Genetic Programming Bibliography entries for Arpit Bhardwaj

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GP coauthors/coeditors: Divya Acharya, Shivani Goel, Rishi Asthana, Anosh Faredoon Billimoria, Neishka Srivastava, Nandana Varshney, Anindiya Vedant, Yashraj Saxena, Pradeep Tomar, Aditi Sakalle, Harshita Chouhan, Harshit Bhardwaj, Aruna Tiwari, M Vishaal Varma, M Ramesh Krishna, Dharmil Chandarana, Darshil Babel, Madhushi Verma, Jasjit S Suri, Divyaansh Devarriya, Cairo Gulati, Vidhi Mansharamani, Arvind Kumar, Nishant Sinha, Anuradha Purohit, Narendra S Choudhari, Narendra S Chaudhari,

Genetic Programming Articles by Arpit Bhardwaj

  1. Arvind Kumar and Nishant Sinha and Arpit Bhardwaj and Shivani Goel. Clinical risk assessment of chronic kidney disease patients using genetic programming. Computer Methods in Biomechanics and Biomedical Engineering, 25(8):887-895, 2022. Online since 02 Nov 2021. details

  2. Divya Acharya and Nandana Varshney and Anindiya Vedant and Yashraj Saxena and Pradeep Tomar and Shivani Goel and Arpit Bhardwaj. An enhanced fitness function to recognize unbalanced human emotions data. Expert Systems with Applications, 166:114011, 2021. details

  3. Arvind Kumar and Nishant Sinha and Arpit Bhardwaj. A novel fitness function in genetic programming for medical data classification. Journal of Biomedical Informatics, 112:103623, 2020. details

  4. Divyaansh Devarriya and Cairo Gulati and Vidhi Mansharamani and Aditi Sakalle and Arpit Bhardwaj. Unbalanced breast cancer data classification using novel fitness functions in genetic programming. Expert Systems with Applications, 140:112866, 2020. details

  5. Divya Acharya and Shivani Goel and Rishi Asthana and Arpit Bhardwaj. A novel fitness function in genetic programming to handle unbalanced emotion recognition data. Pattern Recognition Letters, 133:272-279, 2020. details

  6. Divya Acharya and Anosh Billimoria and Neishka Srivastava and Shivani Goel and Arpit Bhardwaj. Emotion recognition using fourier transform and genetic programming. Applied Acoustics, 164:107260, 2020. details

  7. Harshit Bhardwaj and Aditi Sakalle and Arpit Bhardwaj and Aruna Tiwari. Classification of electroencephalogram signal for the detection of epilepsy using Innovative Genetic Programming. Expert Systems, 36(1):e12338, 2019. details

  8. Arpit Bhardwaj and Aruna Tiwari and Ramesh Krishna and Vishaal Varma. A novel genetic programming approach for epileptic seizure detection. Computer Methods and Programs in Biomedicine, 124:2-18, 2016. details

  9. Arpit Bhardwaj and Aruna Tiwari. Breast cancer diagnosis using Genetically Optimized Neural Network model. Expert Systems with Applications, 42(10):4611-4620, 2015. details

  10. Arpit Bhardwaj and Aditi Sakalle and Harshita Chouhan and Harshit Bhardwaj. Controlling The Problem Of Bloating Using Stepwise Crossover And Double Mutation Technique. Advanced Computing : an International Journal, 2(6):59-68, 2011. details

Genetic Programming Books by Arpit Bhardwaj

Genetic Programming conference papers by Arpit Bhardwaj

  1. Arvind Kumar and Nishant Sinha and Arpit Bhardwaj. Predicting the Presence of Newt-Amphibian Using Genetic Programming. In Shailesh Tiwari and Munesh C. Trivedi and Mohan Lal Kolhe and K. K. Mishra and Brajesh Kumar Singh editors, Advances in Data and Information Sciences, volume 318, pages 215-223, Agra, India, 2022. Springer. details

  2. Arvind Kumar and Shivani Goel and Nishant Sinha and Arpit Bhardwaj. A Logarithmic Distance-Based Multi-Objective Genetic Programming Approach for Classification of Imbalanced Data. In Deepak Garg and Sarangapani Jagannathan and Ankur Gupta and Lalit Garg and Suneet Gupta editors, Advanced Computing, volume 1528, pages 294-304, Malta, 2021. Springer. Revised Selected Papers. details

  3. Arvind Kumar and Shivani Goel and Nishant Sinha and Arpit Bhardwaj. Assessment of Weight Factor in Genetic Programming Fitness Function for Imbalanced Data Classification. In Harish Sharma and Vijay Kumar Vyas and Rajesh Kumar Pandey and Mukesh Prasad editors, Proceedings of the International Conference on Intelligent Vision and Computing, ICIVC, volume 15, pages 1-9, Sur University College, Oman, 2021. Springer. details

  4. Harshit Bhardwaj and Aditi Sakalle and Arpit Bhardwaj and Aruna Tiwari and Madhushi Verma. Breast Cancer Diagnosis using Simultaneous Feature Selection and Classification: A Genetic Programming Approach. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI), pages 2186-2192, 2018. details

  5. Arpit Bhardwaj and Aruna Tiwari and M. Vishaal Varma and M. Ramesh Krishna. An Analysis of Integration of Hill Climbing in Crossover and Mutation operation for EEG Signal Classification. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 209-216, Madrid, Spain, 2015. ACM. details

  6. Arpit Bhardwaj and Aruna Tiwari and M. Vishaal Varma and M. Ramesh Krishna. Classification of EEG signals using a novel genetic programming approach. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2014 Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC), pages 1297-1304, Vancouver, BC, Canada, 2014. ACM. details

  7. Arpit Bhardwaj and Aruna Tiwari and Dharmil Chandarana and Darshil Babel. A Genetically Optimized Neural Network for Classification of Breast Cancer Disease. In 7th International Conference on Biomedical Engineering and Informatics (BMEI 2014), pages 693-698, 2014. details

  8. Arpit Bhardwaj and Aruna Tiwari. A Novel Genetic Programming Based Classifier Design Using a New Constructive Crossover Operator with a Local Search Technique. In De-Shuang Huang and Vitoantonio Bevilacqua and Juan Carlos Figueroa and Prashan Premaratne editors, International Conference on Intelligent Computing (ICIC 2013), volume 7995, pages 86-95, Nanning, China, 2013. Springer. details

  9. Arpit Bhardwaj and Aruna Tiwari. Performance improvement in genetic programming using modified crossover and node mutation. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1721-1722, Amsterdam, The Netherlands, 2013. ACM. details

  10. Anuradha Purohit and Arpit Bhardwaj and Aruna Tiwari and Narendra S. Chaudhari. Handling the Problem of Code Bloating to Enhance the Performance of Classifier Designed Using Genetic Programming. In Bhanu Prasad and Pawan Lingras and Ramakant Nevatia editors, Proceedings of the 5th Indian International Conference on Artificial Intelligence (IICAI 2011), pages 333-342, Tumkur, Karnataka State, India, 2011. details

  11. Anuradha Purohit and Arpit Bhardwaj and Aruna Tiwari and Narendra S. Choudhari. Removing code bloating in crossover operation in Genetic Programming. In International Conference on Recent Trends in Information Technology (ICRTIT 2011), pages 1126-1130, Anna University, Chennai, 2011. details