| 2022 | 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022 M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan |
| 2022 | A CNN-Based Automated Stuttering Identification System. Yash Prabhu, Naeem Seliya |
| 2022 | A Deep Learning based Hand Gesture Recognition on a Low-power Microcontroller using IMU Sensors. Daniel Lauss, Florian Eibensteiner, Phillip Petz |
| 2022 | A Layer Decomposition Approach to Inference Time Prediction of Deep Learning Architectures. Ola Mustafa Alqahtani, Lakshmish Macheeri Ramaswamy |
| 2022 | A Lightweight and Fast Approach for Upper Limb Range of Motion Assessment. Xuke Yan, Linxi Zhang, Bo Liu, Guangzhi Qu |
| 2022 | A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives. Maren Pielka, Felix Rode, Lisa Pucknat, Tobias Deußer, Rafet Sifa |
| 2022 | A Neural Model for Regular Grammar Induction. Peter Belcak, David Hofer, Roger Wattenhofer |
| 2022 | A New Framework to Assess the Individual Fairness of Probabilistic Classifiers. Muhammad Fawad Akbar Khan, Hamid Karimi |
| 2022 | A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural Networks. Azar Alizadeh, Pooya Tavallali, Vahid Behzadan, Aditya Ranganath, Mukesh Singhal |
| 2022 | A Novel Multimodal Situated Spoken Dialog System for Human Robot Communication in Emergency Evacuation. Sheuli Paul, Michael Sintek, Marius Silaghi, Veton Këpuska, Liam Robertson |
| 2022 | A Real-time Digit Gesture Recognition System Based on mmWave Radar. Chun Yuan, Youxuan Zhong, Jiake Tian, Yi Zou |
| 2022 | A Robust Approach to Fine-tune Pre-trained Transformer-based models for Text Summarization through Latent Space Compression. Ala Alam Falaki, Robin Gras |
| 2022 | A Variational Autoencoder for Heterogeneous Temporal and Longitudinal Data. Mine Ögretir, Siddharth Ramchandran, Dimitrios Papatheodorou, Harri Lähdesmäki |
| 2022 | A Vision Transformer Architecture for Open Set Recognition. Feiyang Cai, Zhenkai Zhang, Jie Liu, Xenofon D. Koutsoukos |
| 2022 | A scalable solution to AlphaZero based Redundancy Analysis for semiconductor chips. Helik Kanti Thacker, Sairam Jujjarapu, Adrita Barari, Damini, Paulami Das, Sudhanshu Gupta, Akhilesh Sudhir Patankar, Keerthi Kiran Jagannathachar, Deokgu Yoon |
| 2022 | AAEBERT: Debiasing BERT-based Hate Speech Detection Models via Adversarial Learning. Ebuka Okpala, Long Cheng, Nicodemus Msafiri John Mbwambo, Feng Luo |
| 2022 | ACGANs Improve Chemical Sensors for Challenging Distributions. Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski |
| 2022 | AI privacy preserving robots working in a smart sensor environment. Imen Chakroun, Geert Vanmeerbeeck, Roel Wuyts, Wilfried Verarcht |
| 2022 | Active Learning with Combinatorial Coverage. Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman |
| 2022 | Active learning of causal probability trees. Tue Herlau |
| 2022 | Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning. Akhil S. Anand, Jens Erik Kveen, Fares J. Abu-Dakka, Esten Ingar Grøtli, Jan Tommy Gravdahl |
| 2022 | Adversarial Attacks on Deep Temporal Point Process. Samira Khorshidi, Bao Wang, George O. Mohler |
| 2022 | Adversarial Attacks on Speech Separation Systems. Kendrick Trinh, Melody Moh, Teng-Sheng Moh |
| 2022 | An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps. Ricardo Cerri, Elaine R. Faria, João Gama |
| 2022 | An Application of Document Embeddings to Identifying Challenging Behaviors in Autism Spectrum Disorder From Clinical Notes. Abigail Atchison, Gabriela Pinto, Ali Woodward, Elizabeth Stevens, Dennis Dixon, Erik Linstead |
| 2022 | An Edge-based Real-Time Object Detection. Ali Ahmadinia, Jaabaal Shah |
| 2022 | An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions. Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal |
| 2022 | An Ontology-based transfer learning method improving classification of medical documents. Daniel Bruneß, Matthias Bay, Christian Schulze, Michael Guckert, Mirjam Minor |
| 2022 | An exploratory analysis of a dynamic ensemble structure using an automatic decision process. Carine A. Dantas, Anne M. P. Canuto, João C. Xavier Junior, Rômulo de Oliveira Nunes |
| 2022 | Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA. Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette, Cagri Ozdemir |
| 2022 | Application of Machine Learning Techniques in Temperature Forecast. Adrin Issai Arasu, Manish Modani, Nagabhushana Rao Vadlamani |
| 2022 | Approximate Orthogonal Spectral Autoencoders for Community Analysis in Social Networks. Scott Wahl, John Sheppard |
| 2022 | Are Post-Hoc Explanation Methods for Prostate Lesion Detection Effective for Radiology End Use? Mehmet Akif Gulum, Christopher M. Trombley, Merve Ozen, Mehmed M. Kantardzic |
| 2022 | Aspect-based Sentiment Analysis of English and Hindi Opinionated Social Media Texts. K. M. Kavitha, A Nishmitha, Gowda Karthik Balgopal, Kausalya K. Naik, Mranali Gourish Gaonkar |
| 2022 | Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory. Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Daniel da Silva, Michael S. F. Kirk |
| 2022 | Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning. Nasik Muhammad Nafi, Creighton Glasscock, William H. Hsu |
| 2022 | Audio Classification of Low Feature Spectrograms Utilizing Convolutional Neural Networks. Noel Elias |
| 2022 | Autoencoder Ensemble Method for Botnets Detection on IOT Devices. Steven E. Arroyo, Shen-Shyang Ho |
| 2022 | Autoencoder Feature Residuals for Network Intrusion Detection: Unsupervised Pre-training for Improved Performance. Brian Lewandowski, Randy C. Paffenroth |
| 2022 | Automatic Key Information Extraction from Visually Rich Documents. Charles De Trogoff, Rim Hantach, Gisela Lechuga, Philippe Calvez |
| 2022 | Automatic Sleep Stage Classification with Optimized Selection of EEG Channels. Håkon Stenwig, Andrés Felipe Soler, Junya Furuki, Yoko Suzuki, Takashi Abe, Marta Molinas |
| 2022 | Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction. Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila |
| 2022 | Bad Citrus: Reducing Adversarial Costs with Model Distances. Giorgio Severi, Will Pearce, Alina Oprea |
| 2022 | Balancing Similarity-Contrast in Unsupervised Representation Learning: Evaluation with Reinforcement Learning. Menore Tekeba Mengistu, Getachew Alemu, Pierre Chevaillier, Pierre De Loor |
| 2022 | Bayesian Rule Ontologies For XAI Classification and Regression. Akash Kumar Panda, Bart Kosko |
| 2022 | Bayesian Sequential Optimal Experimental Design for Linear Regression with Reinforcement Learning. Fadil Santosa, Loren Anderson |
| 2022 | Behavior Sequence Transformer Applied on SERP Evaluation and Model Interpretation. Xiaoyu Dong, Shen Shen, Jinkang Jia, Lianzhao Yu, Yifan Wang, Po Zhang |
| 2022 | Benchmarking Offline Reinforcement Learning. Andrew Tittaferrante, Abdulsalam Yassine |
| 2022 | BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. Brian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang |
| 2022 | Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning. Md. Masudur Rahman, Yexiang Xue |
| 2022 | CANBERT: A Language-based Intrusion Detection Model for In-vehicle Networks. Ebelechukwu Nwafor, Habeeb Olufowobi |
| 2022 | CCVAE: A Variational Autoencoder for Handling Censored Covariates. Caroline Svahn, Oleg Sysoev |
| 2022 | CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks. Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara |
| 2022 | COVID-19 Detection from Cough Recording by means of Explainable Deep Learning. Mario Cesarelli, Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone, Michele Tavone |
| 2022 | California Wildfire Prediction using Machine Learning. Kaylee Pham, David Ward, Saulo Rubio, David Shin, Lior Zlotikman, Sergio Ramirez, Tyler Poplawski, Xunfei Jiang |
| 2022 | Can We Predict Consequences of Cyber Attacks? Prerit Datta, Akbar Siami Namin, Keith S. Jones |
| 2022 | CandyRL: A Hybrid Reinforcement Learning Model for Gameplay. Sara Karimi, Sahar Asadi, Francesco Lorenzo, Amir Hossein Payberah |
| 2022 | Causal Inference for Personalized Treatment Effect Estimation for given Machine Learning Models. Johannes Rust, Serge Autexier |
| 2022 | Class-wise and reduced calibration methods. Michael Panchenko, Anes Benmerzoug, Miguel de Benito Delgado |
| 2022 | Classification of Functional Data: A Comparative Study. Carlos Ramos-Carreño, José Luis Torrecilla, Alberto Suárez |
| 2022 | Classifying the Ideological Orientation of User-Submitted Texts in Social Media. Kamalakkannan Ravi, Adan Ernesto Vela, Rickard Ewetz |
| 2022 | Cluster Management of Scientific Literature in HSTOOL. Johan Schubert, Ulrika Wickenberg Bolin |
| 2022 | Clustering image data with a fixed embedding. Yan-Bin Chen, Khong-Loon Tiong, Chen-Hsiang Yeang |
| 2022 | Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code. Md. Rafiqul Islam Rabin, Mohammad Amin Alipour |
| 2022 | Comparative Study on 1.5T - 3T MRI Conversion through Deep Neural Network Models. Binhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu |
| 2022 | Comparing the quality of neural network uncertainty estimates for classification problems. Daniel Ries, Joshua Michalenko, Tyler Ganter, Rashad Imad-Fayez Baiyasi, Jason Adams |
| 2022 | Connecting the Semantic Dots: Zero-shot Learning with Self-Aligning Autoencoders and a New Contrastive-Loss for Negative Sampling. Mohammed Terry-Jack, Nikolai Rozanov |
| 2022 | Contactless Low Power Air-Writing Based on FMCW Radar Networks Using Spiking Neural Networks. Muhammad Arsalan, Tao Zheng, Avik Santra, Vadim Issakov |
| 2022 | Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation. Nan Ding, Hélène Urien, Florence Rossant, Jérémie Sublime, Michel Pâques |
| 2022 | Context-free Self-Conditioned GAN for Trajectory Forecasting. Tiago Rodrigues de Almeida, Eduardo Gutiérrez-Maestro, Óscar Martínez Mozos |
| 2022 | Contingency-constrained economic dispatch with safe reinforcement learning. Michael Eichelbeck, Hannah Markgraf, Matthias Althoff |
| 2022 | Continuous Human Activity Recognition using Radar Imagery and Dynamic Time Warping. Ruchita Mehta, Vasile Palade, Sara Sharifzadeh, Bo Tan, Yordanka Karayaneva |
| 2022 | Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning. Giovanni Ciaramella, Stefano Fagnano, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone |
| 2022 | Cost-Sensitive Ensemble Learning for Highly Imbalanced Classification. Justin M. Johnson, Taghi M. Khoshgoftaar |
| 2022 | Cost-effective Models for Detecting Depression from Speech. Mashrura Tasnim, Jekaterina Novikova |
| 2022 | Cost-sensitive Hierarchical Clustering for Dynamic Classifier Selection. Meinolf Sellmann, Tapan Shah |
| 2022 | DDSupport: Language Learning Support System that Displays Differences and Distances from Model Speech. Kazuki Kawamura, Jun Rekimoto |
| 2022 | DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation. Abdul Basit Hafeez, Eduardo Alonso, Atif Riaz |
| 2022 | Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection. Gautham Krishna Gudur, Raaghul R, Adithya K, Shrihari Vasudevan |
| 2022 | Data-Parallel Momentum Diagonal Empirical Fisher (DP-MDEF):Adaptive Gradient Method is Affected by Hessian Approximation and Multi-Class Data. Chenyuan Xu, Kosuke Haruki, Taiji Suzuki, Masahiro Ozawa, Kazuki Uematsu, Ryuji Sakai |
| 2022 | Dealing with Distribution Shift in Acoustic Mosquito Datasets. Hermann Yepdjio Nkouanga, Suresh Singh |
| 2022 | Decision Boundaries of Deep Neural Networks. Hamid Karimi, Tyler Derr |
| 2022 | Deep Baseline Network for Time Series Modeling and Anomaly Detection. Cheng Ge, Xi Chen, Ming Wang, Jin Wang |
| 2022 | Deep Contrastive Anomaly Detection for Airline Ancillaries Prediction. Pu Yang, Arinbjörn Kolbeinsson, Naman Shukla, Javier A. Barria |
| 2022 | Deep Learning Based Re-Identification of Wooden Euro-pallets. Jérôme Rutinowski, Christian Pionzewski, Tim Chilla, Christopher Reining, Michael ten Hompel |
| 2022 | Deep Learning and Pattern-based Methodology for Multivariable Sensor Data Regression. Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr |
| 2022 | Deep Neural Network Piration without Accuracy Loss. Aritra Ray, Jinyuan Jia, Sohini Saha, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty |
| 2022 | Deep object detection for waterbird monitoring using aerial imagery. Krish Kabra, Alexander Xiong, Wenbin Li, Minxuan Luo, William Lu, Tianjiao Yu, Jiahui Yu, Dhananjay Singh, Raul Garcia, Maojie Tang, Hank Arnold, Anna Vallery, Richard Gibbons, Arko Barman |
| 2022 | DeepReject and DeepRoad: Road Condition Recognition and Classification Under Adversarial Conditions. Hidetomo Sakaino |
| 2022 | DeepWafer: A Generative Wafermap Model with Deep Adversarial Networks. Hamidreza Mahyar, Peter Tulala, Elahe Ghalebi, Radu Grosu |
| 2022 | Deeper Bidirectional Neural Networks with Generalized Non-Vanishing Hidden Neurons. Olaoluwa Adigun, Bart Kosko |
| 2022 | Deformable Registration of Low-overlapping Medical Images. Bertram Sabrowsky-Hirsch, Bernhard Schenkenfelder, Christoph Klug, Gernot Reishofer, Josef Scharinger |
| 2022 | Dejà vu: Recurrent Neural Networks for health wearables data forecast. Igor Matias, Katarzyna Wac |
| 2022 | Determining Association between Fatal Heart Failure and Chronic Kidney Disease: A Machine Learning Approach. Adiba Haque, Anika Nahian Binte Kabir, Maisha Islam, Mayesha Monjur, Md. Khalilur Rhaman, Moin Mostakim |
| 2022 | Distribution Based Upper Lower Bound Estimation In Deep Neural Nets. Muluken Regas Eressa, Hakim Badis, Dorian Grosso |
| 2022 | DoPose-6D dataset for object segmentation and 6D pose estimation. Anas Gouda, Abraham Ghanem, Christopher Reining |
| 2022 | Dynamic Binary Cross Entropy: An effective and quick method for model convergence. Chinmay Kulkarni, Mohith Rajesh, Shylaja S. Sharath |
| 2022 | ECG Fiducial Point Localization Using a Deep Learning Model. Murtadha D. Hssayeni, Arash Andalib, Rishabh Singh, Diego Pava, Kan Li, Steven Borzak, Robert Chait, Kaustubh Kale |
| 2022 | EVDD - A Novel Dataset For Embedded System Vulnerability Detection Mechanism. Mansour Alqarni, Akramul Azim, Tegveer Singh |
| 2022 | Edge utilization in graph convolutional networks for graph classification. Xiao Yue, Guangzhi Qu, Bo Liu, Feng Zhang |
| 2022 | Empirical analysis of the convergence of Double DQN in relation to reward sparsity. Samuel Blad, Martin Längkvist, Franziska Klügl, Amy Loutfi |
| 2022 | Evolutionary Neural Architecture Search for Traffic Forecasting. Daniel Klosa, Christof Büskens |
| 2022 | Explainable Decision Support Tool for IoT Predictive Maintenance within the context of Industry 4.0. Moamar Sayed-Mouchaweh, Lala H. Rajaoarisoa |
| 2022 | Explainable Unsupervised Multi-Sensor Industrial Anomaly Detection and Categorization. Mina Ameli, Philipp Aaron Becker, Katharina Lankers, Markus van Ackeren, Holger Bähring, Wolfgang Maaß |
| 2022 | Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets. Yusuf Arslan, Kevin Allix, Clément Lefebvre, Andrey Boytsov, Tegawendé F. Bissyandé, Jacques Klein |
| 2022 | Exploring Edge Machine Learning-based Stress Prediction using Wearable Devices. Sang-Hun Sim, Tara Paranjpe, Nicole Roberts, Ming Zhao |
| 2022 | Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach. Mashael Al-Luhaybi, Stephen Swift, Steve Counsell, Allan Tucker |
| 2022 | Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen |
| 2022 | Extending Rapid Class Augmentation to a YOLOv3 Object Detection Architecture. Hanna E. Witzgall |
| 2022 | Fair Algorithms for Hierarchical Agglomerative Clustering. Anshuman Chhabra, Prasant Mohapatra |
| 2022 | Fast Counterfactual Explanation for Solar Flare Prediction. Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi |
| 2022 | Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision. AmirHossein Zamani, Amir G. Aghdam, Kamran Ghaffari |
| 2022 | Feature Extraction for Out of Distribution Detection via Self-Supervised Learning. Claire Thorp, Sean Sisti, Walter D. Bennette |
| 2022 | Feature Reduction Method Comparison Towards Explainability and Efficiency in Cybersecurity Intrusion Detection Systems. Adam Lehavi, Seongtae Kim |
| 2022 | Federated Learning Aggregation: New Robust Algorithms with Guarantees. Adnan Ben Mansour, Gaia Carenini, Alexandre Duplessis, David Naccache |
| 2022 | Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun |
| 2022 | Fine-grained analysis of the transformer model for efficient pruning. Leila Ben Letaifa, Jean-Luc Rouas |
| 2022 | Flexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual Learning. Yuki Miyashita, Toshiharu Sugawara |
| 2022 | From Causal Pairs to Causal Graphs. Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu |
| 2022 | GDSCAN: Pedestrian Group Detection using Dynamic Epsilon. Mingzuoyang Chen, Shadi Banitaan, Mina Maleki, Yichun Li |
| 2022 | Graph-based Recommendation using Graph Neural Networks. Marco Dossena, Christopher Irwin, Luigi Portinale |
| 2022 | Hawkes Process Multi-armed Bandits for Search and Rescue. Wen-Hao Chiang, George O. Mohler |
| 2022 | HeteroGenius: An Improvised 'Intelligence' in Heterogeneous Graph Transformers. Nafiz Sadman, Akib Sadmanee, Kishor Datta Gupta, Roy George |
| 2022 | Histogram Layers for Synthetic Aperture Sonar Imagery. Joshua Peeples, Alina Zare, Jeffrey Dale, James Keller |
| 2022 | Hyperparameter Tuning in Offline Reinforcement Learning. Andrew Tittaferrante, Abdulsalam Yassine |
| 2022 | ICDARTS: Improving the Stability of Cyclic DARTS. Emily J. Herron, Steven R. Young, Derek C. Rose |
| 2022 | IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge. Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada |
| 2022 | IGN : Implicit Generative Networks. Haozheng Luo, Tianyi Wu, Colin Feiyu Han, Zhijun Yan |
| 2022 | Identifying Metering Hierarchies with Distance Correlation and Dominance Constraints. Tak-Shing T. Chan, Alex J. Gibberd |
| 2022 | Imitation from Observation using RL and Graph-based Representation of Demonstrations. Yassine El Manyari, Patrick Le Callet, Laurent Dollé |
| 2022 | Impact of Labeling Noise on Machine Learning: A Cost-aware Empirical Study. Abdulrahman Ahmed Gharawi, Jumana Alsubhi, Lakshmish Ramaswamy |
| 2022 | Improving Aquaculture Systems using AI: Employing predictive models for Biomass Estimation on Sonar Images. Mohan Kashyap Pargi, Elham Bagheri, Ricardo Shirota F, Khoo Eng Huat, Farshad Shishehchian, Nathalie Nathalie |
| 2022 | Improving Chest X-Ray Classification by RNN-based Patient Monitoring. David Biesner, Helen Schneider, Benjamin Wulff, Ulrike I. Attenberger, Rafet Sifa |
| 2022 | Improving Fashion Attribute Classification Accuracy with Limited Labeled Data Using Transfer Learning. Tong Chen, Jiho Noh, Luke Cranfill, John Morris, Junggab Son |
| 2022 | Improving Robustness: When and How to Minimize or Maximize the Loss Variance. Valeriu Balaban, Hoda Bidkhori, Paul Bogdan |
| 2022 | Increasing Accuracy in Predicting Student Test Scores with Neural Networks using Domain Reduction Technique of Principal Component Analysis. Michael Scott Brown, Bhavana Rajashekar, Nastaran Davudi Pahnehkolaee |
| 2022 | Individualized Conditioning and Negative Distances for Speaker Separation. Tao Sun, Nidal Abuhajar, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu |
| 2022 | Informative Evaluation Metrics for Highly Imbalanced Big Data Classification. John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson |
| 2022 | Intent based Multimodal Speech and Gesture Fusion for Human-Robot Communication in Assembly Situation. Sheuli Paul, Michael Sintek, Veton Këpuska, Marius Silaghi, Liam Robertson |
| 2022 | Interpretability of ReLU for Inversion. Boaz Ilan, Aditya Ranganath, Jacqueline Alvarez, Shilpa Khatri, Roummel F. Marcia |
| 2022 | Interpretable Reinforcement Learning with Multilevel Subgoal Discovery. Alexander V. Demin, Denis K. Ponomaryov |
| 2022 | Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery. Neelanjan Bhowmik, Toby P. Breckon |
| 2022 | KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. Tobias Deußer, Syed Musharraf Ali, Lars Patrick Hillebrand, Desiana Nurchalifah, Basil Jacob, Christian Bauckhage, Rafet Sifa |
| 2022 | Kernelization of Tensor Discriminant Analysis with Application to Image Recognition. Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman |
| 2022 | Knowledge Guided Two-player Reinforcement Learning for Cyber Attacks and Defenses. Aritran Piplai, Mike Anoruo, Kayode Fasaye, Anupam Joshi, Tim Finin, Ahmad Ridley |
| 2022 | Knowledge-based Deep Learning for Modeling Chaotic Systems. Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid |
| 2022 | Label-Free Mammalian Cell Tracking Enhanced by Precomputed Velocity Fields. Yue Han, Yang Lei, Viktor Shkolnikov, Daisy Xin, Steven Barcelo, Jan P. Allebach, Edward J. Delp |
| 2022 | Leaf Tar Spot Detection Using RGB Images. Sriram Baireddy, Da-Young Lee, Carlos Gongora-Canul, Christian D. Cruz, Edward J. Delp |
| 2022 | Learning Non-linear White-box Predictors: A Use Case in Energy Systems. Sandra Wilfling, Masoud Ebrahimi, Qamar Alfalouji, Gerald Schweiger, Mina Basirat |
| 2022 | Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning. Lars Væhrens, Daniel Díez Álvarez, Ulrich Berger, Simon Bøgh |
| 2022 | Lung Nodules Identification in CT Scans Using Multiple Instance Learning. Wiem Safta, Hichem Frigui |
| 2022 | ML Democracy: An Enhanced Voting Algorithm for Model Selection for Efficient EEG Data Assessment. Timothy Flavin, Thomas Steiner, John Reaves, Julian Abhari, Zoe Delap, Bhaskar Mitra, Vidhyashree Nagaraju |
| 2022 | Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets. Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif |
| 2022 | Machine Learning for Classifying Images with Motion Blur. Rogelio E. Garcia, Jacqueline Alvarez, Roummel F. Marcia |
| 2022 | Machine Learning in Personalized Skin Care: A Simulation Scheme for Pattern Recognition in Skin Condition Genome-wide Association Studies. Jerry Bonnell, Melanie Xia, Lee Wall, York Eggleston, Mitsunori Ogihara, Vanessa Aguiar-Pulido |
| 2022 | Machine learning protocol from ultrasound data for monitoring, predicting, and supporting the analysis of dam slopes. Werickson F. C. Rocha, Antônio U. Lucena, Gabriel F. Sarmanho, Rodrigo C. Félix, Sandro A Miqueleti, Tiago C. Dourado |
| 2022 | Managing imprecise map and image data in a possibility theory framework. Khensa Daoudi, Maroua Yamami, Salem Benferhat, Lila Méziani |
| 2022 | Math Chunking and Function Recognition using Deep Learning. Fatimah Alshamari, Abdou Youssef |
| 2022 | Mixed Time-Frame Training for Reinforcement Learning. Gautham Senthilnathan |
| 2022 | Mixture of Decision Trees for Interpretable Machine Learning. Simeon Brüggenjürgen, Nina Schaaf, Pascal Kerschke, Marco F. Huber |
| 2022 | Multi-Learning Generalised Low-Rank Models. Francois Buet-Golfouse, Parth Pahwa |
| 2022 | Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network. Abedalrhman Alkhateeb, Bashier Elkarami, Hazem Qattous, Abdullah Al-Refai, Noor AlAfeshat, Behnam Shahrrava, Mohammad Azzeh |
| 2022 | Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery. Yifan Zhao, Xian Yang, Ranga Raju Vatsavai |
| 2022 | Multi-view Contrastive Multiple Knowledge Graph Embedding for Knowledge Completion. Mori Kurokawa, Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Hideki Asoh, Chihiro Ono, Masafumi Hagiwara |
| 2022 | Nested Multiple Instance Learning with Attention Mechanisms. Saul Fuster, Trygve Eftestøl, Kjersti Engan |
| 2022 | Novel Adversarial Defense Techniques for White-Box Attacks. Jason Van Tuinen, Aditya Ranganath, Goran Konjevod, Mukesh Singhal, Roummel F. Marcia |
| 2022 | Nuclide Identification using CsI(Tl) Gamma Ray Spectra and Neural Networks. Timo Maiwald, Erich Leder, Ralf Pijahn, Reinhard Buchhold, Georg Fischer |
| 2022 | Occupancy Detection based on WI-FI SysLog Data. Bassam A. Abdelghani, Mina Maleki, Shadi Banitaan, Amna Mazen |
| 2022 | On Label Quality in Class Imbalance Setting -A Case Study. Jumanah Alshehri, Marija Stanojevic, Eduard C. Dragut, Zoran Obradovic |
| 2022 | On Selection of Optimal Kernel Function for Software Defect Prediction. Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan |
| 2022 | On the Generalizability of ECG-based Stress Detection Models. Pooja Prajod, Elisabeth André |
| 2022 | On the Robustness of Deep Learning-Based Speech Enhancement. Amit S. Chhetri, Philip Hilmes, Mrudula Athi, Nikhil Shankar |
| 2022 | On the Trade-off Between Benefit and Contribution for Clients in Federated Learning in Healthcare. Christoph Düsing, Philipp Cimiano |
| 2022 | On-Board Pedestrian Trajectory Prediction Using Behavioral Features. Phillip Czech, Markus Braun, Ulrich Kreßel, Bin Yang |
| 2022 | One-Shot Federated Group Collaborative Filtering. Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov |
| 2022 | Online Handwriting Recognition using LSTM on Microcontroller and IMU Sensors. Florian Meißl, Florian Eibensteiner, Phillip Petz, Josef Langer |
| 2022 | Ontology-Based Post-Hoc Explanations via Simultaneous Concept Extraction. Andrew Ponomarev, Anton Agafonov |
| 2022 | PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci |
| 2022 | PerMTL: A Multi-Task Learning Framework for Skilled Human Performance Assessment. Indrajeet Ghosh, Avijoy Chakma, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Nicholas R. Waytowich |
| 2022 | Performance Benchmark of Machine Learning-Based Methodology for Swahili News Article Categorization. Shaun Anthony Little, Kaushik Roy, Ahmed Al Hamoud |
| 2022 | Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers. Federica Bragone, Khaoula Oueslati, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska |
| 2022 | Physics-Informed Neural Networks for prediction of transformer's temperature distribution. Oliver Welin Odeback, Federica Bragone, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska |
| 2022 | Point Cloud-based Variational Autoencoder Inverse Mappers (PC-VAIM) - An Application on Quantum Chromodynamics Global Analysis. Manal Almaeen, Yasir Alanazi, Nobuo Sato, Wally Melnitchouk, Yaohang Li |
| 2022 | Pose Estimation for Future Prediction of Falling. Evan Kurpiewski, Gülüstan Dogan |
| 2022 | Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks. Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke |
| 2022 | Predicting COVID-19 Case Counts using Twitter Image Data. Seth Ockerman, Erin Carrier |
| 2022 | Predicting Clinical Events via Graph Neural Networks. Teja Kanchinadam, Shaheen Gauher |
| 2022 | Predicting Customer Churn in Retailing. Dirar Sweidan, Ulf Johansson, Anders Gidenstam, Beatrice Alenljung |
| 2022 | Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations. Jennifer Schwabe, Chelsea Hua, Emma M. Allen, Leonard A. Jason, Jacob Furst, Daniela Raicu |
| 2022 | Predicting MXene Properties via Machine Learning. Eric W. Vertina, N. Aaron Deskins, Emily Sutherland, Oren Mangoubi |
| 2022 | Predicting anxiety treatment outcomes with machine learning. Marija Stanojevic, Lesley A. Norris, Philip C. Kendall, Zoran Obradovic |
| 2022 | Prediction of Heart Attacks using Data Mining Techniques. Bassam A. Abdelghani, Sophia Fadal, Shadi Bedoor, Shadi Banitaan |
| 2022 | Probabilistic Approach for Recommendation Systems. Nada Abdalla, Damien Forthomme |
| 2022 | Quantifying Cognitive Load from Voice using Transformer-Based Models and a Cross-Dataset Evaluation. Pascal Hecker, Arpita Kappattanavar, Maximilian Schmitt, Sidratul Moontaha, Johannes Wagner, Florian Eyben, Björn W. Schuller, Bert Arnrich |
| 2022 | Radioisotope Identification Using CLYC Detectors. David Pérez-Loureiro, Jude Alexander |
| 2022 | Real-Time Cattle Interaction Recognition via Triple-stream Network. Yang Yang, Mizuka Komatsu, Takenao Ohkawa, Kenji Oyama |
| 2022 | Real-Time Change Detection At the Edge. Krishna Karthik Gadiraju, Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai |
| 2022 | Real-Time Facial Emotion Detection Through the Use of Machine Learning and On-Edge Computing. Ashley Dowd, Navid Hashemi Tonekaboni |
| 2022 | Recent Trends in Neural Architecture Search Systems. Sarwat Ali, M. Arif Wani |
| 2022 | Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising. Aditya Ranganath, Omar DeGuchy, Fabian Santiago, Mukesh Singhal, Roummel F. Marcia |
| 2022 | Recurrent Neural Network-Based Video Compression. Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila |
| 2022 | Recycling Material Classification using Convolutional Neural Networks. Kaihua Liu, Xudong Liu |
| 2022 | Regression Expression Variation Analysis (REVA): a rank-based multi-dimensional measure of correlation. Bahman Afsari, Alexander V. Favorov, Elana J. Fertig, Leslie Cope |
| 2022 | Reinforcement Learning Based Architectures for Dynamic Generation of Smart Home Services. Mingming Qiu, Elie Najm, Rémi Sharrock, Bruno Traverson |
| 2022 | Rethinking of Domain Users Control in Computer Vision Pipelines by Customized Attention. Majid Shirazi, Georgij Safronov, Amr Rizk |
| 2022 | SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems. Yousef AlShehri, Lakshmish Ramaswamy |
| 2022 | SVTON: Simplified Virtual Try-On. Tasin Islam, Alina Dana Miron, Xiaohui Liu, Yongmin Li |
| 2022 | Safe Reinforcement Learning for LiDAR-based Navigation via Control Barrier Function. Lixing Song, Luke Ferderer, Shaoen Wu |
| 2022 | Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning. Felippe Schmoeller Roza, Hassan Rasheed, Karsten Roscher, Xiangyu Ning, Stephan Günnemann |
| 2022 | Sat2rain: Multiple Satellite Images to Rainfall Amounts Conversion By Improved GAN. Hidetomo Sakaino, Atsushi Higuchi |
| 2022 | Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning? Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Marco Fantozzi, Alessandro Marchetti |
| 2022 | Score-based Image-to-Image Regression with Synchronized Diffusion. Hao Xin, Michael Yu Zhu |
| 2022 | Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics. Alexander Naumann, Felix Hertlein, Benchun Zhou, Laura Dörr, Kai Furmans |
| 2022 | Secure Federated Training: Detecting Compromised Nodes and Identifying the Type of Attacks. Pretom Roy Ovi, Aryya Gangopadhyay, Robert F. Erbacher, Carl E. Busart |
| 2022 | Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher. Kei-Sing Ng, Qingchen Wang |
| 2022 | Self-Supervised Learning in the Twilight of Noisy Real-World Datasets. Atharva Tendle, Andrew Little, Stephen D. Scott, Mohammad Rashedul Hasan |
| 2022 | Self-Supervised Transformer Networks for Error Classification of Tightening Traces. Dennis Bogatov Wilkman, Lifei Tang, Kateryna Morozovska, Federica Bragone |
| 2022 | Semi-Supervised Machine Learning for Analyzing COVID-19 Related Twitter Data for Asian Hate Speech. Caitlin Richardson, Sandeep Shah, Xiaohong Yuan |
| 2022 | Sentence Similarity Recognition in Portuguese from Multiple Embedding Models. Ana Carolina Rodrigues, Ricardo M. Marcacini |
| 2022 | Separating Flows in Encrypted Tunnel Traffic. Alexander Hartl, Joachim Fabini, Tanja Zseby |
| 2022 | SimCURL: Simple Contrastive User Representation Learning from Command Sequences. Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen |
| 2022 | Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models. Frederick Mubang, Lawrence O. Hall |
| 2022 | Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning. Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu |
| 2022 | Software package for regression algorithms based on Gaussian Conditional Random Fields. Tijana Markovic, Vladan Devedzic, Fang Zhou, Zoran Obradovic |
| 2022 | Soil Moisture Estimation Using Hyperspectral Imagery Based on Metric Learning. Bo Tang, Weiwei Xie, Qingmin Meng, Robert J. Moorhead, Gary Feng |
| 2022 | Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis. David Biesner, Thore Gerlach, Christian Bauckhage, Bernd Kliem, Rafet Sifa |
| 2022 | Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors. Hao Niu, Huy Quang Ung, Shinya Wada |
| 2022 | Spars Kernelized Features for Prediction of Rock's Carbon Capture using 3D X-Ray Images. Sara Sharifzadeh |
| 2022 | Stochastic Induction of Decision Trees with Application to Learning Haar Trees. Azar Alizadeh, Mukesh Singhal, Vahid Behzadan, Pooya Tavallali, Aditya Ranganath |
| 2022 | Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients. Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu |
| 2022 | Structural health and intelligent monitoring of wind turbine blades with a motorized telescope. Alejandro Carnero, Cristian Martín, Manuel Díaz |
| 2022 | Symbolic Semantic Memory in Transformer Language Models. Robert Morain, Kenneth Vargas, Dan Ventura |
| 2022 | TSEvo: Evolutionary Counterfactual Explanations for Time Series Classification. Jacqueline Höllig, Cedric Kulbach, Steffen Thoma |
| 2022 | Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series. Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2022 | The Performance-Actionability Trade-Off in Retention Prediction at Middle School. Susana Lavado, Miguel Mateus, Leid Zejnilovic |
| 2022 | The impact of low-cost molecular geometry optimization in property prediction via graph neural network. Gabriel A. Pinheiro, Felipe V. Calderan, Juarez L. F. Da Silva, Marcos G. Quiles |
| 2022 | Time-to-event modeling of subreddits transitions to r/SuicideWatch. Xueying Liu, Shiaofen Fang, George O. Mohler, Joan Carlson, Yunyu Xiao |
| 2022 | Topological Regularization for Dense Prediction. Deqing Fu, Bradley J. Nelson |
| 2022 | Towards Emotion Cause Generation in Natural Language Processing using Deep Learning. Md. Riyadh, M. Omair Shafiq |
| 2022 | Towards Fairness and Interpretability: Clinical Decision Support for Acute Coronary Syndrome. Himanshu S. Sahoo, Nicholas Ingraham, Greg M. Silverman, John Sartori |
| 2022 | Towards Fake News Detection on Social Media. Jawaher Alghamdi, Yuqing Lin, Suhuai Luo |
| 2022 | Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks. Simon Klüttermann, Jérôme Rutinowski, Christopher Reining, Moritz Roidl, Emmanuel Müller |
| 2022 | TrADe Re-ID - Live Person Re-Identification using Tracking and Anomaly Detection. Luigy Machaca, F. Oliver Sumari H., Jose Huaman, Esteban Clua, Joris Guérin |
| 2022 | Trade-off between reconstruction loss and feature alignment for domain generalization. Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron |
| 2022 | TranSQL: A Transformer-based Model for Classifying SQL Queries. Shirin Tahmasebi, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin |
| 2022 | Transfer Learning for Bayesian Optimization with Principal Component Analysis. Hideyuki Masui, Diego Romeres, Daniel Nikovski |
| 2022 | Transfer Learning model for Social Emotion Prediction using Writers Emotions in Comments. Abdullah Alsaedi, Stuart Thomason, Floriana Grasso, Phillip Brooker |
| 2022 | Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System. Ameen Abdel Hai, Taif Mohamed, Martin Pavlovski, Mladen Kezunovic, Zoran Obradovic |
| 2022 | Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation. Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner |
| 2022 | Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario. Emily R. Bartusiak, Edward J. Delp |
| 2022 | Uncertainty Prediction for Facial Action Units Recognition under Degraded Conditions. Junya Saito, Sachihiro Youoku, Ryosuke Kawamura, Akiyoshi Uchida, Kentaro Murase, Xiaoyu Mi |
| 2022 | Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille |
| 2022 | Understanding Linguistic Variations in Neutral and Strongly Opinionated Reviews. Salim Sazzed |
| 2022 | Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting. Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick |
| 2022 | Universal Thompson Sampling. Marco Faella, Luigi Sauro |
| 2022 | Unsupervised Anomaly Detection and Root Cause Analysis for an Industrial Press Machine based on Skip-Connected Autoencoder. Chenwei Sun, Martin Trat, Janek Bender, Jivka Ovtcharova, George Jeppesen, Jan Bär |
| 2022 | Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan |
| 2022 | Using Artificial Intelligence to Predict Patient Electronic Health Record Access Points. D. J. McMoran, Alejandra Maria O'Malley, Aysun Karamustafaoglu, Daniel M. Fisher, Gülüstan Dogan |
| 2022 | Using CatBoost and Other Supervised Machine Learning Algorithms to Predict Alzheimer's Disease. Jessica An |
| 2022 | Using Contextual Bandits for Maintaining Driver's Alertness via Personalized Interventions. Andrew Ponomarev |
| 2022 | Using Natural Language Processing to Predict Costume Core Vocabulary of Historical Artifacts. Madhuvanti Muralikrishnan, Amr Hilal, Chreston Miller, Dina Smith-Glaviana |
| 2022 | Using Transparent Neural Networks and Wearable Inertial Sensors to Generate Physiologically-Relevant Insights for Gait. Lin Zhou, Eric Fischer, Clemens Markus Brahms, Urs Granacher, Bert Arnrich |
| 2022 | Utilizing Explainable AI for improving the Performance of Neural Networks. Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Avik Santra, Robert Wille |
| 2022 | VDGraph2Vec: Vulnerability Detection in Assembly Code using Message Passing Neural Networks. Ashita Diwan, Miles Q. Li, Benjamin C. M. Fung |
| 2022 | Variational Inference via Rényi Upper-Lower Bound Optimization. Dana Oshri Zalman, Shai Fine |
| 2022 | W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series Forecasting. Lena Sasal, Tanujit Chakraborty, Abdenour Hadid |
| 2022 | What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened. Erum Mushtaq, Jie Ding, Salman Avestimehr |
| 2022 | XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values. Anand Dubey, Niall Lyons, Avik Santra, Ashutosh Pandey |
| 2022 | Zero Day Threat Detection Using Metric Learning Autoencoders. Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha |
| 2022 | Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. David Biesner, Maren Pielka, Rajkumar Ramamurthy, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Rafet Sifa |
| 2022 | semiMul: Floating-Point Free Implementations for Efficient and Accurate Neural Network Training. Ali Nezhadi, Shaahin Angizi, Arman Roohi |