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ORCID20th ICMLA 2021: Pasadena, CA, USA
- M. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin:
20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021. IEEE 2021, ISBN 978-1-6654-4337-1 - Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci:
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. 1-8 - Basemah Alshemali, Jugal Kalita:
Character-level Adversarial Examples in Arabic. 9-14 - Henry Eigen, Amir Sadovnik:
TopKConv: Increased Adversarial Robustness Through Deeper Interpretability. 15-22 - Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana:
Universal Adversarial Attack on Deep Learning Based Prognostics. 23-29 - Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar:
Feature Popularity Between Different Web Attacks with Supervised Feature Selection Rankers. 30-37 - Aashish Rai, Clara Ducher, Jeremy R. Cooperstock:
Improved Attribute Manipulation in the Latent Space of StyleGAN for Semantic Face Editing. 38-43 - Philipp Viertel, Matthias König
, Jan Rexilius:
PollenGAN: Synthetic Pollen Grain Image Generation for Data Augmentation. 44-49 - Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker:
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. 50-56 - Sandeep Chinnareddy, Pranav Grandhi, Apurva Narayan:
Self-Attention Mechanism in GANs for Molecule Generation. 57-60 - Jérôme Buisine, Fabien Teytaud, Samuel Delepoulle, Christophe Renaud:
Guided-Generative Network for noise detection in Monte-Carlo rendering. 61-66 - Ying Li, Alexander Ding, Yu Cao, Benyuan Liu, Shuijiao Chen, Xiaowei Liu:
Detection of Endoscope Withdrawal Time in Colonoscopy Videos. 67-74 - Qian Wang, Toby P. Breckon:
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. 75-82 - Xinhui Zhao, Kai Tang, Kazushige Ouchi:
ME-TSRN for Thermal Sensation Recognition via Facial Micro-expression. 83-88 - Monica Krishnamoorthy, Mohammed Sharafath Abdul Hameed, Thomas Kopinski, Andreas Schwung:
Disease Prediction Based on Individual's Medical History Using CNN. 89-94 - Erkai Li, Huiming Tang:
A Novel Convolutional Neural Network For Pavement Crack Segmentation. 95-99 - Benjamin Parfitt, Tejaishwarya Gagadam:
CiPSI and CiPSINet: a New Dataset and Network for Finding Cars in Panchromatic Satellite Images. 100-107 - Marc Wenninger, Sebastian P. Bayerl, Andreas Maier, Jochen Schmidt:
Recurrence Plot Spacial Pyramid Pooling Network for Appliance Identification in Non-Intrusive Load Monitoring. 108-115 - Venkat Margapuri, Niketa Penumajji, Mitchell L. Neilsen:
Seed Classification using Synthetic Image Datasets Generated from Low-Altitude UAV Imagery. 116-121 - Milan Aryal, Nasim Yahyasoltani:
Identifying Catheter and Line Position in Chest X-Rays Using GANs. 122-127 - Rene Garcia Franceschini, Jeffrey Liu, Saurabh Amin:
Damage Estimation and Localization from Sparse Aerial Imagery. 128-134 - Hans Hao-Hsun Hsu, Jiawen Xu, Ravi Sama, Matthias Kovatsch:
Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection. 135-142 - Chunchun Li, Manuel Günther, Terrance E. Boult:
ComFu: Improving Visual Clustering by Commonality Fusion. 143-150 - Marcus Hägglund, Francisco J. Peña, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah:
COCLUBERT: Clustering Machine Learning Source Code. 151-158 - Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren:
Novelty-based Generalization Evaluation for Traffic Light Detection. 159-165 - Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler:
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. 166-172 - Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah:
Multi-Slice Clustering for 3-order Tensor. 173-178 - Matías Tailanián, Pablo Musé, Álvaro Pardo:
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection. 179-184 - Yasutaka Furusho, Shuhei Nitta, Yukinobu Sakata:
Kernel ridge reconstruction for anomaly detection: general and low computational reconstruction. 185-190 - Vishwa Sai Kodiyala, Robert E. Mercer:
Emotion Recognition and Sentiment Classification using BERT with Data Augmentation and Emotion Lexicon Enrichment. 191-198 - Saeid Pourroostaei Ardakani, Can Zhou, Xuting Wu, Yingrui Ma, Jizhou Che:
A Data-driven Affective Text Classification Analysis. 199-204 - Fahim Shahriar Khan, Mueeze Al Mushabbir, Mohammad Sabik Irbaz, Md Abdullah Al Nasim:
End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents. 205-210 - J. T. Charith Gunasekara, Tobias Carryer, Matthew Triff:
On Natural Language Processing Applications for Military Dialect Classification. 211-218 - Connor Shorten, Taghi M. Khoshgoftaar:
KerasBERT: Modeling the Keras Language. 219-226 - Rishab Sharma, Fatemeh H. Fard, Apurva Narayan:
Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms. 227-232 - Mingqi Li, Song Liao, Ebuka Okpala, Max Tong, Matthew Costello, Long Cheng, Hongxin Hu, Feng Luo:
COVID-HateBERT: a Pre-trained Language Model for COVID-19 related Hate Speech Detection. 233-238 - Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi:
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. 239-243 - Alan Firmiano, Ticiana L. Coelho da Silva:
Identifying Duplicate Police Reports. 244-247 - Aviv Peled, Shai Fine:
Discrete Latent Variables Discovery and Structure Learning in Mixed Bayesian Networks. 248-255 - Kihyung Joo, Simon S. Woo:
IVDR: Imitation learning with Variational inference and Distributional Reinforcement learning to find Optimal Driving Strategy. 256-262 - Berry Weinstein, Shai Fine, Yacov Hel-Or:
Pairwise Margin Maximization for Deep Neural Networks. 263-270 - Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi:
Progressive Transmission and Inference of Deep Learning Models. 271-277 - Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes:
An Effective Baseline for Robustness to Distributional Shift. 278-285 - Xudong Liu:
On Learning Probabilistic Partial Lexicographic Preference Trees. 286-291 - Mirantha Jayathilaka, Tingting Mu, Uli Sattler:
Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept Embeddings. 292-297 - Narges Manouchehri, Nizar Bouguila, Wentao Fan:
Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions. 298-303 - Yixiao Zhang, Baihua Li, Hui Fang, Qinggang Meng:
Current Advances on Deep Learning-based Human Action Recognition from Videos: a Survey. 304-311 - Derek Gloudemans, Daniel B. Work:
Vehicle Tracking with Crop-based Detection. 312-319 - Runfeng Miao, Solaiman Shokur, Andrea Cristina De Lima Pardini, Daniel Boari, Mohamed Bouri:
Detecting Freezing of Gait in Parkinson's Disease Patient via Deep Residual Network. 320-325 - Niall Lyons, Avik Santra, Ashutosh Pandey:
Improved Deep Representation Learning for Human Activity Recognition using IMU Sensors. 326-332 - Kristina Kirsten, Bjarne Pfitzner, Lando Löper, Bert Arnrich:
Sensor-Based Obsessive-Compulsive Disorder Detection With Personalised Federated Learning. 333-339 - Chih-Yang Lin, Shang-Chian Yang, Hui-Fuang Ng, Wei-Yang Lin:
Enhancing Siamese Visual Tracking With Background Relations. 340-344 - Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces. 345-350 - Didier Lopes, Grant Trewartha:
Step Detection using SVM on NURVV Trackers. 351-356 - Jia Wang, Hongwei Zhu, Jiancheng Shen, Yu Cao, Benyuan Liu:
Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements. 357-364 - Haoran Wang, Shi Yu:
Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning. 365-372 - Delton Myalil, M. A. Rajan, Manoj Apte, Sachin Lodha:
Robust Collaborative Fraudulent Transaction Detection using Federated Learning. 373-378 - Amish Garg, Tanav Shah, Vinay Kumar Jain, Raksha Sharma:
CrypTop12: A Dataset For Cryptocurrency Price Movement Prediction From Tweets And Historical Prices. 379-384 - Lord Flaubert Steve Ataucuri Cruz, Diego Furtado Silva:
Financial Time Series Forecasting Enriched with Textual Information. 385-390 - Aditya Singh, Anubhav Gupta, Hardik Wadhwa, Siddhartha Asthana, Ankur Arora:
Temporal Debiasing using Adversarial Loss based GNN architecture for Crypto Fraud Detection. 391-396 - Ye-Sheen Lim, Denise Gorse:
Intra-Day Price Simulation with Generative Adversarial Modelling of the Order Flow. 397-402 - Sarah Tymochko, Julien Chaput, Timothy Doster, Emilie Purvine, Jackson Warley, Tegan Emerson:
Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis. 403-408 - Lalasa Dheekollu, Hardik Wadhwa, Siddharth Vimal, Anubhav Gupta, Siddhartha Asthana, Ankur Arora, Smriti Gupta:
Modeling approaches for Silent Attrition prediction in Payment networks. 409-414 - Ahmad Slim, Husain Al Yusuf, Nadine Abbas, Chaouki T. Abdallah, Gregory L. Heileman, Ameer Slim:
A Markov Decision Processes Modeling for Curricular Analytics. 415-421 - Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl:
Deep Semi-supervised Learning for Time Series Classification. 422-428 - Zerong Xi, Gita Sukthankar:
Estimating the Variance of Return Sequences for Exploration. 429-434 - Ali Ahsan Muhummad Muzaheed, Shah Muhammad Hamdi, Soukaïna Filali Boubrahimi:
Sequence Model-based End-to-End Solar Flare Classification from Multivariate Time Series Data. 435-440 - Adrien 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 Tabti, Julien Budynek, Pauline Le Bouteiller, Antonin Penon, Raphaël-David Lasseri, Julien Ripoche, Thomas E. Epalle:
Aircraft Numerical "Twin": A Time Series Regression Competition. 441-448 - Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals. 449-454 - Victor Elijah Adeyemo, Anna Palczewska, Ben Jones:
LCCspm: l-Length Closed Contiguous Sequential Patterns Mining Algorithm to Find Frequent Athlete Movement Patterns from GPS. 455-460 - Jackson Cates, Randy C. Hoover, Kyle A. Caudle, Riley Kopp, Cagri Ozdemir:
Transform-Based Tensor Auto Regression for Multilinear Time Series Forecasting. 461-466 - Shain Shahid Chowdhury, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Time Series Data Augmentation using Time-Warped Auto-Encoders. 467-470 - Daniel Fernández, Fernando Fernández, Javier García:
Probabilistic Multi-knowledge Transfer in Reinforcement Learning. 471-476 - Helik Kanti Thacker, Atishay Kumar, Adrita Barari, Damini, Ankit Gupta, Keerthi Kiran Jagannathachar, Deokgu Yoon:
AlphaRA: An AlphaZero based approach to Redundancy Analysis. 477-483 - Yongzhao Wang, Arunesh Sinha, Sky CH-Wang, Michael P. Wellman:
Building Action Sets in a Deep Reinforcement Learner. 484-489 - Inhee Park, Teng-Sheng Moh:
Multi-Agent Deep Reinforcement Learning for Walker Systems. 490-495 - Tegg Tae Kyong Sung, Bo Ryu:
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning. 496-501 - Juan Manuel Parrilla Gutierrez:
Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement Learning. 502-506 - Arthur Müller, Vishal Rangras, Tobias Ferfers, Florian Hufen, Lukas Schreckenberg, Jürgen Jasperneite, Georg Schnittker, Michael Waldmann, Maxim Friesen, Marco A. Wiering:
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control. 507-514 - Lixing Song, Junheng Wang, Junhong Xu:
A Data-Efficient Reinforcement Learning Method Based on Local Koopman Operators. 515-520 - Md. Hasan Tarek, Md. Eusha Kadir, Sadia Sharmin, Abu Ashfaqur Sajib, Amin Ahsan Ali, Mohammad Shoyaib:
Feature Subset Selection based on Redundancy Maximized Clusters. 521-526 - Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle:
Fast Tensor Singular Value Decomposition Using the Low-Resolution Features of Tensors. 527-533 - Joonho Lee, Su Jeong Song:
SUPRDAD: A Robust Feature Extractor Better Recognizes Low-Prevalent Retinal Diseases. 534-540 - Vaskar Nath, David Sheldon, John Alphonso-Gibbs:
Principal Component Analysis and Entropy-based Selection for the Improvement of Bug Triage. 541-546 - Kazushi Ninomiya, Masakazu Hirokawa, Kenji Suzuki:
Use of Embedding Spaces for Transferring Robot Skills in Diverse Sensor Settings. 547-551 - Marzieh Mousavian, Jianhua Chen, Steven G. Greening:
Depression Detection Using Combination of sMRI and fMRI Image Features. 552-557 - Jan-Christoph Schmitz, Adrian Bauer, Anton Kummert:
Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-Processing. 558-563 - Nikolai Körber, Andreas Siebert, Sascha Hauke, Daniel Mueller-Gritschneder:
Tiny Generative Image Compression for Bandwidth-Constrained Sensor Applications. 564-569 - Jin Li, Yixin Liu, Jingquan Wu:
Identification and validation of a radiomic signature for predicting survival outcomes in non-small-cell lung cancer treated with radiation therapy. 570-574 - Sandeep S. Mittal, Jack Rothberg, Kanad Ghose:
Deep Learning for Morphological Arrhythmia Classification in Encoded ECG Signal. 575-581 - Liam A. Kruse, Allan L. Reiss, Mykel J. Kochenderfer, Stephanie Balters:
Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data. 582-588 - Patrick Bujok, Maria Jensen, Steffen M. Larsen, Robert A. Alphinas:
Outperforming Clinical Practices in Breast Cancer Detection: A Superior Dense Neural Network in Classification and False Negative Reduction. 589-594 - Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner:
Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews. 595-600 - Yuehan Yin, Yahya Alqahtani, Jinjuan Heidi Feng, Joyram Chakraborty, Michael P. McGuire:
Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking Sequences. 601-605 - Victor Akpokiro, Oluwatosin Oluwadare, Jugal Kalita:
DeepSplicer: An Improved Method of Splice Sites Prediction using Deep Learning. 606-609 - Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon:
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. 610-615 - Milad Niknejad, Alexandre Bernardino:
Attention on Classification for Fire Segmentation. 616-621 - Weilin Sun, Vincent Lu, Aaron Truong, Hermione Bossolina, Yuan Lu:
Purrai: A Deep Neural Network based Approach to Interpret Domestic Cat Language. 622-627 - Kazuya Ueki:
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval. 628-634 - Francisco Marques, Rodrigo Melo, Alano Martins Pinto, Arthur Bastos, Samira Ribeiro, Ana Gonçalves, Flávio Reis:
Assisted Maintenance of Automatic Reclosers with Object Detection through Mobile Devices. 635-642 - Bijay Raj Paudel, Danushka Senarathna, Haibo Wang, Spyros Tragoudas, Yao Hu, Shengbing Jiang:
Predicting YOLO Misdetection by Learning Grid Cell Consensus. 643-648 - Mehdi Mousavi, Rolando Estrada:
SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications. 649-655 - Marc Böhlen, Raunaq Jain, Wawan Sujarwo, Varun Chandola:
From images in the wild to video-informed image classification. 656-661 - Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag:
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. 662-667 - Abtin Shahkarami, Mansoor I. Yousefi, Yves Jaouën:
Efficient Deep Learning of Nonlinear Fiber-Optic Communications Using a Convolutional Recurrent Neural Network. 668-673 - Sheldon Schiffer:
Game Character Facial Animation Using Actor Video Corpus and Recurrent Neural Networks. 674-681 - Alexis Amezaga Hechavarria, M. Omair Shafiq:
Modeling and Predicting Online Learning Activities of Students: An HMM-LSTM based Hybrid Solution. 682-687 - Joyal Raju, Yona Falinie A. Gaus, Toby P. Breckon:
Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention. 688-693 - Simon Stieber, Niklas Schröter, Ewald Fauster, Alexander Schiendorfer, Wolfgang Reif:
PermeabilityNets: Comparing Neural Network Architectures on a Sequence-to-Instance Task in CFRP Manufacturing. 694-697 - Zach Wood-Doughty, Isabel Cachola, Mark Dredze:
Proxy Model Explanations for Time Series RNNs. 698-703 - Olaoluwa Adigun, Bart Kosko:
Bidirectional Backpropagation for High-Capacity Blocking Networks. 704-709 - Felix Havugimana, Mohammed Bany Muhammad, Kazi Ashraf Moinudin, Mohammed Yeasin:
Predicting Cognitive Load using Parameter-optimized CNN from Spatial-Spectral Representation of EEG Recordings. 710-715 - Sabine Apfeld, Alexander Charlish, Gerd Ascheid:
Ensembles of Long Short-Term Memory Experts for Streaming Data with Sudden Concept Drift. 716-723 - Wenjun Zeng, Bakhtiar Amen:
Applications of Mobile Machine Learning for Detecting Bio-energy Crops Flowers. 724-729 - Antonia Adler, Michaela Geierhos, Eleanor Hobley:
Influence of Training Data on the Invertability of Neural Networks for Handwritten Digit Recognition. 730-737 - Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim:
MLCHECK- Property-Driven Testing of Machine Learning Classifiers. 738-745 - Mohamed Maher, Meelis Kull:
Instance-based Label Smoothing For Better Calibrated Classification Networks. 746-753 - Michele Franco Adesso, Nicola Wolpert, Elmar Schömer:
ConfusionTree-Pattern: A Hierarchical Design for an Efficient and Performant Multi-Class Pattern. 754-759 - John T. Hancock, Taghi M. Khoshgoftaar, Joffrey L. Leevy:
Detecting SSH and FTP Brute Force Attacks in Big Data. 760-765 - Lucas Nildaimon dos Santos Silva, Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva:
CurL-AutoML: Curriculum Learning-based AutoML. 766-771 - Jeremiah W. Johnson, Swathi Hari, Donald Hampton, Hyunju K. Connor, Amy Keesee:
A Contrastive Learning Approach to Auroral Identification and Classification. 772-777 - Patrick Kinyua Gikunda, Nicolas Jouandeau:
Homogeneous Transfer Active Learning for Time Series Classification. 778-784 - Oliviero Riganelli, Paolo Saltarel, Alessandro Tundo, Marco Mobilio, Leonardo Mariani:
Cloud Failure Prediction with Hierarchical Temporal Memory: An Empirical Assessment. 785-790 - Zongyu Dai, Zhiqi Bu, Qi Long:
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems. 791-798 - Bijay Raj Paudel, Aashish Itani, Spyros Tragoudas:
Resiliency of SNN on Black-Box Adversarial Attacks. 799-806 - Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson:
Detecting Information Theft Attacks in the Bot-IoT Dataset. 807-812 - Nishant Kumar, Siddharth Vimal, Kanishka Kayathwal, Gaurav Dhama:
Evolutionary Adversarial Attacks on Payment Systems. 813-818 - Jason Henry, Mehmet Ergezer, Marko Orescanin:
Perceptually Constrained Fast Adversarial Audio Attacks. 819-824 - Aninditha Ramesh, Anusha S. Rao, Sanjana Moudgalya, K. S. Srinivas:
GAN Based Approach for Drug Design. 825-828 - Xiaohong W. Gao, Xuesong Wen, Dong Li, Weiping Liu, Jichun Xiong, Bin Xu, Juan Liu, Heng Zhang, Xuefeng Liu:
Evaluation of GAN Architectures For Visualisation of HPV Viruses From Microscopic Images. 829-833 - Jin Huang, Ming Xiao:
Regularized Sequential Latent Variable Models with Adversarial Neural Networks. 834-839 - Romain Cohendet, Miguel Solinas, Rémi Bernhard, Marina Reyboz, Pierre-Alain Moëllic, Yannick Bourrier, Martial Mermillod:
Impact of reverberation through deep neural networks on adversarial perturbations. 840-846 - Andreas Selmaier, Benjamin Lutz, Dominik Kißkalt, Simon Börnicke, Jens Fürst, Jörg Franke:
Semantic Segmentation of Multi-Channel Polycrystalline Structure Micrographs Using Convolutional Neural Networks. 847-852 - Zhongwei Teng, Quchen Fu, Jules White, Douglas C. Schmidt:
Sketch2Vis: Generating Data Visualizations from Hand-drawn Sketches with Deep Learning. 853-858 - Oshada Jayasinghe, Damith Anhettigama, Sahan Hemachandra, Shenali Kariyawasam, Ranga Rodrigo, Peshala Jayasekara:
SwiftLane: Towards Fast and Efficient Lane Detection. 859-864 - Ajay Soni, Pratik Padamwar, Krishna Reddy Konda:
Contextual road lane and symbol generation for autonomous driving. 865-872 - Yichun Li, Mina Maleki, Shadi Banitaan, Mingzuoyang Chen:
Data-Driven State of Charge Estimation of Li-ion Batteries using Supervised Machine Learning Methods. 873-878 - Hee Jun Park, Abhinav Goel:
Dynamic Adjustment of Concurrent Neural Networks within Limited Power Thermal Constraints in Autonomous Driving. 879-884 - Geonhak Song, Tien-Dung Nguyen, Junghyun Bum, Hwijong Yi, Chang-Hwan Son, Hyunseung Choo:
Super Resolution with Sparse Gradient-Guided Attention for Suppressing Structural Distortion. 885-890 - Stefanie Mohr, Konstantina Drainas, Jürgen Geist:
Assessment of Neural Networks for Stream-Water-Temperature Prediction. 891-896 - Hamoud Aljamaan:
Voting Heterogeneous Ensemble for Code Smell Detection. 897-902 - Aneesh Komanduri, Justin Zhan:
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks. 903-908 - Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista:
A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results. 909-915 - Dominik Dold, Josep Soler Garrido:
An energy-based model for neuro-symbolic reasoning on knowledge graphs. 916-921 - Saray Shai, Isaac Jacobs, Peter J. Mucha:
One Node at a Time: Node-Level Network Classification. 922-929 - Mehmet Emin Aktas, Thu Nguyen, Esra Akbas:
Homology Preserving Graph Compression. 930-935 - Oner Orhan, Vasuki Narasimha Swamy, Thomas Tetzlaff, Marcel Nassar, Hosein Nikopour, Shilpa Talwar:
Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach. 936-941 - Jaydeep Chakraborty, Hamada M. Zahera, Mohamed Ahmed Sherif, Srividya K. Bansal:
ONTOCONNECT: Domain-Agnostic Ontology Alignment using Graph Embedding with Negative Sampling. 942-945 - Mozhgan Saeidi, Evangelos E. Milios, Norbert Zeh:
Graph Convolutional Networks for Categorizing Online Harassment on Twitter. 946-951 - Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce:
Visual Question Answering based on Formal Logic. 952-957 - Anand Ravishankar, Santhi Natarajan, A. Bharathi Malakreddy:
Pruned Genetic-NAS on GPU Accelerator Platforms with Chaos-on-Edge Hyperparameters. 958-963 - Mats L. Richter, Julius Schöning, Anna Wiedenroth, Ulf Krumnack:
Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training. 964-971 - Guojing Cong:
Elastic distributed training with fast convergence and efficient resource utilization. 972-979 - John Osorio Ríos, Adrià Armejach, Eric Petit, Greg Henry, Marc Casas:
Dynamically Adapting Floating-Point Precision to Accelerate Deep Neural Network Training. 980-987 - Vasileios Pentsos, Bijay Raj Paudel, Spyros Tragoudas, Kiriti Nagesh Gowda, Mike Schmit:
Improved CNN classification accuracy with the addition of shallow cascading CNNs. 988-991 - Tao Sun, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu:
Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations. 992-997 - Yi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
CONetV2: Efficient Auto-Channel Size Optimization for CNNs. 998-1003 - Ilan Price, Jared Tanner:
Trajectory growth lower bounds for random sparse deep ReLU networks. 1004-1009 - Walter Gerych, Jessica L. Bader, Declan Nelson, Thalia Chao-Zhang, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Local Geometry Preserving Deep Networks For Featurizing High Dimensional Datasets. 1010-1015 - Abdul Basit Hafeez, Eduardo Alonso, Aram Ter-Sarkisov:
Towards Sequential Multivariate Fault Prediction for Vehicular Predictive Maintenance. 1016-1021 - Jonathan Michael Gomes Selman, Nikita Demir, Peter H. Wrege, Andreas Paepcke:
Curriculum Learning to Handle Extreme Class Imbalance for Acoustic Modeling of Forest Elephant Calls. 1022-1028 - Suby Singh, JingTao Yao:
Pneumonia Detection with Game-theoretic Rough Sets. 1029-1034 - Daniel Schwartz, Jonathan Michael Gomes Selman, Peter H. Wrege, Andreas Paepcke:
Deployment of Embedded Edge-AI for Wildlife Monitoring in Remote Regions. 1035-1042 - Rania Islambouli, Sandy Ingram, Denis Gillet:
Is Your Time Well Spent Online?: Focusing on Quality Experiences Through a User-Centered Recommendation Algorithm and Simulation Model. 1043-1048 - Wenjing Li, Randy C. Paffenroth, Michael T. Timko, Matthew P. Rando, Avery B. Brown, N. Aaron Deskins:
Theory for Deep Learning Regression Ensembles with Application to Raman Spectroscopy Analysis. 1049-1056 - Yanfang Wang, Jianhua Chen, Seung Kam, Anqi Bao:
Optimizing Multi-Stage Hydraulic Fracturing Treatments for Economical Production in Permian Basin Using Machine Learning. 1057-1062 - Maher Alhossaini, Mohammed Aloqeely:
Counter-factual Analysis of On-Line Math Tutoring Impact on Low-income High School Students. 1063-1068 - Matthieu Da Silva-Filarder, Andrea Ancora, Maurizio Filippone, Pietro Michiardi:
Multimodal Variational Autoencoders for Sensor Fusion and Cross Generation. 1069-1076 - M. M. P. N. Walgampaya, Nihal D. Kodikara, Pradeepa Samarasinghe:
Auto Encoder Based Image Inpainting Model Using Multi Layer Latent Representations. 1077-1082 - Jie Ting, Yi-Cheng Yang, Li-Chen Fu, Chu-Lin Tsai, Chien-Hua Huang:
Distance Ordering: A Deep Supervised Metric Learning for Pain Intensity Estimation. 1083-1088 - Riley White, Nathan Sprague:
Deep Metric Learning for Code Authorship Attribution and Verification. 1089-1093 - Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang:
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder. 1094-1099 - Tyler Cody, Stephen C. Adams, Peter A. Beling:
Trade-offs in Metric Learning for Bearing Fault Diagnosis. 1100-1105 - Jonathan Jaegerman, Khalil Damouni, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
In Search of Probeable Generalization Measures. 1106-1111 - Vibhav Agarwal, Sudeep Deepak Shivnikar, Sourav Ghosh, Himanshu Arora, Yashwant Saini:
LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network. 1112-1117 - Hamed Ayoobi, Ming Cao, Rineke Verbrugge, Bart Verheij:
Argue to Learn: Accelerated Argumentation-Based Learning. 1118-1123 - Abhishek Sarkar, Tanmay Sen, Ashis Kumar Roy:
GraFeHTy: Graph Neural Network using Federated Learning for Human Activity Recognition. 1124-1129 - Lukas Johannes Dust, Marina López Murcia, Andreas Mäkilä, Petter Nordin, Ning Xiong, Francisco Herrera:
Federated Fuzzy Learning with Imbalanced Data. 1130-1137 - Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini:
OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms. 1138-1145 - Khandaker Mamun Ahmed, Ahmed Imteaj, M. Hadi Amini:
Federated Deep Learning for Heterogeneous Edge Computing. 1146-1152 - Venkata Pesala, Topon Kumar Paul, Ken Ueno, H. G. S. Praneeth Bugata, Ankit Kesarwani:
Incremental Learning Vector Auto Regression for Forecasting with Edge Devices. 1153-1159 - Shantanu Ghar, Sayali Patil, Venkhatesh Arunachalam:
Data Driven football scouting assistance with simulated player performance extrapolation. 1160-1167 - Siva Krishna Dasari, Abbas Cheddad, Lars Lundberg, Jonatan Palmquist:
Active Learning to Support In-situ Process Monitoring in Additive Manufacturing. 1168-1173 - Marko Orescanin, Mehmet Ergezer, Gurminder Singh, Matthew Baxter:
Federated Fine-Tuning Performance on Edge Devices. 1174-1181 - Justin M. Johnson, Taghi M. Khoshgoftaar:
Robust Thresholding Strategies for Highly Imbalanced and Noisy Data. 1182-1188 - Jack Ziegler, Ryan M. McGranaghan:
Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth's auroral space weather regimes. 1189-1196 - Fernando Rezende Zagatti, Lucas Cardoso Silva, Lucas Nildaimon dos Santos Silva, Bruno Silva Sette, Helena de Medeiros Caseli, Daniel Lucrédio, Diego Furtado Silva:
MetaPrep: Data preparation pipelines recommendation via meta-learning. 1197-1202 - Giovanni Bacci, Anna Ingólfsdóttir, Kim G. Larsen, Raphaël Reynouard:
Active Learning of Markov Decision Processes using Baum-Welch algorithm. 1203-1208 - Ahmad Slim, Don R. Hush, Tushar Ojha, Georges El-Howayek, Chaouki T. Abdallah, Terry Babbitt:
Maximizing University Enrollment Using Institutional-Based Aid Scholarship. 1209-1214 - Agnes Tegen, Paul Davidsson, Jan A. Persson:
Active Learning and Machine Teaching for Online Learning: A Study of Attention and Labelling Cost. 1215-1220 - Guimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba:
Semi-supervised Graph Instance Transformer for Mental Health Inference. 1221-1228 - Muhammad Junaid Khan, Shah Hassan, Gita Sukthankar:
Leveraging Transformers for StarCraft Macromanagement Prediction. 1229-1234 - Abu Kaisar Mohammad Masum, Sheikh Abujar, Sharmin Akter, Nushrat Jahan Ria, Syed Akhter Hossain:
Transformer Based Bengali Chatbot Using General Knowledge Dataset. 1235-1238 - Tak-Sung Heo, Yongmin Yoo, Yeongjoon Park, Byeong-Cheol Jo, Kyounguk Lee, Kyungsun Kim:
Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence Attention. 1239-1244 - Quchen Fu, Zhongwei Teng, Jules White, Douglas C. Schmidt:
A Transformer-based Approach for Translating Natural Language to Bash Commands. 1245-1248 - Swetha Govindu, Raviteja Vidya Guttula, Swati Kohli, Poonam Patil, Anagha Kulkarni, Ilmi Yoon:
Towards Intelligent Reading through Multimodal and Contextualized Word LookUp. 1249-1252 - Aysun Bozanta, Sabrina Angco, Mucahit Cevik, Ayse Basar:
Sentiment Analysis of StockTwits Using Transformer Models. 1253-1258 - Jiaqi Xu, Zhenjiang Miao, Wanru Xu, Jiaji Wang, Qiang Zhang, Shaoyue Song:
Video Anomaly Detection Using Dual Discriminator Based Generative Adversarial Network. 1259-1265 - Sergiu Limboi, Mara Deac-Petrusel:
A Validation Framework for ARP Similarity Measure. 1266-1271 - Louis Jensen, Jayme Fosa, Ben Teitelbaum, Peter Chin:
How Dense Autoencoders can still Achieve the State-of-the-art in Time-Series Anomaly Detection. 1272-1277 - Michal Lew, Aleksander Obuchowski, Emilia Kacprzak, Agnieszka Pluwak:
Conversation Clustering Adaptation for Intent Recognition. 1278-1285 - Peyman Rasouli, Ingrid Chieh Yu:
Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations. 1286-1293 - Sérgio Viademonte, Bruno Duarte Gomes, Ana Carolina Quintao Siravenha, Walisson Cardoso Gomes, Caio Rodrigues, Renan Arthur Tourinho:
An Unsupervised Learning Methodology for Increasing Human Productivity via VR Training. 1294-1298 - Federica Mandreoli, Federico Motta, Paolo Missier:
An HMM-ensemble approach to predict severity progression of ICU treatment for hospitalized COVID-19 patients. 1299-1306 - Robert LeMoyne, Timothy Mastroianni:
Conformal Wearable for Quantification of Dorsiflexion for a Hemiplegic Ankle Pair with Distinction by Machine Learning. 1307-1310 - M. L. Tlachac, Ermal Toto, Joshua Lovering, Rimsha Kayastha, Nina Taurich, Elke A. Rundensteiner:
EMU: Early Mental Health Uncovering Framework and Dataset. 1311-1318 - Xiaohong W. Gao, Alice Gao:
COVID-CBR: A Deep Learning Architecture Featuring Case-Based Reasoning for Classification of COVID-19 from Chest X-Ray Images. 1319-1324 - Abigail Atchison, Gabriela Pinto, Ali Woodward, Elizabeth Stevens, Dennis Dixon, Erik Linstead:
Classifying Challenging Behaviors in Autism Spectrum Disorder with Word Embeddings. 1325-1332 - Khaled Mohammed Saifuddin, Esra Akbas, Max Khanov, Jason Beaman:
Effects of COVID-19 on individuals in Opioid Addiction Recovery. 1333-1340 - Alvaro David Orjuela-Cañón, Juan Carlos Figueroa-García, Roman Neruda:
Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations. 1341-1344 - Abdulaziz Almalaq, Aymen Alshammarry, Bader Al-Anzi, Fahad Alharbi, Mohammed Alshudukhi:
Deep Learning Applied on Renewable Energy Forecasting Towards Supply-Demand Matching. 1345-1349 - Melih C. Yesilli, Firas A. Khasawneh:
Data-driven and Automatic Surface Texture Analysis Using Persistent Homology. 1350-1356 - Peter Domanski, Dirk Pflüger, Raphaël Latty, Jochen Rivoir:
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems. 1357-1364 - Majid Shirazi, Markus Schmitz, Simon Janssen, Anabelle Thies, Georgij Safronov, Amr Rizk, Peter Mayr, Philipp Engelhardt:
Verifying the Applicability of Synthetic Image Generation for Object Detection in Industrial Quality Inspection. 1365-1372 - Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Shapelets-based Data Augmentation for Time Series Classification. 1373-1378 - Marwin Züfle, Florian Erhard, Samuel Kounev:
Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction. 1379-1386 - Noah Kaplan, Rohan Loveland, Larry Denneau:
Deep Neural Networks for Detecting Asteroids in the ATLAS Data Pipeline. 1387-1392 - A. K. M. Shahariar Azad Rabby, Md. Majedul Islam, Zahidul Islam, Nazmul Hasan, Fuad Rahman:
Towards Building A Robust Large-Scale Bangla Text Recognition Solution Using A Unique Multiple-Domain Character-Based Document Recognition Approach. 1393-1399 - Schubert R. Carvalho, Nicolas M. Bertagnolli, Tyler Folkman:
Temporal Bottleneck Attention for Video Recognition. 1400-1406 - Olaoluwa Adigun, Bart Kosko:
Deeper Neural Networks with Non-Vanishing Logistic Hidden Units: NoVa vs. ReLU Neurons. 1407-1412 - James Spooner, Vasile Palade, Alireza Daneshkhah, Stratis Kanarachos:
Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing Scenarios. 1413-1420 - Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal:
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. 1421-1428 - Lingxiao Wang, Shuo Pang, Jinlong Li:
Learn to Trace Odors: Autonomous Odor Source Localization via Deep Learning Methods. 1429-1436 - Ramin Sharifi, Pouya Shiri, Amirali Baniasadi:
PrunedCaps: A Case For Primary Capsules Discrimination. 1437-1442 - Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl:
A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. 1443-1448 - Deepanshu Pandey, Pranav Khurana, Ashwin Misra:
Towards Understanding the Psychological Effects of the COVID-19 Pandemic on the Indian Population. 1449-1454 - Weijun Tan, Hongwei Guo:
Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset. 1455-1460 - Omar Boursalie, Reza Samavi, Thomas E. Doyle:
Decoder Transformer for Temporally-Embedded Health Outcome Predictions. 1461-1467 - Yufan Wang, Mahsa Mohaghegh:
Text Mining Approach To Predict Non-Adherence. 1468-1471 - Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Sudhakar Sivapalan:
Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text. 1472-1477 - Wadii Boulila, Ayyub Alzahem, Aseel Almoudi, Muhanad Afifi, Ibrahim Alturki, Maha Driss:
A Deep Learning-based Approach for Real-time Facemask Detection. 1478-1481 - Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert:
Learning from Limited Data for Speech-based Traumatic Brain Injury (TBI) Detection. 1482-1486 - Carmine Guida, Ming Zhang, Jordan Blackadar, Zilong Yang, Jeffrey B. Driban, Jeffrey W. Duryea, Lena Schaefer, Charles B. Eaton, Timothy E. McAlindon, Juan Shan:
Automated Hand Osteoarthritis Classification Using Convolutional Neural Networks. 1487-1494 - Rishi Vardhan K, Vedanth S, Poojah G, Abhishek K, Nitish Kumar M, Vineeth Vijayaraghavan:
BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram. 1495-1500 - Sideshwar J. B, Sachin Krishan T, Vishal Nagarajan, Shanthakumar S, Vineeth Vijayaraghavan:
End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices. 1501-1506 - Pedro Roig Aparicio, Ricards Marcinkevics, Patricia Reis Wolfertstetter, Sven Wellmann, Christian Knorr, Julia E. Vogt:
Learning Medical Risk Scores for Pediatric Appendicitis. 1507-1512 - Nikola Markovic, Daniel Vahle, Volker Staudt, Dorothea Kolossa:
Condition Monitoring for Power Converters via Deep One-Class Classification. 1513-1520 - Mirza Jasarevic, Veselka Boeva, Fredrik Sjölin, Per-Olav Gramstad:
Understanding Traffic Cruising Causation Via Parking Data Enhancement. 1521-1528 - Paul Audin, Inès Jorge, Tedjani Mesbahi, Ahmed Samet, François de Bertrand de Beuvron, Romuald Boné:
Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets. 1529-1536 - Evan C. Witz, Maria Barger, Randy C. Paffenroth:
Deep Learning for Range Localization via Over-Water Electromagnetic Signals. 1537-1544 - Tianbai Chen, Li Zhong, Naweiluo Zhou, Dennis Hoppe:
Catch Weight Prediction for Multi-Species Fishing using Artificial Neural Networks. 1545-1552 - Fabian Fallas-Moya, Manfred Gonzalez-Hernandez, Amir Sadovnik:
Size Does Matter: Overcoming Limitations during Training when using a Feature Pyramid Network. 1553-1560 - Tharushi Jayasekara, Ruvan Weerasinghe, Viraj Welgama:
Aspect Oriented Suggestion Extraction from Online Reviews. 1561-1568 - Eric Hans Messias Da Silva, João Laterza, Marcos Paulo Pereira Da Silva, Marcelo Ladeira:
A proposal to identify stakeholders from news for the institutional relationship management activities of an institution based on Named Entity Recognition using BERT. 1569-1575 - Tuan Nguyen, Phong Nguyen, Hanh Pham, Truong Bui, Tan Nguyen, Duc Luong:
SP-GPT2: Semantics Improvement in Vietnamese Poetry Generation. 1576-1581 - Md Fahim, Swapna S. Gokhale:
Detecting Offensive Content on Twitter During Proud Boys Riots. 1582-1587 - Diego Vallejo-Huanga, Esteban Carrera, Jonathan Mañay:
AuTGeLy: Automatic Title Generator based on Song Lyrics Extractions. 1588-1593 - Mikhail V. Kovalchuk, Denis A. Nasonov:
Hashtags: an essential aspect of topic modeling of city events through social media. 1594-1599 - Mustafizur R. Shahid, Hervé Debar:
CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description. 1600-1607 - Nathan Funckes, Erin Carrier, Greg Wolffe:
An Augmented Image Captioning Model: Incorporating Hierarchical Image Information. 1608-1614 - Jun Zhu, Gautier Viaud, Céline Hudelot:
Improving Next-Application Prediction with Deep Personalized-Attention Neural Network. 1615-1622 - Duc Hau Nguyen, Guillaume Gravier, Pascale Sébillot:
A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference. 1623-1629 - Pankaj Dikshit, B. Chandra, M. P. Gupta:
Automating Questions and Answers of Good and Services Tax system using clustering and embeddings of queries. 1630-1633 - Ashkan B. Jeddi, Abdollah Shafieezadeh:
A Physics-Informed Graph Attention-based Approach for Power Flow Analysis. 1634-1640 - Youye Xie, Michael B. Wakin, Gongguo Tang:
Data-driven Support Recovery for Sparse Signals with Non-stationary Modulation. 1641-1646 - Maryam Pardakhti, Nila Mandal, Anson W. K. Ma, Qian Yang:
Practical Active Learning with Model Selection for Small Data. 1647-1653 - Filip Michalský, Serdar Kadioglu:
Surrogate Ground Truth Generation to Enhance Binary Fairness Evaluation in Uplift Modeling. 1654-1659 - Yingnan Liu, Randy Clinton Paffenroth:
Voxel-based Deep Learning for Image Super-resolution of Areal Density Maps of Carbon-nanotube Sheets. 1660-1667 - Raphael Leiteritz, Marcel Hurler, Dirk Pflüger:
Learning Free-Surface Flow with Physics-Informed Neural Networks. 1668-1673 - Parisa Hajibabaee, Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili:
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering. 1674-1680 - Sebastian Wankerl, Andrzej Dulny, Gerhard Götz, Andreas Hotho:
Learning Mathematical Relations Using Deep Tree Models. 1681-1687 - Mehmet Emin Aktas, Sidra Jawaid, Ebony Harrington, Esra Akbas:
Influential nodes detection in complex networks via diffusion Fréchet function. 1688-1695 - Naima Khan, Nirmalya Roy:
BuiltNet: Graph based Spatio-Temporal Indoor Thermal Variation Detection. 1696-1703 - Qing Tang, Marie-Hélène Abel, Elsa Negre:
Improve Learner-based Recommender System with Learner's Mood in Online Learning Platform. 1704-1709 - Nader N. Nashed, Christine Lahoud, Marie-Hélène Abel, Frédéric Andrès, Bernard Blancan:
Mood detection ontology integration with teacher context. 1710-1715 - Carolina Frangeto, Marcius Fabius Carvalho, Frédéric Andrès, Bernard Blancan, Lia Toledo Moreira Mota:
Monitoring Karting Pilot's Moodflow: a First Experience. 1716-1719 - Maya Kapoor, Joshua Melton, Michael Ridenhour, Siddharth Krishnan, Thomas Moyer:
PROV-GEM: Automated Provenance Analysis Framework using Graph Embeddings. 1720-1727 - Nandish Chattopadhyay, Anupam Chattopadhyay:
ROWBACK: RObust Watermarking for neural networks using BACKdoors. 1728-1735 - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Anomaly Detection of actual IoT traffic flows through Deep Learning. 1736-1741 - Maria Begicheva, Alexey Zaytsev:
Bank transactions embeddings help to uncover current macroeconomics. 1742-1748 - Xiao Zhou, Xiao Wang, Gavin Brown, Chengchen Wang, Peter Chin:
Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes. 1749-1754 - Francois Buet-Golfouse, Islam Utyagulov:
Kernel Factorisation Machines. 1755-1760 - Praveen Kumar R, I Niranjan Kumar, Sujith Sivasankaran, A. Mohan Vamsi, Vineeth Vijayaraghavan:
Critical State Detection for Adversarial Attacks in Deep Reinforcement Learning. 1761-1766 - Pouya Shiri, Amirali Baniasadi:
LE-CapsNet: A Light and Enhanced Capsule Network. 1767-1772 - Januj Amar Juneja, A. D. Amar:
Assessing Eurosystem Policy Rules By Applying Deep Learning Approach. 1773-1778 - Pankaj Dikshit, B. Chandra:
Evaluating Sentiments in Social Media Comments on Tax Transformation in India using Deep Learning. 1779-1782 - Jing Zhang, Chao Wang, Zezhou Li, Xianbo Zhang:
Threshold-free Anomaly Detection for Streaming Time Series through Deep Learning. 1783-1789
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