Bart C. Weimer, Pramod Pandey:
Predicting Escherichia coli levels in manure using machine learning in weeping wall and mechanical liquid solid separation systems. - Rudolf M. Oosthuizen:
The Fourth Industrial Revolution - Smart Technology, Artificial Intelligence, Robotics and Algorithms: Industrial Psychologists in Future Workplaces. - Tariq Alkhalifah, Oleg Ovcharenko:
Direct domain adaptation through reciprocal linear transformations. - Daniel Wolferts, Elisabeth Stein, Ann-Kathrin Bernards, René Reiners:
Differences between remote and analog design thinking through the lens of distributed cognition. - Caleb Vatral, Gautam Biswas, Clayton Cohn, Eduardo Davalos, Naveeduddin Mohammed:
Using the DiCoT framework for integrated multimodal analysis in mixed-reality training environments. - Kaoru Sumi, Shusuke Sato:
Experiences of Game-Based Learning and Reviewing History of the Experience Using Player's Emotions. - Per Urlaub, Eva Dessein:
Machine translation and foreign language education. - Aki-Juhani Kyröläinen, Veronika Laippala:
Predictive keywords: Using machine learning to explain document characteristics. - Lucie Galland, Catherine Pelachaud, Florian Pecune:
Adapting conversational strategies in information-giving human-agent interaction. - Laura Asensio-Puig, Laia Alemany, Miquel Angel Pavón:
A Straightforward HPV16 Lineage Classification Based on Machine Learning. - Michael Zock:
The mental lexicon: A blueprint for the dictionaries of tomorrow? - Thuso Mathaha, Mhlambululi Mafu, Onkabetse V. Mabikwa, Joseph P. Ndenda, Gregory Hillhouse, Bruce Mellado:
Leveraging artificial intelligence to optimize COVID-19 robust spread and vaccination roll-out strategies in Southern Africa. - Vladimir Vladimirovich Ivanov:
Sentence-level complexity in Russian: An evaluation of BERT and graph neural networks. - Giulia Fischetti, Nicolas Schmid, Simon Bruderer, Guido Caldarelli, Alessandro Scarso, Andreas Henrici, Dirk Wilhelm:
Automatic classification of signal regions in 1H Nuclear Magnetic Resonance spectra. - Andrea Gauthier, Saman Rizvi, Mutlu Cukurova, Manolis Mavrikis:
Is it time we get real? A systematic review of the potential of data-driven technologies to address teachers' implicit biases. - Aleksandra Foksinska, Camerron M. Crowder, Andrew B. Crouse, Jeff Henrikson, William E. Byrd, Gregory Rosenblatt, Michael J. Patton, Kaiwen He, Thi K. Tran-Nguyen, Marissa Zheng, Stephen A. Ramsey, Nada Amin, John D. Osborne, Matthew Might:
The precision medicine process for treating rare disease using the artificial intelligence tool mediKanren. - Vy Bui, Li-Yueh Hsu, Lin-Ching Chang, An-Yu Sun, Loc Tran, Sujata M. Shanbhag, Wunan Zhou, Nehal N. Mehta, Marcus Y. Chen:
DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation. - Wonil Choi, Kyungmin Nam, Minwoo Park, Seoyi Yang, Sangyoon Hwang, Hayoung Oh:
Fake review identification and utility evaluation model using machine learning. - Waleed Hilal, Michael G. Chislett, Brett Snider, Edward A. McBean, John Yawney, S. Andrew Gadsden:
Use of AI to assess COVID-19 variant impacts on hospitalization, ICU, and death. - Ethan Barrance, Emre Kazim, Airlie Hilliard, Markus Trengove, Sara Zannone, Adriano S. Koshiyama:
Overview and commentary of the CDEI's extended roadmap to an effective AI assurance ecosystem. - Abdul Razak M. S., C. R. Nirmala, B. R. Sreenivasa, Husam Lahza, Hassan Fareed M. Lahza:
A survey on detecting healthcare concept drift in AI/ML models from a finance perspective. - Adam Perrett, Steve B. Furber, Oliver Rhodes:
Error driven synapse augmented neurogenesis.
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