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ORCIDPeyman Najafirad
Paul Rad
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- affiliation: The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX, USA
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Journal Articles
- 2023
[j26]Henry Chacon
, Vishwa Koppisetti, David Hardage, Kim-Kwang Raymond Choo, Paul Rad:
Forecasting call center arrivals using temporal memory networks and gradient boosting algorithm. Expert Syst. Appl. 224: 119983 (2023)- [j25]Nima Ebadi, Ruiqi Li, Arun Das, Arkajyoti Roy, Papanikolaou Nikos, Peyman Najafirad:
CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. Medical Image Anal. 86: 102800 (2023) - [j24]Paul Young, Nima Ebadi, Arun Das, Mazal Bethany, Kevin Desai, Peyman Najafirad:
Can Hierarchical Transformers Learn Facial Geometry? Sensors 23(2): 929 (2023) - 2022
- [j23]Kevin B. Kwan-Loo, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Peyman Najafirad:
Detection of Violent Behavior Using Neural Networks and Pose Estimation. IEEE Access 10: 86339-86352 (2022) - [j22]Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid:
Violence Detection Approach based on Cloud Data and Neutrosophic Cognitive Maps. J. Cloud Comput. 11: 85 (2022) - [j21]Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid:
Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps. J. Cloud Comput. 11: 100 (2022) - [j20]Nima Ebadi, Mohsen M. Jozani, Kim-Kwang Raymond Choo, Paul Rad:
A Memory Network Information Retrieval Model for Identification of News Misinformation. IEEE Trans. Big Data 8(5): 1358-1370 (2022) - 2021
- [j19]Rajitha Meka, Adel Alaeddini, Chinonso Ovuegbe, Pranav A. Bhounsule, Peyman Najafirad, Kai Yang:
Multi-Armed Bandit Regularized Expected Improvement for Efficient Global Optimization of Expensive Computer Experiments With Low Noise. IEEE Access 9: 100125-100140 (2021) - [j18]Alexis Megan Votto, Rohit Valecha, Peyman Najafirad, H. Raghav Rao:
Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review. Int. J. Inf. Manag. Data Insights 1(2): 100047 (2021) - [j17]Thi Tran, Rohit Valecha, Paul Rad, H. Raghav Rao:
An Investigation of Misinformation Harms Related to Social Media during Two Humanitarian Crises. Inf. Syst. Frontiers 23(4): 931-939 (2021) - 2020
- [j16]Nihar Bendre, Nima Ebadi, John J. Prevost, Peyman Najafirad:
Human Action Performance Using Deep Neuro-Fuzzy Recurrent Attention Model. IEEE Access 8: 57749-57761 (2020) - [j15]Samuel Henrique Silva, Adel Alaeddini, Peyman Najafirad:
Temporal Graph Traversals Using Reinforcement Learning With Proximal Policy Optimization. IEEE Access 8: 63910-63922 (2020) - [j14]Henry Chacon, Emre Kesici, Peyman Najafirad:
Improving Financial Time Series Prediction Accuracy Using Ensemble Empirical Mode Decomposition and Recurrent Neural Networks. IEEE Access 8: 117133-117145 (2020) - [j13]Gonzalo De La Torre Parra, Paul Rad, Kim-Kwang Raymond Choo:
Driverless vehicle security: Challenges and future research opportunities. Future Gener. Comput. Syst. 108: 1092-1111 (2020) - [j12]Gonzalo De La Torre Parra, Paul Rad, Kim-Kwang Raymond Choo, Nicole Beebe:
Detecting Internet of Things attacks using distributed deep learning. J. Netw. Comput. Appl. 163: 102662 (2020) - [j11]Brandon Lwowski, Paul Rad, Kim-Kwang Raymond Choo:
Geospatial Event Detection by Grouping Emotion Contagion in Social Media. IEEE Trans. Big Data 6(1): 159-170 (2020) - [j10]Berat A. Erol, Abhijit Majumdar, Patrick Benavidez, Paul Rad, Kim-Kwang Raymond Choo, Mo M. Jamshidi:
Toward Artificial Emotional Intelligence for Cooperative Social Human-Machine Interaction. IEEE Trans. Comput. Soc. Syst. 7(1): 234-246 (2020) - [j9]Thi Tran, Rohit Valecha, Paul Rad, H. Raghav Rao:
Misinformation Harms: A Tale of Two Humanitarian Crises. IEEE Trans. Prof. Commun. 63(4): 386-399 (2020) - 2019
- [j8]Nima Ebadi, Brandon Lwowski, Mehrad Jaloli, Paul Rad:
Implicit Life Event Discovery From Call Transcripts Using Temporal Input Transformation Network. IEEE Access 7: 172178-172189 (2019) - [j7]Arun Das, Paul Rad, Kim-Kwang Raymond Choo, Babak Nouhi, Jonathan Lish, James Martel:
Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression. Future Gener. Comput. Syst. 93: 486-498 (2019) - [j6]Gonzalo De La Torre Parra, Paul Rad, Kim-Kwang Raymond Choo:
Implementation of deep packet inspection in smart grids and industrial Internet of Things: Challenges and opportunities. J. Netw. Comput. Appl. 135: 32-46 (2019) - [j5]Samuel Henrique Silva, Paul Rad, Nicole Beebe, Kim-Kwang Raymond Choo, Mahesh Umapathy:
Cooperative unmanned aerial vehicles with privacy preserving deep vision for real-time object identification and tracking. J. Parallel Distributed Comput. 131: 147-160 (2019) - [j4]Sharaj Panwar, Paul Rad, Kim-Kwang Raymond Choo, Mehdi Roopaei:
Are you emotional or depressed? Learning about your emotional state from your music using machine learning. J. Supercomput. 75(6): 2986-3009 (2019) - 2018
- [j3]Seyed Ali Miraftabzadeh, Paul Rad, Kim-Kwang Raymond Choo, Mo M. Jamshidi:
A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds. IEEE Internet Things J. 5(4): 2936-2946 (2018) - 2017
- [j2]Mehdi Roopaei, Paul Rad, Kim-Kwang Raymond Choo:
Cloud of Things in Smart Agriculture: Intelligent Irrigation Monitoring by Thermal Imaging. IEEE Cloud Comput. 4(1): 10-15 (2017) - [j1]Mehdi Roopaei, Paul Rad, Mo M. Jamshidi:
Deep learning control for complex and large scale cloud systems. Intell. Autom. Soft Comput. 23(3): 389-391 (2017)
Conference and Workshop Papers
- 2024
- [c55]Mazal Bethany, Brandon Wherry, Nishant Vishwamitra, Peyman Najafirad:
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually. AAAI 2024: 774-782 - [c54]Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad:
Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. USENIX Security Symposium 2024 - [c53]Isaac Corley, Jonathan Lwowski, Peyman Najafirad:
ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding. WACV 2024: 4623-4631 - 2023
- [c52]Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, Peyman Najafirad:
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph. EuroS&P 2023: 144-159 - [c51]Mazal Bethany, Andrew Seong, Samuel Henrique Silva, Nicole Beebe, Nishant Vishwamitra, Peyman Najafirad:
Towards Targeted Obfuscation of Adversarial Unsafe Images using Reconstruction and Counterfactual Super Region Attribution Explainability. USENIX Security Symposium 2023: 643-660 - 2022
- [c50]Nima Ebadi, Anthony Rios, Peyman Najafirad:
Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing. SDP@COLING 2022: 138-151 - [c49]Brandon Lwowski, Paul Rad, Anthony Rios:
Measuring Geographic Performance Disparities of Offensive Language Classifiers. COLING 2022: 6600-6616 - [c48]Isaac Corley, Peyman Najafirad:
Supervising Remote Sensing Change Detection Models With 3d Surface Semantics. ICIP 2022: 3753-3757 - [c47]Samuel Henrique Silva, Arun Das, Adel Alaeddini, Peyman Najafirad:
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks. ICWSM 2022: 968-979 - [c46]Gonzalo De La Torre Parra, Luis Selvera, Joseph Khoury, Hector Irizarry, Elias Bou-Harb, Paul Rad:
Interpretable Federated Transformer Log Learning for Cloud Threat Forensics. NDSS 2022 - [c45]Arun Das, Mehdi Roopaei, Mo M. Jamshidi, Peyman Najafirad:
Distributed AI-Driven Search Engine on Visual Internet-of-Things for Event Discovery in the Cloud. SoSE 2022: 514-521 - [c44]Nihar Bendre, Neda Zand, Sujan Bhattarai, Isaac Corley, Mo M. Jamshidi, Peyman Najafirad:
Natural Disaster Analytics using High Resolution Satellite Images. WAC 2022: 371-378 - 2021
- [c43]Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad:
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. AAAI 2021: 818-826 - [c42]Nihar Bendre, Kevin Desai, Peyman Najafirad:
Generalized Zero-Shot Learning Using Multimodal Variational Auto-Encoder With Semantic Concepts. ICIP 2021: 1284-1288 - [c41]Nihar Bendre, Kevin Desai, Peyman Najafirad:
Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention. SMC 2021: 3006-3012 - 2020
- [c40]David Hardage, Peyman Najafirad:
Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research. NLP4COVID@EMNLP 2020 - [c39]Brandon Lwowski, Peyman Najafirad:
COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning. NLP4COVID@EMNLP 2020 - [c38]Garrett Hall, Arun Das, John Quarles, Paul Rad:
Studying Adversarial Attacks on Behavioral Cloning Dynamics. ICTAI 2020: 452-459 - [c37]Rifatul Islam, Yonggun Lee, Mehrad Jaloli, Imtiaz Muhammad, Dakai Zhu, Paul Rad, Yufei Huang, John Quarles:
Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals. ISMAR 2020: 400-411 - [c36]Thinh Ngo, Brian Todd Kelley, Paul Rad:
Deep Learning Based Prediction of Signal-to-Noise Ratio (SNR) for LTE and 5G Systems. WINCOM 2020: 1-6 - 2019
- [c35]Thi Tran, Paul Rad, Rohit Valecha, H. Raghav Rao:
Misinformation Harms During Crises: When The Human And Machine Loops Interact. IEEE BigData 2019: 4644-4646 - [c34]Henry Chacon, Samuel Silva, Paul Rad:
Deep Learning Poison Data Attack Detection. ICTAI 2019: 971-978 - [c33]Alicja Kwasniewska, Maciej Szankin, Mateusz Ozga, Jason Wolfe, Arun Das, Adam Zajac, Jacek Ruminski, Paul Rad:
Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters. IECON 2019: 96-101 - [c32]Thi Tran, Rohit Valecha, Paul Rad, H. Raghav Rao:
An Investigation of Misinformation Harms Related to Social Media During Humanitarian Crises. SKM 2019: 167-181 - [c31]Sharaj Panwar, Paul Rad, John Quarles, Yufei Huang:
Generating EEG signals of an RSVP Experiment by a Class Conditioned Wasserstein Generative Adversarial Network. SMC 2019: 1304-1310 - [c30]Sharaj Panwar, Paul Rad, John Quarles, Edward J. Golob, Yufei Huang:
A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals. SMC 2019: 3943-3948 - [c29]Amin Sahba, Ramin Sahba, Paul Rad, Mo M. Jamshidi:
Optimized IoT Based Decision Making For Autonomous Vehicles In Intersections. UEMCON 2019: 203-206 - [c28]Ramin Sahba, Amin Sahba, Mo M. Jamshidi, Paul Rad:
3D Object Detection Based on LiDAR Data. UEMCON 2019: 511-514 - 2018
- [c27]Paul Rad, Mehdi Roopaei, Nicole Beebe, Mehdi Shadaram, Yoris Au:
AI Thinking for Cloud Education Platform with Personalized Learning. HICSS 2018: 1-10 - [c26]Swanand Mhalagi, Lide Duan, Paul Rad:
Designing and evaluating hybrid storage for high performance cloud computing. SysCon 2018: 1-8 - [c25]Juah C. Song, Mevlut A. Demir, John J. Prevost, Paul Rad:
Blockchain Design for Trusted Decentralized IoT Networks. SoSE 2018: 169-174 - [c24]Seyed Ali Miraftabzadeh, Paul Rad, Mo M. Jamshidi, Jeff Prevost:
Customer Review Analytics using Subjective Loss Function for Conceptual-based Learning. SoSE 2018: 211-218 - [c23]Joshua Herrera, Mevlut A. Demir, Parsa Yousefi, John J. Prevost, Paul Rad:
Distributed Edge Cloud R-CNN for Real Time Object Detection. WAC 2018: 1-5 - [c22]Mehdi Roopaei, Paul Rad, John J. Prevost:
A Wearable IoT with Complex Artificial Perception Embedding for Alzheimer Patients. WAC 2018: 1-6 - [c21]Amin Sahba, Arun Das, Paul Rad, Mo M. Jamshidi:
Image Graph Production by Dense Captioning. WAC 2018: 1-5 - [c20]Ramin Sahba, Nima Ebadi, Mo M. Jamshidi, Paul Rad:
Automatic Text Summarization Using Customizable Fuzzy Features and Attention on the Context and Vocabulary. WAC 2018: 1-5 - 2017
- [c19]Vivek Vijay Sarkale, Paul Rad, Wonjun Lee:
Secure Cloud Container: Runtime Behavior Monitoring Using Most Privileged Container (MPC). CSCloud 2017: 351-356 - [c18]Alicja Kwasniewska, Jacek Ruminski, Paul Rad:
Deep features class activation map for thermal face detection and tracking. HSI 2017: 41-47 - [c17]Andrew Boles, Paul Rad:
Voice biometrics: Deep learning-based voiceprint authentication system. SoSE 2017: 1-6 - [c16]Nicolas Gallardo, Nicholas Gamez, Paul Rad, Mo M. Jamshidi:
Autonomous decision making for a driver-less car. SoSE 2017: 1-6 - [c15]Jonathan Lwowski, Prasanna Kolar, Patrick Benavidez, Paul Rad, John J. Prevost, Mo M. Jamshidi:
Pedestrian detection system for smart communities using deep Convolutional Neural Networks. SoSE 2017: 1-6 - [c14]Sharaj Panwar, Arun Das, Mehdi Roopaei, Paul Rad:
A deep learning approach for mapping music genres. SoSE 2017: 1-5 - [c13]Abhijith R. Puthussery, Karthik P. Haradi, Berat A. Erol, Patrick Benavidez, Paul Rad, Mo M. Jamshidi:
A deep vision landmark framework for robot navigation. SoSE 2017: 1-6 - 2016
- [c12]Rohith Polishetty, Mehdi Roopaei, Paul Rad:
A Next-Generation Secure Cloud-Based Deep Learning License Plate Recognition for Smart Cities. ICMLA 2016: 286-293 - [c11]Paul Rad, Sos S. Agaian, Mehdi Roopaei, Saeed Sedighi:
Image Enhancement via Cloud Cascade Control Based Sub-Image-Clipped Histogram Equalization. SmartCloud 2016: 69-72 - [c10]Sos S. Agaian, Paul Rad, Rahul Rajendran, Karen Panetta:
A Novel Technique to Enhance Low Resolution CT and Magnetic Resonance Images in Cloud. SmartCloud 2016: 73-78 - [c9]Brian Todd Kelley, John J. Prevost, Paul Rad, Aqsa Fatima:
Securing Cloud Containers Using Quantum Networking Channels. SmartCloud 2016: 103-111 - [c8]James O. Benson, John J. Prevost, Paul Rad:
Survey of automated software deployment for computational and engineering research. SysCon 2016: 1-6 - [c7]Seyed Ali Miraftabzadeh, Paul Rad, Mo M. Jamshidi:
Efficient distributed algorithm for scheduling workload-aware jobs on multi-clouds. SoSE 2016: 1-8 - 2015
- [c6]Paul Rad, Mohan Muppidi, Aldo S. Jaimes, Sos S. Agaian, Mo M. Jamshidi:
Secure Proxy Service Using p-Fibonacci Transformation of Cosine Coefficients on Cloud File Sharing Environment. HPCC/CSS/ICESS 2015: 1454-1459 - [c5]Mohan Muppidi, Paul Rad, Sos S. Agaian, Mo M. Jamshidi:
Image segmentation by multi-level thresholding using genetic algorithm with fuzzy entropy cost functions. IPTA 2015: 143-148 - [c4]Paul Rad, Mohan Muppidi, Aldo S. Jaimes, Sos S. Agaian, Mo M. Jamshidi:
A novel image encryption method to reduce decryption execution time in cloud. SysCon 2015: 478-482 - [c3]Patrick Benavidez, Mohan Muppidi, Paul Rad, John J. Prevost, Mo M. Jamshidi, Lutcher Brown:
Cloud-based realtime robotic Visual SLAM. SysCon 2015: 773-777 - [c2]Paul Rad, Rajendra V. Boppana, Palden Lama, Gilad Berman, Mo M. Jamshidi:
Low-latency software defined network for high performance clouds. SoSE 2015: 486-491 - [c1]Mohan Muppidi, Paul Rad, Sos S. Agaian, Mo M. Jamshidi:
Image segmentation by multi-level thresholding based on fuzzy entropy and genetic algorithm in cloud. SoSE 2015: 492-497
Parts in Books or Collections
- 2017
- [p1]Seyed Ali Miraftabzadeh, Paul Rad, Mo M. Jamshidi:
Distributed Algorithm with Inherent Intelligence for Multi-cloud Resource Provisioning. Intelligent Decision Support Systems for Sustainable Computing 2017: 77-99
Informal and Other Publications
- 2024
- [i28]Nafis Tanveer Islam, Joseph Khoury, Andrew Seong, Gonzalo De La Torre Parra, Elias Bou-Harb, Peyman Najafirad:
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward. CoRR abs/2401.03374 (2024) - [i27]Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery. CoRR abs/2401.06762 (2024) - [i26]Nafis Tanveer Islam, Mohammad Bahrami Karkevandi, Peyman Najafirad:
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models. CoRR abs/2401.07031 (2024) - [i25]Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Murtuza Jadliwala, Peyman Najafirad:
Causative Insights into Open Source Software Security using Large Language Code Embeddings and Semantic Vulnerability Graph. CoRR abs/2401.07035 (2024) - [i24]Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Peyman Najafirad:
Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. CoRR abs/2401.09407 (2024) - [i23]Mazal Bethany, Athanasios Galiopoulos, Emet Bethany, Mohammad Bahrami Karkevandi, Nishant Vishwamitra, Peyman Najafirad:
Large Language Model Lateral Spear Phishing: A Comparative Study in Large-Scale Organizational Settings. CoRR abs/2401.09727 (2024) - [i22]Mazal Bethany, Brandon Wherry, Nishant Vishwamitra, Peyman Najafirad:
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually. CoRR abs/2401.11035 (2024) - [i21]Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad:
On the Consistency of Fairness Measurement Methods for Regression Tasks. CoRR abs/2406.13681 (2024) - [i20]Daniel Schumacher, Fatemeh Haji, Tara Grey, Niharika Bandlamudi, Nupoor Karnik, Gagana Uday Kumar, Jason Cho-Yu Chiang, Paul Rad, Nishant Vishwamitra, Anthony Rios:
Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems. CoRR abs/2406.19538 (2024) - 2023
- [i19]Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, Peyman Najafirad:
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph. CoRR abs/2304.11072 (2023) - [i18]Isaac Corley, Peyman Najafirad:
Single-View Height Estimation with Conditional Diffusion Probabilistic Models. CoRR abs/2304.13214 (2023) - [i17]Isaac A. Corley, Jonathan Lwowski, Peyman Najafirad:
ZRG: A High Resolution 3D Residential Rooftop Geometry Dataset for Machine Learning. CoRR abs/2304.13219 (2023) - [i16]Isaac A. Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CoRR abs/2305.13456 (2023) - 2022
- [i15]Isaac Corley, Peyman Najafirad:
Supervising Remote Sensing Change Detection Models with 3D Surface Semantics. CoRR abs/2202.13251 (2022) - [i14]Brandon Lwowski, Paul Rad, Anthony Rios:
Measuring Geographic Performance Disparities of Offensive Language Classifiers. CoRR abs/2209.07353 (2022) - 2021
- [i13]Shadi Ghafghazi, Amarie Carnett, Leslie Neely, Arun Das, Paul Rad:
AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment. CoRR abs/2102.10635 (2021) - [i12]Samuel Henrique Silva, Arun Das, Ian Scarff, Peyman Najafirad:
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification. CoRR abs/2104.02155 (2021) - [i11]Nihar Bendre, Kevin Desai, Peyman Najafirad:
Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention. CoRR abs/2105.07141 (2021) - [i10]Nima Ebadi, Peyman Najafirad:
Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction. CoRR abs/2106.08252 (2021) - [i9]Nihar Bendre, Kevin Desai, Peyman Najafirad:
Generalized Zero-Shot Learning using Multimodal Variational Auto-Encoder with Semantic Concepts. CoRR abs/2106.14082 (2021) - 2020
- [i8]Nihar Bendre, Nima Ebadi, Paul Rad:
Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model. CoRR abs/2001.10953 (2020) - [i7]Arun Das, Paul Rad:
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey. CoRR abs/2006.11371 (2020) - [i6]Samuel Henrique Silva, Peyman Najafirad:
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey. CoRR abs/2007.00753 (2020) - [i5]Nihar Bendre, Hugo Terashima-Marín, Peyman Najafirad:
Learning from Few Samples: A Survey. CoRR abs/2007.15484 (2020) - [i4]Arun Das, Jeffrey Mock, Henry Chacon, Farzan Irani, Edward J. Golob, Peyman Najafirad:
Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements. CoRR abs/2010.01231 (2020) - [i3]Nima Ebadi, Peyman Najafirad:
A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic. CoRR abs/2010.03544 (2020) - [i2]Henry D. Chacon, Paul Rad:
Effect of backdoor attacks over the complexity of the latent space distribution. CoRR abs/2012.01931 (2020) - 2019
- [i1]Sharaj Panwar, Paul Rad, Tzyy-Ping Jung, Yufei Huang:
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events. CoRR abs/1911.04379 (2019)
Coauthor Index
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