Table of Contents

• Messing Up 3D Virtual Environments: Transferable Adversarial 3D ObjectsEnrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci. 1-8 [doi]
• Character-level Adversarial Examples in ArabicBasemah Alshemali, Jugal Kalita. 9-14 [doi]
• TopKConv: Increased Adversarial Robustness Through Deeper InterpretabilityHenry Eigen, Amir Sadovnik. 15-22 [doi]
• Universal Adversarial Attack on Deep Learning Based PrognosticsArghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana. 23-29 [doi]
• Feature Popularity Between Different Web Attacks with Supervised Feature Selection RankersRichard Zuech, John T. Hancock, Taghi M. Khoshgoftaar. 30-37 [doi]
• Improved Attribute Manipulation in the Latent Space of StyleGAN for Semantic Face EditingAashish Rai, Clara Ducher, Jeremy R. Cooperstock. 38-43 [doi]
• PollenGAN: Synthetic Pollen Grain Image Generation for Data AugmentationPhilipp Viertel, Matthias König 0001, Jan Rexilius. 44-49 [doi]
• ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial NetworksKhondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan 0002, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker. 50-56 [doi]
• Self-Attention Mechanism in GANs for Molecule GenerationSandeep Chinnareddy, Pranav Grandhi, Apurva Narayan. 57-60 [doi]
• Guided-Generative Network for noise detection in Monte-Carlo renderingJérôme Buisine, Fabien Teytaud, Samuel Delepoulle, Christophe Renaud. 61-66 [doi]
• Detection of Endoscope Withdrawal Time in Colonoscopy VideosYing Li, Alexander Ding, Yu Cao 0002, Benyuan Liu, Shuijiao Chen, Xiaowei Liu. 67-74 [doi]
• Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening ImageryQian Wang, Toby P. Breckon. 75-82 [doi]
• ME-TSRN for Thermal Sensation Recognition via Facial Micro-expressionXinhui Zhao, Kai Tang, Kazushige Ouchi. 83-88 [doi]
• Disease Prediction Based on Individual's Medical History Using CNNMonica Krishnamoorthy, Mohammed Sharafath Abdul Hameed, Thomas Kopinski, Andreas Schwung. 89-94 [doi]
• A Novel Convolutional Neural Network For Pavement Crack SegmentationErkai Li, Huiming Tang. 95-99 [doi]
• CiPSI and CiPSINet: a New Dataset and Network for Finding Cars in Panchromatic Satellite ImagesBenjamin Parfitt, Tejaishwarya Gagadam. 100-107 [doi]
• Recurrence Plot Spacial Pyramid Pooling Network for Appliance Identification in Non-Intrusive Load MonitoringMarc Wenninger, Sebastian P. Bayerl, Andreas Maier 0001, Jochen Schmidt. 108-115 [doi]
• Seed Classification using Synthetic Image Datasets Generated from Low-Altitude UAV ImageryVenkat Margapuri, Niketa Penumajji, Mitchell L. Neilsen. 116-121 [doi]
• Identifying Catheter and Line Position in Chest X-Rays Using GANsMilan Aryal, Nasim Yahyasoltani. 122-127 [doi]
• Damage Estimation and Localization from Sparse Aerial ImageryRene Garcia Franceschini, Jeffrey Liu, Saurabh Amin. 128-134 [doi]
• Automated Antenna Testing Using Encoder-Decoder-based Anomaly DetectionHans Hao-Hsun Hsu, Jiawen Xu, Ravi Sama, Matthias Kovatsch. 135-142 [doi]
• ComFu: Improving Visual Clustering by Commonality FusionChunchun Li, Manuel Günther, Terrance E. Boult. 143-150 [doi]
• COCLUBERT: Clustering Machine Learning Source CodeMarcus Hägglund, Francisco J. Peña, Sepideh Pashami, Ahmad Al-Shishtawy, Amir H. Payberah. 151-158 [doi]
• Novelty-based Generalization Evaluation for Traffic Light DetectionArvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren. 159-165 [doi]
• Anomaly Attribution of Multivariate Time Series using Counterfactual ReasoningVioleta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler. 166-172 [doi]
• Multi-Slice Clustering for 3-order TensorAndriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah. 173-178 [doi]
• A Multi-Scale A Contrario method for Unsupervised Image Anomaly DetectionMatías Tailanián, Pablo Musé, Álvaro Pardo. 179-184 [doi]
• Kernel ridge reconstruction for anomaly detection: general and low computational reconstructionYasutaka Furusho, Shuhei Nitta, Yukinobu Sakata. 185-190 [doi]
• Emotion Recognition and Sentiment Classification using BERT with Data Augmentation and Emotion Lexicon EnrichmentVishwa Sai Kodiyala, Robert E. Mercer. 191-198 [doi]
• A Data-driven Affective Text Classification AnalysisSaeid Pourroostaei Ardakani, Can Zhou, Xuting Wu, Yingrui Ma, Jizhou Che. 199-204 [doi]
• End-to-End Natural Language Understanding Pipeline for Bangla Conversational AgentsFahim Shahriar Khan, Mueeze Al Mushabbir, Mohammad Sabik Irbaz, Md Abdullah Al Nasim. 205-210 [doi]
• On Natural Language Processing Applications for Military Dialect ClassificationCharith Gunasekara, Tobias Carryer, Matt Triff. 211-218 [doi]
• KerasBERT: Modeling the Keras LanguageConnor Shorten, Taghi M. Khoshgoftaar. 219-226 [doi]
• Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging PlatformsRishab Sharma, Fatemeh H. Fard, Apurva Narayan. 227-232 [doi]
• COVID-HateBERT: a Pre-trained Language Model for COVID-19 related Hate Speech DetectionMingqi Li, Song Liao, Ebuka Okpala, Max Tong, Matthew Costello, Long Cheng 0005, Hongxin Hu, Feng Luo 0001. 233-238 [doi]
• A Machine Learning Pipeline to Examine Political Bias with Congressional SpeechesPrasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi. 239-243 [doi]
• Identifying Duplicate Police ReportsAlan Firmiano, Ticiana L. Coelho da Silva. 244-247 [doi]
• Discrete Latent Variables Discovery and Structure Learning in Mixed Bayesian NetworksAviv Peled, Shai Fine. 248-255 [doi]
• IVDR: Imitation learning with Variational inference and Distributional Reinforcement learning to find Optimal Driving StrategyKihyung Joo, Simon S. Woo. 256-262 [doi]
• Pairwise Margin Maximization for Deep Neural NetworksBerry Weinstein, Shai Fine, Yacov Hel-Or. 263-270 [doi]
• Progressive Transmission and Inference of Deep Learning ModelsYoungsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi. 271-277 [doi]
• An Effective Baseline for Robustness to Distributional ShiftSunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya 0001, Jeff A. Bilmes. 278-285 [doi]
• On Learning Probabilistic Partial Lexicographic Preference TreesXudong Liu. 286-291 [doi]
• Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept EmbeddingsMirantha Jayathilaka, Tingting Mu, Uli Sattler. 292-297 [doi]
• Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta DistributionsNarges Manouchehri, Nizar Bouguila, Wentao Fan. 298-303 [doi]
• Current Advances on Deep Learning-based Human Action Recognition from Videos: a SurveyYixiao Zhang, Baihua Li, Hui Fang 0003, Qinggang Meng. 304-311 [doi]
• Vehicle Tracking with Crop-based DetectionDerek Gloudemans, Daniel B. Work. 312-319 [doi]
• Detecting Freezing of Gait in Parkinson's Disease Patient via Deep Residual NetworkRunfeng Miao, Solaiman Shokur, Andrea Cristina De Lima Pardini, Daniel Boari, Mohamed Bouri. 320-325 [doi]
• Improved Deep Representation Learning for Human Activity Recognition using IMU SensorsNiall Lyons, Avik Santra, Ashutosh Pandey. 326-332 [doi]
• Sensor-Based Obsessive-Compulsive Disorder Detection With Personalised Federated LearningKristina Kirsten, Bjarne Pfitzner, Lando Löper, Bert Arnrich. 333-339 [doi]
• Enhancing Siamese Visual Tracking With Background RelationsChih-Yang Lin, Shang-Chian Yang, Hui-Fuang Ng, Wei-Yang Lin. 340-344 [doi]
• Few-Shot Classification for Human Context Recognition Using Smartphone Data TracesLuke Buquicchio, Walter Gerych, Abdulaziz AlAjaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu. 345-350 [doi]
• Step Detection using SVM on NURVV TrackersDidier Lopes, Grant Trewartha. 351-356 [doi]
• Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment MeasurementsJia Wang, Hongwei Zhu, Jiancheng Shen, Yu Cao 0002, Benyuan Liu. 357-364 [doi]
• Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement LearningHaoran Wang, Shi Yu. 365-372 [doi]
• Robust Collaborative Fraudulent Transaction Detection using Federated LearningDelton Myalil, M. A. Rajan, Manoj Apte, Sachin Lodha. 373-378 [doi]
• CrypTop12: A Dataset For Cryptocurrency Price Movement Prediction From Tweets And Historical PricesAmish Garg, Tanav Shah, Vinay Kumar Jain, Raksha Sharma. 379-384 [doi]
• Financial Time Series Forecasting Enriched with Textual InformationLord Flaubert Steve Ataucuri Cruz, Diego Furtado Silva. 385-390 [doi]
• Temporal Debiasing using Adversarial Loss based GNN architecture for Crypto Fraud DetectionAditya Singh, Anubhav Gupta, Hardik Wadhwa, Siddhartha Asthana, Ankur Arora. 391-396 [doi]
• Intra-Day Price Simulation with Generative Adversarial Modelling of the Order FlowYe-Sheen Lim, Denise Gorse. 397-402 [doi]
• Con Connections: Detecting Fraud from Abstracts using Topological Data AnalysisSarah Tymochko, Julien Chaput, Timothy Doster, Emilie Purvine, Jackson Warley, Tegan Emerson. 403-408 [doi]
• Modeling approaches for Silent Attrition prediction in Payment networksLalasa Dheekollu, Hardik Wadhwa, Siddharth Vimal, Anubhav Gupta, Siddhartha Asthana, Ankur Arora, Smriti Gupta. 409-414 [doi]
• A Markov Decision Processes Modeling for Curricular AnalyticsAhmad Slim, Husain Al Yusuf, Nadine Abbas, Chaouki T. Abdallah, Gregory L. Heileman, Ameer Slim. 415-421 [doi]
• Deep Semi-supervised Learning for Time Series ClassificationJann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl. 422-428 [doi]
• Estimating the Variance of Return Sequences for ExplorationZerong Xi, Gita Sukthankar. 429-434 [doi]
• Sequence Model-based End-to-End Solar Flare Classification from Multivariate Time Series DataAli Ahsan Muhummad Muzaheed, Shah Muhammad Hamdi, Soukaïna Filali Boubrahimi. 435-440 [doi]
• Aircraft Numerical "Twin": A Time Series Regression CompetitionAdrien Pavao, Isabelle Guyon, Nachar Stéphane, Fabrice Lebeau, Martin Ghienne, Ludovic Platon, Tristan Barbagelata, Pierre Escamilla, Sana Mzali, Meng Liao, Sylvain Lassonde, Antonin Braun, Slim Ben-Amor, Liliana Cucu-Grosjean, Marwan Wehaiba, Avner Bar-Hen, Adriana Gogonel, Alaeddine Ben Cheikh, Marc Duda, Julien Laugel, Mathieu Marauri, Mhamed Souissi, Théo Lecerf, Mehdi Elion, Sonia Tabtill, Julien Budynek, Pauline Le Bouteiller, Antonin Penon, Raphaël-David Lasseri, Julien Ripoche, Thomas E. Epalle. 441-448 [doi]
• Causal Inference in Non-linear Time-series using Deep Networks and Knockoff CounterfactualsWasim Ahmad, Maha Shadaydeh, Joachim Denzler. 449-454 [doi]
• LCCspm: l-Length Closed Contiguous Sequential Patterns Mining Algorithm to Find Frequent Athlete Movement Patterns from GPSVictor Elijah Adeyemo, Anna Palczewska, Ben Jones. 455-460 [doi]
• Transform-Based Tensor Auto Regression for Multilinear Time Series ForecastingJackson Cates, Randy C. Hoover, Kyle A. Caudle, Riley Kopp, Cagri Ozdemir. 461-466 [doi]
• Time Series Data Augmentation using Time-Warped Auto-EncodersShain Shahid Chowdhury, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi. 467-470 [doi]
• Probabilistic Multi-knowledge Transfer in Reinforcement LearningDaniel Fernández, Fernando Fernández, Javier García. 471-476 [doi]
• AlphaRA: An AlphaZero based approach to Redundancy AnalysisHelik Kanti Thacker, Atishay Kumar, Adrita Barari, Damini, Ankit Gupta 0010, Keerthi Kiran Jagannathachar, Deokgu Yoon. 477-483 [doi]
• Building Action Sets in a Deep Reinforcement LearnerYongzhao Wang, Arunesh Sinha, Sky CH-Wang, Michael P. Wellman. 484-489 [doi]
• Multi-Agent Deep Reinforcement Learning for Walker SystemsInhee Park, Teng-Sheng Moh. 490-495 [doi]
• SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement LearningTegg Tae Kyong Sung, Bo Ryu. 496-501 [doi]
• Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement LearningJuan Manuel Parrilla Gutierrez. 502-506 [doi]
• Towards Real-World Deployment of Reinforcement Learning for Traffic Signal ControlArthur Müller, Vishal Rangras, Tobias Ferfers, Florian Hufen, Lukas Schreckenberg, Jürgen Jasperneite, Georg Schnittker, Michael Waldmann, Maxim Friesen, Marco A. Wiering. 507-514 [doi]
• A Data-Efficient Reinforcement Learning Method Based on Local Koopman OperatorsLixing Song, Junheng Wang, Junhong Xu. 515-520 [doi]
• Feature Subset Selection based on Redundancy Maximized ClustersMd. Hasan Tarek, Md. Eusha Kadir, Sadia Sharmin, Abu Ashfaqur Sajib, Amin Ahsan Ali, Mohammad Shoyaib. 521-526 [doi]
• Fast Tensor Singular Value Decomposition Using the Low-Resolution Features of TensorsCagri Ozdemir, Randy C. Hoover, Kyle A. Caudle. 527-533 [doi]
• SUPRDAD: A Robust Feature Extractor Better Recognizes Low-Prevalent Retinal DiseasesJoonho Lee, Su Jeong Song. 534-540 [doi]
• Principal Component Analysis and Entropy-based Selection for the Improvement of Bug TriageVaskar Nath, David Sheldon, John Alphonso-Gibbs. 541-546 [doi]
• Use of Embedding Spaces for Transferring Robot Skills in Diverse Sensor SettingsKazushi Ninomiya, Masakazu Hirokawa, Kenji Suzuki. 547-551 [doi]
• Depression Detection Using Combination of sMRI and fMRI Image FeaturesMarzieh Mousavian, Jianhua Chen 0003, Steven G. Greening. 552-557 [doi]
• Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-ProcessingJan-Christoph Schmitz, Adrian Bauer, Anton Kummert. 558-563 [doi]
• Tiny Generative Image Compression for Bandwidth-Constrained Sensor ApplicationsNikolai Körber, Andreas Siebert, Sascha Hauke, Daniel Mueller-Gritschneder. 564-569 [doi]
• Identification and validation of a radiomic signature for predicting survival outcomes in non-small-cell lung cancer treated with radiation therapyJin Li, Yixin Liu, Jingquan Wu. 570-574 [doi]
• Deep Learning for Morphological Arrhythmia Classification in Encoded ECG SignalSandeep S. Mittal, Jack Rothberg, Kanad Ghose. 575-581 [doi]
• Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning DataLiam A. Kruse, Allan L. Reiss, Mykel J. Kochenderfer, Stephanie Balters. 582-588 [doi]
• Outperforming Clinical Practices in Breast Cancer Detection: A Superior Dense Neural Network in Classification and False Negative ReductionPatrick Bujok, Maria Jensen, Steffen M. Larsen, Robert A. Alphinas. 589-594 [doi]
• Depression Screening Using Deep Learning on Follow-up Questions in Clinical InterviewsRicardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner. 595-600 [doi]
• Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking SequencesYuehan Yin, Yahya Alqahtani, Jinjuan Heidi Feng, Joyram Chakraborty, Michael P. McGuire. 601-605 [doi]
• DeepSplicer: An Improved Method of Splice Sites Prediction using Deep LearningVictor Akpokiro, Oluwatosin Oluwadare, Jugal Kalita. 606-609 [doi]
• Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray ImageryThomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon. 610-615 [doi]
• Attention on Classification for Fire SegmentationMilad Niknejad, Alexandre Bernardino. 616-621 [doi]
• Purrai: A Deep Neural Network based Approach to Interpret Domestic Cat LanguageWeilin Sun, Vincent Lu, Aaron Truong, Hermione Bossolina, Yuan Lu. 622-627 [doi]
• Survey of Visual-Semantic Embedding Methods for Zero-Shot Image RetrievalKazuya Ueki. 628-634 [doi]
• Assisted Maintenance of Automatic Reclosers with Object Detection through Mobile DevicesFrancisco Marques, Rodrigo Melo, Alano Pinto, Arthur Bastos, Samira Ribeiro, Ana Gonçalves, Flávio Reis. 635-642 [doi]
• Predicting YOLO Misdetection by Learning Grid Cell ConsensusBijay Raj Paudel, Danushka Senarathna, Haibo Wang 0005, Spyros Tragoudas, Yao Hu, Shengbing Jiang. 643-648 [doi]
• SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applicationsMehdi Mousavi, Rolando Estrada. 649-655 [doi]
• From images in the wild to video-informed image classificationMarc Böhlen, Raunaq Jain, Wawan Sujarwo, Varun Chandola. 656-661 [doi]
• Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial ImagesPierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag. 662-667 [doi]
• Efficient Deep Learning of Nonlinear Fiber-Optic Communications Using a Convolutional Recurrent Neural NetworkAbtin Shahkarami, Mansoor I. Yousefi, Yves Jaouën. 668-673 [doi]
• Game Character Facial Animation Using Actor Video Corpus and Recurrent Neural NetworksSheldon Schiffer. 674-681 [doi]
• Modeling and Predicting Online Learning Activities of Students: An HMM-LSTM based Hybrid SolutionAlexis Amezaga Hechavarria, M. Omair Shafiq. 682-687 [doi]
• Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with AttentionJoyal Raju, Yona Falinie A. Gaus, Toby P. Breckon. 688-693 [doi]
• PermeabilityNets: Comparing Neural Network Architectures on a Sequence-to-Instance Task in CFRP ManufacturingSimon Stieber, Niklas Schröter, Ewald Fauster, Alexander Schiendorfer, Wolfgang Reif. 694-697 [doi]
• Proxy Model Explanations for Time Series RNNsZach Wood-Doughty, Isabel Cachola, Mark Dredze. 698-703 [doi]
• Bidirectional Backpropagation for High-Capacity Blocking NetworksOlaoluwa Adigun, Bart Kosko. 704-709 [doi]
• Predicting Cognitive Load using Parameter-optimized CNN from Spatial-Spectral Representation of EEG RecordingsFelix Havugimana, Mohammed Bany Muhammad, Kazi Ashraf Moinudin, Mohammed Yeasin. 710-715 [doi]
• Ensembles of Long Short-Term Memory Experts for Streaming Data with Sudden Concept DriftSabine Apfeld, Alexander Charlish, Gerd Ascheid. 716-723 [doi]
• Applications of Mobile Machine Learning for Detecting Bio-energy Crops FlowersWenjun Zeng, Bakhtiar Amen. 724-729 [doi]
• Influence of Training Data on the Invertability of Neural Networks for Handwritten Digit RecognitionAntonia Adler, Michaela Geierhos, Eleanor Hobley. 730-737 [doi]
• MLCHECK- Property-Driven Testing of Machine Learning ClassifiersArnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim. 738-745 [doi]
• Instance-based Label Smoothing For Better Calibrated Classification NetworksMohamed Maher, Meelis Kull. 746-753 [doi]
• ConfusionTree-Pattern: A Hierarchical Design for an Efficient and Performant Multi-Class PatternMichele Franco Adesso, Nicola Wolpert, Elmar Schömer. 754-759 [doi]
• Detecting SSH and FTP Brute Force Attacks in Big DataJohn T. Hancock, Taghi M. Khoshgoftaar, Joffrey L. Leevy. 760-765 [doi]
• CurL-AutoML: Curriculum Learning-based AutoMLLucas Nildaimon dos Santos Silva, Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva. 766-771 [doi]
• A Contrastive Learning Approach to Auroral Identification and ClassificationJeremiah W. Johnson, Swathi Hari, Donald Hampton, Hyunju K. Connor, Amy Keesee. 772-777 [doi]
• Homogeneous Transfer Active Learning for Time Series ClassificationPatrick Kinyua Gikunda, Nicolas Jouandeau. 778-784 [doi]
• Cloud Failure Prediction with Hierarchical Temporal Memory: An Empirical AssessmentOliviero Riganelli, Paolo Saltarel, Alessandro Tundo, Marco Mobilio, Leonardo Mariani. 785-790 [doi]
• Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value ProblemsZongyu Dai, Zhiqi Bu, Qi Long. 791-798 [doi]
• Resiliency of SNN on Black-Box Adversarial AttacksBijaya Paudel, Aashish Itani, Spyros Tragoudas. 799-806 [doi]
• Detecting Information Theft Attacks in the Bot-IoT DatasetJoffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson. 807-812 [doi]
• Evolutionary Adversarial Attacks on Payment SystemsNishant Kumar, Siddharth Vimal, Kanishka Kayathwal, Gaurav Dhama. 813-818 [doi]
• Perceptually Constrained Fast Adversarial Audio AttacksJason Henry, Mehmet Ergezer, Marko Orescanin. 819-824 [doi]
• GAN Based Approach for Drug DesignAninditha Ramesh, Anusha S. Rao, Sanjana Moudgalya, K. S. Srinivas. 825-828 [doi]
• Evaluation of GAN Architectures For Visualisation of HPV Viruses From Microscopic ImagesXiaohong W. Gao, Xuesong Wen, Dong Li, Weiping Liu, Jichun Xiong, Bin Xu, Juan Liu, Heng Zhang, Xuefeng Liu. 829-833 [doi]
• Regularized Sequential Latent Variable Models with Adversarial Neural NetworksJin Huang, Ming Xiao 0001. 834-839 [doi]
• Impact of reverberation through deep neural networks on adversarial perturbationsRomain Cohendet, Miguel Solinas, Rémi Bernhard, Marina Reyboz, Pierre-Alain Moëllic, Yannick Bourrier, Martial Mermillod. 840-846 [doi]
• Semantic Segmentation of Multi-Channel Polycrystalline Structure Micrographs Using Convolutional Neural NetworksAndreas Selmaier, Benjamin Lutz, Dominik Kißkalt, Simon Börnicke, Jens Fürst, Jörg Franke. 847-852 [doi]
• Sketch2Vis: Generating Data Visualizations from Hand-drawn Sketches with Deep LearningZhongwei Teng, Quchen Fu, Jules White, Douglas C. Schmidt. 853-858 [doi]
• SwiftLane: Towards Fast and Efficient Lane DetectionOshada Jayasinghe, Damith Anhettigama, Sahan Hemachandra, Shenali Kariyawasam, Ranga Rodrigo, Peshala Jayasekara. 859-864 [doi]
• Contextual road lane and symbol generation for autonomous drivingAjay Soni, Pratik Padamwar, Krishna Reddy Konda. 865-872 [doi]
• Data-Driven State of Charge Estimation of Li-ion Batteries using Supervised Machine Learning MethodsYichun Li, Mina Maleki, Shadi Banitaan, Mingzuoyang Chen. 873-878 [doi]
• Dynamic Adjustment of Concurrent Neural Networks within Limited Power Thermal Constraints in Autonomous DrivingHee-Jun Park, Abhinav Goel. 879-884 [doi]
• Super Resolution with Sparse Gradient-Guided Attention for Suppressing Structural DistortionGeonhak Song, Tien-Dung Nguyen 0004, Junghyun Bum, Hwijong Yi, Chang-Hwan Son, Hyunseung Choo. 885-890 [doi]
• Assessment of Neural Networks for Stream-Water-Temperature PredictionStefanie Mohr, Konstantina Drainas, Jürgen Geist. 891-896 [doi]
• Voting Heterogeneous Ensemble for Code Smell DetectionHamoud Aljamaan. 897-902 [doi]
• Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural NetworksAneesh Komanduri, Justin Zhan. 903-908 [doi]
• A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election ResultsTiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista. 909-915 [doi]
• An energy-based model for neuro-symbolic reasoning on knowledge graphsDominik Dold, Josep Soler Garrido. 916-921 [doi]
• One Node at a Time: Node-Level Network ClassificationSaray Shai, Isaac Jacobs, Peter J. Mucha. 922-929 [doi]
• Homology Preserving Graph CompressionMehmet Emin Aktas, Thu Nguyen, Esra Akbas. 930-935 [doi]
• Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning ApproachOner Orhan, Vasuki Narasimha Swamy, Thomas Tetzlaff, Marcel Nassar, Hosein Nikopour, Shilpa Talwar. 936-941 [doi]
• ONTOCONNECT: Domain-Agnostic Ontology Alignment using Graph Embedding with Negative SamplingJaydeep Chakraborty, Hamada M. Zahera, Mohamed Ahmed Sherif, Srividya K. Bansal. 942-945 [doi]
• Graph Convolutional Networks for Categorizing Online Harassment on TwitterMozhgan Saeidi, Evangelos E. Milios, Norbert Zeh. 946-951 [doi]
• Visual Question Answering based on Formal LogicMuralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce. 952-957 [doi]
• Pruned Genetic-NAS on GPU Accelerator Platforms with Chaos-on-Edge HyperparametersAnand Ravishankar, Santhi Natarajan, A. Bharathi Malakreddy. 958-963 [doi]
• Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without TrainingMats L. Richter, Julius Schöning, Anna Wiedenroth, Ulf Krumnack. 964-971 [doi]
• Elastic distributed training with fast convergence and efficient resource utilizationGuojing Cong. 972-979 [doi]
• Dynamically Adapting Floating-Point Precision to Accelerate Deep Neural Network TrainingJohn Osorio Ríos, Adrià Armejach, Eric Petit, Greg Henry, Marc Casas. 980-987 [doi]
• Improved CNN classification accuracy with the addition of shallow cascading CNNsVasileios Pentsos, Bijay Raj Paudel, Spyros Tragoudas, Kiriti Nagesh Gowda, Mike Schmit. 988-991 [doi]
• Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised RepresentationsTao Sun, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu. 992-997 [doi]
• CONetV2: Efficient Auto-Channel Size Optimization for CNNsYi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis. 998-1003 [doi]
• Trajectory growth lower bounds for random sparse deep ReLU networksIlan Price, Jared Tanner. 1004-1009 [doi]
• Local Geometry Preserving Deep Networks For Featurizing High Dimensional DatasetsWalter Gerych, Jessica L. Bader, Declan Nelson, Thalia Chao-Zhang, Luke Buquicchio, Abdulaziz AlAjaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner. 1010-1015 [doi]
• Towards Sequential Multivariate Fault Prediction for Vehicular Predictive MaintenanceAbdul Basit Hafeez, Eduardo Alonso, Aram Ter-Sarkisov. 1016-1021 [doi]
• Curriculum Learning to Handle Extreme Class Imbalance for Acoustic Modeling of Forest Elephant CallsJonathan M. Gomes-Selman, Nikita Demir, Peter H. Wrege, Andreas Paepcke. 1022-1028 [doi]
• Pneumonia Detection with Game-theoretic Rough SetsSuby Singh, Jingtao Yao. 1029-1034 [doi]
• Deployment of Embedded Edge-AI for Wildlife Monitoring in Remote RegionsDaniel Schwartz, Jonathan Michael Gomes Selman, Peter Wrege, Andreas Paepcke. 1035-1042 [doi]
• Is Your Time Well Spent Online?: Focusing on Quality Experiences Through a User-Centered Recommendation Algorithm and Simulation ModelRania Islambouli, Sandy Ingram, Denis Gillet. 1043-1048 [doi]
• Theory for Deep Learning Regression Ensembles with Application to Raman Spectroscopy AnalysisWenjing Li, Randy C. Paffenroth, Michael T. Timko, Matthew P. Rando, Avery B. Brown, N. Aaron Deskins. 1049-1056 [doi]
• Optimizing Multi-Stage Hydraulic Fracturing Treatments for Economical Production in Permian Basin Using Machine LearningYanfang Wang, Jianhua Chen, Seung Kam, Anqi Bao. 1057-1062 [doi]
• Counter-factual Analysis of On-Line Math Tutoring Impact on Low-income High School StudentsMaher Alhossaini, Mohammed Aloqeely. 1063-1068 [doi]
• Multimodal Variational Autoencoders for Sensor Fusion and Cross GenerationMatthieu Da Silva-Filarder, Andrea Ancora, Maurizio Filippone, Pietro Michiardi. 1069-1076 [doi]
• Auto Encoder Based Image Inpainting Model Using Multi Layer Latent RepresentationsM. M. P. N. Walgampaya, N. D. Kodikara, P. Samarasinghe. 1077-1082 [doi]
• Distance Ordering: A Deep Supervised Metric Learning for Pain Intensity EstimationJie Ting, Yi-Cheng Yang, Li-Chen Fu, Chu-Lin Tsai, Chien-Hua Huang. 1083-1088 [doi]
• Deep Metric Learning for Code Authorship Attribution and VerificationRiley White, Nathan Sprague. 1089-1093 [doi]
• Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional AutoencoderYi Huang, Yihui Ren, Shinjae Yoo, Jin Huang. 1094-1099 [doi]
• Trade-offs in Metric Learning for Bearing Fault DiagnosisTyler Cody, Stephen C. Adams, Peter A. Beling. 1100-1105 [doi]
• In Search of Probeable Generalization MeasuresJonathan Jaegerman, Khalil Damouni, Mahdi S. Hosseini, Konstantinos N. Plataniotis. 1106-1111 [doi]
• LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese NetworkVibhav Agarwal, Sudeep Deepak Shivnikar, Sourav Ghosh, Himanshu Arora, Yashwant Saini. 1112-1117 [doi]
• Argue to Learn: Accelerated Argumentation-Based LearningH. Ayoobiy, M. Caoz, R. Verbruggey, B. Verheijy. 1118-1123 [doi]
• GraFeHTy: Graph Neural Network using Federated Learning for Human Activity RecognitionAbhishek Sarkar, Tanmay Sen, Ashis Kumar Roy. 1124-1129 [doi]
• Federated Fuzzy Learning with Imbalanced DataLukas Johannes Dust, Marina López Murcia, Andreas Mäkilä, Petter Nordin, Ning Xiong 0001, Francisco Herrera. 1130-1137 [doi]
• OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning AlgorithmsLeila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini. 1138-1145 [doi]
• Federated Deep Learning for Heterogeneous Edge ComputingKhandaker Mamun Ahmed, Ahmed Imteaj, M. Hadi Amini. 1146-1152 [doi]
• Incremental Learning Vector Auto Regression for Forecasting with Edge DevicesVenkata Pesala, Topon Paul, Ken Ueno, H. G. S. Praneeth Bugata, Ankit Kesarwani. 1153-1159 [doi]
• Data Driven football scouting assistance with simulated player performance extrapolationShantanu Ghar, Sayali Patil, Venkhatesh Arunachalam. 1160-1167 [doi]
• Active Learning to Support In-situ Process Monitoring in Additive ManufacturingSiva Krishna Dasari, Abbas Cheddad, Lars Lundberg, Jonatan Palmquist. 1168-1173 [doi]
• Federated Fine-Tuning Performance on Edge DevicesMarko Orescanin, Mehmet Ergezer, Gurminder Singh, Matthew Baxter. 1174-1181 [doi]
• Robust Thresholding Strategies for Highly Imbalanced and Noisy DataJustin M. Johnson, Taghi M. Khoshgoftaar. 1182-1188 [doi]
• Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth's auroral space weather regimesJack Ziegler, Ryan M. McGranaghan. 1189-1196 [doi]
• MetaPrep: Data preparation pipelines recommendation via meta-learningFernando Rezende Zagatti, Lucas Cardoso Silva, Lucas Nildaimon dos Santos Silva, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva. 1197-1202 [doi]
• Active Learning of Markov Decision Processes using Baum-Welch algorithmGiovanni Bacci 0001, Anna Ingólfsdóttir, Kim G. Larsen, Raphaël Reynouard. 1203-1208 [doi]
• Maximizing University Enrollment Using Institutional-Based Aid ScholarshipAhmad Slim, Don R. Hush, Tushar Ojha, Georges El-Howayek, Chaouki T. Abdallah, Terry Babbitt. 1209-1214 [doi]
• Active Learning and Machine Teaching for Online Learning: A Study of Attention and Labelling CostAgnes Tegen, Paul Davidsson, Jan A. Persson. 1215-1220 [doi]
• Semi-supervised Graph Instance Transformer for Mental Health InferenceGuimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba. 1221-1228 [doi]
• Leveraging Transformers for StarCraft Macromanagement PredictionMuhammad Junaid Khan, Shah Hassan, Gita Sukthankar. 1229-1234 [doi]
• Transformer Based Bengali Chatbot Using General Knowledge DatasetAbu Kaisar Mohammad Masum, Sheikh Abujar, Sharmin Akter, Nushrat Jahan Ria, Syed Akhter Hossain. 1235-1238 [doi]
• Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence AttentionTak-Sung Heo, Yongmin Yoo, Yeongjoon Park, Byeong-Cheol Jo, Kyounguk Lee, Kyungsun Kim. 1239-1244 [doi]
• A Transformer-based Approach for Translating Natural Language to Bash CommandsQuchen Fu, Zhongwei Teng, Jules White, Douglas C. Schmidt. 1245-1248 [doi]
• Towards Intelligent Reading through Multimodal and Contextualized Word LookUpSwetha Govindu, Raviteja Vidya Guttula, Swati Kohli, Poonam Patil, Anagha Kulkarni 0001, Ilmi Yoon. 1249-1252 [doi]
• Sentiment Analysis of StockTwits Using Transformer ModelsAysun Bozanta, Sabrina Angco, Mucahit Cevik, Ayse Basar. 1253-1258 [doi]
• Video Anomaly Detection Using Dual Discriminator Based Generative Adversarial NetworkJiaqi Xu, Zhenjiang Miao, Wanru Xu, Jiaji Wang, Qiang Zhang, Shaoyue Song. 1259-1265 [doi]
• A Validation Framework for ARP Similarity MeasureSergiu Limboi, Mara Deac-Petrusel. 1266-1271 [doi]
• How Dense Autoencoders can still Achieve the State-of-the-art in Time-Series Anomaly DetectionLouis Jensen, Jayme Fosa, Ben Teitelbaum, Peter Chin. 1272-1277 [doi]
• Conversation Clustering Adaptation for Intent RecognitionMichal Lew, Aleksander Obuchowski, Emilia Kacprzak, Agnieszka Pluwak. 1278-1285 [doi]
• Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual ExplanationsPeyman Rasouli, Ingrid Chieh Yu. 1286-1293 [doi]
• An Unsupervised Learning Methodology for Increasing Human Productivity via VR TrainingSérgio Viademonte, Bruno Duarte Gomes, Ana Carolina Quintao Siravenha, Walisson Cardoso Gomes, Caio Rodrigues, Renan Arthur Tourinho. 1294-1298 [doi]
• An HMM-ensemble approach to predict severity progression of ICU treatment for hospitalized COVID-19 patientsFederica Mandreoli, Federico Motta, Paolo Missier. 1299-1306 [doi]
• Conformal Wearable for Quantification of Dorsiflexion for a Hemiplegic Ankle Pair with Distinction by Machine LearningRobert LeMoyne, Timothy Mastroianni. 1307-1310 [doi]
• EMU: Early Mental Health Uncovering Framework and DatasetM. L. Tlachac, Ermal Toto, Joshua Lovering, Rimsha Kayastha, Nina Taurich, Elke A. Rundensteiner. 1311-1318 [doi]
• COVID-CBR: A Deep Learning Architecture Featuring Case-Based Reasoning for Classification of COVID-19 from Chest X-Ray ImagesXiaohong W. Gao, Alice Gao. 1319-1324 [doi]
• Classifying Challenging Behaviors in Autism Spectrum Disorder with Word EmbeddingsAbigail Atchison, Gabriela Pinto, Ali Woodward, Elizabeth Stevens, Dennis Dixon, Erik Linstead. 1325-1332 [doi]
• Effects of COVID-19 on individuals in Opioid Addiction RecoveryKhaled Mohammed Saifuddin, Esra Akbas, Max Khanov, Jason Beaman. 1333-1340 [doi]
• Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis MutationsAlvaro David Orjuela-Cañón, Juan Carlos Figueroa García, Roman Neruda. 1341-1344 [doi]
• Deep Learning Applied on Renewable Energy Forecasting Towards Supply-Demand MatchingAbdulaziz Almalaq, Aymen Alshammarry, Bader Al-Anzi, Fahad Alharbi, Mohammed Alshudukhi. 1345-1349 [doi]
• Data-driven and Automatic Surface Texture Analysis Using Persistent HomologyMelih C. Yesilli, Firas A. Khasawneh. 1350-1356 [doi]
• ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble SystemsPeter Domanski, Dirk Pflüger, Raphaël Latty, Jochen Rivoir. 1357-1364 [doi]
• Verifying the Applicability of Synthetic Image Generation for Object Detection in Industrial Quality InspectionMajid Shirazi, Markus Schmitz, Simon Janssen, Anabelle Thies, Georgij Safronov, Amr Rizk, Peter Mayr, Philipp Engelhardt. 1365-1372 [doi]
• Shapelets-based Data Augmentation for Time Series ClassificationPeiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi. 1373-1378 [doi]
• Machine Learning Model Update Strategies for Hard Disk Drive Failure PredictionMarwin Züfle, Florian Erhard, Samuel Kounev. 1379-1386 [doi]
• Deep Neural Networks for Detecting Asteroids in the ATLAS Data PipelineNoah Kaplan, Rohan Loveland, Larry Denneau. 1387-1392 [doi]
• Towards Building A Robust Large-Scale Bangla Text Recognition Solution Using A Unique Multiple-Domain Character-Based Document Recognition ApproachA. K. M. Shahariar Azad Rabby, Md. Majedul Islam, Zahidul Islam, Nazmul Hasan, Fuad Rahman. 1393-1399 [doi]
• Temporal Bottleneck Attention for Video RecognitionSchubert R. Carvalho, Nicolas M. Bertagnolli, Tyler Folkman. 1400-1406 [doi]
• Deeper Neural Networks with Non-Vanishing Logistic Hidden Units: NoVa vs. ReLU NeuronsOlaoluwa Adigun, Bart Kosko. 1407-1412 [doi]
• Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing ScenariosJames Spooner, Vasile Palade, Alireza Daneshkhah, Stratis Kanarachos. 1413-1420 [doi]
• Alternate Model Growth and Pruning for Efficient Training of Recommendation SystemsXiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, JongSoo Park, Yu Cao 0001, Arun Kejariwal. 1421-1428 [doi]
• Learn to Trace Odors: Autonomous Odor Source Localization via Deep Learning MethodsLingxiao Wang, Shuo Pang, Jinlong Li. 1429-1436 [doi]
• PrunedCaps: A Case For Primary Capsules DiscriminationRamin Sharifi, Pouya Shiri, Amirali Baniasadi. 1437-1442 [doi]
• A Machine Learning Approach for Predicting Deterioration in Alzheimer's DiseaseHenry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl. 1443-1448 [doi]
• Towards Understanding the Psychological Effects of the COVID-19 Pandemic on the Indian PopulationDeepanshu Pandey, Pranav Khurana, Ashwin Misra. 1449-1454 [doi]
• Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small DatasetWeijun Tan, Hongwei Guo. 1455-1460 [doi]
• Decoder Transformer for Temporally-Embedded Health Outcome PredictionsOmar Boursalie, Reza Samavi, Thomas E. Doyle. 1461-1467 [doi]
• Text Mining Approach To Predict Non-AdherenceYufan Wang, Mahsa Mohaghegh. 1468-1471 [doi]
• Explainable Zero-Shot Modelling of Clinical Depression Symptoms from TextNawshad Farruque, Randy Goebel, Osmar R. Zaïane, Sudhakar Sivapalan. 1472-1477 [doi]
• A Deep Learning-based Approach for Real-time Facemask DetectionWadii Boulila, Ayyub Alzahem, Aseel Almoudi, Muhanad Afifi, Ibrahim Alturki, Maha Driss. 1478-1481 [doi]
• Learning from Limited Data for Speech-based Traumatic Brain Injury (TBI) DetectionApiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert. 1482-1486 [doi]
• Automated Hand Osteoarthritis Classification Using Convolutional Neural NetworksCarmine Guida, Ming Zhang, Jordan Blackadar, Zilong Yang, Jeffrey B. Driban, Jeffrey W. Duryea, Lena Schaefer, Charles B. Eaton, Timothy E. McAlindon, Juan Shan. 1487-1494 [doi]
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• End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge DevicesSideshwar J. B, Sachin Krishan T, Vishal Nagarajan, Shanthakumar S, Vineeth Vijayaraghavan. 1501-1506 [doi]
• Learning Medical Risk Scores for Pediatric AppendicitisPedro Roig Aparicio, Ricards Marcinkevics, Patricia Reis Wolfertstetter, Sven Wellmann, Christian Knorr, Julia E. Vogt. 1507-1512 [doi]
• Condition Monitoring for Power Converters via Deep One-Class ClassificationNikola Markovic, Daniel Vahle, Volker Staudt, Dorothea Kolossa. 1513-1520 [doi]
• Understanding Traffic Cruising Causation Via Parking Data EnhancementMirza Jasarevic, Veselka Boeva, Fredrik Sjölin, Per-Olav Gramstad. 1521-1528 [doi]
• Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasetsPaul Audin, Inès Jorge, Tedjani Mesbahi, Ahmed Samet, François de Bertrand de Beuvron, Romuald Boné. 1529-1536 [doi]
• Deep Learning for Range Localization via Over-Water Electromagnetic SignalsEvan Witz, Maria Barger, Randy C. Paffenroth. 1537-1544 [doi]
• Catch Weight Prediction for Multi-Species Fishing using Artificial Neural NetworksTianbai Chen, Li Zhong, Naweiluo Zhou, Dennis Hoppe. 1545-1552 [doi]
• Size Does Matter: Overcoming Limitations during Training when using a Feature Pyramid NetworkFabian Fallas-Moya, Manfred Gonzalez-Hernandez, Amir Sadovnik. 1553-1560 [doi]
• Aspect Oriented Suggestion Extraction from Online ReviewsTharushi Jayasekara, Ruvan Weerasinghe, Viraj Welgama. 1561-1568 [doi]
• A proposal to identify stakeholders from news for the institutional relationship management activities of an institution based on Named Entity Recognition using BERTEric Hans Messias Da Silva, João Laterza, Marcos Paulo Pereira Da Silva, Marcelo Ladeira. 1569-1575 [doi]
• SP-GPT2: Semantics Improvement in Vietnamese Poetry GenerationTuan Nguyen, Phong Nguyen, Hanh Pham, Truong Bui, Tan Nguyen, Duc Luong. 1576-1581 [doi]
• Detecting Offensive Content on Twitter During Proud Boys RiotsMd Fahim, Swapna S. Gokhale. 1582-1587 [doi]
• AuTGeLy: Automatic Title Generator based on Song Lyrics ExtractionsDiego Vallejo-Huanga, Esteban Carrera, Jonathan Mañay. 1588-1593 [doi]
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• Automating Questions and Answers of Good and Services Tax system using clustering and embeddings of queriesPankaj Dikshit, B. Chandra 0001, M. P. Gupta 0001. 1630-1633 [doi]
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• Kernel Factorisation MachinesFrancois Buet-Golfouse, Islam Utyagulov. 1755-1760 [doi]
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