Rajiv Ramnath

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All published works

Action	Title	Year	Authors
+ PDF Chat	DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis	2024	Ahmad Mohammadshirazi Ali Nosratifiroozsalari Rajiv Ramnath
+ PDF Chat	DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness	2024	Ahmad Mohammadshirazi Pinaki Prasad Guha Neogi Ser-Nam Lim Rajiv Ramnath
+ PDF Chat	Federated Contrastive Learning of Graph-Level Representations	2024	Xiang Li Gagan Agrawal Rajiv Ramnath Ruoming Jin
+ PDF Chat	KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models	2024	Pouyan Navard Amin Karimi Monsefi Mengxi Zhou Wei‐Lun Chao Alper Yılmaz Rajiv Ramnath
+ PDF Chat	Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning	2024	Amin Karimi Monsefi Mengxi Zhou Nastaran Karimi Monsefi Ser-Nam Lim Wei‐Lun Chao Rajiv Ramnath
+ PDF Chat	DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks	2024	Amin Karimi Monsefi Kishore Prakash Sailaja Ali Alilooee Ser-Nam Lim Rajiv Ramnath
+ PDF Chat	Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain	2024	Amin Karimi Monsefi Payam Karisani Mengxi Zhou Stacey Choi Nathan Doble Heng Ji Srinivasan Parthasarathy Rajiv Ramnath
+ PDF Chat	DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document Annotation	2024	Ahmad Mohammadshirazi Ali Nosrati Firoozsalari Mengxi Zhou Dheeraj Kulshrestha Rajiv Ramnath
+ PDF Chat	Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques	2024	Noushin Behboudi Sobhan Moosavi Rajiv Ramnath
+ PDF Chat	Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous Data	2024	Biplob Biswas Rajiv Ramnath
+ PDF Chat	Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain	2024	Amin Karimi Monsefi Payam Karisani Mengxi Zhou Stacey Choi Nathan Doble Heng Ji Srinivasan Parthasarathy Rajiv Ramnath
+ PDF Chat	Scalable Deep Metric Learning on Attributed Graphs	2024	Xiang Li Gagan Agrawal Ruoming Jin Rajiv Ramnath
+	CrashFormer: A Multimodal Architecture to Predict the Risk of Crash	2023	Amin Karimi Monsefi Pouya Shiri Ahmad Mohammadshirazi Nastaran Karimi Monsefi R B Davies Sobhan Moosavi Rajiv Ramnath
+	Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels	2023	Sobhan Moosavi Rajiv Ramnath
+	Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations	2023	Ahmad Mohammadshirazi Aida Nadafian Amin Karimi Monsefi Mohammad Hossein Rafiei Rajiv Ramnath
+ PDF Chat	Will there be a construction?	2022	Amin Karimi Monsefi Sobhan Moosavi Rajiv Ramnath
+	Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification.	2021	Sobhan Moosavi Pravar D. Mahajan Srinivasan Parthasarathy Colleen Saunders-Chukwu Rajiv Ramnath
+	Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning	2021	Xiang Li Dong Li Ruoming Jin Gagan Agrawal Rajiv Ramnath
+	Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification	2021	Sobhan Moosavi Pravar D. Mahajan Srinivasan Parthasarathy Colleen Saunders-Chukwu Rajiv Ramnath
+	Accident Risk Prediction based on Heterogeneous Sparse Data	2019	Sobhan Moosavi Mohammad Hossein Samavatian Srinivasan Parthasarathy Radu Teodorescu Rajiv Ramnath
+	Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation.	2019	Manirupa Das Zhen Wang Evan Jaffe Madhuja Chattopadhyay Eric Fosler‐Lussier Rajiv Ramnath
+	Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data	2019	Sobhan Moosavi Mohammad Hossein Samavatian Arnab Nandi Srinivasan Parthasarathy Rajiv Ramnath
+	Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model	2019	Renhao Cui Gagan Agrawal Rajiv Ramnath
+	A Countrywide Traffic Accident Dataset	2019	Sobhan Moosavi Mohammad Hossein Samavatian Srinivasan Parthasarathy Rajiv Ramnath
+	Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets	2019	Renhao Cui Gagan Agrawal Rajiv Ramnath
+	Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction using Neural Attention for Complex Query Reformulation and Automated Text Categorization	2019	Manirupa Das Juanxi Li Eric Fosler‐Lussier Simon Lin Soheil Moosavinasab Steve Rust Yungui Huang Rajiv Ramnath
+	Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation	2019	Manirupa Das Zhen Wang Evan Jaffe Madhuja Chattopadhyay Eric Fosler‐Lussier Rajiv Ramnath
+	Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model	2019	Renhao Cui Gagan Agrawal Rajiv Ramnath
+ PDF Chat	QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites	2018	Jiankai Sun Sobhan Moosavi Rajiv Ramnath Srinivasan Parthasarathy
+	Discovery of Driving Patterns by Trajectory Segmentation	2018	Sobhan Moosavi Arnab Nandi Rajiv Ramnath
+	QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites	2018	Jiankai Sun Sobhan Moosavi Rajiv Ramnath Srinivasan Parthasarathy
+	Discovery of Driving Patterns by Trajectory Segmentation	2018	Sobhan Moosavi Arnab Nandi Rajiv Ramnath
+ PDF Chat	Characterizing Driving Context from Driver Behavior	2017	Sobhan Moosavi Behrooz Omidvar-Tehrani Romany Craig Arnab Nandi Rajiv Ramnath
+	Annotation of Car Trajectories based on Driving Patterns	2017	Sobhan Moosavi Behrooz Omidvar-Tehrani Romany Craig Rajiv Ramnath
+	Annotation of Car Trajectories based on Driving Patterns	2017	Sobhan Moosavi Behrooz Omidvar-Tehrani R. Bruce Craig Rajiv Ramnath
+ PDF Chat	Discovery of driving patterns by trajectory segmentation	2016	Sobhan Moosavi Rajiv Ramnath Arnab Nandi
+	Looking at Software Sustainability and Productivity Challenges from NSF	2015	Daniel S. Katz Rajiv Ramnath

Common Coauthors

Coauthor	Papers Together
Sobhan Moosavi	17
Srinivasan Parthasarathy	9
Amin Karimi Monsefi	8
Gagan Agrawal	6
Ahmad Mohammadshirazi	5
Arnab Nandi	5
Mengxi Zhou	3
Eric Fosler‐Lussier	3
Ruoming Jin	3
Ser-Nam Lim	3
Mohammad Hossein Samavatian	3
Manirupa Das	3
Behrooz Omidvar-Tehrani	3
Zhen Wang	2
Evan Jaffe	2
Colleen Saunders-Chukwu	2
Nathan Doble	2
Madhuja Chattopadhyay	2
Pravar D. Mahajan	2
Renhao Cui	2
Romany Craig	2
Payam Karisani	2
Nastaran Karimi Monsefi	2
Mengxi Zhou	2
Jiankai Sun	2
Wei‐Lun Chao	2
Stacey Choi	2
Heng Ji	1
Mohammad Hossein Rafiei	1
Juanxi Li	1
Biplob Biswas	1
Radu Teodorescu	1
Aida Nadafian	1
R B Davies	1
Pouyan Navard	1
Noushin Behboudi	1
Ali Nosrati Firoozsalari	1
Dheeraj Kulshrestha	1
Xiang Li	1
Xiang Li	1
Dong Li	1
R. Bruce Craig	1
Xiang Li	1
Pinaki Prasad Guha Neogi	1
Steve Rust	1
Alper Yılmaz	1
Soheil Moosavinasab	1
Ali Alilooee	1
Ali Nosratifiroozsalari	1
Renhao Cui	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data	2019	Sobhan Moosavi Mohammad Hossein Samavatian Arnab Nandi Srinivasan Parthasarathy Rajiv Ramnath	4
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	2
+	Generating Sequences With Recurrent Neural Networks	2013	Alex Graves	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+ PDF Chat	A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction	2018	Honglei Ren You Song Jingwen Wang Yucheng Hu Jinzhi Lei	2
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+	Attention-Based Models for Speech Recognition	2015	Jan Chorowski Dzmitry Bahdanau Dmitriy Serdyuk Kyunghyun Cho Yoshua Bengio	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Accident Risk Prediction based on Heterogeneous Sparse Data	2019	Sobhan Moosavi Mohammad Hossein Samavatian Srinivasan Parthasarathy Radu Teodorescu Rajiv Ramnath	2
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	2
+ PDF Chat	Discovery of driving patterns by trajectory segmentation	2016	Sobhan Moosavi Rajiv Ramnath Arnab Nandi	2
+	Reasoning about Entailment with Neural Attention	2015	Tim Rocktäschel Edward Grefenstette Karl Moritz Hermann Tomáš Kočiský Phil Blunsom	2
+ PDF Chat	Characterizing Driving Context from Driver Behavior	2017	Sobhan Moosavi Behrooz Omidvar-Tehrani Romany Craig Arnab Nandi Rajiv Ramnath	2
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	1
+	A C-LSTM Neural Network for Text Classification	2015	Chunting Zhou Chonglin Sun Zhiyuan Liu Francis C. M. Lau	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Contextual LSTM (CLSTM) models for Large scale NLP tasks	2016	Shalini Ghosh Oriol Vinyals Brian Strope Scott Roy Tom Dean Larry Heck	1
+	Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture	2016	Ashesh Jain Hema Swetha Koppula Shane Soh Bharad Raghavan Avi Singh Ashutosh Saxena	1
+	Variational Recurrent Auto-Encoders	2014	Otto Fabius Joost R. van Amersfoort	1
+ PDF Chat	LSTM: A Search Space Odyssey	2016	Klaus Greff Rupesh K. Srivastava Jan Koutník Bas R. Steunebrink Jürgen Schmidhuber	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Twitter mood predicts the stock market	2011	Johan Bollen Huina Mao Xiao‐Jun Zeng	1
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	1
+ PDF Chat	Addressing Complex and Subjective Product-Related Queries with Customer Reviews	2016	Julian McAuley Alex Yang	1
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	1
+	Characterizing individual communication patterns	2009	R. Dean Malmgren Jake M. Hofman Luı́s A. Nunes Amaral Duncan J. Watts	1
+ PDF Chat	Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification	2015	Zuxuan Wu Xi Wang Yu‐Gang Jiang Hao Ye Xiangyang Xue	1
+	Modeling Rich Contexts for Sentiment Classification with LSTM	2016	Minlie Huang Yujie Cao Chao Dong	1
+	Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention	2016	Yang Liu Chengjie Sun Lei Lin Xiaolong Wang	1
+	SQuAD: 100,000+ Questions for Machine Comprehension of Text	2016	Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang	1
+ PDF Chat	Beyond short snippets: Deep networks for video classification	2015	Joe Yue-Hei Ng Matthew Hausknecht Sudheendra Vijayanarasimhan Oriol Vinyals Rajat Monga George Toderici	1
+	End-to-end memory networks	2015	Sainbayar Sukhbaatar Arthur Szlam Jason Weston Rob Fergus	1
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	1
+ PDF Chat	Defining and Evaluating Network Communities Based on Ground-Truth	2012	Jaewon Yang Jure Leskovec	1
+	Annotation of Car Trajectories based on Driving Patterns	2017	Sobhan Moosavi Behrooz Omidvar-Tehrani Romany Craig Rajiv Ramnath	1
+	Modularity and community structure in networks	2006	M. E. J. Newman	1
+ PDF Chat	Dynamics of Content Quality in Collaborative Knowledge Production	2017	Emilio Ferrara Nazanin Alipoufard Keith Burghardt Chiranth Gopal Kristina Lerman	1
+	Driver Action Prediction Using Deep (Bidirectional) Recurrent Neural Network	2017	O. Olabiyi Eric Martinson V. Suresh Chintalapudi Rui Guo	1
+ PDF Chat	Klout score: Measuring influence across multiple social networks	2015	Adithya Rao Nemanja Spasojevic Zhisheng Li Trevor Dsouza	1
+	Stochastic Answer Networks for Machine Reading Comprehension	2017	Xiaodong Liu Yelong Shen Kevin Duh Jianfeng Gao	1
+	Deep Learning using Rectified Linear Units (ReLU)	2018	Abien Fred Agarap	1
+ PDF Chat	Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection	2017	Emre Çakır Giambattista Parascandolo Toni Heittola Heikki Huttunen Tuomas Virtanen	1
+	Probabilistic FastText for Multi-Sense Word Embeddings	2018	Ben Athiwaratkun Andrew Gordon Wilson Anima Anandkumar	1
+	Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data	2018	David Hallac Suvrat Bhooshan Michael Chen Kacem Abida Rok Sosič Jure Leskovec	1
+ PDF Chat	Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels	2018	Benjamin Meyer Ben Harwood Tom Drummond	1
+	Autoencoder Regularized Network For Driving Style Representation Learning	2017	Weishan Dong Ting Yuan Kai Yang Changsheng Li Shilei Zhang	1
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	1
+	Show, Attend and Tell: Neural Image Caption Generation with Visual Attention	2015	Kelvin Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov Richard S. Zemel Yoshua Bengio	1
+	Characterizing Driving Styles with Deep Learning	2016	Weishan Dong Jian Li Renjie Yao Changsheng Li Ting Yuan Lanjun Wang	1
+	Fractional Max-Pooling	2014	Benjamin Graham	1