Krishna Sandeep Reddy Dubba

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Anthony (Tony) G CohnProfessor of Automated Reasoning, University of LeedsVerified email at leeds.ac.uk
David C HoggUniversity of LeedsVerified email at leeds.ac.uk
Arun PujariUniversity of HyderabadVerified email at uohyd.ac.in
Mehul BhattProfessor - Örebro University, SwedenVerified email at oru.se
Frank Dyllaencoway GmbH, Senior ConsultantVerified email at uni-bremen.de
Alessandro SaffiottiProfessor of Computer Science, University or Örebro, SwedenVerified email at aass.oru.se
Sebastian RockelUniversity of HamburgVerified email at rockel.cc
Federico PecoraSenior Manager, Applied Science at Amazon RoboticsVerified email at amazon.com
Sebastian StockGerman Research Center for Artificial Intelligence GmbHVerified email at dfki.de
Martin GüntherDFKI Plan Based Robot Control, OsnabrückVerified email at dfki.de
Joachim HertzbergUniversity of Osnabrück and DFKI, OsnabrückVerified email at uos.de
Masoumeh Iran MansouriAssistant Professor at the School of Computer Science, University of BirminghamVerified email at bham.ac.uk
Štefan KonečnýPhD Student, Örebro UniversityVerified email at oru.se
Ana Maria TomeUniversidade AveiroVerified email at ua.pt
Gi Hyun LimWonkwang UniversityVerified email at wku.ac.kr
Hamidreza KasaeiAssistant Professor, Department of Artificial Intelligence, University of GroningenVerified email at rug.nl
Armando J. PinhoIEETA/DETI, University of AveiroVerified email at ua.pt
Miguel Armando Riem de OliveiraUniversity of AveiroVerified email at ua.pt
Vahid MokhtariPhD in Computer ScienceVerified email at omp.com
Deborah FerreiraPhD student - Computer Science - The University of ManchesterVerified email at manchester.ac.uk

Krishna Sandeep Reddy Dubba

https://www.jeevi.ai

Verified email at fastmail.com - Homepage

Machine Learning Artificial Intelligence Cognitive Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
N-gram analysis for computer virus detection DKS Reddy, AK Pujari Journal in Computer Virology 2 (3), 231-239, 2006	155	2006
Learning Relational Event Models from Video KSR Dubba, AG Cohn, DC Hogg, M Bhatt, F Dylla Journal of Artificial Intelligence Research 53, 41-90, 2015	71	2015
An ontology-based multi-level robot architecture for learning from experiences S Rockel, B Neumann, J Zhang, KSR Dubba, AG Cohn, Š Konečný, ... Designing Intelligent robots: Reintegrating AI II. AAAI Spring Symposium …, 2013	49	2013
New malicious code detection using variable length n-grams D Reddy, S Dash, A Pujari Information Systems Security, 276-288, 2006	47	2006
Event model learning from complex videos using ILP KSR Dubba, AG Cohn, DC Hogg Proceeding of the 2010 conference on ECAI, 93-98, 2010	43	2010
Interleaved inductive-abductive reasoning for learning complex event models K Dubba, M Bhatt, F Dylla, DC Hogg, AG Cohn International Conference on Inductive Logic Programming, 113-129, 2011	36	2011
The RACE project: Robustness by autonomous competence enhancement J Hertzberg, J Zhang, L Zhang, S Rockel, B Neumann, J Lehmann, ... KI-Künstliche Intelligenz 28, 297-304, 2014	28	2014
Grounding language in perception for scene conceptualization in autonomous robots KSR Dubba, MR De Oliveira, GH Lim, H Kasaei, LS Lopes, A Tomé, ... Qualitative Representations for Robots: Papers from the AAAI Spring …, 2014	17	2014
On the evaluation of intelligent process automation D Ferreira, J Rozanova, K Dubba, D Zhang, A Freitas arXiv preprint arXiv:2001.02639, 2020	11	2020
Probabilistic relational learning of event models from video K Dubba, P Santos, A Cohn, D Hogg 21st International Conference on Inductive Logic Programming (ILP 2011), 2011	3	2011
New Malicious Code Detection Using Variable Length n-Grams SK Dash, DKS Reddy, AK Pujari Algorithms, architectures and information systems security 3, 307, 2009	2	2009
Method of Remote Access KSR Dubba, J Cali US Patent App. 17/144,640, 2021	1	2021
SCRAM: Spatially Coherent Randomized Attention Maps Dan Calian, Peter Roelants, Jacques Cali, Ben Carr, Krishna Dubba, John E ... arXiv preprint arXiv:1905.10308, 2019	1	2019
SYSTEMS AND METHODS FOR DETERMINING GUI INTERACTION INFORMATION FOR AN END USER DEVICE KSR Dubba, BM Carr, ÜR Aktas, TA Chiles US Patent App. 17/891,008, 2023		2023
DATA OBFUSCATION D Zhang, KSR Dubba US Patent App. 17/882,312, 2023		2023
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information? J Rozanova, D Ferreira, K Dubba, W Cheng, D Zhang, A Freitas arXiv preprint arXiv:2109.08634, 2021		2021
Conceptualizing Static and Dynamic Scenes KSR Dubba Robots Learning from Experiences, 89, 2014		2014

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