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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 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