Rakshit Agrawal

34 papers A* 1A 1C 1Misc 4Journal 11Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques. Discov. Internet Things Mahendra Kumar Gourisaria, Rakshit Agrawal, Manoj Sahni, Pradeep Kumar Singh
2023	J	`jnl`	Exploration of Deep Neural Networks and Effect of Optimizer for Pulmonary Disease Diagnosis. SN Comput. Sci. Rakshit Agrawal, Hrishita Sarkar, Abhisek Omkar Prasad, Abhaya Kumar Sahoo, Ankit Vidyarthi, Rabindra Kumar Barik
2022	—	`conf`	Long-Term Study of Honeypots in a Public Cloud. DSN (Supplements) Rakshit Agrawal, Jack W. Stokes, Lukas Rist, Ryan Littlefield, Xun Fan, Ken Hollis, Zane Coppedge, Noah Chesterman, Christian Seifert
2021	J	`jnl`	Arrhythmia Detection Using Deep Belief Network Extracted Features From ECG Signals. Int. J. E Health Medical Commun. Mahendra Kumar Gourisaria, Harshvardhan GM, Rakshit Agrawal, Sudhansu Shekhar Patra, Siddharth Swarup Rautaray, Manjusha Pandey
2020	Misc	`conf`	Detection of Malicious Vbscript Using Static and Dynamic Analysis with Recurrent Deep Learning. ICASSP Jack W. Stokes, Rakshit Agrawal, Geoff McDonald
2020	—	`conf`	Textual Evidence for the Perfunctoriness of Independent Medical Reviews. KiML@KDD Adrian Brasoveanu, Megan Moodie, Rakshit Agrawal
2019	J	`jnl`	A New Family of Neural Networks Provably Resistant to Adversarial Attacks. CoRR Rakshit Agrawal, Luca de Alfaro, David P. Helmbold
2019	Misc	`conf`	Attention in Recurrent Neural Networks for Ransomware Detection. ICASSP Rakshit Agrawal, Jack W. Stokes, Karthik Selvaraj, Mady Marinescu
2019	—	`conf`	CompostNet: An Image Classifier for Meal Waste. GHTC Sarah Frost, Bryan Tor, Rakshit Agrawal, Angus G. Forbes
2019	—	`conf`	Fire detection in video sequences using a machine learning system and a clustered quantitative image marker. GHTC Abolfazl Zargari Khuzani, Rakshit Agrawal, Najmeh Mashhadi
2019	—	`—`	Generalized Learning Models for Structured Data. Rakshit Agrawal
2019	J	`jnl`	Identifying Fake News from Twitter Sharing Data: A Large-Scale Study. CoRR Rakshit Agrawal, Luca de Alfaro, Gabriele Ballarin, Stefano Moret, Massimo Di Pierro, Eugenio Tacchini, Marco L. Della Vedova
2019	A*	`conf`	Learning Edge Properties in Graphs from Path Aggregations. WWW Rakshit Agrawal, Luca de Alfaro
2019	J	`jnl`	Learning Edge Properties in Graphs from Path Aggregations. CoRR Rakshit Agrawal, Luca de Alfaro
2019	—	`conf`	Predicting Biker Density at Bikeshare Station Intersections in San Francisco. GHTC Mahika Dubey, Alan Peral Ortiz, Rakshit Agrawal, Angus G. Forbes
2019	—	`conf`	Predicting Substance Misuse Admission Rates via Recurrent Neural Networks. GHTC Matthew J. Howard, Rakshit Agrawal
2019	—	`conf`	ScriptNet: Neural Static Analysis for Malicious JavaScript Detection. MILCOM Jack W. Stokes, Rakshit Agrawal, Geoff McDonald, Matthew J. Hausknecht
2019	J	`jnl`	ScriptNet: Neural Static Analysis for Malicious JavaScript Detection. CoRR Jack W. Stokes, Rakshit Agrawal, Geoff McDonald, Matthew J. Hausknecht
2018	A	`conf`	Identifying Children's Fidget Object Preferences: Toward Exploring the Impacts of Fidgeting and Fidget-Friendly Tangibles. Conference on Designing Interactive Systems Suzanne B. da Câmara, Rakshit Agrawal, Katherine Isbister
2018	—	`conf`	Learning User Intent from Action Sequences on Interactive Systems. AAAI Workshops Rakshit Agrawal, Anwar Habeeb, Chih-Hsin Hsueh
2018	J	`jnl`	Neural Classification of Malicious Scripts: A study with JavaScript and VBScript. CoRR Jack W. Stokes, Rakshit Agrawal, Geoff McDonald
2018	Misc	`conf`	Neural Sequential Malware Detection with Parameters. ICASSP Rakshit Agrawal, Jack W. Stokes, Mady Marinescu, Karthik Selvaraj
2018	—	`conf`	Robust Neural Malware Detection Models for Emulation Sequence Learning. MILCOM Rakshit Agrawal, Jack W. Stokes, Mady Marinescu, Karthik Selvaraj
2018	J	`jnl`	Robust Neural Malware Detection Models for Emulation Sequence Learning. CoRR Rakshit Agrawal, Jack W. Stokes, Mady Marinescu, Karthik Selvaraj
2017	J	`jnl`	Learning User Intent from Action Sequences on Interactive Systems. CoRR Rakshit Agrawal, Anwar Habeeb, Chih-Hsin Hsueh
2017	—	`conf`	Learning from Graph Neighborhoods Using LSTMs. AAAI Workshops Rakshit Agrawal, Luca de Alfaro, Vassilis Polychronopoulos
2016	J	`jnl`	Learning From Graph Neighborhoods Using LSTMs. CoRR Rakshit Agrawal, Luca de Alfaro, Vassilis Polychronopoulos
2016	C	`conf`	Predicting the quality of user contributions via LSTMs. OpenSym Rakshit Agrawal, Luca de Alfaro
2015	—	`conf`	Collaborative systems with applications for social good. OpenSym Companion Rakshit Agrawal
2015	—	`conf`	QuickResponseHost: Enabling crowdsourced disaster response stations. GHTC Rakshit Agrawal, Aaron Springer, Emily Lovell
2013	—	`conf`	Exploring suitable interfaces for agriculture based smartphone apps in India. APCHI Rakshit Agrawal, Mridu Atray, Krishna Sundari Sattiraju
2013	—	`conf`	KrishiEkta: integrated knowledge and information distribution system for Indian agriculture. ACM DEV (4) Rakshit Agrawal, Mridu Atray, S. Krishna Sundari
2012	—	`conf`	Concept to design a hand-held crop management device (CMD) for farmers. ACM DEV Rakshit Agrawal, Mridu Atray, S. Krishna Sundari
2012	Misc	`conf`	Sensor network architecture for soil and weather data extraction and database generation. SenSys Rakshit Agrawal, Mridu Atray, S. Krishna Sundari