Book Chapters & Conference Proceeding Papers

Please visit my new website for latest publications

 

Year 2012

 

T. Ghaffar, W. Shahzad, and A. R. Baig, “Parallel rule generation for making an efficient classification system,” in Proc. 3rd Int. Conf. on Information Science and Applications (ICISA), Suwon, S. Korea, May 2012, pp. 229-232.

 

Year 2011

 

A. Iqbal, N. K. Khan, S. Akram, and A. R. Baig, “Hybrid mutation based evolutionary approach for function optimization,” in Proc. 6th Int. Conf. on Computer Sciences and Convergence Information Technology (ICCIT-2011), Jeju, South Korea, Dec. 2011, pp. 803-808.

 

H. Jabeen and A. R. Baig, “Lazy learning for multi-class classification using genetic programming,” in Lecture Notes in Computer Science, vol. 6839/2011, pp. 177-182. [ISSN: 0302-9743].

 

R. Ahsan, W. Shahzad, and A. R. Baig, “Trends and challenges in dynamic optimization problems,” in Proc. 11th IEEE Int. Conf. on Hybrid Intelligent Systems (HIS-2011), Malacca, Malaysia, Dec. 2011. 

 

H. Jabeen and A. R. Baig, “Two-stage learning for multi-class classification using genetic programming,” in Proc. 7th Int. Conf. on Intelligent Computing (ICIC-2011), Zhengzhou, China, Aug. 2011.

 

S. Jamil, A. Khan, Z. Halim, and A. R. Baig, “Weighted MUSE for frequent sub-graph pattern finding in uncertain DBLP data,” in Proc. 2nd Int. Conf. on Internet Technology and Applications, Wuhan, China, Aug. 2011.

 

Z. Halim, M. M. Gul, N. Hassan, A. R. Baig, S. Rehman, and F. Naz, “Malicious users’ circle detection in social network based on spatio-temporal co-occurrence,” in Proc. Int. Conf. on Computer Networks and Information Technology, Bara Gali, Pakistan, Jul. 2011.

 

Z. Halim and A. R. Baig, “Evolutionary algorithms towards generating entertaining games,” in Springer Book Series: Studies in Computational Intelligence, vol. 352/2011, Next Generation Data Technologies for Collective Computational Intelligence, Studies in Computational Intelligence Series, pp. 383 – 413. [ISBN: 978-3-642-20343-5].

 

Year 2010

 

M. Rashid and A. R. Baig, “Honey bee foraging PSO algorithm with species identification,” in Proc. 2nd Int. Conf. on Science and Engineering, (ICSE 2010), Yangon, Myanmar, Dec. 2010, pp. 323-327.

 

H. Jabeen and A. R. Baig, “CLONAL-GP framework for artificial immune system inspired genetic programming for classification,” in Proc. 14th Int. Conf. on Knowledge Based and Intelligent Information and Engineering Systems (KES 2110), Cardiff, UK, Sept. 2010. Lecture Notes in Computer Science, vol. 6276, pp. 61-68. [ISSN: 0302-9743].

 

S. Qayyum, S. Mansoor, A. Khalid, Khushbakht, Z. Halim, and A. R. Baig, “Fraudulent call detection for mobile networks,” in Proc. IEEE Int. Conf. on Information and Emerging Technologies (ICIET 2010), Karachi, Pakistan, Jun. 2010.

 

H. Jabeen and A. R. Baig, “A framework for optimization of genetic programming evolved classifier expressions using particle swarm optimization,” in Proc. 5th Int. Conf. on Hybrid Artificial Intelligence Systems (HAIS-2010), San Sebastian, Spain, Jun. 2010. Lecture Notes in Computer Science, vol. 6076, pp. 56-63. [ISSN: 0302-9743].

 

N. K. Khan,  M. A. Iqbal , and A. R. Baig, “Data mining by discrete PSO using natural encoding,” in Proc. FutureTech2010, Busan, Korea, May 2010.

 

H. Jabeen and A. R. Baig, “Particle swarm optimization based tuning of genetic program evolved classifier expressions,” in Proc. Int. Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO ’10). Springer Book Series: Studies in Computational Intelligence, vol. 284/2010, May 2010, pp. 385 – 397. [ISBN: 978-3-642-12537-9].

 

M. Rashid and A. R. Baig, “Improved opposition based PSO for feedforward neural network training,” in Proc. Int. Conf. on Information Science and Applications, (ICISA 2010), Seoul, Korea, Apr. 2010.

 

M. Amjad Iqbal, N. Kazim, A. Jaffar, M. Ramzan, and A. R. Baig, “Opposition based genetic algorithm with Cauchy mutation for function optimization,” in Proc. Int. Conf. on Information Science and Applications, (ICISA 2010), Seoul, Korea, Apr. 2010.

 

N. Kazim, A. R. Baig, and M. Amjad Iqbal, “A new discrete PSO for data classification,” in Proc. Int. Conf. on Information Science and Applications, (ICISA 2010), Seoul, Korea, Apr. 2010.

 

Year 2009

 

Z. Halim and A. R. Baig, “Towards evolutionary game generation,” in Proc. ACIT 2009, Sanaa, Yemen, Dec. 2009.

 

K. Zafar, A. R. Baig, S. Badar, and H. Naveed “Multi agent based mine detection and route planning using learning RTA* algorithm,” in Proc. 2nd Int. Conf. on Computer Science and its Applications, Jeju, S. Korea, Dec. 2009.

 

Z. Halim and A. R. Baig, “Automatic generation of interesting games,” in Proc. 2nd Int. Conf. on Computer Science and its Applications, Jeju, S. Korea, Dec. 2009.

 

K. Waqas, A. R. Baig, and S. Ali, “Feature subset selection using multi-objective genetic algorithms,” in Proc. INMIC 2009, Islamabad, Pakistan, Dec. 2009.

 

S. Khan, M. Bilal, M. Sharif, M. Sajid, and A. R. Baig, “Solution of n-queen problem using ACO,” in Proc. INMIC 2009, Islamabad, Pakistan, Dec. 2009.

 

Z. Halim and A. R. Baig, “Modular indoor games: a hybrid of video and outdoor games,” in Proc. Int. Conf. on Computational Intelligence and Software Engineering (CiSE), Wuhan, China, Dec. 2009.

 

M. Rashid and A. R. Baig, “Niching with sub-swarm based particle swarm optimization,” in Proc. Int. Conf. on Information Theory and Engg., (ICITE 2009), Malaysia, Nov. 2009.

 

M. Asif and A. R. Baig, “Solving NP-complete problem using ACO algorithm,” in Proc. 5th IEEE - ICET, Islamabad, Pakistan, Oct. 2009.

 

M. Rashid and A. R. Baig, “Speciation with GP based hybrid PSO,” in Proc. IACSIT Autumn Conf., Singapore, Oct. 2009.

 

M. Rashid and A. R. Baig, “Honey bee foraging PSO algorithm with self-adjusting neighborhood size,” in Proc. 2nd Int. Conf. on Adv. Computer Theory and Engg. (ICACTE 2009), Cairo, Egypt, Sept. 2009.

 

F. Shahzad, M. Kamran, N. Naveed, and A. R. Baig, “Opposition based velocity clamping particle swarm optimization algorithm,” in Proc. 2nd Int. Workshop on Advanced Computational Intelligence (IWACI), Mexico, Aug. 2009. [Springer Book Series: Advances in Intelligent and Soft Computing, Book Advances in Computational Intelligence. vol. 116/2009, pp. 339-348, ISBN: 978-3-642-03155-7].

 

H. Jabeen, Z. Jalil, and A. R. Baig, “Opposition based particle swarm optimization (O-PSO),” in Proc. Genetic and Evolutionary Computation Conf. (GECCO ‘09) (Late breaking papers), Canada, Jul. 2009.

 

A. Munir, A. Farooqi, and A. R. Baig, “THE: traffic light simulator and optimization using genetic algorithm,” in Proc. Int. Conf. on Telecom Tech. and Appl. (ICTTA), Manila, Philippines, Jun. 2009.

 

H. Mujtaba and A. R. Baig, “Retaining the lessons from past for better performance in a dynamic multiple task environment,” in Proc. Congress on Evolutionary Computations (CEC), Norway, May 2009.

 

Year 2008

 

H. Mujtaba and A. R. Baig, “Survival by continuous learning in a dynamic multiple task environment,” in Proc. IEEE Symposium on Computational Intelligence in Games (CIG), Australia, Dec. 2008. 

 

M. A. Niazi, A. Hussain, A. R. Baig, and S. Bhatti “Simulation of the research process,” in Proc. Winter Simulation Conf., Florida, USA, Dec. 2008.

 

M. Rashid and A. R. Baig, “Adaptable evolutionary particle swarm optimization,” in Proc. 3rd Int. Conf. on Innovative Computing, Information and Control, China, June 2008.

 

M. Aniq, Z. Halim, and A. R. Baig, “MST and SFMST based clustering,” in Proc. 1st National Conf. on Security Computing and Communication, Kohat, Pakistan, May 2008.

 

S. Salman Ahmed, Z. Halim, A. R. Baig, and N. Habib, “Association rule mining towards business solution,” in Proc. 1st National Conf. on Security Computing and Communication, Kohat, Pakistan, May 2008.

 

S. Bashir, Z. Halim, and A. R. Baig, “Mining fault tolerant frequent patterns using pattern growth approach,” in Proc. 6th ACS/IEEE Int. Conf. on Computer Systems and Applications (AICCSA), Qatar, Apr. 2008

 

S. S. Ahmed, Z. Halim, A. R. Baig, and S. Bashir, “Web content mining: a solution to consumer’s product hunt,” in Proc. World Academy of Science, Engineering and Technology (WASET), Cairo, Egypt, vol. 27, Feb. 2008.

 

Year 2007

 

M. A. Niazi and A. R. Baig “Phased approach to simulation of security algorithms for ambient intelligent (ami) environments,” in Proc. 2007 Winter Simulation Conf., USA, Dec. 2007.

 

S. Bashir, Z. Jan, and A. R. Baig, “N-MostMiner: applying bit-vector projection approach for efficient mining of n-most interesting frequent itemsets,” in Proc. 3rd Int. IASTED Conf. on Computational Intelligence, Canada, Jul. 2007.

 

Z. Halim, A. R. Baig, and S. Bashir, “Temporal patterns analysis in EEG data using sonification,” in Proc. ICIET (FAST-NUCES), Karachi, Pakistan, Jul. 2007.

 

A. R. Baig and M. Rashid, “Honey bee foraging algorithm for multimodal and dynamic optimization problems,” in Proc. GECCO, London, UK, Jul. 2007.

 

S. Bashir and A. R. Baig, “Max-FPT: mining maximal fault-tolerant frequent patterns from databases,” in Proc. of 24th British National Conf. on Databases (BNCOD), Glasgow, UK, Jul. 2007. Lecture Notes in Computer Science, vol. 4587, pp. 235-246. [ISSN: 0302-9743].

 

Z. Halim, A. R. Baig, and S. Bashir, “Classifying EEG data based on novel rhythms extraction technique,” in Proc. NCICT, Bannu, Pakistan, Jun. 2007.

 

U. Suleman, A. R. Baig, and M. Awais, “Learning by imitation: a scheme for offline learning of robot control through demonstration by other robot,” in Proc. Workshop on Multi Robotic Systems for Societal Application, Int. Joint Conf. of Artificial Intelligence, IJCAI-07, Hyderabad, India, January 2007, pp. 17-23.

 

Year 2006

 

S. Bashir and A. R. Baig, “Performance analysis of frequent itemset mining using hybrid database representation approach,” in Proc. 10th IEEE INMIC, Islamabad, Pakistan, Dec. 2006.

 

S. Bashir, M. Shuaib, Y. Sultan, and A. R. Baig, “Improving frequent itemset mining algorithm performance using efficient implementation techniques: a benchmark solution,” in Proc. 2nd IEEE-ICET, Peshawar, Pakistan, Nov. 2006.

 

Z. Halim, A. R. Baig, and S. Bashir, “Sonification: a novel approach towards data mining,” in Proc. 2nd IEEE-ICET, Peshawar, Pakistan, Nov. 2006

 

S. Bashir, S. Razzaq, U. Maqbool, S. Tahir, and A. R. Baig, “Using association rules mining for better treatment of missing values,” in Proc. 10th WSEAS CSCC Multiconference, Vouliagmeni Beach - Athens, Greece, Jul. 2006.

 

K. Zafar, S. Badar, and A. R. Baig, “Mine detection and route planning in military warfare using multi agent system,” in Proc. 30th IEEE Int. Workshop on Engineering Semantic Agent Systems (COMPSAC-ESAS 2006),  Chicago,  USA, Sept. 2006.

 

S. Bashir and A. R. Baig, “FastLMFI: an efficient approach for local maximal patterns propagation and maximal patterns superset checking,” in Proc. IEEE-AICCSA, UAE, 2006.

 

S. Bashir and A. R. Baig, “Ramp: high performance frequent itemset mining with efficient bit-vector projection technique,” in Proc. PAKDD, Singapore, Apr. 2006. Springer Lecture Notes in Computer Science, vol. 3918, pp. 504-508, [ISSN: 0302-9743].

 

Years 1996 – 2005

 

S. Bashir and A. R. Baig, “HybridMiner: mining maximal frequent itemsets using hybrid database representation approach,” in Proc. IEEE-INMIC, Pakistan, 2005.

 

A. Mehdi and A. R. Baig, “Automatic generation and optimization of fuzzy rules,” in Proc. CI, Canada, 2005.

 

A. R. Baig and M. Hussain, “Online signature recognition and writer identification by spatial-temporal neural processing,” in Proc. INMIC, Pakistan, 2004.

 

A. R. Baig, “Spatial-temporal artificial neurons applied to online cursive handwritten character recognition,” in Proc. ESANN, Belgium, 2004.

 

A. A. Qureshi, A. R. Baig, S. K. Ayazuddin, S. Pervez, and M. Iqbal, “Experience of vibration diagnostic measurement during commissioning of upgraded Pakistan research reactor – 1,” in Proc. 1st National Conf. on Condition Monitoring and Diagnostics (CMD – 2001), Pakistan, 2001.

 

A. R. Baig, R. Seguier, and G. Vaucher, “Image sequence analysis using a spatio-temporal coding for automatic lipreading,” in Proc. ICIAP ’99, Italy, 1999.

 

A. R. Baig, R. Seguier and G. Vaucher, “A spatio-temporal neural network applied to visual speech recognition,” in Proc. ICANN ’99, UK, 1999.

 

N. Mozayyani, A. R. Baig, and G. Vaucher, “A fully neural solution for on-line handwritten character recognition,” in Proc. IJCNN ’98, USA, 1998.          

 

A. Karim, S. Ansari, and A. R. Baig, “Development of a central PC-based system for reactor signal monitoring and analysis,” Tech. Doc. No. 1004 of IAEA, 1998.